Jobs

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the role:
We are looking for a Full-Stack AI Platform Engineer to join our team and help build, maintain, and scale AI-powered interactive products (A platform-centric role with a heavy focus on operations and DevOps.)
This is a hands-on role for an engineer who owns deployment, infrastructure, real-time systems, and AI-service integration end to end. You will work on production systems that combine web applications, real-time communication, Kubernetes-based backend services, and GPU-hosted AI pipelines.
The core of this role is production reliability and deployment ownership — keeping live systems stable, responding to incidents, and integrating AI models into scalable real-time infrastructure. Frontend work exists but is secondary: the team has a designer and uses AI-assisted tooling for UI iteration.

Responsibilities:
- Own deployment, environment management, and release workflows across Kubernetes-based, Railway-hosted, and other cloud infrastructure.
- Respond to production incidents, perform rollbacks, and restore service stability, including outside business hours.
- Deploy and operate AI inference services on GPU platforms such as Modal or RunPod and integrate them into real-time product flows.
- Build and maintain real-time communication and async processing flows, including LiveKit-based session infrastructure.
- Work with TypeScript / JavaScript and Python application code in production environments.
- Support database-backed product features, schema evolution, and migration workflows.
- Improve observability, logging, monitoring, and incident debugging workflows.
- Contribute to frontend and backend product functionality as needed, using AI-assisted tooling where appropriate.
- Maintain clear and up-to-date documentation for every product, service, and integration, including architecture diagrams, API contracts, deployment procedures, and environment configuration.
- Ensure every new feature is discussed, scoped, and agreed upon before implementation begins. No undocumented or uncoordinated changes to production systems.
- Collaborate with engineering and product stakeholders to clarify requirements, identify risks, and ship practical solutions.

Required skills:
- Strong hands-on experience with TypeScript (Node.js) and Python for production backend development.
- Solid experience with Kubernetes, Helm, and container-based deployment workflows.
- Experience with real-time systems: WebSocket-based communication, session lifecycle management, and event-driven flows.
- Experience deploying and operating AI inference services on GPU platforms such as Modal, RunPod, Replicate, or similar.
- Experience integrating LLM-based services, voice AI APIs, or media-processing pipelines into production systems.
- Experience debugging distributed or multi-service systems, including reading logs across multiple services and environments.
- Comfort with production ownership: incident response, rollbacks, and on-call responsibility.
- Solid understanding of backend APIs, service integration, and system design.
- Experience with PostgreSQL and ORM-backed schema management and migrations.
- Sufficient frontend experience to ship and deploy UI changes with AI-assisted tooling.
- Ability to work independently and bring structure to ambiguous technical situations.
- Strong written and verbal English communication skills.
- Experience using AI-assisted coding tools (e.g., Cursor, GitHub Copilot, Gemini) for faster development and iteration

Nice to have:
- Hands-on experience with real-time audio/video systems such as LiveKit or similar platforms.
- Experience with avatar, video rendering, or real-time media processing pipelines.
- Experience with frameworks and tooling such as TanStack Start, Nitro, or Vite.
- Familiarity with vector databases or embedding-based retrieval (pgvector or similar).
- Familiarity with Python ML stacks such as PyTorch or CUDA-based GPU inference.
- Experience with voice AI pipelines involving services such as ElevenLabs or Deepgram.
- Experience with CI/CD pipelines such as Jenkins, GitHub Actions, or similar.
- Experience with Next.js and Nx monorepo environments.
- Experience with GraphQL / Apollo or similar API integration patterns.

What we value:
- Strong ownership and reliability, especially in production.
- Pragmatic engineering judgment: shipping something stable beats over-engineering.
- Comfort with production responsibility and debugging under pressure.
- Ability to move across backend, infrastructure, and frontend without losing clarity.
- Clear communication, honest estimation, and practical execution.
- Documentation discipline: if it is not written down, it does not exist.

What we offer:
- Real impact: your content will directly attract new clients.
- Mentorship and growth.
- Freedom to experiment and test new formats.
- Flexible schedule and a remote-first culture.

Project Description:

Our client is a leading global Financial market data provider who runs a change program aiming to migrate a set of legacy data connectors to a new strategic platform. The main driver is to deliver high-quality software that connects Financial Markets across the globe in a real-time, high frequency, and low-latency data management chain. The projects are technically challenging in an environment that is very engaging. Projects will utilize a multitude of different languages and skillsets with a focus on C++ and scripting languages.

