Jobs at Djinni

IT Recruiter & Career Consultant

Full-time | Fully Remote

We are looking for an experienced IT Recruiter & Career Consultant who not only has a strong understanding of technical recruitment but can also help IT professionals position themselves effectively in the market and find relevant career opportunities.

In this role, you will combine practical IT recruitment and career consulting: analyzing candidates’ profiles, helping them improve their CVs and LinkedIn profiles, preparing them for interviews, developing job-search strategies, and supporting candidates throughout their journey toward receiving an offer.

What you will do

• Conduct career diagnostics: analyze candidates’ experience, professional goals, strengths, and areas for improvement.
• Assess candidates’ soft skills, hard skills, and professional positioning.
• Create and optimize CVs, LinkedIn profiles, and cover letters.
• Adapt CVs and profiles to specific roles, vacancies, and international markets.
• Develop a Career Strategy Map by identifying target roles, companies, markets, and job-search strategies.
• Conduct salary benchmarking and help candidates determine a realistic salary range.
• Prepare candidates for HR and technical interviews.
• Conduct mock interviews, analyze answers, and provide constructive feedback.
• Create personalized Interview Scripts and help candidates improve their self-presentation.
• Advise candidates on job searching through LinkedIn, Djinni, DOU, Indeed, and other job boards.
• Teach candidates effective direct outreach and communication with recruiters and employers.
• Analyze job descriptions and help candidates build a relevant shortlist.
• Support candidates throughout their active job search, including applications, written communication, interview coordination, and progress tracking.
• Analyze interview feedback and adjust the job-search strategy accordingly.
• Help candidates navigate the journey from the first application to a relevant job offer.
• Participate in diagnostic consultations before the sale of career services.
• When needed, assist with onboarding new employees, internal documentation, and team training.
•  

Who we are looking for

• 3+ years of experience in IT recruitment, preferably at Middle/Senior level.
• Hands-on experience hiring Developers, Software Engineers, QA/Testers, and other technical specialists.
• Experience with the full recruitment cycle: sourcing → screening/interview → assessment → offer/closing.
• A significant track record of successfully filling technical positions is a strong advantage.
• Strong understanding of IT terminology, technical roles, and core technology stacks.
• Ability to understand the logic behind technical job requirements and assess candidate fit.
• Practical understanding of how recruiters and hiring managers evaluate CVs, LinkedIn profiles, and candidates’ experience.
• Experience working with international markets or international candidates is a plus.
• Previous career consulting experience is not required — a strong recruitment background and the ability to advise candidates are more important.
• English — B1–B2.
•  

Hard Skills

• IT Recruitment — strong understanding of the full recruitment cycle and technical roles.
• CV / LinkedIn — auditing, rewriting, positioning, and adapting profiles.
• Interviewing — HR screening, mock interviews, interview preparation, and feedback.
• Career Consulting — Career Strategy Map, salary benchmarking, and job-search strategy.
• Job Search Tools — LinkedIn, Djinni, DOU, Indeed, and other job boards.
• Outreach & Cover Letters — direct outreach and professional written communication.
• Analytics & Process — Notion/CRM, tracking, reporting, and monitoring candidate progress.
• AI Tools — willingness to use AI tools in day-to-day work.
•  

What we are looking for in an IT Recruiter & Career Consultant

• Proactive — independently identifies opportunities, suggests solutions, and improves processes.
• Structured — can organize large amounts of candidate information and turn insights into a clear action plan.
• Strong communicator & empathetic — knows how to build trust and provide honest, constructive feedback.
• Expert mindset — can explain to candidates not only what needs to be changed, but also why it matters from a recruiter’s and employer’s perspective.
• Self-directed — comfortable managing several candidates simultaneously without constant micromanagement.
• Result-oriented — focuses on real candidate progress, relevant interviews, and successful offers.
•  

If you have strong practical experience in IT recruitment, understand technical roles and the IT market, and want to expand your expertise into career consulting, we would be happy to meet you.

UTECH — a SaaS product company, offering innovative technologies that empower industry-leading logistics and transportation companies the ability to support and maintain business growth. Among our projects, you can find, GPStab ELD, UTECH TMS, etc. UTECH is an exceptional well-established company with a team of professionals who are always eager to support you and now you have a great chance to join our family-type company with a friendly atmosphere because we’re currently looking for a Customer Support Representative.

