Jobs at Djinni

About the project
Our client is a fast-growing German HealthTech startup building an AI voice assistant for nurses and care workers. Nurses speak into a mobile app, and the product automatically turns it into care documentation, saving them hours of admin work every week. The product is already used by thousands of care facilities across Europe and is expanding to the US.

About the role
This is a foundational QA role. There is no QA in the team yet, and you will be the first and only QA engineer working alongside 6 developers. We are looking for someone who doesn’t just execute test cases but truly understands the product, its users and the business logic behind every feature, and who can build a QA process from scratch.

Responsibilities

• Become the go-to expert on product quality: learn the product deeply and understand how nurses use it in real life
• Test new features and releases across mobile apps, APIs and integrations
• Set up the QA process from scratch: test documentation, bug tracking, regression and release checks
• Work closely with developers and product to clarify requirements and catch issues early
• Define what should be automated and help lay the foundation for test automation

Requirements

• 4+ years of experience in QA
• Experience as the only QA on a project or building QA processes from scratch
• Strong manual testing skills and a product mindset
• Experience testing mobile applications (iOS and/or Android)
• API testing experience (Postman or similar)
• Ability to work independently and proactively, clarifying requirements on your own
• English at Upper-Intermediate level or higher
• You must be based in and work from an EU country

Nice to have

• Test automation experience (Kotlin/Java, JUnit, Appium, Espresso or similar)
• CI/CD experience
• Background in HealthTech, AI or voice products, or testing integrations
• German language

We are looking for a Middle C# .Net Fullstack Engineer to help our Client develop AI-powered applications for AI Governance, Enterprise Architecture, Business Architecture, IT Portfolio Management, Process Analysis and a Digital Twin of the Organization to provide a unified, real-time view of your enterprise operating model. 

You will be joining a department of 70+ engineers across multiple teams, each with ownership for specific domains within our flagship SaaS based enterprise architecture product. Application components are built to run natively in Microsoft Azure, across a tech stack utilizing C# .Net 8, React, Typescript, CosmosDB, SQL, Containers and Kubernetes, with a Micro-frontend and Microservice architecture, continuously deployed to a multiregional highly available infrastructure. Public REST APIs make our platform the hub for numerous integrations to external services and applications.

We operate Scrum for day-to-day development activities, wrapped with quarterly strategic planning to set the vision and goals for the coming quarter. We follow leading development practices, incorporating TDD, automated CI/CD, a “shift-left” testing mindset and a focus on producing S.O.L.I.D maintainable code that can be released quickly and to a high quality. 

Core Responsibilities:

• Collaborating with the Product Owner and the team to refine features, stories and acceptance criteria
• Working with C#, .Net Core in an Azure Microservice environment
• Developing and maintaining API Services
• Working with multiple React, Micro-frontend web applications
• Formulating solutions to technically challenging requirements
• Adhering to existing coding standards and practices, and working with other technical leads to continuously improve these
• Partaking in a culture of code reviewing and collaboration
• Attending team meetings such as daily stand-ups, retrospectives, planning, refinements, and technical discussions

• Partaking in presentations and code workshops

   

Essentia requirements:

• 3+ years of experience in C# .Net/Net Core 
• Experience with React
• SQL Server (T-SQL)
• Performance optimization 
• Azure native technologies (i.e. App Services, Functions etc.)
• Integration and Unit Test experience supporting regular production releases
• Strong understanding of object-oriented programming (OOP) and S.O.L.I.D principles
• Experience with Scrum and development in an agile environment
• Exposure to Micro-frontends and Microservices
• Experience with AI tools and their application in software development
• Experience of mentoring and guiding multi-discipline engineers

• Strong communication skills

   

Nice to have:

• Experience working on an existing production SaaS platform
• Confidence with Git and branching strategies, versioning, dependency management
• Domain Driven Design principles
• Working in an automated continuous delivery environment

• Containers, Kubernetes exposure

   

Client’s Tech Stack/Environment:

• Development for modern browsers
• .NET 6 / C#
• React, Typescript, HTML, SASS
• SQL Server (T-SQL), CosmosDB
• MSTEST v2, XUnit, Mock, NSubstitute, Jest, Selenium, Playwright
• Azure DevOps with Git, and CI/CD pipelines in YAML
• IAC (ARM, Helm, Terraform)
• Containers, Kubernetes
• Azure native technologies (i.e. App Services, Functions etc.)

We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones.

Currently, we are looking for a Marketing & Data Analyst for RNK Health to own marketing and product analytics, reporting, and tracking across their acquisition channels.

Type: Full time
Location: Remote
Working hours: 14:00-22:00 EEST (Kyiv time)

About RNK Health

RNK Health is a fast growing telehealth brand. We help people get treatments like NAD+, sermorelin, tirzepatide, semaglutide, and B12 — prescribed by licensed providers and shipped to their door. We run our own ads, funnels, creative, email/SMS, affiliates, and analytics.

What this job is

You own marketing and product analytics, tracking, and reporting across the business.

This is a hands-on role. You will analyze acquisition, product, and retention performance, maintain tracking systems, investigate data issues, and provide clear insights for business and marketing decisions.

You should understand both marketing and the technical side of analytics, from CAC, LTV, funnels, and attribution to GTM, pixels, and server-side tracking.

