Jobs at Djinni

Lead Computer Vision & ML Engineer — Founding Role

About Us

We are a newly funded MilTech startup building an on-premises platform for automated annotation of petabytes of UAV video and training computer vision models for autonomous flight. We have a strategic partnership with the largest Ukrainian UAV manufacturer and access to what is the largest privately owned UAV video dataset in the world. We are at the very beginning — the technical plan exists, the funding is secured, the data is real — and now we need the right people to turn it into reality.

The Role

We are looking for a Lead CV/ML Engineer as a founding member of the engineering team. This is not a role where you inherit a codebase and maintain it. You will define the ML architecture, choose the tools, build the pipeline from scratch, and grow a team around it as the platform matures.

The technical plan outlines the direction — petabyte-scale video processing, active learning, edge deployment on Jetson — but the specific implementation decisions are yours to make. We value strong technical judgement over checkbox experience with a predefined stack.

What You Will Own

ML Architecture & Technical Direction
- Define the end-to-end ML pipeline: from raw video ingestion through data curation, training, and deployment to UAVs
- Evaluate and select the tools and frameworks that best fit the problem (our current thinking: PyTorch, Ray, MLflow, FiftyOne — but nothing is set in stone)
- Establish training infrastructure, experiment tracking, and model versioning from day one
- Make build-vs-integrate decisions across the stack

Data Pipeline & Curation
- Design video preprocessing pipelines: clip segmentation, frame extraction, scene detection, embedding extraction
- Build a data curation workflow to select diverse, high-quality training subsets from a massive raw corpus
- Define the annotation ontology and labelling policy for detection, classification, and multi-object tracking

Model Development
- Train and iterate on computer vision models for object detection, scene classification, tracking, and segmentation
- Implement distributed multi-GPU training for large-scale experiments
- Design the active learning loop: auto-labelling with confidence routing, human review integration, retrain triggers
- Define quality control metrics and model promotion criteria

Edge Deployment
- Optimize models for real-time inference on NVIDIA Jetson (ONNX, TensorRT, INT8 quantization)
- Validate edge accuracy against training baselines
- Design the model delivery pipeline from registry to deployed UAVs

Team Building
- Hire and mentor ML engineers as the team grows
- Establish engineering practices: code review, testing, documentation
- Own the ML technical roadmap and communicate it across the company

What We Are Looking For

Must Have
- 5+ years in computer vision and deep learning, with production deployments
- Strong PyTorch proficiency, including distributed training
- Experience with object detection and tracking pipelines (YOLO family, RT-DETR, Detectron2, or similar)
- Hands-on model optimization for edge or mobile deployment (TensorRT, ONNX, SNPE, or similar)
- Experience building training infrastructure (pipelines, experiment tracking, CI/CD for ML)
- Proven ability to lead a small engineering team (hiring, mentoring, technical guidance)
- Python as primary language; clean, production-grade code

Strong Plus
- UAV / drone / robotics domain experience
- NVIDIA Jetson deployment experience
- High-performance video processing pipelines (DeepStream or custom)
- MilTech or defense-related work
- Experience defining ML architecture from scratch at an early-stage company
- C++ for performance-critical components

Proposed Tech Stack

This is our starting point, not a mandate. The right candidate will validate, adjust, or replace these choices based on their experience.

- Training: PyTorch, distributed training (DDP/FSDP) 
- Data processing: Ray Data or equivalent scalable framework 
- Data curation: FiftyOne, embedding-based selection 
- Annotation: CVAT with pre-annotation and active learning 
- Experiment tracking: MLflow 
- Edge: ONNX → TensorRT → NVIDIA Jetson 
- Infrastructure: Kubernetes, on-prem GPU cluster 
- Storage: S3-compatible object storage (Ceph) 

What We Offer

- A founding engineering role with direct influence on the technical direction of the company
- Ownership of the full ML pipeline end-to-end — from raw video to models flying on UAVs
- The largest privately owned UAV video dataset in the world — petabyte-scale, impossible to replicate
- Dedicated on-prem GPU resources — no cloud queues or budget negotiations for compute
- Open-source-first approach with no vendor lock-in
- The opportunity to build and lead an ML team from the ground up
- Competitive salary
- Stock option
 

