Jobs Software Architect

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

Areas of Responsibility

• Conduct a full audit of the company’s technology landscape.
• Develop, approve, and maintain a corporate technology strategy aligned with the company’s business goals.
• Reshape the company’s technology stack and software development processes according to the technology strategy. Define and maintain the target architecture for our key software products.
• Drive deep process automation and the adoption of modern principles for managing enterprise-level and service-level architectures across our software development teams. Take the lead in introducing standardized IT practices.
• Participate in the IT solution decision-making process to provide Enamine management with well-reasoned choices between in-house development, off-the-shelf solutions, and outsourcing. Perform architectural assessments of IT products purchased by the company.
• Manage technical debt as an explicit portfolio: inventory, risk assessment, and a budgeted paydown plan.
• Introduce a unified software development lifecycle and align it with the SSDLC.
• Establish engineering metrics and quality standards and manage regularly against them.
• Encourage technical documentation and knowledge sharing as part of the company’s culture.
• In collaboration with our DevOps and system administration teams, contribute to the implementation of modern CI/CD and infrastructure management practices. Adopt and scale the GitOps approach.
• Participate in establishing SLAs/SLOs for critical services, incident and problem management processes, and postmortems, as well as in scaling observability across processes.
• Together with our Information Security team, embed security into the software development process following Shift security left approach.
• Develop recommendations on the organizational structure and roles of the software development department.
• Together with line managers and the HR team, participate in hiring, performance review, and career development processes.
• Foster an engineering culture: ownership of results, measurability, and knowledge sharing.

Requirements

• 5+ years in technology leadership, including 3+ years at the Enterprise Software Architect / Head of Engineering level.
• Experience building engineering processes or substantially restructuring them.
• Hands-on technical background: systems architecture, software development, integrations, and databases. Deep expertise in technologies and solutions.
• Experience with cloud and/or hybrid infrastructure, CI/CD, IaC, and monitoring.
• Understanding of information security sufficient to embed security practices into development.
• Experience working closely with non-technical stakeholders: ability to translate technical decisions into the language of business risk and economics.
• Excellent communication skills (Ukrainian and English).

What we offer

• Employee reservation (exemption from mobilization)
• Health insurance
• Hybrid work model
• Interesting and challenging tasks
• Convenient office location

DevOps Hands-On Architecture, GCP, GKE, CI/CD, IAAS as a Code, Configuration Management tools, Security and Networking, Linux, Distributed tracing systems
 

Profisea is an Israeli DevOps and Cloud boutique company with a full cycle of services. For more than nine years, we have been implementing best practices of GitOps, DevSecOps, and FinOps, and providing Kubernetes-based infrastructure services to help businesses of all sizes —SMB, SME, or large enterprise clients to stay innovative and effective. 
 

Requirements: 

• 8 years’ experience as a DevOps Engineer and at least 3 year experience in practical development of DevOps Architecture 
• High Proficiency in GCP 
• Proven Experience with GKE 
• Proven Experience with CI/CD tools, IAAS as a Code. 
• Good understanding of infrastructure related components and protocols – Networking, Security, Virtualization 
• Git usage skills and branching strategies understanding 
• English: Upper-intermediate+ 
   

Your Responsibilities: 

• Be a part of international team of experts with a warm and friendly atmosphere 
• Build cloud-based and open-source tools-based DevOps solutions for our highly technological and well-established customers 
• We promise to surprise you with exciting new projects from a variety of industries. 
• All we need from you is your desire to do great things! 
   

What We Offer: 

• Great Salary  
• Flexible working hours 
• Professional certifications support 
• Rewarding working environment and flexible career opportunities 

Description

System Application Architect, you will define, scale, and secure connected-health ecosystem for Cardiac Rhythm Management (CRM). Operating as a senior individual contributor, this role bridges the end-to-end software spectrum – from on-device telemetry and embedded interfaces to streaming cloud infrastructure, big data pipelines, AI/ML enablement, and clinician/patient application platforms.

Beyond core system design, you will serve as the cornerstone of technical thought leadership and governance across the organization. You will establish modern engineering guardrails, lead cross-functional architecture forums, and guide engineering teams through complex implementation cycles. Partnering closely with R&D, Product, Quality, Regulatory, and Security stakeholders, you will drive technology strategy to ensure our software ecosystem is secure, resilient, compliant, and directly aligned with long-term business growth.

