Jobs

Our client is the leader in the Early Childhood Education (ECE) sector, providing the most widely used developmental assessment and curriculum system in the US. 

They are early in shaping how AI changes the way they build and operate software. They have active initiatives in AI tooling cost-management and agentic development workflows, but their direction is still forming and will keep evolving as the field does. 

They are not looking for someone to execute a fixed plan, they are looking for an experienced practitioner who can validate the direction we are setting, bring expertise we do not have in-house, stay ahead of what is emerging, and help us adjust and grow as the landscape shifts. This person is hands-on enough to build and prove things directly, and senior enough that we trust their judgment on where to place bets.

What you will do

• Act as a hands-on technical partner across AI engineering initiatives, currently spanning tooling cost management, model routing and selection, and agentic development workflows.
• Pressure-test the approaches they are considering, tell them where they are wrong or where a better path exists, and back it with evidence rather than opinion.
• Bring outside expertise and patterns from how other organizations are solving these problems, so they are not learning everything the expensive way.
• Track what is emerging across models, tooling, frameworks, and techniques, and translate it into concrete recommendations on what they should adopt, defer, or ignore.
• Build and run proofs of concept to validate ideas quickly, then help them decide what to operationalize.
• Help mature their agentic development workflow so engineering teams can adopt it, including model routing and token efficiency.
• Partner with Infrastructure and Security so that what they build fits their architecture and meets their data privacy obligations.
• Help them build internal capability, so the expertise compounds with their team and does not leave when the engagement ends.

Required background

• 5+ years in software, platform, or ML engineering, with recent, direct experience building and operating LLM-backed systems in production.
• Demonstrated breadth across the current AI engineering stack: models and their tradeoffs, inference cost dynamics, gateways and routing, agentic workflows, and the AI coding tool landscape.
• A track record of forming a point of view on fast-moving technical decisions and being right often enough to be trusted with them.
• Strong hands-on engineering ability. This person builds, benchmarks, and ships, not just advises.
• Comfort operating with ambiguity and early-stage direction; able to bring structure rather than wait for it.

• Cloud and infrastructure fluency (AWS preferred, including Bedrock).

   

Strongly preferred

• Experience helping an organization adopt AI-first engineering practices, not just individual tool use.
• Hands-on model evaluation and routing design, and exposure to AI cost governance.
• Experience in regulated data environments. 
• A habit of staying current through real practice (building, writing, contributing) rather than headlines.

What this role is not

• Not a fixed-scope implementation seat. The work will change as their direction evolves, and they want someone who helps drive that change.
• Not a data science or model training role. The focus is applied AI engineering, integration, and enablement.
• Not a manager. Individual contributor, hands-on, with influence earned through expertise. 

Responsibilities:

• Own and support core ML infrastructure (MLflow, CVAT, GPU/CPU cloud instances, internal data tools).
• Assist Data Engineers with deploying and maintaining data pipelines.
• Act as the primary contact for ML and Data teams on infra-related requests.
• Improve reliability and efficiency by adding automation, monitoring, and tooling enhancements.
   

Must have:

• Knowledge of Python, Terraform, Docker, Linux.
• Hands-on experience with cloud environments (Azure prefered).
• Understanding of the end-to-end ML lifecycle (data → training → evaluation → deployment → monitoring).

Nice to have:

• Familiarity with Kubernetes.
• Experience with FFmpeg or GStreamer for video processing and streaming.
• Experience with model serving frameworks and inference formats (ONNX, TensorRT, OpenVINO, NVIDIA Triton).
• Experience deploying computer vision models, especially to edge/embedded devices (NVIDIA Jetson, Intel platforms, Raspberry Pi).

• Надаємо бронювання від мобілізації

You will support the development and maintenance of the client's energy trading landscape. The team is responsible for all changes within the ETRM Allegro system, ranging from small enhancements to large feature implementations, as well as the handling and resolution of L3 incidents.

Must-Have Skills:

• 5+ years of experience in .NET development (C#, .NET Core / .NET 6+)
• Experience with ETRM systems, especially Allegro and/or Horizon
• Strong experience with microservices, APIs, and distributed systems
• Hands-on experience with Azure cloud services and AKS/Kubernetes
• Solid experience with SQL (T-SQL / PL-SQL)
• Experience with CI/CD pipelines, Git, and DevOps practices
• Strong understanding of modern software design principles and unit testing

Nice-to-Have Skills:

• Knowledge of the energy trading lifecycle
• Exposure to Agentic AI and spec-driven development
• Experience with reporting tools and integration patterns
• Strong analytical and problem-solving skills
• Ability to work in a cross-functional, agile environment
• Proactive mindset with a passion for modern engineering practices and continuous improvement
• Good communication skills and the ability to collaborate with business and technical stakeholders

Responsibilities:

• Handle L3 incidents and requests related to supported systems.
• Manage and implement changes and updates within the ETRM Allegro platform, including both small enhancements and larger feature developments.
• Oversee and support various Allegro modules and functionalities.

