Jobs Software Architect

We are seeking an exceptional Tokenomics Architect to take full ownership of our sports betting platform's token economy. This is a long-term strategic role where you will be the driving force behind our tokenomics strategy, designing sustainable economic models, and leading our token's journey from internal optimization to external exchange listings.

 

You will work directly with our leadership team to architect, implement, and continuously optimize our token ecosystem, ensuring it delivers value to users while maintaining platform sustainability and growth.

 

Key Responsibilities

• ✅ Own and manage the complete tokenomics strategy for our sports betting platform
• ✅ Design and implement sustainable token economic models that drive user engagement and platform growth
• ✅ Write and deploy secure, optimized smart contracts for our token ecosystem
• ✅ Develop comprehensive tokenomics documentation including whitepapers and technical specifications
• ✅ Plan and execute token launches on external exchanges (CEX and DEX)
• ✅ Analyze token performance metrics and suggest strategic improvements to enhance token utility and value
• ✅ Design reward mechanisms, staking programs, and incentive structures for the sports betting ecosystem
• ✅ Collaborate with development team on token integration across platform features
• ✅ Monitor market trends and competitor tokenomics to maintain competitive advantage
• ✅ Ensure compliance with regulatory requirements for token operations
• ✅ Manage token supply, distribution, and vesting schedules

Requirements

• ✔ 5+ years of experience in blockchain and cryptocurrency ecosystems
• ✔ Proven track record of designing and implementing successful tokenomics models
• ✔ Expert-level proficiency in Solidity and smart contract development
• ✔ Deep understanding of Ethereum, Solana, or other major blockchain platforms
• ✔ Hands-on experience with token launches and exchange listings (both CEX and DEX)
• ✔ Strong knowledge of DeFi protocols, liquidity mechanisms, and token economics principles
• ✔ Experience with sports betting, gambling, or gaming platforms is highly valuable
• ✔ Excellent analytical skills with ability to model complex economic systems
• ✔ Understanding of Web3.js, Ethers.js, and blockchain development tools
• ✔ Ability to work independently and take full ownership of the tokenomics function
• ✔ Strong communication skills to explain complex tokenomics concepts to stakeholders
• ✔ Experience with token security audits and best practices

Nice to Have

• ➕ Background in economics, game theory, or financial modeling
• ➕ Knowledge of DAO governance structures and tokenized voting systems
• ➕ Familiarity with regulatory frameworks for cryptocurrency in multiple jurisdictions
• ➕ Previous experience with high-volume transaction systems
• ➕ Understanding of Layer 2 solutions and scalability approaches
• ➕ Portfolio of successful token projects with measurable outcomes
• ➕ Experience with Tokenomics analysis tools and blockchain analytics platforms
• ➕ Knowledge of sports betting mechanics and user behavior

NuxGame is a dynamic IT company delivering top-tier software solutions for the iGaming industry. We empower operators of all sizes to expand into new markets, strengthen their existing brands, and achieve ambitious business goals.

We are looking for a Solution Architect to join our Global (Core) Team. This is a hands-on architecture role: you will design how our platform evolves, own its behavior in production, and drive real improvements in reliability, performance, and scalability. You will work closely with the CTO, Tech Leads of product teams, and the Core Solution Engineer, who turns architecture into reusable libraries and standards.

Tech Stack: PHP 8, Laravel, Go, Vue 3, MySQL / Aurora, ClickHouse, Redis, Memcached, SQS, Kafka, gRPC, Kubernetes, AWS, Cloudflare, nginx.

Context: a multi-tenant platform, a hybrid architecture (Laravel monolith + growing Go services) and an ongoing shift from HTTP to event-driven (Kafka) and gRPC communication.

Your Responsibilities:

1. System Design & Architecture

• Service Boundaries: design systems, define service interactions and domain boundaries.
• Monolith vs Services: decide what stays in the monolith and what becomes a separate service, avoiding a distributed monolith and overengineering.
• Communication & Events: define event flows and rules for sync vs async communication (HTTP, Kafka, gRPC, SQS).
• Multi-tenancy: design config-driven, scalable client configuration without tenant-specific hacks in the core system.

2. Production Health & Troubleshooting

• System Health Ownership: own the behavior of the system in production, participate in incident analysis and find real root causes.
• Metrics-Driven Analysis: analyze latency (p95/p99), error rates, queue lag and retries to understand where the system breaks.
• Stability: fix bottlenecks, reduce queue lag, stabilize critical flows and reduce the number of incidents.
• Data over Opinion: validate decisions with real metrics, not assumptions.

3. Technical Initiatives & Implementation

• Initiatives: drive improvements such as an idempotency layer, reliable async flows, caching and service boundary redesign.
• Prototyping (POC): validate ideas and performance before rollout.
• Critical Code: implement complex parts, create reference implementations and help fix critical production issues.

4. Standards & Governance

• Engineering Standards: define API rules, event structure and versioning, and communication patterns.
• Adoption: introduce standards across teams without blocking delivery and measure their adoption.
• Architecture Review: review architecture-level decisions in code: service boundaries, async flows, DB usage and critical paths. The focus is "Will this break in production?", not code style.
• Authority: enforce architectural decisions and block system-level solutions that harm the platform.

5. Support for Teams

• Unblocking: help Team Leads with complex technical problems and resolve system-level issues.
• Collaboration: work closely with the CTO, who owns final cross-system decisions, and with the Core Solution Engineer on turning designs into shared libraries.

Approximate time split: 25-30% design, 25-30% troubleshooting & analysis, 20-25% implementation / fixes, 10-15% discussions, ~10% reviews.

This role does not include: feature delivery, sprint management or people management.

What We Expect From You

• Experience: 7+ years of commercial backend development, with at least 2 years in an architect, principal or staff-level role designing high-load systems.
• System Design: microservices, monolith and modular monolith; service boundaries; API design (contracts, versioning, backward compatibility).
• Distributed Systems: eventual consistency, idempotency, retries / DLQ, outbox and saga patterns; hands-on experience with Kafka and SQS (or RabbitMQ / NATS).
• Databases: relational DB design, indexing, transactions and isolation levels (including money operations), zero-downtime schema changes, replicas, partitioning and sharding.
• Performance & Scaling: caching strategies (Redis, CDN), bottleneck analysis, horizontal scaling and safe profiling in production.
• PHP & Go: deep knowledge of Laravel internals (queues, DI, structure) and practical experience with Go service architecture.
• Infrastructure & Observability: Kubernetes, nginx, load balancing and request flow; logs, metrics and tracing (Sentry, New Relic, Grafana or similar).
• Reliability: designing for failure, fallback strategies and safe deployment strategies (rolling, blue-green, canary).
• DDD: practical understanding of bounded contexts and domain separation.
• Trade-off Thinking: ability to balance complexity vs speed, cost vs performance, flexibility vs simplicity.
• Communication: ability to align multiple teams around technical decisions and explain them to both engineers and business.
• English: B1 (Intermediate) or higher.