Requirements

General expectation

• Knowledge of applicable Cybersecurity and Privacy standards and regulations (HIPAA, GDPR, etc.)
• Knowledge of applicable medical software standards and regulations (FDA guidelines)
• DHF process understanding
• Cloud/AWS, Infrastructure/Terraform/Kubernetes experience
• System Architecture experience
• Communication with cross regional team in US and CEE
• Actively contributing to architectural decisions around Platform, Embedded, Mobile apps, Cloud, APIs, backend services, and data flows, with a strong focus on performance, security, and reliability
• Working closely with engineers to review designs, unblock implementation, and ensure architectural decisions are executed correctly
• Working with short-term MVP and with longer-term architectural improvements
• Contributing to effort estimation, roadmap prep, and the commercial proposal for MVP delivery

Required Qualifications

• Experience: 10+ years of progressive software engineering experience, with at least 4+ years serving in a Principal Architect, Lead Architect, or Systems Architect capacity for large-scale distributed systems.
• Domain Expertise: Proven track record architecting high-reliability, cloud-native platforms within the MedTech, Digital Health, Biotech, or IoT device sectors. Direct experience handling continuous sensor data or streaming telemetry is highly preferred.
• Cloud & Distributed Systems: Expert-level mastery of cloud environments (AWS or Azure), microservices, event-driven architectures, containerization (Docker, Kubernetes), and modern Infrastructure as Code (IaC) / DevOps/SRE practices.
• Data Pipelines & Telemetry: Deep hands-on experience with real-time streaming architectures (e.g., Kafka, Kinesis), time-series databases, relational databases, and enterprise data warehousing.
• Regulatory & Compliance: Hands-on understanding of healthcare data security, privacy standards (HIPAA, GDPR), and medical software design processes (DHF, FDA guidance, IEC 62304).
• Leadership & Communication: Exceptional ability to articulate complex architectural concepts, trade-offs, and risks to both executive stakeholders and engineering teams without direct line authority.
• Interoperability: Deep experience with healthcare data exchange standards (HL7, FHIR) and electronic health record (EHR/EMR) integrations.
• Data Stack & AI/ML: Familiarity with modern data stack tools (e.g., Snowflake, Databricks, BigQuery) and MLOps platforms for model deployment and clinical decision support.

Job responsibilities

Key Responsibilities

1. Technical Thought Leadership & Strategy
Act as the subject matter expert and visionary for data architecture, cloud-native infrastructure, and IoT streaming analytics.
Author technical white papers and design blueprints to drive consensus on long-term engineering strategies.
Stay at the absolute forefront of emerging cloud technologies, evaluate third-party tools, and lead Proof of Concept (PoC) initiatives to constantly improve platform performance and reduce cost.
Evangelize best practices in system scalability, data modeling, time-series data storage, and microservices architecture across the organization.

2. Engineering Team Guidance & Mentorship
Provide hands-on guidance, technical direction, and architectural oversight to cross-functional engineering teams during implementation.
Deconstruct complex architectural visions into actionable technical roadmaps and design patterns that development teams can seamlessly execute.
Conduct rigorous architecture and code reviews to ensure alignment with defined data models, engineering standards, and security postures.
Mentor senior and staff engineers, cultivating a culture of high performance, continuous learning, and robust engineering discipline.

3. Cloud Infrastructure & Platform Architecture
Design and implement high-availability, fault-tolerant, and horizontally scalable cloud architectures capable of handling millions of concurrent streaming device connections.
Define blueprints for microservices infrastructure, serverless computing, and infrastructure-as-code (IaC).
Implement robust business continuity, disaster recovery, and data replication strategies across multiple geographical regions.

4. IoT Telemetry & Big Data Engineering
Architect end-to-end data pipelines for ultra-low latency ingestion of continuous, multi-lead time-series ECG data from portable hardware devices.
Leverage modern streaming technologies (e.g., Apache Kafka, AWS Kinesis, Spark Streaming) to decouple data producers from down-stream storage and analytics engines.
Establish a multi-tiered data storage strategy (Hot/Warm/Cold), defining when to use time-series databases (InfluxDB, TimescaleDB), NoSQL (MongoDB, DynamoDB), and scalable Object Storage/Data Lakes (AWS S3) for long-term historical analysis.