You are the one who brings the best talent into the team - from media buyers and ASO specialists to financial gurus and operational pros. A recruiter here is an ambassador of the employer brand and a strategic partner for department leaders. It is you who finds the people that help the company grow faster, stronger, and bolde

Responsibilities:

• Managing the full recruitment cycle: from sourcing to onboarding;
• Posting job openings on job boards and niche platforms: Telegram/LinkedIn/industry-specific communities;
• Active sourcing of candidates (Boolean search, LinkedIn, Telegram, Facebook, Instagram, professional networks);
• Screening and conducting interviews (online/offline);
• Negotiating offers and supporting candidates until their start date;Gathering requirements and creating job profiles together with hiring managers;
• Regular communication on the status of each search;
• Providing market insights, salary expectations, and talent availability;
• Supporting the onboarding process for new hires;
• Creating attractive job descriptions and company-related content;
• Maintaining the company’s presence in professional communities;
• Organizing internal and external events that strengthen the employer brand;
• Managing the candidate database in an ATS (PeopleForce or similar);
• Preparing regular reports on the quantity, quality, and speed of closing vacancies;
• Tracking KPIs across the recruitment funnel (from application to offer).

Requirements:

• Experience in recruitment/talent acquisition of at least 2 years (preferably in digital, IT, or affiliate marketing);
• Skills in active sourcing, conducting interviews, and evaluating candidates;
• Understanding of the digital market and key roles (media buying, ASO, financial and operational positions);
• Proficiency with sourcing tools (LinkedIn Recruiter, Boolean search, Telegram bots and databases);
• Excellent communication skills and a results-oriented mindset.

Akvelon is looking for a Senior Middleware Engineer to join an existing team on the project — a flexible Terminal Operating System (TOS) platform for marine terminal operators that helps optimize and scale port operations. The system is multi-language, highly configurable per site, and supports workflows handling ~12% of all global freight moves.
 

Responsibilities:

• Develop and maintain middleware/backend services and integrations for a large-scale enterprise platform
   
• Design and optimize services with a strong focus on performance, reliability, and scalability
   
• Work with Java 11/17 + Spring/Spring Boot, ensuring clean architecture and maintainable code
   
• Perform memory management and performance tuning for high-load components
   
• Write and maintain unit tests, contribute to overall quality and engineering standards
   
• Collaborate with product/engineering stakeholders and communicate progress clearly
   
• Occasionally support React-based UI parts when needed (integration points, minor UI tasks)
   

Requirements:

• Senior-level experience in backend/middleware engineering
   
• Deep expertise in Java (11/17) + Spring/Spring Boot
   
• Strong understanding of JVM memory management, profiling, and performance tuning
   
• Solid unit testing practices and hands-on experience with test frameworks
   
• Upper-Intermediate English or higher with strong communication skills
   
• Ability to travel abroad (business trips to customer sites such as terminals/ports may be required)
   

Nice to have:

• Experience with React (working level)
   
• Background in logistics, transportation, ports, or other operationally critical enterprise systems
   

What we offer:

• Long-term cooperation with a stable, existing Akvelon client
   
• Opportunity to work on a globally impactful product in the marine logistics domain
   
• Professional growth, strong engineering culture, and collaboration with experienced teams
   
• B2B contract, competitive compensation
   
• Paid vacation and sick leave
   
• Flexible schedule and remote work format (subject to travel needs)
  
   

If this role sounds like a match, apply now and send us your CV.

Please also share your current location, English level, and travel availability — we’ll get back to you to discuss the next steps.

We are looking for a part-time graphic designer to support our edtech SaaS company, which provides data analytics solutions, with a variety of design projects.
 

Typical tasks may include:
- Product illustrations and design materials for new product launches
- Case studies
- Brochures and flyers
- Email and social media banners
- Conference assets (roll-up banners, booth materials, etc.)
- Motion designs
- Product animations
- Website and landing page design
 

The average workload is approximately 15–25 hours per month.
 

If this opportunity sounds interesting and you have experience creating diverse marketing assets, preparing files for print, and designing product illustrations, I would be glad to review your CV and portfolio.
 

