Jobs at Djinni

Our family-style team is looking for a Frontend Tech Lead to drive the architectural evolution of our core product. You will be the owner of the frontend architecture, responsible for rebuilding an existing system with a strong focus on scalability, performance, and maintainability. This is an Individual Contributor role with high ownership, requiring a blend of hands-on fast-paced coding and high-level frontend system design.

About the Project
The project drives growth and revenue for gaming companies through a collaborative GenAI platform that enables teams to create and scale content from a single prompt. The company is fast-growing and VC-backed (post-seed).

What We’re Looking For

Proven Track Record: 8+ years of experience building and evolving production systems from scratch for real users.
Strong Frontend Expertise: Extensive experience with a modern React + TypeScript stack and best-in-class frontend libraries.
Architectural Wisdom: Ability to evaluate trade-offs between performance, scalability, cost, and maintainability.
Startup DNA: Prior experience in high-velocity startup environments is a must.
AI Tooling: Proficient with Cursor or similar AI-powered IDEs. Experience with AI/LLM integrations is a plus.
Production Excellence: Hands-on experience with monitoring, debugging, performance optimization, and handling production incidents.

The ideal candidate must demonstrate mastery in the following areas

Frontend (Primary Focus)

• Core: React, TypeScript (Non-negotiable), Vite, Pnpm.
• Rendering (Critical): Proven experience with Canvas rendering engines (Fabric.js, Konva.js, PixiJS, or raw HTML5 Canvas/WebGL). 
• State & Data: TanStack Query (React-Query), TanStack Router (preferred) or React Router.

• UI / UX System: Headless UI (Base UI / Shadcn), Storybook (+ Figma sync), advanced UI patterns (Infinite Grid).

   

Backend & Integration

• Languages: Python (strong knowledge required for BE-FE integration).
• API Design: OpenAPI Typescript (Type-safe BE requests), WebSockets, Short/Long Polling mechanisms, and Queue management.

• Databases: SQL/RDBMS (must), PostgreSQL / DynamoDB / Milvus (nice-to-have).

   

Testing & Monitoring

• Testing: Vitest, React Testing Library.
• Observability: Experience with Sentry/Coralogix or similar (Datadog, Grafana, Prometheus).

Seniority & Experience

• 8+ years of experience, specifically building/evolving production systems from scratch for real users.
• Ability to identify trade-offs between performance, scalability, cost, and maintainability.
• Prior experience in high-velocity startup environments is a must.
• AI Tooling: Proficiency in Cursor or similar AI-powered IDEs.
• AI-integrated IDEs: Experience with AI/LLM integrations is a plus.

Working Style

• High Ownership: You are the owner of the frontend architecture.
• Methodology: Agile development, using Jira for ticket-based tracking.

• Communication: High English proficiency and a strong leadership mindset. You will work closely with the Team Lead, PM, and other developers in a highly collaborative environment.

   

What we offer

• A really promising long-lasting project (you will be proud of yourself).
• Sane and polite, but effective management.
• The best corporate culture (according to our teammates' opinions).
• Competitive salary and other stuff.
• Remote work, full time.

• Becoming not just another team member, but a part of UKAD with unique value and long-term relationships.

   

Some facts about UKAD to help you make a decision
During 2022-2025, we only increased cooperation with our foreign partners.
UKAD combines benefits of family-sized companies, like no bureaucracy, easy access to the executives, with sustainable growth and vast opportunities.
Our company is strong enough to be not just a vendor but a tech partner. We can afford to choose customers that respect developers.
UKAD is one of the leading employers in Kharkiv, according to DOU.

Aren't we the company you're looking for?

About the Role

We’re Umbrelly.Cloud - an AI-powered platform helping companies cut up to 25% of their AWS, Google Cloud, and Azure bills. 🚀

We’re looking for a B2B Sales Manager who knows how to take warm leads (people already interested in our product) and confidently close them into long-term clients. If you’re ambitious, proactive, and love winning deals - you’ll feel at home here.

What You’ll Do

• Work with warm inbound leads: guide them from “interested” to “signed deal.”
• Build strong relationships with founders and C-level executives.
• Negotiate terms and close deals with a clear, results-first approach.

• Collaborate with our tight-knit team to improve processes and grow faster.