We are looking for a C++ software engineer/developer with experience in implementation backend systems and services running under Linux, Cloud, ideally, with capabilities to deliver projects independently and coordinate work with BA, QA, Operational, and cross-functional application teams.

Responsibilities:

• Develop high-quality software, design, and functional documentation
• Provide estimates for specific software feature implementation
• Identify, prioritize, and execute tasks in the software development life cycle
• Build unit tests for your code
• Automate tasks through appropriate tools and scripting
• Perform validation and verification testing
• Collaborate with internal teams and vendors to fix and improve products
• Ensure software is up-to-date with the latest technologies and standards

Mandatory Skills Description:

• 3+ years of full life-cycle software development experience
• 3+ years of object-oriented development, in particular, C++
• Experience developing under Linux
• Ability to collaborate in a team-focused environment
• Excellent analytical skills and a real passion for solving problems
• English at the level of Upper-Intermediate (spoken)
• Experience with Docker, AWS

Nice-to-Have Skills Description:

• Ability to suggest/research new technologies and quickly adapt to change
• Experience working with Market Data and Trading

Languages:

English: B2 Upper Intermediate

Position: Mid-level Frontend Developer

Salary: Competitive, based on experience
Work: Remote

Summary

We are seeking a skilled frontend developer with 4-5 years of experience in Next.js and React to join our innovative biomedical startup. The ideal candidate will have a strong background in building responsive, user-friendly web applications and a passion for creating cutting-edge user interfaces for healthcare software. 

Company Overview

QOVES is a biomedical startup focused on improving patient experiences in cosmetic medical clinics through software. We develop AI-powered applications that predict post-surgery appearances and assist in diagnosing the necessity of cosmetic procedures. Our goal is to transform cosmetic surgery consultations into a well-defined, clinical process of diagnosis and visualization through our software integrations with clinics.

Your Role

• Developing and maintaining our web applications using Next.js and React

• Collaborating with our AI and backend teams to integrate complex functionalities into user-friendly interfaces

• Implementing responsive designs that work across various devices and screen sizes

• Optimizing application performance for maximum speed and scalability • Writing clean, maintainable, and efficient code

• Participating in code reviews and contributing to our frontend architecture decisions

Required Qualifications

• 3-5 years of professional experience in frontend development

• Strong proficiency in Next.js and React

• Excellent knowledge of JavaScript, HTML5, and CSS3

• Experience with state management libraries (e.g., Redux, MobX, or Recoil)

• Familiarity with RESTful APIs and GraphQL

• Version control with Git

• Understanding of cross-browser compatibility issues and ways to address them

• Bachelor's degree in Computer Science or related field (or equivalent work experience)

Preferred Qualifications

• Experience working in a startup environment

• Knowledge of TypeScript

• Familiarity with UI/UX design principles

• Experience with testing frameworks like Jest and React Testing Library 

• Understanding of server-side rendering and its benefits

• Experience with CI/CD pipelines

Why Work at Qoves

• Opportunity to solve real healthcare problems with cutting-edge technology

• Well-funded startup with a strong market presence

• Work with advanced AI technology in a healthcare context

• Collaborate with a talented team in a fast-paced environment

• Competitive salary with equity options

• Performance and quarterly bonuses

• Flexible work arrangements (hybrid or remote)

• Professional development opportunities

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.

Responsibilities:

We are looking for a Software Engineer to contribute to the development of a global optimization capability for petroleum surface networks within the NEXUS reservoir simulator.
This role is product-focused and centers on building, integrating, and hardening a Bayesian Optimization (BO)–based engine that complements the existing gradient-based GRG optimizer. The feature enables reservoir and production engineers to identify more robust and globally optimal well control strategies—such as gas-lift allocation and choke settings—when dealing with highly non-linear and multimodal network behavior.
You will work as part of a product engineering team, collaborating closely with domain experts, QA, and platform engineers to deliver maintainable, performant, and user-ready functionality into a production-grade simulator.
What You’ll Work On:
Implement and integrate Bayesian Optimization workflows within the existing NEXUS surface network optimization framework
Develop and maintain Gaussian Process–based surrogate models used during optimization runs
Integrate acquisition functions that support reliable decision-making across challenging objective landscapes
Implement initial sampling strategies to ensure stable and repeatable optimization outcomes
Contribute to performance tuning, memory efficiency, and parallel execution in large simulation workloads
Improve code robustness, testability, and maintainability in a long-lived product codebase

