KaaIoT

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 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 investigate and fix production issues reported by real enterprise customers.

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 performance-conscious code in Java and/or C++
• Investigate and fix production and customer-reported issues under the guidance of senior engineers, including fixes delivered across multiple supported release lines
• Work with SQL semantics, query plans, and execution operators over large-scale distributed data
• Integrate with columnar formats, open table formats, and connectivity drivers
• Contribute to CI/CD and automated testing in Jenkins
• Deploy and validate changes on Kubernetes (GKE/EKS/AKS) across GCP, AWS, or Azure with Docker
• Debug issues across query planning, distributed execution, memory management, and I/O; collaborate with US-based teams on design and code reviews
•  

Required Qualifications

• B.S. or M.S. in Computer Science, Computer Engineering, or a related field
• 3+ years in backend / systems software engineering
• Strong proficiency in Java or C++ with solid OOP and software design fundamentals, including concurrency and asynchronous programming (comfort with both languages is especially valued)
• Strong SQL and understanding of relational and analytical data systems, including query execution concepts
• Hands-on experience with data processing systems: query engines, distributed databases, ETL/ELT, or analytical platforms
• Experience with Jenkins pipelines and modern development workflows
• Docker and basic Kubernetes (running workloads, debugging pods, kubectl fluency)
• Hands-on experience with at least one major cloud (GCP, AWS, or Azure)
• Confident Git/GitHub workflows
• Comfortable with AI-assisted development workflows — using modern AI tools for code comprehension, debugging, and test generation, and 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

• Apache Arrow (columnar in-memory format) and SQL planner/optimizer frameworks such as Apache Calcite
• LLVM-based runtime expression compilation
• Open table formats — Apache Iceberg, Delta Lake, or Hudi — and columnar file formats such as Parquet, Avro, or ORC
• MPP query engines (Presto, Trino, or similar); exposure to distributed data platforms such as Spark, Snowflake, or Databricks
• Messaging systems: Kafka, NATS, or cloud pub/sub services
• Query planning, optimization, and execution internals
• Connectivity drivers: JDBC, ODBC, Arrow Flight
• Managed Kubernetes (GKE/EKS/AKS), multi-cloud exposure; Terraform

• Performance profiling of latency-sensitive systems

   

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

Build what happens behind the query.

Work on the core of a high-performance data platform — query planning, optimization, distributed execution and performance at scale.

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 work on the core query engine of a large-scale distributed data platform. You will own significant components across query planning, optimization, and execution — both driving improvements and acting as a trusted owner of production quality: diagnosing complex customer-reported issues and delivering safe, well-tested fixes across supported release lines. Engineers with staff-level scope and ambitions are very welcome.

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 query engine components — planner, optimizer, execution operators, memory management, and data access layers
• Diagnose and resolve complex production and customer-reported issues across the full query path — correctness, performance, memory, concurrency, resiliency, and compatibility
• Develop, review, and backport fixes across multiple supported release lines; strengthen regression prevention
• Write and review high-quality, performance-critical code in Java and/or C++
• Analyze query profiles, execution plans, logs, and telemetry to drive performance optimization — profiling, benchmarking, and eliminating bottlenecks in latency- and throughput-sensitive paths
• Integrate with columnar formats, open table formats, and connectivity drivers
• Improve regression tests, diagnostics, and observability; contribute to CI/CD architecture and quality processes in Jenkins
• Mentor middle engineers, lead code reviews, and help set technical standards

• Debug complex cross-layer issues spanning query planning, distributed execution, memory management, and I/O, partnering with US-based engineering leads

   

Required Qualifications

• B.S. or M.S. in Computer Science, Computer Engineering, or a related field
• 5+ years in backend / systems software engineering with a track record of owning significant components end-to-end
• Strong proficiency in Java or C++ (comfort with both is especially valued), with deep understanding of OOP, systems design, memory management, concurrency, and asynchronous programming
• Advanced SQL and solid understanding of query execution internals — planning, optimization, operator implementation
• Experience building or extending data processing systems: query engines, distributed databases, ETL/ELT, or analytical platforms
• Ability to assess change risk in a mature production system; experience supporting software across multiple versions, branches, or customer environments
• Hands-on experience with Jenkins and modern CI/CD workflows; Docker and Kubernetes
• Hands-on experience with at least one major cloud (GCP, AWS, or Azure)
• Confident Git/GitHub workflows and rigorous code-review habits
• Comfortable with AI-assisted development workflows — using modern AI tools for code comprehension, debugging, and test generation, and critically validating their output
• Prior experience mentoring engineers, leading technical designs, or owning components end-to-end
• 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

