Jobs at Djinni

Level: Senior Engagement: Long-term contract Location: Europe (EU / EEA / UK), remote Working hours: EU business hours, shifted 2–3 hours later to ensure daily overlap with US West Coast (PST/PDT) mornings

About the Client

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

About the Role

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

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

Responsibilities

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

Required Qualifications

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Java or C++, with deep understanding of OOP, systems design, memory management, and concurrency. Candidates strong in both are especially valued.
• SQL & Data: Advanced SQL skills and strong understanding of query execution internals — planning, optimization, and operator implementation.
• Data processing systems experience: Demonstrated experience building or extending data processing systems — query engines, distributed databases, ETL/ELT frameworks, or analytical platforms.
• Engineering experience: 5+ years in backend/systems software engineering, with a track record of owning significant components.
• CI/CD & DevOps: Solid experience with Jenkins and modern engineering workflows.
• Containers & Orchestration: Strong working knowledge of Docker and Kubernetes.
• Cloud: Hands-on experience with at least one major cloud (GCP, AWS, or Azure); exposure to more than one is a strong plus.
• Version Control: Confident with Git / GitHub workflows and rigorous code review practices.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.
• Leadership: Prior experience mentoring engineers, leading technical designs, or owning components end-to-end.

Desired Skills

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

Level: 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

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

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

Loankea is a US mortgage lender. We build and run our own software: a workspace for our staff and a portal where borrowers apply and follow their case. Both are in production and used every day.

You would be the second engineer on this codebase, working directly with the person who built it, and you would carry a task from the issue to production yourself.

Besides the product itself, you would build internal tools and automations for the team, including AI agents for specific business processes.

We are looking for someone who is comfortable with both backend and frontend development, uses AI tools daily, and is accountable for every line they submit, whether they or an agent wrote it.

Requirements

• 1+ year of commercial development experience

• C# and .NET: async, LINQ, dependency injection

• React and TypeScript

• PostgreSQL or another relational database

• AI development tools such as Claude Code, Cursor, Codex or similar

• Comfortable working in an existing codebase and following the conventions already in place

• Writing tests and debugging

• English B1+

Main Stack

• Backend: C#, .NET 10, GraphQL (HotChocolate), EF Core, PostgreSQL, Azure

• Frontend: TypeScript, React 19, Apollo Client, Vite, Tailwind CSS, Radix UI

• Testing: xUnit, Vitest, Testing Library, Testcontainers

• Tools: Git, GitHub Actions, Docker

• AI: Claude Code

GraphQL is a plus, not a requirement. It runs through the whole stack here, and if you have not used it, we will teach you.

We're building a company that provides dedicated engineering teams to clients in the US and Europe — and we're building it from the ground up. Hiring is the engine that makes it work: every client project starts with finding the right engineer.

This is a rare moment to join: the hiring process doesn't exist yet. You'll shape how we source, how we assess, and how we decide. What you build in the first months becomes the way this company hires for years.

We work with engineers across different stacks and seniority levels, so you won't be closing the same role over and over.
 

What you'll be working on

• Sourcing candidates from LinkedIn, Djinni and DOU according to candidate profiles
• Designing technical assessments for roles together with engineers
• Structuring and cooperating with the hiring team of engineers for each role
• Running screening calls and assessing candidates' English
• Standardizing hiring practices so we don't reinvent the wheel every time
• Building the hiring process from scratch and improving it as we grow

Experience that will help you to do the job:

• Strong knowledge of LinkedIn Recruiter and Djinni in talent sourcing
• Understanding of technical skillsets across different engineering roles — front-end, back-end, mobile, QA
• Ability to gather requirements from the team and design a hiring pipeline for new roles
• Writing outstanding messages in English that candidates are willing to reply to
• English good enough to screen candidates and assess their level confidently

Experience that will be a plus:

• Experience in an outstaffing, outsourcing or product company hiring at volume
• Analyzing the job market to budget roles and adapt efficient hiring channels
• Building trust with talents through the company's social media
• Boolean search, X-Ray and AI tools for sourcing

We care for our team, therefore we offer:

• Hiring process deeply integrated with the engineering team
• Full ownership of the hiring function — you build it, not inherit it
• Culture encouraging and promoting professional growth and development
• Competitive salary with review based on your results
• Fully remote work with flexible hours
• Direct work with the founder — decisions in hours, not weeks

• Two-month trial period

   

How we hire:

1. Screening call — 30 minutes, getting to know each other
2. Final call with the founder — 40 minutes, motivation and how you approach the work
3. Offer

Waiting for you CV! 