Mandatory Skills Description:

Programming & Implementation:
Fortran 90/95:
Experience working with modules, allocatable arrays, and structured Fortran code
Ability to modify and extend existing numerical code responsibly

Numerical Computing:
Numerical linear algebra fundamentals
Practical use of Cholesky decomposition and triangular solves
Experience using LAPACK routines
Awareness of numerical stability and basic conditioning issues

Optimization & Modeling:
Gaussian Process regression (practical level):
Understanding of GP concepts (mean, covariance, kernels)
Ability to implement or adapt GP prediction code with guidance
Bayesian Optimization concepts:
Familiarity with acquisition functions such as Expected Improvement (EI) and Upper Confidence Bound (UCB)
Understanding of exploration vs. exploitation from a user-outcome perspective

Sampling & Experiment Design:
Latin Hypercube Sampling (LHS)
Experience implementing or using space-filling designs for initial parameter exploration

Product & Engineering Expectations:
Focus on reliability, usability, and repeatability rather than experimental novelty
Write clear, maintainable code aligned with existing platform standards
Ensure features behave predictably across a wide range of customer models
Collaborate with QA and support teams to diagnose and resolve field issues
Be mindful of performance, memory usage, and MPI execution constraints

Nice-to-Have Skills Description:

Exposure to reservoir simulation or production optimization domains
Experience working on large, long-lived scientific software products
Familiarity with user-facing configuration workflows or optimizer settings

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the role:
We are looking for a Full-Stack AI Platform Engineer to join our team and help build, maintain, and scale AI-powered interactive products (A platform-centric role with a heavy focus on operations and DevOps.)
This is a hands-on role for an engineer who owns deployment, infrastructure, real-time systems, and AI-service integration end to end. You will work on production systems that combine web applications, real-time communication, Kubernetes-based backend services, and GPU-hosted AI pipelines.
The core of this role is production reliability and deployment ownership — keeping live systems stable, responding to incidents, and integrating AI models into scalable real-time infrastructure. Frontend work exists but is secondary: the team has a designer and uses AI-assisted tooling for UI iteration.

Responsibilities:
- Own deployment, environment management, and release workflows across Kubernetes-based, Railway-hosted, and other cloud infrastructure.
- Respond to production incidents, perform rollbacks, and restore service stability, including outside business hours.
- Deploy and operate AI inference services on GPU platforms such as Modal or RunPod and integrate them into real-time product flows.
- Build and maintain real-time communication and async processing flows, including LiveKit-based session infrastructure.
- Work with TypeScript / JavaScript and Python application code in production environments.
- Support database-backed product features, schema evolution, and migration workflows.
- Improve observability, logging, monitoring, and incident debugging workflows.
- Contribute to frontend and backend product functionality as needed, using AI-assisted tooling where appropriate.
- Maintain clear and up-to-date documentation for every product, service, and integration, including architecture diagrams, API contracts, deployment procedures, and environment configuration.
- Ensure every new feature is discussed, scoped, and agreed upon before implementation begins. No undocumented or uncoordinated changes to production systems.
- Collaborate with engineering and product stakeholders to clarify requirements, identify risks, and ship practical solutions.

Required skills:
- Strong hands-on experience with TypeScript (Node.js) and Python for production backend development.
- Solid experience with Kubernetes, Helm, and container-based deployment workflows.
- Experience with real-time systems: WebSocket-based communication, session lifecycle management, and event-driven flows.
- Experience deploying and operating AI inference services on GPU platforms such as Modal, RunPod, Replicate, or similar.
- Experience integrating LLM-based services, voice AI APIs, or media-processing pipelines into production systems.
- Experience debugging distributed or multi-service systems, including reading logs across multiple services and environments.
- Comfort with production ownership: incident response, rollbacks, and on-call responsibility.
- Solid understanding of backend APIs, service integration, and system design.
- Experience with PostgreSQL and ORM-backed schema management and migrations.
- Sufficient frontend experience to ship and deploy UI changes with AI-assisted tooling.
- Ability to work independently and bring structure to ambiguous technical situations.
- Strong written and verbal English communication skills.
- Experience using AI-assisted coding tools (e.g., Cursor, GitHub Copilot, Gemini) for faster development and iteration