Required Skills and Experience

• Fluent in English — Upper-Intermediate level and higher (B2+)
• Schedule: Day (8:00 am — 8:00 pm) and night (8:00 pm — 8:00 am) shifts and then two days off;
• Multitasking
• Ability to learn fast
• Ability to work in a high-paced environment
• Problems solving
• Team player
• Good diction
• Will be good if you have experience in the call center

Responsibilities

• Picking up calls
• Replying to emails
• Performing troubleshoot
• Consulting about the application

What will you get with UTECH?

• Health Coverage (gym, medical insurance, yoga, dentist, etc.)
• Technical Growth compensation (training, meet-up, conference, etc.)
• PTO and paid sick leave
• Life Event Bonuses
• Exciting team buildings
• Regular performance reviews
• Free English courses, which are paid for by the company
• Game & lounge zones (ping-pong, table football, etc.).
• Accounting as a service
• Memorable anniversary presents
• Ability to work in a successful company
• Convenient office location
• Experienced colleagues who are ready to share knowledge
• Friendly atmosphere, care for the comfort of specialists
• Tea, and coffee in the office, at the expense of the company

Software Engineer – AI, Data & Full Stack

Employment Type: Full-Time, Remote
Working Hours: U.S. Time Zone
Salary: $2,000–$2,500 USD per month

About the Role

We are looking for a Software Engineer – AI, Data & Full Stack to join our engineering team and build production-ready AI applications, backend services, data pipelines, and modern web applications.

The ideal candidate has strong experience with Python, FastAPI, AI/LLMs, RAG, MCP, Vue.js, and Angular, along with practical knowledge of cloud infrastructure and CI/CD.

The position is 100% remote, but candidates must be available to work during U.S. business hours.

Key Responsibilities

• Develop backend applications and APIs using Python and FastAPI.
• Build responsive frontend applications using Vue.js and Angular.
• Integrate frontend applications with REST APIs and AI-powered backend services.
• Build AI applications using LLMs, Generative AI, RAG, and AI agents.
• Develop and integrate Model Context Protocol (MCP) servers and tools.
• Design and optimize prompts using modern prompt engineering techniques.
• Implement embeddings, semantic search, and vector database solutions.
• Build data processing, ETL, and machine-learning pipelines.
• Integrate external APIs and third-party platforms.
• Design scalable REST APIs and microservices.
• Containerize applications using Docker.
• Build and maintain CI/CD pipelines using CircleCI.
• Deploy and maintain applications on AWS.
• Write unit, integration, and API tests.
• Monitor and troubleshoot applications in production.
• Participate in code reviews and architecture discussions.
• Collaborate with engineering, data science, AI, and product teams.

Required Technical Skills

Backend

• Python
• FastAPI
• REST APIs
• Pydantic
• Async Python
• SQL
• PostgreSQL

• Redis

   

Frontend

• Vue.js
• Angular
• JavaScript
• TypeScript
• HTML5
• CSS3
• REST API integration
• Responsive web development
• Modern frontend architecture and component-based development

Experience with Pinia/Vuex, RxJS, Angular Material, Tailwind CSS, or Bootstrap is a plus.

AI / LLM Engineering

• Large Language Models (LLMs)
• Generative AI
• Model Context Protocol (MCP)
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering
• AI Agents / Agentic AI
• Tool and function calling
• Embeddings
• Semantic search
• Vector databases
• LLM evaluation and testing

Experience with LangChain, LangGraph, LlamaIndex, OpenAI, Anthropic, or AWS Bedrock is highly desirable.

Data Science & Data Engineering

• Pandas
• NumPy
• Scikit-learn
• Data preprocessing
• ETL/data pipelines
• Machine learning fundamentals
• Model evaluation

• Data analysis

   

DevOps & Cloud

• AWS
• Docker
• CI/CD
• CircleCI
• Git / GitHub
• Linux
• Cloud deployment and monitoring

Experience with Kubernetes, Terraform, GitHub Actions, AWS ECS/ECR, Lambda, S3, RDS, CloudWatch, IAM, and Bedrock is a plus.

