Jobs

We are looking for an experienced Senior Data Engineer to join a growing Data Engineering and Analytics department. In this role, you will design and develop advanced data solutions for complex customer environments, with a strong focus on Google Cloud Platform and modern GCP data technologies. You will work across the full data lifecycle- from architecture and data modeling to pipeline development, data platforms, analytics, and production deployment.

Key Responsibilities:

• Design and develop scalable data solutions on GCP.
• Lead the technical design and implementation of customer data projects.
• Understand business and technical requirements and translate them into effective data architectures.
• Build and maintain ETL/ELT pipelines, Data Lakes, Lakehouses, and cloud-based Data Warehouses.
• Design data models and integration processes for Batch and real-time workloads.
• Work with structured, semi-structured, and unstructured data.
• Select the appropriate technologies based on performance, scalability, security, and cost requirements.
• Implement data quality, monitoring, governance, and orchestration processes.
• Work closely with Data Architects, Data Engineers, DevOps teams, analysts, and customer stakeholders.
• Participate in the development of analytics, AI, and ML solutions where relevant.
  
  Requirements:
• At least 5 years of professional experience as a Data Engineer – mandatory.
• Proven hands-on experience developing data solutions on GCP – mandatory.
• Experience with data visualization tools such as Looker, Power BI, Tableau, or QuickSight.
• Experience with data modeling, orchestration, performance optimization, and large-scale data processing.
• Strong Python development skills, including building data pipelines and ETL/ELT processes.
• High proficiency in SQL – mandatory.
• Experience designing and developing cloud-based Data Warehouses and Lakehouse solutions.
• Experience with ETL/ELT and transformation tools such as dbt, Dataform, Rivery, or similar platforms.
• Familiarity with CI/CD, Git, Infrastructure as Code, and production deployment practices.
• Strong analytical and problem-solving skills with excellent attention to detail.
• Ability to learn new technologies independently and work across multiple projects.
• Strong experience with several of the following GCP services: BigQuery, Cloud Storage, Dataflow, Dataproc, Cloud Composer, Cloud Run or Cloud Functions
• Fluent English.
  
  Advantages
• Hands-on experience with AWS or Microsoft Azure data services.
• Experience with services such as AWS Glue, Redshift, EMR, Kinesis, Azure Data Factory, Synapse, or Databricks.
• Experience with real-time data processing and streaming architectures.
• Experience with Kafka or other event-driven platforms.
• Knowledge of AI and ML services such as Vertex AI, Gemini, BigQuery ML, SageMaker, Bedrock, or Azure Machine Learning.
• Relevant GCP professional certifications.
• Previous experience working in consulting or customer-facing technology projects.

Our partner is a leading B2B iGaming supplier delivering engaging casino content to regulated markets worldwide. Since 2012, they’ve been building high-quality gaming experiences through a modern cloud-native platform that powers hundreds of operator brands across multiple jurisdictions.

Their Platform Solutions team sits at the heart of that ecosystem, enabling seamless integrations between the company, operators, aggregators and platform providers.

They’re now growing the team and looking for a Senior Integration Manager who thrives on ownership, enjoys solving technical challenges and wants to operate at the intersection of Product, Engineering and partners.

About the Role

This is not a traditional Integration Manager or Project Manager role.

They’re looking for someone who combines strong technical understanding with excellent stakeholder management and genuine ownership.

You’ll own partner integrations from initial technical discovery through to launch and beyond, becoming the primary technical contact for your portfolio of operators and aggregators. You’ll work closely with Product, Engineering and QA while representing the company externally, ensuring integrations are delivered successfully and issues are resolved efficiently.

The role is highly cross-functional and requires someone who is equally comfortable discussing API behaviour with engineers as they are leading technical conversations with partners.

Main Responsibilities

– Own end-to-end technical integrations with operators, aggregators and platform providers.
– Act as the primary technical contact for assigned partners throughout onboarding, launch and
BAU.
– Drive multiple integrations simultaneously while managing priorities and timelines.
– Troubleshoot complex integration issues, working closely with engineering teams to identify
root causes and drive resolution.
– Review API documentation, validate integration requirements and support partners throughout
implementation.
– Coordinate technical testing, certification and go-live activities.
– Work closely with Product, Engineering and QA to ensure successful delivery.
– Improve integration processes, documentation and partner onboarding experience.
– Build trusted relationships with both technical and non-technical stakeholders.

What Success Looks Like
– Successful people in this role:
– Take ownership rather than simply coordinate.
– Investigate issues independently before escalating.
– Build trust with engineers and external partners.
– Communicate technical concepts clearly.
– Drive integrations through to completion.
– Continuously improve processes rather than simply maintaining them.

Mandatory Requirements

– Strong experience in Integration Management, Technical Account Management, Solutions
– Engineering or a similar technical customer-facing role.
– Previous experience within iGaming or another API-heavy B2B SaaS environment.
– Solid understanding of REST APIs, HTTP, JSON, authentication methods and webhooks.
– Good understanding of API testing and troubleshooting methodologies.
– Experience investigating integration issues using logs and monitoring tools.
– Understanding of networking fundamentals including DNS, SSL/TLS and connectivity
troubleshooting.
– Ability to review technical documentation and API specifications.
– Excellent communication skills and confidence working directly with engineers and external
technical teams.
– Strong ownership mindset with the ability to drive work independently.
– Fluent English.

Nice to Have
– Experience with OAuth, JWT or HMAC authentication.
– Exposure to observability tools such as Kibana, Grafana or Datadog.
– Previous software development experience.
– Experience working with cloud-native platforms.
– Leadership or mentoring experience.
– Experience improving integration frameworks, tooling or documentation.

We offer

– Work on a modern cloud-native platform serving regulated markets worldwide.
– Solve technically interesting integration challenges.
– Own your work from discovery through production.
– Collaborate with experienced engineers and product teams.
– Influence how integrations are delivered and continuously improved.
– Remote-first environment with flexible working.
– Competitive salary and quarterly bonus.
– Unlimited annual leave and sick leave.
– Private medical insurance.
– Learning and development budget.
– Genuine opportunities for career growth into technical leadership.