5. Healthcare Interoperability & Analytics Enablement
Harmonize diverse clinical and device datasets into structured healthcare standards, specifically HL7/FHIR (or similar), and customized JSON payloads.
Build foundational data warehouse/data lakehouse infrastructure (Snowflake, Databricks, BigQuery) that enables data scientists to train next-generation AI algorithms for automated arrhythmia detection.
Architect secure APIs (GraphQL/REST) to seamlessly expose telemetry metrics and diagnostic insights to electronic health records (EHR/EMR) systems and web/mobile cardiologist dashboards.

6. Security, Compliance & Data Privacy
Architect the platform to maintain strict compliance with global medical data privacy standards, including HIPAA, GDPR, and HITRUST.
Collaborate with Quality Assurance and Regulatory Affairs (QARA) teams to ensure documentation satisfies FDA Title 21 CFR Part 11, IEC 62304, and ISO 13485 software lifecycle standards.
Implement state-of-the-art security postures including end-to-end encryption (at rest and in transit), robust Identity & Access Management (IAM), and tokenization of Protected Health Information (PHI).

7. Product & Growth orientation
Drive technology strategy aligned with business and product objectives
Define and influence product and platform vision
Identify new opportunities for business and platform growth
Support platform evolution, scalability, and long-term technology direction
Partner with business and product stakeholders to shape strategic initiatives

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.

On behalf of our client, we are looking for a Solution Architect (Blue Yonder WMS) 

Requirements:

- Strong hands-on experience with Blue Yonder (BY) WMS — mandatory

- Experience in WMS implementation and solution design

- Ability to analyze business processes and translate requirements into functional solutions

- Experience with customer workshops, functional specifications, and UAT

- Strong stakeholder management and communication skills

- English - mandatory

- Italian, French, or German - one additional language is mandatory

Responsibilities:

- Lead WMS solution design and implementation

- Configure solutions to meet customer business needs

- Coordinate testing, go-live, and post-go-live support

- Manage project risks and ensure successful delivery

Company offers:

- Long-term employment with possibilities for professional growth

- Fully remote work

- Reasonably flexible schedule

- 15 days of paid vacation

- Regular performance reviews

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!

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.

N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and become part of a team where your ideas make a real impact.

At N-iX CTO Group, we harness the power of technology to drive innovation and deliver exceptional business value. We specialize in designing and executing industry-relevant solutions that redefine standards in enterprise technology. Join a vibrant team committed to driving large-scale transformation across global enterprises.

As a Principal Solutions Architect, you will play a key leadership role in shaping technology direction, guiding cross-functional initiatives, and enabling high-impact delivery. You’ll be responsible for leading complex solution engagements, from discovery and advisory to implementation, while mentoring architecture talent, strengthening practices, and contributing to company-wide strategic growth.

This role is ideal for a seasoned architect with strong consulting capabilities, a track record of hands-on project delivery, and the ability to scale architectural impact across multiple teams and accounts.

Key Responsibilities

Strategic & Leadership Responsibilities:

• Lead architecture visioning and cross-cutting strategic initiatives across a portfolio of enterprise clients.
• Drive practice growth by establishing frameworks, methodologies, and reusable assets for solution delivery and consulting engagements.
• Build and mentor architecture and engineering teams, ensuring capability uplift and technical excellence across accounts.
• Act as a trusted advisor to client C-level executives and technology leaders, helping shape digital strategy and technology roadmaps.
• Govern architecture implementation across the portfolio to ensure alignment with best practices, maintainability, and long-term value.

Delivery & Consulting Responsibilities:

• Lead or guide discovery phases, assessments, technical workshops, and architecture audits.
• Translate complex business and technical requirements into scalable, sustainable architectural solutions.
• Own solution proposals during pre-sales and upsales, including technical vision, high-level design, risk management, and cost estimation.
• Lead project execution, ensuring architecture is delivered according to vision.
• Evaluate and adopt emerging technologies, aligning client needs with forward-thinking architectural approaches.
• Act as a Chief Architect and lead a team with subordinate architects on the complex accounts.