Additional Preferred Skills

• Multi-agent AI systems
• MCP server architecture
• Langfuse or similar AI observability platforms
• RAG/LLM evaluation frameworks
• Microservices architecture
• Multi-tenant SaaS architecture
• OAuth 2.0 / JWT
• WebSockets
• Celery
• Kafka, RabbitMQ, or AWS SQS
• Pytest
• MLOps
• Application monitoring and observability
• Agile/Scrum development

Qualifications

• 5+ years of professional software engineering, full-stack engineering, AI/ML engineering, or related experience.
• Strong hands-on experience with Python.
• Professional experience with Vue.js and/or Angular.
• Experience developing REST APIs with FastAPI or similar Python frameworks.
• Practical experience building applications using LLMs and Generative AI.
• Understanding of RAG, MCP, embeddings, vector search, and prompt engineering.
• Experience with Docker and CI/CD.
• Familiarity with AWS cloud infrastructure.
• Strong debugging and problem-solving skills.
• Ability to work independently in a remote environment.
• Good written and verbal English communication skills.
• Ability to work and collaborate during U.S. business hours.

Position Details

Salary: $2,000–$2,500 USD/month
Employment: Full-Time
Location: 100% Remote
Working Hours: U.S. Time Zone

We are looking for an engineer who can work across the full application stack—from Vue.js/Angular frontends and Python/FastAPI backend services to RAG, MCP, AI agents, data pipelines, AWS infrastructure, and production deployment.

Are you passionate about building scalable Big Data solutions and optimizing high-load platforms? We are looking for a Senior Big Data Engineer to join a long-term project in the cybersecurity and AdTech domain focused on real-time risk assessment for digital advertising ecosystems.

We at Sigma Software offer the opportunity to work on impactful products, collaborate with experienced engineering teams, and contribute to solutions operating on large-scale datasets in a fast-paced environment. You will have the freedom to influence technical decisions and drive meaningful improvements across the platform.

CUSTOMER

Our Customer operates in the cybersecurity domain and develops solutions aimed at protecting organizations and digital ecosystems from online risks and vulnerabilities. The company focuses on building advanced technologies that improve security, reliability, and operational resilience across various industries. 

PROJECT

The project is a real-time risk assessment platform for digital advertising ecosystems. The solution helps customers identify potentially low-quality or fraudulent traffic and automatically make decisions before allocating advertising budgets. The platform processes large-scale data streams and requires continuous improvements in performance, scalability, and cost efficiency.

At the initial stage, the role will focus on Snowflake optimization and identifying inefficiencies in data pipelines and SQL queries. In the long term, the engineer will contribute to backend development, platform architecture improvements, and implementation of scalable Java-based services.

RESPONSIBILITIES:

• Optimize Snowflake usage and improve infrastructure cost efficiency
• Identify inefficiencies in data pipelines and SQL queries
• Implement performance and cost optimization improvements
• Enhance and maintain Java-based services
• Implement and support new platform features
• Improve existing engineering processes and platform components
• Develop scalable and reliable solutions for high-load environments
• Contribute to architecture improvements and implementation of new components
• Collaborate with distributed engineering teams to deliver stable platform functionality

REQUIREMENTS: 

• At least 5 years of commercial experience in Big Data engineering
• Strong hands-on experience with Snowflake
• Strong expertise in Python
• Strong expertise in Java
• Advanced SQL knowledge and experience optimizing complex queries
• Solid Computer Science fundamentals
• Upper-Intermediate or higher English level

WILL BE A PLUS

• Experience with AWS cloud services
• Experience working with Amazon S3
• Experience in AdTech, cybersecurity, fraud detection, or risk assessment domains

PERSONAL PROFILE

• Proactive and ownership-driven mindset
• Strong analytical and troubleshooting skills
• Ability to work effectively in fast-paced environments
• Team-oriented communication style
• Focus on scalable and maintainable engineering solutions

Are you passionate about cybersecurity research and uncovering sophisticated attack patterns? We are looking for a Threat Research Analyst to join a remote team working on advanced application protection solutions for a global Customer in the cybersecurity domain.

In this role, you will investigate suspicious activity, analyze attack vectors, and help improve detection and blocking mechanisms for modern web applications. You will work with monitoring systems, behavioral analytics, and threat intelligence data to proactively identify emerging threats and strengthen platform security.

