Jobs

Trinetix is looking for a skilled AI Engineer. 

Join our team at Trinetix and collaborate on a project with a global telecommunications leader operating one of the world’s most reliable Internet backbones across more than 100 countries. In this role, you will contribute to large-scale AI initiatives focused on improving network operations through intelligent automation, predictive insights, and AI-driven workflows. 

You will work on GenAI applications, AIOps intelligence, and RAG-based systems, helping to transform how complex telecom infrastructure is monitored, analyzed, and operated. The role combines engineering, data, and product thinking to deliver AI solutions with measurable business impact. 

Join us and grow your career in a dynamic international environment while helping shape the future of AI-driven network operations. 

What You’ll Do:

• Design and implement AI/ML pipelines, including LLM-based applications, GenAI frameworks, and vector retrieval systems. 
• Build production-grade AI integrations in Python, ensuring scalability and reliability. 
• Apply enterprise AI patterns such as RAG, observability, agent workflows, and model evaluation. 
• Architect secure, scalable integrations between cloud platforms and enterprise systems. 
• Develop data pipelines, event streams, and observability frameworks to support AI at scale. 
• Collaborate with Data Scientists on feature engineering, model evaluation, and experiment design. 
• Contribute to AI-driven telecom solutions by learning and applying concepts in IP routing, EVPN/L3VPN, telemetry, and optical networking. 
• Translate technical capabilities into measurable business impact through KPIs, ROI analysis, and product-focused thinking. 

About You:

• 5+ years of experience in data, analytics, machine learning, or AI-driven environments. 
• Strong hands-on expertise with LLMs, GenAI frameworks, ML/analytics pipelines, and vector databases. 
• Proficiency in Python and experience delivering production-grade AI solutions. 
• Solid understanding of enterprise AI patterns (RAG, observability, agent workflows, model evaluation). 
• Knowledge of data pipelines, event-driven architectures, and system-to-system integration. 
• Familiarity with data science practices: feature engineering, statistical modeling, experiment design, and hypothesis-driven analysis. 
• Ability to work with structured and unstructured data, conduct exploratory analysis, and guide AI solution design. 
• Experience collaborating across engineering, architecture, IT, and operations teams. 
• Strong communication skills to simplify AI concepts for non-experts. 
• Curiosity and adaptability to learn emerging AI tools and telecom domain concepts. 

Must-haves:

• AI/ML Engineering: LLMs, GenAI frameworks, vector retrieval systems, ML lifecycle practices. 
• Programming: Python (production-grade AI integrations). 
• Architecture & Integration: Cloud-native integrations, event streams, observability, secure connectivity patterns. 
• Data Science Collaboration: Feature engineering, model evaluation, experiment design. 
• Telecom Learning Ability: Motivation to learn IP routing, EVPN/L3VPN, telemetry, optical networking. 
• Product Thinking: KPI design, ROI measurement, business impact translation. 

Ideally, You Also Have:

• Experience with RAG-based systems and advanced observability frameworks. 
• Familiarity with MLOps practices (model monitoring, validation, lifecycle management). 
• Knowledge of agent workflows and orchestration patterns in enterprise AI. 
• Exposure to telecom-specific AI use cases (network telemetry, predictive maintenance, intelligent automation). 
• Сloud-native AI platforms and scalable data infrastructure. 

What we offer:

• Continuous learning and career growth opportunities 
• Professional training and English/Spanish language classes   
• Comprehensive medical insurance 
• Mental health support 
• Specialized benefits program with compensation for fitness activities, hobbies, pet care, and more 
• Flexible working hours 
• Inclusive and supportive culture 

About Us

Our client is MilTech startup building an on-premises platform for automated annotation of UAV video and training computer vision models for autonomous flight.

We have a strategic partnership with one of the largest Ukrainian UAV manufacturers and access to what is likely the largest privately owned UAV video dataset in the world.

The company is at a very early stage — the funding is secured, the technical vision exists, and the data is available. Our focus now is building the core engineering team to turn this platform into reality.

The Role

We are looking for a Lead Computer Vision / Machine Learning Engineer to join as a founding member of the engineering team.

This role is highly hands-on and strategic. You will define the ML architecture, select the tools and frameworks, and build the machine learning pipeline from the ground up. As the platform grows, you will also build and lead a team of ML engineers.

While the high-level technical direction is defined — including petabyte-scale video processing, active learning pipelines, and edge deployment on NVIDIA Jetson devices — the implementation details will be driven by your expertise and technical judgement.