What you will own

Marketing, product & retention analytics
Analyze performance across the full customer journey, from acquisition and funnel conversion to subscription performance, retention, and LTV. Track CAC, ROAS, CR, cohorts, rebills, cancellations, refunds, churn, and customer lifetime value. Identify trends, performance changes, and opportunities for improvement, and turn the data into clear reports and actionable insights for marketing, product, and business decisions.

Funnels and A/B testing
Analyze user behavior and acquisition funnels, identify conversion opportunities, and evaluate A/B tests across landing pages, pricing, and customer journeys.

Attribution
Understand how attribution works across Meta, Google, internal data, and other acquisition platforms. Identify and reduce discrepancies between data sources and make sure the business is using the right data for reporting and decision-making.

Tracking
Set up, maintain, and troubleshoot tracking through GTM, including Meta and Google pixels, Conversion APIs, client-side and server-side events, deduplication, and marketing platform integrations.

Data accuracy
Ensure data accuracy and consistency across reporting systems and proactively identify discrepancies before they impact business decisions.

Who we are looking for

• 3+ years of experience in marketing, product, or data analytics
• Strong experience with Mixpanel, GA4, or similar analytics platforms, including funnels, events, user behavior, and conversion analysis
• Strong Google Tag Manager (GTM) experience, including event setup, debugging, and web and server-side tracking
• Hands-on experience with Meta and Google pixels, Conversion APIs, and other marketing platform integrations
• Strong understanding of attribution across marketing platforms and internal data
• Strong understanding of CAC, ROAS, CR, LTV, retention, churn, cohorts, and subscription performance
• Hands-on experience with BigQuery, GCP, and large marketing/customer datasets
• Strong SQL and Google Sheets / Excel skills
• Strong attention to detail and ability to independently identify and resolve data and tracking issues
• Ability to turn complex data into clear, actionable insights for business and marketing teams

Nice to have

• Experience in telehealth, healthcare, or another subscription health business
• Understanding of healthcare marketing and data compliance
• Tableau and/or Looker Studio
• TikTok, Snapchat, or other paid media platform tracking experience
• Affiliate tracking / Everflow experience

Ready to join the team? Please submit your CV.

We’ll review your application within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.
 

About the Role  

The Product Manager for the Farm Management System (FMS) is responsible for translating strategic objectives and diverse stakeholder needs into clear, structured, and implementable software requirements.  

This role operates at the intersection of:  

• Global product strategy  
• Regional commercial needs  
• Large grower requirements  
• Engineering constraints  
• Integration partners (machinery, satellite, APIs)  

Approximately 70% of the role is focused on writing and maintaining high-quality software requirements, ensuring clarity, feasibility, and alignment with long-term product direction.  

This is a highly structured, detail-oriented product role with strong emphasis on prioritisation, scope control, and execution excellence.  

Key Responsibilities 

Feature Intake & Stakeholder Management  

• Collect feature requests from:  
• Commercial units (CUs)  
• Large growers  
• CP / Seeds business units  
• Customer success  
• Engineering  
• Integration partners  
• Clarify problem statements and expected business outcomes  
• Challenge unclear or misaligned requests  
• Identify overlaps, duplication, and local customizations  

Deliverable:  

• Structured feature intake documentation  

• Clear problem framing before development discussion 

   

Prioritisation & Strategic Alignment  

• Evaluate requests based on:  
• Strategic fit with FMS roadmap  
• Revenue impact  
• Adoption impact  
• Technical complexity  
• Global scalability  
• Regulatory / country constraints  
• Maintain and continuously refine prioritisation frameworks (e.g., RICE, Value vs Effort, Strategic Fit scoring)  
• Protect roadmap integrity against reactive feature creep  

Deliverable:  

• Transparent prioritisation model  
• Quarterly roadmap aligned with global product strategy  
• Executive-ready justification of decisions  

Software Requirements Definition (Primary Focus ~70%)  

The core of the role.  

• Translate approved features into:  
• Clear functional requirements  
• Non-functional requirements  
• Acceptance criteria  
• User flows  
• Edge cases  
• Define system behavior across:  
• Web  
• Mobile  
• API  
• Integrations (e.g., machinery, satellite, telematics)  
• Collaborate closely with UX to ensure usability consistency  
• Ensure alignment with architecture and technical constraints  
• Maintain structured documentation (e.g., Jira, Confluence, PRDs)  

Deliverable:  

• High-quality Product Requirement Documents (PRDs)  
• Detailed user stories with acceptance criteria  
• Reduced ambiguity for engineering teams  
• Minimal rework due to unclear specs  

Success metric:  

• Low development rework rate  
• Clear estimation cycles  
• Predictable delivery  

Cross-Functional Delivery Support  

• Work closely with:  
• Engineering  
• UX  
• Data science  
• DevOps  
• Integration teams  
• Participate in backlog grooming, sprint planning, and refinement  
• Clarify requirements during implementation  
• Validate feature behavior before release  

Deliverable:  

• High implementation clarity  
• Reduced requirement interpretation gaps  

Product Governance & Scalability  

• Ensure global consistency across countries  
• Avoid fragmentation of FMS core  
• Promote reusable, scalable feature design  
• Drive modular architecture thinking  

Required Skills and Qualifications 

Product Skills  

• Strong experience writing detailed software requirements  
• Experience in complex SaaS platforms  
• Ability to structure ambiguous inputs into precise specifications  
• Strong backlog management discipline  

• Advanced prioritisation and scope control capability  

   

Technical Understanding  

• Understanding of:  
• APIs  
• Data flows  
• Integrations  
• Enterprise SaaS architectures  

• Ability to discuss technical trade-offs with engineering  

   

Stakeholder Management  

• Comfortable handling conflicting requests  
• Able to say “no” with structured justification  

• Strong executive communication  

   

Domain Knowledge (Preferred)  

• Farm Management Systems / ERP  
• Agronomy workflows  
• Machinery integrations  
• Telematics  
• Enterprise growers  

The Company Offers  

Opportunity to be a part of a best-in-class product that is used by thousands of companies around the world.   