We are looking for a proactive and ambitious Sales Manager who will be responsible for bringing new clients and growing together with the company.

This role is not just about Sales– we see it as a long-term growth opportunity toward Head of Sales or strategic partner level.

Responsibilities

– Conduct market research and identify target segments
– Build and maintain a structured list of potential clients
– Generate leads via LinkedIn, outbound campaigns, networking, and other relevant channels
– Own communication with prospects from first contact to deal closing
– Work closely with delivery and management teams to grow new accounts
– Support bench management by proactively bringing new opportunities
– Represent the company at industry conferences and business events in Europe
– Be ready for business trips across Europe for networking and client meetings

Nice to have:

– Experience with Upwork or other freelance platforms
– Experience selling software development or AI/ML services
– Understanding of the European or US tech market
– Existing network of decision-makers

What We Are Looking For

– Strong communication and negotiation skills
– Self-driven, growth-oriented mindset
– Strategic thinking and ability to see long-term opportunities
– Desire to grow into a Lead / Head of Sales / future partner role
– Availability and ability to travel across Europe for conferences and client meetings

What We Offer

– Base salary + performance bonuses (bonus structure open for discussion)
– Laptop for work
– Paid business trips (in the future)
– Strong technical team to support sales
– Office in Ukraine (after the war)
– Real opportunity to build and lead the Sales direction together with the CEO

We're a Registered Anthropic Partner and an Official Advanced Tier AWS Partner, currently serving 100+ enterprises and startups across the US, EU, and other Tier 1 markets.
 

We're starting a new product, Tokensaver: unified access to AI models for companies that use AI heavily, with the explicit goal of cutting their AI bill. You'd be the first engineer on it, building from scratch. 

We are looking for a Founding AI Engineer who will build the "Tokensaver" product from scratch.

AI Router technology. This is the core of the product, so it should be the part you're most curious about. We expect candidate to have genuine interest in AI Router technology: model selection, routing logic, caching, fallbacks, and the cost/quality tradeoffs behind each. 

What we expect:

• 3+ years of practical software engineering experience
• You build with AI agents daily and use latest AI coding approaches in your daily workflow
• Tech stack: Node.js, TypeScript, Next.js, PostgreSQL, ClickHouse, basic knowledge of Go or Rust is a plus
• Hands-on experience with LLM APIs, agentic workflows, RAG, embeddings, structured outputs, prompt design, and where models break down
• Experience building or integrating MCP servers, APIs, connectors, and components
• Product-oriented thinking, understanding what to build - product judgment about what to ship and what to deliberately leave out
• Genuine interest in AI Router technology

What we offer and why it's great opportunity:

• Founding ownership. You're the founding engineering hire for Tokensaver product - you choose the architecture, the stack and decision on how to build. 
• Competetive base salary & equity compensation from day 1.
• Clear career growth. There is a clear path to becoming the technical leader of Tokensaver product and building the engineering team around you.
• Work on technology that is just being invented right now. AI routing and multi-model infrastructure are still at a very early stage, with best practices being defined in real time. You’ll work on intelligent model selection, caching, fallbacks, observability, and cost/quality/latency optimization at the frontier of modern AI infrastructure.
• Distribution & real Credibility behind the company from day one. We're a Registered Anthropic Partner and an Official Advanced Tier AWS Partner. Our existing business already serves 100+ companies across the US, Europe, and other Tier 1 markets, giving Tokensaver a strong base for early users, feedback, and distribution.

To apply, please answer 2 questions:

1) How do you use AI tools in your daily work? Be specific - which AI tools, for which parts of the job. 

