Jobs

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

About the role:
In this role, you will:
● Own parts of our core backend infrastructure, which is a complex, real-time distributed system written in Python and Rust
● Own big initiatives end-to-end and deliver them with minimal guidance
● Troubleshoot highly complex production issues
● Constantly improve our development velocity while maintaining a very high reliability standard

Qualifications:
● BSc in Software Development or equivalent industry experience
● Previously a Staff or Principal Engineer at a startup company
● 10+ years of experience in Python development
● Strong Python Asyncio experience
● Strong software design skills
● Excellent communicator in writing and orally
● Significant experience with at least one strongly typed language (Rust, C++, Go,
Swift, Java, etc)
● Deep understanding of Networking Protocols, Operating Systems
● Deep knowledge of Python Profiling
● Experience in delivering and troubleshooting a production-grade cloud-based
distributed system
● Experience in building and troubleshooting a real-time low-level system (e.g.
kernel, drivers, RTOS)
● Kubernetes and Helm experience
● Experience with different observability stacks
● Strong LLM prompting skills, but also being able to work without them
● Experience with gRPC and its troubleshooting
● Being a contributor or maintainer of an open-source package
Bonus:

● An understanding of one of the following: WebRTC, STUN/TURN, SIP, RTP,
HLS, RTMP
● Having worked with Rust and PyO3
● Audio programming experience

Qualities We're Looking For
● Fast - you know you're a 10X engineer, not just yet another senior engineer
● Resilience – being able to balance planned work with real-time issues in a fast-
paced, high-pressure environment
● Strong communication skills – in both written and verbal communication, with
the ability to produce crisp and clear documentation
● Problem solver
● Extremely Strong ownership and independence
● Ability to translate incomplete requirements into an actual product
● Team player

Stage

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 hands-on Sr. Machine Learning / Computer Vision Engineer with strong practical experience in designing, training, evaluating, and improving vision systems for real-world applications. The ideal candidate combines solid theoretical ML/CV fundamentals with an engineering mindset and is comfortable taking ownership of the full pipeline, from data preparation and experimentation to model optimization and deployment.

Responsibilities:
- Design, train, evaluate, and improve machine learning and computer vision models for real-world production use cases
- Build and maintain end-to-end ML pipelines, including data collection support, preprocessing, feature engineering, training, validation, and inference
- Develop solutions across both computer vision and machine learning tasks depending on business needs
- Perform error analysis, diagnose model weaknesses, and drive improvements in accuracy, robustness, and reliability
- Select and justify appropriate methods and model architectures based on dataset characteristics, product constraints, and deployment requirements
- Work with challenging real-world data, including noisy, limited, imbalanced, or weakly labeled datasets
- Collaborate with engineering and product teams to translate business problems into practical ML solutions
- Contribute to production-ready development with a focus on maintainability, reproducibility, and performance

Requirements:
- 3–5+ years of professional experience in Machine Learning / Computer Vision
- Strong senior-level practical expertise in computer vision, machine learning, and applied model development
- Hands-on experience with tasks such as object detection, image classification, anomaly detection, feature-based approaches, or similar
- Solid understanding of classical ML methods, including tree-based models, linear models, feature engineering, model selection, and evaluation
- Strong Python skills and practical experience with PyTorch, OpenCV, and common ML tooling
- Experience building full ML workflows including data preparation, augmentation, preprocessing, training, validation, testing, and deployment handoff
- Strong understanding of model evaluation, debugging, overfitting, generalization, optimization, and experiment-driven improvement
- Ability to write clean, modular, maintainable code and independently own technical solutions
- Strong analytical thinking, engineering maturity, and problem-solving skills

Nice to Have:
- Experience in adjacent ML domains such as time-series, audio, or NLP
- Experience with embedding-based methods, metric learning, retrieval systems, or memory-bank approaches
- Practical experience with model optimization techniques such as quantization, pruning, distillation, or related efficiency-focused approaches
- Experience working with real-world industrial datasets and ambiguous problem formulations
- Knowledge of software engineering best practices, reproducible experimentation, and pipeline design

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

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 hands-on Sr. Machine Learning / Computer Vision Engineer with strong practical experience in designing, training, evaluating, and improving vision systems for real-world applications. The ideal candidate combines solid theoretical ML/CV fundamentals with an engineering mindset and is comfortable taking ownership of the full pipeline, from data preparation and experimentation to model optimization and deployment.

