Jobs at Djinni

We are looking for an experienced Senior Developer to join our Platform Team. You'll design and build scalable backend services, improve developer productivity, and lead technical initiatives across the engineering organization.

Tech Stack

• Python (FastAPI, Flask, Django)
• AWS / Azure / GCP
• Docker, Kubernetes
• SQL
• CI/CD & Infrastructure as Code
• GraphQL (nice to have)
• LLM / AI applications

Requirements

• 7–10 years of software engineering experience.
• Candidates should currently reside in Europe or be willing and able to relocate to Europe.
• Strong Python backend development experience.
• Experience designing and supporting large-scale distributed systems.
• Solid knowledge of SQL and database optimization.
• Hands-on experience with cloud platforms (AWS preferred), Docker, and Kubernetes.
• Experience with CI/CD and Infrastructure as Code.
• Strong system design, architecture, and technical leadership skills.
• Experience with production AI/LLM applications is a plus.
• Excellent communication, mentoring, and problem-solving skills
• Good verbal and writing English language communication skills. 

Nice to Have

• Platform engineering experience.
• GraphQL.
• Microservices architecture and monolith decomposition.

Opportunity to work with the leader of the US Broadcasting Market and one of the biggest companies that is providing Broadcasting Media Entertainment to users on OTT.

Job Description

Basic knowledge of OOP and Functional programming
Basic knowledge of Networking
Basic knowledge of TypeScript

Basic knowledge of Python

Basic knowledge of JavaScript (ES6/7/8)
Basic knowledge of HTML/CSS
Basic knowledge of Git
Basic knowledge of Unit/Integration testing will be a plus
Pre-intermediate English written and verbal communication skills
Ability to learn quickly and grow in the technical area
Analytical mind and problem-solving aptitude

Job Responsibilities

• Participate in various activities as required project success: discussing approaches, investigations, and development/support of features and components 
• Adding new functionality to existing systems, while constantly improving usability, quality, performance
• Contribute to project deliverables, mood, and success

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

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 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

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.

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: 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

We’re looking for an experienced consultant for a 6-month project within the aviation industry, with the possibility of extension.

The main focus will be Amazon Voice for Salesforce Service Cloud, so hands-on experience with the Amazon Voice side of the integration is particularly important.

A strong Salesforce background is expected, and Service Cloud certification would be highly relevant. Salesforce seniority is often reflected through relevant certifications, but for this assignment, practical experience with Amazon Voice / Amazon Connect and Salesforce Service Cloud will be especially valuable.

Experience with Apex may also be relevant, and Java knowledge could be useful depending on the technical scope of the project.

Contract length: 6 months, with possibility of extension
Rate: depends on seniority and profile

Industry: Aviation / airline

Key technologies: Amazon Voice, Salesforce Service Cloud

Nice to have: Service Cloud certification, Apex, Java

At this stage, this is the information available about the project. Further details will be shared as the scope develops.

Interested? Feel free to reach out with your profile, relevant certifications, and availability.

We are looking for a Senior Media Buyer to own paid acquisition in the financial publishing vertical on Meta and Google. We work with the top partners in the space, so you will have strong offers to run. Offer access is not the hard part — performance is. We need someone who can take a proven offer, find the angle, and make it profitable at scale.

This is a full ownership seat, not a maintenance role. You walk into a cold offer with no creative history, form a view on the angle within a day, get it live, kill what is not working fast, and scale what is. The strategy is yours to set, the decisions are yours to make, and you are judged on profit — not impressions, click-through rates, or how busy the account looks.

This is a hands-on senior individual contributor seat with serious budget behind it, and it stays that way.

Key Responsibilities

• Take financial publishing offers from cold launch to profitable scale on Meta and Google
• Own the full campaign lifecycle: research, angle selection, launch, optimization, scaling, and the decision to cut
• Own the P&L on every campaign you run — payout, CPA, margin, and volume are your numbers to defend
• Own the angle: decide the hook, who it speaks to, and why it will convert before anything gets designed
• Brief designers, copywriters, and video editors with enough specificity that the first round is testable
• Run a creative testing pipeline at the volume and cadence the platforms demand, including advertorials, pre-landers, and landing pages — test the full path, not the ad in isolation
• Design clean test structures with kill rules and scale rules set in advance, and manage budgets against targets
• Own tracking end to end: trackers, server-to-server postbacks, conversion APIs, pixels, and parameter hygiene — and debug attribution yourself
• Validate that the numbers are real before scaling on them, and reconcile platform data against network and advertiser data
• Own account structure, ad account health, and compliance with Meta and Google policy — we build for longevity, not a week of spend before a ban
• Run competitive and market research continuously, and use AI tools where they genuinely increase creative and research throughput

