Jobs

About 
The team is responsible for building and evolving high-load backend services, with a strong focus on performance, scalability, and system reliability. The platform is built using a microservices architecture, modern observability tools, and an event-driven approach.

As a Go Team Lead, you will be responsible for leading a team of engineers, driving technical decisions, and ensuring high-quality delivery of backend services. The role involves active participation in system architecture, code reviews, and technical planning, as well as mentoring engineers and improving development processes.

The team values ownership, accountability, and a proactive mindset. The Team Lead plays a key role in maintaining engineering standards, improving system performance, and ensuring the scalability and reliability of the platform.

Core responsibilities include leading the development of new features, optimizing existing services, coordinating technical initiatives within the team, integrating third-party solutions, and contributing to the evolution of the project’s architecture and technical stack.
 

Tech Stack

Golang, MongoDB, PostgreSQL, ClickHouse, Redis, NATS + JetStream, OpenTelemetry, GitLab CI/CD.

Responsibilities

• Leading and coordinating the daily work of a team of Go developers (Junior, Middle, Senior);
• Participating in the development and improvement of backend services, including building new features, fixing bugs, and enhancing system quality;
• Contributing to architectural and technical decisions, discussing service and system design with the engineering team;
• Ensuring code quality through code reviews and adherence to engineering standards (testing, security, maintainability);
• Taking part in the development of complex and business-critical features together with the team;
• Planning team tasks, participating in sprint planning, and distributing workload across developers;
• Monitoring development progress, identifying risks, and helping remove blockers;
• Managing technical debt and contributing to planning technical improvements of the platform;
• Collaborating closely with Product Managers, QA, DevOps, and other teams to ensure smooth and timely delivery;
• Participating in task decomposition and effort estimation;
• Conducting 1:1 meetings, mentoring engineers, and supporting their professional growth;
• Supporting team development, including involvement in hiring and onboarding new engineers;
• Maintaining transparent communication on progress, risks, and delivery status with management and stakeholders.

Requirements
5+ years of commercial experience in software development;

• 3+ years of hands-on experience with Golang;
• Proven experience in developing and maintaining distributed or microservice systems in production;
• Strong system design skills and understanding of scalable backend service architecture;
• Experience working with REST APIs and RPC (gRPC / Protobuf);
• Practical experience with databases: PostgreSQL, MongoDB, Redis;
• Experience working with messaging systems (Kafka or NATS);
• Understanding of the full Software Development Life Cycle (SDLC) and engineering best practices;
• Experience conducting code reviews, writing tests, and working with CI/CD;
• Experience working in Agile / Scrum teams;
• Experience in leadership or mentoring of developers;
• Ability to make technical decisions and guide the development team;
• Strong communication skills and experience collaborating with cross-functional teams (Product, QA, DevOps);
• Ability to explain complex technical concepts clearly to non-technical stakeholders.
  
  Benefits
• Work in a fast-growing international company with a strong multicultural team;
• Flexible work format: remote or from modern offices across Europe;
• Modern corporate equipment;
• Corporate health insurance;
• Learning and development opportunities: internal training, compensation for external education, conferences, and English courses;
• Referral program and a strong corporate culture with regular events and internal activities.

We are looking for a Senior Frontend Engineer to join our client's engineering team in a long-term engagement. This is a fully remote, full-time role for someone who takes real ownership of frontend systems end-to-end, collaborates naturally with backend engineers, and cares deeply about code quality, architecture, and user experience.

You will not be expected to work deeply on backend implementation — but you should be comfortable reading it, understanding it, and integrating cleanly with it.

This role is ideal for someone who enjoys ownership, product thinking, and building scalable, maintainable frontend systems used in real production environments.