Tasks:

• Design, develop, and maintain scalable .NET applications using C#, .NET Core 6+, and modern software engineering principles including SOLID, Clean Architecture, and Domain-Driven Design (DDD).
• Build and enhance ETRM solutions (Allegro/Horizon) supporting the full trade lifecycle, including trade capture, scheduling, risk, and settlements.
• Develop and deploy cloud-native applications on Microsoft Azure, including Azure App Services, Functions-as-a-Service (FaaS), and containerized solutions using Docker and Kubernetes.
• Contribute to spec-driven development initiatives and explore Agentic AI / AI-assisted solutions where applicable.
• Create and maintain unit and integration tests to ensure high-quality and maintainable software.
• Collaborate with business stakeholders to translate requirements into technical solutions.
• Troubleshoot, optimize, and support distributed systems and cloud-based applications.
• Develop SQL queries, stored procedures, and reporting solutions.
• Follow DevOps, CI/CD, security, and engineering best practices.
• Participate in code reviews and promote cloud security and DevOps best practices.

Details:
Workload: Full-time
Location: 100% remote
Duration: 4 months (extension possible)
Language: English
Region: Offshore preferred; Nearshore also possible!

Workload: full-time, 40 hours per week
Start: asap but can be discussed
Duration: long-term
Location: any remote, preferably within ±3 hours of CET
English: B2-C1

We are looking for a highly capable AI-First Golang Team Lead Engineer to join a project where they'll build an AI tourism platform. This is not a traditional coding role. We don’t need coders; we need engineers who build features end-to-end using AI coding tools (Claude Code preferably!).

Details !!:
- CRITICAL: 2-3+ years of technical leadership experience leading a team, squad, pod, or similar unit (a hard must). Demonstrable experience of leading delivery within a team: coordinating, breaking work down, representing the team in planning and stakeholder conversations, facilitating outcomes.
- CRITICAL: Senior Golang Developer, 5+ years of experience
- CRITICAL: AI-first delivery: proven, demonstrable experience using Claude Code or similar agentic AI tools is a hard must (specific examples expected on the application).
- CRITICAL: Strong proficiency in English (Upper-intermediate level or Advanced)
- Hands-on engineering position
- Not a people-management role

You must have:
● 2-3+ years of technical leadership experience leading a team, squad, pod or similar unit (a hard must, think team lead or early-stage engineering manager)
● A developer's background (5 years minimum): you have seen production reality with your own hands before moving towards leading people
● A genuinely product-driven mindset: you think about user value and business outcomes before implementation
● Comfort facilitating and coordinating a pod without relying on formal authority
● Willingness and ability to take part in client meetings and act as the external face of your pod
● Excellent spoken and written English for planning sessions, stakeholder updates and client conversations
● Ownership mentality with a strive for elegantly simple, high-quality solutions; you test your own work thoroughly since we have no QA team
● Proven experience using Claude Code; share specific examples
● Solid Golang experience; you'll review AI's code, and you must understand how it works
● Ability to do on-call once in a while to help maintain our platform's reliability & uptime
●  European or African time zones (±3 hours from CET)
● Available full-time (40 hours/week). Must-Have Requirements (Team Lead — no flexibility on any)
● Go (Golang): Real production experience, not just personal projects. No flexibility on other technologies.
● AI/backend engineering: Deep knowledge of building and productionizing complex AI systems — observability, reliability, quality
● Product mindset: Ability to think beyond engineering toward product outcomes
● Leadership: Capable of leading without needing coaching or internal mentoring
● English communication: Very strong, given client-facing responsibilities
● Minimum 5 years of experience across the board
● Candidates should be responsible for testing their own code — QA ownership expected
● The Team Lead will head a small pod (not a traditional manager with direct reports)
● Client-facing responsibilities begin from onboarding, with full client-facing ownership expected to grow over time

Also, they will have on-call duties (now it’s during working hours and weekends, rotation among team members, but later they want to have 24/7 on call, so one person will be on-call for 24 hours (probably) and it will be compensated extra). Desirable skills (would be a benefit): Any special requirements for the person

Nice-to-Have
● German language: A significant bonus but not required — the one criterion the client can flex on

Responsibilities

• Lead and manage a C&B / payroll finance function (20–25 people) across multiple countries and entities;
• Ensure accurate payroll, bonuses, benefits, equity, and tax-related payments across all geographies;
• Build financial reporting and control system for all compensation processes, reporting to CFO;
• Drive automation and optimization of payroll and compensation processes (ERP/1C/Baz, Excel, internal tools);
• Implement and maintain strong internal controls, audits, and compliance across all locations;
• Manage multi-country, multi-format employment structures (B2B, contractors, mixed models);
• Optimize costs, processes, and tax burden across group entities;
• Solve operational and cross-team issues, ensuring structure, transparency, and accountability.