Nice to have:
- Hands-on experience with real-time audio/video systems such as LiveKit or similar platforms.
- Experience with avatar, video rendering, or real-time media processing pipelines.
- Experience with frameworks and tooling such as TanStack Start, Nitro, or Vite.
- Familiarity with vector databases or embedding-based retrieval (pgvector or similar).
- Familiarity with Python ML stacks such as PyTorch or CUDA-based GPU inference.
- Experience with voice AI pipelines involving services such as ElevenLabs or Deepgram.
- Experience with CI/CD pipelines such as Jenkins, GitHub Actions, or similar.
- Experience with Next.js and Nx monorepo environments.
- Experience with GraphQL / Apollo or similar API integration patterns.

What we value:
- Strong ownership and reliability, especially in production.
- Pragmatic engineering judgment: shipping something stable beats over-engineering.
- Comfort with production responsibility and debugging under pressure.
- Ability to move across backend, infrastructure, and frontend without losing clarity.
- Clear communication, honest estimation, and practical execution.
- Documentation discipline: if it is not written down, it does not exist.

What we offer:
- Real impact: your content will directly attract new clients.
- Mentorship and growth.
- Freedom to experiment and test new formats.
- Flexible schedule and a remote-first culture.

We are looking for HR Generalist to join our team. 

Key Responsibilities

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

Requirements

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

What We Offer

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

About the Role

We’re looking for a Project Manager to lead delivery of AI voice assistant solutions for legal clients (law firms, legal services, intake automation).

This is not a coordination-only role. You’ll own:

• client communication
• scope definition
• delivery timelines
• and making sure the product actually works in production

You’ll work closely with engineers building:

• AI voice agents (LLMs + speech-to-text + TTS)
• automation workflows
• integrations (CRM, telephony, APIs)
  
  Responsibilities
• Lead end-to-end delivery of AI voice assistant projects
• Run discovery calls with legal clients (understand workflows, intake processes, compliance needs)
• Translate business needs into clear technical tasks
• Manage backlog, priorities, and sprint planning
• Coordinate developers (AI, backend, frontend)
• Ensure quality of conversations (voice flows, prompts, edge cases)

Project Description:

Our team is working for one of the world's largest providers of products and services for the ever-evolving needs of the energy industry. Oil and gas domain, well logging.
We are working with Azure cloud, GIT, Kubernetes, using C#, C++ last standards (C++ 17, potentially 20). Using SCRUM framework.

Responsibilities:

• Review and analyze tasks in Product Backlog Items provided by Product owner
• Participation in grooming sessions and proactive task requirements and acceptance criteria clarification
• Work as part of a team using Azure environment
• Work with the team on development and resolving issues
• Implement software changes from Product Backlog Items and technical requirements
• Work with the QA team to determine if the application fit Product Backlog Items and technical requirements
• Identify and fix bugs, find solutions to the problems
• Maintain code quality, organization, and automatization
• Maintain the developed software efficiently through a solid knowledge of software lifecycle

Mandatory Skills Description:

• 4+years of experience and strong knowledge in C/C++
• 3+ years’ experience and strong .NET/C# knowledge
• Environment and tools: Docker, GIT, CMake, WCF
• SOA, Microservices, Solid principles, DDD
• Experience with databases (SQL)
• Problem-solving, proactive in task clarification, analytical thinking
• SCRUM framework knowledge and understanding of SDLC
• English level: Intermediate+
• Ability to work effectively in a team and with international clients

Nice-to-Have Skills Description:

• gRPC
• Kubernetes
• Multithreading knowledge
• PowerShell scripting
• Azure cloud
• Oil and Gas domain knowledge

Project Description:

Client is a top one in automotive sphere. He has a bunch of projects which are related with tools for testing/emulation of IVI part. Part team is in Detroit and part in Ukraine remote. Projects have parts starting from HW boards and completing with SW part.

Responsibilities:

Testing Balance: 70% Automation / 30% Manual testing split.
Embedded automation: actively contribute and evolve existing automation framework (Python).
Protocols: Hands-on experience with CAN, gRPC, and TCP.
Embedded Systems: Expertise in hardware flashing and embedded environment interaction.
OS: Linux knowledge and CLI proficiency.
CICD: Experience with GitHub Action.
Test Planning: Define the automation strategy for new features, ensuring high coverage for complex automotive use cases.
Reporting & Analytics: Build reports to visualize test results, hardware stability metrics.