• Turn what works into documented playbooks and report on a clear cadence: what is spending, what is working, what gets cut

   

Requirements

Must Have

• 5+ years of hands-on media buying with direct ownership of spend and profitability — not agency reporting or campaign assistance
• Big-budget experience: at least $100,000/month in ad spend you personally managed, sustained over time rather than in one spike
• Financial publishing experience preferred; health direct response is the closest adjacent background
• If not financial publishing, a track record across at least three distinct verticals (auto and home a strong plus) — a career inside a single niche is a mismatch here
• Deep Meta expertise: account structure, testing frameworks, creative volume, scaling mechanics, and account health at high daily spend
• Hands-on Google experience in at least one of Search, Demand Gen, YouTube, or Performance Max, with a real view on how it differs from Meta
• Proven ability to take an offer from zero to profitable scale, with specific numbers you can walk through
• Creative and angle ownership — you direct the creative and the funnel rather than waiting for assets
• Tracking fluency: trackers, server-to-server postbacks, conversion APIs, and the ability to debug attribution yourself
• Self-directed: able to run a full portfolio without a large support structure around you

• Excellent English, written and verbal (C1 or above)

   

Nice to Have

• Native buying experience on the major networks
• Newsletter or subscription direct response background
• Auto and home verticals, including insurance and home services lead generation
• Subscriber acquisition and list-building economics — buying against lifetime value, not front-end conversion alone
• Familiarity with advertorials, long-form sales pages, VSLs, and lead magnets
• Fluency with AI tools for creative production, research, and analysis

Who We're Looking For

We're looking for someone who:

• Has scaled offers profitably with real budget on the line, and can walk through the numbers on their best and worst campaigns without reaching for excuses
• Treats multi-vertical range as an advantage and has a method for getting up to speed in an unfamiliar market
• Thinks in angles before settings — creative and offer selection decide most of the outcome
• Moves fast, decides fast, sets kill rules in advance and follows them
• Works independently and wants to stay in the accounts, going deeper on the channels rather than away from them

• Is comfortable being measured on profit, and comfortable saying when something is not working

   

What We Offer

Professional Growth

• International and multicultural environment
• Career development opportunities
• Learning resources and corporate library
• Work alongside a high-performing team
• Access to modern tools and technologies

Benefits

• Competitive salary
• Paid vacation days
• Paid sick leave days
• Work-life balance
• Team events and activities

Working Environment

• Remote or modern office in Warsaw, Poland
• Complimentary snacks, drinks, and office perks
• Friendly and supportive team

• Comfortable workspace

   

We look forward to meeting you!

About us

Benrey is a digital team working with international markets — SEO, PPC, link building, in-app, DSP, plus web and app development. We run large multi-domain, multi-language platforms in highly competitive niches, where manual optimisation simply doesn't scale and anything repeatable has to be automated.

Who we're looking for

A technical SEO who is equally comfortable in the console, in server logs and in code. This is not a "fix meta tags from a checklist" role. The value here is building systems that hold optimisation across hundreds of thousands of pages and keep running without manual work.

We need someone who can identify what hurts most and fix it without a step-by-step spec.

What you'll do

— Technical audits of large sites. Crawling, indexing, rendering, crawl budget. Finding bottlenecks in complex structures where the problem isn't visible from any interface.

— Rendering and migrations. Diagnosing CSR / SSR / partial SSR, planning and running migrations, verifying what the bot actually receives rather than what the browser shows. Working with hydration, prerendering and caching at scale.

— SEO A/B testing on programmatic pages. Hypothesis, splitting pages into groups, staged rollout, verifying the deployed state against the intended one, correlation analysis, filtering out seasonality and algorithm updates. Knowing the difference between a real effect and noise, and not drawing conclusions from two weeks of data.

— Server log analysis. How bots actually move through the site, where crawl budget leaks, which templates never reach the index, what changed after a release.

— Building your own tooling in Python or TypeScript. Bulk checks, change monitoring, structured data validation, internal linking, automated audits, dashboards. Systems that run continuously, not one-off scripts.

— LLMs in production, not in a chat window. Pipelines for content generation and validation, page classification, anomaly detection, working through APIs (Claude, Gemini, OpenAI).

— Structured data, canonicals, robots directives, XML sitemaps — handled at template and auto-generation level, not page by page.

— Core Web Vitals and performance. Diagnosis, writing clear tickets for developers, verifying the result shipped.

— Analytics and reporting. Making changes in crawling, indexation and visibility (including AI overviews) visible as numbers, not as gut feeling.

— Working with engineering. Writing technical requirements developers can act on, arguing priority, seeing tickets through to release.

— Documenting the systems you build so they keep working without you.
 