   

Requirements

• English C1+ (fluent, professional level).
• Proven success in B2B SaaS sales.
• Strong networking and deal-closing mindset.
• Solid negotiation experience at founder/C-level.
• Tech/product background is a big plus (bonus if you’ve been a developer or worked in tech-driven teams).

• Other languages = nice advantage.

   

About Umbrelly.Cloud

• $500k raised, 100+ B2B clients, and MRR growth of 400% in just 2 years.
• A global, 5-person team working closely together across Europe and beyond.
• Regular team bootcamps and meetups (Warsaw, Lisbon, Silicon Valley).
• A culture that values results, collaboration, and enjoying the journey. 🌍✨

 If you’re a confident closer who wants to join a fast-scaling SaaS startup, let’s talk.

QIT Software is looking for a Software Engineer who thrives on solving complex technical challenges and improving product stability, performance and scalability. In a SaaS environment, you’ll work across our upstream and midstream product lines to ensure it’s running efficiently and reliably for our customers.

Requirements:

- Bachelor’s degree in computer science or engineering
- Strong computer science foundation in algorithms
- 3+ years of experience as a software engineer in a SaaS or cloud-based environment
- Experience working on enterprise web application development
- Experience with Ruby 
- Experience with relational databases, such as SQL Server
- Experience with JavaScript Libraries


Responsibilities:

- Diagnose and resolve production issues impacting uptime, stability, or performance.
- Profile and optimize code, database queries, and API interactions to improve response times and scalability.
- Collaborate with Product and QA teams to enhance reliability and maintainability of core systems.
- Develop clean, efficient, and well-documented code using modern software development practices.
- Participate in code reviews, architecture discussions, and performance tuning initiatives.
- Contribute to continuous improvement efforts across the full SDLC — from incident prevention to automated testing and deployment.

Work conditions:

- The ability to work remotely from anywhere in the world;
- Flexible work schedule, no micromanagement, no strict deadlines and free overtime work;
- Work in European and American products with a modern technology stack in different domains (Finance, Technology, Health, Construction, Media, AI, Blockchain, etc.);
- Revision of wages every year or on an individual basis;
- Accounting support;
- 100% compensation for remote English lessons;
- 15 paid leaves (PTO) and public holidays.

Role Overview

Nucleus AI is seeking an AI / ML Data Scientist to help build and scale an AI-backed Learning Management System (LMS) that delivers personalized, adaptive learning experiences.

This is a hands-on, product-focused role at the intersection of machine learning, data science, and learning technology. You will design and deploy intelligent systems that directly impact learner engagement, personalization, assessment, and outcomes.

If you enjoy turning real-world data into models that are used by real users—and iterating on them in production—this role is for you.

Key Responsibilities

Machine Learning & Modeling

• Design, develop, and deploy machine learning models that power:
  • Personalized learning paths
  • Content and course recommendations
  • Learner analytics and insights
  • Adaptive assessments and feedback
     
• Build models for:
  • Learner skill inference and knowledge tracing
  • Engagement, completion, and drop-off prediction
  • Automated assessment scoring and feedback
     

Data & Analytics

• Analyze large-scale learner behavior data to extract actionable insights
• Develop and maintain data pipelines, feature engineering workflows, and model evaluation frameworks
• Apply statistical analysis and experimentation (including A/B testing) to validate model performance and impact
   

Collaboration & Product Integration

• Work closely with product managers, engineers, and instructional designers to translate learning objectives into AI-driven solutions
• Integrate models into production systems via APIs, batch pipelines, or real-time inference
   

LLMs & Advanced Techniques

• Experiment with and integrate LLMs and NLP techniques for:
  • Content generation
  • Learner feedback
  • Intelligent learner support
     
• Monitor models in production for performance, bias, and drift, and continuously improve them
   

Documentation & Governance

• Document models, assumptions, experiments, and results to ensure transparency, reproducibility, and maintainability
   

Required Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, AI/ML, Statistics, or a related field
• Strong proficiency in Python and common ML libraries (e.g., scikit-learn, PyTorch)
• Solid understanding of:
  • Supervised and unsupervised learning
  • Feature engineering and model evaluation
  • Statistical analysis and experimentation
     
