Jobs at Djinni

About the project:
We are looking for an experienced Full Stack Developer to build and maintain web applications based on Java (backend) and Angular/JavaScript (frontend). You will join a team working on [product/domain description] and will be responsible for the full development cycle — from API design to UI implementation.

Responsibilities:

• Develop and maintain backend services in Java (Spring/Spring Boot)
• Develop frontend using Angular (or vanilla JS/TypeScript)
• Design and integrate REST/GraphQL APIs
• Participate in code reviews, write unit/integration tests
• Optimize application performance (backend + frontend)
• Participate in Agile/Scrum processes, task estimation
• Collaborate with DevOps/QA teams on CI/CD and releases

Requirements:

• 3+ years of commercial experience with Java (Java 8/11/17+)
• Experience with Spring Framework / Spring Boot
• Experience with Angular (2+) or modern JavaScript/TypeScript
• Knowledge of REST APIs, working with databases (SQL — PostgreSQL/MySQL, or NoSQL)
• Experience with Git, CI/CD pipelines
• Understanding of OOP principles and design patterns
• English — Upper-Intermediate+ (for client communication)

Nice to have:

• Experience with Docker/Kubernetes
• Experience with Kafka/RabbitMQ or other message brokers
• Experience with microservices architecture
• Knowledge of AWS/GCP/Azure

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

Requirements:

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

Nice-to-Have Skills:

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

Job responsibilities:

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

About Pixel Robotics / Logivations

Pixel Robotics builds next-generation autonomous mobile robots (AMRs) for dynamic warehouse environments. Our team combines modern robotics approaches with hands-on engineering — you’ll see your ideas running on real robots at our Munich headquarters and at customer sites. We work fast, learn continuously, and support each other in a friendly, international environment.

About the Role

We are looking for robotics software engineers to develop and optimize navigation and behavior systems for AMRs operating in dynamic warehouse environments. You will implement new behaviors, extend the robots' capabilities, and help build production-ready robotics solutions.

Why Join Pixel Robotics?

• Shape the future of robotics: Apply modern approaches to real robotics problems.
• Hands-on impact: See your ideas deployed on physical robots in Munich and at customer locations.
• Global exposure: Work closely with an international team of engineers and researchers.
• Fast learning environment: Grow quickly with support from experienced colleagues.

Your Responsibilities

• Implement and refine algorithms that guide AMR behavior in dynamic warehouse environments.
• Write clean, maintainable software in ROS2 using C++ and Python.
• Test your work: design small experiments, run simulations, deploy on real robots, analyze results, and iterate.
• Take ownership of submodules, participate in architecture decisions, and help guide other developers.

Requirements

• Education: Ongoing or completed Bachelor’s/Master's degree in Computer Science, Robotics, Applied Mathematics, Physics, or a related field. Students and recent graduates are very welcome.
• Coding skills in Python and C++, with focus on clean, reusable architecture are a plus.
• Solid understanding of linear algebra (vectors, linear transformations) and discrete math (path-finding algorithms such as Dijkstra, A*).
• Curious, eager to learn, and able to pick up concepts quickly.
• Intermediate English or higher (you will work with international colleagues).
• Live in Lviv or could consider relocation.

Nice to Have

• Experience with ROS2, Gazebo, or simulation tools.
• Basic understanding of control theory (localization, control loops).
• Familiarity with 3D vision, SLAM, and perception pipelines.
• Exposure to behavior trees or task-planning frameworks.
• Experience with Linux, Docker, or CI/CD pipelines.

What We Offer

• Competitive salary in euros, B2B basis.
• Flexible working hours and work schedule.
• Strong learning environment with real impact on production robots.
• Business trips to production area and office in Germany.

2ops is looking for a Client Delivery Manager to manage client relationships and coordinate the successful delivery of international IT projects.
This position partially combines the responsibilities of an Account Manager, Project Manager, and Project Coordinator. You will act as the main point of contact for clients, manage project scope, timelines, budgets, and expectations, coordinate engineers, monitor delivery progress, and support account growth.
You will work closely with Project Engineers and the Lead DevSecOps Solution Architect to ensure that projects are delivered successfully and clients remain satisfied with the results.