• Annual performance bonus scheme.   
• Career growth opportunities.   
• An environment where you need to seek and implement unique solutions.   
• Training and development programs.   
• Young and dynamic team with a friendly and open culture.   
• Health and life insurance for employees and your family members.   
• 32 working days of paid annual leave and sick leave. 

Hi! I’m Anna, ex-CEO and founder of EASYFEET (an e-commerce brand featured on this profile). Now I’m building my second venture, Djampa: a motion-tracking mobile platform with kids active games where players control the action with real body and hand movements in front of the phone camera.
We already have two games live on Google Play. Now we’re scaling, and we need a 2D artist who can own the game UI from the first sketch to the final screen in Unity.

Format
Part-time, about 3-5 hours a day, and available in chat during the working day is a must!

Remote
Involvement can grow as the project grows
What you’ll do
Design game UI/UX: menus, HUD, buttons, popups, shop, rewards, onboarding and tutorial screens
Create 2D assets: icons, badges, achievements, UI elements, simple illustrations
Keep the visual style consistent across all games and screens, and build and maintain a UI kit
Prepare assets for Unity: slicing, 9-slice, sprite atlases, correct export sizes, safe areas for different screens
Assemble or check UI in Unity (Canvas, prefabs, anchors, layout groups) together with our developer
Work with the game designer and the art lead, and take part in short weekly planning
Requirements
2+ years in mobile game UI/UX (casual, hyper-casual or kids’ games are a big plus)
A strong portfolio of game interfaces, not only web or apps
Good command of Figma and Photoshop
You know how UI works in Unity: Canvas, anchors, 9-slice, sprite atlases, resolutions and aspect ratios
A sense of composition, color and readability, and ideally an understanding of UX for kids (big touch targets, simple navigation, minimal text)
Proactive, communicative, comfortable giving and getting feedback
Nice to have
UI animation (Unity Animator, DOTween, Spine or After Effects)
Basic VFX for UI (particles, glow, reward effects)
AI tools for faster iteration (Midjourney, Krea, Stable Diffusion)
Experience with ASO visuals: store screenshots and icons
How to apply
Send your portfolio (links to game UI work are the most important) and your hourly rate. The best candidates will get a short paid test task.

Our partner is an international iGaming company specializing in identifying and fostering the growth of high-potential entertainment markets. With 1,000+ professionals across 20+ locations, the company operates in 10 countries and serves over 300,000 customers. Its expertise spans iGaming operations (sports betting, online casino), digital and affiliate marketing, tech solutions, and data analytics.

We’re looking for an International Payroll & Lead — a hands-on specialist who will own the full payroll and compliance cycle across three jurisdictions: Ukraine, Cyprus, and Poland.

Main Responsibilities

– Organize and strictly control the full cycle of payroll, bonuses, and related payouts across Ukrainian (sole proprietor/FOP), Cypriot, and Polish jurisdictions, with Ukraine accounting for the majority of volume
– Ensure accurate reflection of expenses in management accounting, prepare consolidated data for management reporting, and actively participate in the budgeting process
– Research and analyze taxation specifics across jurisdictions, ensure document accuracy, and guarantee full compliance with local and international legislation
– Contribute to process automation initiatives (including AI-driven process improvements), write technical specifications for developers to enhance accounting and finance systems
– Coordinate daily operations with the accounting team lead, provide financial guidance to colleagues, and maintain effective communication with internal stakeholders and external vendors/contractors
– Take direct hands-on ownership of calculations and reporting, with increased operational involvement typically expected toward the end of each quarter

Mandatory Requirements
 

Must-have:

• Practical experience working across all three jurisdictions simultaneously: Ukraine, Cyprus, and Poland — this is essential, not optional
• Strong knowledge of Ukrainian tax legislation (sole proprietors/FOP, Labor Code) and solid understanding of EU tax systems, specifically Cyprus and Poland
• Hands-on experience with 1C accounting software (prior experience required, even if not currently in active use)
• Advanced proficiency in MS Excel and Google Sheets (complex formulas, pivot tables, large datasets)
• English level B2 or higher

• Ukrainian citizenship/residency

   

Nice-to-have:

– 7+ years of professional experience in management accounting or finance
– Proven background in managerial, team lead, or strong individual expert roles
– Experience in iGaming (preferred), banking, gamedev, or IT companies with a similar finance model
– Prior involvement in process automation or AI-driven finance transformation projects
– Strong analytical thinking, attention to detail, and excellent communication skills

We offer

– Children Allowance
– Mental Health Support
– Sport Activities
– Language Courses
– Automotive Services
– Veterinary Services
– Home Office Setup Assistance
– Dental Services
– Books and Stationery
– Training Compensation
– And yes, even Massage!