Responsibilities ML Architecture & Technical Direction

• Design and implement the end-to-end ML pipeline, from raw video ingestion to model deployment on UAV hardware
• Evaluate and select appropriate frameworks and infrastructure tools
• Build systems for experiment tracking, model versioning, and reproducible training
• Establish the training infrastructure and ML development workflow
• Make strategic build vs. integrate decisions across the ML stack

Data Pipeline & Curation

• Design video preprocessing pipelines including:
   
  • clip segmentation
  • frame extraction
  • scene detection
  • embedding generation
• Develop data curation workflows to extract high-quality training datasets from large-scale raw video
• Define the annotation ontology and labeling standards for detection, classification, segmentation, and multi-object tracking

Model Development

• Train and improve computer vision models for:
   
  • object detection
  • scene classification
  • object tracking
  • segmentation
• Implement distributed multi-GPU training for large-scale experiments
• Design and implement active learning pipelines including:
   
  • automated labeling
  • confidence-based routing
  • human review workflows
  • retraining triggers
• Define model evaluation metrics and promotion criteria

Edge Deployment

• Optimize models for real-time inference on NVIDIA Jetson hardware
• Implement model optimization techniques including:
  • ONNX conversion
  • TensorRT acceleration
  • INT8 quantization
• Design the model delivery pipeline from training registry to deployed UAV systems

Team Building

• Hire and mentor ML engineers as the team grows
• Establish engineering practices including:
  • code review
  • testing standards
  • documentation
• Own and communicate the ML technical roadmap

RequirementsMust Have

• 5+ years of experience in computer vision and deep learning, including production deployments
• Strong proficiency with PyTorch, including distributed training
• Experience building object detection and tracking pipelines (YOLO, RT-DETR, Detectron2, or similar)
• Experience optimizing models for edge or mobile deployment (TensorRT, ONNX, SNPE, or similar)
• Experience building ML infrastructure and training pipelines
• Strong Python skills and ability to write production-quality code
• Experience leading or mentoring engineers

Nice to Have

• Experience with UAV, drone, robotics, or autonomous systems
• Experience deploying models on NVIDIA Jetson
• Experience with high-performance video processing pipelines (DeepStream or custom)
• Experience in defense or MilTech environments
• Experience defining ML architecture from scratch in early-stage startups
• C++ experience for performance-critical components

What We Offer

• Founding engineering role with direct influence on company technology
• Ownership of the entire ML pipeline from raw data to deployed models
• Access to one of the largest privately owned UAV video datasets in the world
• Dedicated on-prem GPU infrastructure
• Open-source-first engineering approach
• Opportunity to build and lead a machine learning team
• Competitive salary
• Stock options

!! A solid GCP background is critical for both roles.

Required: 

We need Data Engineer or Solution Architect. The organisation brings together a multidisciplinary team including data scientists, actuaries, statisticians, business analysts, strategy consultants, engineers, technologists, programmers, and product developers — all focused on leveraging data to drive meaningful, transformational outcomes.

Project Overview:

As a fully diversified leader in data science and AI, the company operates across multiple sectors and continues to grow rapidly — and with growth comes opportunity. The team is passionate about bringing together smart, curious, and driven individuals who enjoy solving complex problems.

Responsibilities:

Develop product and solutions together with the project team

Requirements (Must-have):

- Cloud

- Google Cloud Platform (GCP)

- BigQuery

- Vertex AI

- Cloud Composer

- Cloud Functions

Programming

- Python

- SQL

- dbt

DevOps & Infrastructure

- Docker

- Kubernetes

- GitHub

- CI/CD pipelines

Additional:

- Experience with AI / ML

Hiring Process:

Intro call

Technical discussion (focused on real experience)

Offer

Start: ASAP

Project Overview:

Our client is building data- and AI-driven solutions in a cloud-first environment, with a strong focus on GCP, BigQuery, and large-scale data workflows. The current work is centered around exploring and defining new solution directions, especially in voice-related use cases, where architecture decisions must balance feasibility, scalability, and production readiness.

The environment is highly collaborative and cross-functional, bringing together technical leadership, data scientists, and engineering teams to shape complex solutions from early discovery through implementation.

Required: 

We are hiring a Solutions Architect to help define and shape solution architecture for new data- and AI-driven initiatives.

This is an architecture-focused role working on GCP-based systems, big data modeling, and agentic / LLM-oriented solution design, with a strong emphasis on turning ambiguous requirements into clear technical options.