What You’ll Do

• Act as the main point of contact between 2ops and assigned clients.
• Build trusted, long-term relationships with client stakeholders.
• Understand client business needs, priorities, expectations, and success criteria.
• Coordinate project kickoff, planning, execution, reporting, and closure.
• Manage project scope, timelines, budgets, milestones, and deliverables.
• Ensure that responsibilities, dependencies, assumptions, and acceptance criteria are clearly defined.
• Maintain project plans, backlogs, action items, meeting notes, and delivery documentation.
• Organize client meetings, status calls, planning sessions, and follow-ups.
• Prepare clear and concise project status updates.
• Monitor engineering progress, workload, capacity, and availability.
• Coordinate priorities and ensure that Project Engineers have the information and access required to work effectively.
• Identify risks, blockers, scope changes, and delivery issues at an early stage.
• Manage organizational and commercial escalations while involving the Lead DevSecOps Solution Architect in technical escalations.
• Track changes to scope and ensure that their impact on budget and timelines is communicated and agreed upon.
• Coordinate communication between clients, engineers, architects, management, and external stakeholders.
• Monitor client satisfaction and proactively address concerns.
• Ensure that agreed deliverables meet client expectations and acceptance criteria.
• Support contract renewals, project extensions, and follow-on phases.
• Identify relevant upsell and cross-sell opportunities based on client needs.
• Support proposal preparation, resource planning, estimates, and statements of work.
• Maintain visibility of project profitability, invoicing milestones, and resource utilization.
• Coordinate project handover, documentation, knowledge transfer, and closure.
• Collect client feedback and help improve 2ops delivery processes.

Requirements

• Experience in project delivery, account management, project coordination, customer success, or a similar client-facing role within an IT company.
• Good understanding of IT consulting, software development, cloud, DevOps, cybersecurity, or managed-services environments.
• Experience managing multiple clients or projects simultaneously.
• Ability to manage scope, timelines, budgets, priorities, risks, and dependencies.
• Experience with project planning, backlog coordination, status reporting, and follow-up management.
• Strong client communication, stakeholder management, and relationship-building skills.
• Ability to coordinate technical specialists without micromanaging their work.
• Commercial awareness and an understanding of contract renewals, account growth, and service profitability.
• Ability to identify delivery risks and escalate them promptly.
• Strong organizational skills and attention to detail.
• Ability to communicate clearly with both technical and non-technical stakeholders.
• Professional English communication skills.

Nice to Have

• Experience in an IT consulting, outsourcing, cloud, DevOps, or managed-services company.
• Experience working with Azure, DevOps, cybersecurity, data, or software-development projects.
• Knowledge of Agile, Scrum, Kanban, or hybrid delivery approaches.
• Experience with Jira, Azure DevOps, Notion, Confluence, or similar tools.
• Experience preparing proposals, statements of work, estimates, or change requests.
• Experience supporting international enterprise clients.
• Project management, Agile, Scrum, or service-management certification.
• Experience with account development, upselling, and contract renewals.

What We Offer

• A client-facing role with responsibility for the full project and account lifecycle.
• International IT, cloud, DevOps, and cybersecurity projects.
• Close collaboration with experienced engineers, architects, and company leadership.
• The opportunity to influence delivery processes and client-experience standards.
• A remote and flexible working environment.
• Professional development across project delivery, account management, and IT consulting.

If you believe you’re a great fit for this role but may be missing some skills, don’t hesitate to share your CV. What matters most is your intention and personality, as the skills can be developed along the way.

About 2ops

2ops is a fast-growing company focused on empowering clients with solid DevOps practices and cloud solutions. We foster a supportive environment where collaboration, innovation, and accountability matter. Our culture is built on creating space for talent to grow, contribute meaningfully, and share in our values. At 2ops, we believe in empowering people to make an impact while growing their careers.

About the Project

The client is an AI-driven product company building an advanced intelligence platform used by enterprise, government, defense, compliance, logistics, and risk-management teams. Their product helps customers analyze complex real-world data, detect suspicious patterns, investigate risks, and automate decision-making workflows.

The role is part of a new senior AI team focused on building advanced AI workflows, multi-agent systems, LLM-powered product features, and agentic automation.

Scope of work:

• Build backend services and AI-powered product features using Python
• Design and develop LLM-based workflows, agentic systems, and multi-agent architectures
• Work with tool/function calling, RAG, memory, routing, orchestration, state management, and long-running AI workflows
• Integrate AI systems with APIs, data sources, internal services, and product workflows
• Work on evaluation, tracing, monitoring, guardrails, fallbacks, and reliability of LLM/agent outputs
• Collaborate with product, AI, data, backend, and frontend engineers
• Take ownership of architecture, implementation, and production readiness

What we are looking for

• 7+ years of software engineering experience
• Strong backend experience with Python
• Real hands-on experience building production AI / LLM / Agentic AI systems
• Experience with multi-agent workflows, tool/function calling, RAG, memory, routing, orchestration, or human-in-the-loop workflows
• Strong backend architecture, system design, APIs, cloud, and production reliability experience
• Experience with tools such as LangGraph, LangChain, CrewAI, AutoGen, Google ADK, LlamaIndex, MCP, OpenAI, Anthropic, Claude, Gemini, AWS Bedrock, LangSmith, Langfuse, or similar
• AI-first development mindset with tools like Claude Code, Cursor, Codex, Copilot, or similar

Nice to have

• Experience with frontend stack (NextJS, React.js, or similar)
• Experience with Vector DBs
• Helm is a strong plus

We are looking for a mid-level DataOps Engineer who sits at the intersection of data engineering and cloud operations. You will own the reliability, performance, and automation of our data pipelines and data platform on Azure – making sure data flows from source to consumers predictably, efficiently, and at scale. You are equally comfortable debugging a broken ADF pipeline and writing Terraform to provision a new Databricks workspace.