Job Description

Cloud Computing: Proficiency in cloud platforms: Azure; tools: Foundry, OpenAI, PaaS Services, IaaS
ServiceNow Tools: Experience with ServiceNow tools for managing service requests and Incidents

Job Responsibilities

 Model Monitoring & Management: Continuously monitoring model performance, identifying drift, and triggering retraining or recalibration processes.
 Infrastructure Management: Maintaining and scaling the infrastructure required to support AI workloadsб including cloud resources, servers and storage.
 Cost Optimization: Monitoring resource utilization, identifying inefficiencies and optimizing costs associated with AI infrastructure and operations.
 Security & Compliance: Implementing and enforcing data security policies and ensuring compliance with relevant regulations.
 Bias Detection & Mitigation: Analyzing models for bias and implementing techniques to mitigate it. Working with data science teams to ensure fairness and equity.
 Access Control & Permissions: Managing access to AI models, data, and infrastructure.
 Documentation & Reporting: Maintaining comprehensive documentation of AI models, and infrastructure. Generating reports on model performance, data quality and security.
 Collaboration with Data Science: Working closely with data scientists to deploy, monitor and improve models. Providing feedback on model performance and data quality.
 Vendor Management: Evaluating and managing relationships with AI technology vendors.

Your responsibilities will include maintaining the health of our AI systems, resolving technical issues, and ensuring the systems are secure and up-to-date. The ideal candidate is a tech-savvy professional with an in-depth understanding of AI technologies and system administration. The ability to learn quickly and adapt to new technologies is essential.
Ultimately, the AI System Administrator should enhance our AI infrastructure and contribute to building high-quality AI applications that align with our business needs.

Department/Project Description

Artificial intelligence (AI) is rapidly transforming the business landscape. From automating mundane tasks to powering data-driven insights, AI promises increased efficiency, improved decision-making and a competitive edge. However, simply implementing AI tools isn’t enough. To realize the full potential of these technologies, organizations need a dedicated role focused on managing, optimizing and governing their AI deployments: the AI Administrator. This emerging role is quickly becoming essential for businesses of all sizes.
We are seeking a dedicated AI System Administrator to manage and optimize our company’s AI systems and platforms.

About the Role
 

We are looking for a Senior Infrastructure Engineer to join a growing engineering team responsible for building, maintaining, and improving highly available cloud infrastructure supporting large-scale production systems.

This role combines infrastructure engineering, site reliability engineering (SRE), cloud operations, and automation. You will help ensure platform reliability, optimize cloud environments, improve observability, automate operational processes, and collaborate closely with software engineering teams to deliver resilient cloud-native solutions.
 

The ideal candidate is a hands-on infrastructure engineer who enjoys solving complex production challenges, improving system reliability, and building scalable automation.
 

Responsibilities

• Design, build, and maintain scalable, highly available cloud infrastructure.
• Improve reliability, fault tolerance, and performance across distributed systems.
• Lead production incident response, root cause analysis, and post-incident improvements.
• Develop monitoring, alerting, and automated recovery solutions.
• Optimize infrastructure performance and capacity planning.
• Build automation to reduce manual operational effort.
• Collaborate with engineering teams to improve deployment pipelines and platform reliability.
• Contribute to infrastructure-as-code and GitOps practices.
• Support cloud-native applications running in Kubernetes environments.
• Participate in on-call rotations supporting production services.
• Mentor engineers and promote infrastructure best practices.
• Continuously improve operational processes, observability, and system resilience.
   

Required Qualifications

• 7+ years of experience in Infrastructure Engineering, Site Reliability Engineering (SRE), or DevOps.
• Strong experience with AWS cloud services.
• Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, or similar).
• Experience supporting production Kubernetes environments.
• Strong Linux administration skills.
• Experience with Docker and containerized workloads.
• Familiarity with CI/CD pipelines and deployment automation.
• Experience working with cloud-native distributed systems.
• Knowledge of monitoring and observability tools such as Prometheus, Grafana, or OpenTelemetry.
• Programming or scripting experience with Python, Go, Bash, or similar languages.
• Solid understanding of networking, security, authentication, APIs, and load balancing.
• Experience with incident management and disaster recovery practices.
• Strong communication, collaboration, and problem-solving skills.

Nice to Have

• Experience with Kafka or other messaging platforms.
• Experience with GitOps workflows.
• Knowledge of API Gateway technologies.
• Experience with Java and Spring Framework.
• Strong database administration or performance tuning experience.
• Experience mentoring engineers and leading infrastructure initiatives.
   

Benefits

• A competitive salary and flexible compensation package
• Professional development tools (mentorship program, tech talks and trainings)
• Medical insurance
• Free corporate English classes and speaking clubs with a native speaker

RedCore is an international business group that creates technological solutions for digital markets. Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies. 

We are looking for a Software Architect (C#/.NET)!

Requirements:

- Strong experience as a Software Architect, Principal Engineer, Staff Engineer, or similar senior technical role
- Strong backend architecture experience with C#/.NET
- Experience with JavaScript or TypeScript-based frontend or game client integration
- Deep understanding of distributed systems, API design, event-driven architecture, high-throughput services, and transactional consistency
- Experience designing systems that process financial or wallet-related transactions, including debit, credit, rollback, retries, idempotency, reconciliation, and auditability
- Experience with relational databases such as PostgreSQL, Microsoft SQL Server, or similar
- Experience with caching, queues, message brokers, or streaming technologies such as Redis, RabbitMQ, Kafka, Azure Service Bus, or similar
- Strong knowledge of security, authentication, authorization, encryption, secrets management, and secure API design
- Experience with observability practices, including structured logging, metrics, tracing, alerting, dashboards, and incident investigation
- Experience defining architecture standards, technical documentation, reference implementations, and development guidelines
- Ability to work hands-on with engineering teams, review code, challenge technical decisions, and guide implementation

Will be a plus:

- Practical experience in the iGaming, online casino, gambling platform, game provider, RGS, fintech, payments, or other regulated transactional domain
- Experience with Remote Game Server architecture
- Experience with GLI-19, GLI-11, GLI-33, or similar iGaming certification standards
- Experience working with certification labs, regulated releases, compliance documentation, or jurisdiction-specific requirements
- Knowledge of RNG systems, game math integration, RTP validation, volatility, game simulations, and outcome auditability
- Experience designing provider adapter frameworks, operator integrations, aggregator integrations, or wallet integration platforms.
- Experience with real-time systems such as WebSocket, SignalR, or similar technologies
- Experience with cloud platforms such as AWS, Azure, or GCP
- Experience with Kubernetes, Docker, infrastructure as code, and modern CI/CD pipelines
- Experience creating tooling for simulations, certification evidence export, replay, reconciliation, or automated compliance checks
 

Responsibilities:

- Define the target architecture for iGaming game backend services, game frontend integration, provider integrations, remote game server capabilities, and certification-related tooling
- Design reusable architectural patterns for game lifecycle management, round state, bet placement, settlement, cancellation, rollback, reconciliation, audit logging, and player dispute investigation
- Establish technical standards for building crash games, slots, multipliers, mini-games, and other iGaming products
- Guide the architecture of wallet integrations, provider APIs, operator integrations, game launch flows, session management, authentication, transaction processing, idempotency, retry logic, and reconciliation
- Create scalable integration patterns that reduce one-off custom development and enable repeatable onboarding of new providers, operators, and jurisdictions
- Work closely with game developers, backend engineers, frontend engineers, QA, DevOps, product managers, compliance teams, security teams, and external certification stakeholders
- Ensure that game and platform architecture supports certification requirements such as GLI-19 and other applicable regulatory or laboratory standards
- Define technical approaches for RNG integration, game outcome traceability, round replay, RTP reporting, math model validation, build traceability, and evidence collection
- Review solution designs and critical code paths for correctness, scalability, auditability, security, and maintainability
- Create reference implementations, technical guidelines, architecture decision records, integration templates, and engineering standards
- Support CI/CD, release governance, versioning, environment management, and certification-friendly deployment processes
- Improve observability across the platform, including logs, metrics, traces, audit events, transaction monitoring, reconciliation dashboards, and alerting
- Identify architectural risks, technical debt, compliance gaps, and scalability bottlenecks, and propose practical remediation plans
- Mentor engineers and technical leads, raising the overall architectural maturity of the teams

Candidate Profile
We are looking for a pragmatic technical leader who can combine architectural vision with hands-on engineering reality. The right person is comfortable designing complex systems, reviewing implementation details, working with regulated requirements, and helping teams make practical technical decisions

Our benefits to you:
🍀 An exciting and challenging job in a fast-growing business group, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance, and more
🤝🏻 Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed
🧑🏻‍💻 Modern corporate equipment based on macOS or Windows, and additional equipment is provided
🏖️ Paid vacations, sick leave, personal event days, days off
💵 Referral program — enjoy cooperation with your colleagues and get a bonus
📚 Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences
🎯 Rewards program for mentoring and coaching colleagues
✈️ In-house Travel Service
🦄 Multiple internal activities: online platform for employees with quests, gamification, presents and news, clubs for movie/book/pets lovers, and more
🎳 Other benefits could be added based on your location

About the Role

Our client is looking for a senior design technology leader who has successfully built and implemented AI-first design and development workflows in a real production environment.

This is not a traditional Head of Design role, nor is the client looking for someone whose AI experience is limited to experimenting with new tools or improving individual designer productivity.

The core challenge is much more ambitious: redesigning how product design and development work together so that teams can move dramatically faster from idea → prototype → validated design → production-ready implementation.

The client has already explored different AI-assisted design approaches and tools. What they need now is someone who has gone beyond experimentation and has actually built systems, workflows, and operating models that work end to end.

You should be equally comfortable discussing design systems, product design workflows, frontend architecture, AI-assisted development, prototyping, and organizational change.

Your mission will be to help the client build an AI-native design organization where AI is embedded into the way products are designed and shipped, not simply added as another productivity tool.

What You'll Do

• Define and implement an AI-first design and development workflow across the client's product teams.
• Dramatically shorten the path from product idea to prototype, validated design, developer-ready implementation, and where appropriate, production-ready code.
• Build workflows that connect design tools, AI systems, design systems, component libraries, and real application code.
• Establish practical approaches for AI-assisted ideation, prototyping, UX exploration, UI generation, design-to-code, iteration, and implementation.
• Design systems and processes that allow designers and engineers to collaborate effectively in an AI-native environment.
• Evaluate and integrate emerging AI design and development tools based on production value rather than hype.
• Partner closely with design, product, and engineering leaders to identify bottlenecks and redesign how teams work.
• Help establish or evolve design systems that can be reliably translated into real product components.
• Create standards and guardrails that allow teams to move faster without sacrificing product quality, consistency, or maintainability.
• Coach designers and engineers on AI-native workflows and help drive adoption across teams.
• Measure the impact of these workflows on design and development speed, iteration cycles, and product delivery.

What the Client Is Looking For

• Proven experience building and implementing AI-first design and development workflows in a real production environment.
• Strong understanding of modern product design workflows and how design connects to engineering.
• Hands-on experience integrating AI tools into workflows spanning ideation, prototyping, design, and software development.
• Strong understanding of design systems, component libraries, and the relationship between design artifacts and production code.
• Enough technical depth to work directly with frontend engineers and understand how design systems are implemented in real applications.
• Experience turning experimental AI workflows into repeatable systems that other designers and engineers can actually use.
• Strong product and systems thinking: you think beyond individual tools and optimize the entire product development workflow.
• Ability to distinguish genuinely useful AI capabilities from demos, prototypes, and hype.
• Experience driving meaningful workflow or organizational change across design and engineering teams.
• Strong written and spoken English.

What the Client Will Care About Most

The client will be particularly interested in concrete examples of systems you have already built.

For example:

• What did the design and development workflow look like before you changed it?
• What AI tools, infrastructure, design systems, or internal tooling did you introduce?
• How did design artifacts connect to real application code?
• How broadly was the workflow adopted by designers and engineers?
• What parts reached production?
• What measurable impact did it have on iteration speed or time from idea to production?