Responsibilities:
- Design, train, evaluate, and improve machine learning and computer vision models for real-world production use cases
- Build and maintain end-to-end ML pipelines, including data collection support, preprocessing, feature engineering, training, validation, and inference
- Develop solutions across both computer vision and machine learning tasks depending on business needs
- Perform error analysis, diagnose model weaknesses, and drive improvements in accuracy, robustness, and reliability
- Select and justify appropriate methods and model architectures based on dataset characteristics, product constraints, and deployment requirements
- Work with challenging real-world data, including noisy, limited, imbalanced, or weakly labeled datasets
- Collaborate with engineering and product teams to translate business problems into practical ML solutions
- Contribute to production-ready development with a focus on maintainability, reproducibility, and performance

Requirements:
- 3–5+ years of professional experience in Machine Learning / Computer Vision
- Strong senior-level practical expertise in computer vision, machine learning, and applied model development
- Hands-on experience with tasks such as object detection, image classification, anomaly detection, feature-based approaches, or similar
- Solid understanding of classical ML methods, including tree-based models, linear models, feature engineering, model selection, and evaluation
- Strong Python skills and practical experience with PyTorch, OpenCV, and common ML tooling
- Experience building full ML workflows including data preparation, augmentation, preprocessing, training, validation, testing, and deployment handoff
- Strong understanding of model evaluation, debugging, overfitting, generalization, optimization, and experiment-driven improvement
- Ability to write clean, modular, maintainable code and independently own technical solutions
- Strong analytical thinking, engineering maturity, and problem-solving skills

Nice to Have:
- Experience in adjacent ML domains such as time-series, audio, or NLP
- Experience with embedding-based methods, metric learning, retrieval systems, or memory-bank approaches
- Practical experience with model optimization techniques such as quantization, pruning, distillation, or related efficiency-focused approaches
- Experience working with real-world industrial datasets and ambiguous problem formulations
- Knowledge of software engineering best practices, reproducible experimentation, and pipeline design

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

Company
The company specializes in lead generation within the iGaming domain, primarily through SEO-driven solutions. They work on long-term client projects and are currently expanding their internal development team.

Position Overview

We are looking for a Lead / Senior Full-Stack Engineer who operates at a true senior / lead level — not by years of experience, but by depth of expertise and ownership.

This role is for someone who:

• takes full ownership of complex systems
• makes architectural decisions
• builds scalable solutions (not just features)
• sets and raises engineering standards within the team

Location & Format

• Remote
• EU time zone required
• Full-time, long-term cooperation

Language Requirements

• English — required for daily communication
• Strong English is a significant advantage

Team & Projects

You will join a stable team working on long-term lead generation platforms.

This is not a task-execution role. We expect you to:

• take ownership of complex technical decisions
• improve architecture and system performance
• raise the overall engineering bar within the team

Tech Stack

• PHP (Symfony)
• WordPress
• JavaScript
• HTML / CSS

Key Requirements

WordPress (must-have, advanced level)

• Experience building complex, large-scale WordPress systems (not content websites)
• Hands-on experience with WordPress Multisite (production)
• Strong experience with custom plugin development, including:
  • OOP
  • Composer / autoloading
  • Typed properties
• Experience with:
  • custom database structures
  • custom caching strategies (not plugin-based)
  • advanced use of WP_Query
  • improving developer & admin tooling

👉 If your experience is mostly theme customization or plugin usage — this role is not a fit.

