Commit Offshore

We are looking for Data Engineer in Kraków, Poland who will own the company data lake — the system of record for millions of financial events a day (bets, wallet movements, live odds) across 12M+ active users. You decide how that data lands, is stored, retained, and governed on S3 + Snowflake/Databricks, so analytics, finance, and regulators all see accurate, reconciled data with zero drift from source.

Domain: Regulated iGaming / wallet & ledger data. Audit-heavy: regulators, finance and analytics all consume the same tables. Millions of financial events per day, terabyte-plus scale.
 

What you'll be doing:

• Own the lakehouse architecture: bronze/silver/gold layers, Iceberg/Delta tables, schema evolution.
• Land operational data via CDC streaming (Kafka, Debezium), handling late and duplicate events.
• Design data layout for speed and cost: partitioning, compaction, file sizing, query performance on Trino/Athena/Snowflake.
• Own retention and archival: storage tiering, regulatory retention, immutability, GDPR deletion.
• Guarantee correctness: freshness SLAs, drift detection, reconciliation against the source wallet and ledger systems.
• Own governance: catalog and lineage, row/column access control, PII masking, encryption, audit trails.
• Monitor ingestion health, data anomalies, and cloud storage/compute spend.
  
  Must-have:
• 3 years' experience in hands-on delivery within that architecture — pipelines, ingestion, models, monitoring
• Lakehouse architecture — bronze/silver/gold layering, an open table format (Iceberg, Delta, or Hudi), schema evolution.
• Data layout & query optimization at TB+ scale — partitioning, compaction, file sizing, query performance on Trino/Athena/Snowflake.
• Cloud lakehouse/DWH in production — Snowflake, Databricks, or BigQuery.
• CDC & streaming ingestion — Kafka + Debezium or equivalent; late, duplicate and out-of-order events.
• Strong SQL and data modeling — enough relational grounding to reason about the OLTP systems you capture from. Critical for financial ledgers.
• Correctness — freshness SLAs, drift detection, reconciliation against source wallet/ledger systems.
• Governance — catalogs, lineage, row/column access control, PII masking, retention, GDPR deletion.
• Cloud object storage — S3 or GCS, plus storage tiering and archival.

• Python and an orchestrator — Airflow or Dagster, as tools.

   

  Location & work model:

• Kraków, Poland. Hybrid — 2 days per week from the office.

The role

Principal DevOps Engineer to design and build the AWS infrastructure and delivery platform the new gaming platform will run on. Greenfield: define the cloud foundation — account structure, networking, Kubernetes platform, CI/CD, observability — before the first production workload lands, then scale it to sportsbook peak traffic for millions of players. The platform must hold under live-betting spikes, strict uptime expectations for a money-moving system, and gaming-regulator audit and compliance requirements. Hands-on technical leader: writes infrastructure code daily, sets platform standards, and is the technical authority on how software is built, shipped and operated.

What you will do

• Design the AWS foundation from scratch: multi-account architecture (AWS Organizations), landing zone, VPC and networking, IAM strategy, cost governance
• Build and operate the container platform — Amazon EKS, service mesh, autoscaling tuned for spiky sportsbook load, multi-AZ (and where justified multi-region) resilience
• Define everything as code: Terraform for all infrastructure, GitOps delivery (Argo CD or similar), paved-road CI/CD pipelines so product teams ship safely and often
• Establish the observability stack — metrics, logging, tracing, alerting (Prometheus/Grafana, OpenTelemetry, CloudWatch) — and drive an SLO-based reliability practice with error budgets
• Own production readiness: incident response, on-call design, runbooks, chaos/load testing ahead of major sporting events, blameless postmortems
• Build the infrastructure side of the migration off the current third-party platform: dual-running environments, data migration pipelines, cutover mechanics
• Embed compliance into the platform: audit trails, environment segregation, backup/DR, controls that satisfy gaming regulators by construction
• Partner with the AI coding platform team: provision and operate the infrastructure behind AI-assisted development, and bring AI tooling into DevOps workflows
• Mentor engineers across teams on cloud-native and operational best practices; set organization-wide standards