A compelling demo is useful. A workflow that a real team has successfully used to ship production software is much more important.

Nice to Have

• Strong frontend engineering background.
• Experience as a Design Engineer, Design Technologist, Product Engineer, or similar hybrid design/engineering role.
• Experience building internal AI tools, agents, plugins, or automation for designers and developers.
• Experience with modern AI coding and prototyping tools.
• Experience building token-based or code-connected design systems.
• Experience scaling design systems across multiple products or engineering teams.
• Experience leading or building AI-native product, design, or engineering teams.

What Success Looks Like

Within this role, success means changing how the client's teams actually build products.

Designers should be able to explore and validate ideas faster. Engineers should receive higher-quality, more implementation-ready outputs. Design systems should connect more reliably to production code. Repetitive handoffs and manual work should decrease significantly.

Most importantly, AI-assisted workflows should become a real, repeatable part of how the organization ships software, not a collection of isolated experiments.

The result should be a measurable reduction in the time required to move from an idea to a high-quality product experience in production.

About Sine Engineering

Sine Engineering develops the technology behind reliable drone autonomy, providing communication, navigation, and control systems that enable coordinated multi-drone operations at scale.

More than 200 UAV manufacturers worldwide rely on our solutions, and our technology powers many of today's active interceptor systems.

Through our dual-use platform, we support both civilian innovation and the technological advancement of democratic nations. Our products have been extensively tested and proven in real-world combat conditions in Ukraine.

Any drone. Any scale. Anywhere.
Resilient communication, navigation, and coordination technology built for the age of autonomy.
 

About the Role

We are looking for a hands-on Sales Team Lead to build, develop, and scale our commercial organization. This role combines people leadership, sales execution, coaching, and operational excellence.

You will be responsible for hiring and developing high-performing sales talent, establishing sales processes and forecasting discipline, supporting strategic customer engagements, and ensuring the team consistently achieves commercial objectives across international markets.
 

Responsibilities

Hiring

• Translate market coverage needs into hiring plans and appropriate sourcing strategies.
• Define candidate profiles and assessment criteria aligned with different sales motions.
• Assess candidates' commercial judgment, sales capability, leadership potential, and technical curiosity.
• Own onboarding processes, probation objectives, and probation evaluations.

Sales Leadership

• Set individual targets, account ownership, and opportunity strategies.
• Lead pipeline reviews, focusing on qualification quality, customer commitments, and execution plans.
• Support strategic customer meetings, commercial negotiations, and complex deal cycles.
• Coordinate Sales Engineering involvement in evaluations, demonstrations, and integration activities.
• Establish CRM, reporting, and forecasting standards in collaboration with Sales Operations.
• Define and maintain effective collaboration models with Account Management.
• Ensure accurate, evidence-based forecasting with clear ownership across regional and global teams.
• Identify and address performance gaps through coaching and performance management.
• Provide functional sales leadership to market-based teams in a matrix organization, starting with Germany.

Mentorship & Team Development

• Conduct regular one-on-one meetings and maintain individual development plans.
• Coach team members on discovery, qualification, stakeholder mapping, value-based selling, negotiation, and closing.
• Participate in customer engagements and provide actionable feedback.
• Build the technical knowledge required for effective customer conversations.
• Analyze won, lost, and stalled opportunities to improve sales methodology and qualification criteria.
• Gradually increase team members' autonomy and ownership as capabilities grow.
   

Requirements

Must-Have

• 5+ years of experience in B2B sales, business development, or account management, with a proven track record of selling complex technical solutions.
• 2+ years of experience leading and developing sales teams, including hiring, onboarding, and performance management.
• Demonstrated success in improving team performance and enabling sales professionals to achieve stronger results.
• Experience providing direct feedback, addressing underperformance, and driving accountability.
• Experience working with both Ukrainian and international customers.
• Strong understanding of enterprise sales processes, customer buying journeys, and stakeholder management.
• Experience in CRM-driven sales environments with accurate pipeline management and forecasting.
• English at C1 level or above and professional working proficiency in Ukrainian.

To Be Developed During Onboarding

• Deep understanding of Sine Engineering's products, technologies, and market positioning.
• Sales process, forecasting, and pipeline discipline tailored to Sine's commercial model.
• Account Management collaboration framework and customer handover processes.
• Matrix leadership within international teams.
• Development and continuous improvement of onboarding and coaching programs.
   

Nice to Have

• Experience in defense, UAV, aerospace, electronics, robotics, telecommunications, or related technology sectors.
• Experience selling hardware and integrated solutions that require testing, validation, and customer integration.
• Experience hiring and managing teams across multiple countries.
• Knowledge of German or broader European defense and aerospace markets.
• Understanding of radio communications, electronic warfare, navigation systems, or UAV architectures.
• Relevant sales, leadership, or project/program management certifications.
   

Why Join Us?

At Sine Engineering, you'll help shape the future of autonomous systems and work with technology that delivers real-world impact.

This is an opportunity to join a fast-growing company operating at the intersection of autonomy, communications, defense, and advanced engineering. You'll have the autonomy to build teams, influence strategy, and drive commercial growth while working alongside experts solving some of the most challenging problems in modern drone operations.

If you're excited about building high-performing teams and scaling the commercial success of cutting-edge technology, we'd love to hear from you.

About Flamingo

Flamingo is revolutionizing the Managed Service Provider (MSP) industry with an AI-driven, open-source platform for IT and security. Our goal is to empower MSPs with automation, optimization, and scalability tools to enhance their operations.

Role Overview
This role focuses on building a SaaS product with additional support for local installations. You'll own the design and implementation of cloud infrastructure from the early stages, setting the foundation for how the platform operates.

The product is fully Kubernetes-based - a multi-tenant fleet of private GKE clusters on GCP, provisioned with Terraform and reconciled by ArgoCD from our own Helm charts. Strong expertise in cluster management, automation, and container orchestration is essential. The system is high-load, so reliability is the top priority. You'll also contribute to our open-source product.