• Experience working with both structured and unstructured data
• Proficiency in SQL and working with large datasets
• Ability to clearly communicate complex technical concepts to non-technical stakeholders
   

Nice-to-Have Qualifications

• Experience building ML systems in ed-tech, LMS platforms, or learning analytics
• Familiarity with
  • Large Language Models (LLMs)
  • NLP
  • Recommendation systems
  • Knowledge graphs
• Experience deploying models to production environments
• Exposure to cloud platforms such as AWS, GCP, or Azure
• Understanding of learning science, instructional design, or assessment theory
• Experience with MLOps tools (model versioning, monitoring, CI/CD for ML)
   

What We Offer

• Opportunity to work on mission-driven AI that improves how people learn
• Ownership of ML systems used by real learners at scale
• A collaborative, cross-functional team culture
• Competitive compensation and benefits
• Flexible work location and schedule
• Continuous learning and professional growth opportunities

Team Summary

Our mission is to craft reliable, high-performance embedded solutions that protect millions of homes worldwide. We operate in a sophisticated ecosystem where hardware meets intelligence, following mature Agile methodologies with regular sprint cycles, rigorous code reviews, and robust CI/CD practices. Our culture is built on technical excellence: we emphasize comprehensive testing, top-tier security standards, and deep cross-functional collaboration. We pride ourselves on writing clean, maintainable code and fostering an environment of continuous knowledge sharing.

Job Summary
We are seeking a Senior Embedded Engineer to take ownership of critical software components within our robotic security devices. This is a great opportunity to participate in the development of a brand-new software solution for our existing robotic hardware platform. 

Responsibilities and Duties

— Design and architect high-quality embedded software in C and C++ (C++17) for next-generation camera-based security devices.

— Develop and optimize build systems (Buildroot, Yocto, CMake) for product firmware components.

— Work across the entire stack, from Linux/Android BSP and HAL to ARM-based MCUs running Real-Time Operating Systems (RTOS).

— Debug and resolve complex software, hardware, and network connectivity challenges across the entire device lifecycle.

— Lead the development of innovative features from conceptual design to global production.

— Optimize performance for highly resource-constrained embedded environments.

— Drive technical excellence through proactive code reviews and mentorship of the engineering team.

— Shape the product roadmap by participating in high-level architecture discussions and strategic decision-making.

— Partner with QA teams to design and implement comprehensive automated testing strategies.

— Maintain high documentation standards for software designs, APIs, and troubleshooting procedures.
 

Qualifications and Skills

— 5+ years of commercial experience in embedded development, with mastery of C and C++ (C++17) and deep expertise in RTOS and microcontroller architectures (ARM, RISC-V).

— Hands-on experience with Embedded Linux BSP, Buildroot, or other Linux build systems.

— Strong Linux background, with proficiency in developing within a Linux-based environment.

— Ability to read and interpret complex schematics and data sheets.

— Proficiency in modern engineering tools, including Git, CMake, and CI/CD pipelines.

— Solid understanding of network programming and multithreading on multicore systems.

— Deep knowledge of communication protocols (I2C, SPI, UART, Wi-Fi) and experience writing robust device drivers.

— Proven ability to drive complex projects independently and deliver production-ready results.

— Excellent skills for technical documentation and cross-functional collaboration.

— At least an Intermediate level in both written and spoken English (B1).

Nice to have

— Understanding of modern security protocols and encryption methods.

— Experience with Android OS internals.

— Familiarity with ROS (Robot Operating System) and the robotics domain.

— Experience with Bluetooth connectivity.

— Proficiency in Python for automation and scripting.

— Experience leveraging AI-powered tools to enhance code quality and development velocity.

We offer multiple benefits that include

— The environment of equal opportunities, transparent and value-based corporate culture, and an individual approach to each team member.

— Competitive compensation and perks. Annual performance review.

— Gig-contract.

— 21 paid vacation days per year, paid public holidays according to Ukrainian legislation.

— Development opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leaves.

— Medical insurance is provided from day one. Sick leaves and medical leaves are available.

— Remote working mode is available within Ukraine only.

— Free meals, fruits, and snacks when working in the office.

Admiral Studios is a fast-growing Ukrainian IT outsourcing company, specializing in web development, mobile development, UI/UX, and SEO.