Requirements

• Experience in senior leadership role (Head/Director) with 20+ people in management;
• Strong background in payroll, C&B, financial control, or HR accounting in large structured companies;
• Experience with multi-country operations and complex payroll systems;
• Advanced Excel skills + experience with ERP systems (1C/Baz or similar);
• Proven experience in process automation and optimization of finance/payroll workflows;
• Strong understanding of taxation, payroll compliance, and financial controls;
• Experience working with different employment formats (B2B, contractors, mixed models);
• Strong analytical mindset + ability to build structure in complex, unorganized environments;
• Willingness to work in multi-location setup with Cyprus as key hub (relocation/onsite required for onboarding).

About Us

Smart Capital Center is an end-to-end, AI-powered platform for Commercial Real Estate (CRE) investment and financial management. We power real-time underwriting, asset management, and portfolio analytics through a combination of live data, workflow automation, and AI-driven insights.

Operating at the intersection of Generative AI, finance, and real estate, we are building systems that digitize and simplify complex financial workflows.

Our clients include leading institutions such as JLL, Pacific Life Insurance Company, and KeyBank. We are a lean, high-performance team building category-defining technology in a $17 trillion industry.

To learn more about our platform and vision, please visit our website.

The Role

We are looking for a Backend Software Engineer with strong experience in building scalable systems and a deep interest in AI-powered applications.

This is a high-impact, hands-on role where you will design and build backend services, integrate AI capabilities, and develop intelligent, agent-driven workflows used in real-world production environments.

You will work closely with product, AI, and engineering teams to deliver reliable, high-performance systems and automation features.

What You Will Do

Backend Development

• Design, build, and maintain backend services using Java (Spring Boot) and Python
• Develop scalable APIs and microservices for data-intensive applications
• Optimize system performance, reliability, and scalability
• Design efficient data models and handle complex integrations

AI & Intelligent Systems

• Implement and integrate AI-powered features into core products
• Design and build agent-based workflows for automation and decision-making
• Apply prompt engineering techniques to improve LLM outputs and behavior
• Work with modern AI frameworks to productionize intelligent systems

Cloud & Infrastructure

• Develop and deploy backend systems on AWS (EC2, S3, RDS, Lambda, etc.)
• Build resilient, scalable cloud-native services
• Contribute to system monitoring, logging, and reliability

System Design & Engineering Excellence

• Contribute to architecture, service boundaries, and system design decisions
• Write clean, maintainable, and well-documented code
• Ensure security, performance, and operational stability
• Continuously improve engineering quality and development practices

Collaboration

• Work closely with frontend, product, and AI teams
• Contribute to end-to-end feature delivery
• Participate in Agile development processes

Requirements

• 5+ years of backend software development experience
• Strong experience building and scaling backend systems in production

Core Technical Skills

• Strong experience with Java and Spring Boot
• Solid experience with Python
• Strong knowledge of SQL and database design (PostgreSQL preferred)
• Experience building REST APIs, microservices, and distributed systems
• Hands-on experience with AWS (EC2, S3, RDS, Lambda, etc.)
• Proficiency with Git and modern development workflows

AI & Modern Development Experience

• Experience with prompt engineering for LLM-based systems
• Practical experience building AI agent workflows in production
• Familiarity with frameworks/tools such as:
  • LangGraph
  • LangChain
  • LangSmith
  • or similar ecosystems
• Experience using AI-assisted development tools, such as:
  • Claude Code
  • Codex
  • OpenCode
  • or similar

Nice to Have

• Experience with vector databases or semantic search (e.g., Milvus)
• Knowledge of RAG (Retrieval-Augmented Generation) architectures
• Experience with CI/CD pipelines and DevOps practices
• Familiarity with event-driven architecture

• Experience with data processing pipelines or document AI systems

   

Why Join Us

• Work on cutting-edge AI-powered systems in a $17T industry
• Build real-world applications using LLMs, agents, and automation
• High ownership and autonomy with meaningful technical impact
• Opportunity to influence system design and engineering direction
• Fast-moving, execution-focused team with minimal bureaucracy
• Competitive compensation and flexible work environment

We’re building an AI-driven payments ecosystem and launching our YouTube channel from scratch.
We’re looking for a YouTube Host who will become the voice of our content - leading conversations with clients and industry experts in the payments space.

This is a pure media role focused on content, interviews, and on-camera presence.