You will work on early-stage solution design, feasibility analysis, production architecture planning, and proof-of-concept preparation. The role is especially relevant for candidates with experience in voice data, call-agent systems, or similar real-time / unstructured data environments.

What We’re Looking For:

• Strong experience with GCP and cloud-native architecture;
• Strong Python background;
• Deep understanding of big data, data modeling, and analytical storage systems;
• Experience designing scalable, production-oriented architectures;
• Ability to operate in ambiguous environments and translate ideas into solution options;
• Strong communication and documentation skills;
• Ability to explain trade-offs clearly and collaborate across technical streams.й

Responsibilities:

• Define architecture options for new data and AI solutions
• Evaluate technical feasibility of proposed voice-agentic systems
• Design production-grade solution approaches on GCP, especially around BigQuery
• Work with large, unstructured datasets and define storage / transformation strategies
• Support solution design involving LLMs and agentic workflows
• Prepare architecture documentation and technical recommendations
• Help shape proof-of-concept direction and technical scope
• Collaborate closely with technical leadership, data scientists, and engineering teams

Requirements (Must-have):

Tech Stack:

• Python
• GCP
• BigQuery
• SQL / data modeling
• Large-scale data systems
• LLM / agentic solution design
• Streaming systems (nice to have)
• Voice / call-agent environments (strong plus)

Nice to Have:

• Experience with LLM / agentic system design
• Experience with voice, speech, or call-agent platforms
• Experience with streaming architectures
• Experience working closely with data scientists on early-stage solution design

Location:

Remote —  EU, Ukraine

Long Term (9+ month)

Need for some overlap with Australia timezone

Hiring Process:

Intro call

Technical discussion (focused on real experience)

Offer

Start: ASAP

We are looking for an experienced Senior iOS Developer skilled in Swift with a strong background in building applications from scratch. We are building iOS cleaner application. The app will help users free up device storage by detecting and removing duplicate screenshots, unnecessary photos, spam images, and other redundant media files.

This role is project-based for up to 3 months and involves developing a new iOS application using a fully prepared design and project documentation. You will be responsible for evaluating the scope of work, estimating timelines, and delivering a complete product in time.

Responsibilities:

• Design and build advanced applications for the iOS platform using Swift from a scratch.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Unit-test code for robustness, including edge cases, usability, and reliability.
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
• Ensure the performance, quality, and responsiveness of applications.

Requirements:

• Proven experience as an iOS Developer, with at least 5 years of experience in Swift and launching iOS applications from scratch, including architecture design, implementation, testing, and App Store deployment.
• Experience with Vision framework for image analysis and processing.
• Experience with Core Data for local data storage and offline support.
• Experience with third-party libraries and APIs.
• Strong knowledge of iOS UI design principles, patterns, and best practices.
• Experience working with remote data via REST and JSON.
• Ability to work independently and as part of a team in a fast-paced environment.
• Familiarity with PhotoKit and Image I/O is a plus.

Preferred Qualifications:

• Experience with Agile development methodologies.
• Familiarity with cloud message APIs and push notifications.
• Published applications on the App Store.
• Contributions to open-source projects.

We offer:

• Remote work.
• Flexible schedule and ability to manage your working hours.
• Working in a team of skilled and experienced specialists.
• Opportunities for professional development.

What We’re Looking For

• Strong foundation in cybersecurity
• Hands-on experience with at least one major cloud platform (AWS preferred; Azure or GCP also valid). Comfort navigating services, permissions models, and APIs/SDK concepts.
• Ability to translate security and customer needs into high-value product work (prioritization, impact vs effort, clear definitions of “done”).
• Good communication skills: you can explain security decisions and tradeoffs to both technical and non-technical stakeholders.
• Solid engineering literacy (you can read and review code, reason about reliability and edge cases). Deep coding expertise is not required.

Bonus Points For

• Experience with CSPM/CNAPP tools, security research, or building detection/analytics pipelines.
• Familiarity with cloud telemetry/log sources and correlating security signals.
• Comfort with Infrastructure as Code concepts (e.g., Terraform) and cloud-native environments.

We are looking for a Camera BSP & Middleware Engineer to drive the design and development of a unified camera infrastructure across Linux and Android platforms. 

This role combines deep embedded Linux and Android expertise with camera subsystem integration. The engineer will be responsible for sensor bring-up, driver development, middleware integration, and image quality tuning, ensuring compliance with Android Camera HAL standards and optimized multimedia performance across platforms. 