Key Responsibilities:

• Architect, develop, and maintain complex frontend applications using React and TypeScript
• Build scalable, reusable UI components and architecture within a monorepo setup

• Own frontend features end-to-end — from requirements and UI logic through to API

  integration and production readiness

• Integrate with NestJS-based APIs, ensuring clean and well-typed contracts
• Drive technical decisions around frontend architecture and long-term maintainability
• Ensure high performance, accessibility, and responsiveness across all applications
• Contribute to shared tooling, libraries, and frontend standards within the monorepo
• Collaborate closely with product managers, designers, and backend engineers
• Improve frontend reliability through testing, code reviews, and engineering best practices

Requirements:

• 7+ years of commercial engineering experience — senior-level candidates only
• Expert-level knowledge of React and TypeScript
• Strong grasp of modern frontend architecture, state management (including xState), and performance optimisation
• Experience in monorepo environments (Nx, Turborepo, or similar)
• Solid understanding of API integration patterns — REST and/or GraphQL — and data flows
• Ability to work independently and deliver consistently in a distributed, remote team
• Excellent English communication skills — written and verbal
• AI-native engineering mindset — you actively use LLMs and AI tooling as part of your everyday development workflow
• Proven track record of long-term, high-impact contributions in previous roles

Nice to Have:

• Experience building AI-powered frontend features — streaming responses, AI chat interfaces, real-time feedback UX, or LLM-integrated workflows
• Familiarity with NestJS or backend service architecture
• Experience in fintech, KYC/KYB, or regulated industry products
• Open-source contribution history

What We Offer:

• Fully remote, flexible work culture with long-term stability
• High-impact product work using modern, state-of-the-art technologies
• Strong engineering standards and real technical ownership — no micromanagement
• Transparent, supportive team culture
• Competitive monthly compensation aligned with experience and contribution

How to Apply:

Send us a short intro about yourself and your relevant experience - and tell us your favourite ice cream flavour (ours is cherry🍒).

We’re looking for an experienced Full-Stack Developer who would help us reach the next level! If you are optimistic about managing full-stack development of web applications and websites and desire to have the opportunity to participate in a variety of projects with various back-end and front-end stacks - this opportunity is exactly what you are looking for.

Responsibilities:

• Participate in the entire application lifecycle, focusing on coding and debugging;
• Write clean code to develop functional web applications;
• Troubleshoot and debug applications;
• Perform UI tests to optimize performance;
• Manage technologies to improve legacy applications;
• Collaborate with Front-end developers to integrate user-facing elements with server-side logic;
• Gather and address technical and design requirements;
• Provide support to internal teams;
• Build reusable code and libraries for future use;
• Liaise with developers, designers, and system administrators to identify new features.

Qualifications

• At least 7 years working as a Full Stack Developer with a primary focus on the Back-End;
• 2-3 years of experience in the digital advertising ecosystem and at least 1 year of experience in Ad-tech;
• Experience with Client-side frameworks, preferably ReactJS;
• Experience with Server-side development in PHP(Laravel)/Python;
• Experience with databases PostgreSQL/MySQL, Redis;
• Experience with Git source control;
• Experience with production deployments, DevOps, and CI/CD;
• Passion for code craftsmanship;
• Attention to detail, organization, and multitasking;
• Excellent analytical and time management skills;
• Teamwork skills with a problem-solving attitude;
• Good command of English language.

Why do we enjoy working here?

• A young and driven team of professionals who are willing to grow and bring value.
• People-centric culture.
• L&D - support your need to replenish your knowledge and acquire new skills to do your job better via paid Professional training & e-learning courses.
• Flexible working schedule. We don’t use any time-tracker. We opt for performance.

Description

Project Description
The primary goal of this initiative is to design and deploy a platform-agnostic ML system with NVIDIA technologies.

An MLOps platform is a comprehensive set of tools and services designed to streamline the entire machine learning (ML) lifecycle—from data preparation and model development to deployment, monitoring, and governance. It blends DevOps principles with the unique needs of ML workflows, enabling teams to build, test, deploy, and maintain models more efficiently.

An open-source tool will be used to train the model, like YOLO11
The open-source MLOps can be prepared like Kubeflow with MLflow and Apache Airflow.
Nvidia TAO can also be used as a container for model Training along with Open-source MLOPS
The solution can work on Premises and Cloud due to a containerized approach with Kubernetes

Requirements

Qualifications

• 3+ years of hands-on experience with Azure Cloud
• 2+ years of hands-on experience with on-premises env
• Configuration of GitHub/branching strategy
• CI/CD (e.g. Azure Azure-based; Jenkins)
• Exp with security tools usage: SonarQube, DAST
• Strong understanding of prompt engineering techniques
• Excellent communication and presentation skills
• Passionate about learning and experimenting with new technologies

Job responsibilities

Description
As a DevOps, you will operate, update, and maintain the project’s Azure based on an on-premises infrastructure with a security-based domain.