It Will Be a Plus

• Domain: experience in iGaming, fintech or payments.
• Multi-tenant SaaS: experience designing platforms for many clients with tenant isolation.
• Analytics: experience with ClickHouse or other analytical databases and OLTP to analytics data pipelines.
• Edge & Cloud: experience with Cloudflare (WAF, CDN, DDoS protection) and AWS architecture.
• Migrations: experience migrating from a monolith to services or introducing event-driven architecture.
• Frontend Architecture: understanding of SPA to SSR migrations and micro frontend trade-offs.
• AI-Assisted Workflow: experience with AI coding tools. We welcome a smart approach to AI to streamline complex tasks, from architectural design to documentation, development, and code refactoring.

What we offer

We believe that a happy team builds the best products. Here is how we support you:

• Remote & Flexible: work from anywhere. Our core hours are 09:00/10:00 to 17:00/18:00 (Kyiv time), Mon-Fri.
• Financial Stability: timely payment for compensation for services.
• Personal Equipment Policy: equipment is provided for use to ensure comfortable and efficient work.
• Knowledge Sharing: we regularly gather to discuss new trends, share insights, and elevate one another.
• Community: at NuxGame, you will work in a team of like-minded people who are ready to support, inspire, and tackle complex challenges together.
• Creative Freedom: we encourage initiative. With us, you have the freedom of professional expression and the space to implement your ideas.
• Time-off Policy: 24 vacation days per year + 5 sick days (without medical confirmation).
• Atmosphere: a friendly environment focused on results and mutual respect, free from unnecessary bureaucracy and pressure.

We are waiting for you on our team!

Our prospect is looking for a Network Architect to help them with leading their design and delivery of secure, scalable network and security solutions for their  clients. This role owns complex project architecture and escalation, strengthens team capability through mentorship, and helps clients maintain reliable, high-performing network environments.

What You’ll Own

• Architect, design, and deploy secure, functional network solutions across switching, routing, wireless, firewalls, NAC, SD-WAN, load balancing, and monitoring environments.
• Lead medium-to-large network and security projects from technical planning through implementation and delivery, including greenfield deployments and migrations.
• Provide expert escalation support for complex networking, firewall, and load balancer issues; investigate root causes and recommend durable resolutions.
• Govern and enforce network and security standards, and review and approve technical designs and documentation.
• Create, oversee, and test security controls, including network access and intrusion-prevention measures and 802.1X implementations.
• Assess network performance, capacity, and scalability; identify risks and recommend improvements to reliability and service quality.
• Mentor network engineering and security team members, provide technical guidance, and support the development of less senior engineers.
• Communicate project status, technical findings, and recommendations clearly to clients, including non-technical stakeholders.
  
   

Requirements

• Required certification: CCIE Enterprise Infrastructure
• 10+ years of experience in senior network engineering, including hands-on network architecture, design, implementation, and administration.
• Demonstrated experience leading medium-to-large networking and security projects.
• Strong knowledge of core infrastructure services: switching (VLANs, STP, LACP, MLAG); routing (static, OSPF, BGP, EIGRP); wireless (802.11a/b/g/n/ac/ax, captive portals, and channel management); DHCP; DNS; 802.1X; LLDP; SNMP; syslog; and ACLs.
• Ability to deploy and maintain firewalls and help keep networks secure, including designing and validating network access and intrusion-prevention controls.
• Proficiency in a general-purpose scripting language such as PowerShell or Python.
• Strong analytical troubleshooting skills, including the ability to isolate where a problem originates, resolve it, and recommend ways to prevent recurrence.
• Ability to provide technical mentorship and escalation support to less senior network engineering and security team members.

Reports to: Principal AI Architect
Department: AI & Advisory
Location: Ukraine – Remote
Term: Full-Time

Atlas Technica is a leading managed services and technology firm serving hedge funds, private equity firms, family offices, and other alternative investment businesses. We design, secure, and operate the technology platforms behind highly regulated firms where confidentiality, availability, and trust are non-negotiable.

Atlas is expanding from traditional managed services into managed intelligence. Our AI & Advisory practice helps clients adopt generative AI, build agentic workflows, and move internal prototypes toward secure production use without losing control of proprietary data, identity, permissions, cost, or compliance.

We are seeking a Senior AI Architect to become the senior architecture leader for Atlas's Ukraine-based AI capability. This person will report directly to the Principal AI Architect and work closely with the Global Head of AI & Advisory.

This is a hands-on architecture and client leadership role. You will lead selected client engagements, guide AI Engineers, and turn uncertain business and technical requirements into secure, practical designs. Over time, you will become the architecture lead for Atlas's offshore AI Center of Excellence, helping establish its standards, delivery methods, technical review practices, and talent model.

You will also be closely involved in designing Atlas's AI lab and test environments with the Principal AI Architect and Global Head of AI & Advisory. You will help determine what Atlas should test, how it should be validated, and when a pattern is ready to be used with clients. You will not own the overall AI lab or the entire AI practice.

This is not a role for someone who only produces diagrams or manages technical teams. The right candidate still reviews code, tests assumptions, troubleshoots integrations, and can step into implementation when the problem demands it.

Requirements:

• Ideally 10 or more years of experience across software, cloud, data, security, solution architecture, or related technical disciplines, including significant experience leading complex architecture decisions
• Hands-on experience designing and delivering production AI, machine learning, data, or agentic systems
• Strong Microsoft Azure architecture experience across application hosting, identity, networking, storage, databases, logging, security, and deployment patterns
• Practical experience with Azure AI Foundry, Azure OpenAI or comparable AI platforms, retrieval-augmented generation, embeddings, vector or hybrid search, and agent orchestration
• Experience designing APIs, data integrations, secure connectors, and Model Context Protocol or comparable tool-integration patterns
• Strong knowledge of Microsoft 365, SharePoint, Microsoft Entra ID, role-based access control, Microsoft Graph, and least-privilege access design
• Working proficiency in Python, with the ability to review implementation code, scripts, infrastructure definitions, technical logs, and other engineering outputs
• Strong experience designing secure systems with appropriate environment separation, identity and access controls, secrets management, audit logging, observability, and human-review safeguards
• Demonstrated ability to evaluate technical risk, distinguish prototypes from production-ready solutions, and make sound architecture decisions based on evidence
• Strong written and spoken English, with the ability to lead technical conversations with senior client executives, portfolio managers, quantitative teams, developers, security leaders, and other technical and nontechnical stakeholders
• Experience mentoring engineers, providing technical direction, and delegating implementation work while maintaining architecture quality and delivery accountability

• Strong client-facing, communication, documentation, problem-solving, and decision-making skills

   

Responsibilities:

• Serve as a senior technical and architecture advisor for selected financial services clients, leading technical discovery, architecture workshops, design reviews, and ongoing working sessions
• Translate client business priorities into practical AI roadmaps, architecture decisions, implementation approaches, and clearly defined technical requirements
• Architect secure AI applications and agentic workflows across Microsoft Azure, Microsoft 365, SharePoint, Microsoft Entra ID, Azure AI Foundry, enterprise data platforms, APIs, and approved AI models
• Define appropriate identity, permissions, data access, networking, secrets management, logging, auditing, human-review, and least-privilege controls for AI solutions
• Evaluate architecture decisions and technical risks across model selection, retrieval, memory, integrations, deployment, security, cost, resilience, maintainability, and production supportability
• Convert validated prototypes and proofs of concept into implementation-ready architecture, scope, assumptions, technical standards, and acceptance criteria
• Provide architecture leadership to AI Engineers by reviewing code, implementation evidence, testing results, deployment plans, and technical documentation while maintaining accountability for overall architecture quality
• Identify and communicate architecture, delivery, security, capacity, vendor, and client-dependency risks early and clearly
• Help establish Atlas Technica’s Ukraine-based AI Center of Excellence, including reference architectures, engineering standards, technical-review practices, reusable patterns, documentation expectations, and mentoring approaches
• Mentor AI Engineers and developing architects while helping create a scalable architecture-and-engineering delivery model across multiple client engagements
• Partner with AI leadership to design and utilize Atlas Technica’s AI lab and validation environments, including test scenarios, evaluation criteria, evidence requirements, and production-readiness gates
• Research, test, and validate new AI platforms, agents, connectors, security controls, and architecture patterns before recommending broader client adoption

Nice to Have:

• Experience supporting hedge funds, private equity firms, asset managers, banks, or other regulated financial institutions
• Experience with Microsoft Purview, Defender for Cloud Apps, Microsoft Intune, data-loss prevention, sensitivity labels, and compliance-focused logging
• Familiarity with Azure Functions, Azure Container Apps, Azure SQL, PostgreSQL, Cosmos DB, Snowflake, Docker, CI/CD, GitHub Actions, and Infrastructure as Code
• Experience evaluating third-party or internally developed AI applications for security, architecture quality, and production readiness
• Experience establishing an architecture practice, technical review board, Center of Excellence, offshore engineering capability, or similar technical governance structure
• Relevant Microsoft, Azure, cloud architecture, AI, security, or related professional certifications
• Ability to communicate complex technical decisions clearly, challenge assumptions constructively, and recommend practical alternatives when proposed approaches introduce unnecessary risk
• Demonstrated commitment to strong documentation, explicit ownership, reliable follow-through, and evidence-based technical decision-making

Atlas Technica is proud to be an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristic.

We’re looking for a Solutions Architect who enjoys working with clients: understanding their challenges, leading technical conversations, and turning early ideas into clear, well-grounded proposals.

This role focuses on presales, consulting, and communication with client leaders and engineering teams. Your engineering background will help you assess feasibility, discuss constraints, and recommend solutions clients can trust.

What you’ll do

• Lead technical presales: run client meetings independently, explore their needs, and help define the problem to solve.
• Advise client CTOs and other decision-makers: discuss how their systems could evolve, explain technical trade-offs, and connect recommendations to business goals.
• Partner with the sales team: prepare technical proposals, initial estimates, and delivery plans, then present and discuss them with clients.
• Help clients identify valuable AI use cases: assess opportunities, limitations, and readiness for adoption.
• Build alignment between clients and delivery teams: agree on expectations, scope, assumptions, and success criteria, and ensure a clear handover to delivery.
• Share your expertise: help sales and project teams become more confident discussing technical topics and AI opportunities.
• Support communication in challenging project situations: help identify the issue, discuss it calmly with the client, and agree on next steps.

What matters to us

• Active listening and curiosity: you listen carefully and ask questions that uncover the needs behind the initial request.
• Adaptability: you get up to speed quickly in unfamiliar business domains and adapt your communication to your audience, from engineers to CEOs.
• Clear and constructive communication: you explain complex ideas clearly, make a strong case for your recommendations, and handle objections constructively.
• Pragmatism: you’re comfortable setting boundaries, pushing back on unrealistic expectations, and offering workable alternatives.
• Value orientation: when evaluating a solution, you consider client value, budget, timelines, risks, and the company’s interests.
• Transparency: you’re transparent about uncertainty and what needs to be validated before making commitments.
• Empathy: we value empathy, clear communication, and the ability to turn discussions into concrete agreements.

Experience that will help you succeed

• Experience in technical consulting, presales, or a client-facing architect or tech lead role.
• Ability to independently lead discovery sessions, present solutions, and discuss recommendations with C-level stakeholders.
• Experience preparing technical proposals, estimates, and architecture reviews.
• Fluent English for client discussions, negotiations, and technical conversations in an international environment. Knowledge of additional European languages (e.g., German, French, Spanish) is a plus.

Technical Background

• Strong seniority: at least 6 years of hands-on software development experience, including at least 2 years in technical leadership or architecture.
• Systems architecture: deep understanding of backend and enterprise systems, with the ability to assess an existing solution, propose a target architecture, and outline a migration plan.
• Prototyping: ability to validate key assumptions with a proof of concept when needed (primary programming language can vary; Python is a plus for AI work and prototyping).
• Practical AI expertise: hands-on understanding of where AI solutions fail, which risks need to be addressed early, and how to account for security, sensitive data, and the constraints of regulated industries.
• Value-driven tech approach: ability to explain when AI will deliver value and what needs to be in place for it to work.

Why this role

• High-impact involvement: an opportunity to apply your engineering expertise to business challenges, join the conversation from the start, influence the choice of solution, and help turn opportunities into viable projects.

• Great fit for consultants at heart: you’ll enjoy this role if client conversations, exploring options, and making the case for a solution interest you as much as architecture itself—and if success means a solution the client understands and the team can deliver.
  
  Why Join ANADEA? 

  🌍 Remote-first & flexible work

• Fully remote working model.
• Access to an office if there is one available in your location.
• Monday–Friday, 40-hour working week.

• Flexible working hours: schedule options between 08:00 and 19:00, including a 1-hour lunch break (the only requirement is a minimum of 5 hours of overlap with the team)

  🏖️ Vacation & sick leave

• 20 paid working days of vacation during the first year.
• 10 paid sick days per year (for childcare would also be covered), compensated at 100% of salary.

• Public holidays are days off by default.

  ❤️ Health & family benefits

• Medical insurance or medical insurance compensation.
• Company gifts for:
  • Birthday
  • Wedding
  • Birth of a child
• Paid lunches at the office.

• Family days etc.

