Jobs at Djinni

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 Software Engineer to work on the core query engine of a large-scale distributed data platform. You will develop features across query planning, optimization, and execution, contribute to performance-critical components, and help evolve the platform's ability to process massive analytical workloads across heterogeneous data sources.

This is a systems-level, backend engineering role focused on distributed data processing internals — not application development or CRUD services.

Responsibilities

• Develop and maintain features across the query engine — planning, optimization, execution, and data access layers.
• Write high-quality, performance-conscious code in Java and/or C++.
• Work with SQL semantics, query plans, and execution operators over large-scale distributed data.
• Integrate with columnar formats, open table formats, and connectivity drivers used across the platform.
• Contribute to CI/CD pipelines and automated testing — participate in build, test, and release workflows in Jenkins.
• Deploy and validate work in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker.
• Debug complex issues spanning query planning, distributed execution, memory management, and I/O.
• Collaborate closely with US-based engineering teams on design reviews, code reviews, and technical decisions.

Required Qualifications

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Java or C++, with solid OOP and software design fundamentals. Candidates comfortable with both are especially valued.
• SQL & Data: Strong SQL skills and solid understanding of relational and analytical data systems, including query execution concepts.
• Data processing systems experience: Hands-on experience with data processing systems — query engines, distributed databases, ETL/ELT frameworks, or analytical platforms.
• Engineering experience: 3+ years in backend/systems software engineering.
• CI/CD & DevOps basics: Practical experience with Jenkins pipelines and modern development workflows.
• 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 with Apache Arrow (columnar in-memory format).
• Familiarity with Apache Calcite (SQL parsing, planning, optimization framework).
• Exposure to Gandiva or LLVM-based expression compilation.
• Experience with open table formats — Apache Iceberg, Delta Lake, or Hudi.
• Familiarity with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Understanding of query planning, optimization, and execution internals.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Experience with performance profiling and optimization of latency-sensitive systems.
  Please note: We can consider only candidates currently residing in the EU, EEA, or the UK.
  Please note: We can consider only candidates currently residing in the EU, EEA, or the UK

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 Software Engineer to design, build, and own significant components of the core query engine of a large-scale distributed data platform. You will lead work across query planning, optimization, and execution — driving architectural decisions, mentoring middle engineers, and pushing the platform's performance and scalability boundaries across all major clouds.

This is a systems-level, backend engineering role focused on distributed data processing internals — not application development or CRUD services.

Responsibilities

• Architect, design, and implement significant components of the query engine — planner, optimizer, execution operators, memory management, and data access layers.
• Write and review high-quality, performance-critical code in Java and/or C++.
• Own end-to-end delivery of features from technical design through production rollout.
• Drive performance optimization work — profiling, benchmarking, and eliminating bottlenecks in latency- and throughput-sensitive paths.
• Integrate deeply with columnar formats, open table formats, and connectivity drivers.
• Mentor middle engineers, lead code reviews, and set technical standards for the team.
• Contribute to CI/CD architecture and quality processes across Jenkins, containerization, and multi-cloud deployment (GCP, AWS, Azure via Kubernetes / Docker).
• Debug complex, cross-layer issues spanning query planning, distributed execution, memory management, and I/O.
• Partner with US-based engineering leads on design reviews, architectural decisions, and roadmap execution.

Required Qualifications

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Java or C++, with deep understanding of OOP, systems design, memory management, and concurrency. Candidates strong in both are especially valued.
• SQL & Data: Advanced SQL skills and strong understanding of query execution internals — planning, optimization, and operator implementation.
• Data processing systems experience: Demonstrated experience building or extending data processing systems — query engines, distributed databases, ETL/ELT frameworks, or analytical platforms.
• Engineering experience: 5+ years in backend/systems software engineering, with a track record of owning significant components.
• CI/CD & DevOps: Solid experience with Jenkins and modern engineering workflows.
• Containers & Orchestration: Strong working knowledge of Docker and Kubernetes.
• 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 rigorous 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, leading technical designs, or owning components end-to-end.

Desired Skills

• Deep experience with Apache Arrow (columnar in-memory format).
• Hands-on experience with Apache Calcite (SQL parsing, planning, optimization framework).
• Experience with Gandiva or LLVM-based expression compilation and code generation.
• Experience with open table formats — Apache Iceberg, Delta Lake, or Hudi.
• Deep familiarity with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Deep understanding of query planning, optimization (cost-based, rule-based), and execution internals.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Track record of performance optimization at the systems level — profiling, vectorization, cache/memory-conscious design.
• Prior experience contributing to open-source data infrastructure projects.
  Please note: We can consider only candidates currently residing in the EU, EEA, or the UK

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.
  Please note: We can consider only candidates currently residing in the EU, EEA, or the UK

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.
  Please note: We can consider only candidates currently residing in the EU, EEA, or the UK.