Requirements:

• Strong experience with Linux kernel camera drivers and V4L2 (including sub-device drivers) 
• Proven experience integrating and maintaining Android Camera HAL 
• Hands-on experience with camera sensor bring-up and board-level integration 
• Experience working with Device Tree / DTBO overlays, including power sequencing, reset, and clock (MCLK) configuration 

• Experience tuning image quality pipelines, including: 

  - 3A algorithms (AE, AWB, AF) 

  - Lens Shading Correction (LSC) 

  - Temporal Noise Reduction (TNR) 

• Ability to debug complex camera pipelines across kernel and user space 
• Experience with Git/Gerrit and build systems (Yocto and AOSP) 
• Strong understanding of embedded Linux and Android system architecture 

Responsibilities 

• Own cross-platform (Linux and Android) camera architecture and board bring-up 
• Develop and maintain Linux camera drivers (V4L2 sub-devices) 
• Integrate and support Android Camera HAL components 
• Create and validate Device Tree / DTBO overlays for camera hardware configuration 
• Automate media graph validation, streaming tests, and long-running stress test suites 
• Tune image processing pipelines using vendor-provided IQ tools 
• Collaborate closely with hardware teams on CSI timing, PHY configuration, and sensor onboarding 
• Support performance optimization and long-term platform stability 

Domain: SaaS
Project: AI strategy product
Client: Germany
Location: Remote (attending events once a quarter across the EU)
Time Zone: CET
Contract: B2B
Budget: $6500 gross

About US

DevKit is more than just an IT company - we are a team of passionate professionals dedicated to creating cutting-edge solutions. Our employees work on exciting international startups, collaborating with highly skilled teams from around the world. With expertise in software development, design, and engineering, we help bring innovative ideas to life and drive success on a global scale!
Our mission is to connect exciting projects with top-tier professionals. We are committed to creating a dynamic space where innovation thrives, top talent excels, and global teams unite to develop cutting-edge solutions.
 

About PROJECT

The company is a trailblazing AI-powered SaaS platform, reshaping the landscape of procurement from a tactical function to a strategic business ally that orchestrates seamless value chains. The state-of-the-art solution empowers organizations to independently develop procurement strategies with a flexible framework adaptable to their specific needs and contexts.

Redefining traditional category management, the company’s all-encompassing solution takes it to new heights by harnessing the capabilities of AI, fostering extensive collaboration, and integrating data from diverse sources beyond conventional category taxonomy. At the product, they are driven by a purpose-centered ethos, dedicated to tackling ESG-related challenges, positioning procurement as a catalyst for positive change rather than merely a cost-cutting entity.

The multitude of prestigious awards and recognitions speaks to their leadership in the AI-driven procurement technology landscape, showcasing our unwavering commitment to innovation and excellence.

Main Tech Stack

AI/DS/ML related stack
 

Responsibilities
 

• AI/DS/ML initiatives organization-wide, overseeing the entire ML lifecycle from conception to execution.
• Drive continuous development of AI/ML functionalities for our SaaS product, prioritizing well-structured, secure, and scalable code, complemented by comprehensive documentation and rigorous testing protocols.
• Initiate the integration of pertinent research findings into our product, particularly in procurement, through experimentation and the creation of solutions like chatbots, forecasts, and decision support systems.
• Utilize your software engineering expertise and business acumen to foster the growth and maintenance of our ML services, guiding all stages of technology development.
• Establish and manage high-quality datasets, alongside developing data pipelines for procurement data processing.
• Collaborate closely with cross-functional teams of software engineers to enact transformative changes within procurement practices.
• Stay informed about the latest advancements in AI/ML technologies and industry best practices, actively contributing insights for continuous improvement.
• Cultivate a culture of learning, knowledge sharing, and team development within our Data Science team.

Requirements
 

• Have 5+ years of proven industry experience in applying Machine Learning and AI techniques.
• Demonstrate proficiency in Machine Learning principles and generative models, with an understanding of computational limitations and data privacy considerations.
• Showcase expertise in NLP, LLM (3+ years), including prompt engineering, training, fine-tuning, RAG, evaluation, transfer learning techniques, and anomaly detection.
• Possess knowledge of Data Analysis/Processing, Data Visualization, and Storage systems (e.g., Databases, Data Lakes, Data Warehouses).
• Advocate for best coding practices, thorough documentation, rigorous reviews, data integrity, security, and performance optimization, with expertise in the Python ecosystem and popular ML libraries/frameworks, including those tailored for LLM.
• Have experience in Infrastructure management (MLOps/LLMOps, AWS/GCP Clouds, SQL, REST APIs, GitHub), and overseeing end-to-end ML pipelines.
• Demonstrate proficient English communication skills, both verbal and written, with a focus on clarity, openness, and professionalism.