Must have

• 10+ years of DevOps / platform / infrastructure engineering, including 3+ years at staff/principal level with organization-wide influence
• Deep hands-on AWS: EKS, EC2, RDS/Aurora, networking (VPC, Transit Gateway, Route 53), IAM at scale, multi-account architectures (AWS certifications such as SA Professional / DevOps Professional are a plus)
• Expert-level infrastructure as code with Terraform
• Strong Kubernetes operational depth: day-2 operations, upgrades, capacity, cost
• Track record of building CI/CD and developer platforms engineering teams adopted willingly — golden paths, not gatekeeping
• Observability and SLO/error-budget practice (Prometheus/Grafana, OpenTelemetry, CloudWatch)
• Experience operating high-availability, high-throughput production systems with real traffic spikes, with documented playbooks from real incidents
• Strong scripting/programming (Python, Go or Bash) and comfort reading application code
• Experience designing backup, disaster recovery and business continuity for systems where data loss is not an option
• Excellent written and spoken English; communicates platform decisions clearly to engineers and executives

Nice to have

• Hands-on use of AI coding tools (Claude Code, Codex) for infrastructure, pipelines and ops automation — a significant plus
• Security engineering: cloud security posture management, secrets management (e.g. Vault), vulnerability management, SAST/DAST/SCA in CI/CD, ISO 27001 / SOC 2 / PCI DSS
• iGaming, sports betting, fintech or another regulated, high-transaction-volume domain
• Migration off a third-party vendor platform
• Event-streaming infrastructure (Kafka/MSK) and database operations at scale
• Polish and/or Spanish

Job Summary

We are seeking a Senior DevOps Engineer to build and maintain the cloud infrastructure supporting our CI/CD pipelines and production services. You will work closely with software engineers, fellow DevOps engineers, and other team members to automate, scale, secure, and continuously improve our platform.

Key Responsibilities

• Design, build, and maintain scalable, highly available, and secure infrastructure.
• Automate CI/CD pipelines and manage deployments to staging and production environments.
• Work with Kubernetes, Docker, and Helm for container orchestration and management.
• Manage and implement Infrastructure-as-Code using Terraform and Terragrunt.
• Set up and maintain monitoring and logging systems such as Prometheus, Grafana, and ELK/OpenSearch.
• Collaborate across engineering teams to ensure platform reliability, performance, and scalability.
• Maintain system security and implement DevOps and cloud infrastructure best practices.

Requirements

• 6+ years of experience as a DevOps Engineer in a production environment.
• Strong Linux and networking fundamentals.
• Proven experience working with managed cloud services, preferably AWS or GCP.
• Strong proficiency with Docker, Kubernetes, and Helm.
• Hands-on experience with Infrastructure-as-Code tools, including Terraform and Terragrunt.
• Experience with CI/CD tools, preferably GitHub Actions and self-hosted runners.
• Solid shell scripting skills and basic experience with Python or Go.
• Familiarity with security principles and industry best practices.
• Strong communication skills and the ability to work independently.

Expectations

• Ownership: When identifying a problem, take an active role in driving it toward resolution or ensure it is clearly and appropriately handed over to the relevant owner.
• Accountability: Follow through on commitments, communicate progress clearly, and raise risks or blockers at an early stage.
• Thinking Beyond Tickets: Look beyond assigned tasks and continuously identify opportunities to improve reliability, security, automation, observability, and overall operational excellence.

About the Team

You will join an international Ukrainian–Israeli development team working on a data-driven product in the sports betting domain (African market), with future plans to expand into banking solutions.

Project Overview

The product collects and aggregates sports event data from multiple sources, analyzes client behavior, and distributes processed data to end users. The project is actively evolving, with a strong focus on automation and AI-driven decision-making.

Role Purpose

Both frontend and backend experience are highly important for this role. Only candidates with a .NET and Angular tech stack will be considered.