What You’ll Do

• Design, build, and maintain data pipelines in Azure Data Factory and Databricks
• Manage and optimise data warehouse solutions on Azure Synapse Analytics and/or Databricks Lakehouse
• Lead or support migrations between data platform technologies (e.g. Synapse to Databricks)
• Implement infrastructure-as-code for data platform resources using Terraform
• Maintain CI/CD pipelines for data workflows in Azure DevOps and GitHub
• Monitor data platform health; set up alerting, lineage tracking, and data quality checks
• Prepare FinOps and SecOps reports related to data platform usage and costs
• Containerise and deploy data services using Docker and Kubernetes where needed
• Collaborate closely with data engineers, analysts, and software developers
• Write and maintain technical documentation, runbooks, and onboarding guides

Requirements

• 2-4 years of experience in DataOps, data engineering, or cloud data platform operations
• Azure data stack: Azure Data Factory, Synapse Analytics, Databricks (hands-on, production)
• Experience with Azure Fabric & Power BI reporting
• Infrastructure-as-code: Terraform for provisioning data platform resources
• CI/CD for data: Azure DevOps pipelines, version-controlled notebooks and configs
• Scripting and automation: Python and/or PowerShell
• Containers: Docker; Kubernetes for orchestration
• SQL proficiency — querying, tuning, and troubleshooting data warehouse workloads
• Solid understanding of data warehouse concepts (ELT/ETL, partitioning, medallion architecture)
• Good understanding of English – minimum Upper-Intermediate level

Nice to Have

• Azure certifications: Microsoft Certified in Azure Data Engineer Associate (DP-203), Azure Database Administrator Associate (DP-300), or Fabric Analytics Engineer Associate (DP-600).
• Familiarity with observability tools such as Prometheus, Grafana, ELK, or Azure Monitor.
• Basic understanding of cloud security practices.

If you believe you’re a great fit for this role but may be missing some skills, don’t hesitate to share your CV. What matters most is your intention and personality, as the skills can be developed along the way.

About 2ops

2ops is a fast-growing company focused on empowering clients with solid DevOps practices and cloud solutions. We foster a supportive environment where collaboration, innovation, and accountability matter. Our culture is built on creating space for talent to grow, contribute meaningfully, and share in our values. At 2ops, we believe in empowering people to make an impact while growing their careers.

About the Role

We are seeking an experienced Senior Data Technology Consultant to join our growing Data & AI practice. This role bridges technology with business value, helping clients harness the power of data to drive transformative business results. You will play a pivotal role in crafting innovative data solutions, supporting sales efforts, and delivering exceptional value to our clients through strategic consulting and technical expertise.

Key Responsibilities

• Work closely with sales, delivery, and expert teams to align client needs with data-driven solutions, effectively connecting business challenges to our offerings
• Own the end-to-end presales process, including opportunity qualification, solution design, proposal development, demos, and client presentations
• Lead workshops and meetings with clients to gather business objectives and technical requirements, ensuring alignment between client goals and our solutions
• Architect tailored data solutions, encompassing cloud-native platforms, data integration, advanced analytics, and AI/ML models, to provide actionable business insights
• Develop competitive proposals, pricing models, and value propositions to successfully close opportunities and secure engagements
• Stay updated on emerging trends in Data & Analytics, Cloud, and AI, providing strategic advice to clients and supporting innovation within the practice
• Contribute to the development of reusable solution frameworks, accelerators, and methodologies to drive operational efficiency
• Act as a mentor and knowledge-sharer across the team, supporting skill-building and best practice dissemination

Requirements

• Extensive experience in presales, solution architecture, or consulting, with a focus on Data/AI technologies and related business use cases
• Strong technical knowledge in legacy Data Warehouse platforms (Oracle, DB2, Informatica, SSIS, etc.)
• Good experience in cloud data technologies (AWS, Azure, GCP)
• Experience in modern data platforms (Databricks, Snowflake)
• Familiarity with data science techniques and proficiency in analysis of client needs to align with technical solutions
• Excellent communication and storytelling skills—able to translate complex technical concepts into clear, client-friendly narratives
• Proven track record in engagement with senior stakeholders and delivery of impactful presentations or pitches
• Experience in creation of detailed proposals, RFP responses, and pricing/engagement models for data-related services or projects
• Understanding of strategic consulting principles and the ability to develop future-state recommendations and roadmaps for client success
• Strong organizational, leadership, and project scoping abilities, with a proven ability to manage complex tasks in a fast-paced environment
• Bachelor's or master's degree in data science, Computer Science, Business Analytics, or a related field (or equivalent professional experience)
• Excellent English communication skills, with the ability to clearly and effectively explain technical concepts to diverse audiences.