Who We Are 
 

At Digital Shelf by NIQ, we’re passionate about technological innovation and excellence in cybersecurity. Our cutting-edge solutions enable us to scrape data for 12 billion products and manage over 20 billion data points. In a market where anti‑bot technologies represent a $10B industry in constant evolution and consolidation, our dedicated teams tackle real‑world challenges with precision and creativity. 
 

What You’ll Do 
 

• Reverse Engineering & Decompilation: 
  Analyze web and mobile applications (APK/IPA) to uncover hidden mechanisms. Disassemble code to understand its inner workings, with a focus on cryptographic functions that secure our systems. 
• Overcoming Anti‑Bot Mechanisms: 
  Evaluate and bypass advanced security protocols such as TLS, HTTP/2, HTTP/3, WebSockets, DoH, and session management. Identify vulnerabilities to enhance our data extraction methods. 
• Developing Custom Tools: 
  Build robust Python scripts and frameworks that automate bypass procedures and dynamically adjust security measures, whether by modifying TLS stacks or patching JavaScript on the fly. 
• Implementing Stealthy Scraping Techniques: 
  Engineer sophisticated methods such as browser patching, headless browser evasion, proxy tunneling, and human‑behavior emulation to keep our operations discreet. 
• Continuous Innovation: 
  Regularly test, disrupt, and improve our tools to stay ahead of ever‑evolving defenses. 

Your Profile 
 

• P45510n4t3 C0d3 W4rr10r: 
  You thrive on pushing systems to their limits while upholding the highest ethical standards. R3v3rs3 3ng1n33r1ng isn’t just a skill it’s your creative playground. 
• R3v3rs3 3ng1n33r1ng Expertise: 
  Whether using tools like IDA Pro, Ghidra, or your own custom-built solutions, you excel at dissecting both binary and web code to uncover core functionalities. 
• W3b & N3tw0rk Pr0t0c0l Savant: 
  You possess deep expertise in pr0t0c0ls such as TLS, HTTP/2, WebSockets, DoH, and more, leveraging that knowledge to find innovative solutions. 
• Advanced Python Developer: 
  Your coding abilities go far beyond basic scripting. We're looking for a coder, someone who can design and implement robust, efficient solutions for complex challenges. 
• Collaborative Innovator: 
  While you excel as an independent problem-solver, you also thrive in a dynamic team environment that values open communication and continuous learning. 

How to Apply 
 

If you’re a dedicated code warrior with a passion for dissecting and rebuilding intricate systems and you consistently deliver high‑quality, efficient code, send us your resume.

What we offer

Direct contract with the USA
Flexible work hours and remote work

20 business days of paid vacation
Flexible days off

Maternity/Paternity leaves

Medical insurance 

Join Digital Shelf by NIQ and help us reshape the digital frontier. 

🌍 Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

🧩 About the Product:

Our client is a B2B technology company looking for an experienced infrastructure engineer to support and improve its production environments.

This is a hands-on role for someone with strong Linux expertise who enjoys solving complex systems problems, automating operational work, and taking responsibility for service reliability. You will work closely with engineering colleagues to turn technical requirements into infrastructure that is secure, efficient, and straightforward to maintain.

🌟 About the Role:

You will manage Linux infrastructure across physical and virtual environments, supporting its full lifecycle - from initial setup and configuration to maintenance, troubleshooting, and recovery.

Alongside day-to-day operations, you will improve automation, strengthen security practices, and help the team make informed decisions about infrastructure design and deployment. The role requires practical engineering judgment, clear communication, and confidence working with changing priorities.

📈 Key Responsibilities:

• Maintain and improve the availability, performance, and security of production Linux systems.
• Develop automation for infrastructure deployment, configuration, maintenance, and recovery.
• Investigate incidents and resolve issues involving servers, operating systems, connectivity, and storage.
• Manage virtualized and containerized environments, selecting configurations appropriate to operational requirements.
• Apply access controls, system hardening, and resource separation to support secure service delivery.
• Collaborate with engineering teams and external service providers on infrastructure changes and maintenance.
• Improve monitoring, technical documentation, and operational procedures.
• Participate in incident response and the team’s on-call rotation.

💻 Required Competence and Skills:

• 8+ years of experience in infrastructure engineering, systems engineering, SRE, or similar roles.
• Strong experience administering Linux in production, including physical server environments.
• Ability to diagnose operating-system and infrastructure issues beyond the application layer.
• Experience using automation to manage multiple servers consistently.
• Proficiency in Python and practical experience with Terraform.
• Working knowledge of virtualization, containers, networking, and storage.
• Experience maintaining systems remotely and restoring service following failures.
• Understanding of infrastructure security, access management, and workload separation.
• Ability to own technical work from planning through implementation and ongoing support.
• Clear English communication and a collaborative approach to problem-solving.

➕ Nice to Have:

• Experience supporting resource-intensive or performance-sensitive applications.
• Background in hosting, data centers, cloud infrastructure, or managed services.
• Familiarity with hardware selection, capacity planning, and performance optimization.
• Experience working across multiple infrastructure environments or service providers.