Lasker.ai is developing an intelligent AI assistant for Amazon sellers — helping them manage products, reduce account risks, and make smarter business decisions.Powered by official data and advanced AI analysis, our assistant delivers clear guidance, personalized recommendations, and visual insights to improve listings, pricing, and overall performance on Amazon.
We’re now looking for an experienced Growth Marketing Manager to boost organic and affiliate paid user acquisitions, which will be a clear sign of traction for investors.
 

💡 What you’ll do

• Build and scale acquisition engine – Develop and implement multi-channel user acquisition strategy across influencer, affiliate, partner, organic (SEO, content, community), and lifecycle channels. Own budget allocation, CAC targets, and channel prioritization.
• Build self-sustaining growth loops – Experiment with and build community, referral, LLMO, and viral mechanisms to fuel organic, compounding growth.
• Develop and scale partner programs – Build affiliate, partner, and co-marketing programs that expand reach and accelerate adoption; manage partner recruitment, enablement, and performance.
• Optimize full-funnel performance – Own activation, conversion, expansion, and retention metrics across customer lifecycle; identify friction points and implement improvements to drive efficient growth.
• Drive retention and reduce churn – Design and execute retention programs targeting at-risk segments; implement win-back campaigns, onboarding optimization, and engagement loops to reduce churn and increase customer lifetime value.
• Lead product launches – Own go-to-market strategy for new features and product launches.
• Own growth analytics and forecasting – Track, analyze, and report on acquisition, activation, retention, and revenue metrics; build cohort analyses; partner with Finance on revenue forecasting and growth modeling.

🧠 What we’re looking for

• 5+ years growth marketing experience in B2B SaaS, preferably $1-2K ACV. 
• Demonstrated success building and scaling at least 3 acquisition channels (influencer, affiliate, partner, SEO, content, paid, community).
• Experience designing lifecycle programs that measurably reduced churn and increased LTV; comfortable with cohort analysis, retention curves.
• Experience driving adoption and expansion in PLG environments through experimentation, product analytics, and user behavior analysis.
• Comfortable with analytics tools (Mixpanel, Amplitude, etc.), cohort analysis, statistical significance, and A/B testing.
• Expert-level understanding of CAC, LTV, payback period, churn impact modeling, and channel-level profitability.

Soft Skills:

• Strategic thinker with execution excellence.
• Taking full accountability for outcomes, not just activities.
• ROI-centric decision making based on impact and efficiency.

⚙️ Nice to have

• Experience in e-commerce, marketplaces, or seller tools.
• Prior experience at early-stage startup (pre-Series B) or hyper-growth phase.
• Experience scaling a marketing function from 0 to 1 or 1 to a team.

✨ Join us at Lasker.ai — and help build automation that thinks.

🚀 About Kilona.io

At Kilona.io, we build high-quality, high-speed web and mobile AI applications. We work with top global startups to create cutting-edge products that are fast, precise, and beautifully engineered. 

Currently, we're expanding our team to support our active mobile AI product with a modern stack.
 

💼 What You'll Do

• Develop and maintain mobile applications using React Native
• Create and optimize backend APIs with Node.js
• Work with relational and non-relational databases
• Refactor and improve code performance and maintainability
• Collaborate closely with a small and focused remote team
   

✅ Requirements

• 2+ years of hands-on experience with React Native (both Expo and CLI)
• 1+ year working with Node.js (Express.js)
• Strong knowledge of JavaScript, ES6+ features
• Confident with Git, React Native navigation, and modern development workflows
• Experience with REST APIs and integrating databases (e.g., PostgreSQL, MongoDB, Firebase, Supabase, AWS DynamoDB, etc.)
• Good communication skills in English (B2 level or higher)
   

✨ Would be awesome if you have

• Experience with mobile app deployment (App Store, Google Play)
• Understanding of CI/CD pipelines for mobile apps
• Experience using AI-powered dev tools (e.g. ChatGPT, Cursor AI, Lovable, V0) to speed up development
   

🧑‍💻 Working Conditions

• Hourly-based payment model (overtime is always paid)
• Fully remote — work from anywhere
• Flexible schedule — we appreciate team overlap but you manage your own time
• Easy time-off policy — take days off when you need, no bureaucracy
• Work on cutting-edge AI products in a fast-paced and supportive environment

🔍 Hiring Process

1. Video intro OR Quick screening call (20 - 30 mins)
2. Technical interview (up to 1 hour)
3. Final interview (optional)
4. Offer 🎉

Interested? Let’s talk! 📨 Drop us a message — we’re always open to meeting like-minded people.