Would be a plus:
 

• Seize the opportunity to join the team and make meaningful contributions to our engineering excellence within an international team and context.
• Occasional business travel within Europe may be required, averaging once per quarter, alongside team-building company events.
• Join a pioneering AI-driven procurement technology startup, contributing to the creation of innovative solutions that significantly impact enterprise customers.

Work conditions

• A long-term role in a stable, fast-growing company
• Flexible working hours with a results-oriented approach
• Competitive salary and benefits package (vacation, sick leave, national holidays)
• Comfortable workspace, corporate events, and team-building
• Continuous learning, professional growth, and skill development

If you're looking for a place to grow, innovate, and make an impact, we'd love to have you on board!

About the Company

We are currently supporting DCSH, a fast growing technology company operating in the iGaming industry, in the search for an HR Director.

The company is developing its own poker room while simultaneously testing its product through white-label solutions. The team consists of 65 employees, with offices located in Valencia (Spain) and Batumi (Georgia).

This is a unique opportunity to build the HR function from the ground up. There is no existing HR department and no legacy processes to transform, allowing you to design the entire HR strategy, structure, and operational framework from scratch.

We are looking for a strategic yet hands-on HR leader who will act as a true business partner to the founders and build a scalable, high performance organization within an international technology environment.

The Role

During the first 6–12 months, the role will be approximately 80% operational and 20% strategic.

You will fully own the HR function, independently designing systems, implementing processes, and taking full accountability for outcomes.

There is no team in place initially, the function will be built entirely hands-on.

Key Responsibilities

Organizational Architecture & HR Processes (40%)

• Conduct a full audit of the current team structure and finalize the organizational design (eliminating duplication, identifying gaps);
• Develop and formalize job descriptions for all roles;
• Design and implement KPI and Performance Review systems from scratch;
• Select, implement, and administer HRIS solutions.
   

HR Operations & Compliance (30%)

• Structure HR documentation in compliance with EU legislation (Spain, Estonia, Georgia);
• Build and manage the full Employee Journey: onboarding, offboarding, regular 1-on-1s, leave management;
• Develop a transparent grading system and Compensation & Benefits framework.

Targeted Senior & Executive Recruitment (20%)

• Manage low volume but high impact hiring (~1 key role per month);
• Close critical leadership roles (CFO, Head of CRM, Head of Security);
• Conduct senior and executive level assessment processes.

Business Partnership (10%)

• Participate in strategic sessions with founders;
• Assess HR and organizational risks during potential M&A activities.

Requirements

• Proven experience building HR functions and processes from scratch;
• 7+ years of experience in HR, including 2–3 years in a Head / Lead role;
• Mandatory experience in iGaming, Fintech, or Gambling industries;
• Fluent Ukrainian (primary working language in the office), Russian (for part of the team), and English (Upper-Intermediate+ for documentation and written communication);
• Readiness to work independently without a team during the first year;
• Experience implementing KPI systems, grading frameworks, and HRIS;
• Strong understanding of P&L dynamics in iGaming, Unit Economics, and how HR impacts financial performance.

What We Offer

• Competitive salary;
• 30 calendar days of paid annual leave;
• Paid sick leave;
• Paid official public holidays;
• Corporate laptop provided;
• Office-based role in Torrent (Valencia), Spain;
• Corporate wellbeing program.

Skills / Focus:
 .NET (C#), cloud platforms (Azure/AWS), CI/CD, containerization, microservices, APIs, Python (optional), AI-assisted development
Responsibilities:
 • Understanding requirements and translating them into scalable platform and runtime architecture
 • Developing and maintaining management APIs and backend services (.NET where appropriate)
 • Designing and implementing cloud deployment patterns and runtime environments
 • Managing containerization, configuration, and operational readiness of services
 • Building and maintaining CI/CD pipelines and ensuring reliable delivery processes
 • Implementing Python-based components using AI coding assistance where applicable
 • Integrating with Aras platform APIs and knowledge model
 • Collaborating in agile teams and contributing to continuous improvement
 