Responsibilities

• Develop and maintain backend and frontend services using .NET 5/Angluar 16
• Develop system integrations with third party providers (SMS. email, payment systems)
• Work with MS SQL databases (data modeling, performance optimization, changes management)
• Experience with Agentic.ai
• Participate in system architecture discussions and technical decisions
• Collaborate closely with the Team Lead and development team
• Take ownership of assigned components and ensure their stability in production
• Participate in estimation, planning, and Jira-based workflows
• Be available for paid on-call duty on weekends (emergency response within 1 hour, approximately 1-2 per month)

Technical Requirements

Must-have

• Angular 16
• Ionic
• .NET 5
• MS SQL
• understanding of backend architecture and data flows
• Experience working in production systems
• English B2+
  • Experience with Claude and agentic development

Nice-to-have

• RabbitMQ
• AWS
• Python

Soft Skills

• Fast learner, flexible, able to work in a fast-paced environment
• Strong sense of ownership and responsibility
• Attention to detail
• Clear and effective communication
• Team-oriented and humble mindset

What you'll be doing

• Own the lakehouse architecture: bronze/silver/gold layers, Iceberg/Delta tables, schema evolution.
• Land operational data via CDC streaming (Kafka, Debezium), handling late and duplicate events.
• Design data layout for speed and cost: partitioning, compaction, file sizing, query performance on Trino/Athena/Snowflake.
• Own retention and archival: storage tiering, regulatory retention, immutability, GDPR deletion.
• Guarantee correctness: freshness SLAs, drift detection, reconciliation against the source wallet and ledger systems.
• Own governance: catalog and lineage, row/column access control, PII masking, encryption, audit trails.
• Monitor ingestion health, data anomalies, and cloud storage/compute spend.

Must-have

• Senior: 5+ years in data engineering, with real ownership of a large-scale data lake or lakehouse.
• Lakehouse architecture — bronze/silver/gold layering, an open table format (Iceberg, Delta, or Hudi), schema evolution.
• Data layout & query optimization at TB+ scale — partitioning, compaction, file sizing, query performance on Trino/Athena/Snowflake.
• Cloud lakehouse/DWH in production — Snowflake, Databricks, or BigQuery.
• CDC & streaming ingestion — Kafka + Debezium or equivalent; late, duplicate and out-of-order events.
• Strong SQL and data modeling — enough relational grounding to reason about the OLTP systems you capture from. Critical for financial ledgers.
• Correctness — freshness SLAs, drift detection, reconciliation against source wallet/ledger systems.
• Governance — catalogs, lineage, row/column access control, PII masking, retention, GDPR deletion.
• Cloud object storage — S3 or GCS, plus storage tiering and archival.
• Python and an orchestrator — Airflow or Dagster, as tools.

Location & work model

Kraków, Poland. Hybrid — 2 days per week from the office.

We are seeking a results-driven UX Designer to own the end-to-end user experience of our AI-powered video intelligence platform. This role sits at the intersection of Product, Engineering, and AI. You will translate complex computer vision capabilities into intuitive, high-performance workflows used by security operators and enterprise teams worldwide.

This is not a surface-level UI role. You will shape product strategy, define interaction models, build scalable design systems, and ensure that advanced AI capabilities feel simple, usable, and powerful.

Responsibilities

• Own the full UX lifecycle — from discovery and concept development through wireframes, high-fidelity designs, prototyping, and engineering handoff across web and mobile platforms
• Design intuitive, user-centered experiences that simplify complex AI-driven security workflows and enterprise systems
• Define information architecture for data-rich, analytics-heavy products to ensure clarity, scalability, and performance
• Lead structured user research initiatives, including field studies, stakeholder interviews, usability testing, and behavioral analysis
• Validate concepts through rapid prototyping, usability testing, and iterative experimentation
• Build and evolve Lumana’s cross-platform design system, ensuring consistency, scalability, and engineering alignment
• Leverage UX analytics and product data to drive continuous improvements in usability, adoption, and workflow efficiency
• Collaborate cross-functionally with Engineering, Product, and Leadership to ensure design quality and scalable implementation
• Align UX strategy with product roadmap priorities, contributing to long-term platform vision
• Present and defend design decisions using research, data, and principled thinking
• Other duties may be assigned

