Jobs at Djinni

We are a group of companies that has been operating globally since 2020. We are represented on the market by several sports and casino brands. Over the past year, we have successfully doubled our scale and received the Best Sportsbook Operator award at the SiGMA Awards. We are currently continuing to develop actively and are recruiting for the positions Anti-Fraud Analyst

The ideal candidate will have experience in the industry, be organized and motivated, and we guarantee a pleasant atmosphere with opportunities for growth.

Responsibilities:

• Conduct regular analysis of affiliate traffic to identify fraud across CPA, Hybrid, RevShare, and Fixed models using both internal and third-party analytics tools.
• Analyze user behavior (FTD, retention, unusual patterns) to detect suspicious or incentivized traffic schemes.
• Prepare and update affiliate offer terms and Insertion Orders (IO) with clear anti-fraud conditions.
• Perform pre-checks of new affiliates and deal terms before campaign activation.
• Approve or reject affiliate payouts based on traffic quality evaluation (final compliance check before payment execution).
• Collaborate with affiliate managers to explain payout rejections and clarify reasons for non-payment.
• Suggest improvements to anti-fraud processes and contribute to the development of internal fraud prevention policies.
  
   

Requirements:

• Minimum 1 year of experience in iGaming or Betting as an Affiliate Analyst, Traffic Analyst, or Anti-Fraud Specialist.
• Solid understanding of CPA, Hybrid, and RevShare models and the fraud risks associated with each.
• Proficiency in traffic analysis using tools like Google Sheets and Power BI (user-level).
• Knowledge of common fraudulent patterns such as multi-accounting, bonus abuse, incentivized traffic, and geolocation manipulation.
• Experience in drafting clear and contract-compliant IO (Insertion Order) terms for affiliates.
• Strong attention to detail, high level of accountability, and ability to work with large datasets effectively.
• English B1
  
   

Hard Skills:

• Experience working with affiliate tracking platforms
• Knowledge of CPA, Hybrid, and RevShare models, including payout logic and traffic evaluation
• Proficient in Excel / Google Sheets: formulas, pivot tables, data filtering
• Basic experience with BI tools such as Power BI, Tableau, Looker (a plus)
• Understanding of tracking mechanics: link structure, SubID, S2S postbacks, tracking pixels
• Familiarity with common types of affiliate fraud: incentivized traffic, multi-accounting, bonus abuse, cloaking, proxy/VPN usage
• Experience drafting and reviewing Insertion Order (IO) terms and affiliate agreements
• Ability to analyze traffic anomalies using key metrics such as CR, EPC, Retention, LTV, and ROI
  
   

Soft Skills:

• Strong attention to detail
• Analytical and critical thinking skills
• Ability to clearly argue decisions, including payout rejections
• Flexible and diplomatic communication style
• High sense of responsibility and reliability when handling data and deadlines
• Comfortable working in cross-functional teams (finance, affiliate, legal)
• High ethical standards and respect for confidentiality
• Proactive mindset with a drive to identify issues and suggest improvements
  
   

What do we offer?

1. Remote work.
2. Flexible working hours.
3. Competitive salary paid on time.
4. Friendly and proactive team.
5. No bureaucracy, unnecessary reports, or calls.
6. 20 days of paid leave, 5 sick leave and holidays are days off.

What are the stages of selection?

Stage 1: interview with a recruiter.

Stage 2: interview with the hiring manager.

Stage 3: job offer!

DalaPay, https://dalapay.com/, is an international Payment Service Provider and technical aggregator that provides comprehensive payment solutions for businesses to accept and make payments globally, optimizing and expanding their operations. 
Except for our global reach we are proud to have a strong presence and successful operations in various African countries. We specialize in offering payment services and technical integration for instant payments to merchants and individuals across various payment methods and currencies. Besides, we have a wide range of clients and collaborate with companies from diverse industries, earning the trust of large enterprises, e-wallet project owners, partner program providers, and more.

We are looking for a highly-motivated Operations Manager to join our professional team.