We are looking for a  Product Manager to own the casino product end-to-end -  defining where it goes, why it matters, and ensuring business metrics move in the right direction.

This role is focused on strategy, product discovery, and measurable outcomes. You will work closely with a Product Owner who manages backlog execution and delivery processes, while you remain responsible for product direction, market understanding, player behavior insights, and overall business performance.

You will own the health of the casino product, driving improvements across conversion, retention, monetization, and the overall player experience.

🎯 Responsibilities

• Own and evolve the product vision and roadmap for the casino vertical based on market research, player behavior, and competitive analysis.
• Conduct continuous product discovery through player research, behavioral analytics, transaction data, and game performance analysis.
• Build a deep understanding of player segments and identify the factors influencing user behavior and engagement.
• Monitor industry trends, competitor products, emerging technologies, and new gaming mechanics.
• Take ownership of core business KPIs, including NGR, GGR, conversion rates, retention, churn, ARPU, LTV, reactivation rates, and bonus efficiency.
• Analyze revenue drivers and identify areas where payment fees, provider costs, bonuses, or chargebacks impact profitability.
• Collaborate closely with Retention and VIP teams to improve post-deposit engagement, repeat deposits, and long-term player value.
• Define hypotheses, launch A/B tests, analyze results, and make data-driven product decisions.
• Improve critical user journeys including onboarding, KYC, deposits, withdrawals, game discovery, personalization, and bonus experiences.
• Optimize wallet, multi-currency, and crypto payment experiences in collaboration with Payments and Compliance teams.
• Translate strategic objectives into prioritized roadmaps and clearly defined product requirements.
• Coordinate with cross-functional teams to ensure successful product delivery and continuous optimization.

✅ Requirements

• 4+ years of Product Management experience within iGaming.
• Hands-on experience working with crypto casino products.
• Deep understanding of casino products, bonus mechanics, slots, live casino, player lifecycle, retention, and reactivation strategies.
• Strong analytical skills with experience working with funnels, cohorts, business metrics, and hypothesis validation.
• Ability to independently define product strategy and prioritize initiatives based on business impact.
• Strong UX mindset and proven experience reducing friction in critical user flows.
• Experience working in fast-paced environments with high ownership and autonomy.
• Practical experience with SQL or direct access to analytics and back-office systems.

🧠 Expected Mindset

• Focused on business outcomes rather than feature delivery.
• Thinks in terms of metrics, leverage, and measurable impact.
• Genuinely curious about player behavior and user motivation.
• Can challenge assumptions and adapt decisions based on data.

• Moves quickly, measures results, and continuously iterates.

   

🎁 What We Offer

• 💰 Competitive compensation package.
• ⚡ Challenging product and technical initiatives that support professional growth.
• 💼 Collaboration with a strong senior-level team.
• 🚀 Minimal bureaucracy, fast decision-making, and flexible processes.
• 🏡 Remote-first environment with the freedom to work from anywhere.
• 🎓 Investment in learning through internal knowledge sharing, external courses, and certifications.
• 🍺 Healthy work-life balance with no overtime and no micromanagement.
• 💻 Modern equipment including MacBook, Starlink, and PowerBank.
• 👶 Bonuses related to maternity leave and childbirth.
• 🔔 Additional internal benefits and perks available to team members.

ThingsBoard, Inc. is a US corporation founded in 2016, with an R&D center in Kyiv, Ukraine. We are the main contributors and maintainers of the ThingsBoard open-source IoT Platform. We deliver and continuously improve a scalable, robust, and affordable IoT Platform that significantly reduces time-to-market for life-changing IoT solutions. We also help companies build outstanding IoT products based on ThingsBoard.

We are currently looking for a Junior Python Developer who will maintain, update, and advance the company's Python-based products, including the Gateway, Python SDK, REST Client, and Micro/CircuitPython SDK. In this role, you will have the opportunity to work closely with both software and embedded concepts, driving the evolution of our IoT solutions.