Must Have

• Bachelor’s degree in Design, Human-Computer Interaction, Engineering, or a related field
• 3+ years of experience in UX/UI design for complex B2B, enterprise, or data-heavy platforms
• Strong portfolio demonstrating end-to-end UX work across research, interaction design, and high-fidelity execution
• Proven experience designing complex systems, dashboards, or analytics-driven applications
• Advanced proficiency in Figma and modern design systems
• Experience leading user research initiatives and translating insights into shipped product improvements
• Strong communication skills, with the ability to clearly articulate design decisions to technical and non-technical stakeholders

Experience collaborating closely with Engineering teams in fast-paced product environments

About the Team

You will join an international Ukrainian–Israeli development team working on a data-driven product in the sports betting domain (African market), with future plans to expand into banking solutions.

Project Overview

The product collects and aggregates sports event data from multiple sources, analyzes client behavior, and distributes processed data to end users. The project is actively evolving, with a strong focus on automation and AI-driven decision-making.

Role Purpose

Both frontend and backend experience are highly important for this role. Only candidates with a .NET and Angular tech stack will be considered.

Responsibilities

• Develop and maintain backend and frontend services using .NET 5/Angluar 16
• Develop system integrations with third party providers (SMS. email, payment systems)
• Work with MS SQL databases (data modeling, performance optimization, changes management)
• Experience with Agentic.ai
• Participate in system architecture discussions and technical decisions
• Collaborate closely with the Team Lead and development team
• Take ownership of assigned components and ensure their stability in production
• Participate in estimation, planning, and Jira-based workflows
• Be available for paid on-call duty on weekends (emergency response within 1 hour, approximately 1-2 per month)

Technical Requirements

Must-have

• Angular 16
• Ionic
• .NET 5
• MS SQL
• understanding of backend architecture and data flows
• Experience working in production systems
• English B2+
  • Experience with Claude and agentic development

Nice-to-have

• RabbitMQ
• AWS
• Python

Soft Skills

• Fast learner, flexible, able to work in a fast-paced environment
• Strong sense of ownership and responsibility
• Attention to detail
• Clear and effective communication
• Team-oriented and humble mindset

About the Role

This is a high-impact, hands-on leadership role where you will combine strong backend engineering expertise with technical leadership and people development.

You will work closely with Engineering, Product, Customer Success, and customers, owning execution across multiple workstreams and helping shape technical decisions from initial design through production.

We’re looking for someone who is technically strong, hands-on, AI-driven, and passionate about developing people while building scalable and reliable systems.

What We’re Looking For

• 6+ years of hands-on software development experience
• 3–5 years of experience in a technical leadership or Team Lead role
• Deep hands-on expertise with Node.js — must-have
• Strong experience with AWS — must-have
• Experience with React — preferred
• Experience with Python — advantage
• Experience working with MongoDB
• Strong experience designing and building scalable backend systems
• Proven experience managing technical execution across multiple workstreams
• Strong understanding of software architecture, scalability, reliability, and clean code principles
• Experience delivering end-to-end features and projects from design through production
• Experience working in a fast-paced product environment
• Strong ownership mindset and ability to make technical decisions independently
• Strong communication and interpersonal skills
• Experience leading or collaborating with global or distributed teams
• Ability to communicate complex technical decisions clearly to both technical and non-technical stakeholders
• Experience participating in customer-facing technical discussions

What You’ll Be Doing

Leadership & Sprint Execution

• Own Team Execution: Lead the team across multiple workstreams, ensuring high-quality delivery and strong execution throughout every sprint.
• Drive Sprint Planning: Own the sprint planning process, including prioritization, capacity planning, and alignment on sprint goals and deliverables.
• Cross-Team Coordination: Act as the primary bridge between your team and other departments, proactively removing blockers and managing cross-team dependencies.
• Develop the Team: Improve team velocity and individual capabilities through ongoing coaching, mentoring, feedback, and identification of skill gaps.