We at Sigma Software offer the opportunity to work on impactful security products, collaborate with experienced professionals, and grow your expertise in modern cybersecurity technologies while working remotely within European time zones.

CUSTOMER
Our Customer is a global cybersecurity company delivering comprehensive security solutions for businesses, organizations, and digital ecosystems. Operating across multiple industries, the company focuses on preventing cyber threats, identifying vulnerabilities, and protecting web applications from sophisticated automated attacks. 

PROJECT
The project is focused on building a security platform that safeguards applications from automated attacks and malicious traffic. The Threat Research team investigates emerging attack techniques, analyzes suspicious behavioral patterns, and develops detection and blocking mechanisms to improve overall protection capabilities.

As part of the team, you will work with logs, dashboards, threat intelligence data, and monitoring systems to uncover new attack vectors and enhance application security in real-world environments.

RESPONSIBILITIES:

• Monitor existing threats and investigate suspicious activities using logs, dashboards, and detection systems
• Analyze attack patterns and build detailed threat scenarios based on collected data
• Research and respond to reported threats, Customer escalations, and security incidents
• Improve detection and blocking mechanisms for automated attacks and malicious behaviors
• Analyze intelligence from competitors, public sources, and industry trends to identify emerging threats
• Work with monitoring and analytics tools such as Kibana and Elasticsearch
• Collaborate with engineering and security teams to improve product protection capabilities
• Document findings, attack methodologies, and investigation results

REQUIREMENTS:

• At least 3 years of commercial experience in cybersecurity, threat research, or related areas
• Hands-on experience in cybersecurity, threat detection, security research, threat hunting, anti-bot solutions, fraud and abuse detection, application security, or a closely related security domain.
• Strong understanding of attacker tactics, techniques, and behaviors, including methods used to evade, bypass, or modify attacks to avoid detection.
• Experience investigating suspicious or malicious activities, with a solid understanding of detection, alerting, and blocking mechanisms.
• Strong understanding of web technologies and architecture, including:
  • Client-server architecture
  • HTTP/HTTPS protocols
  • REST APIs and web services
  • Request/response lifecycle
  • Headers, cookies, sessions, and authentication mechanisms
• Understanding of browser technologies and experience investigating:
  • DOM structure and manipulation
  • Browser events
  • XHR and Fetch requests
  • WebSockets
  • Browser APIs
  • Browser security policies and controls
• Ability to read and analyze JavaScript code, identify application behavior, detect suspicious or incorrect logic, and understand potential remediation approaches. Deep JavaScript development expertise is not required.
• Working knowledge of HTML and CSS sufficient to investigate and understand web application behavior.
• Strong practical experience with SQL for data analysis, investigations, and working with large datasets.
• Hands-on experience using Kibana for log analysis, monitoring, and investigations.
• Solid understanding of networking fundamentals, including:
  • TCP/IP
  • DNS
  • VPN technologies
  • Proxies
  • Basic network troubleshooting
• Ability to independently investigate complex technical issues and correlate multiple data points to build a complete attack or incident scenario.
• Experience using AI-powered tools and chatbots for research and technical investigations, including the ability to write effective prompts and interpret results.
• Upper-Intermediate (B2) or higher level of English.

WILL BE A PLUS

• Understanding of Elasticsearch and its ecosystem.
• Python scripting and automation skills.
• Experience developing, analyzing, or investigating crawlers, scrapers, or browser automation tools.
• Experience with deobfuscation and/or reverse engineering techniques.
• Experience investigating bot traffic, automated attacks, scraping activity, credential stuffing, account takeover attempts, abuse, fraud, or similar threats.
• Experience with monitoring, analytics, and observability platforms such as Datadog, Imply, Splunk, Microsoft Sentinel, OpenSearch, or similar tools.

PERSONAL PROFILE

• Strong analytical and investigative mindset
• Attention to detail and ability to identify unusual behavioral patterns
• Curiosity about cybersecurity threats and attacker techniques
• Ability to work independently in a fast-paced environment
• Strong communication and collaboration skills
• Proactive approach to problem-solving and continuous learning

About the Role
Client is developing a SaaS platform for the inspection and analysis of engineering structures based on large-scale 3D data.
We are looking for a Senior 3D Web Engineer to strengthen our team and take ownership of advanced 3D visualization challenges, including the integration of next-generation rendering technologies such as WebGPU.
You will work on a production system built on LuciadRIA, handling complex datasets with high demands on performance, scalability, and precision.