About Our 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 Software Engineer for the data catalog and enterprise data management layer of a large-scale lakehouse platform — the services that automate data ingestion and autonomously optimize Apache Iceberg tables. You will own features through the full development cycle, from design through deployment, in a multithreaded, distributed environment where scalability, performance, and always-on availability are the baseline expectations.

This is a systems-level, backend engineering role focused on data infrastructure internals — not application development or CRUD services.

Responsibilities

• Own the full software development cycle — inception, design, development, testing, deployment — for catalog and data-management services
• Build and operate services for automated ingestion and autonomous optimization of Apache Iceberg tables
• Reason about concurrency and parallelization to deliver scalability and performance in multithreaded, distributed systems
• Drive performance tuning and system-efficiency improvements
• Work with Apache Foundation open-source projects, contributing upstream where agreed
• Participate in code and design reviews, upholding a high engineering bar
• Collaborate with product managers, support teams, and solution architects on feature requests and design updates
• Partner with US-based engineering leads on technical decisions

Required Qualifications

• B.S., M.S., or PhD in Computer Science or a related field
• 5+ years of software engineering experience, preferably focused on database systems or related fields
• Strong object-oriented programming skills in Java or C++
• Solid grounding in data structures and algorithms
• Hands-on experience with multithreaded and asynchronous programming patterns for scalable, performant systems
• A passion for engineering quality — zero-downtime upgrades, availability, resiliency, and uptime as first-class concerns
• Comfort with a fast-moving environment; strong ownership; the confidence to defend a technical position and the openness to be mentored
• Comfortable with AI-assisted development workflows — using modern AI tools productively while critically validating their output
• English Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team
• Availability to work EU business hours shifted 2–3 hours later for daily overlap with US West Coast mornings

Desired Skills

• Database internals and query planning
• Distributed systems: concurrency control, data replication, storage systems
• Apache Iceberg or other open table formats (Delta Lake, Hudi)
• Messaging systems: Kafka, NATS, or cloud pub/sub services
• Contributions to open-source data infrastructure (Apache projects especially valued)

Details

• Engagement: Long-term contract
• Location: Europe (EU / EEA / UK), remote
• Working hours: EU business hours, shifted 2–3 hours later for daily overlap with the US West Coast team

About Our 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 Software Engineer to build and operate production AI agent and search services on top of a large-scale data platform. This is hands-on work at the intersection of distributed backend engineering and applied AI: multi-agent workflows, tool-execution infrastructure, retrieval and relevance, and integrations with multiple LLM providers — all running as real, customer-facing production services with the reliability expectations that implies.

Responsibilities

• Design and implement scalable multi-agent workflows (including conversation state), tool-execution infrastructure, and data-aware tools working with catalogs, schemas, lineage, SQL, jobs, semantic metadata, data preparation, and visualizations
• Build search and retrieval capabilities with OpenSearch or equivalent — indexing, relevance tuning, hybrid keyword + vector search
• Integrate multiple LLM/model providers with secure configuration and graceful degradation
• Develop APIs and event contracts across REST, streaming/SSE, gRPC, protobuf, and SDKs, including UI integrations
• Operate, monitor, and improve production services — service health, logs, metrics, traces, search-cluster health, latency, and error rates; participate in the team's production-support model
• Investigate incidents, drive root-cause analysis, and ship durable fixes
• Design for permissions, tool approvals, multi-tenancy, and customer-data governance
• Maintain dependencies, apply security fixes, and reduce tech debt; produce designs, tests, runbooks, and documentation; lead technical discussions and review code

Required Qualifications

• B.S. or M.S. in Computer Science, Computer Engineering, or a related field — or equivalent practical experience
• 7+ years of relevant experience, or equivalent demonstrated senior-level impact
• Strong Java software engineering skills
• Strong grasp of concurrency, data structures, API design, testing, maintainability, and backward compatibility
• Solid background in distributed systems, microservices, cloud services, or data-intensive backends
• Hands-on experience with search technologies — OpenSearch, Elasticsearch, or Lucene — including vector search, embeddings, or relevance systems
• Experience building LLM applications, agent/tool workflows, RAG systems, or model-provider integrations
• Strong production instincts: diagnosing failures via logs, metrics, and traces; designing for fault tolerance, retries, cancellation, and recovery
• SQL and familiarity with data platform concepts: catalogs, metadata, schemas, governance, lineage
• Comfort leading ambiguous, cross-service work with clear stakeholder communication and strong written documentation
• Comfortable with AI-assisted development workflows — using modern AI tools productively while critically validating their output
• English Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team
• Availability to work EU business hours shifted 2–3 hours later for daily overlap with US West Coast mornings