We embrace the latest and most advanced technologies: Node.js, React, Laravel, Shopify, Python, and WordPress.

We create high-quality projects for clients in the US, Europe, the UK, and Canada 🌍, with a focus on Healthcare, Real Estate, and E-commerce projects.

Currently, our team consists of over 60 skilled experts 👨‍💻, and we are continually growing.

Now, we’re looking for an IT Recruiter ⭐️ with a good understanding of software development and the ability to manage the full recruitment cycle independently.

For a perfect match, we expect  🎯

• 0.5 year of experience in full-cycle recruitment 
• Experience closing both tech and non-tech roles
• Experience in sourcing via LinkedIn, Djinni, Telegram, and other job boards
• Experience conducting screening interviews
• Knowledge of IT technologies

Duties & Responsibilities 💼

• Conducting a full recruitment cycle (from defining requirements to closing a vacancy)
• Searching for and selecting relevant candidates on various job platforms
• Searching for candidates using cold outreach
• Conducting screening interviews to find the best talents that meet the company's needs
• Close communication with the technical team
• Supporting candidates and providing feedback at all stages of hiring
• Maintaining a candidate database

Why Join Admiral Studios?

⭐️Growth-Oriented Environment – value efficiency, flexibility, and results

🤝Team Spirit – Regular corporate online & offline events to keep the team connected
📚Professional Development Support – we provide:

• A structured Performance Review system
• Access to an internal knowledge library
• Career growth opportunities with a clear development plan
• A budget for improving work processes and implementing new ideas

🧘Work-Life Balance – Enjoy a flexible work schedule and a fully remote work model
✅Paid Time Off – 20 vacation days + 10 sick leave days per year

Hiring steps: Interview with HR and Recruiter — СEО Interview — Job Offer 

If your experience and skills match our candidate scorecard, the recruiting team will contact you within 5 business days 💙

Don't forget to provide your Telegram nickname for contact 

Growpad is B2B inbound marketing agency specializing in IT outsourcing and SaaS. We prioritize working with people and strive to enhance their lives. Our comfortable working environment allows each team member to achieve professional goals while maintaining a healthy work-life balance.

Role Description

Now we’re looking for an SEO Specialist who actively uses AI tools and modern SEO approaches to scale organic growth.

You will fully own several client SEO projects — from strategy to execution and results.

This includes managing priorities, implementing SEO initiatives, and using AI tools to automate workflows and improve performance.

An important part of the role is helping brands stay visible not only in Google search but also in AI-generated answers and AI-powered search systems.

Key Responsibilities

• Take full ownership of 4–5 SEO projects — from strategy and planning to execution and results
• Grow SEO traffic and inbound lead generation for B2B client projects
• Communicate results to clients and provide strategic recommendations
• Make decisions regarding SEO strategy and project direction
• Stay up to date with the latest SEO trends and tactics
• Generate and test new growth ideas

Requirements

• 2+ year of experience as an SEO Specialist working with IT, SaaS, or B2B projects
• Upper-Intermediate English level
• Proven, measurable SEO results for B2B companies or English-language projects
• Strong expertise in:  Content marketing, Technical SEO, On-page SEO, Link building
• Ability to measure and analyze results using GA and other analytics tools
• Hands-on experience with top SEO tools (Ahrefs, Screaming Frog, etc.)
• Ability to build and implement effective SEO strategies
• Confident use of AI tools in daily work
• Ability to independently solve complex tasks
• Strong prioritization skills and a result-oriented mindset
• Independence, proactivity, and full ownership of the project
• Proven experience in SEO process automation — must-have
• Mandatory practical experience with AI-driven SEO strategies and tools

What We Offer

Compensation:

• $1400–$2000+ USD (based on experience and skills)
   

Work Format:

• Remote work
• Full-time employment — 168 hours per month.
• Remote work with a flexible schedule: you plan your working hours while ensuring full involvement in projects and timely delivery of results.
• Opportunity to work with high-quality international projects
• Clear career growth and professional development paths
• Personalized motivation system
• Access to SEO education, knowledge sharing, and internal learning
• 50% compensation for professional courses and English learning
• Paid vacation and sick leave
   

Why GrowPad?

• Strong project management support and mentoring
• Friendly, supportive team environment
• Fast adaptation and full onboarding support
• Regular feedback for personal and professional growth
• A team united by shared goals and values
   

📩 Ready to apply?