Mandatory Skills Description:

Automotive experience
Understanding of CAN
Python: Advanced proficiency to evolve and maintain an existing automation framework.
Protocols: Hands-on experience with CAN, gRPC, and TCP.
Embedded Systems: Expertise in hardware flashing and embedded environment interaction.
OS: Linux knowledge and CLI proficiency.
CICD: Experience with GitHub Action.

Languages:

English: B2 Upper Intermediate

We are a U.S.-based fintech startup operating in the investment and financial services space. Our distributed teams work across Poland, the United States, and Ireland, collaborating on technology-driven solutions related to stocks and investments.

Security, compliance, and the responsible handling of sensitive financial data are central to how we operate, as we build scalable products in a regulated environment.

4-6 years of experience is ok

Responsibilities

— Modernize legacy systems( C#) via redesign and refactoring.

— Build APIs with proper security and lifecycle governance.

— Collaborate with UX, product, and architecture teams.

— Optimize backend performance.

— Support public API documentation and governance.

Skills

— Strong ( C#) Jbackend capability.

— Experience with modernization and migration projects.

— Understanding of microservice and API design.

— Familiarity with CI/CD, linting, testing frameworks.

— Knowledge of security and performance patterns.

— Good collaboration across UX and backend teams.

In addition to this, if you have commercial experience with Java backend or React frontend — it will be a strong plus.

Recruitment steps:

• HR interview (30-45 min)
• Tehnical interview with live coding (40-45 min)
• Final client interview (30-45 min)
• Backround check
• Job Offer

The assignment is for between 26 to 32 months. You will work in a team of 9 engineers. The assignment is to migrate from monolith to microservices.

Important: the candidate must have worked/lived in Poland for the last 2+ years

Please read before applying:

The client is building a product in the bank/investment/brokerage systems niche, and their investors have strict security and compliance requirements, where every person will go through a background check.

What does this mean?

Before making an offer, they will check whether you have violated any EU laws.

For background check — you must be a taxpayer in Poland for 2+ years.

Project Description:

We are seeking a highly skilled Snowflake Data Engineer with 7 years of IT experience to design, build, and optimize scalable data pipelines and cloud-based solutions across AWS, Azure, and GCP. The ideal candidate will have strong expertise in Snowflake, ETL Tools like DBT, Python, visualization tools like Tableau and modern CI/CD practices, with a deep understanding of data governance, security, and role-based access control (RBAC). Knowledge of data modeling methodologies (OLTP, OLAP, Data Vault 2.0), data quality frameworks, Stream lit application development and SAP integration and infrastructure-as-code with Terraform is essential. Experience working with different file formats such as JSON, Parquet, CSV, and XML is highly valued.

Responsibilities:

• Design and develop data pipelines using Snowflake and Snow pipe for real-time and batch ingestion.
• Implement CI/CD pipelines in Azure DevOps for seamless deployment of data solutions.
• Automate DBT jobs to streamline transformations and ensure reliable data workflows.
• Apply data modeling techniques including OLTP, OLAP, and Data Vault 2.0 methodologies to design scalable architectures.
• Document data models, processes, and workflows clearly for future reference and knowledge sharing.
• Build data tests, unit tests, and mock data frameworks to validate and maintain reliability of data solutions.
• Develop Streamlit applications integrated with Snowflake to deliver interactive dashboards and self-service analytics.
• Integrate SAP data sources into Snowflake pipelines for enterprise reporting and analytics.
• Leverage SQL expertise for complex queries, transformations, and performance optimization.
• Integrate cloud services across AWS, Azure, and GCP to support multi-cloud data strategies.
• Develop Python scripts for ETL/ELT processes, automation, and data quality checks.
• Implement infrastructure-as-code solutions using Terraform for scalable and automated cloud deployments.
• Manage RBAC and enforce data governance policies to ensure compliance and secure data access.
• Collaborate with cross-functional teams including business analysts, and business stakeholders to deliver reliable data solutions.

Mandatory Skills Description:

• Strong proficiency in Snowflake (Snowpipe, RBAC, performance tuning).
• Hands-on experience with Python , SQL , Jinja , JavaScript for data engineering tasks.
• CI/CD expertise using Azure DevOps (build, release, version control).
• Experience automating DBT jobs for data transformations.
• Experience building Streamlit applications with Snowflake integration.
• Cloud services knowledge across AWS (S3, Lambda, Glue), Azure (Data Factory, Synapse), and GCP (BigQuery, Pub/Sub).