Desired Skills

• LangChain4j or similar agent frameworks
• Python for AI services, evaluation harnesses, or sandboxed execution
• React and TypeScript
• gRPC, protobuf, Quarkus, Kubernetes, MongoDB, KV stores, event-driven architectures
• Apache Arrow, Apache Iceberg, OpenLineage, semantic layers, or data-governance systems
• AI quality evaluation: LLM-as-judge, model benchmarking, production AI metrics
• OpenSearch operations: index lifecycle management, relevance tuning, incident response
• Open-source contributions

Details

• Engagement: Long-term contract
• Location: Europe (EU / EEA / UK), remote
• Working hours: EU business hours, shifted 2–3 hours later for daily overlap with the US West Coast team

Наш клієнт — міжнародна маркетингова компанія, яка стрімко масштабується та займає провідну позицію в індустрії iGaming, з особливою увагою до ринку Азії.

Від глибоких досліджень ринку та розробки стратегії до результативних діджитал-кампаній і сміливих креативів — команда охоплює повний цикл маркетингу, допомагаючи клієнтам випереджати конкурентів в одній із найдинамічніших галузей світу.

Ідеально для тих, хто прагне:

• Здійснювати нагляд за проєктами та регулярними процесами, забезпечуючи ефективне планування, виконання, узгодженість дій стейкхолдерів і управління ризиками;
• Визначати пріоритети, забезпечувати чіткий розподіл відповідальності та підтримувати проєктних менеджерів (PM) у реалізації високопродуктивних ініціатив;
• Аналізувати процеси в межах бізнес-підрозділу для виявлення «вузьких місць», неефективностей і зон для покращення;
• Ефективно використовувати Jira, Confluence, електронні таблиці, зведені таблиці (pivot tables) та інші інструменти для структурування, моніторингу й оптимізації операційних процесів;
• Розробляти, впроваджувати та постійно оптимізувати масштабовані процеси, робочі процеси, SLA та операційні стандарти;
• Встановлювати й відстежувати відповідні KPI, використовувати дані для прийняття рішень і розстановки пріоритетів;
• Виявляти можливості для автоматизації, оптимізації інструментів і зменшення частки ручної роботи;
• Очолювати крос-функціональні ініціативи, спрямовані на підвищення операційної ефективності та підтримку ефективного масштабування;
• Сприяти розвитку культури відповідальності, проактивності, підзвітності та постійного вдосконалення в команді проектних менеджерів.

Досвід, який стане твоєю перевагою:

• 3+ роки досвіду у сфері Operations, Business Operations або в аналогічному середовищі з швидким темпом розвитку;
• Успішний досвід управління, менторства чи розвитку проєктних менеджерів;
• Досвід керівництва великомасштабними проєктами в продуктовій компанії (досвід у сфері iGaming буде значною перевагою);
• Досвід оптимізації та автоматизації процесів, а також реалізації ініціатив із підвищення операційної ефективності;

• Володіння англійською мовою на рівні Upper-Intermediate (впевнені навички письмової та усної комунікації).

   

Ми цінуємо:

• Сильне лідерство та менторство: вміння навчати (коучити) проєктних менеджерів, сприяти їхньому професійному зростанню та формувати високоефективні команди;
• Критичне мислення та вирішення проблем: аналітичний склад розуму та структурований підхід до усунення складних операційних «вузьких місць»;

• Прийняття рішень: вміння приймати рішення на основі даних із високим рівнем особистої відповідальності.

   

Наші клієнти пропонують конкурентні переваги для підтримки вашого професійного та особистого зростання, зокрема:

• Орієнтація на здоров’я та добробут;
• Глобальне медичне страхування;
• Можливості для зростання;
• Програми бенефітів (компенсація спорту / стоматології / психолога тощо);
• Бонуси за досягнення результатів;
• Динамічне робоче середовище.

Долучайся — і нехай твоя історія зростання розпочнеться.

English version:

Our client, a fast-scaling international marketing company, is a major player in the iGaming industry, with a dedicated focus on expanding operations across Asia. From deep market research and business strategy to performance-driven digital campaigns and bold creatives, the team manages the entire marketing lifecycle to help clients stay ahead in one of the world’s most competitive industries.