Your Responsibilities

• Develop and optimize web-based 3D visualization features within our platform
• Work with and extend our LuciadRIA-based 3D engine
• Design and implement high-performance rendering pipelines using WebGPU
• Handle large-scale datasets (e.g. photogrammetry, point clouds, meshes)
• Improve rendering performance, memory usage, and responsiveness
• Collaborate with frontend and backend developers (Angular, Node.js, TypeScript)
• Contribute to architectural decisions and guide less experienced developers

Tech Stack

• 3D Engine: LuciadRIA
• Frontend: TypeScript, Angular
• Backend: Node.js
• Infrastructure: GitLab, PostgreSQL, S3-compatible storage

Required Skills

• Strong JavaScript skills
• Solid understanding of 3D fundamentals
• Experience with at least one 3D framework (LuciadRIA preferred)
• Strong experience in web-based 3D visualization using WebGPU
• Proven experience with real-time 3D rendering in the browser
• Experience optimizing performance in large or complex 3D scenes

Preferred Skills

• Backend experience (Node.js) and data integration
• Experience with geospatial 3D systems or large coordinate spaces
• Experience with photogrammetry, point clouds, or mesh processing pipelines
• Experience with Gaussian Splatting or similar rendering techniques

Gamzix is a high-growth international licensed iGaming provider, creating high-performing games and scalable, cutting-edge solutions for the global market.
Our team of 150+ specialists operates globally, with Warsaw as our main hub office. We are driven by continuous improvement and a people-first culture where we communicate openly, win together, and truly enjoy the game we’re building.
We operate under an MGA B2B Critical Supply License and certifications from iTechLabs and GLI, ensuring our products meet high standards of quality, compliance, and performance across markets.
 

We are looking for a 2D Animator, who will play an important role in bringing games to life through high-quality, engaging, and performance-optimized animation.
 

Responsibilities
— Create 2D animations of varying complexity for slot games, including characters, creatures, game symbols, UI elements, backgrounds, win screens, and VFX
— Develop advanced animations in Spine 2D, including complex skeletal setups, mesh deformation, constraints, skin systems, and multi-track animations
— Prepare and deliver clean, optimized export files for developers, including JSON, atlas, and sprite sheets
— Work closely with Art Leads, Art Directors, Game Designers, and Developers throughout the game development process
— Receive and incorporate feedback from Animation Leads and Art Directors while maintaining high creative and technical standards
— Make independent technical decisions, estimate complex animation tasks, and solve non-standard pipeline challenges
— Optimize animation assets for mobile and web platforms, balancing visual quality with performance requirements
— Contribute to and maintain technical documentation related to animation when needed
— Ensure animations meet the requirements and expectations of the project while maintaining a high level of quality and consistency
 

Requirements
— 3+ years of commercial experience as a 2D Animator, specifically in iGaming / slot game development
— Deep understanding of slot game mechanics and how animation supports gameplay, features, and player experience
— Strong portfolio demonstrating complex character and creature animation, advanced Spine setups, and dynamic slot visuals
— Advanced knowledge of Spine 2D, including complex skeletal setups, dynamic mesh deformation, bone weights, IK, Path and Transform constraints, multi-tier skin systems, and working with tracks
— Experience creating high-level animations for complex UI elements, premium game symbols, backgrounds, and multi-stage win screens
— Strong understanding of mobile and web optimization principles for Spine animations, including draw call reduction, mesh weight optimization, and efficient texture atlas packing
— Ability to produce clean, optimized export files tailored to strict target platform requirements
— High level of autonomy and ownership, with the ability to make technical decisions and independently solve complex animation and pipeline challenges
— Strong attention to detail and ability to balance visual quality, technical limitations, and performance
— Ability to work effectively in a collaborative environment and communicate clearly with cross-functional teams