Key Responsibilities
Design and maintain GCP infrastructure (compute, storage, networking, IAM, KMS, managed databases) using Terraform

• Operate a growing fleet of private GKE clusters: administration, upgrades, capacity planning, Gateway API, custom Helm charts
• Build CI/CD pipelines with GitHub Actions and ArgoCD following GitOps practices, including ephemeral per-PR environments
• Implement monitoring, logging, and alerting with Mimir, Loki, Alloy, and Grafana - dashboards and alerts as code
• Design and secure cloud networking: VPC architecture, load balancers, Cloud Armor WAF, TLS automation, NetworkPolicies
• Operate the stateful layer with engineering teams: MongoDB, Kafka, Cassandra, Pinot, Redis, NATS, Cloud SQL - sizing, upgrades, backups, disaster recovery

• Collaborate with engineering teams on deployment strategies and reliability
   

  Qualifications
  Must-Have

• Kubernetes - strong expertise in cluster administration, workload orchestration, and GitOps practices; ability to write and maintain custom Helm Charts
• Terraform - proven experience managing infrastructure as code and operating multi-environment estates on GCP
• Cloud platforms - solid knowledge of GCP core services, including compute, storage, and managed databases; equivalent AWS depth is fine if you are ready to work GCP-first
• Cloud networking - experience with VPCs, subnets, routing, firewalls, and load balancers, ensuring secure and reliable connectivity
• Infrastructure security - practical experience with IAM, workload identity, secrets management, TLS, encryption (KMS/CMEK), and policy enforcement in production environments
• CI/CD workflows - experience building and maintaining pipelines with GitHub Actions/GitLab CI and ArgoCD/FluxCD
• Databases and messaging - operational knowledge of MongoDB, MySQL/Postgres, Redis, and streaming platforms such as Kafka; comfortable running stateful workloads on Kubernetes
• Observability - hands-on use of Prometheus, Grafana, Loki, and similar tools for monitoring, alerting, and tracing
  
  Nice-to-Have
• Multi-tenant SaaS platform experience: namespace- or cluster-per-tenant models and tenant provisioning automation
• OpenTelemetry and distributed tracing, SLOs, and incident response practice
• Supply-chain and compliance work: cosign/SBOMs, image scanning, SOC 2 or ISO 27001
• Experience with serverless architectures and event-driven systems, such as AWS Lambda, Cloud Functions, or Pub/Sub triggers
• Experience contributing to or maintaining open-source products
• Relevant certifications would be a plus

Why Join Flamingo?

• High-impact role: Make a direct impact on the stability and scalability of our AI-driven platform.
• Innovative Tech Stack: Work with cutting-edge AI, security, and cloud technologies.
• Remote-first Culture: Flexibility to work from anywhere while collaborating with a top-tier team.
• Mission-Driven Company: Join a team passionate about disrupting the MSP industry and making enterprise-grade security and IT automation accessible to all.

Your responsibilities
Development

• Own the electronics architecture of the device: processor platform, power supply, sensing, actuation, display, connectivity.
• Circuit design and PCB layout, from concept through to release
• Analogue measurement chains for pressure, temperature and flow sensing — low noise, low drift, calibratable.
• Drive electronics for pumps, valves, heating and cooling elements, including the power stages.
• Build, bring-up and characterisation of prototypes.
• Safety and evidence.
• Electrical safety concept under IEC 60601-1: insulation coordination, creepage and clearance distances, protective earth, single-fault safety.
• EMC-compliant design under IEC 60601-1-2, pre-compliance measurements and support through certification testing.
• Design of an independent hardware protection layer: watchdog, interlocks, pressure and temperature limiting.
• Contribute to risk management under ISO 14971; derive and verify hardware risk control measures.

• Design verification: test planning, execution and documentation as part of the technical file

   

Production readiness

• Design for reprocessing: connectors, sealing concepts and resistance to cleaning and disinfecting agents across the specified service life.
• Design for manufacturing and test: test strategy, production programming, test fixtures.
• Component qualification, second sources, long-term availability and obsolescence management.
• Work with EMS providers, prototype builds and production ramp-up
   

Collaboration

• Work closely with embedded software: platform decisions are made together, not one after the other.
• Interface with mechanical engineering, systems engineering, regulatory affairs and manufacturin.

Required

• Several years in electronics development for complex embedded devices, from schematic to finished layout (7+ as a guide).
• IEC 60601-1 or an equivalent product safety standard (e.g. IEC 61010) — insulation concepts, creepage and clearance, single fault analysis are routine for you, not new ground.
• Solid practice in analogue measurement: sensor front-ends, ADC interfacing, noise, offset and drift, calibration concepts.
• EMC-compliant design in practice — including the experience of analysing and fixing a failed EMC test.
• Confident with a professional EDA tool (Altium, KiCad, Cadence or comparable).
• Lab measurement skills: oscilloscope, spectrum analyser, network analyser, thermography
• Fluent German and English
   

Nice to have

• Medical devices and the associated documentation (design history file, design verification).
• Further parts of the 60601 series, in particular -1-2 (EMC), -1-6 (usability) and -1-8 (alarm systems)
• Mains-side power electronics, switch-mode supplies, isolation barriers, motor drive.
• Signal and power integrity on fast interfaces (DDR, LVDS, Ethernet).
• Modern 32-bit microcontroller platforms and the circuitry around them.
• Thermal design and simulation.
• Experience setting technical direction across distributed or partner teams.

What we explicitly do not require

• Prior experience in our application field. We will teach you the domain.
• Every line of the list above. If three quarters fit and you want to learn the rest, apply.

We are looking for a Safety Architect to join an automotive project in Stuttgart.
 

Mandatory requirements:

• Strong professional experience with C++
• Hands-on experience with ISO 26262 / Functional Safety
• Solid background in Automotive Embedded Software
• Availability to work on-site in Stuttgart
   

Responsibilities:

• Develop and integrate embedded software for automotive systems
• Work on safety-critical software components
• Collaborate with the automotive engineering team on ECU/platform development

We are looking for an Integration Team Lead to own everything that connects Equals 5 to the advertising platforms. This is a technical management role: you lead a team of 2–4 engineers, own the integration architecture and roadmap, and stay hands-on in the code. Every number our clients see in a dashboard starts as an API call one of your pipelines made, so reliability and data correctness land on your desk first. You report directly to the CTO and prioritise the roadmap together with the product team. Fully remote, EU timezones.