Perfect for those who aim to:

• Oversee projects and regular processes, ensuring effective planning, execution, stakeholder alignment, and risk management;
• Set priorities, ensure clear ownership and support PMs in delivering high-impact initiatives;
• Analyze processes across business unit to identify bottlenecks, inefficiencies, and areas for improvement;
• Effective use Jira, Confluence, spreadsheets, pivot tables and other tools to structure, monitor and optimize operational processes;
• Design, implement, and continuously optimize scalable processes, workflows, SLA and operational standards;
• Establish and monitor relevant KPIs and use data to support decision-making and prioritization;
• Identify opportunities for automation, tool optimization and reduction of manual work;
• Drive cross-functional initiatives aimed at improving operational efficiency and support in scaling effectively.

• Drive a culture of ownership, proactivity, accountability and continuous improvement within the PM team.

   

Experience you’ll need to bring:

• 3+ years of experience in Operations, Business Operations, or similar fast-paced environments;
• Proven track record of managing, mentoring, or developing Project Managers;
• Experience in leading large-scale projects within product companies (iGaming experience is a strong plus);
• Experience with process optimization, automation and operational excellence initiatives;

• Upper-Intermediate English proficiency (strong written and verbal communication skills).

   

It’s a perfect match if you have those personal features:

• Strong Leadership & Mentorship: Ability to coach Project Managers, foster growth, and build high-performing teams;
• Critical Thinking & Problem-Solving: Analytical mindset with a structured approach to solving complex operational bottlenecks;

• Decision-Making: Data-informed decision-making with a high degree of personal accountability. 

   

Our clients offer competitive benefits to support your professional and personal growth, including:

• Health & Wellness Focus;
• Global Medical Coverage;
• Growth Opportunities;
• Benefits Programs (compensation for the gym/stomatology/psychological service & etc.);
• Performance-Driven Rewards;
• Dynamic Work Environment.

Apply, and let your growth journey begin.

About Our 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 Software Engineer for the connectivity stack of a large-scale data platform. The work spans three areas:

• Client connectivity — drivers and client libraries used by applications and BI tools
• Source connectivity — connectors to databases and data systems, including authentication, metadata discovery, and query/data pushdown, with certification and upgrade support
• Agent & service connectivity — tool interfaces and integrations for AI-agent access to the platform

Deep expertise in one of these areas is enough — you'll grow into the adjacent ones over time. This is a role for an engineer who cares about API and protocol stability, backward compatibility, and interoperability with the tools enterprises actually use. You will lead the design and delivery of substantial components, working within an established architecture alongside US-based engineering reviewers.

This is a systems-level, backend engineering role focused on drivers, protocols, and distributed services — not application development or CRUD services.

Responsibilities

• Lead the design and delivery of connectivity components — client drivers, source connectors, and service integrations — turning ambiguous initiatives into well-scoped, reviewable milestones
• Produce technical designs, explain architectural trade-offs, and surface compatibility, security, and delivery risks early
• Maintain backward compatibility and API/protocol stability; build compatibility, interoperability, and performance test suites
• Develop and maintain connectors for major BI tools, collaborating with the technology partners behind them
• Diagnose complex client/server, protocol, and distributed-system failures; drive root-cause analysis of customer-reported and escaped defects
• Improve diagnostics, logging, observability, and supportability of the connectivity stack
• Contribute upstream to open-source projects (e.g., Apache Arrow) where agreed
• Mentor engineers, participate in code and design reviews, and communicate progress and risks clearly across a distributed team

Required Qualifications

• B.S. or M.S. in Computer Science, Computer Engineering, or a related field — or equivalent practical experience
• 8+ years of production software engineering experience
• Deep proficiency in Java or C++, and the ability to work effectively in another systems/services language
• Experience designing and debugging APIs, protocols, client libraries, or distributed services
• Strong fundamentals: data structures, concurrency, asynchronous programming, networking, and failure handling
• A track record of comprehensive testing — unit, integration, compatibility, and performance
• Experience with production CI/CD, release processes, and engineering quality controls
• Working knowledge of SQL
• Comfortable with AI-assisted development workflows — using modern AI tools productively while critically validating their output
• Clear written and verbal communication in a distributed engineering environment; English Upper-Intermediate or higher (B2+)
• Availability to work EU business hours shifted 2–3 hours later for daily overlap with US West Coast mornings

Desired Skills

• JDBC, ODBC, ADBC, or database-driver development experience
• Apache Arrow (including Arrow Flight)
• SQL engines, databases, or data platforms
• Source-connector development for databases, warehouses, or SaaS systems
• MCP or agent-tool integrations
• OAuth, OIDC, TLS, and enterprise authentication flows
• Cross-platform native build, packaging, and release experience
• BI-tool interoperability (Power BI, Tableau) and partner collaboration
• Observability and production diagnostics
• Open-source contribution experience

Details

• Engagement: Long-term contract
• Location: Europe (EU / EEA / UK), remote
• Working hours: EU business hours, shifted 2–3 hours later for daily overlap with the US West Coast team

Project description

Our client is a Swiss leader in online trading, serving over 500,000 clients who can trade more than 3 million products through highly performant and secure platforms. In addition to various online trading products, including stocks, bonds, funds, derivative products, and cryptocurrencies, we also offer Forex, Robo-Advisory, and Mortgage solutions.