Technical Excellence & Design

• Own Technical Design: Lead the technical design of features and solutions, ensuring they are scalable, reliable, maintainable, and built according to strong engineering standards.
• Stay Hands-On: Lead by example through active participation in high-scale, cloud-based development using technologies such as Node.js, AWS, and MongoDB.
• Drive Code Quality: Conduct thorough code reviews and promote best practices around architecture, maintainability, performance, and engineering quality.
• Partner with Product: Work closely with Product Managers to shape features from initial concept and technical design through development, release, and production.

Customer-Facing & Domain Ownership

• Engage with Customers: Participate in technical sessions with customers, helping address technical requirements, challenges, integrations, and product-related discussions.
• Own Your Domain: Serve as the technical focal point for your domain and manage communication with OX’s internal Customer Success teams.
• Shape Product Enhancements: Lead technical discussions and decision-making related to product improvements, new capabilities, and feature planning.

AI-First & Performance Mentality

• Drive an AI-First Culture: Integrate AI tools and workflows into the daily development lifecycle, including AI-assisted coding, automated testing, prompt-driven prototyping, and other productivity-enhancing practices.
• Improve Efficiency & Quality: Promote a strong “Get Things Done” culture where speed does not come at the expense of stability, scalability, or quality.
• Use Modern Engineering Tools: Ensure the team continuously adopts the best available technologies, tools, and development practices to improve productivity and overall engineering performance.

This is a high-impact, hands-on leadership role where you will combine strong backend engineering expertise with technical leadership and people development.

We’re looking for someone who is technically strong, hands-on, AI-driven, and passionate about developing people while building scalable and reliable systems.

What We’re Looking For

• 6+ years of hands-on software development experience
• 3–5 years of experience in a technical leadership or Team Lead role
• Deep hands-on expertise with Node.js — must-have
• Strong experience with AWS — must-have
• Experience with React — preferred
• Experience with Python — advantage
• Experience working with MongoDB
• Strong experience designing and building scalable backend systems
• Proven experience managing technical execution across multiple workstreams
• Strong understanding of software architecture, scalability, reliability, and clean code principles
• Experience delivering end-to-end features and projects from design through production
• Experience working in a fast-paced product environment
• Strong ownership mindset and ability to make technical decisions independently
• Strong communication and interpersonal skills
• Experience leading or collaborating with global or distributed teams
• Ability to communicate complex technical decisions clearly to both technical and non-technical stakeholders
• Experience participating in customer-facing technical discussions

- Only specialists with proven engineering leadership experience will be considered.

What You’ll Be Doing

Leadership & Sprint Execution

• Own Team Execution: Lead the team across multiple workstreams, ensuring high-quality delivery and strong execution throughout every sprint.
• Drive Sprint Planning: Own the sprint planning process, including prioritization, capacity planning, and alignment on sprint goals and deliverables.
• Cross-Team Coordination: Act as the primary bridge between your team and other departments, proactively removing blockers and managing cross-team dependencies.
• Develop the Team: Improve team velocity and individual capabilities through ongoing coaching, mentoring, feedback, and identification of skill gaps.

Technical Excellence & Design

• Own Technical Design: Lead the technical design of features and solutions, ensuring they are scalable, reliable, maintainable, and built according to strong engineering standards.
• Stay Hands-On: Lead by example through active participation in high-scale, cloud-based development using technologies such as Node.js, AWS, and MongoDB.
• Drive Code Quality: Conduct thorough code reviews and promote best practices around architecture, maintainability, performance, and engineering quality.
• Partner with Product: Work closely with Product Managers to shape features from initial concept and technical design through development, release, and production.