  📑 FOP / Individual Entrepreneur Support if needed
  🔄 Paid Bench period between projects
  🤝 No time-tracking software — transparent and trust-based time reporting.
  🎁 Referral Program
  
  Interested in joining ANADEA?
  Leave your CV here - we’ll be happy to get in touch and tell you more about the opportunity.

About the client and the challenge

Our client is a global leader in passenger information systems — the displays, on-board computers, and real-time data platforms that tell millions of passengers when their bus, tram, or train arrives, in vehicles and terminals across Europe and North America.

Having grown through multiple acquisitions across Europe, the client now operates a mixed landscape: transit fleets running hardware and backend systems from different acquired vendors — some brand new, some deeply legacy. Their strategic goal is to consolidate everything onto one unified cloud platform capable of managing both new and legacy systems, without disrupting vehicles in daily service.

The first engagement is the migration of a legacy real-time transit system to the unified platform: re-implementing industry data protocols (real-time vehicle feeds, timetable imports, on-board device communication) as cloud services. More migration and modernization initiatives of similar shape will follow — this role is designed to lead them.

About the role

We are looking for a Tech Lead / Solutions Architect to become the long-term technical owner of this account at N-iX — not a per-project consultant. Requests from the client are often broad or abstract ("we need to migrate this system") and the concrete scope has to be discovered: investigate the legacy landscape, define what actually needs to be done, shape it into a roadmap and technical backlog, then guide delivery.

This makes the role as much about bridging the business and technical worlds as about architecture itself: you'll translate business intent into technical direction and technical reality back into business language the client's leadership can act on. You will build and hold a holistic, cross-project view of the client's ecosystem — how their platforms, legacy systems, and initiatives interconnect — becoming the ultimate knowledge holder on the N-iX side and the client's trusted technical counterpart. As the current project completes, you will carry that context into the next initiatives and act as the technical driver of the whole account.

Technology landscape: the legacy systems to be migrated are written mostly in C# and C++ (with Java present elsewhere in the client's ecosystem); the target platform is built in Python on Azure, with an MQTT-centric, event-driven architecture. You won't be supporting the legacy code — you'll be reading and dissecting it to migrate it.

Responsibilities:

• Own solution architecture across the account: from ambiguous requests to investigated scope, target architecture, roadmap, and estimated technical backlog
• Lead technical discovery of legacy systems and define migration strategies to the target platform
• Act as the client's primary technical counterpart: workshops, architectural decisions, trade-off discussions with their engineering leadership and domain experts
• Guide the development team day to day: architecture and code reviews, technical standards, unblocking design decisions; hands-on coding when it matters most (PoCs, critical components)
• Own and maintain system documentation: architecture decisions, protocol specifications, and migration knowledge — kept current as delivery reveals gaps, so account knowledge lives in artifacts, not only in heads
• Safeguard the integrity of the overall platform architecture (event-driven, MQTT as the single source of truth, adapter-based integrations) across teams and initiatives
• Identify risks, dependencies, and opportunities across projects; feed them into account planning together with delivery and engagement managers
• Drive AI adoption & strategic application: Proactively identify high-ROI opportunities across the engagement where AI tools can accelerate discovery, reverse-engineering, and delivery;
• Advise client stakeholders and N-iX teams on where, when, and how to deploy AI safely and effectively

Requirements:

• 8+ years in software engineering, 3+ years in a solution architect / tech lead role on complex backend or integration-heavy systems
• Proven experience leading legacy modernization / platform migration programs, including working with codebases you didn't write
• A software engineer's mindset rather than a single-language identity: we're not looking for "a C# engineer" or "a Python engineer," but someone ready to deep-dive into unfamiliar legacy codebases (C#, C++, Java) for migration purposes and design their replacements in the target stack (Python)
• Proven experience as a bridge between business and engineering: comfortable in front of C-level and product stakeholders as much as in a codebase, able to drive decisions on both sides
• Hands-on AI-augmented workflow & advocacy: Proven personal track record of integrating AI tools into your daily engineering practice, with the initiative and credibility to champion AI adoption across development teams, set standards and review guardrails, and mentor engineers on getting the most out of AI assistance.
• Strong architectural background: distributed systems, event-driven design, message brokers (MQTT/Kafka/similar), REST APIs, cloud-native services (Azure preferred)
• Kubernetes/Docker and infrastructure-as-code (the client uses Pulumi); comfort owning deployment without a dedicated DevOps team
• Strong requirements-engineering skills: able to turn vague, abstract client asks into investigated, prioritized, estimable scope
• Excellent client-facing communication; experience as the technical point of contact for a customer account
• Upper-Intermediate+ English level

Nice to have:

• Domain experience with transit/mobility data standards (GTFS/GTFS-RT, SIRI, VDV, TransXChange) or other real-time telemetry/IoT systems
• Experience with embedded or on-board device communication (UDP protocols, constrained devices)
• Experience with performance/load engineering for high-throughput ingestion (thousands of messages/sec)

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

About the client and the challenge

Our client is a global leader in passenger information systems — the displays, on-board computers, and real-time data platforms that tell millions of passengers when their bus, tram, or train arrives, in vehicles and terminals across Europe and North America.

Having grown through multiple acquisitions across Europe, the client now operates a mixed landscape: transit fleets running hardware and backend systems from different acquired vendors — some brand new, some deeply legacy. Their strategic goal is to consolidate everything onto one unified cloud platform capable of managing both new and legacy systems, without disrupting vehicles in daily service.

The first engagement is the migration of a legacy real-time transit system to the unified platform: re-implementing industry data protocols (real-time vehicle feeds, timetable imports, on-board device communication) as cloud services. More migration and modernization initiatives of similar shape will follow — this role is designed to lead them.

About the role

We are looking for a Tech Lead / Solutions Architect to become the long-term technical owner of this account at N-iX — not a per-project consultant. Requests from the client are often broad or abstract ("we need to migrate this system") and the concrete scope has to be discovered: investigate the legacy landscape, define what actually needs to be done, shape it into a roadmap and technical backlog, then guide delivery.

This makes the role as much about bridging the business and technical worlds as about architecture itself: you'll translate business intent into technical direction and technical reality back into business language the client's leadership can act on. You will build and hold a holistic, cross-project view of the client's ecosystem — how their platforms, legacy systems, and initiatives interconnect — becoming the ultimate knowledge holder on the N-iX side and the client's trusted technical counterpart. As the current project completes, you will carry that context into the next initiatives and act as the technical driver of the whole account.

Technology landscape: the legacy systems to be migrated are written mostly in C# and C++ (with Java present elsewhere in the client's ecosystem); the target platform is built in Python on Azure, with an MQTT-centric, event-driven architecture. You won't be supporting the legacy code — you'll be reading and dissecting it to migrate it.