About Strim Duo:

Strim Duo is a creative and high-tech game and digital product studio headquartered in Limassol, Cyprus. The company provides a wide range of services, including social game development, product engineering, UX/UI design, custom software solutions, mobile applications, and post-launch product support.

Strim Duo helps partners create engaging and highly effective game content: from social and arcade games to MMORPGs and children’s apps, integrating advanced monetization mechanics and social network features (strim-duo.com)
The expertise we’re looking for

• Excellent knowledge PHP 7.4+;
• Good understanding of SOLID;
• Strong knowledge of PHPUnit;
• Experience with Docker;
• Ability to work with Git;
• Knowledge of Nodejs and Symfony will be a plus;

Your position will include

• Development of a backend part in PHP for slot/table/instant games based on the internal Framework;
• Support of existing games, participation in the development of intra-team projects;

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.

We are looking for a Senior ML & AI Engineer to join us as part of our team.

About the role

PitchBook’s Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for the capital markets. This role will also serve as a resource and mentor for junior members of the team. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team.

About the project

PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more.

Team

1 EM, 5 ML Engineers

Work Environment

The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology.

As a qualified expert, You will

• Work with GenAI & LLMs: Design, develop, and fine-tune generative AI models using transformer architectures. Implement advanced techniques to create practical solutions for real-world challenges.
• Use Modern Toolkits: Leverage frameworks like LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents. Integrate these tools with vector databases for efficient similarity search and real-time analysis.
• Extract Data Insights: Process and analyze large volumes of unstructured data using embeddings and statistical modeling to identify meaningful insights.
• Build Scalable Systems: Collaborate with cross-functional teams to create production-grade ML systems that handle real-time, high-volume data processing.
• Mentor & Lead: Act as a mentor for junior team members and stay updated on trends in Agentic AI, transformer models, and generative systems.
• Collaborate & Communicate: Work with Product and Engineering teams to improve data management and support innovation. Present complex analyses clearly and effectively.
• Tech Stack & Focus Areas: Work with generative AI and transformer models, integrating frameworks like LangChain, LangGraph, and LangSmith to automate workflows and build intelligent systems. Use PyTorch, Scikit-Learn, and Spacy to build NLP pipelines. Implement vector databases for high-dimensional data embeddings and develop hybrid models to extract insights from diverse data sources.

We’re looking for you if you have

• Educational Background:You hold a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field.
• Experience:You bring 4+ years of production experience in the ML field, with a track record in developing transformer-based models and deploying them in scalable systems.
• Technical Expertise:
  • Proficient in Python and machine and deep learning frameworks like TensorFlow, PyTorch, ScikitLearn, Spacy or other.
  • Experienced in natural language processing and modern LLM based techniques.
  • Experience with full ML lifecycle, data preprocessing, training, evaluation stages and monitoring techniques
  • Skilled with SQL and data extraction methods.
• Innovative Thinker:

You thrive on solving complex problems and are always exploring new trends in Generative AI.

• Collaborator & Communicator:

You’re an excellent communicator able to collaborate and express your thoughts in a professional manner to team members, other engineering teams and stakeholders.

• Domain Knowledge:

Exposure to financial services, investment banking, venture capital, or private equity is nice to have.

What’s in it for You

Reveal great tech solutions

Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.

Experience an agile and flexible working environment

Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work.

Embrace the opportunity for personal and professional growth

Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more.

Be among like-minded people

Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.

Про компанію SPD TechnologySPD Technology is a custom software product development and IT consulting company with a world-class team of over 600 experts with extensive expertise in solving big-time technical challenges, efficiently managing large-scale software development efforts, and seamlessly integrating with the client’s business through tailored, long-term partnerships for delivering cutting-edge tech solutions that drive clients' growth.