PHP (strong senior level required)

• 5+ years with modern PHP (8+)
• Ability to design abstractions, libraries, and internal frameworks
• Experience with:
  • phpcs / phpcbf
  • custom sniffs OR PHPParser / AST
  • reflection & introspection
  • DTOs, Value Objects, clean architecture principles

Frontend / CSS

• Strong modern CSS skills (must-have)
• Understanding of browser rendering, layout, and performance

Performance & Optimization (critical)

• Deep understanding of Core Web Vitals
• Real experience with performance optimization (not just tools/plugins)
• Ability to identify bottlenecks and design custom solutions

Mindset & Approach

We are looking for engineers who:

• think analytically and architecturally
• deeply understand systems, not just tasks
• challenge “working solutions” and improve them
• proactively raise engineering standards

👉 If you mainly execute tasks and rely on predefined solutions — this role is not a fit.

AI Usage

• AI is allowed, but must not be a dependency
• Strong preference for engineers with deep system understanding
• AI-generated communication is discouraged

Start Date

• ASAP

We are the creators of a new fintech era!
Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.
We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT, and VISA.


The future of Web3 starts with you: join us as a Compliance Support Specialist!

Requirements:

Education:
— Bachelor’s degree

Experience:
— Up to 1 year of experience in a similar position;
— Experience interacting with NDA;
— Experience working collaboratively with other departments.

Key skills:
— Proficiency with Google Docs, Jira, Confluence, Youtrack, Slack;
— Skills in working with Extensible Markup Language format files (.xml, .xsd, .json, etc.);
— Strong analytical and problem-solving skills to identify, assess, and manage reputational risks;
— Attention to detail, meticulousness, non-standard approach to problem-solving;
— Skill in process management and creating the flow of work with representatives from other departments;
— Speed of work and analysis of input data;
— Communicability, ability to establish contact with the team, and find a solution in conflict situations.

— English — (Upper-Intermediate (B2))

— Ukrainian — (Native)

Responsibilities:

Main goals:
— Handling enquiries from (NDA1). Enquiry, reviewing, adding, compiling responses and forwarding relevant information to other departments;
— Handling enquiries from (NDA2). Enquiry, reviewing, adding, compiling responses and forwarding relevant information to other departments;
— Searching and analysing transactions in various explorers and internal systems;
— Communicating with partners, assisting in AML-related situations;
— Writing competent and logically structured letters in English, Ukrainian and Russian
— Collaboration with NDA: work with NDA during investigations related to AML situations, and provide necessary documentation and support to facilitate legal processes.

Profession work and duties:
— Analyse unusual transactions and activities;
— Investigate any internal breaches of AML policies;
— Work closely with other departments, such as legal, financial, support, and commercial to ensure a cohesive AML strategy;
— Coordinate with NDA during investigations;
— Hold communication with the partnering services regarding AML issues.

Work conditions:

Immerse yourself in Crypto & Web3:
— Master cutting-edge technologies and become an expert in the most innovative industry.
Work with the Fintech of the Future:
— Develop your skills in digital finance and shape the global market.
Take Your Professionalism to the Next Level:
— Gain unique experience and be part of global transformations.
Drive Innovations:
— Influence the industry and contribute to groundbreaking solutions.
Join a Strong Team:
— Collaborate with top experts worldwide and grow alongside the best.
Work-Life Balance & Well-being:
— Modern equipment.
— Comfortable working conditions, and an inspiring environment to help you thrive.
— 22 business days of paid leave.
— Health insurgence.
— Additional days off for national holidays.

With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career!
Let’s Build the Future Together!

Mirko Solutions is an international IT company specializing in web and mobile development for clients in the US, Canada, EU, and Australia. We are growing rapidly and are currently looking for a Senior Python Backend Engineer for a new international project.

About the role:
Our backend is developed all in Python running in the cloud over k8s. It's not a typical backend interacting with a UI frontend, handling audio streams in real-time. Our systems integrate with a large number of third party services. Because of the myriad of
challenges and the fast pace of a startup, each team member gets to experience a lot of professional growth and ownership

In this role, you will:

🔸 Own parts of our core backend infrastructure, which is a complex, real-time distributed system written in Python and Rust

🔸 Own big initiatives end-to-end and deliver them with minimal guidance

🔸 Troubleshoot highly complex production issues

🔸 Constantly improve our development velocity while maintaining a very high reliability standard

Qualifications:

🔸 BSc in Software Development or equivalent industry experience

🔸 Previously a Staff or Principal Engineer at a startup company

🔸 10+ years of experience in Python development

🔸 Strong Python Asyncio experience

🔸 Strong software design skills

🔸 Excellent communicator in writing and orally

🔸 Significant experience with at least one strongly typed language (Rust, C++, Go, Swift, Java, etc)

🔸 Deep understanding of Networking Protocols, Operating Systems

🔸 Deep knowledge of Python Profiling

🔸 Experience in delivering and troubleshooting a production-grade cloud-based distributed system

🔸 Experience in building and troubleshooting a real-time low-level system (e.g. kernel, drivers, RTOS)

🔸 Kubernetes and Helm experience

🔸 Experience with different observability stacks

🔸 Strong LLM prompting skills, but also being able to work without them

🔸 Experience with gRPC and its troubleshooting

🔸 Being a contributor or maintainer of an open-source package

Bonus:

🔸 An understanding of one of the following: WebRTC, STUN/TURN, SIP, RTP, HLS, RTMP

🔸 Having worked with Rust and PyO3

🔸 Audio programming experience

We offer:

🔸 remote work (full-time);

🔸 projects for international clients;

🔸 a team of experienced colleagues who will support your development;

🔸 a friendly atmosphere and opportunities for professional growth.

We are looking for a Learning & Development Specialist to join United Tech and build a strong, scalable learning ecosystem from the ground up.

This is a unique opportunity to design and implement L&D processes with a high level of autonomy and direct impact on management quality and business performance. You will work closely with leaders and specialists across platforms, shaping development initiatives that drive behavioral change, improve leadership capabilities, and strengthen our knowledge-sharing culture.

About the company: United Tech is a global IT product company shaping the future of real-time social connection. With millions of users across North America, Europe, LATAM, and MENA, we build next-gen mobile and web apps for live-streaming and social networking.

Our platforms enable connection at scale fast, interactive, and deeply engaging. The market is projected to exceed $206B by 2030, and we are already leading the evolution.

Founded in Ukraine, scaling worldwide

In this role, you will:

• Build and implement a scalable Learning & Development strategy from scratch
• Adapt and deliver workshops tailored to the specifics of different product platforms
• Ensure high participation and measurable impact of learning initiatives (NPS, behavior change, completion rate)
• Launch and develop an MVP Learning Hub (structure, content systematization, knowledge testing)
• Implement knowledge assessment models for onboarding and internal policies
• Introduce key learning analytics and prepare recommendations for scaling (MVP vs. LMS)
• Design and implement a structured English level assessment framework and track measurable progress
• Manage external training programs, vendors, and budgets

• Drive a culture of continuous learning, management excellence, and knowledge sharing

   

It’s all about you:

• 3+ years of experience in Learning & Development / People Development / HR Development
• Proven experience designing and delivering learning programs for managers and specialists
• Experience building or structuring internal learning systems
• Strong facilitation skills (online & offline workshops)
• Experience working with learning analytics (NPS, completion rate, impact evaluation)
• Experience organizing external training initiatives (vendor selection, budgeting, effectiveness tracking)
• Experience implementing or configuring LMS / eLMS systems
• Strong stakeholder management skills and the ability to work autonomously

• Structured thinking, ownership mindset, and a data-driven approach to decision-making

   

Would be a plus:

• Knowledge of instructional design methodologies, including adult learning principles
• Experience working in product IT companies

What we offer
Care and support: 

• 20 paid vacation days, 15 sick leave days, and 6 additional days off for family events
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Financial and legal support
• Maternity recovery support allowance
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine

Comfortable working environment:

• Work from our Kyiv hub or remotely with a flexible schedule
• Modern equipment or depreciation of your own tools

Investment in your future:

• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here – so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes

• Corporate library, book club, and knowledge-sharing events

   

Hiring process:

• Intro call
• HR Interview
• Technical Interview
• Bar-raising
• Reference check
• Offer