We are looking for a Senior Data Engineer. This is not a standard ETL role. You will work on a high-load system processing 10,000+ executions per minute, building scalable pipelines where AI and LLM logic are embedded directly into production data flows.

The role combines data engineering, backend thinking, infrastructure ownership, and real production AI integration.

What you will do:

• Design and maintain scalable data pipelines in Python on Google Cloud Platform
• Build and optimize AI-driven scoring flows using LLMs for real-time identity enrichment
• Work with BigQuery, Apache Spark, and Apache Iceberg for heavy data processing
• Maintain high-load orchestration with custom Python nodes and complex workflows
• Own deployment and release processes (CI/CD)
• Optimize PostgreSQL performance under heavy load
• Investigate incidents and resolve root causes permanently

• Use AI engineering tools such as Claude in daily development

   

Requirements:

• 4+ years of experience in Data Engineering / Backend Engineering
• Strong Python skills
• Commercial experience with production LLM integration (OpenAI / Anthropic / Gemini)
• Strong knowledge of GCP (Cloud Functions, IAM, Networking)
• Experience with BigQuery, Spark, Iceberg
• Good understanding of Kubernetes
• Experience with workflow orchestration tools (n8n is a strong plus)
• Strong practical knowledge of PostgreSQL

• English level B2+

   

What is important for us:

• Ownership mindset
• Fast learning ability
• Strong problem-solving approach
• Active AI usage in engineering work
• Focus on practical results over unnecessary complexity

• Project Description:

  One of the world's largest providers of products and services to the energy industry has a need to develop and support enterprise information system in Oil & Gas domain.

  
  Product being developed is a cloud solution for interpretation of geological and geophysical data. Project is based on SCRUM methodology.

  
  Our project is stable, long-term and constantly adopts new technologies such as newest Java and Eclipse RCP versions, cloud and GPU computing, microservices architecture and other innovative frameworks.

  
  Work supposes close cooperation with Customer team located in Houston and following Agile principles.
  Our team is senior, supportive and friendly.

   

• Responsibilities:

  • Collaborate closely with geophysicists, data scientists, and software engineers to translate scientific domain requirements into robust on-prem or Cloud software
  solutions.
  • Design, develop, and maintain high-performance applications for geophysical and geological data analysis, interpretation and visualization (e.g., seismic, horizon,
  fault, velocity model, etc.)
  • Present architectural designs and technical proposals to the architecture review board.
  • Ability to break down development tasks and lay out clear implementation roadmaps.
  • Implement and optimize computation algorithms
  • Design and develop both thin and thick client applications that interact with cloud-based microservices.
  • Ensure high code quality through unit testing, code reviews, security hardening and continuous integration with other domain tools
  • Provide technical support and lead user troubleshooting sessions to resolve issues and ensure smooth operation of DSG application.
  • Mentor junior developers and actively contribute to architectural and implementation decisions.
  • Embrace Agile/Scrum methodologies, delivering and demonstrating working solutions at the end of each sprint
  • Stay current with emerging technologies and trends in geophysical computing and software development.

   

• Mandatory Skills Description:

  6+ years of hands-on Java development experience
  Strong Java Core knowledge
  Experience with desktop development frameworks: Swing, SWT, or Eclipse RCP
  Proven experience designing and building complex systems end-to-end, not just maintaining or extending existing ones
  Practical understanding of multithreaded programming: ability to implement concurrency in code directly, not only through third-party libraries
  Solid knowledge of design patterns and software architecture principles
  Ability to clearly articulate past projects, personal responsibilities, and concrete individual contributions
  Experience working in non-microservices, non-cloud-native development environments (desktop, embedded, or domain-specific platforms)
  Stable career trajectory, no fragmented job history with short tenures

Senior Rust Engineer

We invite you, a highly motivated and results-oriented Senior Rust Engineer, to join our team full-time and ensure the reliability and stability of the company's infrastructure.