What we are looking for:

• Good knowledge of Python 3.10+
• Experience with asyncio
• Experience with threading
• Solid understanding of networking (TCP, UDP, OSI, TLS/SSL)
• Experience with SQLite
• Experience with Docker
• Proficient Linux user
• Knowledge of Git + GitHub
• Knowledge and experience with HTTP + REST protocols

• Intermediate English level + readiness to join client calls if needed

   

Responsibilities:

• Participate in the development, updates, and maintenance of the company's Python-based solutions (Gateway, Python SDK, REST Client, as well as Micro/CircuitPython SDK for embedded devices).
• Analyze, handle, and resolve technical issues from users. Gradually progressing from simple tasks to independently solving complex technical problems.
• Design, propose, and independently implement new features for the IoT Gateway.
• Configure connectivity and integrate various IoT devices into the platform, working with industrial and network protocols.
• Monitor, analyze network traffic, and debug protocols using testing tools.
• Collaborate with the team to solve architectural tasks and communicate directly with English-speaking clients (written in issues and via calls when necessary).

• Actively learn the platform's internal architecture (ThingsBoard, Gateway), new IoT protocols, and embedded concepts; analyze documentation and technical sources to tackle daily challenges.

   

Nice to have:

• Experience with MicroPython / CircuitPython
• Experience with MQTT
• Experience with or knowledge of Modbus, OPC-UA protocols

• Experience with Wireshark

   

What we offer:

• Opportunity to work on an open-source IoT platform with 21k+ stars on GitHub
• Modern, cutting-edge tech stack
• A professional team with 20+ years of experience, free of bureaucracy and micoromanagement
• Career growth opportunities and regular salary reviews
• Full-time on-site position with a flexible schedule
• Medical insurance
• 17 days of paid vacation and 10 days of paid sick leave
• Free English classes
• Comfortable office with a fully stocked fridge (free drinks)
• Work format: Office in Kyiv (Podil)
   

By submitting your CV, you consent to ThingsBoard Inc collecting and processing your personal data for recruitment purposes in accordance with our Privacy Policy and ISO 27001 requirements. Your data will be retained for 12 months from the date of submission and securely deleted thereafter unless you are hired. You may withdraw consent at any time by contacting us.

We are seeking an experienced Automation QA Engineer to design, develop, and maintain scalable test automation frameworks for enterprise applications. The ideal candidate has strong expertise in Playwright and TypeScript, a quality-first mindset, and experience integrating automated testing into modern CI/CD pipelines. You will work closely with developers, product managers, and DevOps engineers to ensure the delivery of high-quality, reliable software at scale.

Key Responsibilities

• Design, develop, and maintain scalable, reusable, and maintainable test automation frameworks using Playwright and TypeScript.
• Build end-to-end, integration, API, and regression test suites for enterprise-grade web applications.
• Create robust automation architecture following industry best practices, design patterns, and coding standards.
• Integrate automated test suites into CI/CD pipelines to enable continuous quality assurance.
• Collaborate with software engineers during feature development to define test strategies and acceptance criteria.
• Implement reliable test reporting, logging, screenshots, video capture, and failure diagnostics.
• Develop reusable utilities, page object models, fixtures, custom reporters, and helper libraries.
• Identify automation opportunities and continuously improve test coverage, execution speed, and framework stability.
• Perform root cause analysis of test failures and distinguish between product defects and automation issues.
• Execute cross-browser and cross-platform testing using Playwright.
• Contribute to code reviews and promote automation best practices across engineering teams.
• Monitor test execution metrics and provide quality insights to stakeholders.
• Mentor junior QA engineers and help establish enterprise automation standards.

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.
• 5+ years of experience in Software Quality Assurance.
• 3+ years of experience building automation frameworks using Playwright.
• Strong proficiency in TypeScript and modern JavaScript.
• Experience designing automation frameworks from the ground up.
• Strong understanding of Page Object Model (POM), fixtures, test data management, and design patterns.
• Experience testing REST APIs using Playwright or related tools.
• Hands-on experience with Git and modern version control workflows.
• Experience integrating automated testing into CI/CD platforms such as GitHub Actions, Azure DevOps, GitLab CI, or Jenkins.
• Strong understanding of Agile and Scrum methodologies.
• Experience with SQL and database validation.
• Excellent debugging, troubleshooting, and analytical skills.
• Strong communication and collaboration skills.

Preferred Qualifications

• Experience testing microservices and distributed systems.
• Experience with Docker and containerized test execution.
• Familiarity with cloud platforms such as Azure, AWS, or Google Cloud.
• Experience with performance, accessibility, and visual regression testing.
• Knowledge of security testing fundamentals.
• Experience with BDD frameworks such as Cucumber.
• Experience working in large enterprise software environments.

Level: Senior 

Engagement: Long-term contract 

Location: Europe (EU / EEA / UK), remote 

Working hours: EU business hours, shifted 2–3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings

About the Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Senior SDET to lead the design of automated test frameworks and testing strategy for a large-scale distributed data platform. You will own the quality of the query engine, connectivity layer, and backend services end-to-end — from framework architecture through CI/CD infrastructure across all major clouds — and mentor middle engineers on the team.