🚀 Why Us:

- We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

- We provide full accounting and legal support in all countries we operate.

- We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We're seeking a talented Data Engineer to design and build reliable data pipelines and warehouses for data-heavy products serving clients in the US and Europe. If you're experienced with Python, SQL, modern data warehouses, and orchestration tools and enjoy turning complex datasets into valuable business insights, we'd love to hear from you!
 

Core Competence:
 

• At least 3 years of professional experience in Data Engineering, with strong Python and SQL skills, including window functions and query performance optimization.
• Production experience with modern data warehouses such as Snowflake or BigQuery. Experience with Redshift or Databricks is also relevant.
• Hands-on experience with dbt in production projects, including data models, tests, sources, and incremental materializations.
• Practical experience with Apache Airflow or similar orchestration tools such as Dagster or Prefect.
• Strong understanding of ETL / ELT architecture, including incremental loads, change data capture, slowly changing dimensions, and idempotent pipeline execution.
• Experience building and maintaining batch and incremental data pipelines integrating APIs, databases, files, and SaaS platforms.
• Proficiency with Git, Docker, and at least one major cloud platform such as AWS, GCP, or Azure.
   

Preferred Qualifications:
 

• Experience with Apache Spark, PySpark, or Databricks.
• Knowledge of streaming technologies such as Kafka, Kinesis, or Pub/Sub.
• Familiarity with Fivetran, Airbyte, or Terraform for data infrastructure.
• Experience with BI tools such as Power BI, Looker, or QuickSight and data modeling for analytics.
• Experience preparing datasets for LLM and RAG applications, including chunking, embeddings, and vector databases.
• Upper-intermediate level of English for clear and effective communication with international clients.
   

What We Offer You:
 

• Competitive compensation aligned with your skills, experience, and career ambitions.
• An innovative work environment with opportunities to build production data platforms, scalable pipelines, and analytics solutions for international clients.
• Direct communication with clients from the US and Europe and the opportunity to influence data architecture and technical decisions.
• Long-term cooperation with opportunities to move between projects and continue growing with the team.

Our client is looking for a Conversational AI Specialist.

Role Overview:We are looking for a Conversational AI Specialist to train and improve our AI agent, maintain its Knowledge Base, monitor conversation quality, and ensure responses remain accurate and up to date. You will also coordinate with our technical vendor to resolve issues and support testing and monitoring of AI updates.Key Responsibilities:

• Train and continuously improve the AI agent's responses through structured content and configuration;
• Maintain and update Knowledge Base content to keep the AI agent's answers accurate and current;
• Monitor live chat conversations to identify inaccurate or unclear AI responses and flag/fix them;
• Update AI configurations when promotions, bonuses, or policies change;
• Coordinate with our technical vendor to report and track issues, ensuring fixes are tested before going live;
• Support monitoring after updates to confirm the AI agent is working correctly for users.

Required Skills & Experience:

• To be fluent in Portuguese and English, both written and spoken;
• Experience with AI chatbot or virtual assistant platforms (e.g., Google Dialogflow, or similar conversational AI tools) is preferred;
• Strong attention to detail and a structured, analytical mindset for identifying and resolving inconsistencies in AI responses;
• Comfortable working with basic structured data formats (e.g., reading simple JSON-like data) — full training will be provided;
• Experience using project management or ticketing tools (e.g., Jira, Trello, Asana, or similar) is a plus;
• Strong written communication skills, with the ability to document issues clearly and coordinate with technical teams.

Will be a plus:

• Prior experience in iGaming, customer support, or live chat operations is a plus;
• Prior experience in content writing, knowledge base management, or FAQ documentation is a plus;
• Curiosity about AI/chatbot technology and willingness to learn new tools.

The company guarantees you the following benefits:

• A positive workplace atmosphere that creates a culture of collaboration and support, making it a place you'll love working in;
• Competitive compensation and regular career development reviews;
• Flexible working hours and remote working options, you'll enjoy the freedom that the company provides;
• A generous vacation and sick leave policy, allowing you to take time off and enjoy a work-life balance;
• Financial assistance for professional development, helping you stay ahead of the curve and love your career path;
• Educational Allowances that give you the opportunity to expand your knowledge and experience;
• You'll have a monthly allowance for personal activities, giving you the opportunity to pursue your interests and hobbies outside of work;
• A comprehensive health insurance plan, depending on your current location;
• Referral program with financial rewards for bringing top talent to the company;
• Engaging in team-building activities and corporate parties.

Interview process:

• HR Interview with the Recruiter;
• A 1-hour technical inetrview;
• A 1-hour final interview with the team;
• Final decision.

If you find this opportunity right for you, don't hesitate to apply or get in touch with us if you have any questions!

🌍 Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

🧩 About the Product:

Our client is a technology company with investment backing, developing infrastructure for computationally demanding applications. The engineering team is expanding its networking capabilities to support growing customer demand and increasingly complex deployments.

Customers need dependable, protected access to workloads running across interconnected infrastructure. Delivering that access involves coordinating customer networks, telecommunications providers, data centers, cloud services, and Linux systems. The company is looking for an experienced engineer who can bring these components together and establish consistent methods for deploying, monitoring, and supporting customer connectivity.