Our major expertise includes 10 key industries: Fintech, E-commerce, Telecom / IoT, e-Learning, Logistics, Insurance, Biotech, Cybersecurity, Medicine, Wellness. Our top-notch engineering teams deliver Web, Mobile, AI/ML or Enterprise solutions for world-renowned businesses and budding startups. Our key clients are iconic brands such as PitchBook, MorningStar, Roche, and more. Ten of our clients report more than $100 million in annual revenue.

We have 3 development centers in Eastern Europe, and remote teams, working worldwide. With over 17 years of experience in designing, building, streamlining, and supporting software products, SPD Technology drives growth of businesses from the US, the U.K., Israel, Switzerland, Mexico, and other countries.

Let’s create empowering tech solutions together!

About the role

We’re building a high-velocity Apps Factory – a machine that launches, tests, and scales subscription mobile apps across multiple niches (health, wellness, utilities, education, astrology, AI tools and more).

Your mission as a Creative Producer is to turn insights, briefs and angles into scroll-stopping creatives that drive user acquisition across W2W and W2A funnels.

You’ll sit at the heart of performance + storytelling + production, working closely with Growth Marketing, UA and Product to ship and iterate winning concepts at scale.

This role can grow into Lead Creative Producer / Head of Creative Studio as we expand the portfolio and build a full in-house creative engine.

Why join us

• Create for impact, not for awards – you see results in ROAS, CTR, installs and revenue, not just “nice” campaigns.
• Work across many apps & verticals – new ideas, new audiences, no stagnation.
• High test velocity – dozens of variations, constant iteration, fast feedback from data.
• Play with formats – UGC, short drama, Reels/TikTok, motion, static, AI-assisted creatives.
• Be part of the core team – you’re not a service function, you’re a key growth driver.
• Career upside – help build the creative conveyor from scratch and later lead the team.

What you’ll do

• Turn growth briefs and hypotheses into clear creative concepts, scripts, and storyboards.
• Produce and manage UGC, influencers, actors, voiceovers, editors, designers where needed.
• Work with AI tools (image, video, script, VO) to speed up versioning and localization.
• Own the creative pipeline for your apps: from idea → test asset → winner → scalable pack.
• Collaborate daily with:
  • Growth Marketing – angles, messaging, offers, audience insights.
  • UA – formats, placements, specs, testing structure.
  • Product – alignment with funnel, paywalls, in-app experience.
• Maintain a structured asset library with tags (angle, persona, format, hook, language, app).
• Keep an eye on TikTok / Reels / Shorts trends and adapt them to our apps and markets.

In your first 3 months you will

• Deep dive into our apps, audiences and funnels (W2W & W2A).
• Take ownership of creative production for 1–2 priority apps.
• Ship multiple creative packs (AI + UGC + motion + static) and iterate based on results.
• Build a basic creative conveyor: simple process, clear stages, tagging, and feedback loop.

Ideal profile

• 3+ years in performance-driven creative: mobile apps, DTC, subscription products, or agencies.
• Strong skills in video-first formats (TikTok, Reels, Shorts, UGC-style content).
• You can turn a dry performance brief into a simple human story or hook.
• Comfortable working with creators / actors / editors and managing small productions end-to-end.
• Data-curious: you don’t have to be an analyst, but you care how your creatives perform and want to see the numbers.
• You like speed: test, learn, move on. Not months of polishing.

We are looking for an experienced Site Reliability Engineer to join a fully remote project.

🚀 About the Role

We are seeking a Senior-level SRE with a strong background in building reliable, scalable, and secure cloud infrastructure.

The interview process includes several technical stages, so we are looking for a confident engineer with solid hands-on experience and strong communication skills in English.