What we expect

• Solid technical SEO experience on large projects — tens of thousands of URLs and up, multi-language or multi-domain
• Hands-on experience with an SSR migration — a project you owned or led the SEO side of, not theory
• Experience with partial SSR at scale: which parts of the page render server-side, which client-side, and what actually makes it into the index
• Experience running SEO A/B tests on programmatic pages — segmented rollout, verification, honest analysis of results
• Python or TypeScript at the level of "I write working tools myself", not "I took a course"
• Strong grasp of HTML, CSS, JS and how rendering strategy affects indexing, speed and accessibility
• Practical work with logs and APIs — GSC API, crawlers, databases
• Experience with LLM APIs or automation built on top of them
• Autonomy and confidence in your own decisions: not just finding the problem, but driving it to a fix through other teams

Nice to have

• iGaming, programmatic SEO website/SAAS or large-scale e-commerce
• BigQuery, ClickHouse, working with large datasets
• Playwright, headless crawling
• Statistical literacy when evaluating test results
• Mentoring or reviewing other people's technical work

What we offer

• Remote work, competitive salary
• Direct work with the technical team — no layer of managers between you and the task

• Freedom to choose the stack and the tools you build

   

How to apply

Tell us two things in your cover note:

1. A tool you built yourself and the problem it solved.
2. A case where logs or raw data revealed a problem that no crawler or GSC report showed.

Applications without answers to these won't be reviewed.
 

Who We Are

PAR Retail, with its Open Commerce® product suite and patent pending Wallet Steering® System, empowers Convenience & Fuel Retailers to gain more share of wallet and customer lifetime value than possible with any other solution provider. PAR Retail’s unified Open Commerce product suite consists of: Activate for Intelligent 1:1 Loyalty, Transact for Contactless Commerce, and Experience for Cross-Channel Customer Experiences. PAR Retail’s solutions are supported by a set of subscription-based program management services and are contractually backed by its 1.5X Performance Guarantee.

Technology Stack:

Ruby, Ruby on Rails, Postgres, Redis, Sidekiq, GraphQl, RabbitMQ

Requirements:

- Practical experience building systems in Ruby on Rails

- At least 6 years industry experience or equivalent

- Experience building and maintaining backend APIs, including design, implementation, evolution, and maintenance

- Familiarity with TypeScript, or similar modern strongly-typed language

- Proficiency using a variety of database technologies, both relational and non-relational

- Strong understanding and familiarity with CI/CD pipelines and automated tests

- An ability to work in service-based architectures as well as well-factored Rails monolith applications

- Highly independent and able to effectively self-organize and prioritize work

- The ability to write clean code, and the discipline to write effective automated tests to deliver high-quality system improvements

- An ability to effectively break down larger bodies of work for delivery as a series of small, self-contained changes to the system

- Excellent spoken and written communication skills

- BS/MS degree in Computer Science, Engineering, or equivalent years of professional working experience

Bonus Points

- Experience with NodeJS and React

- Experience in the retail and/or fuel & convenience industries

- Experience working in distributed teams

- Experience with Nest.js and/or GraphQL

Responsibilities:

- Collaborate closely with other Engineers, design and implement new functionality based on product objectives and requirements.

- Work with the broader product engineering team to plan and coordinate feature and functionality improvements, as well as resolve bugs and execute technical enhancements, that cross-cut large parts of our platform.

- Work to continually learn, improve technology skills, expand knowledge of the our platform technologies, and gain increasing versatility across the breadth of our platform systems.

- Expand APIs and business logic, and as needed write or revise customer-facing API documentation.

- Work with our infrastructure team to enable and enhance highly-available, performant, and well-instrumented backend applications and services that run in our customer environments at substantial scale.

- Support operations and infrastructure teams for issue resolution on relevant applications or services running in production environments.

PAR Retail Offers:

- Long-term employment;

- Competitive compensation with regular performance-based salary and career development reviews;

- Paid vacations and sick leaves;

- Flexible working hours;

- A unique and friendly environment where everyone can explore and learn new technologies.

Who We Are 

PAR Retail, with its Open Commerce® product suite and patent pending Wallet Steering® System, empowers Convenience & Fuel Retailers to gain more share of wallet and customer lifetime value than possible with any other solution provider. PAR Retail’s unified Open Commerce product suite consists of: Activate for Intelligent 1:1 Loyalty, Transact for Contactless Commerce, and Experience for Cross-Channel Customer Experiences. PAR Retail’s solutions are supported by a set of subscription-based program management services and are contractually backed by its 1.5X Performance Guarantee. 