• Apache Arrow (columnar in-memory format) and SQL planner/optimizer frameworks such as Apache Calcite
• LLVM-based runtime expression compilation / code generation
• Open table formats — Apache Iceberg, Delta Lake, or Hudi — and columnar file formats such as Parquet, Avro, or ORC
• MPP query engines (Presto, Trino, or similar); background with distributed data platforms such as Spark, Snowflake, or Databricks
• Deep understanding of query optimization (cost-based, rule-based), vectorized execution, memory management, spilling, and caching
• Connectivity drivers: JDBC, ODBC, Arrow Flight
• Managed Kubernetes (GKE/EKS/AKS) and multi-cloud exposure; Terraform; cloud object storage (AWS S3, Azure Data Lake Storage, Google Cloud Storage)
• SaaS operations experience: incident response, profiling, observability, release and backport processes

• Systems-level performance work and open-source contributions to data infrastructure projects

   

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

Our IoT platform opens an opportunity to grow beyond traditional sales. You’ll start by finding and engaging the right customers, learn the product and its use cases, and gradually move into discovery calls, product demos and solution selling.

Office Location: 40G, Kyryllivska St, Kyiv, Ukraine (remote work is available)

Company: Kaa IoT – A leading platform for IoT solutions (www.kaaiot.com)

Location: Hybrid / Remote / Office in Ukraine or abroad

Who We Are Looking For:

An ambitious, motivated, and energetic junior sales professional with a strong interest in technology and solution-based selling. We are looking for someone who is comfortable with outbound sales and lead generation and is eager to gradually grow into a client-facing sales role.

You will start by focusing on prospecting, outreach, and lead qualification, and over time take on more responsibility for customer conversations, product demonstrations, and sales opportunities across different IoT industries.

Experience or interest in IoT, Cloud, Building Management Systems (BMS), energy monitoring, connected devices, or other technology solutions is a plus.
 

      Responsibilities:

• Research target markets, companies, and contacts based on our Ideal Customer Profile (ICP), and build relevant prospect lists.
• Create personalized outreach messages and manage outbound campaigns across email, LinkedIn, and other channels.
• Engage and qualify prospects through written communication, including outbound outreach, inbound leads, and other channels.
• Manage outreach across multiple accounts and maintain consistent communication with prospects.
• Manage sales activities and opportunities in the CRM, ensuring consistent follow-ups and keeping communication history and next steps up to date.
• Responsible for achieving aggressive weekly targets such as number of qualified opportunities per campaign, number of daily activities/tasks, call quality, appointment setting, and sales skills.

• Collaborate with the marketing team on LinkedIn activities and product-related content to support outreach and engagement.

   

Over time:

• Conduct initial calls and discovery with qualified prospects to understand their use case, devices, project scope, and key requirements.
• Conduct product demonstrations and develop strong product knowledge.
• Support prospects during product evaluations and coordinate with the technical team when needed.
• Build long-term client relationships and gradually take ownership of qualified opportunities throughout the sales process.

Requirements:

 - Skills:

• Basic understanding of IT and IoT concepts.
• Experience with AI tools, modern technologies, or a technical background is a plus.
• Ability and willingness to learn technical products and understand different IoT use cases.
• Understanding of ICP-based prospecting and lead qualification.
• Experience or familiarity with lead generation and prospecting tools such as Apollo, Clay, LinkedIn Sales Navigator, and other similar tools is a plus.
• Experience with email and LinkedIn outreach, including writing personalized messages, building outreach sequences, and handling initial objections or “not interested” responses.
• Experience in direct written communication with clients and stakeholders.
• Hands-on experience with CRM tools or sales pipelines.
• Strong organizational skills with attention to follow-ups, priorities, and next steps.

 - Languages: English (B2–С1 level)

 - Mindset: High motivation, strong work ethic, and a results-driven approach

What We Offer:

- A fast-growing and innovative work environment

 - Competitive salary with an attractive commission model

 - Opportunities for international networking and career growth

 - Dynamic and supportive team

 - Work flexibility: Hybrid / Remote options available

Are you ready to build your career in IoT and Cloud sales?

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 team that owns the reliability and operational excellence of a large-scale data platform, delivered both as a cloud service and as self-managed software. You will work across the full platform — observability, security, control plane, and core services — diagnosing complex issues and delivering durable fixes across cloud, hybrid, and on-premises environments, in close collaboration with product engineering, SRE, support, and field teams.