If you are a self-driven and proactive SEO Specialist and this role sounds like a great match for you — apply now!After reviewing your CV, we’ll send you a short form as the next step in the process.

Looking forward to meeting you! 🚀

What you will be doing:

Building a comprehensive test automation system (from unit to end-to-end)

Quickly identifying key steps for maximum automation

Ensuring process quality, not just testing

Optimizing regression coverage in an environment with a large number of products and releases

Your role:

Lead the team (manual testers + automation engineers)

Assign tasks and develop specialists

Manage work processes and improve quality

Must have:

Experience in building and scaling QA processes

Understanding of how to create maximum value with minimum effort

Leadership skills in managing a team of QA engineers

Join us to take quality to the next level!

We are looking for HR Generalist to join our team. 

Key Responsibilities

• Manage end-to-end recruitment for selected roles (sourcing, screening, interview coordination).
• Oversee onboarding & offboarding processes to ensure a smooth and positive experience.
• Maintain HR documentation, employee records, and internal HRIS data.
• Support performance review cycles, feedback processes, and employee surveys.
• Handle day-to-day HR operations: contracts, extensions, probation periods, compliance.
• Monitor employee satisfaction, engagement, and retention signals.
• Collaborate with leadership on workforce planning and internal policies.
• Assist with organizing internal events, team activities, and communication initiatives.
• Prepare HR reports, analytics, and dashboards (headcount, attrition, hiring pipeline, etc).
• Act as a point of contact for employees on HR-related questions.

Requirements

• 4 years of experience in HR, recruitment, or people operations.
• Understanding of HR processes and employment lifecycle.
• Ability to maintain confidentiality, structure, and high attention to detail..
• Experience with HR tools (HRIS, ATS, spreadsheets, analytics).
• Problem-solving mindset, ability to work independently and prioritize effectively.
• English — upper-intermediate or higher.

What We Offer

• Flexible remote work.
• Supportive and transparent culture.
• Opportunities to grow into HRBP / People Partner role.
• Participation in internal people-ops projects and process improvements.
• Competitive salary and benefits package.

We are looking for an experienced UI/UX Designer to join our team on a part-time, project-based engagement to finalize the critical design phase of a specialized online equipment rental and in-store check-in platform.

This is a high-impact role focused on completing the remaining UI/UX scope, refining user flows, and preparing final design assets for development. The product is approaching an important release milestone, so we are looking for a designer who can quickly dive into existing materials, work autonomously, and confidently bring the design lifecycle to completion.

The expected workload is part-time, with flexible scheduling aligned with EU time zones.

Benefits:

• Flexible part-time workload
• High-impact contribution before product launch
• Autonomy and ownership over final design stage
• Remote-first collaboration
• Access to learning resources (Udemy account)

Requirements:

• 3+ years of professional experience in UI/UX design
• Strong portfolio demonstrating responsive web and mobile projects
• Proficiency in Figma (or equivalent modern design tool)
• Experience working with established Design Systems
• Ability to analyze and complete existing complex design files with minimal ramp-up time
• Experience preparing structured design handoff documentation for development teams
• Experience designing rental platforms, booking systems, or complex check-in flows will be a plus
• Experience in a software consultancy or agency environment will be a plus
• Familiarity with Jira for task tracking will be a plus
• Experience working with structured product documentation will be a plus

Responsibilities:

• Complete the remaining UI/UX design scope for the rental platform
• Focus on booking flows and in-store check-in processes
• Ensure alignment with the established Universal Design System (UDS)
• Transform wireframes into polished high-fidelity mockups
• Create interactive prototypes where required
• Prepare well-structured design handoff for the Frontend team
• Collaborate closely with Backend, Frontend, and Product stakeholders
• Ensure design feasibility during implementation

About client:

The company has been operating for several decades and runs an extensive retail network across its home market. It manages hundreds of stores nationwide and employs several thousand people. In collaboration with a large network of retail partners, the company has established itself as a leading player in the sports retail segment. It operates in multiple neighboring countries, supporting a broad and loyal customer base. Its dealer network serves a significant number of repeat customers, reflecting strong brand recognition and long-term trust.