2) Our goal is to build an AI Router Technology - unified access to AI models that cuts costs for businesses already spending heavily on AI. How would you approach building this from scratch?

We are looking for a Senior Java Full Stack Engineer with React to join our team!

Our client is one of the world's largest fashion retailers, selling in 215 markets through its online platform or its 6,477 stores in 95 markets. We work closely together as a single company globally focused on the key elements of fashion production – design, manufacture, distribution, and retail. All production is founded on three pillars – flexibility, digital integration, and sustainability.

Responsibilities:

• Participate actively and constantly in the design and development of APIs
• Ensure the availability and resilience of services that help the development of the company’s business.
• Ensure the quality of development and code cleanliness (Clean Code)
• Continuously perfect our style guides, design, and code patterns as well as our React component library
• Implement the scripts for the automation of the test cases.
• Automatic and manual exploratory execution during development to verify that the acceptance criteria are covered.
• Maintain and evolve automated test cases with QA.
• Work in close contact with the Product Owner and support the technical definition of product backlog items
• Guarantee continuous deployment; write qualitative, maintainable code with extensive test coverage in a fast-paced professional software engineering environment
• Suggest technical and functional improvements to add value to the product

Requirements:

• 5+ years of extensive Java development experience, Maven
• 2-3 years of Spring Framework and building Spring web applications
• Understanding and experience developing and deploying microservices
• Experience developing REST interfaces, OpenAPI
• Frontend testing and performance optimization
• CSS3/SCSS/HTML5, modern responsive design techniques
• Extensive experience with ES6, React, Redux, Redux-Saga, TypeScript, CSS, RESTful APIs
• Excellent design, coding, and debugging skills
• OOP, OOD, DDD. Proficient in design patterns
• Working knowledge of relational databases, NoSQL technologies – MongoDB
• Working knowledge of Kafka, Kafka streaming (can be optional)
• Experience with different clouds – AWS, Azure
• Working knowledge of OpenShift, Kubernetes
• Familiar with Graylog, Grafana
• Working experience in an Agile environment, a clear understanding of the Agile methodology mindset, and development practices applicable to it
• Excellent communication, organizational, and facilitation skills, product-oriented mindset, focus on team results, willingness to continuous personal and team improvements, leadership qualities, and resilience.
• Upper-Intermediate/Advanced English level (there will be a lot of communication with the client)

We offer:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team-building

Umbrelly.Cloud is a B2B US product company.
 
Our mission is to help businesses which use AWS reduce their cloud bill & provide world-class technical support. Umbrelly is an Official Advanced Tier Partner of AWS, and currently serving 100+ enterprises & startups from US, EU and other Tir 1 countries. 

We are looking for an Junior Partnership Manager (AWS) who will take care of our APN (AWS Partner Network):
https://partners.amazonaws.com/partners/0018W00002XmWeCQAV/Umbrelly.Cloud 

Why it’s great to build your career around AWS: 

• AWS is the world’s largest cloud infrastructure provider, generating more than $120 billion in annual revenue.
• AWS is Amazon’s most profitable business segment and one of the most important technology platforms globally.
• Cloud expertise is highly valued and well compensated — professionals with strong AWS knowledge are in demand across the market.
• You can grow fast with us: there is a clear path from Junior to Senior-level roles within 3 years, with significant growth in responsibilities and compensation along the way.
  
  What We Expect from an AWS Partner Manager:
• Huge energy, interest & ambition to grow in a specific area: AWS Partner Network (APN).
• You should be able to research and explain what are the Tiers of partnership with AWS, what is competencies, certification exams
• English both written and speaking
• You should show your previous achievements either in career, education or personal life
  
  Why Umbrelly is a Great Place to Work and Grow: 
• Clear way for career growth to Senior Roles.
• Potential to earn salary way higher then market average. We offer base salary + opportunity to earn uncapped Bonuses for Growing our AWS Partnership. Each badge, opportunity, cerfitication, new partnership level you helped to achieve would be covered with generous bonus.
• Proven product-market fit. Our model has been working successfully for 3+ years, with 100+ B2B customers closed to date.
• We already maintain Advanced Level Partnership with an AWS.
• Experienced leadership. Umbrelly.Cloud is run by an experienced C-level team and backed by prominent investors.