Since 2012, we have developed innovative and cutting-edge digital solutions that help customers achieve their investment goals. Our solutions are continuously evolving, transitioning into atomic microservices and self-contained systems.

Your mission is to deliver high-quality and human-centered design concepts and collaborate with your team and other stakeholders to provide the best solutions on time.

Responsibilities

Identify and realise user personas, user flow, and user journeys

Produce complete wireframes and prototypes

Provide intuitive and modern digital interfaces

Deliver daily UI tasks respecting the timing

Use & support the current Design System

Support and propose documentation for components and design patterns

Demonstrate communication skills and articulate your design decisions to the stakeholders

Collaborate with other designers to maintain design consistency

Skills

Must have

5+ years of experience in web and UX design, with experience in the finance, banking, or insurance sectors.

Knowledge of Atomic Design

Experience with a Design System

Strong English skills are mandatory for client communication

Proficiency in Figma, including team libraries, auto layout, component properties, branching, and variables

Good understanding of user personas and user flows

Ability to demonstrate a portfolio showcasing UX and UI design work, including the process behind it

Flexible and client-oriented mindset

Continuously staying up to date with the latest UX/UI trends

A team player who enjoys working, interacting, and learning with a remote team of professionals

Highly organised, autonomous, and detail-oriented

Nice to have

Knowledge of HTML & CSS & Creative suite is a plus

UI animation is a plus

Our requirements:

• Fluent/Advanced English (MUST!) 

• Ability to work night shifts (6 possible schedules: 15:00 – 00.00; 16:00 – 01.00; 17:00 – 02.00; 18:00 – 03.00; 19:00 – 04.00; 21:00 – 06.00 Kyiv time)

• Confident PC user with solid knowledge of Microsoft Windows

• Technical background or strong interest in exploring software and hardware products

• Strong organizational, training, and time-management skills

• Excellent communication and active listening abilities

• Understanding of conflict resolution

• Empathy, positive attitude and self-control

Nice to Have:

• Previous experience in customer or technical support

• IT education or relevant technical background

• Familiarity with ticketing systems (Zendesk, Zoho, ServiceNow), CRM platforms, and Jira

Summary:

As a Customer Support Specialist, you will have an opportunity to join a very dynamic international team and become a trusted advisor to our clients, with the opportunity to join a dynamic international team and become a trusted advisor to our clients, contributing to the overall quality of our product by sharing feedback with an opportunity to contribute to the overall quality of our product by sharing feedback with the relevant stakeholders.  

You will interact with US business owners, learn about the telecom industry and embark on an IT career path within the organization.  

Key Responsibilities:

• Support existing and prospective customers by providing timely and accurate information about B2BSoft products

• Identify, analyze, and troubleshoot technical issues and provide effective solutions

• Respond to support queries via phone, chat, and email

• Assist customers with software and hardware configurations, billing, and merchant services–related requests

• Maintain clear and detailed documentation of all service inquiries.

We are a Ukrainian outsourcing company Join.To.IT, founded in 2012, and delivering software solutions across diverse business domains.
We focus on building long-term partnerships with our clients and delivering solutions that create real business impact. Our team consists of experienced professionals who take ownership of their work, value clear communication, and are committed to high standards in everything they do.
At Join.To.IT, we create an environment where engineers can grow, influence technical decisions, and contribute to meaningful projects alongside a strong and supportive team. 

Responsibilities

• Design user-centered interfaces for web, mobile, and SaaS products.
• Create user flows, wireframes, mockups, and clickable prototypes.
• Collect and clarify non-complex requirements with clients and stakeholders.
• Conduct user interviews, usability testing, UX audits, and behavior analysis.
• Perform UX benchmarking for active projects and detailed competitor feature analysis.
• Translate business requirements, research insights, and product data into effective design solutions.
• Contribute to Go-to-Market activities through user, market, competitor, and product positioning research.
• Create and maintain Figma components and design systems.
• Use AI tools for research, ideation, analysis, and rapid prototyping.
• Collaborate with developers and stakeholders from discovery through implementation.
• Manage multiple priorities and deliver agreed outputs within established deadlines and SLA.