Would be a big plus:
— High proficiency in Adobe After Effects for pre-visualization, VFX compositing, and motion design
— Hands-on experience with Trapcode Particular, Saber, RTFX, or similar plugins
— Basic understanding of game engines, such as Unity or PixiJS
— Experience working with animation pipelines for mobile and web games
 

What we offer
— Competitive market-level compensation in the iGaming industry
— Opportunity to work on high-quality slot games for the global market
— Fully remote format
— Collaboration with experienced Art, Game Design, and Development teams
— Opportunity to work on a dedicated partner project and contribute directly to its visual quality
— Opportunity to work with advanced Spine animation and complex game mechanics
— Dynamic environment with room for creative growth and professional development
 

Please note that feedback on your application will be provided within two weeks if a positive decision is made regarding your candidacy.
 

I give my consent in accordance with the Law on the Protection of Personal Data dated June 1, 2010, No. 2297, effective from January 1, 2011, for the processing of information classified as personal data.

Requirements:

• 2+ years of experience as a Salesforce Administrator.
• Hands-on experience with Tableau Desktop and/or Tableau Cloud/Tableau Server.
• Strong understanding of Salesforce data model, security model, and declarative configuration.
• Experience creating and maintaining reports, dashboards, and data visualizations.
• Experience with Salesforce Flows, Validation Rules, Custom Objects, and Permission Sets.
• Understanding of data analysis principles and reporting best practices.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• English — Upper-Intermediate (B2) or higher.

• Ukrainian — Upper-Intermediate (B2) or higher.

   

Responsibilities:

• Administer, configure, and maintain the Salesforce platform.
• Manage users, roles, profiles, permission sets, and security settings.
• Configure custom objects, fields, page layouts, validation rules, Flows, and other declarative features.
• Create, maintain, and optimize Salesforce reports and dashboards.
• Develop and maintain Tableau dashboards and visualizations to support business reporting.
• Analyze business requirements and translate them into scalable Salesforce and Tableau solutions.
• Ensure data quality, integrity, and consistency across Salesforce and reporting environments.
• Collaborate with Business Analysts, Developers, Project Managers, and other stakeholders.
• Troubleshoot Salesforce and Tableau-related issues and provide user support.
• Prepare documentation and conduct knowledge-sharing sessions for end users.

Nice to Have:

• Salesforce Administrator Certification.
• Tableau Desktop Specialist or Tableau Certified Data Analyst certification.
• Experience with CRM Analytics (Tableau CRM).
• Experience with Salesforce Data Cloud.
• Familiarity with ETL processes and data integration tools.
• Experience working in Agile/Scrum environments.
• Knowledge of Apex or SOQL.

We Offer:

• Budget for Medical Insurance
• Budget for Wellbeing
• Paid vacation
• Paid sick leaves
• “Synebo talk” internal educational program
• English lessons
• Team building activities online/offline
• Salesforce certification
• Regular cultural events

Stay Group is an innovative Marketing company with a mission to help businesses acquire their target customers and create top-tier solutions in the iGaming and entertainment industry. Currently, we are looking for our perfect DevOps Engineer to join our team and help us build scalable, reliable, and secure infrastructure.

Requirements:

• 3+ years of commercial experience as a DevOps Engineer.
• Strong hands-on experience with Kubernetes (GKE, EKS, and self-hosted clusters).
• Experience deploying and maintaining cloud infrastructure on AWS and/or Google Cloud Platform.
• Experience with CI/CD pipelines using GitLab CI/CD.
• Strong knowledge of Docker and containerized application deployment.
• Experience configuring and managing Cloudflare services, including WAF, SSL/TLS, DNS, and API automation.
• Experience with monitoring, logging, and observability tools:
  • Prometheus,
  • Grafana,
  • ELK Stack.
• Experience with database administration:
  • MySQL,
  • PostgreSQL,
  • MongoDB.
• Understanding of cloud cost optimization (FinOps).
• Experience with Infrastructure as Code and automation.
• Strong troubleshooting, analytical thinking, and ownership mindset.
• English level sufficient for reading technical documentation and communicating with international teams.

Will be a plus:

• Experience with Datadog (APM, RUM, Logs).
• Experience configuring Global Load Balancers in Google Cloud.
• Experience building scalable, high-load infrastructure.