Responsibilities:

• Own solution architecture across the account: from ambiguous requests to investigated scope, target architecture, roadmap, and estimated technical backlog
• Lead technical discovery of legacy systems and define migration strategies to the target platform
• Act as the client's primary technical counterpart: workshops, architectural decisions, trade-off discussions with their engineering leadership and domain experts
• Guide the development team day to day: architecture and code reviews, technical standards, unblocking design decisions; hands-on coding when it matters most (PoCs, critical components)
• Own and maintain system documentation: architecture decisions, protocol specifications, and migration knowledge — kept current as delivery reveals gaps, so account knowledge lives in artifacts, not only in heads
• Safeguard the integrity of the overall platform architecture (event-driven, MQTT as the single source of truth, adapter-based integrations) across teams and initiatives
• Identify risks, dependencies, and opportunities across projects; feed them into account planning together with delivery and engagement managers
• Drive AI adoption & strategic application: Proactively identify high-ROI opportunities across the engagement where AI tools can accelerate discovery, reverse-engineering, and delivery;
• Advise client stakeholders and N-iX teams on where, when, and how to deploy AI safely and effectively

Requirements:

• 8+ years in software engineering, 3+ years in a solution architect / tech lead role on complex backend or integration-heavy systems
• Proven experience leading legacy modernization / platform migration programs, including working with codebases you didn't write
• A software engineer's mindset rather than a single-language identity: we're not looking for "a C# engineer" or "a Python engineer," but someone ready to deep-dive into unfamiliar legacy codebases (C#, C++, Java) for migration purposes and design their replacements in the target stack (Python)
• Proven experience as a bridge between business and engineering: comfortable in front of C-level and product stakeholders as much as in a codebase, able to drive decisions on both sides
• Hands-on AI-augmented workflow & advocacy: Proven personal track record of integrating AI tools into your daily engineering practice, with the initiative and credibility to champion AI adoption across development teams, set standards and review guardrails, and mentor engineers on getting the most out of AI assistance.
• Strong architectural background: distributed systems, event-driven design, message brokers (MQTT/Kafka/similar), REST APIs, cloud-native services (Azure preferred)
• Kubernetes/Docker and infrastructure-as-code (the client uses Pulumi); comfort owning deployment without a dedicated DevOps team
• Strong requirements-engineering skills: able to turn vague, abstract client asks into investigated, prioritized, estimable scope
• Excellent client-facing communication; experience as the technical point of contact for a customer account
• Upper-Intermediate+ English level

Nice to have:

• Domain experience with transit/mobility data standards (GTFS/GTFS-RT, SIRI, VDV, TransXChange) or other real-time telemetry/IoT systems
• Experience with embedded or on-board device communication (UDP protocols, constrained devices)
• Experience with performance/load engineering for high-throughput ingestion (thousands of messages/sec)

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

ABOUT FIRST CRYPTO EXCHANGE LLC

First Crypto is a VARA-licensed OTC broker-dealer in Dubai serving individuals and institutions. We are building our own platform for digital assets and fiat payments: OTC desk, web client and mobile app.
 

JOB OVERVIEW

We are looking for a Financial Platform Architect with extensive integration experience to lead the architecture of FCE’s financial core, including accounting, settlement flows, reconciliation, and integrations with banks, custodians, and liquidity providers.

You will work closely with the CTO and a small, strong engineering team, with a high level of autonomy and direct influence on key architectural decisions.
 

KEY RESPONSIBILITIES

• Own the architecture of the financial core, including account model, double-entry ledger, settlement flows, and reconciliation.
• Develop the core as the system of record and systematically reduce remaining vendor dependencies.
• Hands-on experience with integration processes
• Design guarantees for the correctness of money movements: idempotency, transaction boundaries, and compensation for long-running processes.
• Design the model for segregation of client and proprietary funds and demonstrate that liabilities are covered by assets.
• Architect integrations with banks, custodians, and liquidity providers, including unified vendor contracts, limits, and concentration controls.
• Maintain a registry of permitted asset — counterparty — rail — jurisdiction combinations and rules for introducing new ones.
• Design market conduct controls and regulatory reporting together with Compliance.
• Maintain architectural decisions and technical documentation suitable for external audits and regulators.
• Conduct architecture reviews for changes affecting the movement of funds.
   

QUALIFICATIONS & SKILLS

• Mandatory production experience in fintech, including payments, settlement, custody, banking, or brokerage backends. Candidates without this experience will not be considered.
• Hands-on experience with integration processes
• Practical experience designing and operating a double-entry ledger, including chart of accounts, journal, reservations, adjustments, and reconciliation.
• Strong understanding of settlement mechanics, including payment finality, intraday and daily limits, prefunding, netting, suspense accounts, and discrepancy resolution.
• Practical experience with idempotency, distributed sagas, and compensating transactions, beyond terminology.
• Experience with external audits and regulatory requirements.
• Experience working with systems where financial errors have direct financial and regulatory consequences.
• Ability to write architecture documents that are clear not only to engineers.
• Hands-on coding experience. Daily production development is not required, but validating own architectural decisions in code, building internal tools, and working with AI agents are part of the role. TypeScript/Node is the primary stack; comparable backend experience is acceptable with willingness to work in our stack.
• Experience with AI development tools and understanding of the limitations of AI-generated code.
• Russian — fluent: project discussions, reviews, and team communication are conducted in russian.
• English — C1: required for documentation, external auditors, and vendors.
   

WORKING CONDITIONS & BENEFITS

• Employment: Full-time, permanent contract
• Location: Dubai, UAE (relocation could be considered in 1-2 months of test period)
• Work format: Hybrid, with regular presence in the office. The company provides relocation support to employees.
• Reporting to: CTO
• Team: Small, strong engineering team
• Financial core: Own financial core in active development, with key architectural decisions being made now rather than inherited
• Responsibility: High level of autonomy and influence on architectural decisions
• Compensation: Competitive compensation based on experience
• Vacation: 20 working days per year
• Sick Leave: 10 days per year
• Days Off: 5 days per year
• Public Holidays: 8-10 days per year, depending on the holiday calendar of different countries

ABOUT THE COMPANY

Our client is a technology-driven consumer company transforming fragrance discovery through a digital subscription platform. It also operates a portfolio of innovative fragrance and lifestyle brands focused on quality, individuality, and sustainability.

We are looking for a hands-on Staff Architect to own the platform architecture and drive AI-enabled capabilities across the engineering organization. 

Reporting to the Director of Engineering, you will establish engineering standards, guide cross-team technical decisions, and lead a platform team of two engineers while remaining deeply involved in system design and implementation.

The goal is to help the business scale through technology and AI without proportional growth in engineering headcount.