🛠 Requirements

• 4+ years of experience as an SRE / DevOps Engineer
• Strong hands-on experience with AWS (EC2, EKS, RDS, IAM, VPC, CloudWatch, etc.)
• Production-level experience with Kubernetes
• Infrastructure as Code (Terraform / CloudFormation)
• CI/CD experience (GitHub Actions / GitLab CI / Jenkins)
• Monitoring & logging (Prometheus, Grafana, ELK or similar)
• Strong understanding of High Availability, Disaster Recovery, and security best practices
• Solid Linux background
• Upper-Intermediate+ English (mandatory)

📌 Nice to Have

• Experience with multi-account AWS architecture
• SRE practices: SLI/SLO, error budgets
• Auto-scaling strategies and cost optimization
• Experience with large-scale production environments

🌍 Work Format

• Fully remote
• Project-based engagement
• Flexible schedule

💬 Interview Process

• Multiple technical stages
• Live coding / system design discussion
• English proficiency evaluated throughout the process

Who We Are

PAR Retail, with its Open Commerce® product suite and patent pending Wallet Steering® System, empowers Convenience & Fuel Retailers to gain more share of wallet and customer lifetime value than possible with any other solution provider. PAR Retail’s unified Open Commerce product suite consists of: Activate for Intelligent 1:1 Loyalty, Transact for Contactless Commerce, and Experience for Cross-Channel Customer Experiences. PAR Retail’s solutions are supported by a set of subscription-based program management services and are contractually backed by its 1.5X Performance Guarantee.

Technology Stack:

Ruby, Ruby on Rails, Postgres, Redis, Sidekiq, GraphQl, RabbitMQ

Requirements:

- Practical experience building systems in Ruby on Rails

- At least 6 years industry experience or equivalent

- Experience building and maintaining backend APIs, including design, implementation, evolution, and maintenance

- Familiarity with TypeScript, or similar modern strongly-typed language

- Proficiency using a variety of database technologies, both relational and non-relational

- Strong understanding and familiarity with CI/CD pipelines and automated tests

- An ability to work in service-based architectures as well as well-factored Rails monolith applications

- Highly independent and able to effectively self-organize and prioritize work

- The ability to write clean code, and the discipline to write effective automated tests to deliver high-quality system improvements

- An ability to effectively break down larger bodies of work for delivery as a series of small, self-contained changes to the system

- Excellent spoken and written communication skills

- BS/MS degree in Computer Science, Engineering, or equivalent years of professional working experience

Bonus Points

- Experience with NodeJS and React

- Experience in the retail and/or fuel & convenience industries

- Experience working in distributed teams

- Experience with Nest.js and/or GraphQL

- Readiness to work in the ET (US) time zone

Responsibilities:

- Collaborate closely with other Engineers, design and implement new functionality based on product objectives and requirements.

- Work with the broader product engineering team to plan and coordinate feature and functionality improvements, as well as resolve bugs and execute technical enhancements, that cross-cut large parts of our platform.

- Work to continually learn, improve technology skills, expand knowledge of the our platform technologies, and gain increasing versatility across the breadth of our platform systems.

- Expand APIs and business logic, and as needed write or revise customer-facing API documentation.

- Work with our infrastructure team to enable and enhance highly-available, performant, and well-instrumented backend applications and services that run in our customer environments at substantial scale.

- Support operations and infrastructure teams for issue resolution on relevant applications or services running in production environments.

PAR Retail Offers:

- Long-term employment;

- Competitive compensation with regular performance-based salary and career development reviews;

- Paid vacations and sick leaves;

- Health insurance program;

- Flexible working hours;

- Sponsored company educational program, corporate library;

- Comfortable and cozy office;

- Funny celebrations, team outings, and company events;

- A unique and friendly environment where everyone can explore and learn new technologies.

We are looking for an experienced Middle QA Engineer to test an online casino web platform. We need a specialist who will take ownership of product quality, participate in test planning, and conduct in-depth problem analysis.

Requirements

Education & Experience:

• 2+ years of commercial experience in Manual QA.
• Experience in the full lifecycle of web application testing within product teams.
• Understanding of SDLC and Agile/Scrum methodologies.

Technical Skills:

• Deep knowledge of testing theory and test design techniques.
• Proficient experience with PostgreSQL or other relational databases (writing queries).
• Experience in REST API testing, understanding of HTTP/HTTPS protocol, and work with Postman/Swagger.
• Proficiency with Chrome DevTools and other browser developer tools.
• Experience with Jira and test management systems (Zephyr Scale, TestRail).
• Understanding of client-server application architecture.
• Experience in log analysis and working with monitoring systems (Grafana or similar).

Languages:

• English — B2+ level (reading documentation, writing bug reports).