This is a backend platform engineering role focused on distributed systems reliability — not application development or CRUD services.

Responsibilities

• Investigate, diagnose, and resolve complex issues across cloud and self-managed deployments — distributed systems failures, performance degradation, and reliability incidents
• Own bug fixes and targeted improvements across core services, control plane, security, and observability infrastructure
• Support automated deployment and integration frameworks that enable consistent, repeatable delivery across cloud, hybrid, and on-premises environments
• Contribute to cluster lifecycle management, observability, and operational supportability capabilities
• Partner with SRE, support, and field teams to triage and resolve escalated customer issues
• Build runbooks, root cause analyses, and internal tooling that reduce time-to-resolution over time
• Collaborate with product engineering so that fixes are integrated back into the main codebase effectively

Required Qualifications

• Bachelor's or Master's degree in Computer Science or a related field, or equivalent experience
• 5+ years of software engineering experience with strong hands-on Java development at production scale
• Proficiency in Python and Bash for scripting, automation, and tooling
• Solid foundation in data structures, algorithms, and multi-threaded / asynchronous programming models
• Experience designing, debugging, and operating large-scale distributed systems or microservices
• Hands-on experience with Kubernetes and Docker across cloud, hybrid, or on-premises deployments
• Cloud-native development experience on one or more of AWS, Azure, or GCP
• Strong understanding of networking fundamentals (TCP/IP, DNS, HTTP)
• Clear communicator — able to explain problems, root causes, and solutions to technical and non-technical audiences
• 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

• Observability platforms: OpenTelemetry, distributed tracing, metrics, logging
• Background in data processing, data warehouse, data lake, or analytics systems
• Distributed file and object storage: S3, ADLS, or HDFS
• Infrastructure-as-code (Helm, Terraform) and CI/CD tooling (Jenkins, ArgoCD)
• Identity, authentication, and authorization systems: SSO, OAuth, SAML, RBAC
• NoSQL databases (MongoDB, RocksDB), Redis, or partner/OEM integration patterns
• Query processing, concurrency control, data replication, or storage systems

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 Middle Software Engineer (1.5–3.5 years of experience) to join the sustaining engineering team for the data catalog and enterprise data management layer of a large-scale lakehouse platform — the services that automate data ingestion and optimize Apache Iceberg tables for existing customers. The team's mandate is to keep these services running reliably for current clients: investigating and fixing customer- reported issues, resolving defects, addressing performance regressions, and keeping dependencies and security patches current. This is a maintenance and support role, not a feature-development role.

This is a backend Java role in a multithreaded, distributed environment where stability and availability for production customers are the baseline expectations. You will work with hands-on mentorship from senior engineers and in daily collaboration with US-based engineering leads and support teams.

Responsibilities

• Investigate, reproduce, and fix customer-reported issues and defects in the catalog and data-management services (Java)
• Diagnose production problems from logs, metrics, and thread or heap dumps, and work with support teams and solution architects on customer escalations
• Address performance regressions and stability issues in multithreaded, distributed services
• Keep the services current: dependency and library upgrades, security patches, and compatibility fixes
• Write regression tests and small supportability improvements (logging, metrics, diagnostics) so issues are easier to catch and triage next time
• Take part in code reviews and follow the team's release and hotfix process
• Track and apply relevant upstream fixes from the Apache Foundation open-source projects used by the platform

• Communicate status, root causes, and blockers clearly in daily syncs with US-based engineering leads

   

Required Qualifications

• B.S. or M.S. in Computer Science or a related field
• 1.5–3.5 years of professional software engineering experience, preferably in backend or data-intensive systems
• Strong Java programming skills: solid command of the language, the JVM ecosystem, and standard tooling (Maven or Gradle, JUnit)
• Comfortable debugging and supporting production systems — reading logs and stack traces, reproducing issues, and finding root causes
• Good grounding in data structures and algorithms
• Working knowledge of multithreaded and asynchronous programming in Java (java.util.concurrent, executors, futures) and the motivation to go deeper
• Care for engineering quality — tests, code reviews, and an understanding of why availability, resiliency, and zero-downtime upgrades matter
• Comfort with a fast-moving environment, ownership of your work, and an eagerness to learn from and be mentored by senior teammates
• 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

• C++ experience — reading or writing performance-sensitive native code
• Exposure to database internals or query planning
• Familiarity with distributed systems concepts: 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 projects (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 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 investigate and fix production issues reported by real enterprise customers.