Industry:

Sporting Goods

Location:

Austria

About project:

The platform is a rental service operated by a major international sports retailer with hundreds of physical locations across Europe and North America. It allows users to reserve sports equipment online and pick it up quickly at a nearby shop. A significant portion of the company’s revenue is now generated through this digital channel, which also manages over 3 million customer profiles to enhance user experience.

Users can search for a ski resort or destination city, select a preferred shop, and specify their travel dates. They are then guided to a curated selection of equipment. After choosing what they need, they complete the booking and payment process online. Upon arrival at their destination, the reserved equipment is ready for pickup at the selected location.

ML Engineer

Salary: Competitive, based on experience
Work: Remote

Company Description

Qoves is on track to become the next consumer tech unicorn. With over 2.5 million followers across our platforms, we have built one of the largest global communities around beauty, aesthetics and AI. In only a short time, we have become one of the fastest growing consumer tech companies in the world, pioneering AI-driven facial analysis that is transforming the way people understand and improve their looks.

Our products range from consumer facial analysis reports to partnerships with leading clinics. We are scaling quickly, expanding our team and setting new standards in how technology and aesthetics intersect. This is your opportunity to join a company that is not just growing but reshaping an entire industry.

Role Description

We're looking for an experienced ML Engineer to join our team full-time on a remote basis. You'll work at the core of our AI-powered facial analysis platform - building, training, and deploying the models that drive our product. You'll report directly to our CTO/Founder and operate with a high degree of autonomy.

Key Responsibilities

• Design, train, and deploy machine learning models for facial analysis, image generation, and fine-tuned image editing
• Translate findings from research papers into practical, production-ready engineering solutions
• Build and improve generative models (GANs and diffusion-based architectures) for realistic image synthesis and manipulation
• Develop and refine facial landmarking models for precise feature detection and measurement
• Own the full ML lifecycle from data collection and annotation strategy through to model evaluation and deployment
• Coordinate with annotation teams to define labelling standards, manage data quality, filter datasets, and engineer training data pipelines
• Experiment with and benchmark new model architectures, loss functions, and training strategies
• Optimise model performance for inference speed and accuracy in production environments
• Collaborate with backend engineers to integrate models into the platform's API layer
• Stay current with the latest research in computer vision, generative AI, and facial analysis

Required Qualifications

• 5+ years of professional ML engineering experience at an established company (not solely academic or freelance)
• Strong proficiency with PyTorch as a primary deep learning framework
• Demonstrated ability to read, understand, and implement techniques from academic research papers into working systems
• Experience working independently and managing end-to-end ML workflows with minimal supervision
• Hands-on experience coordinating with data annotation teams - defining annotation guidelines, quality control, dataset filtering, and data engineering
• Solid understanding of computer vision fundamentals - CNNs, image segmentation, object detection, feature extraction
• Experience training and evaluating models at scale, including hyperparameter tuning and experiment tracking
• Strong Python skills and comfort working in production codebases

Preferred Qualifications

• Experience with Generative Adversarial Networks (GANs) for image generation and fine-tuned editing
• Experience with facial landmarking models and facial feature detection
• Experience with image editing and manipulation models (inpainting, style transfer, image-to-image translation)
• Published research in computer vision, generative AI, or related fields
• Familiarity with diffusion models (Stable Diffusion, DDPM, etc.)
• Experience with model serving and optimisation (ONNX, TensorRT, or similar)
• Experience with cloud GPU infrastructure (AWS, GCP)

Why Work at Qoves

• Build ML models that directly power a product used by millions
• Well-funded startup with 2.5M+ community and strong market traction
• High autonomy and ownership over model architecture and research direction
• Work directly with the CTO/Founder in a meritocratic, mission-driven culture
• Shape the future of an entire industry at the intersection of AI and aesthetics

We’re looking for a Senior DevOps Engineer to join our team

What you'll do:

• Build and improve Kubernetes and GitOps-based tooling so teams can deliver faster and with less risk.
• Design and maintain Infrastructure as Code (Terraform, Pulumi, or similar) for repeatable, reliable environments.
• Strengthen CI/CD practices and tooling to shorten feedback loops and reduce manual work.
• Improve monitoring and observability (Prometheus, Grafana, Loki, OpenTelemetry) so issues are found earlier and resolved faster.
• Partner across R&D and product to align on shared ownership, reliability, and operational standards.
• Mentor and support engineers so teams adopt best practices and get unblocked quickly.
• Protect production systems by improving health, stability, and incident readiness over time.