Key Responsibilities:

• Design, build, and maintain highly available cloud infrastructure.
• Configure and manage Cloudflare services, including WAF, SSL/TLS, DNS, and API automation.
• Deploy, maintain, and optimize Kubernetes clusters across GKE, EKS, and self-hosted environments.
• Build and improve CI/CD pipelines using GitLab CI/CD.
• Automate Docker image builds and deployment processes.
• Implement and maintain monitoring, logging, alerting, and observability solutions using Prometheus, Grafana, and ELK.
• Optimize cloud infrastructure performance, scalability, and cost efficiency.
• Configure auto-scaling and load balancing for cloud environments.
• Administer and support production databases.
• Collaborate closely with Development, QA, Product, and Security teams to improve infrastructure reliability and delivery processes.

Benefits

Freedom to choose where to work: work from anywhere in the world with the freedom of remote options.

Flexibility: enjoy flexible working hours that let you balance your personal and professional life while staying focused on delivering great results.

Corporate English speaking club: improve your English proficiency with regular practice and expert guidance.

A Culture That Cares: thrive in a friendly environment where a strong corporate culture builds connections, drives innovation, and makes you feel truly valued.

Accelerate Your Growth: seize career advancement opportunities in a rapidly expanding marketing company. As the company scales, so will your professional journey.

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

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 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

We're looking for someone who genuinely understands how Reddit works - not someone who simply posts content and hopes for the best.
 

Location: Prague office or remote
Employment: Full-time
 

What you'll do

• Launch, manage and optimize Reddit Ads campaigns
• Set up and manage two official brand subreddits
• Create native Reddit content and community campaigns
• Run promotional campaigns and AMAs
• Monitor brand mentions and community feedback
• Handle reputation management and public discussions
• Build relationships with relevant subreddit moderators
• Analyze results and improve our Reddit strategy
 

What we're looking for

• 1+ year of hands-on Reddit experience
• Experience with Reddit Ads
• Background in digital / performance marketing
• English B2/C1
• Experience with community management and moderation
• Good understanding of Reddit culture and community guidelines
• Analytical mindset and willingness to test and optimize
 

What we provide

• All necessary software and tools
• Dedicated advertising budget
• Resources for community and promotional campaigns
• Opportunity to build the Reddit direction from scratch

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

About the Client

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

About the Role

We are looking for a Middle-level SDET to design and maintain automated tests for a large-scale distributed data platform. You will validate the correctness, performance, and reliability of the query engine, connectivity layer, and backend services across all major clouds.

This is a data-heavy, backend-focused role. We are not looking for web/UI QA engineers — the work centers on validating distributed query execution, data correctness at scale, connectivity drivers, and backend microservices.

Responsibilities

• Develop and maintain automated tests in Python / pytest for backend services, REST APIs, and distributed data components.
• Write end-to-end, integration, and regression tests covering SQL query execution, data correctness, and platform APIs.
• Support performance and load testing with JMeter, including workloads over JDBC / ODBC / Arrow Flight drivers.
• Validate data-intensive scenarios — query plans, result correctness across data sources, metadata consistency, and behavior under concurrency.
• Contribute to CI/CD test pipelines in Jenkins — configure, maintain, and troubleshoot.
• Provision and manage test environments in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker.
• Investigate failures across the stack — query engine, distributed services, drivers, infrastructure — and drive them to resolution with engineering.
• Collaborate with US-based developers on testability and quality gates.

Required Qualifications

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Python, including pytest, with a solid grasp of OOP and software design principles.
• SQL & Data: Strong SQL skills and solid understanding of how relational and analytical data systems work.
• Data-intensive testing experience: Hands-on experience testing data-intensive systems — query engines, ETL/ELT pipelines, streaming platforms, or analytical databases. Candidates with only web/UI QA backgrounds are not a fit.
• Testing experience: 3+ years in backend/system test automation or SDET roles.
• CI/CD & DevOps basics: Practical experience with Jenkins pipelines and deploying/maintaining test environments.
• Containers: Working knowledge of Docker and basic Kubernetes (running workloads, debugging pods, kubectl fluency).
• Cloud: Comfortable operating in at least one major cloud (GCP, AWS, or Azure).
• Version Control: Confident with Git / GitHub workflows.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.