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 performance-conscious code in Java and/or C++
• Investigate and fix production and customer-reported issues under the guidance of senior engineers, including fixes delivered across multiple supported release lines
• Work with SQL semantics, query plans, and execution operators over large-scale distributed data
• Integrate with columnar formats, open table formats, and connectivity drivers
• Contribute to CI/CD and automated testing in Jenkins
• Deploy and validate changes on Kubernetes (GKE/EKS/AKS) across GCP, AWS, or Azure with Docker
• Debug issues across query planning, distributed execution, memory management, and I/O; collaborate with US-based teams on design and code reviews.

Required Qualifications:

• B.S. or M.S. in Computer Science, Computer Engineering, or a related field
• 3+ years in backend / systems software engineering
• Strong proficiency in Java or C++ with solid OOP and software design fundamentals, including concurrency and asynchronous programming (comfort with both languages is especially valued)
• Strong SQL and understanding of relational and analytical data systems, including query execution concepts
• Hands-on experience with data processing systems: query engines, distributed databases, ETL/ELT, or analytical platforms
• Experience with Jenkins pipelines and modern development workflows
• Docker and basic Kubernetes (running workloads, debugging pods, kubectl fluency)
• Hands-on experience with at least one major cloud (GCP, AWS, or Azure)
• Confident Git/GitHub workflows
• Comfortable with AI-assisted development workflows — using modern AI tools for code comprehension, debugging, and test generation, and 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:

• Apache Arrow (columnar in-memory format) and SQL planner/optimizer frameworks such as Apache Calcite
• LLVM-based runtime expression compilation
• Open table formats — Apache Iceberg, Delta Lake, or Hudi — and columnar file formats such as Parquet, Avro, or ORC
• MPP query engines (Presto, Trino, or similar); exposure to distributed data platforms such as Spark, Snowflake, or Databricks
• Messaging systems: Kafka, NATS, or cloud pub/sub services
• Query planning, optimization, and execution internals
• Connectivity drivers: JDBC, ODBC, Arrow Flight
• Managed Kubernetes (GKE/EKS/AKS), multi-cloud exposure; Terraform
• Performance profiling of latency-sensitive systems.

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

Middle Software Engineer – Catalog, EDM

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 Middle Software Engineer (1.5–3.5 years of experience) to join the sustaining engineering team for the data catalog and enterprise data management layer of a large-scale lakehouse platform — the services that automate data ingestion and optimize Apache Iceberg tables for existing customers. The team's mandate is to keep these services running reliably for current clients: investigating and fixing customer- reported issues, resolving defects, addressing performance regressions, and keeping dependencies and security patches current. This is a maintenance and support role, not a feature-development role.

This is a backend Java role in a multithreaded, distributed environment where stability and availability for production customers are the baseline expectations. You will work with hands-on mentorship from senior engineers and in daily collaboration with US-based engineering leads and support teams.

Responsibilities

• Investigate, reproduce, and fix customer-reported issues and defects in the catalog and data-management services (Java)
• Diagnose production problems from logs, metrics, and thread or heap dumps, and work with support teams and solution architects on customer escalations
• Address performance regressions and stability issues in multithreaded, distributed services
• Keep the services current: dependency and library upgrades, security patches, and compatibility fixes

Middle Software Engineer – Catalog, EDM

Page 1 of 3

• Write regression tests and small supportability improvements (logging, metrics, diagnostics) so issues are easier to catch and triage next time
• Take part in code reviews and follow the team's release and hotfix process
• Track and apply relevant upstream fixes from the Apache Foundation open-source projects used by the platform
• Communicate status, root causes, and blockers clearly in daily syncs with US-based engineering leads

Required Qualifications

• B.S. or M.S. in Computer Science or a related field
• 1.5–3.5 years of professional software engineering experience, preferably in backend or data-intensive systems
• Strong Java programming skills: solid command of the language, the JVM ecosystem, and standard tooling (Maven or Gradle, JUnit)
• Comfortable debugging and supporting production systems — reading logs and stack traces, reproducing issues, and finding root causes
• Good grounding in data structures and algorithms
• Working knowledge of multithreaded and asynchronous programming in Java (java.util.concurrent, executors, futures) and the motivation to go deeper
• Care for engineering quality — tests, code reviews, and an understanding of why availability, resiliency, and zero-downtime upgrades matter
• Comfort with a fast-moving environment, ownership of your work, and an eagerness to learn from and be mentored by senior teammates
• 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

• C++ experience — reading or writing performance-sensitive native code
• Exposure to database internals or query planning
• Familiarity with distributed systems concepts: concurrency control, data replication, storage systems

Middle Software Engineer – Catalog, EDM

Page 2 of 3

• Apache Iceberg or other open table formats (Delta Lake, Hudi)
• Messaging systems: Kafka, NATS, or cloud pub/sub services
• Contributions to open-source projects (Apache projects especially valued)

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

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 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 investigate and fix production issues reported by real enterprise customers.