   

Nice to Have

• Experience in the iGaming/Gambling industry (1+ year).
• Knowledge of payment systems, processing specifics, and financial transactions.
• Experience with monitoring systems (Grafana, Kibana, ELK) and security testing.
• Experience with DBeaver or similar database tools.
• Active use of AI tools (ChatGPT, Claude, Copilot) for optimizing workflows: generating test cases, writing SQL queries, analyzing logs, and creating documentation.
   

Benefits

• Format: Remote work (full-time, 40 hours per week).
• Schedule: Flexible working hours, national holidays observed.
• Impact: A responsible role with real influence on the quality of an international product.
• Tech Stack: Work with a modern technology stack and high-load systems.
• Growth: Professional development with opportunities to grow into a Senior QA / QA Lead role, or to move towards automation or team management.
• Processes: Participation in technical and architectural decision-making.

We’re looking for an experienced Embedded Developer with Rust programming experience to join our embedded development team. You will work on a smart sleep-tracking device in the IoT domain, contributing to a high-impact product with complex technical challenges and strong engineering standards.

CUSTOMER

Our Customer is a major international company specializing in the development of smart sleep-tracking devices.

PROJECT

By joining this project, you’ll work with a team of experienced engineers to enhance the capabilities and performance of a smart sleep-tracking device. The device connects to a mobile application and provides users with a wide range of advanced analytical metrics.

Responsibilities:

• Develop software components using C and Rust
• Contribute to the development of technical project documentation and user documentation
• Participate in conference calls and face-to-face meetings with the Customer and Customer partners
• Comply with the best engineering practices, technical standards, and quality criteria set forth on the project
• Report on status and progress according to the project and company demands
• Spot current deficiencies in the development process, adopted procedures, engineering practices, environment configurations, etc., and suggest improvements
• Escalate technical issues to the Architect, Team Lead, and Project Manager
• Improve your qualification within the areas of expertise by attending various training courses, seminars, and/or other educational organizations

Requirements:

• Strong C programming skills
• Good Rust coding skills
• Experience with networking and IoT device development
• Knowledge of ESP 32 MCU, interfaces, and protocols (UART, I2C, SPI, I2S)
• Good understanding of WebRTC, WebSocket, and FFmpeg
• Experience with Linux OS
• Experience in debugging and troubleshooting solutions for embedded systems. It should include software debugging on real hardware and debugging of hardware issues
• At least an Upper-Intermediate level of English

Will be a plus:

• Expertise in video transcoding (H264, H265, MJPEG) and streaming concepts
• Knowledge of audio transcoding (AAC, OPUS, PCM, G.711, G.722) and streaming concepts
• Experience with C++14 or higher
• Practical experience with Bash and Python
• Knowledge of Google Protobuf protocols

Personal Profile:

• Detail-oriented and quality-focused
• Strong problem-solving skills
• Ability to work independently and in a team
• Good communication skills
• Eager to learn and adapt to new technologies

As an ML Engineer, you'll work at the intersection of machine learning systems, knowledge representation, and reasoning infrastructure — building the foundational intelligence layer that powers our platform. This isn't about wrapping APIs or fine-tuning models in isolation. You'll be solving hard problems at the frontier of applied ML.

What you'll work on:

Designing ML pipelines that transform unstructured, proprietary information into semantically rich, queryable representations

Building and integrating models that enable probabilistic reasoning, multi-hop inference, and context-aware decision support

Developing agentic workflows where AI assists human judgment through explainable outputs, uncertainty quantification, and iterative feedback loops

Defining evaluation metrics and testing frameworks for high-stakes, information-led environments

Contributing to architectural decisions around ML infrastructure and model serving

Collaborating closely with backend engineers, product, and domain experts

What We're Looking For

Strong foundations in machine learning — NLP, information extraction, representation learning

Systems thinking mindset, not just model performance in isolation

Comfortable working in ambiguity and defining problems from first principles

Intellectually honest — willing to challenge assumptions, including our own

Pragmatic: ships working systems, iterates on real feedback, avoids over-engineering

Cares about reproducibility, clarity, and long-term maintainability

What We Offer

Work on genuinely hard, foundational problems at the intersection of ML and knowledge systems

Founder-led, deeply technical environment — low-ego, high-ownership

Fast feedback loops, strong opinions, high bar for clarity

Flexible/hybrid setup centred around London

Early-stage equity

Our Values

First-principles thinking. Human judgment matters. Intellectual honesty. Trust by default. Compounding advantage. Build infrastructure, not wrappers.