Our team has unique expertise in research, analysis, and product development. By relying on technical insights and a data-driven approach, we create disruptive future-defining innovations of the fin-tech industry that remain our basis for success 

Responsibilities

• Design the full architecture of the core platform and its supporting systems
• Make key technical decisions on the technology stack, infrastructure, and overall system design with minimal oversight
• Build the initial production-ready implementation
• Establish engineering standards, development practices, and a high bar for code quality for team members
• Contribute to hiring efforts, including technical evaluations as the team expands
• Collaborate directly with the CEO and Head of Engineering

Requirements

• 3+ years of commercial Rust development experience
• 5+ years of prior C/C++ or systems development experience
• Experience with high-performance or financial systems (exchanges, brokers, trading platforms)
• Deep knowledge of async Rust: tokio/async-std, futures
• Strong systems programming background: memory management, concurrency, low-level optimization
• Solid understanding of network protocols: TCP/UDP, WebSocket, FIX
• Experience with PostgreSQL, Redis or equivalent data stores
• Familiarity with distributed systems design principles

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

We invite you, a highly motivated and results-oriented Senior C++ Engineer, to join our team full-time and ensure the reliability and stability of the company’s infrastructure.
 

Our team has unique expertise in research, analysis, and product development. By relying on technical insights and a data-driven approach, we create disruptive future-defining innovations of the fin-tech industry that remain our basis for success
 

Responsibilities

• Design the full architecture of the core platform and its supporting systems
• Make key technical decisions on C++ stack, infrastructure, and overall system design with minimal oversight
• Build the initial production-ready implementation
• Establish engineering standards, development practices, and a high bar for code quality for team members
• Contribute to hiring efforts, including technical evaluations as the team expands
• Collaborate directly with the CEO and Head of Engineering
   

Requirements

• 5+ years of commercial C++ (C++17/20) development experience
• Experience with high-performance or financial systems (exchanges, brokers, trading platforms
• Deep knowledge of low-level optimization, memory management, concurrency, and lock-free structures
• Solid understanding of network protocols: TCP/UDP, WebSocket, FIX
• Experience with PostgreSQL, Redis, or similar data stores
• Basic understanding of distributed systems design
• Knowledge with Rust or other systems languages is a plus
   

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

Our client is innovative manufacturer of medical devices in the United States which produces a devices and software applications.

At this project, you will have a great opportunity to be involved into the full development life cycle of medical software which is intended to help individuals by processing certain information taken from medical devices to identify health trends and to track daily activities. 

Job Description

• At least 2-5 years of IT industry experience (Software Quality Assurance Engineer/Analyst/process engineer or similar position from Quality Assurance or Process Management sphere) or as a quality/certification/process/metrology specialist in other domains is a must;
• Strong knowledge, deep understanding and practical application (implementation, support) of international quality management system standards and regulations (e.g. ISO 9001:2015, ISO 13485);
• Experience in auditing/assessment of Quality Management System based on international quality management system standards (e.g. ISO 9001:2015, ISO 13485, FDA Quality System Regulation (21 CFR Part 820));
• Experience in preparation / review of product-specific lifecycle documentation intended to confirm quality of the product;
• Good understanding of Risk Management principles and technics (Failure Mode and Effect Analysis (FMEA), FTA and other);
• Good understanding of medical device SQA principles and related regulations: ISO 13485, IEC 62304, ISO 14971, FDA QSR Part 820, EU MDR;
• Good understanding of software V&V methodologies and software development life cycle;
• Good understanding of software testing principles;
• Ability to work with big amounts of information, produce and organize content in a logical flow;
• Strong documentation management skills, ability to review, analyze and interpret complex and complicated documents;
• Good analytical skills;
• Attention to details and being a kind of a perfectionist;
• Ability to cope with quite routine work;
• Team player;

English:

Upper Intermediate or higher; ability to communicate with native speakers is a must;

Would be a plus:

Deep knowledge of medical-specific standards / government regulations;

Experience in creating and verifying of IT project or QMS technical documentation (software requirements / design specifications, project plans and reports, work procedures);

Experience to work effectively cross-functionally with developer/test audience;