Customer-Facing & Domain Ownership

• Engage with Customers: Participate in technical sessions with customers, helping address technical requirements, challenges, integrations, and product-related discussions.
• Own Your Domain: Serve as the technical focal point for your domain and manage communication with OX’s internal Customer Success teams.
• Shape Product Enhancements: Lead technical discussions and decision-making related to product improvements, new capabilities, and feature planning.

AI-First & Performance Mentality

• Drive an AI-First Culture: Integrate AI tools and workflows into the daily development lifecycle, including AI-assisted coding, automated testing, prompt-driven prototyping, and other productivity-enhancing practices.
• Improve Efficiency & Quality: Promote a strong “Get Things Done” culture where speed does not come at the expense of stability, scalability, or quality.
• Use Modern Engineering Tools: Ensure the team continuously adopts the best available technologies, tools, and development practices to improve productivity and overall engineering performance.

We are looking for a Professional Services Engineer (SW Developer) - a senior technical leader at the intersection of software engineering, AI, and professional services. Reporting to the Services Director, the engineer owns the technical backbone of the Field Deployment Engineering (FDE) program, builds custom integrations for complex customer environments, serves as the internal escalation authority for challenging deployments, and drives AI-powered automation across the global services organization. Globally-scoped, customer-facing, up to 50% international travel (Americas, EMEA, APAC).

Must-have skills

• Backend engineering — 6+ yrs, Python preferred (Node.js / Java accepted) 
• REST APIs, webhooks & data-pipeline integration — building and integrating 
• Practical AI/ML — LLMs (OpenAI, Anthropic), agentic workflows, production AI tooling 
• Cloud infrastructure — AWS / Azure / GCP, Docker / Kubernetes, CI/CD 
• Professional services background — field engineering, solutions consulting, customer-facing delivery; scoping & architecting with enterprise customers 
• Enterprise data environments — SQL / NoSQL, data transformation, ETL 
• Customer engagement & communication — exec briefings to technical sessions; up to 50% travel 
• Leadership — influence without authority, mentoring engineers in distributed teams 

Responsibilities

• Build and execute the regional go-to-market strategy, including target accounts, market segmentation, competitive positioning, partnerships, and sales priorities.
• Own regional revenue targets and take full responsibility for market growth.
• Own the full enterprise sales cycle for strategic accounts, from prospecting and first meetings through negotiation and signed contracts.
• Proactively identify and bring in new customers across banks, brokerages, asset managers, wealth platforms, and other financial institutions.
• Build sales processes, market-entry strategies, and commercial activities from scratch when entering or developing a new region.
• Develop and manage local partnerships that support pipeline generation, market credibility, and business development.
• Build strong relationships with senior stakeholders and decision-makers across financial institutions.
• Represent BridgeWise in meetings with senior executives, commercial stakeholders, and technology teams.
• Understand customer needs and communicate BridgeWise’s offering within the context of capital markets, financial data, APIs, iframe integrations, and B2B technology solutions.
• Work closely with Product, Customer Success, Marketing, Partnerships, and other internal teams to move opportunities forward and support customers.
• Take ownership of opportunities and business needs even when they fall outside the traditional scope of the role.
• Hire, coach, and manage regional sales talent as the market grows.
• Build and maintain an active network of relevant contacts within the region.
• Provide regular reporting on pipeline, forecasts, market developments, competitive activity, and overall regional progress to global leadership.