🌟 About the Role:

In this position you will lead the technical development and operation of the company’s production networking environment. This includes assessing existing implementations, setting architectural direction, delivering changes, and taking responsibility for their ongoing reliability.

Networking currently has no dedicated team, and the architecture remains open to development. You will have substantial autonomy to establish technical standards, choose implementation approaches, and shape operating practices.

Your scope will extend from customer access points to the systems executing their workloads. Alongside routing and security, you will address the connections between facilities, external providers, cloud environments, and individual hosts. You will also help engineers provision new customer connections through reusable configurations and automation.

📈 Key Responsibilities:

• Assess the existing network, define architectural direction, and own implementation, automation, and production reliability.
• Design and operate connectivity between customer environments and compute workloads across telecom networks, infrastructure partners, hosting facilities, and cloud environments.
• Configure and maintain VLANs, VRFs, segmentation, and firewall policies.
• Define tenant-isolation controls and verify their effectiveness under production conditions.
• Implement secure private access using IPsec, WireGuard, or overlays, including tunnel termination and site-failure handling.
• Build and maintain data-center fabric connectivity and its integration with external providers and cloud services.
• Plan and deliver cross-connects, internet transit, private circuits, and network-as-a-service connections, accounting for lead times, provider dependencies, and commercial constraints.
• Automate network setup and customer connectivity using Python and Terraform, building reusable workflows that other engineers can run safely and consistently.
• Establish observability across hosts, tunnels, overlays, physical networks, cloud services, and carriers.
• Investigate connectivity and performance incidents across organizational boundaries, using technical evidence to identify the failing layer.
• Collaborate with infrastructure and platform engineers on topology, reliability, and performance for high-bandwidth, multi-node workloads.
• Participate in the on-call rotation and improve operational practices based on production experience.

💻 Required Competence and Skills:

• Hands-on production experience with routing between different networks, including diagnosing unexpected routing behavior.
• Experience designing and operating VLANs, VRFs, segmentation, and firewall policies.
• Experience implementing tenant isolation and validating it under real operating conditions.
• Strong Linux networking troubleshooting skills on hosts carrying production traffic.
• Experience with data-center networking and networking services in at least one major cloud platform.
• Production experience supporting customer connectivity built on IPsec or WireGuard.
• Ability to trace packet flows and troubleshoot issues across systems and networks managed by different organizations.
• Experience replacing manually maintained network configurations with reliable automation.
• Practical Python and Terraform skills, including automation used by other engineers in production. 
• Understanding of how network design affects the reliability and performance of distributed workloads.
• Ability to make, implement, and explain technical decisions with incomplete requirements.
• Clear English communication and effective collaboration across engineering disciplines.

➕ Nice to Have:

• Experience with a cloud or hosting provider, data-center or network operator, infrastructure company, or enterprise networking vendor.
• Experience supporting HPC, storage, or other bandwidth-intensive environments.
• Experience with carriers, cross-connects, internet transit, private circuits, or network-as-a-service platforms.
• Experience creating connectivity workflows that non-network engineers can deploy safely.

🚀 Why Us:

- We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

- We provide full accounting and legal support in all countries we operate.

- We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

Job Description:

• Bachelor’s or master’s degree in computer science, Computer Engineering, Machine Learning, or a related field, with 5+ years of overall industry experience;
• Strong computer science fundamentals; able to design and implement efficient algorithms with ease;
• 1+ years of hands-on experience with agentic AI and/or LLM-based agents or applications;
• Proven experience designing and building middleware platforms, REST APIs, and distributed systems at scale;
• Advanced proficiency JavaScript and/or Python, with deep familiarity with AI/ML libraries (PyTorch, Transformers, LangChain, etc.);
• Solid understanding of microservices architecture, message queues (Kafka, Pub/Sub etc), and cloud-native development (AWS/GCP);
• Experience working with vector databases and retrieval-augmented generation (RAG) pipelines;
• Demonstrated success building and deploying agentic AI use cases in production, such as sales automation, operations agents, or analytics bots;

Job Responsibilities:

• Build intelligent agents that plan, reason, and take actions using LLMs (GPT, Gemini, Claude, LLaMA, etc.);
• Implement RAG pipelines, long-term memory, action orchestration, and multi-agent collaboration;
• Translate business requirements into autonomous workflows and smart features that generate business value;
• Apply advanced prompt engineering, tool use, and function-calling strategies to drive agent behavior;
• Design and implement robust middleware that connects APIs, AI models, databases, and services in scalable ways;
• Architect service-oriented and event-driven systems that enable real-time decision-making by agents;
• Build secure, resilient integration layers that facilitate communication between business systems (CRM, ERP, OMS, etc.);
• Ensure observability, monitoring, and governance of agent operations and system interactions;
• Partner with product managers, data engineers, and backend teams to align system capabilities with business goals;
• Lead architectural discussions and make trade-off decisions regarding scalability, modularity, and performance;
• Mentor engineers and contribute to architectural standards and AI enablement framework

Project Description:

Our client is the leading American company that pioneered the TV streaming platform, connecting consumers to streaming content through its operating system and devices. It develops and sells a range of hardware, such as streaming players, branded smart TVs, and audio products, while also licensing its OS to other TV manufacturers. The company generates revenue through device sales, platform services, licensing, advertising, and subscriptions facilitated through its platform.