Requirements

• 2+ years of commercial experience as a UI/UX or Product Designer.
• Strong portfolio demonstrating both the design process and final solutions.
• Strong proficiency in Figma, FigJam, design systems, and interactive prototyping.
• Experience designing web, mobile, and SaaS products.
• Experience conducting interviews, UX research, usability testing, and UX audits.
• Ability to collect requirements and translate them into clear design solutions.
• Experience with UX benchmarking and structured competitor analysis.
• Basic understanding of Go-to-Market concepts: target audience, value proposition, positioning, and differentiation.
• Data-informed approach and ability to justify decisions using research, metrics, and business context.
• Practical experience using AI tools in design and research workflows.
• Understanding of responsive design, accessibility, and development constraints.
• Ability to work independently across several projects and evolving requirements.
• Upper-Intermediate English (B2+) or higher.
• Strong communication, presentation, and teamwork skills.

Will Be a Plus

• Experience in an outsourcing or consulting company.
• Experience working directly with international clients.
• Familiarity with product analytics tools and product metrics.
• Experience facilitating discovery sessions and workshops.
• Understanding of Agile/Scrum development.

We Offer

• Office-based or hybrid (3 days in the office) work format (office in Kyiv, near Vasylkivska metro station with shelter, Starlink, and uninterrupted power supply)
• Paid vacation and sick leave
• Medical insurance
• Free gym access near the office
• Opportunity to influence design processes and introduce new ideas
• Supportive and collaborative team environment
• Compensation for English courses and professional development

We are currently seeking a skilled and driven Senior AI/ML Engineer to join our R&D team.

We believe that you have:

• In-depth knowledge of Machine Learning (ML) and Deep Learning (DL) principles
• A minimum of 3 years of experience working as a Software/ML Engineer
• Strong proficiency in Python programming and ML related libraries and engines
• Experience with AI Agents
• Proven experience in prompt engineering, Large Language Models (LLM)
• LLM Fine-tuning: Experience in fine-tuning pre-trained language models for specific tasks or domains
• LLM Frameworks and Tools: Langchain / LlamaIndex or other + familiarity with other relevant frameworks such as Transformers, GPT-Index, or FAISS
• Experience with one or more machine learning libraries such as TensorFlow, Keras, PyTorch
• Ability to extract meaningful business insights from data and identify the stories behind the patterns
• Willingness to work in an R&D team with shifting priorities and actively engage in PoC initiatives.

• Intermediate or higher level of English proficiency

   

Cool to have:

• Experience with Computer Vision
• Expirience with LLMOps
• DevOps & MLOps: CI/CD pipelines, Docker, Kubernetes
• Experience with SQL, NoSQL and Vector databases

• Experience with NLP, NLU, Semantic Search

   

Responsibilities:

• Collaborate closely with the web development team to design, develop, and deploy machine learning models
• Develop new machine learning models or enhance existing ones to meet project requirements

• Monitor and maintain machine learning models in production, ensuring their optimal performance and stability

   

We offer:

• Flexible schedule
• Horizontal management and communication directly with project stakeholders
• 20 days of paid vacation
• Paid sick-leaves
• Annual activities budget — we endorse your wish to self-improvement
• Remote work

We are DevOps-as-a-Service company delivering cloud infrastructure, CI/CD, and operational support across multiple client projects. We work with distributed engineers and international clients and focus on reliable execution, clear communication, and predictable delivery.

We are looking for a Project Coordinator to support the day-to-day coordination of our client projects and DevOps engineers.

Your main responsibility will be to make sure tasks are clearly tracked, assigned, followed up on, and completed, while keeping clients and the team informed about progress, blockers, and upcoming work.

You will act as the operational point of coordination between clients, DevOps engineers, and company management.

Required Skills & Experience

• 1+ year of experience in project coordination, project management, or a similar operational role
• Experience working with technical teams (IT, DevOps, software development, or similar)
• Strong organizational and follow-up skills
• Ability to manage multiple projects and priorities simultaneously
• Clear and professional written and spoken English
• Ability to work independently and proactively
• Experience with Jira, ClickUp, Asana, Monday, or similar task-management tools
• Strong attention to detail and ability to keep information organized and up to date

Nice to Have

• Basic understanding of DevOps concepts such as CI/CD, cloud infrastructure, containers, environments, and deployments
• Familiarity with AWS, Azure, or GCP terminology
• Experience working in outsourcing, consulting, or managed services companies

• Experience coordinating distributed or remote engineering teams

   

Responsibilities

Task & Delivery Coordination

• Maintain task boards across multiple client projects
• Ensure tasks have clear descriptions, owners, priorities, and statuses
• Track deadlines, blockers, dependencies, and pending decisions
• Follow up with engineers on outstanding and delayed tasks
• Make sure new client requests are captured and tracked
• Keep project information and task statuses up to date
• Escalate delivery risks, unclear priorities, scope changes, and resource conflicts early