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 performance-conscious code in Java and/or C++
• Investigate and fix production and customer-reported issues under the guidance of senior engineers, including fixes delivered across multiple supported release lines
• Work with SQL semantics, query plans, and execution operators over large-scale distributed data
• Integrate with columnar formats, open table formats, and connectivity drivers
• Contribute to CI/CD and automated testing in Jenkins
• Deploy and validate changes on Kubernetes (GKE/EKS/AKS) across GCP, AWS, or Azure with Docker
• Debug issues across query planning, distributed execution, memory management, and I/O; collaborate with US-based teams on design and code reviews

Required Qualifications

• B.S. or M.S. in Computer Science, Computer Engineering, or a related field
• 3+ years in backend / systems software engineering
• Strong proficiency in Java or C++ with solid OOP and software design fundamentals, including concurrency and asynchronous programming (comfort with both languages is especially valued)
• Strong SQL and understanding of relational and analytical data systems, including query execution concepts
• Hands-on experience with data processing systems: query engines, distributed databases, ETL/ELT, or analytical platforms
• Experience with Jenkins pipelines and modern development workflows
• Docker and basic Kubernetes (running workloads, debugging pods, kubectl fluency)
• Hands-on experience with at least one major cloud (GCP, AWS, or Azure)
• Confident Git/GitHub workflows
• Comfortable with AI-assisted development workflows — using modern AI tools for code comprehension, debugging, and test generation, and 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

• Apache Arrow (columnar in-memory format) and SQL planner/optimizer frameworks such as Apache Calcite
• LLVM-based runtime expression compilation
• Open table formats — Apache Iceberg, Delta Lake, or Hudi — and columnar file formats such as Parquet, Avro, or ORC
• MPP query engines (Presto, Trino, or similar); exposure to distributed data platforms such as Spark, Snowflake, or Databricks
• Messaging systems: Kafka, NATS, or cloud pub/sub services
• Query planning, optimization, and execution internals
• Connectivity drivers: JDBC, ODBC, Arrow Flight
• Managed Kubernetes (GKE/EKS/AKS), multi-cloud exposure; Terraform
• Performance profiling of latency-sensitive systems

Details

• Engagement: Long-term contract
• Location: Ukraine, remote

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 work on the core query engine of a large-scale distributed data platform. You will own significant components across query planning, optimization, and execution — both driving improvements and acting as a trusted owner of production quality: diagnosing complex customer-reported issues and delivering safe, well-tested fixes across supported release lines. Engineers with staff-level scope and ambitions are very welcome.

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 query engine components — planner, optimizer, execution operators, memory management, and data access layers
• Diagnose and resolve complex production and customer-reported issues across the full query path — correctness, performance, memory, concurrency, resiliency, and compatibility
• Develop, review, and backport fixes across multiple supported release lines; strengthen regression prevention
• Write and review high-quality, performance-critical code in Java and/or C++
• Analyze query profiles, execution plans, logs, and telemetry to drive performance optimization — profiling, benchmarking, and eliminating bottlenecks in latency- and throughput-sensitive paths
• Integrate with columnar formats, open table formats, and connectivity drivers
• Improve regression tests, diagnostics, and observability; contribute to CI/CD architecture and quality processes in Jenkins
• Mentor middle engineers, lead code reviews, and help set technical standards
• Debug complex cross-layer issues spanning query planning, distributed execution, memory management, and I/O, partnering with US-based engineering leads