Client sells various hardware, including streaming players and sticks, that allow users to access streaming services on their TVs.
Client also sells smart TVs that come with its own operating system pre-installed, often referred to as its top streaming platform in the US and Canada;
This is the foundation of the company's platform, powering both its own devices and TVs from other manufacturers that license the software.
A free, ad-supported streaming platform that offers a mix of on-demand and live content.
Provides digital advertising services to help businesses reach consumers on its platform.
This position is for highly specialized, senior-level engineers focused on designing, building, and deploying autonomous, intelligent software agents powered by LLMs. The core mission involves translating complex business needs into real-time, autonomous workflows by implementing advanced LLM capabilities, including Reasoning, Planning, RAG, long-term memory, and tool use/function calling.

🌍 Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

🧩 About the Product:

Our client develops software that helps engineering teams deploy and manage AI workloads in production. The platform simplifies infrastructure operations and supports reliable, scalable services across different deployment environments.

🌟 About the Role:

We are looking for a Senior Software Engineer to develop platform capabilities supporting AI model deployment and operation.

You will combine Python development with hands-on infrastructure engineering, improving the tools and services that help teams bring AI workloads into production. Your work will include performance optimization, automation, and operational reliability.

You will collaborate with other engineers, contribute to technical decisions, and take ownership of your work from design through deployment and ongoing support. The role includes participation in an on-call rotation.

📈 Key Responsibilities:

• Develop Python services and tools supporting AI workloads.
• Deploy, operate, and scale LLM inference services to meet the needs of active users and production traffic.
• Configure and optimize model execution across multiple GPUs and compute nodes.
• Build and improve automated deployment and configuration workflows.
• Integrate and configure model-serving technologies.
• Analyze system performance and improve scalability, resource efficiency, and reliability.
• Design tests to evaluate production readiness and identify performance bottlenecks.
• Improve monitoring, diagnostics, and recovery processes.
• Investigate production issues across software and infrastructure components.
• Contribute to architecture discussions, code reviews, and technical documentation.
• Collaborate with engineering teams to translate requirements into maintainable solutions.

💻 Required Competence and Skills:

• Strong Python development skills and experience building maintainable production software.
• Hands-on experience operating LLM inference services in production, supporting active users and real-world traffic.
• Practical experience deploying and serving models across multi-GPU configurations and multi-node environments.
• Experience configuring and tuning an LLM-serving framework, such as vLLM or a comparable technology.
• Practical understanding of GPU memory constraints and how they affect model deployment and execution.
• Experience evaluating performance under load and interpreting latency, throughput, and resource usage.
• Familiarity with techniques for reducing model memory requirements and improving inference efficiency.
• Experience with infrastructure automation and infrastructure-as-code tools.
• Strong Linux troubleshooting skills.
• Experience supporting production services, including monitoring and incident resolution.
• Ability to work independently, assess technical trade-offs, and communicate decisions clearly.
• Clear written and spoken English.

➕ Nice to Have:

• Experience with distributed systems or large-scale compute environments.
• Familiarity with multiple model-serving technologies.
• Experience with container orchestration and cloud infrastructure.
• Understanding of networking and its impact on application performance.
• Experience building tools for resource management, deployment, or operational automation.
• Background in AI platforms, developer tools, or infrastructure software.

🚀 Why Us:

- We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

- We provide full accounting and legal support in all countries we operate.

- We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

Splunk IT Engineer | Splunk Enterprise / Log Management / Optimization

Location: European Union Only (EU-based candidates)
Work Format: Remote
English: Professional working proficiency
Eligibility: EU residency and work authorization verification required

About the Role

We are looking for an experienced Splunk IT Engineer to manage, optimize, and improve an on-premises Splunk Enterprise environment.

The primary focus of this role is log ingestion optimization, data volume reduction, license cost management, and efficient log storage and routing.

The ideal candidate has strong hands-on Splunk administration experience, understands complex log management architectures, and can implement practical solutions to reduce infrastructure and licensing costs while maintaining operational visibility.

You will work on improving Splunk performance, optimizing data pipelines, and developing sustainable log management strategies.

Key Responsibilities

Splunk Enterprise Administration

• Administer, maintain, and optimize on-premises Splunk Enterprise environments.
• Monitor platform health, performance, and resource utilization.
• Troubleshoot indexing, ingestion, and search performance issues.
• Maintain reliable log collection and processing workflows.

Log Filtering & Data Volume Optimization

• Analyze log ingestion patterns and identify opportunities to reduce unnecessary data.
• Implement filtering, sampling, and data transformation strategies.
• Optimize ingestion pipelines to reduce indexed data volume.
• Maintain the availability of critical operational and security logs.
• Improve data quality and consistency across log sources.

Log Routing & Pipeline Management

• Configure and optimize log routing using Cribl, Logstash, and/or Splunk Heavy Forwarders.
• Design efficient log processing and forwarding workflows.
• Implement routing rules based on data source, priority, and retention requirements.
• Troubleshoot log delivery, parsing, and ingestion issues.

License & Cost Optimization

• Analyze Splunk license utilization and identify cost-saving opportunities.
• Develop strategies to minimize unnecessary license consumption.
• Build dashboards for tracking ingestion volumes, license usage, and associated costs.
• Monitor log growth trends and recommend optimization measures.
• Provide reporting and visibility into Splunk resource consumption.