Why you'll love this role:

• Work on a DevOps-native product and platform where Kubernetes and GitOps aren’t “nice to have” — they’re core.
• Make visible, compounding impact by helping multiple teams ship and operate more effectively.
• Shape standards and direction for delivery, developer experience, and observability across the organization.
• Join a supportive, skilled team with room to learn, grow, and stay close to a fast-moving DevOps ecosystem.

Your background:

• 5+ years of experience with DevOps and cloud technologies.
• Deep expertise in Kubernetes and containerization.
• Strong knowledge of at least one major public cloud (AWS, GCP, or Azure) experience with more than one is a plus.
• Proficiency with Infrastructure as Code (Terraform, Pulumi, or similar).
• Strong familiarity with CI/CD practices and tooling.
• Experience with monitoring and observability stacks (Prometheus, Grafana, Loki, OpenTelemetry).
• Strong scripting and automation skills (Bash, Python).
• Excellent problem-solving and collaboration skills in distributed, cross-functional teams.

Nice to have:

• Experience with Crossplane and Argo projects (e.g., Argo CD, Argo Workflows).
• Knowledge of event-driven architectures (e.g., RabbitMQ).
• Familiarity with databases such as MongoDB or other NoSQL systems.
• Programming experience in Go or Node.js.

We’re looking for a product designer to help shape Lemon.io. You’ll take ownership of how Lemon looks and feels for our clients and talent. You will be collaborating closely with the Product and Engineering teams.

Why Lemon?

Lemon.io is a recruitment business powered by a marketplace of vetted engineers. Profitable. Millions in revenue. Bootstrapped. Distributed team. Customers from US, UK, Canada and EU. We value ownership, high speed and low-ego collaboration. We seek out people who care deeply, design fast, and are happy to build a great product. 

What we’re looking for:

• 3+ years of experience in product design (web-focused)
• A track record of working in a fast-paced product environment
• You enjoy complex web products, internal tools, and B2B workflows
• Portfolio showcasing successful product work that you are proud of
• Ability to simplify complicated user journeys into intuitive experiences
• Solid Figma skills and confidence working with design systems
• Proactive mindset: you don’t wait for perfect specs to start building things
• Product thinking: you want to understand the problem and the user, not just “do tasks”
• You can communicate in English
• Bonus: You worked for B2B products before
• Extra bonus: you worked with marketplaces
• Extra extra bonus: you worked with products for engineers
   

What you’ll do:

• In one sentence: Design Lemon.io, making it the best talent marketplace on the market.
• Own design projects from conception to delivery, collaborating with Product team and Engineering
• Design and improve existing products: Talent portal, CRM (yes, we have custom CRM), Client portal, and more
• Improve design processes
• Champion quick wins and impactful improvements
• Set the bar for design quality and the culture for how design works at Lemon
   

What we offer:

• Startup culture with open communication. Our current eNPS score is 82.
• Competitive salary in USD
• Full remote work with flexible working hours
• 28 working days of vacation a year
• 7 days of sick leave
• Annual reimbursements for things that matter to us: health, self-development, travelling, home office upgrade, mental wellness etc.

Start: asap (by the 9th of March)
Duration: long-term, by the end of 2026, with possible prolongation
Language Requirement: Fluent in English (spoken and written)

Requirements:
We are seeking a Data Engineer – Professional 2 to contribute to the development and delivery of modern data products in close collaboration with domain teams and cross-functional stakeholders.
This role is focused on hands-on implementation within a managed service setup. The consultant will support the building, governing, and operating of data products across the lifecycle, from ingestion to serving, while working under defined standards and guidance from senior team members.

Engagement Model
This is a managed service engagement.
We are procuring a cohesive delivery package from one supplier, not individual consultants from multiple vendors.
The supplier is accountable for service delivery, competence coverage, continuity, and performance at the service level.
Suppliers responding to this request must also respond to the two associated requests. Partial submissions will not be considered.
The assignment follows an output-driven delivery model.
Delivery offered and accepted per Program Increment (10-week setup cycle).
All consultants must be physically located within the EU due to regulatory data-sharing requirements.