What you’ll do

• Launch and develop our YouTube channel from the ground up
• Build relationships with key industry players and secure high-quality interviews
• Host and co-host podcast episodes with a strong on-camera presence
• Lead engaging discussions on crypto, fintech, and the digital economy
• Explore industry trends, use cases, and challenges through clear, insightful conversations
• Ask thoughtful, well-researched questions and keep discussions engaging and easy to follow
• Lead webinar-style sessions around payments and fintech topics
• Create high-quality video content (long-form interviews + clips)
• Represent the company and its podcast channel on camera in a professional and authentic way

• Collaborate with the team on content direction and positioning

   

What we’re looking for

• A strong on-camera personality with a natural, engaging presence
• Strong understanding of social media culture and content formats
• Creative, quick-thinking, and adaptable in fast-moving environments
• Excellent spoken English (near-native or native)
• Experience launching or running a YouTube channel
• Experience hosting interviews, podcasts, webinars, or video content
• Ability to engage senior professionals (C-level, founders, experts) in meaningful conversations
• Solid understanding of fintech/payments (or ability to get up to speed quickly)

• Confident, energetic, and natural communication style

   

Nice to have

• Background in fintech, payments, or crypto
• Personal brand or existing audience

• Experience with live or recorded formats

   

What we offer

• Fully remote, flexible schedule
• No micromanagement - focus on results
• Opportunity to build a media direction from scratch

• Direct impact on how the company is represented publicly

   

If you enjoy talking to people, asking the right questions, and influencing how fintech is seen and understood - let’s talk.

We're looking for a Technical PM who owns delivery of digital banking products built on Trigger Neobank Engine — from pre-sale and scope negotiation to production launch.

You will be the person the client trusts and the person the team follows.

⛔ Please DO NOT apply to this position if you don't know

• What JSON is and how to work with it
• What Swagger is and how to test an API using Postman
• Anything about IT architecture and data types
• How to dive deep into technical topics and find out solutions

We're looking for a problem solver, not a ping-pong player.

We'd prefer working with an open-minded, fast-learning middle-grade specialist rather than a well-seasoned, snail-paced C-level genius.

🤖 AI is mandatory, not a bonus

If you don't use AI in your daily work and can't work with AI agents — please don't write to us.

We expect you to run your project with AI: meeting and call processing, scope and estimate drafting, risk analysis, status reporting, requirement decomposition, client correspondence, documentation, and custom agents for your own routine. A PM who still does all of this by hand is a bottleneck. Candidates without practical AI experience will not be considered.

🚀 Project

Trigger Neobank Engine enables banks, fintechs, and telecoms to launch full digital banking products — onboarding, payments, cards, credit modules, corporate banking — 5x faster and at 10x lower cost. Our clients are banks and telecoms in emerging markets. Projects are technically deep, regulated, and business-critical.

🎯 Requirements

• Own the project from the start or earliest stage
• Be an entrepreneur and act as the customer's agent: build client relations and business insight, propose extra services the customer actually needs
• Take part in pre-sale and up-sale on your account — and help with other pre-sales
• Take an active part in technical negotiations of scope and architecture, and in defining the business terms of contracts
• Work with business stakeholders to define project vision, goals, and product functionality
• Control KPIs (profitability, revenue, utilization) and act to keep them at the best possible level
• Plan, manage, and monitor execution; deliver on time and within budget
• Supervise delivery through active leadership of the team; ensure projects are tailored and delivered according to the best-fit delivery model
• Provide high-quality risk analysis; track, act upon, and communicate risks properly to your customers
• Implement best practices and tools for project execution and management — including AI-based ones

🛠 Required Skills

• At least 5 years of commercial experience in project management
• Real, provable experience using AI tools and AI agents in daily work — mandatory
• Multitasking: proven ability to manage 3+ medium-size projects simultaneously
• Proactive mindset is a must
• Technical skills/knowledge is a must
• Understanding of basic IT architecture principles
• Understanding of how APIs work; ability to use Postman to test APIs
• Profound knowledge of project management processes, methodologies, and tools
• Excellent communication and presentation skills for both customers and engineering teams
• Risk management skills
• Leadership skills
• Excellent negotiation and problem-solving skills
• Advanced understanding of corporate environment and objectives; ability to propose solutions to achieve them
• Intermediate level of English and higher

⭐ Nice to have

• Fintech/banking delivery background: payments, cards, onboarding, KYC, core banking integrations
• Experience with regulated enterprise clients and their procurement/security review processes
• Product-side experience: discovery, roadmap, prioritization, metrics
• Own AI workflows: custom agents, prompt libraries, automated reporting pipelines
• Experience with configuration-driven or platform products (not custom one-off development)

📚 Mindset

• Ownership end-to-end — the client's outcome is your outcome
• AI-first: your leverage comes from tooling, not from working longer hours
• Comfortable being the most technical person in a business meeting and the most business-minded person in a technical one
• Sees risks early and escalates with a proposed solution attached

🎁 Offer

💻 100% remote

💵 Competitive salary in USD

⏰ Flexible schedule

🏦 A world-class fintech platform

🧠 Strong engineering culture and experienced leadership

🌍 Top-tier banks, fintechs and telecoms across emerging markets

🚀 Growth into Solution Architect or Product Owner

Inception-1 creates AI-driven products that help people feel more connected and less alone. Our mission is to build meaningful digital experiences that blend technology with empathy — and to prove that AI can be both human and transformative.

We are looking for a Senior Product Manager / Product Lead to lead our web-based AI companionship products and drive their next stage of growth.

You will be ultimately responsible for achieving LTV and PMF targets — owning product strategy, leading a cross-functional team, and improving retention and monetization through data-driven development and experimentation.