Storage Management & Archiving

• Optimize Splunk storage utilization and data retention policies.
• Manage log archiving and long-term storage strategies.
• Configure and maintain index lifecycle and retention settings.
• Support efficient data storage while meeting operational requirements.

Search & Dashboard Optimization

• Optimize Splunk searches and SPL queries for performance.
• Improve existing dashboards and reports.
• Identify inefficient searches and reduce unnecessary resource consumption.
• Develop operational dashboards for monitoring ingestion, storage, and platform performance.

Requirements

• Strong hands-on experience administering on-premises Splunk Enterprise.
• Proven experience with log filtering and ingestion volume reduction.
• Practical knowledge of Splunk licensing and license optimization.
• Experience with Cribl, Logstash, and/or Splunk Heavy Forwarders.
• Strong understanding of log routing, parsing, and data processing pipelines.
• Experience managing Splunk storage, retention, and log archiving.
• Ability to analyze and optimize log ingestion costs.
• Experience creating cost tracking and operational monitoring dashboards.
• Strong knowledge of SPL and Splunk search optimization.
• Experience troubleshooting Splunk performance and infrastructure issues.
• Strong analytical and problem-solving skills.
• Ability to communicate effectively with technical stakeholders in English.

Nice to Have

• Splunk Enterprise Certified Admin certification.
• Experience with large-scale, high-volume Splunk environments.
• Knowledge of Splunk indexing architecture and distributed deployments.
• Experience with Cribl Stream.
• Familiarity with observability and centralized logging architectures.
• Experience automating Splunk administration and monitoring tasks.
• Knowledge of infrastructure monitoring and security logging practices.

What We Offer

• Opportunity to work with complex enterprise logging infrastructure.
• Technically challenging tasks focused on performance and cost optimization.
• Collaboration with experienced infrastructure and operations teams.
• Opportunity to influence log management architecture and optimization strategies.

Location & Eligibility

This position is open exclusively to candidates located in European Union countries.

Documentation confirming location and legal work eligibility will be required during the selection process.

Interested?

If you have strong experience with Splunk Enterprise, log pipeline optimization, and reducing logging infrastructure costs, we would love to hear from you!

Apply now to discuss the opportunity.

Location: European Union Only (EU-based candidates)
Work Format: Remote
English: Strong working proficiency
Eligibility: EU residency and work authorization verification required

About the Role

We are looking for an experienced CAD Automation Specialist to develop, optimize, and maintain automation solutions for engineering and mechanical design workflows using Siemens NX and NXOpen API.

This role combines software development expertise with a strong understanding of CAD systems, mechanical engineering processes, and engineering automation.

The ideal candidate has hands-on experience building CAD automation tools, integrating engineering applications, and improving the efficiency and reliability of design workflows.

Key Responsibilities

CAD Automation & Development

• Design, develop, and maintain CAD automation solutions using Siemens NX and NXOpen API.
• Build custom applications, scripts, and tools using C# and C++.
• Automate repetitive engineering and mechanical design processes.
• Develop integrations between CAD systems, databases, and other engineering applications.
• Troubleshoot and optimize existing CAD automation solutions.

Software Engineering & Quality

• Design and implement reliable, maintainable software components.
• Develop automated tests to ensure application quality and stability.
• Work with SQL databases for data management and integration.
• Apply version control and software development best practices.
• Participate in code reviews, debugging, and technical documentation.

DevOps & Release Automation

• Work with Azure DevOps for development workflows and CI/CD.
• Implement and maintain automated build and release processes.
• Improve deployment reliability and software delivery efficiency.
• Support continuous integration and testing of CAD automation solutions.

Engineering Collaboration

• Analyze business and technical requirements.
• Collaborate with mechanical engineers, designers, and software development teams.
• Translate engineering requirements into technical automation solutions.
• Identify opportunities to improve CAD workflows and engineering productivity.

Requirements

• Proven commercial experience in CAD automation and engineering software development.
• Strong hands-on experience with Siemens NX and NXOpen API.
• Solid programming skills in C# and C++.
• Experience working with SQL databases.
• Practical knowledge of automated software testing.
• Experience with Azure DevOps.
• Strong understanding of version control systems.
• Experience with build and release automation.
• Background or practical experience in mechanical design and engineering workflows.
• Strong requirements analysis and problem-solving skills.
• Ability to work independently and collaborate with engineering teams.
• Strong English communication skills.

Nice to Have

• Experience developing custom CAD plugins or engineering applications.
• Familiarity with PLM/PDM systems and engineering data management.
• Knowledge of manufacturing processes and mechanical design standards.
• Experience optimizing complex CAD workflows.
• Understanding of CI/CD practices for engineering software.

What We Offer

• Opportunity to work on technically challenging CAD automation solutions.
• Collaboration with experienced software and mechanical engineering professionals.
• Hands-on involvement in engineering process optimization.
• Opportunity to contribute to automation architecture and development practices.

Location & Eligibility

Applications are accepted from candidates based in European Union countries only.

Candidates must be prepared to provide documentation confirming their location and legal eligibility to work, as required for the project.

Interested?

If you have strong Siemens NX/NXOpen expertise, solid C# and C++ development skills, and experience automating mechanical engineering workflows, we would love to hear from you!

Apply now to discuss the opportunity.