Technical background;

Education: bachelor's degree or higher in Engineering / metrology / quality / certification

Job Responsibilities

Leading review and approve of project documentation (such as development plans and reports, verification test plans and reports etc.), providing feedback and support team in order to ensure timely preparation and readiness of project deliverables;

Assessing project activities and deliverables against established procedures, standards and regulations (QMS for medical device software development)

Advising R&D team regarding implementation or adjustment of established processes

Work closely with engineering, product, and support teams to ensure the quality and accuracy of project deliverables

Communicating with a customer on quality assurance, process management, documentation preparation topics

We are looking for a Senior Data Engineer who can design, implement, and evolve scalable data systems in AWS.

Core Responsibilities
 

• Design and implement batch and streaming data pipelines using Apache Spark.
• Build and evolve a scalable AWS-based data lake architecture.
• Develop and maintain real-time data processing systems (event-driven pipelines).
• Own performance tuning and cost optimization of Spark workloads.
• Define best practices for data modeling, partitioning, and schema evolution.
• Implement monitoring, observability, and data quality controls.
• Contribute to infrastructure automation and CI/CD for data workflows.
• Participate in architectural decisions and mentor other engineers.

Required Qualifications
 

• 5+ years of experience in Data Engineering.
• Strong hands-on experience with Apache Spark (including Structured Streaming).
• Experience building both batch and streaming pipelines in production environments.
• Proven experience designing AWS-based data lake architectures: S3, EMR, Glue, Athena.
• Experience with event streaming platforms such as Apache Kafka or Amazon Kinesis.
• Experience implementing lakehouse formats such as Delta Lake.
• Strong understanding of partitioning strategies and schema evolution.
• Experience using SparkUI and AWS CloudWatch for profiling and optimization.
• Strong understanding of Spark performance tuning (shuffle, skew, memory, partitioning).
• Proven track record of cost optimization in AWS environments.
• Experience with Docker and CI/CD pipelines.
• Experience with Infrastructure as Code: Terraform, AWS CDK.
• Familiarity with monitoring and observability practices.
• Experience in the Financial domain.
• Experience running Spark workloads on Kubernetes.
• Experience implementing data quality frameworks or metadata/lineage systems.

The company shapes the future of autonomous AI agents for developers. Work with AI engineers to build tools that enhance coding workflows, automate tasks, and boost productivity.

Why join us?

Be a part of the next AI-powered development tools redefining software engineering. Collaborate with top-tier engineers and AI specialists. Solve complex challenges in a fast-paced, growing company. Enjoy a fun work environment and exciting opportunities as we rapidly expand. Gain exposure to cutting-edge tech while we expand weekly.

• Be a part of the next AI-powered development tools redefining software engineering.
• Collaborate with top-tier engineers and AI specialists.
• Solve complex challenges in a fast-paced, growing company.
• Enjoy a fun work environment and exciting opportunities as we rapidly expand.
• Gain exposure to cutting-edge tech while we expand weekly.

Responsibilities:

You’ll play a key role in designing and developing software, balancing backend and frontend development. Responsibilities include architecting scalable backend services, optimizing cloud-based solutions, and building interactive UI components and IDE plugins. Solve challenges like parsing large codebases, integrating AI assistants, and optimizing performance.

Requirements:

• 8+ years of full-stack engineering experience, with Strong backend and Strong frontend skills.
• Tech lead with at least 1 year of experience. 
• Experience with Redis and PostgreSQL
• Deep expertise in React, TypeScript, and modern Frontend and Backend architectures.
• Deep Experience with NodeJS
• Experience with AWS 
• Experience with AI-powered dev tools in day-to-day workflow.
• Experience working with CI/CD pipelines, automated testing, and modern development workflows.
• Experience with Infrastructure as Code (IAC) tools such as Terraform or Pulumi.
• Experience  in building interactive UI components and IDE plugins
• B2+ English Level 

Hey! 👋

We’re looking for a skilled Business Analyst to join our dynamic team on an exciting Gambling project!

We are a young and ambitious outstaffing company that builds strong, dedicated teams for long-term collaboration with international clients. We value talent, responsibility, and a growth mindset.
 