We are evangelists of the Product Engineering culture and aim to maximize the number of roles that deliver value to users end-to-end. This means you will manage and coach a team of Product Engineers who are responsible for the full development chain: from analysis to delivery.

We also expect you to conduct your own deep analytics, be AI-native — experience with vibe coding features would be great — and consider final quantifiable value to be king.

Responsibilities
We only value tangible results — no matter what you do. But we assume that to deliver real profits, you would need to:

• Own product strategy and execution in alignment with company goals.
• Drive monetization through subscriptions and in-app purchases.
• Lead cross-functional collaboration across engineering, marketing, design, and analytics.
• Continuously improve product management processes and coach the team to improve its effectiveness.
• Conduct market and competitor analysis to inform positioning and innovation.
• Implement analytics automation.
• Run A/B, MVT, and Multi-armed tests and implement insights to boost engagement and retention.
   

Requirements

• 4+ years of experience in product management.
• Experience with subscription-based products.
• A strong analytical mindset with the ability to derive insights from data and research. Great knowledge of statistical instruments.
• Excellent leadership and stakeholder management skills.
• Comfortable working in a very fast-paced environment.
• A bias for action, passion for growth, and an ownership mentality.
   

Nice to Have

• Experience in AI companionship, social discovery, or dating products.
• Vibe-coded pet projects / features.
• A background in performance marketing or user acquisition.
   

What we offer

• Flexible work format: you can work remotely or from our comfortable office in Kyiv’s Podil district — whatever works best for you
• Our office has secure shelters and uninterrupted internet, water and electricity. If you choose to work from the office, we’ll take care of the routine: breakfasts, lunches, snacks and fruits, lounges, massages, and other office-life benefits are waiting for you
• Flexible work schedule
• Online services of a corporate doctor, and after the probationary period — health insurance in Ukraine
• 20 working days of paid vacation per year, unlimited sick leave
• All equipment necessary for work
• Compensation for the best courses on the market, corporate online meetups and lectures, a large library, business and management schools for employees

Here are requirements:
Bachelor's degree in Computer Science, Computer Engineering, or a related field.
5+ years of experience throughout the complete embedded software development lifecycle.
Experience with the following technologies is a strong advantage:
Texas Instruments (TI) processor families (CPU and DSP).
Hailo AI accelerators, including the Hailo SDK and toolchain.
Embedded Linux, including kernel, device drivers, and device tree configuration.
DSPs, FPGAs, or other AI acceleration technologies.
RK3588 System-on-Module (SoM) platforms.

Strong proficiency in C/C++ (modern C++ preferred) for embedded software development.
Deep understanding of modern operating systems (Linux and RTOS), networking/IP protocols, and hardware interfaces.
Experience with software configuration management tools (e.g., Git).
Solid experience with low-level debugging tools such as GDB, JTAG, and logic analyzers.
Strong analytical, troubleshooting, and problem-solving skills.

Are you passionate about building reliable, scalable, and highly available production systems? Do you enjoy solving complex engineering challenges through automation, observability, and software engineering?
Optimove is looking for a Senior Site Reliability Engineer (SRE) to join our global SRE organization. In this role, you'll partner with engineering teams globally to improve the reliability, scalability, and operational excellence of our cloud platform.
As a Senior SRE, you'll lead engineering-driven reliability initiatives by building automation, improving deployment processes, advancing observability, and driving operational excellence across our production environment.

Responsibilities
 

• Reliability Engineering – Design and implement solutions that improve the reliability, availability, and scalability of our production platform while proactively identifying and eliminating operational risks.
• Automation & Platform Engineering – Build internal tools and automation that eliminate manual operational work, improve engineering productivity, and streamline production workflows.
• Observability – Improve monitoring, alerting, dashboards, and production visibility while driving initiatives that reduce alert fatigue, improve incident detection, and strengthen operational insights.
• Production Rollouts – Design, improve, and support production deployment processes using modern release strategies such as Canary, Blue/Green, and Feature Flags to ensure safe and reliable releases.
• Production Reliability & Incident Response – Lead the investigation and resolution of critical production incidents, perform root cause analysis, and implement long-term preventive improvements that improve platform resilience and reduce recurring issues.
• On-Call & Operational Excellence – Participate in the team's on-call rotation, ensuring reliable production operations. Respond to critical incidents, collaborate with engineering teams during service disruptions, and drive engineering improvements, automation, and operational best practices that reduce operational toil and prevent future incidents.
• Cloud & Infrastructure – Design, maintain, and improve our Kubernetes-based cloud platform, CI/CD pipelines, and production infrastructure running on GCP and AWS.
• Engineering Partnership – Collaborate closely with Software Engineers, DevOps, DBAs, and Product teams to improve reliability across the software development lifecycle and promote SRE best practices.
   