Umbrelly.Cloud is a B2B US product company.
 
Our mission is to help businesses which use AWS reduce their cloud bill & provide world-class technical support. Umbrelly is an Official Advanced Tier Partner of AWS, and currently serving 100+ enterprises & startups from US, EU and other Tir 1 countries. 

We are looking for an AWS Partner Manager who will take care of our APN (AWS Partner Network):
https://partners.amazonaws.com/partners/0018W00002XmWeCQAV/Umbrelly.Cloud 

What We Expect from an AWS Partner Manager:
- 1+ years practical experience working with an AWS APN Portal
- Develop, drive and execute a strategic partner plan with AWS to achieve revenue growth.
- Track progress on company-level AWS competencies and coordinate with internal teams to complete them.
- Manage new badges, certificate exams in the AWS APN Partner Console. 
- Build strong relationships with AWS partner managers, solution architects, and business development teams.
- Manage joint GTM initiatives, including co-selling, co-marketing, and solution development.
- Negotiate and structure strategic partnership agreements.
- Enable internal sales and customer success teams to leverage AWS partnerships effectively.
- You should be able to tell us something new about partnership with AWS, we previously don't know. 

It would be a plus: 
- Strong understanding of AWS marketplace, cloud economics, and consumption models.

Why Umbrelly is a Great Place to Work and Grow: 

• Clear way for career growth. If you’re ambitious and consistently deliver strong results for 6 months, you’ll have an opportunity to get options & equity compensation. 
• Potential to earn salary way higher then market average. We offer base salary + opportunity to earn uncapped Bonuses for Growing our AWS Partnership. Each badge, opportunity, cerfitication, new partnership level you helped to achieve would be covered with generous bonus.
• Proven product-market fit. Our model has been working successfully for 3+ years, with 100+ B2B customers closed to date.
• We already maintain Advanced Level Partnership with an AWS.
• Experienced leadership. Umbrelly.Cloud is run by an experienced C-level team and backed by prominent investors.

The role

Principal DevOps Engineer to design and build the AWS infrastructure and delivery platform the new gaming platform will run on. Greenfield: define the cloud foundation — account structure, networking, Kubernetes platform, CI/CD, observability — before the first production workload lands, then scale it to sportsbook peak traffic for millions of players. The platform must hold under live-betting spikes, strict uptime expectations for a money-moving system, and gaming-regulator audit and compliance requirements. Hands-on technical leader: writes infrastructure code daily, sets platform standards, and is the technical authority on how software is built, shipped and operated.

What you will do

• Design the AWS foundation from scratch: multi-account architecture (AWS Organizations), landing zone, VPC and networking, IAM strategy, cost governance
• Build and operate the container platform — Amazon EKS, service mesh, autoscaling tuned for spiky sportsbook load, multi-AZ (and where justified multi-region) resilience
• Define everything as code: Terraform for all infrastructure, GitOps delivery (Argo CD or similar), paved-road CI/CD pipelines so product teams ship safely and often
• Establish the observability stack — metrics, logging, tracing, alerting (Prometheus/Grafana, OpenTelemetry, CloudWatch) — and drive an SLO-based reliability practice with error budgets
• Own production readiness: incident response, on-call design, runbooks, chaos/load testing ahead of major sporting events, blameless postmortems
• Build the infrastructure side of the migration off the current third-party platform: dual-running environments, data migration pipelines, cutover mechanics
• Embed compliance into the platform: audit trails, environment segregation, backup/DR, controls that satisfy gaming regulators by construction
• Partner with the AI coding platform team: provision and operate the infrastructure behind AI-assisted development, and bring AI tooling into DevOps workflows
• Mentor engineers across teams on cloud-native and operational best practices; set organization-wide standards