Nice-to-Have Skills Description:

- Cloud certifications is a plus

Languages:

English: B2 Upper Intermediate

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

Nice-to-Have Skills Description:

C++ development skills
Practical experience with the Eclipse RCP framework
OSGi knowledge
Oil & Gas domain experience

Languages:

English: B2 Upper Intermediate

Junior SEO Specialist

We are looking for a Junior SEO Specialist to join our friendly team — someone who is eager to grow in this field and dive deep into the specifics of a highly competitive niche.

Requirements
At least 1 year of experience in SEO
English level B1 or higher
Recent hands-on SEO experience within the last year
Solid knowledge of off-page and on-page SEO
Basic to intermediate knowledge of HTML and on-page SEO (semantic markup)
Confident use of SEO tools such as Ahrefs, Screaming Frog, and others, as well as Google Search Console and AI tools
Mandatory experience with CMS WordPress
Proven successful SEO cases and results (with the ability to demonstrate them)
Ability to conduct audits and analysis of websites, rankings, competitors, user behavior, and conversions, and identify growth opportunities
Practical link-building experience and the ability to analyze different types of backlinks
Understanding of search engines and ranking principles (Google)

Nice to have
Experience or interest in the gaming industry
Experience working with projects targeting Western markets
Experience launching projects from scratch
Experience working with large mono-brand or review projects

Responsibilities
Managing the full lifecycle of website launches for Western GEOs — from niche selection to active promotion
SEO analysis: keyword research and clustering, analysis of competitors’ anchor links
Technical SEO audits: conducting technical website audits
Content management: creating and optimizing content, assigning tasks to copywriters, analyzing competitors’ content, and publishing content on the website
Collaborating with SEO specialists, link builders, developers, content managers, designers, and project managers
Link management: analyzing competitors’ backlinks, developing link-building strategies, managing backlink databases, ensuring link quality
Monitoring and analyzing performance and results

We offer
Opportunities for professional growth
Experience in one of the most promising industries
Career development alongside top specialists in the market
A friendly and supportive team environment
Social benefits package, including 100% paid vacation and sick leave
Flexible start and end of the working day
Fully remote work

About the Role

We are looking for a highly skilled and strategic Senior DevSecOps Engineer to lead our security operations and infrastructure automation initiatives. In this role, you will bridge the gap between development, security, and operations, ensuring our on-premise environment remains secure, resilient, and efficient.
You will act as a subject matter expert, leveraging cutting-edge tools like CrowdStrike to automate threat detection and response, while maintaining robust perimeter security via Cloudflare.

Key Responsibilities
Implementation and automation of security tools in the CI/CD process (SAST, DAST, SCA).
Analysis of vulnerabilities in code, infrastructure and containers.
Development and configuration of security monitoring systems, incident response.
Monitoring and improving the security level of on-prem infrastructures.
Interaction with developers, DevOps and security teams to implement secure practices.
Active participation in the processes of IAM configuration, management of certificates, secrets and access policies.
Conducting internal security audits, participation in external (e.g. penetration) tests.

Requirements

Must-have:
Experience: 5+ years of experience in DevSecOps, Security Engineering, or a related field, with at least 2 years in a Senior role.
Tooling Expertise: Deep hands-on experience with the following specific tools:
Baremetal/on-premise infrastructure
Docker (Docker Swarm is a strong plus)
Gitlab CI 
CrowdStrike
Cloudflare
ELK.
SIEM Proficiency: Proven experience deploying and tuning SIEM solutions (e.g., Splunk, Elastic Security, Datadog, or similar).
Infrastructure: Strong background in managing on-premise infrastructure (physical servers, data centers, virtualization, networking).
Scripting: Proficiency in Python, Go, or Bash for automation and tooling.

Nice-to-have:
Experience with Kubernetes and such tools as Wiz.io and Torq.
Previous involvement in high-load, regulated, or 24/7 production environments (e.g., iGaming, FinTech, telecom or similar).

We offer
Fully remote work opportunity
Enhanced leave benefits:
20 days of paid vacation
5 paid days off
14 paid sick leaves
Company clubs & communities
Celebration gifts for personal milestones
Corporate online events, raffles & challenges
Corporate English program
Corporate yoga classes
Team-building activities
Coworking compensation
Training and development programs (internal & external).