Requirements:
• Strong communication & interpersonal skills
• Ability to work collaboratively in a fast-paced environment
• Attentive to details
• Excellent organizational and time-management skills
• Upper Intermediate or higher English
• Basic understanding of technical aspects related to payment methods is a plus

Responsibilities:
• Build and maintain strong relationships with existing and potential partners
• Communicate regularly to foster collaboration and achieve mutual business objectives
• Work towards initiating and increasing traffic and revenue through effective communication
• Identify and recruit suitable testers for our payment solutions
• Manage relationships with testers, ensuring effective communication and feedback loops
• Prepare and draft contracts, agreements, and amendments with counterparties
• Ensure all legal and business requirements are met in collaboration with the legal team
• Collaborate with the technical team for the integration and activation of payment methods
• Facilitate smooth communication between operations and technical teams
• Monitor and analyze traffic patterns to identify opportunities for optimization
• Coordinate the distribution channels to maximize revenue and performance
• Provide timely assistance and support to partners in resolving queries or issues
• Act as a liaison between partners and internal teams to ensure prompt issue resolution

What we offer:
• An opportunity to grow with a rapidly expanding international fintech company
• Continuous learning and career development opportunities 
• Interesting challenges, ownership, and real impact on the business 
• Remote-first culture and a supportive team environment

We are looking for a motivated and ambitious Strong Junior Python Developer who is eager to grow in the field of modern web technologies. You will become part of our team, contribute to interesting and challenging projects, and gain valuable experience under the guidance of senior colleagues.
 

What you’ll be doing:

• Developing new features and modules for our products.
• Participating in the design and maintenance of REST APIs.
• Writing clean, efficient, and testable code.
• Integrating with various external services and databases.
• Participating in code reviews and collaborating with the team.
• Troubleshooting, debugging, and optimizing existing code.

Requirements:

• 6+ months of commercial experience in Python development.
• Knowledge of either Django or FastAPI.
• Hands-on experience with PostgreSQL or MongoDB.
• Solid understanding of REST API design principles.
• Basic knowledge of cloud technologies (AWS or others) is a plus.
• English proficiency at an Upper-Intermediate (B2+) level.

We offer:

• Competitive salary.
• Opportunities for professional and career growth.
• Mentorship and support from experienced developers.
• Work on interesting projects with a modern technology stack.
• Flexible schedule and remote work options.
• Official employment and paid vacation/sick leave.
• Corporate events and a friendly team atmosphere.

We are EverREST, a Salesforce and RevOps consulting firm. We help global companies turn process chaos into predictable revenue. Most of our clients are US-based.

We are looking for someone to own our Upwork channel and scale the outbound funnel. We have the case studies, the expertise and the brand. We need you to open the doors.

What you will do:

• Monitor Upwork feeds daily and pull out high-quality leads: Salesforce implementation, RevOps, high-ticket projects
• Qualify rigorously, no burning connects and time on low-budget clients
• Write hyper-personalized cover letters that actually get read. No copy-paste
• Configure search scanners (Getmany or similar) around our criteria
• Own initial client communication up to the point where the call is booked

What we expect:

• English at C1 or native. Your writing must be flawless and persuasive
• Proven Upwork experience: you know the platform mechanics, you spot red flags in job posts, you win bids against agencies
• Tech-savvy: you understand CRM, Salesforce and automation, or you learn fast. You do not need to be a dev, you need to sell tech services
• Result-oriented: your metric is calls booked, not proposals sent
• Ukrainian for internal communication

Nice to have:

• Your own analytics habit: you track connects, reply rate, proposal-to-call conversion
• Experience selling B2B consulting or high-ticket IT services

Why EverREST:

• High ticket services: we sell $5k–$50k+ consulting, so the commission side is significant
• No micromanagement, we care about results
• Path to Head of Business Development as the channel scales
• Remote, flexible hours with US timezone overlap

Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users,  agents, or scale. We help midsize and large organizations run customer workflows in the AI era. Headquartered in  Boston, MA, with a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100  countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA. 

We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. 

In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.

Who We’re Looking For:

We are looking for a Full Stack Developer with .NET and Angular experience to join our Engineering Department for collaborating within Scrum teams across our Services, Sales or Marketing Domains.