Required Qualifications

• B.S. or M.S. in Computer Science, Computer Engineering, or a related field
• 5+ years in backend / systems software engineering with a track record of owning significant components end-to-end
• Strong proficiency in Java or C++ (comfort with both is especially valued), with deep understanding of OOP, systems design, memory management, concurrency, and asynchronous programming
• Advanced SQL and solid understanding of query execution internals — planning, optimization, operator implementation
• Experience building or extending data processing systems: query engines, distributed databases, ETL/ELT, or analytical platforms
• Ability to assess change risk in a mature production system; experience supporting software across multiple versions, branches, or customer environments
• Hands-on experience with Jenkins and modern CI/CD workflows; Docker and Kubernetes
• Hands-on experience with at least one major cloud (GCP, AWS, or Azure)
• Confident Git/GitHub workflows and rigorous code-review habits
• Comfortable with AI-assisted development workflows — using modern AI tools for code comprehension, debugging, and test generation, and critically validating their output
• Prior experience mentoring engineers, leading technical designs, or owning components end-to-end
• 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

• Apache Arrow (columnar in-memory format) and SQL planner/optimizer frameworks such as Apache Calcite
• LLVM-based runtime expression compilation / code generation
• Open table formats — Apache Iceberg, Delta Lake, or Hudi — and columnar file formats such as Parquet, Avro, or ORC
• MPP query engines (Presto, Trino, or similar); background with distributed data platforms such as Spark, Snowflake, or Databricks
• Deep understanding of query optimization (cost-based, rule-based), vectorized execution, memory management, spilling, and caching
• Connectivity drivers: JDBC, ODBC, Arrow Flight
• Managed Kubernetes (GKE/EKS/AKS) and multi-cloud exposure; Terraform; cloud object storage (AWS S3, Azure Data Lake Storage, Google Cloud Storage)
• SaaS operations experience: incident response, profiling, observability, release and backport processes
• Systems-level performance work and open-source contributions to data infrastructure projects

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

Join an international engineering team building a high-performance data platform used by Fortune 500 companies. As a Middle Java Engineer, you’ll work with distributed, multithreaded systems, solve real-world production challenges, and deepen your expertise with mentorship from senior engineers. Fully remote across Europe, with long-term collaboration and the opportunity to grow in the data engineering domain.

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 Middle Software Engineer (1.5–3.5 years of experience) to join the sustaining engineering team for the data catalog and enterprise data management layer of a large-scale lakehouse platform — the services that automate data ingestion and optimize Apache Iceberg tables for existing customers. The team's mandate is to keep these services running reliably for current clients: investigating and fixing customer-reported issues, resolving defects, addressing performance regressions, and keeping dependencies and security patches current. This is a maintenance and support role, not a feature-development role.
 

This is a backend Java role in a multithreaded, distributed environment where stability and availability for production customers are the baseline expectations. You will work with hands-on mentorship from senior engineers and in daily collaboration with US-based engineering leads and support teams.

Responsibilities
 

• Investigate, reproduce, and fix customer-reported issues and defects in the catalog and data-management services (Java)
• Diagnose production problems from logs, metrics, and thread or heap dumps, and work with support teams and solution architects on customer escalations
• Address performance regressions and stability issues in multithreaded, distributed services.
• Keep the services current: dependency and library upgrades, security patches, and compatibility fixes
• Write regression tests and small supportability improvements (logging, metrics, diagnostics) so issues are easier to catch and triage next time
• Take part in code reviews and follow the team's release and hotfix process
• Track and apply relevant upstream fixes from the Apache Foundation open-source projects used by the platform

• Communicate status, root causes, and blockers clearly in daily syncs with US-based engineering leads

   

Required Qualifications

• B.S. or M.S. in Computer Science or a related field 
• 1.5–3.5 years of professional software engineering experience, preferably in backend or data-intensive systems
• Strong Java programming skills: solid command of the language, the JVM ecosystem, and standard tooling (Maven or Gradle, JUnit)
• Comfortable debugging and supporting production systems — reading logs and stack traces, reproducing issues, and finding root causes
• Good grounding in data structures and algorithms
• Working knowledge of multithreaded and asynchronous programming in Java (java.util.concurrent, executors, futures) and the motivation to go deeper
• Care for engineering quality — tests, code reviews, and an understanding of why availability, resiliency, and zero-downtime upgrades matter 
• Comfort with a fast-moving environment, ownership of your work, and an eagerness to learn from and be mentored by senior teammates
• 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

• C++ experience — reading or writing performance-sensitive native code
• Exposure to database internals or query planning
• Familiarity with distributed systems concepts: concurrency control, data replication, storage systems 
• Middle Software Engineer – Catalog, EDM
• Apache Iceberg or other open table formats (Delta Lake, Hudi)

• Messaging systems: Kafka, NATS, or cloud pub/sub servicesи Contributions to open-source projects (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 for the team that owns the reliability and operational excellence of a large-scale data platform, delivered both as a cloud service and as self-managed software. You will work across the full platform — observability, security, control plane, and core services — diagnosing complex issues and delivering durable fixes across cloud, hybrid, and on-premises environments, in close collaboration with product engineering, SRE, support, and field teams.