Requirements:
 • 5+ years of experience in backend or fullstack development
 • Strong proficiency with .NET / C#
 • Experience with cloud environments (Azure, AWS or GCP)
 • Experience with CI/CD pipelines and DevOps practices
 • Hands-on experience with Docker and containerized environments
 • Understanding of microservices and distributed systems
 • Experience designing and building APIs
 • Familiarity with Python (as a plus)
 • Experience working in agile teams
 

Desirable:
 • Experience with Kubernetes and infrastructure as code (Terraform, Helm)
 • Experience integrating with external platforms or enterprise systems
 • Familiarity with AI-assisted development tools or workflows
 • Understanding of system observability and monitoring

What We Offer:
• Fully remote
• 21 paid vacation days + 3 paid sick leave days
• Working schedule: 9:00–18:00 or 10:00–19:00
• Cooperation format: Ukrainian FOP or European B2B contract

🔍 About the Role

We are looking for a hands-on Performance Marketing Specialist focused on Google traffic to drive scalable acquisition and optimize ROI across key markets. Fluency in Ukrainian or Russian is required.

What you will do:

• Launch and scale Google Ads campaigns (Search, Display, PMax, UAC)
• Manage budgets and optimize performance
• Work with analytics (GA4, GTM)
• Test creatives and landing pages
• Analyze funnel performance and improve conversion
• Collaborate with product & CRM teams

What we expect:

• 1+ years experience in Google Ads
• Strong analytical mindset
• Experience managing significant budgets
• Understanding of CPA / ROI / LTV metrics
• Experience in iGaming

What we offer:

• You will have the chance to influence the product and assemble a team that fits your vision.
• Absence of micromanagement, hierarchy; fast decision-making speed.
• Competitive salary and incentives for your contribution and result.
• Our main working schedule: 9:00-18:00 CET.
• Attending top conferences around the world.
• Perks such as paid sick leave and vacations, plus additional day off in honor of your birthday.

NuxGame is a dynamic IT company delivering top-tier software solutions for the iGaming industry. We empower operators of all sizes to expand into new markets, strengthen their existing brands, and achieve ambitious business goals.

We are looking for a Senior DevOps Engineer who is passionate about building resilient infrastructure and ensuring high availability for high-load systems. If you thrive in complex cloud-native environments and enjoy working with scalable architectures, this opportunity is for you.

 What will be your responsibilities:

• Design, build, and optimize high-load, highly available server-side platforms (Nginx, PHP-FPM, MySQL, Redis, message queues).
• Architect and maintain Kubernetes-based platforms and containerized workloads (Docker, Helm, GitOps).
• Design and operate secure network infrastructure:
  • Firewalls (iptables, UFW, security groups, NACLs)
  • Reverse proxies and L7/L4 load balancers
• Implement DDoS protection and WAF strategies (Cloudflare, rate-limiting, bot protection).
• Build and maintain observability stack:
  • Metrics (VictoriaMetrics, Prometheus)
  • APM (New Relic, OpenTelemetry)
  • Centralized logging and alerting
• Design, implement, and continuously improve CI/CD pipelines (Jenkins, GitHub Actions).
• Automate infrastructure and platform lifecycle using Infrastructure as Code and configuration management.
• Participate in architecture design, reliability engineering, and capacity planning.
• Ensure security, compliance, and audit readiness (PCI DSS, secrets management, access control).

What we expect from you:

• Strong hands-on Linux expertise (Debian, Ubuntu, systemd, networking, performance tuning).
• Deep experience with AWS:
  • Compute (EC2, ASG, EKS)
  • Networking (VPC, Load Balancers, peering)
  • Managed databases (RDS Aurora)
  • Messaging (SQS, Kafka)
• Strong database operations knowledge: MySQL HA, replication, backup strategies.
• Production experience with Kubernetes (cluster architecture, HA, upgrades, disaster recovery).
• Advanced CI/CD experience: Jenkins, GitHub Actions, GitOps practices.
• Strong Cloudflare expertise: DNS, CDN, WAF, DDoS protection.
• Infrastructure as Code: Terraform (mandatory), Ansible.
• Scripting and automation in Bash and Python.
• Solid understanding of networking and security fundamentals (TLS, IAM, VPN, firewalling, zero-trust).
• Experience working in regulated environments or with security standards (PCI DSS is a plus).

Tech Stack:

AWS, Kubernetes, Terraform, Helm, GitHub Actions, VictoriaMetrics, Grafana, New Relic, Aurora, Redis, Cloudflare, Python, Bash.

What we offer:

We believe that a happy team builds the best products. Here is how we support you:

Remote & Flexible – Work from anywhere. Our core hours are 09:00/10:00 to 17:00/18:00 (Kyiv time), Monday–Friday.