Requirements

• 7+ years of experience in enterprise, institutional, or B2B sales, ideally within Fintech, Capital Markets, Financial Data, WealthTech, or B2B SaaS.
• Proven track record of closing complex, high-value B2B deals.
• Experience selling to or working with banks, brokerages, asset managers, wealth platforms, or other financial institutions.
• Strong understanding of the capital markets ecosystem and the ability to communicate comfortably using relevant financial and technical terminology.
• Ability to understand and discuss technology concepts relevant to the sales process, including APIs, iframe integrations, data platforms, and B2B software integrations.
• Strong understanding of markets, customer structures, buying processes, and commercial decision-making.
• Existing network of relevant contacts within the target region.
• Proven ability to build sales processes, pipelines, partnerships, and market presence from scratch.
• Entrepreneurial mindset with a strong ability to identify opportunities and turn them into commercial results.
• Highly autonomous and comfortable operating with significant ownership in a fast-moving startup environment.
• Willingness to take initiative and handle responsibilities outside the strict boundaries of the role when needed.
• Excellent communication, negotiation, and relationship-building skills.
• Excellent English, with the ability to lead high-level business conversations and negotiations.
• Fluent in the primary language of the relevant region.

What You Will Do

• Advise teams on DevOps best practices, processes, and tools.
• Improve the overall Software Development Life Cycle (SDLC).
• Design, implement, and maintain monitoring, tracing, and logging infrastructure.
• Build and maintain CI/CD pipelines and supporting cloud infrastructure.
• Maintain and optimize custom-built systems, with scalability, reliability, and security in mind.
• Support the migration of services from GCP-hosted Kubernetes environments to AWS using serverless frameworks and architectures.
• Help establish and reinforce development best practices and deployment procedures.
• Create automation scripts for system deployment, monitoring, maintenance, and operational workflows.
• Support both cloud-based and on-premises or distributed systems.
• Produce clear and detailed technical documentation for systems, processes, and procedures.

• Promote continuous improvement across infrastructure, operations, and software delivery.

   

Requirements

• At least 3 years of professional experience working with AWS and/or GCP cloud services.
• At least 3 years of experience with technologies such as:
  • AWS Lambda or other cloud functions
  • Amazon Route 53
  • Amazon VPC
  • Amazon EC2
  • Pub/Sub messaging systems
  • Kubernetes
  • Serverless Framework
• At least 2 years of experience building and maintaining CI/CD pipelines using tools such as GitHub Actions, AWS CodeBuild, and AWS CodePipeline.
• At least 2 years of experience with source-control platforms such as GitHub and AWS CodeCommit.
• At least 2 years of experience monitoring distributed systems, preferably with Datadog.
• Experience implementing secure Software Development Life Cycle practices.
• Strong scripting skills using PowerShell, Bash, or Node.js. Python experience is an advantage.
• Fundamental knowledge of Linux and Windows operating systems.
• Practical experience with Docker, Kubernetes, and REST APIs.
• Experience working with on-premises or distributed solutions.
• Solid understanding of ITIL principles and a proactive approach to continuous improvement.
• Ability to create accurate, detailed, and well-structured technical documentation.
• Strong problem-solving skills and a self-driven, hands-on working style.
• Passion for technology and the ability to influence technical decisions across software-development teams.

• Commitment to completing tasks with precision, accountability, and integrity.

   

Advantages

Experience with any of the following would be an advantage:

• AI or MLOps, including NVIDIA Jetson or other NVIDIA technologies
• Agile software-development methodologies
• Cloudflare services
• Helm
• Docker Compose
• Swagger or OpenAPI documentation
• SQL and NoSQL databases, including DynamoDB, MongoDB, and MySQL
• AWS or GCP professional certifications

Key Responsibilities:

• Architecture & Design: Lead the architecture and design of high-performance, scalable, and fault-tolerant Node.js applications, microservices, Big Data processing systems, and data pipelines running in a cloud environment (primarily AWS).
• Cloud Infrastructure: Utilize AWS services such as EC2, Lambda, RDS, S3, Kafka/MSK, SQS, and others to ensure that applications and data platforms are highly available, secure, and performant.
• Microservices & Event-Driven Systems: Build and manage distributed, high-load microservices and event-driven architectures that can scale effectively and handle large volumes of concurrent traffic and data.
• Data Infrastructure: Design and develop integrations and Big Data processing pipelines that ingest, transform, and distribute large volumes of data across operational and analytical systems.
• High-Performance Systems: Optimize Node.js applications and data processing workloads for performance under high load, ensuring minimal latency and maximum throughput.
• Multithreading: Implement advanced multithreading techniques to enhance system performance and concurrency.
• Code Quality & Best Practices: Write clean, maintainable, and efficient code while adhering to industry best practices and design patterns.