Client Communication

• Act as the day-to-day coordination point for clients
• Collect and organize incoming client requests
• Communicate progress, blockers, and expected timelines
• Schedule and support regular client status calls
• Prepare concise weekly or bi-weekly project updates
• Record decisions, action items, and follow-ups from meetings
• Escalate issues that require management or technical decisions

Team Coordination

• Coordinate day-to-day work of DevOps engineers across projects
• Make sure engineers understand current priorities and expected deliverables
• Follow up on missing information and unresolved blockers
• Coordinate communication between engineers and clients when necessary
• Maintain visibility into engineer workload and availability
• Help keep the team focused on agreed priorities

Documentation & Reporting

• Maintain basic project and client documentation
• Keep meeting notes, decisions, and action items organized
• Track hours, workload, and delivery status
• Prepare simple delivery and workload reports
• Ensure important client agreements, requests, and changes are documented
   

What This Role Is — and Is Not

This is a coordination-focused role, not a technical management position.

You are not expected to make DevOps architecture decisions or independently define technical solutions. Technical decisions will be made by our engineers and technical leadership.

You are expected to ensure that everyone knows what needs to be done, who is responsible, what is blocked, what is late, and what requires escalation.

Success in this role means that tasks do not get lost, clients know what is happening, engineers know their priorities, and potential delivery problems are identified early.

SupportYourApp is an international Intelligent Support-as-a-Service company that has been providing business process outsourcing services to IT companies around the globe for the past 15 years. We have 1500+ people in our international community.

We operate globally, supporting clients in 60 languages and partnering with industry leaders like MasterCard, Calm, and MacPaw. With international hubs and coworking spaces around the world, we develop innovative products like Quidget and continuously work to improve the customer experience.

About the role:

We are looking for an AI Solutions Specialist to join our team and lead the design and implementation of AI-powered solutions for customer support and business operations.

In this role, you will translate business and operational requirements into scalable technical solutions, design AI architectures, evaluate technologies and integrations, and guide solutions from discovery through implementation.

You will work closely with clients, internal teams, and technical stakeholders to identify the right AI approach for each use case and ensure that solutions are reliable, scalable, and aligned with business goals.

What you will do:

• Design end-to-end AI solutions based on client business and technical requirements;
• Define solution architecture, integrations, data flows, and implementation approach;
• Design and implement AI-powered solutions, including conversational AI, chatbots, agent assist, and automation;
• Work with LLMs, RAG, prompt engineering, AI agents, and knowledge retrieval systems;
• Lead technical discovery and solution design sessions with clients and internal teams;
• Conduct demos of proposed AI solutions and explain their functionality, capabilities, and business value;
• Troubleshoot technical issues and drive solutions through to resolution.

What you need to succeed in this role:

• Fluency in English (C1+ / Advanced+);
• Practical experience taking an AI support solution from implementation/configuration to actual use by customers or support teams;
• Experience implementing AI-powered chatbots and voicebots specifically for customer support or customer service operations;
• Hands-on experience with AI and automation platforms (for example, Zendesk AI Agents, n8n, Voiceflow, Botpress, Cognigy, or similar tools);
• Understanding of LLMs, Generative AI, RAG, prompt engineering, and AI agents;
• Basic understanding of APIs, integrations, databases, and system architecture;
• Ability to translate business requirements into scalable technical solutions and communicate technical concepts to both technical and non-technical stakeholders.

Will be an advantage:

• Hands-on experience with helpdesk platforms (for example, Zendesk, Freshdesk, and Intercom), including their automation and AI features;
• Experience with AI evaluation, monitoring, and guardrails;
• Experience working directly with clients during technical discovery and solution design;
• Experience leading implementation projects.

Benefits and Perks:

• Providing services during business hours;
• Opportunity to cooperate fully remotely;
• Inclusive international environment;
• Compensation in USD;
• Rewards for referring friends;
• Balance between project workload and personal time, but also – internal health policy;
• Responsive leadership interested in your growth and long-lasting cooperation;
• Greenhouse conditions for self-development;
• A culture built on trust, with no time-tracking requirements.

*The items listed in this section may vary depending on the terms of your engagement. Certain benefits and conditions typically apply to employees; independent contractors may not be eligible for all of these. The specific terms, including compensation, benefits, and work conditions, will be clearly defined in your agreement if selected.

Are you passionate about connecting systems and driving intelligent automation? Do you thrive in fast-paced environments where you can analyze workflows, implement AI solutions, and collaborate with teams to deliver scalable, high-impact results?

Grab the chance to join us and send your CV in English, pointing out your outstanding skills!

Know someone perfect for the role? Refer them and get rewarded! 