You should be a strong team player with excellent communication skills, eager to learn and grow, and ready to make an impact from day one. Most importantly, we’re looking for individuals who share our values, believe in collaboration, and want to be part of a workplace where creativity, accountability, and ambition are celebrated

Team composition: 

3 Developers, 1 QA, 1 Technical Lead, 1 Agile Coach, 1 Product Owner

Responsibilities:

• Designing, coding, testing, and debugging back-end and front-end code.
• Collaborating with product owners, business analysts, architects, customer support team.
• Creating web services, Angular components, Creatio configuration, unit, integration, E2E tests.
• Participation in product goal implementation and scrum activities.
• Providing support for resolving customer cases and ensuring faultless Creatio operation. 

Requirements:

• 5+ years of overall programming experience, strongly focusing on .NET and Angular.
• Strong knowledge of object-oriented programming, KISS, SOLID, DRY principles.
• Confident knowledge of C# language and modern .NET platform (.NET6+).
• ASP.NET MVC, ASP.NET Core, experience with the development of Web APIs.
• Up-to-date Angular 15+ experience. You must know how to develop new and optimize existing components. Be able to work in a mono-repository and use RXJS library and pipeline operators.
• Hands-on experience with JavaScript, TypeScript languages, DOM, CSS/SASS. You must be able to style a page or component according to the given UI prototype.
• Source control systems like Git, SVN, experience with branch, merge, rebase.
• Unit testing, mocking, NUnit, Mock, Postman.
• English level - Upper–Intermediate or higher (spoken and business writing).

• Experience working with databases (MS SQL Server, PostgreSQL or Oracle) is a plus.

   

What you should expect from us:

• Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
• Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
• Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
• Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
• Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Business Development Associate — Crypto Ecosystem

Part-time · Remote · Worldwide
 

About n1stake

n1stake is a crypto infrastructure team working with validators, blockchain networks, foundations, and emerging protocols.

About the role 

We are looking for a crypto-native person to represent n1stake and build relationships across the blockchain ecosystem.

This is relationship-led business development, not traditional sales. There are no aggressive sales quotas and no deals to close. Your focus will be finding the right people, starting conversations, applying to relevant programs, and patiently building long-term relationships.

Responsibilities:

• Find and contact protocols, foundations, ecosystem teams, and network representatives
• Grow delegated stake on blockchain networks
• Find and apply to grants and RFPs
• Track and apply to foundation delegation programs
• Identify early validator, genesis, and pre-mainnet opportunities
• Build and maintain a clean pipeline of ecosystem contacts
• Write personalised emails and direct messages
• Follow up with contacts and manage ongoing conversations
• Monitor relevant Discord communities and ecosystem announcements
• Update the relationship pipeline in Notion
   

You will not be responsible for:

• Infrastructure, nodes, or monitoring
• Executing won grants
• Pricing, commissions, or financial decisions
• Signing agreements on behalf of n1stake
   

Requirements:

• Active involvement in crypto, Web3, testnets, Discord communities, or crypto content
• Experience in business development, partnerships, community, grants, or ecosystem work
• Excellent written and spoken English
• Ability to write clear and personalised cold outreach
• Comfortable working independently without daily supervision
• Patient and emotionally resilient when receiving rejection
• Willingness to learn about validators, staking, delegation, and blockchain infrastructure
• Comfortable working with Notion and online communication tools
• Availability for part-time remote work
• Willingness to work using a company-provided corporate email
   

What we offer:

• $500 USDT/USDC monthly base
• Performance bonuses connected to grants, new stake, delegation programs, genesis positions, and token allocations
• Flexible part-time remote work
• Hands-on experience inside a small crypto infrastructure team
• Direct access to protocol and foundation teams
• Training on the technical side of validators and staking
• Opportunity to build a strong crypto network and portfolio of measurable results
 

First-month expectations

• Identify at least 15 relevant contacts with direct communication channels
• Send at least 25 personalised emails or messages
• Submit at least 2 relevant applications
• Start at least 2 live conversations about staking or delegation
   

The first month is focused on activity and quality of outreach, not financial results.
 

The ideal candidate enjoys finding the right person, writing thoughtful messages, following up patiently, and building trust over time.

To apply, please answer the screening questions carefully. The cold outreach exercise is an important part of the selection process.

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