Must have

• 10+ years of DevOps / platform / infrastructure engineering, including 3+ years at staff/principal level with organization-wide influence
• Deep hands-on AWS: EKS, EC2, RDS/Aurora, networking (VPC, Transit Gateway, Route 53), IAM at scale, multi-account architectures (AWS certifications such as SA Professional / DevOps Professional are a plus)
• Expert-level infrastructure as code with Terraform
• Strong Kubernetes operational depth: day-2 operations, upgrades, capacity, cost
• Track record of building CI/CD and developer platforms engineering teams adopted willingly — golden paths, not gatekeeping
• Observability and SLO/error-budget practice (Prometheus/Grafana, OpenTelemetry, CloudWatch)
• Experience operating high-availability, high-throughput production systems with real traffic spikes, with documented playbooks from real incidents
• Strong scripting/programming (Python, Go or Bash) and comfort reading application code
• Experience designing backup, disaster recovery and business continuity for systems where data loss is not an option
• Excellent written and spoken English; communicates platform decisions clearly to engineers and executives

Nice to have

• Hands-on use of AI coding tools (Claude Code, Codex) for infrastructure, pipelines and ops automation — a significant plus
• Security engineering: cloud security posture management, secrets management (e.g. Vault), vulnerability management, SAST/DAST/SCA in CI/CD, ISO 27001 / SOC 2 / PCI DSS
• iGaming, sports betting, fintech or another regulated, high-transaction-volume domain
• Migration off a third-party vendor platform
• Event-streaming infrastructure (Kafka/MSK) and database operations at scale
• Polish and/or Spanish

Social Media & PR Manager 

About Ferla Bikes

Ferla Bikes is a fast-growing U.S.-based company operating across two distinct divisions:

• Commercial Division: Providing entrepreneurs and corporations with innovative mobile business solutions.

• Family Division: Designing premium cargo bikes and electric bikes for families and everyday riders.

We are seeking an independent, open-minded, and highly motivated Social Media Manager to strengthen our digital presence, grow engaged communities, and support content strategy across both divisions.

This is a remote, full-time position for a creative and organized professional who understands both B2B and B2C marketing and knows how to turn brand stories into compelling, results-driven content.

Key Responsibilities

• Develop and execute social media strategies across Instagram, Facebook, LinkedIn, and Reddit.

• Grow and manage engaged communities across our social platforms.

• Lead LinkedIn content development, engagement, and account growth.

• Build and manage content calendars for both the Commercial and Family divisions.

• Work closely with the Marketing Director to plan content production days, campaigns, and creative workflows in advance.

• Prepare clear technical assignments, briefs, and deadlines for video editors and other creative team members.

• Create and adapt social media assets using Canva, Figma, and other marketing tools.

• Support paid social campaigns, with a strong focus on targeted advertising and retargeting.

• Assist with PR initiatives, media outreach, and brand storytelling.

• Schedule, publish, and monitor content while maintaining a consistent brand voice.

• Track performance, identify opportunities, and recommend improvements based on engagement and campaign results.

• Collaborate with leadership and cross-functional teams on product launches, promotions, and brand campaigns.

Required Qualifications

• Proven professional experience in social media management.

• Experience with both B2B and B2C marketing.

• Strong understanding of Instagram, Facebook, LinkedIn, and their respective audiences.

• Experience with targeted social media advertising, particularly retargeting campaigns.

• Proficiency in Canva and familiarity with Figma and modern marketing tools.

• Strong content-planning, project-management, and organizational skills.

• Ability to create clear creative briefs and technical assignments for editors.

• Ability to work independently, manage multiple priorities, and meet deadlines.

• Strong written and verbal communication skills in both English and Russian.

• Availability to work until at least 12pm Pacific Time.

• A portfolio must be submitted with the application.

Preferred Qualifications

• Proven success in targeted and retargeted campaigns on Meta.

• Proven success in growing and engaging audiences on LinkedIn.

• Experience managing or participating in Reddit communities.

• PR, media relations, or influencer outreach experience.

• Experience coordinating content shoots and post-production workflows.

• Familiarity with performance reporting and social media analytics.

What We’re Looking For

The ideal candidate is proactive, creative, detail-oriented, and comfortable taking ownership. You should be able to think strategically while also managing day-to-day execution: from planning content and briefing editors to publishing posts, engaging with the community, and supporting retargeting campaigns.