We adhere to the principles of equal treatment of candidates and prohibit discrimination on any grounds protected by law.

Your personal data will be processed as described in the SupportYourApp Candidate Privacy Notice.

What should you know about SKELAR? It's a venture builder — in other words, a company that builds companies. Together with founders, we create consumer businesses that become leaders in global markets across EdTech, Mental Health, Petcare, FashionTech, and beyond.

Our teams build tech products that win recognition from Product Hunt and The Webby Awards, earn thousands of glowing Trustpilot reviews, and reach over 10 million users worldwide. That kind of impact doesn't happen by accident — it starts with exceptional people, and our people are our top priority.

We've built an environment where expertise meets opportunity, and where there's no ceiling on what you can achieve. Now we're looking for the kind of people who don't just want a job — they want a challenge.

We’re looking for a Middle Node.js Developer for our partner company, Duomo.

Duomo is an app rooted in Christian values, helping people turn Scripture into daily habits and inner peace. We’re building a leading Christian-tech product for people seeking spiritual renewal.

You will be responsible for:
 

• Driving MarTech Automation: Designing, developing, and scaling backend services to automate marketing technology processes and integration workflows.
• Streamlining Creative Processes: Building robust tools and systems that automate the asset lifecycle and streamline creative operations for the team.
• Enhancing System Observability: Implementing comprehensive tracking, metrics, logs, and tracing (Observability) to ensure high system visibility and performance monitoring.
• Strengthening Infrastructure Reliability: Expanding test coverage (unit, integration, end-to-end) and setting up automated testing pipelines to ensure high code quality and fault tolerance.
• Architecting Scalable Solutions: Participating in system architecture design, code reviews, and optimizing backend performance to support business growth.

What you need to succeed in this role:

• 2+ years of experience with Node.js + TypeScript & NestJS.
• PostgreSQL + any typed ORM (Drizzle, Prisma, or TypeORM).
• Redis & Message Queues (BullMQ, RabbitMQ, or SQS) — hands-on experience with idempotency, retries, and distributed locks.
• Third-party REST API integrations — handling rate limits, pagination, and partial failures.

• Docker, CI/CD, and unit testing with Jest

   

  Nice-to-Have Requirements

• Experience with Facebook Marketing API, Google Ads API, or other ad platforms (TikTok, Applovin)
• Cloud & Infra: AWS (ECS, ECR, S3, Lambda) and GitHub Actions
• Observability: Prometheus, Grafana, and structured logging
• Integrations with Airtable API and Google Sheets API
• Practical experience with LLM APIs (Claude, Gemini) — structured output and prompt versioning

Why Duomo:

— You’ll work on a product with a clear mission and real values.
— You’ll help us transition from a content-rich app into a truly connected spiritual platform.
— You’ll be early enough to influence how product is done at Duomo long-term.

What we offer:

— Competitive salary;
— Significant impact on a rapidly growing business and contribution to how it shapes up;
— Ample career opportunities for ambitious growth and development;
— A possibility to attend internal, external courses, seminars and the access to a corporate library;
— Comfortable working environment. We provide all necessary work equipment for your role and serve complimentary breakfasts, lunches, and snacks in the office;
— 20 days of paid vacation, medical insurance and a variety of sports activities available for employees inside and outside the office.

At SKELAR, we've built an environment where people can grow, build, and do the most meaningful work of their careers:

• SKELAR Platform. The operational backbone of our venture builder. It exists to help founders move faster and easier — so business teams can stay laser-focused on the product while 10+ specialized Platform takes care of everything else: Legal, Finance, HR, Admin, Talent Acquisition, Employer Branding, IT, and more.
• Networking and knowledge-sharing as a way of life. Our people include co-founders who've launched multiple businesses and some of the sharpest specialists in the industry. Whatever expertise you need, it's never far away.
• Learning programs you won't find anywhere else. We've developed our own educational tracks for teammates to choose from — a two-month school for first-time managers, intensive AI workshops, and professional clubs for engineers, product managers, and more.
• Meaningful impact in Ukraine. The SKELAR Foundation was created by our own people, and every employee plays a part in bringing important social initiatives to life. We founded Europe's first accelerator for veterans and are working to build lasting support structures for veterans at a national scale.
• Spaces designed to inspire. Our offices are places people actually want to be — with an in-house gym, a climbing wall, Bali-inspired green spaces, and libraries. Every detail, from service and security to comfort and design, is built to match the pace of our growing teams.
• Everyday comfort built in. Meals, gym access in Kyiv or a partial fitness stipend in Warsaw, health insurance, paid business travel where the role requires it, and corporate partner discounts.

We'd love to tell you more in person.

Join us at SKELAR and help build the next big everything!