This is a data-heavy, backend-focused role. We are not looking for web/UI QA engineers — the work centers on validating distributed query execution, data correctness at scale, connectivity drivers, and backend microservices.

Responsibilities

• Architect, design, and evolve automated test frameworks in Python / pytest for backend services, REST APIs, and distributed data components.
• Define testing strategy for new features and platform components — coverage, risk assessment, and quality gates.
• Own end-to-end, integration, performance, and regression testing covering SQL query execution, data correctness at scale, and platform APIs.
• Lead performance and load testing efforts with JMeter, including workloads over JDBC / ODBC / Arrow Flight drivers.
• Design and validate large-scale data testing scenarios — query plans, result correctness across heterogeneous data sources, metadata consistency, and behavior under high concurrency.
• Own CI/CD test pipelines in Jenkins — architect, maintain, and continuously improve.
• Provision and manage test environments in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker; drive automation and reproducibility.
• Investigate complex, cross-layer failures and drive root-cause analysis with engineering.
• Mentor middle SDETs, review test designs, and set quality standards across the team.
• Partner with US-based development leads on shift-left practices, testability, and release readiness.
•  

Required Qualifications

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Python, including pytest, with deep understanding of OOP, software design principles, and test framework architecture.
• SQL & Data: Advanced SQL skills and strong understanding of relational and analytical data systems, including query execution internals.
• Data-intensive testing experience: Demonstrated experience testing data-intensive systems — query engines, ETL/ELT pipelines, streaming platforms, or analytical databases. Candidates with only web/UI QA backgrounds are not a fit.
• Testing experience: 5+ years in backend/system test automation, with demonstrated ownership of test strategy and infrastructure.
• CI/CD & DevOps: Solid experience architecting and maintaining Jenkins pipelines and test environments.
• Containers & Orchestration: Strong working knowledge of Docker and Kubernetes (running workloads, debugging pods, deploying complex environments).
• Cloud: Hands-on experience with at least one major cloud (GCP, AWS, or Azure); exposure to more than one is a strong plus.
• Version Control: Confident with Git / GitHub workflows and code review practices.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.
• Leadership: Prior experience mentoring engineers, defining test strategy, or leading a QA/SDET function.
•  

Desired Skills

• Deep experience testing REST APIs and backend microservices at scale.
• Hands-on with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Strong understanding of modern data lakehouse concepts, open table formats (Apache Iceberg), and data warehousing.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Performance testing with JMeter or comparable load-testing tools at production scale.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Deep understanding of query plan generation, query acceleration / materializations, and metadata integrity in distributed data systems.
• Prior experience leading a QA/SDET function in a data-platform or database engineering environment.

Project Overview:

We’re looking for a proactive Automation QA Engineer who enjoys building scalable test automation, improving quality processes, and leveraging AI tools to maximize productivity.

You will join an innovative AI-first product company developing cutting-edge computer vision solutions for property inspections and insurance claims. The engineering team delivers features at a very high pace using AI-assisted software development, making automation testing a critical part of the SDLC.
 

Customer Overview:

Our client is a US-based AI company headquartered in San Diego that develops computer vision and AI-powered solutions for the moving and property insurance industries. Their platform analyzes smartphone photos and videos to automatically generate 3D models, property inventories, floor plans, measurements, and damage assessments, helping insurance companies and moving providers automate inspections and claims. The company builds much of its AI stack in-house, including computer vision, deep learning, and AI-powered automation.
 

Responsibilities:

• Design, develop, and maintain automated UI and API test suites using Playwright.
• Create reliable end-to-end regression and smoke test suites.
• Work closely with software engineers, product managers, and designers throughout the development lifecycle.
• Participate in sprint planning, backlog refinement, and release validation.
• Analyze failures and identify root causes of issues.
• Continuously improve test coverage, reliability, and execution speed.
• Integrate automated tests into CI/CD pipelines.
• Review requirements and identify test scenarios early in development.
• Validate AI-powered product functionality, including complex UI workflows and data accuracy.
• Contribute to test strategy and quality engineering best practices.
   

Skills/Requirements:

• AI-Driven Quality Engineering
• The ideal candidate actively uses AI to increase engineering productivity.

Expected experience includes:

• Daily use of AI coding assistants such as Claude Code, Cursor, GitHub Copilot, ChatGPT, or similar tools.
• Generating Playwright test cases with AI.
• Creating page objects and test data using AI.
• AI-assisted debugging and root cause analysis.
• Test scenario generation from requirements.
• Test documentation generation.
• Log analysis using AI.
• Refactoring and optimizing automation frameworks with AI.
• Using AI to reduce repetitive manual work while maintaining high quality standards.

We are looking for engineers who embrace AI as part of their everyday workflow rather than treating it as an experimental tool.