Scope of Work
Build Data Products
 

• Source-aligned data products with domain teams in cross-functional teams.
• Analytical data products for BI, ML, and AI use cases in cross-functional teams.

Deliverables:
Source-aligned and analytical data products, including defined data contracts, documentation, SLAs, and runbooks.
Work According to Standards and Reusable Patterns
 

• Work according to and provide feedback on data contracts, modeling patterns, testing strategies, CI/CD pipelines, and golden paths.
• Contribute to reusable templates and shared libraries.

Deliverables:
Deliveries aligned with defined best practices.
Structured feedback and improvement proposals when standards or patterns are not functioning as intended.

Enable Domain Teams

• Work in cross-functional teams to bootstrap ownership, standards, and tooling.
• Support transition of ownership to domain teams when feasible.
• Perform pair-programming and structured collaboration.

Deliverables:
Pair-programming sessions and active cooperation with domain teams.
Structured knowledge transfer to enable sustainable ownership.
Professional Operations for Owned Products
 

• Ensure production-grade lifecycle management from ingestion to serving.
• Cover data quality, governance, lineage, SLA adherence, cost control, and observability.

Deliverables:
Monitoring of metadata, lineage, health, cost, and usage of delivered data products.

Out of Scope
The managed service team will not:

• Operate the Data Mesh platform, IAM, or observability stack. Responsibility remains with IXA.
• Own or operate operational systems of record. Responsibility remains with domain teams.
• Build dashboards or develop ML models. Responsibility remains with KDBDA/B.

Required Technical Competence

• 1–2 years of experience in Data Engineering.
• Minimum 1–2 previous assignments.
• Mandatory proven delivery of pipelines and data products on:

x AWS
x Snowflake
x dbt
x Azure
x Witboost
x Dreamio
 

• Proficiency in dbt and modern ELT/ETL practices.
• Experience with CI/CD and automated testing in data environments.
• Familiarity with Data Mesh environments.
• Familiarity with DataOps principles in production environments.
• Basic understanding of data governance, data contracts, and modeling patterns.

Personal Competencies

• Strong willingness to learn and develop within a managed service context.
• Ability to operate in an output-driven delivery model.
• High technical credibility and structured problem-solving ability.
• Strong collaboration skills in cross-functional and distributed teams.
• Proactive, quality-oriented, and improvement-driven.

Additional Information

• As an approved exception for this specific managed service request, the standard CV template requirement does not apply. Suppliers may submit their own CV format for this assignment.
• All consultants must be located within the EU due to regulatory data-sharing requirements.
• All interviews will be conducted remotely.

Job Description:
We are looking for an experienced software engineer with strong technical expertise, excellent problem-solving skills, and the ability to work effectively in a collaborative environment. The ideal candidate should have a proven track record of working on complex systems, particularly in networking and Python development. Candidates with a strong background in both software development and QA engineering are encouraged to apply for this role. 

Technical Requirements:
     1. Networking Experience:
 Experience with networking devices like routers and switches.
 Experience with FW/SW development for networking devices using C/C++
 Experience with SW development using Python
 Experience with BSP, data plane, or control plane protocols development for networking devices
 Experience with data path automated tests development for network devices, using Python/Pytest.
 Experience with SW/HW bring-up/integration of networking devices.
 Solid understanding of the differences between routing and forwarding, as well as switches and routers.
 Familiarity with VLANs.
 Proficiency in TCP/IP and UDP protocols.

    2. Advanced Network Skills:
 Experience with link aggregation and LACP.
 Understanding of load balancing algorithms such as ECMP
 Understanding of SPAN/RSPAN/ERSPAN, ACL
 Familiarity with traffic mirroring.
 Knowledge of automatic routing protocols like BGP, OSPF, RIP, and IS-IS.
    3. Programming and Tools:
 Advanced C/C++ programming skills.
 Advanced Python programming skills.
 Experience with Pytest, Scapy, traffic generators, traffic analysers, etc.
 Git/ GitHub

    4. Additional Skills (Optional but Preferred):

 Knowledge of embedded systems, Linux, or related technologies is an advantage.
 Familiarity with tools like Jira, and CI/CD pipelines.