We are building one of the most powerful live-streaming platforms, already connecting 400K+ monthly active users through live events, interactive video chats, and real-time community experiences. Our mission is bold: bring joy, fight loneliness, and deliver safe, ad-free entertainment that keeps people coming back.
This is a complex, fast-moving space, and we love it that way! So, you will join a passionate, expert team tackling everything from scaling AI-powered recommendations to launching high-impact, data-driven features that boost monetization and engagement. Every idea counts here, and every release reaches a massive global audience.
We are now expanding into Arab countries and Europe, enhancing content quality, and rolling out new features to keep users hooked. We are among the Top 5 streaming products in the US and rank in the Top 10 worldwide. Our next milestone: break into the global Top 5, and we are moving fast to make it happen

About the role: In this role, you will turn numbers into insights, ensuring our marketing stays sharp and effective. From analysing campaign efficiency to connecting marketing and product analytics, you’ll spot growth opportunities and track performance with precision. Your work will directly influence data-driven decisions, keeping our marketing activities stable, scalable, and impactful. With strong results, you’ll also have the opportunity to grow in seniority and potentially lead the department in the future.

In this role, you will

• Analyze paid marketing campaigns across multiple channels, regions, creatives
• Build regular reports and provide ad-hoc analytics on marketing effectiveness (CAC, ROI, LTV, attribution).
• Connect marketing data with product metrics to measure the true business impact of campaigns.
• Monitor marketing funnel health and detect anomalies or drops in performance.
• Collaborate with product analysts, marketers, and data engineers to improve data pipelines and tracking.
• Provide actionable insights and recommendations to optimize campaigns and budget allocation.

It’s all about you

• Experience collaborating with marketing and product teams to monitor key performance metrics, identify anomalies or performance issues, and communicate actionable insights to managers for decision-making.
• Strong SQL
• Strong problem identification skills with critical thinking and a clear understanding of cause-and-effect relationships.
• Proficiency in BI tools (Tableau, Looker, or similar).
• Solid understanding of marketing metrics (CAC, ROI, LTV, ARPU, retention) and attribution models (last-click, multi-touch)
• Good communication skills to translate complex findings into business recommendations

Would be a plus

• Familiarity with Python and basic understanding of ML
• Usage of AI tools (ChatGPT, Claude AI, Gemini, etc) on a daily basis

What we offer

Care and support:

• 20 paid vacation days, 15 sick days, and 6 additional days off for family events
• Up to 10 additional days off for public holidays
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Financial and legal support
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine

Comfortable working environment:

• Work from our Kyiv hub or remotely with a flexible schedule
• Workspace rental reimbursement in other cities and abroad
• Modern equipment or depreciation of your own tools

Investment in your future:

• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here — so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes
• Corporate library, book club, and knowledge-sharing events

Hiring process

• Intro call
• Technical interview
• Reference check
• Offer

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?

• Work format: Remote or in a comfortable office in Lviv - you choose.
• Development: Personal development plan, mentoring, English and Polish language courses.
• Stability: Official employment from day one, annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.

Join us as a Data Architect / Lead and play a key role in shaping the data foundation behind our next generation of analytics and AI solutions. In this position, you’ll define the architecture vision for our modern data ecosystem, guide a growing team of Data Engineers, and build cloud‑native platforms that unlock enterprise‑wide insights. This is a high‑impact role where you’ll work closely with business and technology leaders, influence strategic decisions, and drive the adoption of advanced analytics and Generative AI across the organization.

What You’ll Do:

Lead & Strategize

• Lead and mentor Data Engineers, fostering innovation and continuous improvement.
• Own the data architecture vision aligned with business goals.
• Partner with executives and stakeholders to turn strategic needs into scalable data solutions.

Architect & Build

• Design and optimize modern data platforms using Azure Data Lake, Databricks, SQL Server, Microsoft Fabric, and NoSQL.
• Build robust, scalable data pipelines across diverse data sources.
• Implement strong data quality, governance, and security practices.
• Support advanced analytics, machine learning, and AI-based solutions.

Enable Insights

• Build solutions that deliver accurate, timely insights for decision-makers.
• Collaborate on Power BI dashboards and executive reporting.
• Integrate Generative AI into insight-generation workflows.