Financial Stability – Timely compensation payments.

Personal Equipment Policy – Equipment is provided to ensure comfortable and efficient work.

Knowledge Sharing – We regularly gather to discuss new trends, share insights, and grow together.

Community – Work in a team of like-minded professionals who support, inspire, and tackle complex challenges together.

Creative Freedom – We encourage initiative and provide space for professional expression and implementation of your ideas.

Time-off Policy: up to 29 days off per year, including up to 5 days for health-related absence (without medical confirmation);

Atmosphere – A friendly, results-oriented environment focused on mutual respect, free from unnecessary bureaucracy and pressure.
 

We believe in unlocking the inner potential of each team member within an open and democratic culture.

We look forward to welcoming you to our team! 

Description

About Project:

Comprised of the Company’s international business units and various direct-to-consumer streaming services, Media & Entertainment Distribution department aligns technology, media distribution and advertising sales into a single business segment to create and deliver personalized entertainment experiences to consumers around the world. 

GL team will be concentrated on building AdTech platform for our customer.

About Company:

Leading diversified international family entertainment and media enterprise with the following business segments: media networks, parks and resorts, studio entertainment, consumer products and interactive media. 

Requirements:

• Readiness to work till 12 AM Kyiv time, 11 PM Poland time
• 4+ years of developing and bolstering automated QA systems and associated test strategies;
• Experience working with business-critical customer-facing applications (user interfaces, APIs, and back-end services);
• Excellent communication skills with emphasis on writing detail-oriented documents and communications;
• Strong understanding of object-oriented programming concepts;
• Strong understanding of web UI and services automation testing;
• Strong experience with Python, BDD (behave);
• Knowledge in AWS, CI/CD;
• Experience with AQA reporting tools;
• Strong experience with web application testing tools (Selenium), API testing;
• Deal well with ambiguous/undefined problems. Ability to think abstractly. 
• A proactive approach to tasks.
   

Job responsibilities

• Responsible for designing and implementing build and test infrastructure, creating and enforcing. good engineering practices, and evaluating product quality for various external and/or internal products.
• Conduct research and create Proof of Concepts on new testing technologies/tools/concepts.
• Collecting TA metrics, statistics and reports.
• Design test strategies by analyzing and dissecting complex heavily integrated software systems.
• Develop and contribute to the automated testing efforts for the QA team.
• Design and build scalable, maintainable, and flexible automation test framework.
• Investigate the root cause of issues to assist with finding the most comprehensive and robust solutions.
• Collaborate closely with product, project, and development teams to identify and resolve technical, business, and process-related issues.

We are looking for a skilled Python Engineer (Senior) to join our team building intelligent, secure, and scalable solutions for the agriculture sector.

You’ll work on web app development, document intelligence, and cloud-native microservices, collaborating with experienced engineers and stakeholders to deliver an impactful product for agriculture and trading professionals.

Important!

This role involves some travel to the Netherlands to collaborate closely with the client, run in-person consulting sessions at the WeAreBrain office in Amsterdam, and occasionally visit the client’s office. Candidates must have the flexibility and ability to travel within Europe.

About the Project
Our client is a Netherlands-based company building a multi-tenant SaaS platform for traders and agricultural suppliers. AI-powered workflow automation, document intelligence, and product development. Our stack includes Python (FastAPI), OCR/LLM pipelines, NextJS, and cloud-native infrastructure (Kubernetes, Docker, GitHub Actions, OpenTelemetry). The solution is hosted in AWS. The project is a long-term partnership with a blended team from both the client and our company, working together as a single product team.

Tech Stack
— Python 3.12+, FastAPI, OpenAPI
— SQLAlchemy, PostgreSQL, Redis
— AI providers integrations (OpenAI, Gemini, etc.)
— Docker, Kubernetes, GitHub Actions
— OAuth2, OpenTelemetry, Twilio

Responsibilities
— Develop, test, and maintain Python microservices
— Implement document intelligence features (OCR, LLM integration)
— Collaborate with frontend, DevOps, and stakeholders to deliver seamless solutions
— Write clean, readable, and well-documented code using type hints and Pydantic models
— Participate in code reviews and contribute to continuous improvement
— Ensure system stability, security, and compliance
— Research and prototype new technologies (LLMs, OCR, cloud-native patterns)
— Support CI/CD, testing, and deployment automationQualifications
— 5+ years of professional Python experience, ideally with microservices
— Experience with FastAPI, Pydantic, SQL/NoSQL databases, and cloud infrastructure
— Familiarity with Docker, Kubernetes, and GitHub Actions
— Understanding of REST APIs, authentication (OAuth2, JWT), and security best practices
— Experience with frontend integration (React, Identity Providers)
— Good communication and collaboration skills; fluent English (B2+)
— Bachelor’s degree in Computer Science, Software Engineering, or related field
— Experience with testing frameworks (Pytest, etc.)
— Familiarity with document automation or ERP integration is a bonus