REQUIREMENTS:

• 8+ years of professional software engineering experience
• 3-4+ years in a Principal, Staff, or Platform Architect role
• Deep hands-on Java expertise, including JVM performance, concurrency, and service design
• Experience with Micronaut or Spring Boot
• Strong knowledge of distributed systems, event-driven architecture, REST/GraphQL APIs, service mesh, and AWS cloud-native patterns
• Hands-on experience designing, evaluating, or building AI-powered systems using modern LLM technologies
• Experience with agent orchestration frameworks, tool integration, retrieval systems, or memory architectures
• Strong understanding of data modelling, asynchronous messaging such as Kafka, and caching strategies at scale
• Experience establishing and enforcing architectural standards across multiple engineering teams
• Ability to combine architectural leadership with writing and reviewing production code
• Strong systems thinking and the ability to clearly explain technical trade-offs
• Excellent written and spoken English
• Ability to work independently and asynchronously within a distributed team
• At least 4 hours of daily overlap with New York working hours
• Experience with Rust, GraalVM, JVM profiling, Kubernetes, Helm, or production EKS environments is a plus
• Experience with ecommerce, subscription platforms, personalization, or high-scale consumer products is a plus

RESPONSIBILITIES:

• Own the company’s platform architecture and AI enablement strategy
• Define service boundaries, integration patterns, data contracts, and shared infrastructure components
• Lead the design of APIs, asynchronous messaging patterns, and foundational platform services
• Identify and implement AI solutions that improve engineering productivity, operational efficiency, customer experience, and business outcomes
• Design AI-augmented workflows, including agent orchestration, tool integration, retrieval, and memory management
• Serve as the primary architectural authority for platform-level technical decisions
• Establish cross-team engineering standards and shape the company’s long-term technical direction
• Lead and mentor a platform team of two engineers
• Set technical direction, conduct reviews, unblock engineers, and support their professional growth
• Remain actively involved in architecture, implementation, code reviews, and technical problem-solving
• Ensure systems are observable, scalable, fault-tolerant, and production-ready

OUR OFFER:

• Fully remote, permanent position 
• Bonus program
• Paid Time Off and Wellness Days Off
• Ownership of a business-critical platform and its AI strategy
• A focused senior team that moves quickly and trusts you to own your domain
• Meaningful influence over how the company’s technology and products evolve
• Smooth knowledge transfer from the current Principal Platform Architect

Summary

• 20+ years of experience in software architecture and technical leadership.
• Expertise in enterprise architecture, distributed systems, microservices, cloud infrastructure, and AI automation.
• Led R&D initiatives and integrated emerging technologies into production.
• Established architecture standards, governance frameworks, and CI/CD practices.
• Developed reusable libraries and tools to improve scalability and code quality.
• Experienced in infrastructure-as-code and highly available cloud-native architectures.

Role Overview

We are looking for a Technical Solution Architect to drive architectural strategy and technical direction across enterprise engineering initiatives.

The role involves contributing to the design and implementation of AI-driven automation solutions aimed at transforming manual decision-making workflows into reliable, scalable, and auditable systems.

Working within a cross-functional engineering environment, the architect collaborates with AI Platform, IT, DevOps, and other technical stakeholders to ensure successful integration of AI capabilities into production environments.

Key Responsibilities

• Architecture Strategy: Define and drive technical architecture strategies aligned with business objectives, ensuring scalability, reliability, and long-term maintainability.
• Architecture Governance: Establish and promote enterprise architecture standards, engineering principles, and governance frameworks across multiple engineering teams.
• AI and Automation Architecture: Lead architectural initiatives focused on replacing manual decision-making processes with AI-assisted systems, ensuring reliability, auditability, and production readiness.
• Technical Leadership: Collaborate with AI Platform, IT, DevOps, and engineering teams to integrate new solutions into existing enterprise environments.
• Technology Evaluation: Research and evaluate emerging technologies, tools, and frameworks, identifying opportunities for their adoption and integration.
• Engineering Excellence: Drive continuous improvement initiatives focused on engineering efficiency, code quality, system scalability, and technical consistency.
• Shared Components and Services: Oversee the development and adoption of reusable internal libraries, common components, and shared services across engineering teams.
• Cloud and Delivery Architecture: Define and standardize deployment patterns, CI/CD practices, and cloud-native operational architectures.
• Infrastructure and Automation: Promote infrastructure-as-code, pipeline automation, and highly available operational architectures.

Technical Environment

• Architecture: Enterprise Architecture, Microservices, Cloud-Native Architecture
• AI and Automation: AI-Assisted Systems, Intelligent Automation, Decision-Making Workflows
• Infrastructure: Infrastructure-as-Code, High-Availability Architectures
• CI/CD: Continuous Integration and Continuous Deployment, Pipeline Automation
• Engineering Practices: Architecture Governance, Engineering Standards, Reusable Libraries and Shared Services

Collaboration

• Cross-functional engineering teams
• AI Platform teams
• IT and DevOps
• Technical and business stakeholders

Job Description

Required Qualifications:

• 7+ years in software engineering, including 3+ proven experience as a Solution Architect or senior technical lead in IoT-related projects.
• Strong understanding of IoT ecosystems including hardware, firmware, connectivity options, and cloud platforms (AWS IoT, Azure IoT, GCP IoT alternatives).
• Hands-on experience with microservices, APIs, messaging systems, and event-driven architectures.
• Familiarity with data ingestion, edge computing, and real-time analytics.
• Solid understanding of security best practices for IoT (device identity, encryption, data protection).
• Proficiency in more than one programming languages (Python, .NET/C#, C/C++, Node.js).
• Experience with containerization and orchestration (Docker, Kubernetes) is a plus.

Nice-to-Have Skills:

• Energy domain knowledge and experience
• Experience with digital twins, device management platforms, or industrial IoT systems.
• Experience in monitoring or responsible AI practices.
• Knowledge of embedded systems or hardware design.
• Certifications (AWS/Azure/GCP Architect) are an advantage.

Job Responsibilities

Key Responsibilities:

• Actively participate in the presale and discovery activities.
• Collaborate with cross-functional teams to translate business needs into architectural requirements, constraints, and quality attributes.
• Design and document distributed IoT solution architectures including devices, connectivity, cloud components, APIs, data pipelines, and integrations.
• Lead technical decision-making and ensure architectural coherence across IoT initiatives.
• Evaluate IoT technologies, frameworks, and standards (e.g., MQTT, DNP3, OPC, Azure/AWS IoT, vector databases, agentic frameworks).
• Define NFRs, ensure high standards of security, reliability, performance, and data governance across workloads.
• Guide development teams through implementation and provide architectural oversight throughout the project lifecycle.
• Produce architecture diagrams, documentation, and technical guidelines.

Department/Project Description

We are looking for an experienced Solution Architect with strong expertise in IoT. You will actively participate in presale activities, discovery phases and design and guide the implementation of end-to-end solutions that combine IoT data and cloud services. You will work closely with engineering teams, product managers, and business stakeholders to build architectures that are scalable, secure, and aligned with business goals.