Requirements
 

• 5+ years of experience in Site Reliability Engineering, Platform Engineering, DevOps, or Infrastructure Engineering.
• Hands-on experience operating Kubernetes in production environments.
• Strong experience working with public cloud platforms (GCP or AWS).
• Strong programming and scripting skills (Python preferred; Go or Bash are a plus).
• Experience designing and building automation and internal engineering tools.
• Experience working with CI/CD pipelines and modern deployment methodologies.
• Hands-on experience with observability platforms such as Datadog, Prometheus, or Grafana.
• Strong understanding of Linux, networking, distributed systems, and cloud-native architectures.
• Excellent troubleshooting, debugging, and root cause analysis skills.
• Strong communication skills and experience collaborating with globally distributed engineering teams.
   

Advantages
 

• Experience with Infrastructure as Code (Terraform, Ansible, etc.).
• Experience with messaging and distributed technologies such as Kafka, Pub/Sub, or Redis.
• Experience supporting modern deployment strategies such as Canary, Blue/Green, or Feature Flags.
• Familiarity with OpenTelemetry and modern observability tooling.
• Understanding of Site Reliability Engineering principles, including SLIs, SLOs, and error budgets.
• Experience working in large-scale SaaS production environments.
• Relevant cloud or Kubernetes certifications (GCP, AWS, CKA, CKAD).
  
  Why Join Us?
  Join a team where Site Reliability Engineering is treated as an engineering discipline—not just an operations function. You'll work on large-scale cloud infrastructure serving enterprise customers while building automation, improving observability, and enabling engineering teams to deliver software safely and reliably.
• You'll collaborate with a global SRE organization using modern cloud-native technologies, Kubernetes, distributed systems, and large-scale SaaS workloads. You'll have the opportunity to lead impactful reliability initiatives, influence engineering best practices, and solve complex production challenges that directly improve the experience of both customers and engineering teams.

About the Role
 

 We are looking for an experienced Database Administrator to help migrate and modernize our PostgreSQL and MySQL database environments, including onto Kubernetes. You will plan and execute database migrations, then manage, maintain, and optimize these databases across multiple clusters ensuring reliability, performance, and availability.
 

Responsibilities
 

- Administer and maintain PostgreSQL and MySQL databases in production and lower environments

- Deploy, manage, and troubleshoot database workloads

- Implement and manage database replication, high availability, and failover strategies

- Plan and execute database migrations

- Monitor database performance, identify bottlenecks, and implement tunning improvements

- Manage backup and recovery procedures

- Maintain database infrastructure as code using Git-based workflows
 

Required Skills & Experience 
 

- PostgreSQL — Strong production experience with administration, performance tuning, and troubleshooting

- MySQL — Strong production experience with administration, performance tuning, and troubleshooting

- Kubernetes — Hands-on experience running stateful database workloads on Kubernetes

- Replication — Experience configuring and managing streaming replication, logical replication, and MySQL replication topologies

- Migrations — Proven track record of planning and executing database migrations (version upgrades, platform migrations, schema migrations)

- Backup & Recovery — Experience with backup strategies, point-in-time recovery, and disaster recovery planning

- Git — Comfortable working with Git for version control, pull requests, and collaborative workflows

- Monitoring — Experience with database monitoring and alerting (Prometheus, Grafana, or similar)

- Linux — Solid understanding of Linux systems administration

 

Preferred Skills & Experience 
 

- CloudNativePG (CNPG) — Experience deploying and managing PostgreSQL using the CNPG operator on Kubernetes

- Percona — Experience with Percona Server for MySQL, Percona XtraBackup, or Percona Kubernetes Operators

- Infrastructure as Code — Familiarity with Helm, ArgoCD, or similar GitOps tooling

- Cloud Platforms — Experience with managed database services or Kubernetes on AWS, GCP, or OCI

- Connection Pooling — Experience with PgBouncer, ProxySQL, or similar

- Security — Understanding of database encryption, access control, and secrets management
 

Are you ready to shape the future of a next-generation iGaming platform?

We are looking for a strategic and execution-oriented Senior Product Manager to lead the evolution of our proprietary Player Account Management (PAM) platform. This is a high-impact leadership role focused on transforming an established product into a best-in-class B2B platform that can compete with leading industry solutions and support our expansion into Tier-1 regulated markets.

As a Senior Product Manager, you will define the long-term product vision, drive platform strategy, and lead a team of product managers responsible for delivering scalable, secure, and market-leading capabilities. You will work closely with Engineering, Architecture, Commercial, Compliance, and Operations to ensure our platform continues to meet the evolving needs of operators while maintaining the highest standards of performance, reliability, and regulatory readiness.

All you need is:

• 7+ years of Product Management experience, including 3+ years in a senior product leadership role;
• Proven experience leading product strategy for B2B platforms within the iGaming industry;
• Deep understanding of Player Account Management (PAM) platforms and their core domains, including Wallet, Payments, CRM, Bonus Engine, Responsible Gaming, Risk & Fraud, KYC, and Back Office;
• Strong knowledge of the competitive landscape and leading B2B platform providers within the iGaming industry;
• Experience building product strategies for regulated markets and supporting Tier-1 operator requirements;
• Proven track record of scaling complex software platforms and leading cross-functional product organisations;
• Strong commercial mindset with the ability to balance customer needs, business goals, and technical constraints;
• Excellent stakeholder management and communication skills with experience influencing executive leadership;
• At least an upper-intermediate level of English.