Qualifications:

• 10+ years of relevant experience in software engineering and solution architecture.
• 3+ years in an architecture leadership or principal-level role within the IT service / IT consulting environment.
• Proven ability to lead complex, high-impact consultancy engagements with global enterprise clients.
• Demonstrated experience building solutions from scratch, preferably for large-scale distributed systems (team size 30+, duration 12+ months).
• Deep understanding of cloud-native architecture, with hands-on experience in at least two major cloud platforms (AWS, Azure, GCP).
• Strong background in microservices, APIs, integration patterns, and distributed system design.
• Track record of coaching, mentoring, and team enablement within a matrixed or consulting environment.
• Exceptional stakeholder engagement and communication skills—equally comfortable with engineers and executives.
• Fluent in modern delivery practices: Agile, DevOps, CI/CD, Infrastructure as Code, etc.
• English - Upper-Intermediate or Advanced

Desirable Certifications:

• SEI Software Architecture Professional
• TOGAF or similar enterprise architecture certification
• Cloud certifications (e.g., AWS Solutions Architect Associate/Professional, Azure Solutions Architect Expert)
• Domain-specific expertise in areas such as data platforms, security, or enterprise integration is a plus

About the Role & Team
We are seeking a Forward-Deployed AI Architect to help our enterprise customers radically accelerate and modernize their software delivery lifecycle. In this elite, high-impact role, you will embed directly with customer engineering teams to prove the value of AI-led engineering through hands-on architecture, agentic workflows, and measurable delivery outcomes.
This role is designed for senior architects and builders who sit at the intersection of core enterprise software architecture and cutting-edge AI engineering. You will help customers transition from traditional, ticket-bound Scrum cycles toward intent-driven, increasingly autonomous delivery models where AI tools, agents, and human governance seamlessly turn business intent into production-ready software.


Candidate Profile: Qualifications & Experience
Must-Have Attributes
- Experience: 15+ years of proven experience across software engineering, architecture, product/platform engineering, or solution architecture, backed by a strong track record of product-side delivery.
- SDLC Mastery: Deep, foundational understanding of enterprise software architecture, DevSecOps pipelines, Agile/Scrum frameworks, and the broader product lifecycle.
- Hands-on AI Fluency: Direct, practical fluency with AI development tools, IDE-based AI assistants, agentic workflows, and AI-enabled software delivery. You must possess the ability to build, evaluate, and deeply explain working AI solutions.
- Modern AI Tech Stack: Experience leveraging tools and frameworks such as Claude Code, Cursor, Windsurf, GitHub Copilot, LangChain, AutoGen, LlamaIndex, Semantic Kernel, MCP (Model Context Protocol), RAG, and vector databases.
- Hands on in Retrieval Augmented Generation (RAG), Vector Databases, Evaluation Frameworks, Prompt Engineering, Tool Calling, Function Calling, Multi-agent orchestration, AI Observability

Good-to-Have Skills
- Customer-Facing Excellence: Prior experience in high-touch, customer-facing technical roles (e.g., Forward-Deployed Engineer, Principal Solutions Architect, Field Engineer, or Pre-Sales Engineering Leader).
- AI Governance & Security: A strong grasp of AI governance models, human-in-the-loop controls, responsible AI frameworks, observability, and production readiness for AI-enabled enterprise systems.

Job Responsibilities

Key Responsibilities
1. Client Engagement & Strategic Architecture

- Identify AI Opportunities: Work directly with customer engineering, product, architecture, and executive teams to diagnose SDLC bottlenecks and map out high-value areas for AI-led acceleration.
- Design & Build Proofs of Concept: Act as a hands-on builder to design, develop, and deliver working proofs utilizing modern AI engineering tools, agentic workflows, and automation frameworks.
- Lead the Intent-Driven Transition: Guide clients away from rigid, manual sprint mechanics toward fluid, intent-driven delivery loops capable of autonomously generating plans, code, tests, documentation, and validation artifacts.

2. Value Measurement & Executive Alignment

- Quantify AI Impact: Define, measure, and report on hard engineering acceleration outcomes, including reduced cycle times, faster story-to-code conversion, improved automated testing, and accelerated code reviews.
- Technical & Executive Presentation: Communicate complex technical approaches, agentic architectures, proof results, and long-term adoption strategies to both engineering teams and C-level stakeholders.

N-iX is looking for a Principal Software Architect to join a small team building a new ERP product for public-sector customers in the US. The team uses AI coding agents for a large part of the development work. You'll own the product's architecture, help set up how the team builds with AI, and stay close to the engineering work.