Required Skills

• 2+ years of QA Automation experience.
• Strong experience with Playwright.
• Solid knowledge of JavaScript or TypeScript.
• Experience testing modern web applications.
• Understanding of REST APIs and API testing.
• Experience with Git.
• Experience with CI/CD (GitHub Actions, Jenkins, Azure DevOps, or similar).
• Understanding of software testing methodologies and SDLC.
• Strong analytical and troubleshooting skills.
• Upper-Intermediate English or higher.

Level: Middle 

Engagement: Long-term contract

Location: Europe (EU / EEA / UK), remote 

Working hours: EU business hours, shifted 2–3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings

About the Client

Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an AI-ready semantic layer, and an open catalog built on Apache Iceberg — enabling Fortune 500 companies across finance, energy, manufacturing, and logistics to unify, query, and govern data at massive scale across cloud and on-premise sources.

About the Role

We are looking for a Middle-level SDET to design and maintain automated tests for a large-scale distributed data platform. You will validate the correctness, performance, and reliability of the query engine, connectivity layer, and backend services across all major clouds.

This is a data-heavy, backend-focused role. We are not looking for web/UI QA engineers — the work centers on validating distributed query execution, data correctness at scale, connectivity drivers, and backend microservices.

Responsibilities

• Develop and maintain automated tests in Python / pytest for backend services, REST APIs, and distributed data components.
• Write end-to-end, integration, and regression tests covering SQL query execution, data correctness, and platform APIs.
• Support performance and load testing with JMeter, including workloads over JDBC / ODBC / Arrow Flight drivers.
• Validate data-intensive scenarios — query plans, result correctness across data sources, metadata consistency, and behavior under concurrency.
• Contribute to CI/CD test pipelines in Jenkins — configure, maintain, and troubleshoot.
• Provision and manage test environments in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker.
• Investigate failures across the stack — query engine, distributed services, drivers, infrastructure — and drive them to resolution with engineering.
• Collaborate with US-based developers on testability and quality gates.
•  

Required Qualifications

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Python, including pytest, with a solid grasp of OOP and software design principles.
• SQL & Data: Strong SQL skills and solid understanding of how relational and analytical data systems work.
• Data-intensive testing experience: Hands-on experience testing data-intensive systems — query engines, ETL/ELT pipelines, streaming platforms, or analytical databases. Candidates with only web/UI QA backgrounds are not a fit.
• Testing experience: 3+ years in backend/system test automation or SDET roles.
• CI/CD & DevOps basics: Practical experience with Jenkins pipelines and deploying/maintaining test environments.
• Containers: Working knowledge of Docker and basic Kubernetes (running workloads, debugging pods, kubectl fluency).
• Cloud: Comfortable operating in at least one major cloud (GCP, AWS, or Azure).
• Version Control: Confident with Git / GitHub workflows.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.
•  

Desired Skills

• Experience testing REST APIs and backend microservices at scale.
• Familiarity with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Understanding of modern data lakehouse concepts, open table formats (Apache Iceberg), and data warehousing.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Performance testing with JMeter or comparable load-testing tools.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Understanding of query plan generation, query acceleration / materializations, and metadata integrity in distributed data systems.

Project Overview:

We are looking for a Senior Full Stack Developer (50/50 frontend/backend) to join our team and help build a greenfield product: Gifting. Gifting enables brands to seamlessly send products to creators, manage fulfillment, and track outcomes—powering the next generation of creator commerce.

This is a high-impact role where you’ll work across the entire stack to design and build scalable systems from the ground up. You’ll partner closely with product and design to define the architecture, ship quickly, and iterate on a brand-new experience.

Customer Overview:

Our client is a leading enterprise influencer marketing platform trusted by global brands to discover, manage, and measure creator marketing campaigns at scale. The platform provides end-to-end solutions for influencer discovery, campaign management, content tracking, analytics, reporting, and ROI measurement, helping some of the world’s largest consumer brands optimize their creator marketing programs through data-driven insights and automatio

Technology stack:

Frontend: React, TypeScript, JoyUI/MUI

Backend: Python (Django), Node.js (TypeScript)

Infrastructure: AWS (Lambda, EC2)

Responsibilities:

• Own features end-to-endacross frontend and backend (true 50/50 contribution)
• Help design and build a greenfield prod uct, contributing to architecture and technicaldirection from day one
• Develop scalable APIs and services using Django and Node.js
• Build intuitive, performant UIs using React and modern component libraries
• Collaborate with product and design to translate requirements into technical solutions
• Ensure clean system design, maintainability, and scalability across the stack
• Implement robust testing strategies(unit, integration, and API testing)
• Optimize application performance and reliability
• Participate in code reviews and contribute to engineering best practices
• Work closely with other engineers to ensure seamless frontend-backend integration