Your daily adventures will look like:

• Defining and owning the long-term product vision and strategy for our proprietary PAM platform;
• Leading the evolution of the platform into a Tier-1 competitive product, capable of serving enterprise operators across regulated markets;
• Building, mentoring, and developing a high-performing product management organisation;
• Owning the product portfolio, roadmap prioritisation, and investment decisions across multiple product domains;
• Partnering with engineering leadership to deliver scalable, API-first, highly configurable platform capabilities;
• Driving continuous product discovery through customer feedback, market research, competitive analysis, and industry trends;
• Establishing product KPIs and using data-driven insights to measure adoption, customer satisfaction, and business impact;
• Collaborating closely with Commercial, Customer Success, Compliance, and Operations to ensure product-market fit and successful customer delivery;
• Representing product at the executive level, influencing company strategy and aligning product investments with long-term business objectives;
• Championing a product culture focused on innovation, customer value, operational excellence, and continuous improvement.

So, why Gamingtec?

If you are a person with passion, ideas, and a thirst to advance your career, you will love our corporate culture. We are an international team that treats each other with respect and moves towards the same goals. We believe in freedom and flexibility and trust our employees to do their jobs in a way that works for them. We have an ambitious and rewarding work environment, a flat organisational structure and almost zero bureaucracy. Our employees’ ideas are what move the company forward. Everyone has equal opportunities in every aspect of work, learning and development!

Why you will love working here:

• Being a part of an international team, where everyone treats each other with respect and moves towards the same goal;
• Freedom and responsibility. You do not need to be told what to do;
• Competitive salaries. We want only the top performers, so we offer the appropriate remuneration for their experience and knowledge;
• Fully remote work. If you are in one of the areas where one of our offices is located, you will also have the option to go to the office;
• Flexible work schedule. We do not track time, we measure performance;
• Unlimited paid vacation and sick leave days. We believe that everyone should have a good work-life balance and no one should burn out;
• Constant career development & learning opportunities!
• Enjoy the corporate atmosphere with awesome parties and team-building events throughout the year;
• Refer your friends and get rewarded with a bonus after they pass their probation period;
• Find the right private medical insurance that works for you and receive compensation for it. Compensation (full/partial) depends on the cost;
• Flexible Benefits plan. Decide which of your activities/expenses you want the company to compensate you for. For example: gym subscription, language courses, Netflix subscription, a spa day, etc;
• Education foundation for learning something new. Be part of our biannual raffle that gives you the chance to learn something new, unrelated to your job.

And this is how our interview process goes:

• A 30-minute interview with a member of our HR team to get to know you and your experience;
• A technical interview to assess your skills and abilities;
• A final 1.5-hour interview to gauge your fit with our culture and working style.

Sounds interesting? Do not hesitate to apply or contact us if you have any questions! Gamingtec is waiting for you!

Description

The Digital Health organization is technology team which focused on next generation Digital Health capabilities which deliver on the Medicine mission and vision to deliver Insight Driven Care. This role will operate within the Digital Health Applications & Interoperability subgroup of the broader Digital Health team, focused on patient engagement, care coordination, AI, healthcare analytics & interoperability amongst other advanced technologies which enhance our product portfolio with new services, while improving clinical & patient experiences.

The project is a cloud-based PaaS Ecosystem built with a privacy by design centric approach to provide a centralized cloud-based platform to store, classify, and control access to federated datasets in a scalable, secure, and efficient manner.

The ecosystem will allow Customer Operating Units (medical device departments) to store federated data sets of varying sizes and formats and control access to those data sets through Data steward(s). Source data sets can be exposed to qualified use cases and workflows through different project types.

The Healthcare Data Platform ecosystem will provide ML/AI project capabilities for streamlined development processes and a ML/AI workbench to enhance data exploration, wrangling, and model training.

OU’s: Currently, Nuero, Cardio, Diabetes is the OU that HDP data platform is working with, but there could be more OU’s coming up with requirements in future.

GL Role: is to work on the enhancement of current capabilities, including taking over the work that AWS proserve team is doing, and develop new requirements that will keep coming from different OU’s in the future.

Requirements

As a System Engineer within the Company Research & Systems Engineering team, you will have the opportunity to work on cloud-based solutions with a strong focus on AWS, Data Engineering, and scalable data platforms. You will collaborate with cross-functional engineering teams to design, develop, integrate, and maintain reliable cloud-native systems and data workflows.

In this role, you will contribute to building and evolving AWS-based architectures, data processing pipelines, and integrations across distributed systems. You will develop a strong understanding of end-to-end system architecture, data flows, infrastructure, and operational requirements, helping to drive technical implementation and delivery throughout the software development lifecycle.