🟢 Full Remote
🕘 Working hours: 9:00–18:00
 

What you'll be doing:

• Manage Product Backlog: Prioritize and organize tasks to align with key business objectives.
• Effective Communication: Act as a bridge between development teams and stakeholders, ensuring clarity in decisions and strategies.
• Handle Change Requests: Collect, prioritize, and add operational changes to the product backlog for future sprints.
• Define Acceptance Criteria: Set clear goals for features, validate them with stakeholders, and ensure they are met during QA.
• Conduct Gap Analysis: Identify areas for improvement by comparing current and target business states.
• Support Change Management: Assist in implementing change plans, provide training, and ensure smooth process transitions.
• Gather Requirements: Ensure all functional and non-functional requirements align with the Product Manager's expectations.
• Verify Requirements: Confirm that requirements meet stakeholder needs and are fit for purpose.
   

What we’re looking for:

• 4+ years of experience as a BA or Product Manager in web development
• Solid understanding of product development architecture, Scrum, and Agile methodologies
• Knowledge of UX principles and product backlog management
• Bonus: Coding and design skills are a plus!
• English level: B2
   

What we offer:

✅ Fully remote work
🏝 18 vacation days per year
🎁 Birthday gifts
📚 Opportunities for learning and growth through challenging tasks
 

🚀 Ready to join us? Apply now!

We are looking for a Marketing / Commercial Data Scientist to build the intelligence layer of our Session Analyzer product — including scoring systems, segmentation, recommendation models, and causal measurement frameworks for pharmaceutical marketing teams.

This role sits at the intersection of behavioral data, machine learning, and marketing analytics. You will work end-to-end: from raw event data → feature engineering → modeling → production pipelines → business insights.
 

You’ll collaborate closely with Product and Tech Leads to turn complex behavioral signals into actionable commercial intelligence.

🛠 Requirements

• 5+ years in Data Science / Analytics
• Experience building production ML systems
• Strong ownership of end-to-end data science workflows
   

Technical Skills

• Python, SQL, PostgreSQL
• GCP / BigQuery /ClickHouse
• Data pipelines & feature engineering
• Experience with LLM-based agents / AI workflows
• Event-level / session analytics
• Aggregation modeling
• Propensity / engagement modeling
• Segmentation
• Recommendation systems
• Model evaluation & monitoring
• Experience in AdTech / MarTech / Marketing Analytics
• Marketing attribution & measurement
• Behavioral / clickstream / pixel data
   

🧠 What You’ll Work On

🔹 Behavioral & Scoring Models

• Build propensity and engagement models (e.g., prescribing likelihood, rep response, content affinity)
• Develop switch / churn-style models and brand adoption predictions
• Design segmentation frameworks based on behavioral and profile data
   

🔹 Recommendation & Personalization

• Build recommendation systems using session and event-level data
• Model multi-channel engagement and content affinity
   

🔹 Causal Inference & Attribution

• Design and implement marketing attribution models
• Apply causal inference techniques (uplift modeling, incrementality testing, treatment/control analysis)
• Connect marketing exposure → downstream outcomes
   

🔹 Data & Feature Engineering

• Build feature pipelines from event/session data (clicks, scroll depth, dwell time, downloads, video plays)
• Create aggregated feature tables and scoring datasets
• Work with high-volume data systems (e.g., ClickHouse, BigQuery)
   

🔹 Production & Data Quality

• Deploy and maintain production ML pipelines
• Implement data validation, monitoring, anomaly detection, and drift tracking
   

🔹 AI & Insight Automation

• Build LLM-powered workflows for:
  • Automated insight generation
  • Data diagnostics
  • Structured analytical outputs (e.g., JSON)
     

🎯 What Success Looks Like

• You build reliable scoring systems used in production
• Your models drive measurable marketing impact
• You translate behavioral data into clear, actionable insights
• You help evolve the system toward real-time intelligence & automation
   

🧪 Interview Process

• Screening Interview
• Technical Interview
• Bar Raiser

Required skills:

• 5+ years of experience in .NET/ASP.NET (Core) 6+;
•  EF (Entity Framework) Core, MediatR, SignalR;
• MS SQL Server (code-first approach), T-SQL syntax;
• Domain-Driven Design (DDD), Event-Driven Design (EDD), CQRS.