Desired Skills

• Experience testing REST APIs and backend microservices at scale.
• Familiarity with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Understanding of modern data lakehouse concepts, open table formats (Apache Iceberg), and data warehousing.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Performance testing with JMeter or comparable load-testing tools.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Understanding of query plan generation, query acceleration / materializations, and metadata integrity in distributed data systems.
  Please note: We can consider only candidates currently residing in the EU, EEA, or the UK

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

About the Client

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

About the Role

We are looking for a Senior SDET to lead the design of automated test frameworks and testing strategy for a large-scale distributed data platform. You will own the quality of the query engine, connectivity layer, and backend services end-to-end — from framework architecture through CI/CD infrastructure across all major clouds — and mentor middle engineers on the team.

This is a data-heavy, backend-focused role. We are not looking for web/UI QA engineers — the work centers on validating distributed query execution, data correctness at scale, connectivity drivers, and backend microservices.

Responsibilities

• Architect, design, and evolve automated test frameworks in Python / pytest for backend services, REST APIs, and distributed data components.
• Define testing strategy for new features and platform components — coverage, risk assessment, and quality gates.
• Own end-to-end, integration, performance, and regression testing covering SQL query execution, data correctness at scale, and platform APIs.
• Lead performance and load testing efforts with JMeter, including workloads over JDBC / ODBC / Arrow Flight drivers.
• Design and validate large-scale data testing scenarios — query plans, result correctness across heterogeneous data sources, metadata consistency, and behavior under high concurrency.
• Own CI/CD test pipelines in Jenkins — architect, maintain, and continuously improve.
• Provision and manage test environments in Kubernetes (GKE / EKS / AKS) across GCP, AWS, and Azure using Docker; drive automation and reproducibility.
• Investigate complex, cross-layer failures and drive root-cause analysis with engineering.
• Mentor middle SDETs, review test designs, and set quality standards across the team.
• Partner with US-based development leads on shift-left practices, testability, and release readiness.

Required Qualifications

• Education: B.S. or M.S. in Computer Science, Computer Engineering, or a related technical field.
• Programming: Strong proficiency in Python, including pytest, with deep understanding of OOP, software design principles, and test framework architecture.
• SQL & Data: Advanced SQL skills and strong understanding of relational and analytical data systems, including query execution internals.
• Data-intensive testing experience: Demonstrated experience testing data-intensive systems — query engines, ETL/ELT pipelines, streaming platforms, or analytical databases. Candidates with only web/UI QA backgrounds are not a fit.
• Testing experience: 5+ years in backend/system test automation, with demonstrated ownership of test strategy and infrastructure.
• CI/CD & DevOps: Solid experience architecting and maintaining Jenkins pipelines and test environments.
• Containers & Orchestration: Strong working knowledge of Docker and Kubernetes (running workloads, debugging pods, deploying complex environments).
• Cloud: Hands-on experience with at least one major cloud (GCP, AWS, or Azure); exposure to more than one is a strong plus.
• Version Control: Confident with Git / GitHub workflows and code review practices.
• English: Upper-Intermediate or higher (B2+) — daily written and verbal communication with a US-based engineering team.
• Availability: Able to work EU hours with a 2–3 hour shift toward US West Coast time to ensure daily overlap with the client team.
• Leadership: Prior experience mentoring engineers, defining test strategy, or leading a QA/SDET function.

Desired Skills

• Deep experience testing REST APIs and backend microservices at scale.
• Hands-on with distributed computing frameworks (e.g., Apache Spark, Kafka) and MPP SQL query engines (e.g., Presto, Trino, or similar).
• Strong understanding of modern data lakehouse concepts, open table formats (Apache Iceberg), and data warehousing.
• Experience with data connectivity drivers: JDBC, ODBC, Arrow Flight.
• Performance testing with JMeter or comparable load-testing tools at production scale.
• Kubernetes on managed services (GKE / EKS / AKS) and multi-cloud exposure.
• IaC tools such as Terraform.
• Deep understanding of query plan generation, query acceleration / materializations, and metadata integrity in distributed data systems.
• Prior experience leading a QA/SDET function in a data-platform or database engineering environment.
  Please note: We can consider only candidates currently residing in the EU, EEA, or the UK.