Skills/Requirements:

• 5+ years of full stack development experience with meaningful contributions to both frontend and backend systems
• React + TypeScript
• Backend development (Node.js and/or Python/Django)
• Proven ability to build and scale systems from scratch (greenfield experience
• strongly preferred)
• Solid understanding of API design, data modeling, and system architecture
• Experience building responsive, high-quality user interfaces
• Familiarity with testing frameworksand writing reliable, maintainable tests
• Experience working with cloud infrastructure (AWS preferred)
• Strong proficiency with Git and modern development workflows
• Comfortable working in a fast-paced, ambiguous environmentwith high ownership

Nice to Have

• Experience with creator economy, e-commerce, or logistics/fulfillment systems
• Familiarity with event-driven architectures or async processing
• Experience integrating with third-party platforms (e.g., Shopify, shipping providers)

What We’re Looking For

• An engineer who enjoys owning problems end-to-end, not just tickets
• Someone comfortable navigating both frontend and backend complexity equally
• A builder who thrives in 0 → 1 environments and can help shape the product and system as it evolves

We are looking for a skilled Middle Software Engineer who can independently design, build, and maintain full-stack web applications. The candidate is expected to write clean, maintainable code, collaborate effectively with the team, and take ownership of feature delivery from backend API design through to polished UI implementation.

Backend Requirements

Core Technologies

• PHP 8.1 — modern syntax, named args, enums, fibers
• PostgreSQL — complex queries, indexes, migrations
• Laravel 10 — routing, middleware, service providers
• RESTful API design — resources, status codes, versioning
• Eloquent ORM — relationships, scopes, eager loading
• Laravel Sanctum — SPA/token auth, CSRF protection

Expected Competencies

• Design and implement RESTful APIs following resource-based conventions
• Write and optimize Eloquent queries; avoid N+1 problems with eager loading
• Implement authentication and authorization using Sanctum and Laravel policies
• Manage database schema with Laravel migrations and seeders
• Use service classes, repositories, and dependency injection for clean architecture
• Write unit and feature tests with PHPUnit / Pest
• Work with queues and background jobs for async processing

Frontend Requirements

• Vue.js 3 — Composition API, script setup, reactivity
• SCSS/SASS — variables, mixins, BEM methodology
• Vuetify 3 — component library, theming, grid
• JavaScript ES6+ — async/await, modules, destructuring
• Pinia (Vue.js) — state management (preferred)
• Vite — build tooling, HMR, environment config
• Vuex — legacy state management knowledge
• WebSockets — real-time features (nice to have)
• Axios — HTTP client, interceptors, error handling
• yarn — package management, scripts, workspaces

Expected Competencies

• Build reactive, component-based UIs using Vue 3 Composition API
• Compose complex layouts and responsive interfaces with Vuetify 3 components
• Manage application state with Pinia; understand Vuex for legacy codebases
• Integrate REST APIs using Axios with proper error handling and loading states
• Write modular SCSS with variables, mixins, and BEM-style class naming
• Configure and optimize builds with Vite; understand environment variables
• Implement WebSocket connections for real-time features (chat, notifications) — desirable

DevOps & Infrastructure

• Git — branching strategy, rebasing, conflict resolution
• Docker — Dockerfile, docker-compose, multi-service setup
• GitHub — PRs, code review, Actions (CI/CD basics)
• Environment management — .env, secrets, staging vs prod

Expected Competencies

• Follow Git Flow or trunk-based branching; write descriptive commit messages
• Participate in code reviews on GitHub; address and give constructive feedback
• Run and configure multi-container apps with docker-compose
• Understand containerization concepts for consistent dev/staging environments

Code Quality

• Writes readable, self-documenting code
• Follows SOLID and DRY principles
• Performs code reviews with constructive feedback
• Maintains consistent code style (PSR-12, ESLint)

Collaboration

• Communicates blockers and estimates clearly
• Contributes to technical discussions and planning
• Mentors junior developers when needed
• Documents APIs, decisions, and complex logic

Problem Solving

• Debugs issues independently before escalating
• Breaks down complex tasks into deliverable chunks
• Considers performance and scalability implications
• Proposes solutions, not just problems

Ownership

• Takes full responsibility for assigned features
• Proactively identifies technical debt
• Participates in sprint planning and retrospectives
• Keeps PRs small, focused, and reviewable

Nice to Have

• WebSocket experience (Laravel Echo, Pusher, Socket.io)
• Familiarity with testing: PHPUnit, Pest, Vitest
• Redis — caching, sessions, queues
• TypeScript basics
• Experience with API documentation (Swagger/OpenAPI)
• Experience with Inertia.js or similar SSR adapters
• Basic CI/CD knowledge (GitHub Actions, pipelines)
• Understanding of software design patterns