This is a backend platform engineering role focused on distributed systems reliability — not application development or CRUD services.

Responsibilities

• Investigate, diagnose, and resolve complex issues across cloud and self-managed deployments — distributed systems failures, performance degradation, and reliability incidents
• Own bug fixes and targeted improvements across core services, control plane, security, and observability infrastructure
• Support automated deployment and integration frameworks that enable consistent, repeatable delivery across cloud, hybrid, and on-premises environments
• Contribute to cluster lifecycle management, observability, and operational supportability capabilities
• Partner with SRE, support, and field teams to triage and resolve escalated customer issues
• Build runbooks, root cause analyses, and internal tooling that reduce time-to-resolution over time

• Collaborate with product engineering so that fixes are integrated back into the main codebase effectively

   

Required Qualifications

• Bachelor's or Master's degree in Computer Science or a related field, or equivalent experience
• 5+ years of software engineering experience with strong hands-on Java development at production scale
• Proficiency in Python and Bash for scripting, automation, and tooling
• Solid foundation in data structures, algorithms, and multi-threaded / asynchronous programming models
• Experience designing, debugging, and operating large-scale distributed systems or microservices
• Hands-on experience with Kubernetes and Docker across cloud, hybrid, or on-premises deployments
• Cloud-native development experience on one or more of AWS, Azure, or GCP
• Strong understanding of networking fundamentals (TCP/IP, DNS, HTTP)
• Clear communicator — able to explain problems, root causes, and solutions to technical and non-technical audiences
• 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

• Observability platforms: OpenTelemetry, distributed tracing, metrics, logging
• Background in data processing, data warehouse, data lake, or analytics systems
• Distributed file and object storage: S3, ADLS, or HDFS
• Infrastructure-as-code (Helm, Terraform) and CI/CD tooling (Jenkins, ArgoCD)
• Identity, authentication, and authorization systems: SSO, OAuth, SAML, RBAC
• NoSQL databases (MongoDB, RocksDB), Redis, or partner/OEM integration patterns

• Query processing, concurrency control, data replication, or storage systems

   

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

Kubernetes, CI/CD, monitoring, production systems — this is where you’ll get to work hands-on and build your SRE/DevOps expertise.

Position Overview

We are looking for a Junior SRE / DevOps Engineer to join our infrastructure team and help support Kubernetes environments, CI/CD pipelines, application deployments, and production systems.

This role is a good fit for someone who already has basic hands-on experience with Linux, containers, Kubernetes, and CI/CD and wants to grow into an SRE / DevOps position.

Responsibilities

• Support Kubernetes-based environments.
• Assist with application deployments and CI/CD pipelines.
• Work with Jenkins pipelines.
• Support Java application build processes using Maven (mvn).
• Help troubleshoot deployment and infrastructure issues.
• Monitor applications and infrastructure.
• Work with logs, metrics, and alerts.
• Assist with infrastructure automation.
• Maintain technical documentation.

• Work with developers and senior DevOps/SRE engineers on production issues and improvements.

   

Required Skills

• Basic Linux administration skills.
• Basic understanding of Kubernetes.
• Understanding of Docker and containers.
• Basic experience with Jenkins or another CI/CD system.
• Basic understanding of Maven (mvn) and Java application build processes.
• Understanding of Git.
• Basic networking knowledge: DNS, TCP/IP, HTTP/HTTPS.
• Ability to read logs and troubleshoot basic application or infrastructure issues.
• Basic scripting skills with Bash or Python.

• Willingness to learn and work with production infrastructure.

   

Nice to Have

• Experience with Helm.
• Experience with Prometheus and Grafana.
• Basic knowledge of cloud platforms such as AWS, Azure, or GCP.
• Experience with Terraform or other Infrastructure-as-Code tools.
• Knowledge of Dremio.
• Basic understanding of Apache Arrow.
• Experience with PostgreSQL or object storage.

• Understanding of SRE concepts such as monitoring, alerting, availability, and incident response.

   

What We Expect

We do not expect a Junior engineer to know everything.

The important things are strong fundamentals, willingness to learn, and the ability to investigate problems instead of only following predefined instructions.