The Role

We are looking for a highly skilled Senior DevOps Engineer to strengthen our Cloud Platform team. This is a hands-on technical role critical to ensuring our operational excellence, security, and resilience.

You will help build a secure, scalable, and compliant cloud infrastructure that serves as the foundation for all our product teams. This role requires deep hands-on experience with AWS, Kubernetes, and Infrastructure-as-Code.

Crucially, you will be responsible for navigating the strict regulatory landscape of a financial institution. You must have successfully navigated environments requiring ISO 27001, PCI DSS, and DORA compliance. You will work closely with the Cloud Platform Manager and security teams to implement the controls and processes necessary to keep our platform secure and compliant.

While this is a remote-first role, you should be based in a CET-adjacent timezone to collaborate effectively with colleagues.

What You'll Do

• Build Cloud Infrastructure: Design, implement, and maintain our AWS-based infrastructure (EKS, EC2, RDS, IAM, VPC, KMS, networking).
• Infrastructure as Code (IaC): Develop and manage our infrastructure using Terraform/Terragrunt, Helm, and Kubernetes manifests.
• CI/CD & GitOps: Build and optimize CI/CD pipelines (GitHub Actions/GitLab CI) and operate GitOps workflows using ArgoCD or Flux.
• Compliance Implementation: Implement and maintain the specific technical controls and processes required for ISO 27001, PCI DSS, and DORA.
• Security Operations: Apply best practices for cloud security, encryption, access control (IAM, RBAC, Zero Trust), and support incident response.
• Observability: Configure and maintain our observability stack using Prometheus, Grafana, Loki, Alloy, and OpenTelemetry.
• Documentation: Create clear technical documentation, standards, and security policies to support audits and internal knowledge sharing.

• Disaster Recovery: Support Disaster Recovery (DR) and Business Continuity planning and testing.

   

What We're Looking For

• Experience: 5+ years of professional DevOps experience, with a proven track record of building secure cloud environments.
• Compliance Expert: Mandatory hands-on experience implementing and passing audits for ISO 27001, PCI DSS, and DORA. You must understand the technical reality of these frameworks.
• AWS Mastery: Deep experience with AWS services, particularly EKS, networking, and security.
• Certification: AWS Certified Solutions Architect – Associate (Mandatory).
• Container Orchestration: Expert-level knowledge of Kubernetes (EKS), including autoscaling, IRSA, network policies, and cluster security.
• IaC Expertise: Strong proficiency with Terraform / Terragrunt and GitOps methodologies.
• Observability: Experience with monitoring, logging, and distributed tracing tools (Prometheus, Grafana, Loki).
• Security Mindset: Solid understanding of networking (TLS, VPN, WAF) and identity management (IAM, RBAC).

• Soft Skills: Strong ownership mentality, proactive problem-solving, and the ability to communicate effectively with auditors and stakeholders.

   

Bonus Points

• Certifications: AWS Security Specialty, AWS DevOps Engineer (Professional), or CKA/CKAD (Kubernetes).
• Familiarity with MiCA (Markets in Crypto-Assets) regulations.
• Experience with Vault, AWS Secrets Manager, or SSM Parameter Store.
• Experience building AWS Landing Zone / Control Tower architectures.

• Background in FinTech, RegTech, or enterprise banking environments.

   

What We Offer

• Foundational Role: A key role in building the compliant infrastructure backbone for a major European crypto platform.
• High Standards: The opportunity to work in a high-compliance, high-security environment that values technical excellence.
• Clear Ambition: The chance to join a company with a clear goal of becoming the #1 crypto platform in the EU.
• Greenfield Culture, Brownfield Code: A rare chance to join a new company culture with no baggage, while solving the interesting technical challenges of a mature product.
• Flexibility & Connection: A 100% remote-first role with periodic, all-expenses-paid team gatherings and a new hub in Ticino, Switzerland.
• Compensation: A competitive salary and benefits package.