Requirements

General

• 2+ years leading engineers as a tech lead, team lead or hands-on engineering manager: code review, sprint planning, mentoring
• 5+ years in backend or data engineering, with production systems you supported yourself
• Experience integrating third-party APIs at scale: rate limits, OAuth flows, webhooks, async reports
• Comfortable in a fully remote team with hours overlapping EU timezones
• English B2 or above. Most of our communication is written and async

Technical

• Strong Python 3.11: production-grade code with error handling, structured logging and tests
• Data pipeline patterns in practice: idempotency, backfill, incremental sync, schema evolution
• GCP at the service-design level: Cloud Run services and jobs, Cloud Functions, Cloud Scheduler, Cloud Tasks, Cloud SQL, GCS, Secret Manager
• SQL well beyond the basics, and comfort putting real logic into it. A large part of this pipeline lives in BigQuery scheduled queries and versioned BigQuery migrations rather than in Python
• Writing FRDs and keeping technical documentation current: integration contracts, data models, runbooks. We do not have this discipline today, and establishing it is a core part of the role rather than a bonus
• Monitoring and alerting you set up yourself: Grafana, logs, retry and backfill strategies. Today every alert path ends in Slack
• Docker, and CI/CD you will own. These services currently deploy from hand-run scripts with no pipeline and no tests in CI. Building that out is part of the job, not something you inherit finished

Soft

• You lead in practice: you split work for other people, review their code, unblock them, and say no when that is the right answer
• Systems thinking: you see the full chain from API ingestion to the end-user dashboard
• When a number looks wrong, you trace it back to the source before you change anything
• Task management: your roadmap and your team’s board reflect what is actually happening, and you raise risks while there is still time to act on them
• Pragmatic and transparent, including when something breaks: you say what happened and why, early

AI baseline

AI-assisted development is how we ship, not something we are piloting. Concretely, what we expect from day one:

• Daily use of AI coding agents (Claude Code, Cursor, Codex or similar): required, not “I tried it once”
• 50%+ of the code you ship is drafted by agents and reviewed by you line by line
• Able to run 2–4 agents in parallel on isolated branches or worktrees and merge the results yourself
• You maintain agent context for your projects: CLAUDE.md / AGENTS.md, custom commands, rules files. At least 1 such artifact you wrote yourself and keep current
• You automate at least 1 recurring routine per month with an agent: reports, migrations, release checks, test generation
• You can tell when the agent is wrong and throw the output away. Whatever ships, you are the engineer on the hook for it — we ask about this in the interview

Nice to have

• Hands-on experience with the Meta Marketing API or the LinkedIn Marketing API: breakdowns, attribution windows, async reports
• Experience with a workflow orchestrator (Airflow, Prefect, Temporal). We run on Cloud Scheduler and Cloud Tasks today, and we want a view on whether that should change
• The programmatic and ad-server ecosystem: CM360, DV360, StackAdapt, TikTok
• Advertising metrics and how they are computed: impressions, clicks, conversions, ROAS, attribution models
• Healthcare or pharma domain, especially consent and PII handling
• Building agent harnesses, orchestrators or MCP servers; terminal-first workflow (tmux or equivalent)
• Infrastructure as code. Our infrastructure is in Pulumi, with Terraform for the monitoring stack

Responsibilities

• Own the architecture and evolution of all platform integrations: Meta Marketing API, LinkedIn Marketing API, CM360 and DV360, with StackAdapt and TikTok in flight
• Lead a team of 2–4 engineers: code review, sprint planning, mentoring, input into hiring
• Stay hands-on: you write code yourself as well as distributing it
• Design and maintain the pipelines end to end: ad-platform APIs into BigQuery through Cloud Run Jobs, onward into ClickHouse through Cloud Functions and Cloud Tasks, with a large share of the transformation in BigQuery scheduled queries
• Keep the smaller integrations healthy too, such as the five-minute PostgreSQL to Airtable sync
• Write the FRD before an integration starts and keep the technical documentation current after it ships
• Keep sync reliable: monitoring, alerting, error handling, retry and backfill strategies
• Build out CI/CD, secret handling and test coverage for these services
• Drive new integration projects from API evaluation to production rollout
• Prioritise the integration roadmap together with the product team
• Report to the CTO and agree architecture and technical standards with them

Tech stack

Python 3.11 · GCP (Cloud Run services and jobs, Cloud Functions, Cloud Scheduler, Cloud Tasks, Cloud SQL, GCS, Secret Manager) · BigQuery, ClickHouse, PostgreSQL · Docker, Cloud Build, Pulumi, Terraform · Grafana, Slack · Claude Code

What we offer

• Fully remote with flexible hours, overlapping EU timezones for syncs
• A direct line to the CTO: you shape the architecture and technical standards of the integration layer, and technical direction is agreed with the CTO rather than handed to you as tickets
• Paid AI tooling, including Claude Code
• Ad-platform APIs that fail in ways no documentation describes, at real data volumes
• A small team with no bureaucracy, where decisions happen the same day

About us

Equals 5 is a marketing data platform for pharma. Our clients are pharmaceutical brands, and the people their campaigns reach are verified healthcare professionals. Brand teams use our platform to run campaigns across Meta, LinkedIn and programmatic channels and to measure what those campaigns did. The data infrastructure behind it runs on GCP, with campaign statistics landing in BigQuery and ClickHouse. The team is small, fully remote across EU timezones, and ships every week.

Interview process

1. Intro call, 30 min — expectations both ways
2. Technical interview, 90 min — integration architecture, API experience, data pipeline design, and how you work with coding agents
3. Conversation with our product lead, 45 min

About this role At Coreblocks, we build solutions that empower independent creators, business owners, and freelancers. We are looking for a hands-on Tech Lead to take charge of our core Data squad — the foundation that powers data operations across the entire organization. In this role, you will define the technical strategy for our data platform, driving the development of read models, real-time CDC workflows, and a high-performance analytical warehouse. Our data infrastructure derives directly from live operational systems. You will operate this squad as a key internal service partner, transforming business requirements from cross-functional teams into resilient, fully auditable data products.