Requirements:

• Bachelor’s degree in Computer Science, Data Engineering, or related field.
• 4+ years in data engineering, architecture, or analytics roles.
• Experience leading Data Engineering teams in enterprise settings will be a plus.
• Strong skills in Azure data services, Databricks, SQL, NoSQL, and Microsoft Fabric.
• Hands-on Power BI and enterprise reporting experience.
• Proven ability to build data pipelines and enforce data quality.
• Excellent communication skills, especially with executive stakeholders.
• Relevant certifications (Azure Data Engineer, Databricks, Fabric Analytics, etc.) are a plus.

Policy statements:
https://www.pwc.com/ua/uk/about/privacy.html

Job Description

We are looking for a DevOps Engineer to join a high-throughput enterprise platform operating at large scale. The role focuses on strengthening reliability, scalability, and security across a cloud-native infrastructure environment supporting mission-critical systems. The consultant will join an international platform engineering team working alongside backend engineers, SRE specialists, and cloud architects in a product-oriented delivery model. The team operates in Agile with two-week sprints and shared ownership of infrastructure, automation, and deployment pipelines.

Responsibilities

• Design, build, and operate production-grade Kubernetes clusters
• Develop and optimise CI/CD pipelines using GitOps and tools such as Jenkins, Bitbucket, or GitHub
• Manage container platforms using OpenShift, Docker Registry, Helm, and Kustomize
• Deploy and maintain AWS infrastructure focusing on security, resilience, and cost efficiency
• Administer and harden Red Hat Enterprise Linux environments
• Automate infrastructure and operational workflows using Bash and Python
• Implement Infrastructure as Code using Terraform
• Collaborate with engineering teams to streamline deployments and reduce delivery cycle time

• Implement and maintain observability using Prometheus, Grafana, and OpenTelemetry

   

Requirements

• Strong hands-on expertise with Kubernetes, Docker, Helm, and Terraform
• Extensive experience delivering solutions on AWS
• Experience with GitOps practices and CI/CD tooling such as Jenkins, Bitbucket, or GitHub
• Solid Red Hat Enterprise Linux administration skills
• Strong scripting skills in Bash and Python
• Strong understanding of cloud provisioning and Infrastructure as Code patterns
• Experience working in Agile engineering environments
• Availability to start quickly with short notice preferred

• Willingness to attend the Warsaw office occasionally

   

Nice to have

• Experience working on high-throughput or highly scalable platforms
• Background in gaming, fintech, or other high-availability systems
• Experience with observability platforms and distributed system monitoring

• Exposure to product-oriented platform engineering teams

   

Benefits

• Solid, competitive salary
• Work in a multinational environment on international projects
• Comprehensive healthcare
• Long-term B2B contract with a stable project pipeline
• Remote work model (Warsaw), with on-site presence 2–4 times per month

We’re looking for a Technical (Python) Support Engineer to keep our production applications stable and fast during weekend shifts. You’ll handle incident triage, bug fixes, and small improvements while collaborating with the core team when escalation is needed.

Shift on Saturday & Sunday:

• 00:00-06:00 (GMT+2)
   

What you’ll do

• Maintain and troubleshoot Python/Django web applications
• Debug and optimize database performance (PostgreSQL)
• Operate core AWS services (EC2, S3)
• Diagnose issues with cross-functional teams and implement quick fixes
• Keep code changes clean, documented, and secure
• Handle end-user requests and provide technical assistance

What we’re looking for:

• English: Upper-Intermediate or higher
• Experience: 6+ months with Python & Django OR no commercial experience but:
  • Completed relevant courses/bootcamps (Python, Django, Databases, AWS)
  • Strong fundamentals (data types, HTTP/REST, Git, basic Linux, debugging)
  • Hands-on projects (pet projects, labs, internships) — GitHub links welcome
• Solid knowledge of PostgreSQL (or another relational DB)
• Basic familiarity with AWS (EC2, S3)
• Strong analytical and debugging skills
• Basic understanding of REST APIs and front-end basics (HTML, CSS, JavaScript)
• Clear communicator; comfortable working independently and in a team

Nice to have

• Docker, Kubernetes, and CI/CD pipelines
• Web application security best practices
• Experience in an Agile environment
   

What we offer

• Paid part-time weekend shifts
• Flexible choice of shift blocks
• Supportive team and transparent processes
• Fast track to real production experience

We’re looking for an experienced AI Engineer (Python Backend) to join our team building backend systems for GenAI-powered applications used by leading US clients in banking, fintech, and payments. The projects involve designing intelligent automation tools, data-driven decision engines, and secure AI integrations for enterprise-grade environments.
 