About the role

Senior Software Engineer (Back End, NY) who will work alongside the Heads of Engineering, Product, and Clinical Operations to design and deliver systems that make recovery more human, accessible, and scalable, while taking ownership and working with autonomy at the intersection of health, technology, and purpose.

Responsibilities

• Architect robust, stable software to deliver essential healthcare to thousands of patients
• Deliver consistently on sprints and projects across backend infrastructure
• Own specifications and tickets with self-sufficiency and independence
• Balance speed and quality, with a focus on tangible results
• Partner closely with clinicians, operations experts, and care providers to find new solutions for product and processes
• Close gaps in specifications and business logic
• Ensure code delivers on the underlying use case
• Report directly to the Head of Engineering and extend their capacity across projects
• Have a humble, growth-oriented mindset with a desire to consistently improve and outperform

Required Skills

• 5+ years of experience building complex backend services for mobile, web, and data services
• 2+ years of technical leadership experience
• Ability to collaborate with the rest of the team and organize your own work
• Previous success building and shipping large-scale web services with a mindset of empathy for the user
• Understanding of computer science and fundamental concepts of software engineering
• Proficient in at least one of: Ruby on Rails, PHP, JavaScript, or other server-side language
• Location & Work Format: Must be currently located in the United States with full authorization to work on a W2 employment basis full-time in the office.
• Language: Professional working proficiency in English (both spoken and written).

Preferred Skills

• Experience working in health tech or at an early-stage startup
• GraphQL and REST web services
• Real-time data streaming
• AWS

Sound like a fit?

Apply now and our recruiting team will get back to you.

Dinarys GmbH is an Ecommerce Development Company helping retailers, brands, and manufacturers across DACH, the UK, and the US build, scale, and optimize digital solutions through custom development, architecture consulting, integrations, and AI-driven innovation.

We’re looking for an SAP Enterprise Architect to align business strategy with IT infrastructure, applications, and data architecture across multiple business units.

In this strategic role, you will define and maintain the enterprise technology roadmap, establish architecture standards, and ensure that IT systems support business objectives, scalability, security, and long-term sustainability. You will act as a bridge between business stakeholders and technical teams, driving architectural consistency, reducing technical debt, and enabling cross-unit collaboration.

Candidate Business Value

The SAP Enterprise Architect will help establish a consistent, scalable, and governed technology ecosystem across business units. By aligning IT architecture with business strategy, reducing technical debt, improving integration, and standardizing technology decisions, this role will support operational efficiency, faster delivery, and long-term business growth.

Responsibilities

• Define, maintain, and enforce enterprise architecture blueprints and technology standards across business units.
• Establish and maintain architecture governance processes, ensuring that IT initiatives comply with internal standards, security requirements, and applicable compliance frameworks.
• Review existing software, infrastructure, and hardware ecosystems to identify legacy systems, redundant tools, and opportunities for modernization.
• Translate business goals and capabilities into technical requirements, data models, platform capabilities, and architecture roadmaps.
• Identify dependencies and integration opportunities across business units to enable reusable platforms and consistent technology solutions.
• Evaluate emerging technologies, including AI and advanced cloud architectures, based on business value, feasibility, and compatibility with the existing ecosystem.
• Review and approve complex solution designs before development to ensure quality, scalability, and alignment with enterprise architecture.
• Define standard API and data integration strategies to improve interoperability and accelerate delivery.
• Identify and reduce technical debt, preventing short-term solutions from compromising long-term system stability and maintainability.
• Collaborate with business leaders, technical teams, and other stakeholders to align technology decisions with strategic objectives.

What We’re Looking For

• Experience in SAP Enterprise Architecture, SAP Solution Architecture, or a similar senior architecture role.
• Strong understanding of enterprise IT architecture across applications, infrastructure, data, and integrations.
• Experience defining architecture blueprints, technology standards, and long-term IT roadmaps.
• Understanding of architecture governance, technical reviews, security standards, and compliance requirements.
• Experience translating business capabilities and strategic goals into technical architecture and implementation requirements.
• Strong knowledge of APIs, system integrations, data architecture, and reusable platform design.
• Experience assessing existing IT ecosystems, identifying technical debt, and planning system modernization.
• Ability to evaluate technologies and architectural approaches based on business value, scalability, and long-term sustainability.
• Strong stakeholder management and communication skills, with the ability to bridge business and technical teams.
• Analytical thinking and a structured approach to complex architectural decisions.

Conditions:

• Part-time starting from February 2027

Hi! We are seeking for a Technical Leader/ Solution Architect responsible for defining and guiding the architecture of a next-generation UK healthcare platform.

What is the role about?

The role combines solution architecture, technical leadership, and AI-native software delivery. You will help evolve an existing AI-driven implementation into a secure, scalable, maintainable, and production-ready platform while preserving the delivery speed enabled by modern agentic development practices.
A key part of the role is shaping the Agentic Development Lifecycle (ADLC): how requirements are captured, AI agents handle implementation, generated solutions are reviewed, testing is performed, and changes are released.
The role is also highly client-facing and requires the ability to clearly explain architectural decisions, trade-offs, risks, effort, and business impact.

How many stages of the interview are there?

• Interview with the Recruiter – up to 30 min.
• Technical Interview  – up to 1 hour;
• Final interview  – up to 1 hour;
  
  Hard skills
• 7+ years of software engineering experience, including technical leadership responsibilities.
• 3+ years in a Solution Architect, Software Architect, Principal Engineer, Staff Engineer, Tech Lead, or similar role.
• Proven experience designing and delivering complex production systems.
• Experience evolving prototypes or early-stage platforms into production-grade solutions.

• Experience working directly with clients and senior technical stakeholders.
   

  Technical Expertise

• Strong understanding of software architecture and distributed systems.
• Experience designing scalable, secure, cloud-native solutions.
• Strong AWS experience.
• Deep knowledge of APIs, integrations, and third-party systems.
• Strong understanding of relational databases, transactional systems, data modelling, and data integrity.
• Understanding of data migration, ETL, and reconciliation approaches.
• Strong knowledge of security, performance, scalability, reliability, and maintainability.
• Ability to evaluate technology choices and architectural trade-offs.
• Practical experience with modern AI-assisted software engineering tools and workflows.
• Ability to critically review AI-generated code and identify architectural, security, scalability, and maintainability risks.

• Experience with AI-native or agentic development approaches.
   

  Leadership & Consulting

• Ability to define technical vision and architectural direction.
• Ability to translate architecture into practical guidance for engineering teams.
• Strong decision-making and problem-solving skills.
• Ability to operate effectively with ambiguity and incomplete requirements.
• Ability to challenge existing solutions constructively and support recommendations with evidence.

• Strong stakeholder management and client-facing communication skills.
   

  Communication

• Upper-Intermediate or higher English proficiency.
  