You'll take ownership of:

• Squad Leadership & Delivery: Mentor and scale an agile team of backend and data engineers. As Tech Lead, you take full accountability for end-to-end execution, measuring success by value delivered in production. You will serve as the technical authority across teams while staying actively involved in coding, demonstrating modern AI-driven engineering practices every week.
• Data Platform Engineering: Design and scale robust, high-load data architectures, building real-time ELT/ETL pipelines and high-throughput microservices in Go (ensuring operational systems remain the single source of truth).
• Compliance & Data Governance: Architect secure storage mechanisms and data flows that meet strict multi-jurisdictional regulations, incorporating automated audit trails, retention policies, and strict data segregation.
• Event-Driven Infrastructure: Build scalable streaming architectures and Change Data Capture (CDC) pipelines connecting operational engines to our analytical layers using NATS, PostgreSQL, and ClickHouse.
• AI-Powered Workflows: Embed modern AI tooling (Cursor, Claude) into the squad’s routine, optimizing prompt pipelines, custom rules, and automated workflows to maximize team output.
• Data Quality & Technical Standards: Establish end-to-end data observability and consistency across ClickHouse and PostgreSQL while mentoring engineers in Go and TypeScript best practices.

About you:

• Proven Engineering Leadership: 5+ years of software engineering experience with demonstrated success in leading, mentoring, and setting architectural standards for high-performing technical teams.
• Go Expertise: Exceptional proficiency in writing clean, scalable Go code, with strong knowledge of concurrency, memory management, and system performance tuning.
• Data Streaming & Pipeline Mastery: Hands-on background in constructing CDC pipelines, ELT processes, and handling high-volume event streaming (NATS, Kafka, or similar).
• Database & Regulatory Knowledge: Deep expertise in PostgreSQL and ClickHouse (OLAP), with practical experience resolving data localization, residency, and compliance constraints across global markets.
• Fintech / Regulated Sector Experience: Background in developing data infrastructure within neobanking, fintech, or regulated digital financial platforms.
• AI-First Mindset: Daily use of advanced AI coding assistants (Claude, Cursor) to accelerate architecture design, system configuration, and feature delivery.
• Open & Collaborative Approach: Excellent communication skills, strong team empathy, and a commitment to transparent decision-making.
• Professional English: Fluent written and spoken English (B2+) to articulate technical visions and align global stakeholders effectively.

Nice-to-haves (Bonus Points):

• Kafka Ecosystem: Deep hands-on experience with Kafka, including Kafka Connect customization and complex data transformations.
• Advanced ClickHouse Tuning: Expertise in schema optimization, query acceleration, and scaling large ClickHouse installations.
• Production ML Pipelines: Practical experience streaming machine learning model outputs directly into operational data pipelines.

About this role At Coreblocks, we create tools that support independent creators, entrepreneurs, and freelancers. In this position, you will drive the technical development of our native Android application, creating fast, seamless, and intuitive mobile features that simplify how users manage fiat, digital assets, and investment portfolios. We grant you complete engineering autonomy, valuing high craftsmanship and zero micromanagement, allowing you to design, build, and deploy secure, beautifully styled mobile experiences end-to-end.

You'll take ownership of:

• Native Application Development: Design, implement, and maintain responsive Android features (including transaction history, account overviews, payment processing, and multi-asset dashboards) maintaining full parity with our web platform.
• Secure API Communication: Work closely with backend teams to consume and protect real-time financial streams over RESTful services.
• Client-Side Security: Build and enforce high-standard security patterns, incorporating biometric logins, secure token storage using Android Keystore, certificate pinning, and smooth multi-factor authentication (MFA) flows.
• Design System & UI Execution: Convert Figma designs into pixel-perfect Material Design layouts using Jetpack Compose, delivering simple user journeys for complex financial operations.
• Code Reliability & App Performance: Write solid unit and integration test suites (JUnit, MockK), conduct thorough code reviews, monitor application memory/resource consumption across various Android devices, and fix production issues rapidly.
• Agile Collaboration & Delivery: Contribute actively to sprint planning, offer reliable technical estimates, and align software roadmaps with Product Leadership by understanding the business drivers behind every task.
• AI-Native Engineering: Leverage modern AI assistants (Cursor, Claude, or GitHub Copilot) in your everyday workflow to speed up UI prototyping, code writing, and unit test coverage.

About you:

• Commercial Android Experience: 3+ years of professional experience developing native Android applications, with high proficiency in Kotlin and hands-on familiarity with Kotlin Multiplatform (KMP).
• Modern Android Stack: Thorough understanding of modern architectural patterns (MVVM/MVI, Clean Architecture) and Jetpack components (ViewModel, Coroutines Flow, Navigation).
• Declarative UI & Concurrency: Strong hands-on experience using Jetpack Compose (or extensive background with traditional XML Layouts) alongside Kotlin Coroutines and Flow for managing reactive data streams.
• Mobile Security Practice: Practical knowledge of securing sensitive data in mobile apps, including Keystore integration, code obfuscation (ProGuard/R8), and encrypted local storage.
• Testing & Quality Assurance: Proven track record of writing unit tests (JUnit, Mockito/MockK), exceptional debugging skills, and a strong focus on mobile app performance and crash-free rates.
• Self-Driven Accountability: Ability to manage your own tasks independently, taking full responsibility for features from initial setup to Google Play release without needing constant oversight.
• Open Communication: Professional English skills (spoken and written), strong team spirit, willingness to share knowledge across engineering teams, and a commitment to a respectful working culture.

We are looking for a forward-thinking, driven, and hands-on Global Chief Information Security Officer (CISO) to design, implement, and scale our global information security strategy. As we expand, you will be responsible for building security processes from scratch, ensuring unimpeachable information security compliance across the regulated markets, and leading a distributed remote team.

This is a leadership role that is focused entirely on the global information security posture of the company.