The engineer will work together with more experienced team members and gradually take more responsibility for CI/CD, Kubernetes, monitoring, and production infrastructure.

Position Overview

We are looking for a Junior SRE / DevOps Engineer to join our infrastructure team and help support Kubernetes environments, CI/CD pipelines, application deployments, and production systems.

This role is a good fit for someone who already has basic hands-on experience with Linux, containers, Kubernetes, and CI/CD and wants to grow into an SRE / DevOps position.

Responsibilities

• Support Kubernetes-based environments.
• Assist with application deployments and CI/CD pipelines.
• Work with Jenkins pipelines.
• Support Java application build processes using Maven (mvn).
• Help troubleshoot deployment and infrastructure issues.
• Monitor applications and infrastructure.
• Work with logs, metrics, and alerts.
• Assist with infrastructure automation.
• Maintain technical documentation.
• Work with developers and senior DevOps/SRE engineers on production issues and improvements.

Required Skills

• Basic Linux administration skills.
• Basic understanding of Kubernetes.
• Understanding of Docker and containers.
• Basic experience with Jenkins or another CI/CD system.
• Basic understanding of Maven (mvn) and Java application build processes.
• Understanding of Git.
• Basic networking knowledge: DNS, TCP/IP, HTTP/HTTPS.
• Ability to read logs and troubleshoot basic application or infrastructure issues.
• Basic scripting skills with Bash or Python.
• Willingness to learn and work with production infrastructure.

Nice to Have

• Experience with Helm.
• Experience with Prometheus and Grafana.
• Basic knowledge of cloud platforms such as AWS, Azure, or GCP.
• Experience with Terraform or other Infrastructure-as-Code tools.
• Knowledge of Dremio.
• Basic understanding of Apache Arrow.
• Experience with PostgreSQL or object storage.
• Understanding of SRE concepts such as monitoring, alerting, availability, and incident response.

What We Expect

We do not expect a Junior engineer to know everything.

The important things are strong fundamentals, willingness to learn, and the ability to investigate problems instead of only following predefined instructions.

The engineer will work together with more experienced team members and gradually take more responsibility for CI/CD, Kubernetes, monitoring, and production infrastructure.

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 team that owns the reliability and operational excellence of a large-scale data platform, delivered both as a cloud service and as self-managed software. You will work across the full platform — observability, security, control plane, and core services — diagnosing complex issues and delivering durable fixes across cloud, hybrid, and on-premises environments, in close collaboration with product engineering, SRE, support, and field teams.

This is a backend platform engineering role focused on distributed systems reliability — not application development or CRUD services.

Responsibilities:

• Investigate, diagnose, and resolve complex issues across cloud and self-managed deployments — distributed systems failures, performance degradation, and reliability incidents
• Own bug fixes and targeted improvements across core services, control plane, security, and observability infrastructure
• Support automated deployment and integration frameworks that enable consistent, repeatable delivery across cloud, hybrid, and on-premises environments
• Contribute to cluster lifecycle management, observability, and operational supportability capabilities
• Partner with SRE, support, and field teams to triage and resolve escalated customer issues
• Build runbooks, root cause analyses, and internal tooling that reduce time-to-resolution over time
• Collaborate with product engineering so that fixes are integrated back into the main codebase effectively.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science or a related field, or equivalent experience
• 5+ years of software engineering experience with strong hands-on Java development at production scale
• Proficiency in Python and Bash for scripting, automation, and tooling
• Solid foundation in data structures, algorithms, and multi-threaded / asynchronous programming models
• Experience designing, debugging, and operating large-scale distributed systems or microservices
• Hands-on experience with Kubernetes and Docker across cloud, hybrid, or on-premises deployments
• Cloud-native development experience on one or more of AWS, Azure, or GCP
• Strong understanding of networking fundamentals (TCP/IP, DNS, HTTP)
• Clear communicator — able to explain problems, root causes, and solutions to technical and non-technical audiences
• 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:

• Observability platforms: OpenTelemetry, distributed tracing, metrics, logging
• Background in data processing, data warehouse, data lake, or analytics systems
• Distributed file and object storage: S3, ADLS, or HDFS
• Infrastructure-as-code (Helm, Terraform) and CI/CD tooling (Jenkins, ArgoCD)
• Identity, authentication, and authorization systems: SSO, OAuth, SAML, RBAC
• NoSQL databases (MongoDB, RocksDB), Redis, or partner/OEM integration patterns
• Query processing, concurrency control, data replication, or storage systems.

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