You will work closely with software engineers, data engineers, architects, and other stakeholders to ensure that solutions are scalable, secure, maintainable, and aligned with both technical and business requirements.

• 3+ years of experience in System Engineering, Software Engineering, Cloud Engineering, Data Engineering, or a related technical role.
• Strong software development experience with Python.
• Hands-on experience designing, developing, or supporting solutions on AWS.
• Experience with data engineering concepts and technologies, including data ingestion, ETL/ELT, transformation, validation, and data processing pipelines.
• Strong SQL skills and experience working with relational and/or NoSQL databases.
• Experience with REST APIs, service integrations, and distributed application architectures.
• Understanding of cloud-native architecture principles and modern software development practices.
• Experience troubleshooting applications and distributed cloud systems and performing root cause analysis.
• Experience with Git and modern CI/CD development workflows.
• Strong analytical and problem-solving skills with the ability to understand complex systems and data flows.
• Ability to work effectively with software, data, cloud, and machine learning engineering teams.
• BA/BS in Computer Science, Software Engineering, Information Technology, or a related technical field, or equivalent practical experience.

Preferred Qualifications

• Experience with AWS data services such as S3, Glue, Athena, EMR, or similar technologies.
• Experience with Amazon SageMaker and machine learning development or deployment workflows.
• Experience with Infrastructure as Code using AWS CloudFormation, Terraform, or AWS CDK.
• Experience with AWS monitoring and observability services such as CloudWatch and CloudTrail.
• Experience working in Agile/Scrum development environments.

Job responsibilities

• Work with engineering and cross-functional stakeholders to gather, analyze, clarify, and document business, functional, and non-functional requirements, translating them into clear system and technical requirements.
• Define system requirements, interfaces, data flows, integration requirements, acceptance criteria, and technical constraints for cloud-based software components, data platforms, and integrations.
• Maintain requirements throughout the development lifecycle, ensuring traceability between business needs, system requirements, technical design, implementation, and validation.
• Identify gaps, dependencies, assumptions, and potential technical risks in requirements and work with stakeholders to resolve them before and during implementation.
• Design and contribute to scalable AWS-based architectures supporting data ingestion, processing, transformation, storage, and distribution.
• Analyze data and system behavior to support architecture, implementation, performance, and product decisions.
• Collaborate with Data Engineering, Software Engineering, Cloud Engineering, DevOps, and Architecture teams to design and integrate end-to-end cloud solutions.
• Support operational monitoring, logging, alerting, and troubleshooting of cloud applications and data processing workflows.
• Contribute to system architecture and technical design discussions, including scalability, reliability, security, performance, and cost considerations.
• Participate in technical and requirements reviews to ensure solutions meet defined requirements, engineering standards, cloud best practices, and established software development processes.
• Support continuous improvement of cloud infrastructure, data pipelines, deployment processes, requirements management, and engineering practices throughout the software development lifecycle.

We are looking for a Senior Full-Stack Engineer to join our client's team on a long-term engagement. The role starts with a full-time engagement for September–October to support a complex migration project, with the possibility of continuing on a part-time basis of approximately 4 development days per month after the migration is completed.

The role is ideal for a highly experienced Full-Stack Engineer who is comfortable working across both frontend and backend technologies and has strong hands-on experience with Shopify, Stripe, Node.js, and Nuxt. The migration project is particularly backend-heavy, so deep expertise with Stripe is a must.

Key Responsibilities:

• Lead and contribute to a complex migration project with a strong focus on Shopify, Stripe, Node.js, and Nuxt
• Develop and maintain full-stack web applications using Nuxt, Node.js, and TypeScript
• Integrate and work extensively with Shopify and Stripe APIs
• Build responsive and reusable UI components using Tailwind CSS
• Design and implement reliable backend integrations and business logic
• Troubleshoot complex technical challenges and independently research effective solutions
• Take ownership of assigned tasks and deliverables throughout the migration
• Collaborate closely with the client's team to understand requirements and deliver high-quality technical solutions
• After the migration phase, continue supporting the client on a part-time basis as needed

Requirements:

• 5+ years of commercial software development experience
• Strong hands-on experience with Node.js, TypeScript, and Nuxt
• Strong experience with Shopify, including Shopify integrations and APIs
• Deep hands-on experience with Stripe is a must
• Solid experience with Tailwind CSS
• Strong understanding of backend development and API integrations
• Ability to work independently and take ownership of complex technical tasks
• Strong problem-solving and analytical skills

• Good command of English, both written and spoken

   

Nice to Have:

• Experience working on complex migrations
• Experience working with Shopify and Stripe in production environments
• Previous experience working in a startup or fast-paced environment

What We Offer:

• Opportunity to work with a well-established global company
• Opportunity to work with a modern Full-Stack technology stack
• High level of ownership and autonomy
• Flexible and remote working environment
• Competitive compensation