Key Responsibilities:

InfoSecurity Strategy & Governance:

• Define, drive, and execute the global information security roadmap aligned with business goals.
• Assess and define CEX.IO’s current and future requirements in terms of information security.
• Identify capability gaps in the context of regulatory considerations and industry benchmarks
   

Process Management:

• Build, implement, and optimize robust security processes, frameworks, and policies across the entire organization from the ground up.
• Ensure all target teams are provided with the training and resources needed to perform their jobs to the highest degree possible

Compliance, Certifications & Audits:

• Oversee the successful acquisition and maintenance of industry-specific licenses and certifications (e.g., SOC 2, PCI-DSS, DORA, MiCA/crypto regulations). Manage regular internal/external security audits and executive reporting. 
  To achieve this, you will closely collaborate with:
• External auditors and regulators, acting as the primary technical point of contact and subject matter expert during corporate certification processes and regulatory reviews.
• Legal and data protection team to ensure information security policies strictly map to European GDPR compliance, data privacy laws, and corporate governance standards.
• Managing Directors and Officers within the UK, US, and ES locations to bridge global information security frameworks with local regulatory mandates and licensing requirements.
• Engineering and Product teams to embed security directly into the software development lifecycle and product roadmap. You will collaborate on secure coding practices, vulnerability management, and ensuring that product architectures (especially crypto/wallet features) are secure by design before release.

Team Leadership: 

• Lead, mentor, and scale a high-performing, fully remote security team.
• Foster a culture of accountability and proactiveness.
• Lead all managerial functions in accordance with the company’s policies and procedures (hiring, training, setting goals, appraising performance, budgeting)

Risk & Incident Management:

• Act as the ultimate point of escalation for global security incidents, ensuring proactive threat hunting and rapid mitigation.
• Manage the oversight of technical risk assessments, such as vulnerability scanning, penetration testing, risk reviews for new applications, and third-party risk assessments

Requirements (Must-Haves)

• Experience: Proven track record in a senior security leadership role (CISO, Director of Security, or Head of Information Security) within the Financial Services or FinTech sector.
• Direct experience steering organizations through complex information security audits, certifications, licensing, and international regulatory compliance.
• Demonstrated experience in creating, implementing, and managing group-level security processes and frameworks.
• Exceptional leadership skills with a proven ability to manage remote, distributed teams. Strong sense of ownership, proactiveness, and high responsibility.
• Language: Fluent English with excellent communication and reporting skills; Ukrainian or Russian will be an advantage.
• Location: Must be physically located and legally authorized to work remotely within Europe.
   

Preferred (Nice-to-Haves)

• Hands-on experience in the Cryptocurrency, Web3, or Blockchain industry,understanding specific security vectors (custody, cold/hot wallet security).

ABOUT THE COMPANY

Our client is a well-funded AI product company building a “second brain” for senior HR leaders and their teams. Its platform combines AI, people analytics, and a professional network used by thousands of C-level executives.

We're looking for a Fullstack Product Engineer who wants to:

• Own features end-to-end, from deeply understanding the customer problem to shipping the feature and driving its usage & adoption.
• Work across the entire stack (React, TypeScript, NestJS, PostgreSQL).
• Ship fast & high quality;you believe speed vs. quality is a false choice, and in fact you can increase both in lockstep.
• Work directly with customers: from hopping on calls, to debugging their problems, and then iterating based on real feedback
• Craft positive-sum engineering practices that increase velocity.
• Become one of the first 3 engineers in the AI & Analytics pod

This is only an in-person role (4-5 days/week) in NYC. The company has a beautiful office in a 1,000+ ft skyscraper in the heart of Hudson Yards, New York.

TECH STACK

• Frontend: React, TypeScript, Vite
• Backend: NestJS, TypeScript
• Data: PostgreSQL, Redis
• Infrastructure: AWS, GitHub Actions
• Observability: Sentry, New Relic
• AI Dev Tools: Cursor, Claude Code (or similar)

Nice to have: SQL proficiency and experience working with data warehouses (the team use Snowflake for analytics).

CANDIDATE CRITERIA

• You have 2-6 years building and shipping product.You've worked on real products with real users. You've felt the pain of production issues and learned from them.
• You're strong across the stack.You can build a React component, write a backend service, and debug a database query. You might be stronger in one area, but you're not helpless in any of them.
• You genuinely enjoy customer interaction. You've been on customer calls before and found them valuable, not painful. You understand that great products come from deeply understanding user problems.
• Strong SQL knowledge is a plus.We build querying engines on top of Snowflake data—if you're comfortable writing and optimizing complex queries, that's a big advantage.
• You're AI-native and AI-augmented.Cursor, Claude Code, AI-assisted reviews—these have fundamentally changed how you work. You're constantly experimenting with new AI tools and have opinions on what's worth adopting. If you're still coding the way you did in 2022, this isn't the right fit.
• You have an owner's mindset. Self-driven, resourceful, ready to build and be in the trenches. You don't need to be managed; you need to be pointed at problems.
• You've worked in high-intensity environments.Startups, high-growth teams, or any context where speed and quality both mattered.
• You're a positive influence on every team you've been on. Low ego, high standards

WHAT YOU'LL DO

• Ship features end-to-end from problem understanding to production, across frontend and backend
• Talk to customers regularly: join calls, gather feedback, and translate their problems into solutions
• Write code that lasts with tests, edge case handling, and clear documentation
• Review code thoughtfully and hold the bar on quality for the team
• Debug production issues and make sure they don't happen again
• Help cultivate engineering culture as one of the founding engineers of this pod

COMPANY OFFER

• Full-time position with a well-funded, fast-growing AI product company
• High-impact role as one of the first three engineers in a newly formed AI product pod
• End-to-end ownership of customer-facing features, from discovery to production and adoption
• Direct collaboration with customers and C-level executives
• Opportunity to shape the product, engineering practices, and team culture from an early stage
• Modern stack
• AI-native engineering environment
• Fast-moving team with high standards, minimal bureaucracy, and strong individual ownership
• In-person work from the company’s office in Hudson Yards, New York City, 4-5 days per week