Responsibilities:

• Design and develop backend microservices in Python (Django, Flask, or FastAPI) powering GenAI applications and internal automation platforms.
   
• Integrate with LLM APIs (OpenAI, Anthropic) and implement RAG pipelines using vector databases such as Pinecone or Chroma to enhance contextual intelligence.
   
• Develop AI workflow orchestration — prompt routing, retrieval logic, tool execution, memory handling, and multi-agent collaboration — using LangChain and LangGraph.
   
• Build APIs and backend modules that connect to financial systems, credit decision engines, and customer experience platforms.
   
• Manage structured and unstructured data pipelines, integrating with PostgreSQL, MongoDB, and data lakes.
   
• Deploy and maintain services using Docker and cloud environments (Azure or AWS), ensuring scalability, performance, and security compliance.
   
• Collaborate with cross-functional teams in the US and Europe, including frontend, DevOps, and data science units, to deliver production-grade AI capabilities.
   

Requirements

• 3–4+ years of backend experience with Python (Django, Flask, or FastAPI).
   
• 1–2+ years working with GenAI, LLM APIs, or vector database architectures.
   
• Practical knowledge of LangChain, LangGraph, embeddings, and retrieval frameworks.
   
• Strong experience with Docker, Git, CI/CD, and cloud services (Azure or AWS OR GCP).
   
• Understanding of prompt optimisation, token management, and AI system integration.
   
• Experience in enterprise or banking environments is a strong advantage.
   
• B2+ English and ability to collaborate with global engineering teams.
   

Benefits

• Competitive daily rate.
   
• Opportunity to work on international GenAI projects for top-tier US clients.
   
• Dynamic, multilingual work environment and access to advanced AI infrastructure.
   
• Private medical care and long-term project engagement.

We are currently seeking an entry-level specialist to join our team as a Community Manager and work with a product focused on crowdsourced software testing.

Qualifications for this position include:
● English fluency in high-level is essential, both verbal and written
● Good level of theoretical knowledge of mobile testing
● Some experience with community management, marketing or advertising
● Knowledge of Excel is a requirement
● A highly competitive and self-driven sense of motivation and willingness to work during flexible hours
● Ability to handle multiple tasks simultaneously
● Excellent communication skills.

Nice to have:
● Work experience as a QA engineer.

We offer:
● А place with friendly environment where you can reach your full potential and grow your career
● Flexible work schedules.
● Social package: paid sick leave and vacation.
● English courses, medical insurance, legal support, etc.

This person main responsibility is:
● Manage a large community (crowdsourcing) of existing global and freelance software testers and responsible to recruit new community members and maintain the relationship while making them feel belong and appreciated.

Responsibilities for this position include:
● Responsible for managing community’s relations, recruit new testers, signup process, communicate their duties and work flow, provide initial training on our system, and then train the QA testers on how to perform their duties.
● Responsible for assigning a team of testers to a specific test project and coordinate their work
● Create monthly reports regarding tester’s activity and payments
● Work closely with the project managers and sales managers to ensure the test process, methodologies and tools are applied appropriately during the test session.

Про проєкт

Ubertesters is a software development company and the provider of a community of on-demand, global, professional testers with devices to help companies support their mobile testing needs. The company also offers a cloud-based, mobile app testing tool to help companies manage their mobile testing process and in-house QA teams.

Required tech stack:
-TypeScript
-Node.js
-React & React Native
-Experience with microservices and event-driven architecture
-Cloud platforms (GCP or AWS)

We offer:

• Cooperation with a stable company with well-established processes and a positive atmosphere
• Experience in project management of different levels of complexity, methodology, and approaches
• Flexible schedule: Mon-Fri (8 hours a day)
• 18 days of paid vacation; 15 days sick leave
• A decent level of remuneration with regular reviews of the results of cooperation
• Extensive loyalty program