  
  Responsibilities
   

  Solution Ownership & Technical Governance

• Defining the overall technical strategy and architectural direction.
• Defining engineering patterns and guardrails for AI-assisted development.
• Ensuring AI-generated solutions meet production engineering standards.
• Leading decisions around application architecture, APIs, integrations, databases, AWS infrastructure, authentication, and deployment.
• Evaluating architectural trade-offs based on scalability, security, maintainability, performance, cost, and delivery speed.
• Providing technical guidance to engineers and QA.
• Leading architecture reviews and technical assessments.

• Identifying technical risks and defining mitigation approaches.
   

  The role is accountable for key architectural decisions, including:

• API and integration architecture.
• Data storage and modelling.
• Cloud and infrastructure design.
• Application architecture and codebase organisation.
• Framework and platform selection.
• Authentication and access-control approaches.
• Data migration and reconciliation.

• AI-related architecture and engineering controls.
   

  Engineering Excellence

  The AI-Native Solution Architect helps the team transition from a traditional SDLC towards an AI-native Agentic Development Lifecycle.
   

  Key focus areas include:

• AI-assisted engineering practices.
• Architecture and code quality.
• Secure development.
• Automated and risk-based testing.
• End-to-end and synthetic scenario testing.
• CI/CD and release controls.
• Monitoring and observability.

• Technical documentation and specifications.
   

  Collaboration & Delivery Support

• Works closely with Project Management, Business Analysis, QA, engineering, and client stakeholders.
   

  Responsibilities include:

• Balancing delivery speed, scope, budget, and technical complexity.
• Translating business and clinical needs into technical solutions.
• Establishing a repeatable process for turning requirements into specifications.
• Keeping the team focused on the underlying problem, not recreating legacy functionality.
• Challenging unnecessary complexity and historical requirements.
• Providing technical leadership to the engineering team.

• Communicating technical trade-offs, dependencies, and risks.
   

  Pre-Sales & Solution Design (optional involvement)

• Lead architecture reviews, discovery sessions, and technical workshops.
• Define solution architecture, assumptions, constraints, and non-functional requirements.
• Review technical findings and validate priority and severity.
• Evaluate alternative approaches, including benefits, risks, effort, and cost.
• Support estimation and prioritisation of technical initiatives.
• Present and defend architectural recommendations to the client.

• Research relevant technologies and engineering practices and provide recommendations.
   

  Technology Office Contribution

  The AI-Native Solution Architect contributes to the evolution of AI-native engineering practices across the organisation.
   

  Responsibilities include:

• Sharing lessons learned from implementing ADLC in production.
• Defining reusable AI-native engineering practices and guardrails.
• Evaluating AI tools and approaches for broader organisational use.
• Supporting architecture discussions for strategic initiatives.
• Sharing knowledge through mentoring, workshops, and internal discussions.
  
  Nice to Have
•  Experience in Healthcare, HealthTech, FinTech, or another regulated industry.
•  Experience with UK healthcare or NHS-related systems.
•  Experience with Python, FastAPI.
•  Hands-on experience with AWS Bedrock.
•  Experience with AI/agent frameworks such as LangGraph, vLLM, Ollama, or similar.
•  Experience with large-scale data migration or legacy modernisation.
•  Understanding of clinical safety or medical software regulation.

We are looking for a Solution Architect with deep expertise in AWS and strong hands-on technical capabilities to lead the design and delivery of secure, scalable, and high-performing systems. In this role, you will define AWS-first architecture, provide technical leadership to development teams, and ensure that solutions align with both business objectives and modern technology standards.

You will be responsible for setting the technical direction, overseeing implementation, and driving architectural consistency across projects. You will work closely with engineering teams and engage directly with executive stakeholders, including the CTO and other C-level leaders, to shape technology strategy and guide key architectural decisions.

A cutting-edge internet filtering platform engineered to deliver highly customizable and secure browsing experiences across Windows and Android devices. The solution serves individuals, families, businesses, and communities seeking fine-grained content control and robust online safety. The system comprises multiple integrated components that work together to provide high-quality filtering capabilities while offering exceptional flexibility in configuration. At the core of the platform is a suite of web-based portals that support user management, filtering settings, and administrative controls. These portals are continuously enhanced and extended to ensure a unique, user-centric filtering experience without compromising browsing security or performance.

You Have

• 10+ years of experience in software engineering, including Solution Architecture or Senior AWS Developer roles.
• Strong experience designing large-scale distributed systems, microservices, and event-driven workflows.
• Proven expertise building cloud-native and serverless architectures, ideally on AWS (Lambda, API Gateway, S3, DynamoDB, RDS, IAM, EventBridge, SQS)
• Hands-on development experience with Node.js, preferably in serverless-first environments.
• Understanding of modern front-end ecosystems, especially React/TypeScript.
• Solid grasp of architectural patterns, API design (OAuth2, OpenID Connect), security best practices, and cloud governance.
• Experience with PostgreSQL, stored procedures, JSON-based schemas, and data modeling for modern cloud systems
• Proficiency with DevOps workflows and IaC (Terraform/CDK), CI/CD pipelines, containerization (Docker), and orchestration (ECS preferred over EKS
• High emotional intelligence, adaptability, and ability to operate in a consulting / advisory model.
• Stack-agnostic mindset and ability to work with evolving technologies and adapt architecture decisions as the stack changes over time.
• Ability to challenge assumptions, validate architectures, and justify solution decisions with clarity and evidence
  
   

Would be a plus

• Experience modernizing systems into cloud-native architectures.
• Knowledge of enterprise architecture frameworks (TOGAF or similar)
• Experience working with hybrid environments (.NET + modern cloud/serverless)
• Experience with AI/ML integration and AWS AI services (e.g., Bedrock, Amazon Q

You Are Going To

• Lead the design of modern, cloud-native, and serverless architectures aligned with the client’s long-term technology vision.
• Drive the rewrite and modernization of selected legacy .NET modules into Node.js/React services.
• Ensure solutions follow defined architectural guidelines and comply with the overarching technical strategy.
• Participate in early-stage discovery and translate complex business needs into clear technical strategies.
• Build architectural documentation
• Leverage PostgreSQL capabilities to increase performance and reduce unnecessary service complexity.
• Support the transition to a new architecture while maintaining operational continuity
• Provide technical guidance to engineers and tech leads across backend & frontend domains
• Support the adoption of AWS AI/ML services within the product ecosystem
• Conduct PoCs to validate technical approaches, AI integrations, and cloud-native design patterns
• Collaborate with frontend teams designing SSR-based solutions using React + Next.js
• Ensure scalability, security, observability, and maintainability across all system components
• Work closely with Product, Business, DevOps, and engineering teams to support decision-making and solution delivery
• Engage regularly with stakeholders to communicate architecture choices, risks, and trade-offs
• Support estimation, scoping, and decomposition of new features and rewrite initiatives