This role is ideal for an architect who uses AI coding agents every day and has designed SaaS products with complex business logic. ERP or finance experience is a plus but not required, as domain experts are part of the team.

Key Responsibilities

• Own the architecture of a new multi-tenant SaaS product, from the first design to production.
• Work with product managers and domain experts to turn business rules into a clear domain model.
• Make the key technical decisions and document them so the team and the client understand the reasons.
• Drive prototypes and reference implementations to test ideas early, and review the team's code.
• Set up how the team works with AI coding agents: coding standards, testing, and code review.
• Design for data accuracy, security, and auditability, which financial software requires.
• Plan integrations with the client's existing products and with third-party systems.
• Present the architecture and progress to the client's product and technical leaders.

Qualifications

• Practical AI proficiency, and this is the part we weigh most. You use AI coding agents every day in real software work, you know their limits, and you've helped a team use them well.
• 10+ years in software development, with 3+ years as an architect.
• Strong experience with .NET and C#.
• Experience designing and running production systems on AWS.
• Experience designing SaaS or enterprise products: distributed systems, multi-tenancy, APIs, and event-driven design.
• Experience with systems where data must always be correct, such as financial, billing, payment, or other calculation-heavy systems.
• Able to learn a new business domain quickly and work closely with domain experts.
• Clear communication, written and spoken. You can explain technical decisions to non-technical people.
• English: Advanced.

Nice to Have

• Readiness to write code yourself when needed, such as prototypes or reference implementations.
• Experience with ERP or accounting systems.
• Products for government or other regulated customers.

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

We build software for healthcare organizations, from early-stage startups to established digital health vendors, providers and payers. We are looking for a hands-on solution architect who joins presale conversations and turns an ambiguous healthcare idea into a credible architecture, a scoped prototype and an estimate that our delivery team can stand behind. In this role, AI innovation and governance go together: every proposal should be fast to prototype and safe to put in front of a regulator, a compliance officer or a hospital security team.

What you will do:

• Join discovery, RFP and technical pitch calls with founders, clinical leaders, operations and IT teams, and explain architecture decisions in plain language.
• Design architectures for EHR/EMR integration, patient data exchange and healthcare workflows such as scheduling, eligibility verification, referrals, prior authorization, claims and revenue cycle management (RCM).
• Build AI-assisted prototypes and demos on sandboxes and synthetic data, and state clearly what is real, what is simulated and what remains for production.
• Define the AI governance approach for each proposal: data handling, model selection, human oversight, validation, monitoring and audit trail.
• Separate a proof of concept from an MVP, choose the single use case that proves feasibility, and defend that choice.
• Produce estimates (phases, stories, assumptions, risks) together with Delivery, and rebuild them when scope changes.
• Review client-supplied architecture documents and AI-generated specs critically, keeping what is sound and challenging what is not.
• Complete customer security questionnaires and due diligence, and prepare HIPAA, SOC 2 and HITRUST evidence for prospects.
• Support partner conversations with integration platforms, clearinghouses and EHR vendors.
• Hand over every won project to Delivery with a clean architecture, documented assumptions and open risks.

Healthcare domain expertise:

• Systems and data: hands-on experience with EHR/EMR platforms (Epic, Cerner/Oracle Health, athenahealth, eClinicalWorks, NextGen or similar), practice management and patient portals.
• Standards: FHIR R4, SMART on FHIR, CDS Hooks, Bulk FHIR, HL7 v2 (ADT, ORM, ORU), C-CDA/CCD, and DICOM basics.
• Administrative and financial flows: X12 270/271 (eligibility), 278 (referrals and prior authorization), 837/835 (claims and remittance), clearinghouses, payer and provider connectivity, denial management and the RCM lifecycle.
• Coding and terminology: ICD-10, CPT/HCPCS, SNOMED CT, LOINC, RxNorm, NPI, and the mapping and normalization problems between them.
• Data governance: PHI and PII handling, minimum necessary access, de-identification (Safe Harbor and Expert Determination), consent management (including 42 CFR Part 2 where relevant), master patient index and patient matching, and audit logging.
• Regulation and policy: HIPAA Privacy, Security and Breach Notification rules, 21st Century Cures Act and information blocking, ONC/ASTP certification (HTI rules), CMS interoperability and prior authorization rules, and TEFCA.
• Quality and value-based care: HEDIS, eCQM, CQL, care gaps, risk adjustment and population health analytics.