What we offer

• Flexible working conditions
• Competitive salary depending on your experience with a comprehensive benefits package, which includes a monthly €50 stipend to cover work-from-home expenses, and an allocation of 25 vacation days.
• After one year, WeAreBrain offers access to a Team Reward Program for all employees.
• Innovative Exploration: Seize the chance to pioneer your department, venturing into uncharted territories, and experimenting with fresh ideas that push boundaries.
• Entrepreneurial: Immerse yourself in a true entrepreneurial environment where every team member is an owner.
• Office Perks: We organise lunch in the office and have monthly gatherings for drinks and bites, fostering our team spirit.
• Remote Work Flexibility: Our team has the freedom to work remotely, allowing you to achieve a healthy work-life balance that suits your preferences.
• Professional Growth: We value your growth. Take advantage of diverse opportunities and resources designed to nurture your professional development.
• A creative and dynamic work environment.

Apply for the job

Do you want to join our team as our new Senior Python Engineer? Then we’d love to hear about you!

CrunchCode — міжнародна сервісна ІТ-компанія з досвідом близько 7 років у розробці вебсервісів і вебзастосунків. Ми працюємо у форматах staff augmentation (outstaff) та outsourcing і підключаємо спеціалістів до проєктів клієнтів у довгостроковій моделі співпраці.

Ми працюємо переважно з проєктами в доменах логістики (включно з last mile),e-commerce, fintech та банкінгу, а також enterprise-рішеннями.
Для нас важливо, щоб проєкт був “чистим” і зрозумілим з точки зору етики та цінності для користувачів.

Ми принципово не беремо проєкти, пов’язані з:
● gambling / гемблінгом,
● adult-контентом та порнографією,
● шахрайством або будь-якою розробкою, що спрямована на обман чи маніпуляції.

What We Offer:
● Fully remote work
● Long-term, stable project
● High level of autonomy and trust
● Minimal bureaucracy
● Direct impact on business-critical logistics systems
● Long-term engagement, not a short-term contract.

Required: 
The organisation brings together a multidisciplinary team including data scientists, actuaries, statisticians, business analysts, strategy consultants, engineers, technologists, programmers, and product developers — all focused on leveraging data to drive meaningful, transformational outcomes.

Project Overview
Our client is building data- and AI-driven solutions in a cloud-first environment, with a strong focus on GCP, BigQuery, and scalable data workflows. Their teams work across data science, engineering, and solution design to create systems that can support large-scale, real-world use cases, including voice-related and unstructured data scenarios.

Requirements (Must-have):
Tech Stack
● Python
● SQL
● GCP
● BigQuery
● Data pipelines
● ETL / ELT workflows
● Data modeling
● DBT (nice to have)
● Airflow / Cloud Composer (nice to have)

What We’re Looking For:
● Strong experience with Python for data engineering;
● Strong experience with GCP and cloud-based data workflows;
● Experience building and maintaining production data pipelines;
● Strong SQL and data modeling skills;
● Ability to work with large-scale or unstructured data;
● Experience collaborating with data scientists and cross-functional engineering teams;
● Ability to build practical, reliable solutions in an evolving environment.

Responsibilities:
● Build new data pipelines and adapt existing ETL / ELT workflows
● Move and organize data in cloud storage and analytical systems such as BigQuery
● Work closely with data scientists on tables, transformations, and methodology implementation
● Connect services and data sources required for the solution
● Optimize queries and support scalable data processing
● Work with large, unstructured datasets, including voice-related data
● Help operationalize evolving architecture decisions into production-ready data flows
● Collaborate with engineering and data teams to ensure reliable execution

Nice to Have:
● Experience with DBT
● Experience with Airflow or Cloud Composer
● Experience with large, unstructured, or voice-related datasets
● Lead-level coordination experience
● Experience supporting production data workflows in rapidly evolving projects

Hiring Process:
- Intro call
- Technical discussion (focused on real experience)
- Offer
Start: ASAP