Will be a plus:

Azure Portal, Azure Service Bus, GitLab CI/CD.

Responsibilities:

•  implementation of integrations with banks based on pre-prepared research documentation;
• targeted logic updates;
• implementation of new features;

Working conditions:

• Work schedule 5/2 from 10:00 to 19:00;

• Remote work;

• We provide all the necessary tools for your successful and comfortable work;

• Learning English at the expense of the company;

• Ability to switch between projects and try yourself in different roles.

We're hiring a DevOps Engineer who thinks in templates, not tickets. You'll design fully automated, repeatable infrastructure — from bare metal to production - using IaC, VM templating, and AI-assisted workflows. If you'd rather teach a machine to do the work than do it twice, this is your role.

Client requirements:

Overview

We are seeking a DevOps Engineer with strong platform engineering capabilities and a forward-looking approach to AI-driven development practices. The role focuses on delivering rapid, repeatable, and fully automated infrastructure and deployment environments.

AI is rapidly transforming DevOps. Candidates must be open to, and ideally experienced in, leveraging AI tools (e.g., Codex) to automate tasks such as security remediation, dependency management, and code generation. We are specifically looking for engineers who embrace AI-assisted workflows rather than relying solely on traditional manual scripting approaches.

Core Responsibilities

• Design and implement rapid, repeatable deployment environments
• Build and manage full lifecycle infrastructure automation, including provisioning, upgrading, testing, and teardown
• Enable deterministic, time-bound deployments through infrastructure abstraction
• Develop and maintain Infrastructure as Code (IaC) for scalable environments
• Support parallel environment provisioning for testing and delivery workflows
• Ensure secure handling of credentials and secrets across environments
• Contribute to platform engineering from bare infrastructure upwards, not limited to managed services

Deployment & Platform Approach

The role requires practical implementation of infrastructure abstraction to enable efficient deployment workflows.

Candidates should understand and implement approaches such as:

• Transitioning from manual workflows:
  • OS cleanup → configure → install → test → teardown → repeat
• To automated, template-driven workflows:
  • Template → clone VMs → bootstrap cluster → test → destroy

This approach enables:

• Provisioning in minutes rather than hours or days
• Deterministic builds using golden images
• Parallel environment execution
• Near-instant teardown
• Clean integration with Infrastructure as Code

A strong understanding of trade-offs between bare-metal and virtualised deployments is required, including performance, reproducibility, and lifecycle management considerations.

Required Technical Skills

Infrastructure & Virtualisation

• Hypervisor platforms: Proxmox, Nutanix AHV, VMware
• VM templating, cloning, and lifecycle automation
• Design of infrastructure abstraction layers for repeatable deployments

Infrastructure as Code & Automation

• Terraform or OpenTofu
• Cluster API (or equivalent) for full cluster lifecycle management
• Packer for image-based infrastructure

Configuration & Version Control

• Ansible for configuration management
• Git for version control and workflow management

Networking

• Infrastructure networking including:
  • VLANs
  • L2/L3 segmentation
  • DNS automation

Security & Secrets Management

• Vault (or equivalent)
• Secure credential and secret handling across environments

Systems Engineering

• Strong Linux systems engineering capability, including:
  • Drivers
  • cgroups
  • GPU passthrough
  • Performance tuning

AI & DevOps Capability

• Willingness and readiness to adopt AI-assisted DevOps practices
• Preferably hands-on experience using AI tools (e.g., Codex) for:
  • Automated code generation
  • Security issue remediation
  • Dependency management
• Open mindset toward evolving DevOps practices driven by AI innovation

Experience Requirements

• Experience building platforms from bare infrastructure upwards
• Proven ability to design and implement repeatable, automated deployment environments
• Strong understanding of real-world deployment constraints and optimisation strategies

Key Competencies

• Automation-first mindset
• Strong problem-solving and systems thinking
• Focus on reproducibility and reliability
• Ability to balance performance, scalability, and operational efficiency
• Adaptability to rapidly evolving tooling, particularly in AI-driven DevOps