Requirements:  
- Operational knowledge of modern operating systems and networking; 

- Experience with common cloud services: AWS, GCP, and Azure; 

- Network Security and expertise in network pentesting; 

- Security testing of web applications, web services, mobile apps (hybrid and native), and IT infrastructure; 

- Understanding security certifications (PCI DSS / SOC2); 

- Ability to apply modern Application Security methodologies and frameworks; 

- Ability to use at least one modern programming language; 

- Practical experience with Burp Suite; 

- Experience with IDS, IPS, SIEM configuration; 

- Upper-intermediate English level. 

Responsibilities:  

- Requirements analysis, performing penetration testing and security audit; 

- BE, WEB, cloud and mobile clients testing; 

- Vulnerability reporting and remediation process; 

- Communication with development and project management teams; 

- Prepare security testing reports; 

- Prepare and support internal documentation for the project. 

PAR Retail Offers: 

- Long-term employment; 

- Competitive compensation with regular performance-based salary and career development reviews; 

- Paid vacations and sick leaves; 

- Health insurance program; 

- Flexible working hours; 

- Sponsored company educational program, corporate library; 

- Funny celebrations, team outings, and company events; 

- A unique and friendly environment where everyone can explore and learn new technologies. 

Overview 

Come join us as we scale our retail and commerce loyalty platform! PAR Retail is looking for a Senior NodeJS engineer on its expanding product engineering team as we build and grow our Open Commerce enterprise software-as-a-service platform. 

Open Commerce is a technology suite that enables marketing professionals in the fuel & convenience industry to create real-time, hyper-personalized offers and customer interactions across a variety of channels (mobile, web, SMS, and in-person) to drive customer behavior toward a desired goal. 

Our technology bridges financial payment providers, retail fuel pump technology, and customer experience by wrapping low-level standards-compliant integrations with powerful software abstractions on an ultra-modern software platform. Our platform services and applications are built using a broad swath of technologies (Typescript, NodeJS, Ruby, React, and others), interconnected via GraphQL and RabbitMQ, and run in AWS using Terraform, Helm and Kubernetes (via EKS). 

PAR Retail has its headquarters in Philadelphia, Pennsylvania (USA) and leverages a diverse distributed product engineering and operations team across the United States and Ukraine. PAR Retail offers highly competitive compensation and benefits, as well as an engineering-friendly and product-centric culture. On PAR Retail’s Open Commerce team, we embrace a deeply collaborative software product development process where engineering, design, and product collaborate to shape and ship new functionality. 

Successful candidates will enjoy PAR Retail’s friendly and flexible culture, and embrace our relentless drive to excellence and goal of providing the #1 retail marketing platform in the fuel & convenience industry and beyond. 

Responsibilities 

• Working with the team, design and implement new functionality based on product objectives and requirements. 
• Work with the broader product engineering team to plan and coordinate feature and functionality improvements, as well as resolve bugs and execute technical enhancements, that cross-cut large parts of our platform. 
• Work to continually learn, improve technology skills, expand knowledge of the Open Commerce platform technologies, and gain increasing versatility across the breadth of our platform systems. 
• Expand APIs and business logic, and as needed write or revise customer-facing API documentation. 
• Work with our infrastructure team to enable and enhance highly-available, performant, and well-instrumented backend applications and services that run in our customer environments at substantial scale. 

• Support operations and infrastructure teams for issue resolution on relevant Open Commerce applications or services running in production environments. 

   

Qualifications 

• Practical experience building systems in Node.js 
• At least 5 years industry experience or equivalent 
• Experience building and maintaining backend APIs, including design, implementation, evolution, and maintenance 
• Familiarity with TypeScript, or similar modern strongly-typed language 
• Proficiency using both relational and non-relational database technologies 
• Strong understanding and familiarity with CI/CD pipelines and automated testing 
• Basic knowledge Docker and Kubernetes 
• Familiarity with OAuth and JWT 
• Some experience with front-end JS technologies, esp. React or Angular 
• An ability to work in service-based architectures 
• Highly independent and able to effectively self-organize and prioritize work 
• The ability to write clean code, and the discipline to write effective automated unit tests in order to deliver high-quality system improvements 
• An ability to effectively break down larger bodies of work for delivery as a series of small, self-contained changes to the system 
• Excellent spoken and written communication skills 

• BS/MS degree in Computer Science, Engineering, or equivalent years of professional working experience 

   

Bonus Points 

• Experience with Nest.js and/or GraphQL 
• Experience with Ruby on Rails 
• Experience with AWS 
• Experience working in distributed teams 

• Experience in the retail and/or fuel & convenience industries 

   

PAR Retail Offers:

- Long-term employment;

- Competitive compensation with regular performance-based salary and career development reviews;

- Paid vacations and sick leaves;

- Flexible working hours;

- A unique and friendly environment where everyone can explore and learn new technologies.