AI governance in regulated environments:

• Practical knowledge of frameworks and rules such as NIST AI RMF, ISO/IEC 42001, ONC decision support transparency requirements, FDA guidance on clinical decision support and software as a medical device, and the EU AI Act for clients operating in Europe.
• Experience designing human-in-the-loop controls, escalation to clinical or operational staff, and clear boundaries on what an AI agent may and may not do.
• Ability to handle PHI in LLM workflows: vendor BAAs, data residency, prompt and log redaction, no training on customer data, retention limits and access control.
• Methods for validating and monitoring AI: evaluation sets, hallucination and bias testing, drift monitoring, versioning of models and prompts, and incident response.
• Documentation habits that regulators and buyers expect: model cards, risk assessments, data lineage, decision logs and explainability for non-technical reviewers.

Technical requirements:

• 8+ years in software engineering and solution architecture, including delivery of SaaS and mobile products at scale.
• 3+ years in healthtech integration or digital health product work.
• Cloud-native architecture on AWS, Azure, or GCP using HIPAA-eligible services, with encryption, key management, network isolation, and least-privilege access.
• Integration engines and platforms (Mirth/NextGen Connect, Rhapsody, Redox, Health Gorilla, Medplum, Stedi or similar), including API design, event-driven patterns and reliable message handling.
• Data engineering: ETL/ELT pipelines, SQL and NoSQL, data warehouses, streaming, analytics and BI.
• Security practices: OAuth 2.0 and OIDC, RBAC, secrets management, secure SDLC, threat modeling and penetration test readiness.
• Experience with SOC 2 or HITRUST programs, and with third-party risk questionnaires from health systems and payers.
• Hands-on AI engineering: LLM APIs, agent orchestration, RAG, speech and messaging channels, cost and latency management, and prompt evaluation.
• Rapid prototyping with AI coding tools, and the judgment to know when generated code must be rebuilt from a clean specification.
• Reliability and observability for clinical and operational workflows: monitoring, auditability, disaster recovery and SLAs.
• Mobile and web accessibility awareness (WCAG, Section 508) for patient-facing products.
• Testing strategy for regulated software: validation evidence, traceability and change control.

Nice to have:

• Experience at an EHR vendor, clearinghouse, payer, health system or healthtech startup.
• Voice AI, SMS or omnichannel patient engagement experience.
• Experience with ambient documentation, coding assistance or prior authorization automation.
• Knowledge of medical device software standards (IEC 62304, ISO 14971).
• Public speaking, writing or open-source contributions in healthcare IT.

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.

   

CodeIT Innovation is looking for an experienced Solution Architect with strong hands-on expertise in the AVEVA PI ecosystem.

In this role, you will take ownership of architecture and technical decisions for complex industrial solutions. You will work closely with customers, translate business and technical requirements into scalable architectures, and stay involved in the hands-on implementation of PI-based solutions.
 

What you'll do

• Design end-to-end AVEVA PI System architectures and technical solutions.
• Translate customer requirements into scalable, secure and maintainable solutions.
• Design asset models, data structures, integrations and analytics.
• Work with OT/IT integrations and industrial operational data.
• Lead technical and architectural workshops with customers.
• Challenge requirements and recommend the best technical approach.

• Stay hands-on with implementation, configuration, modelling, troubleshooting and upgrades.

   

What we're looking for

• 4+ years of hands-on experience with the AVEVA PI ecosystem.
• Strong expertise in PI System architecture and solution design.
• Experience with OT/IT integrations.
• Experience with asset modelling, contextualization and analytics.
• Ability to independently drive technical decisions and solution architecture.
• Strong communication skills and experience working directly with customers.
• Fluent English.
   

Nice to have

• AVEVA PI System certifications
• Knowledge of ISA-95 and IEC 62443
• Understanding of OT cybersecurity principles
• Experience in Energy or Power & Utilities industries
• Scandinavian language skills
   

Why join CodeIT Innovation?

• Work with leading industrial companies across the Nordics.
• Solve complex challenges at the intersection of OT and IT.
• High level of autonomy and influence on technical decisions.
• Small, experienced and growing team.
• Remote-first and location-independent setup.

• Opportunity to contribute to the company's technical direction.

   

If you're passionate about industrial data, AVEVA PI and building robust solutions that create real customer impact, we'd love to hear from you.