Part of the role will include integration with multiple external APIs, processing large volumes of data, and compiling it in a flexible way to accommodate various operational and analytical requirements.

Requirements

• At least 5 years of experience as a Backend Developer.
• In-depth knowledge and experience developing APIs, microservices, and distributed systems.
• Experience working with modern data platforms and storage solutions such as Snowflake, ClickHouse, or equivalent.
•  Experience working with event streaming and queuing solutions such as Kafka, RabbitMQ, SQS, or equivalent.
• Strong proficiency with JavaScript, and knowledge of Node.js and frameworks available for it (such as Express or equivalent).
•  Understanding the nature of asynchronous programming and its quirks and workarounds.
•  Understanding fundamental design principles behind a scalable application.
•  Experience designing and implementing data ingestion, transformation, and processing workflows.
•  Implementing automated testing modules and unit tests.
•  Proficient understanding of code versioning tools, such as Git.
•  Experience with cloud services such as AWS and GCP.
•  Experience working with Linux.
• Experience with CI/CD processes

We're hiring a Cloud DevOps Engineer to build, automate, and secure our GCP-centric cloud platform in a fast-paced startup environment. You'll own CI/CD, infrastructure as code, GKE, and Airflow-based workflow orchestration, working closely with development, security, and data teams.

Must-Have Skills

• GCP — strong, hands-on production experience
• GKE / Kubernetes in production
• Apache Airflow — authoring DAGs and managing the platform
• 4+ years in DevOps / SRE / Cloud Engineering
• Terraform (IaC) required
• CI/CD tooling and best practices
• Secrets management, RBAC, and audit logging
• Scripting in Python, Bash, or PowerShell
• High level of English

Nice-to-Have

• Azure and/or AWS
• CloudFormation or Bicep

We're hiring a hands-on Senior DevOps Engineer to own Azure cloud infrastructure, CI/CD, and container platforms end-to-end. The work is deep Azure, heavy automation, production reliability, and close collaboration with global R&D teams in Israel and offshore.

What You'll Own

• Own CI/CD pipelines, build systems, and automation frameworks for fast, reliable delivery across teams.
• Build and manage Azure cloud-native infrastructure using Terraform and infrastructure-as-code practices.
• Define and maintain scalable container-based environments using Kubernetes and Docker-based deployments.
• Ensure production readiness, monitoring, reliability, and incident response in a fast-moving environment.
• Collaborate with global R&D teams in Israel and offshore partners across time zones.

Must-Have Skills

• Azure — deep hands-on: portal operations, architecture, networking, security, monitoring, automation, infrastructure-as-code
• Terraform / Infrastructure-as-Code
• CI/CD and source control: Azure DevOps, GitHub / GitHub Actions, Jenkins or equivalent — including ownership of production deployments
• Kubernetes in production
• Docker and container-based environments
• Production reliability: monitoring, incident resolution, security and compliance practices
• Linux / Windows environments, scripting, artifact management, modern DevOps toolchains
• 7+ years hands-on DevOps in cloud-native product environments, including production operations and release ownership

Nice-to-Have

• Azure IoT Hub, Service Bus, Event Hubs and related Azure platform services
• Cosmos DB, Redis, SQL Server, Azure Data Explorer (ADX)
• Podman, Conan, Artifactory
• AI-based DevOps productivity tools
• Bachelor's degree in Computer Science, Software Engineering or Information Systems (or equivalent practical experience)

What Sets You Apart

• Takes ownership end-to-end, follows through on commitments, stays accountable until issues are resolved.
• Proactive and practical, comfortable taking broad responsibility in a lean product team.
• Communicates clearly with distributed teams and builds a culture of accountability and production excellence.