Jobs

The product company is looking for an AI/ML Engineer to join their team in Warsaw.

The company is a global live-streaming platform with over 450 million users, enabling creators to engage with audiences and monetize their content. The team consists of 350+ professionals worldwide.

The company offers:
• stock options
• medical insurance (100% for employees, 75% for family members)
• office lunches
• parking
• multisport card

Requirements:
• experience in an ML role
• experience with LLMs (prompt engineering, RAG architectures, integration)

We are looking for an Identity and Access Management Engineer to build and strengthen our identity and access security controls across cloud, SaaS, and internal systems. In this role, you will be responsible for implementing practical Zero Trust principles, ensuring secure authentication, enabling Single Sign-On (SSO), enforcing Multi-Factor Authentication (MFA), and handling other key security tasks. Join our team to help protect sensitive data and improve the overall security posture of our systems.

Responsibilities

• Implement and maintain IAM controls across cloud, SaaS, and internal platforms
• Configure and optimize SSO integrations using SAML, OAuth 2.0, and OIDC
• Design and refine MFA and Conditional Access policies 
• Support secure user lifecycle processes, including Joiner, Mover, and Leaver (JML) activities
• Participate in access reviews and privilege cleanup activities
• Troubleshoot  authentication and authorization issues
• Analyze authentication events and provide technical expertise for identity-related investigations
• Collaborate with Engineering and IT teams to ensure secure onboarding of applications and access models
• Ensure alignment with audit and compliance requirements related to IAM controls
• Contribute to practical Zero Trust improvements based on company priorities and maturity

Requirements

• 3+ years of hands-on experience in IT or Information Security with a dedicated focus on Identity and Access Management (IAM), authentication, SSO, MFA, access control and user administration
• Practical experience with major Identity Providers such as Microsoft Entra ID, Okta, or similar solutions
• Solid grasp of identity standards, including SAML 2.0, OAuth 2.0, and OpenID Connect (OIDC)
• Proven ability to configure SSO integrations, manage MFA policies, and administer user/group/role hierarchies
• Strong understanding of Least Privilege, Conditional Access frameworks, and Joiner-Mover-Leaver (JML) lifecycles
• Ability to troubleshoot authentication issues and analyze identity-related logs
• Proficiency in PowerShell, Python or Bash
• English - Intermediate or higher (for free communication)

Will be a plus

• Practical experience in automating identity workflows, including user provisioning, deprovisioning, access reviews, and role-based access assignments

• Experience in enterprise-scale Fintech, Banking, or Telecom industries

   

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)

Join a Team Redefining Modern Banking Technology!

Our client is a Swiss bank focused on delivering advanced online trading and financial services. Unlike traditional financial institutions heavily dependent on legacy systems, this bank invests in a lean, modern, and continuously evolving technology stack.

What the Project Is About
The project focuses on building and evolving a large‑scale trading platform used by a wide range of clients - from private investors to active traders.
The platform enables:
* Trading across multiple financial instruments: Shares, ETFs, Options, Futures, Funds, Bonds, CFDs
* Support for complex order types: Market, Limit, FoK, OCO, Trailing, and more
* Order Routing Systems (ORS) that intelligently route trades to the correct broker and marketplace
* FIX‑based integrations with multiple brokers and exchanges
* Direct connectivity and maintenance for key markets: SIX, Eurex, Bern, Scoach
* Tools for internal Derivatives teams to manually manage and recover orders when needed
* Accurate commission calculation and management per order

The platform is business‑critical and operates under strict performance, reliability, and correctness requirements, serving as the backbone of the client's trading ecosystem.

Technology & Engineering Culture
We continuously evolve our systems toward:
* Atomic, independently deployable microservices
* Self‑contained applications with clear ownership
* Dockerized environments
* Automated CI/CD pipelines
Engineering decisions focus on reliability, transparency, and scalability, supporting business‑critical banking systems.

How We Work
Scrum teams of 7-8 cross‑functional engineers. Each team member contributes to both backend and frontend components.

Daily collaboration with client stakeholders through:
* Stand‑ups
* Refinement and design sessions
* Status and planning meetings
Agile best practices applied across delivery

Primary communication tools:
* Microsoft Teams
* Outlook and internal collaboration platforms

What We Offer
+ Professional growth
Local trainings, workshops, and on‑demand webinars
Company‑funded conferences and certifications
+ Competitive compensation
Annual review based on performance and professional development
+ Healthy work-life balance
Team buildings and corporate events
Hackathons and innovation initiatives
A culture that values sustainable delivery

If you are proactive, creative, and motivated by building robust banking systems with real business impact, you will contribute directly to improving both product quality and engineering practices.
Join us and help shape modern banking solutions.

Responsibilities

Design and develop complex product features end‑to‑end, covering frontend, backend, and data layer

Take ownership of larger functional areas or services, ensuring their reliability, performance, and scalability

Contribute to technical design and architectural decisions, including evaluation of trade‑offs and long‑term impact

Develop reusable, maintainable, and well‑tested code following team standards and best practices

Write and maintain unit, integration, and E2E tests to ensure system stability and confident releases

Lead and moderate code reviews, set quality standards, and support the team in complex technical cases

Collaborate with other engineers, product managers, and other stakeholders to shape technical solutions from vague or evolving requirements

Take responsibility for features from early discovery and solution design to production rollout and post‑release support

Identify, prioritize, and systematically reduce technical debt across the codebase, not limited to owned features

Mentor and coach less experienced engineers, supporting their technical and professional growth

Actively participate in Scrum events and client communication, contributing not only status but technical insights and recommendations

Participate in hiring activities, including technical interviews and candidate assessment

Skills

Must have

At least 5 years of recent, proven experience working with Java in a Software Developer/Engineer role

Strong knowledge of Java (11+), core concepts, and modern language features

Solid understanding of OOP/OOD principles and design patterns

Experience with microservices architecture: design, implementation, support, and evolution

Spring Framework (Spring Boot, Spring MVC, Spring Data/JPA)

Design and implementation of RESTful APIs

Unit testing frameworks (JUnit, TestNG, Mockito)

SQL and experience with relational databases (PostgreSQL or Oracle is a plus)

Experience with Git or other distributed version control systems

Understanding of containerization (Docker); CI/CD experience is a plus

Willingness and readiness to work with ReactJS, Redux, TypeScript, HTML, and CSS from day one, with the ability to quickly acquire and apply these skills in daily development

Nice to have

Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field

Experience working in finance or banking domain (enterprise‑scale systems, regulated environments is a plus)

Experience working in Unix/Linux environments

Hands‑on experience with ReactJS, Redux, TypeScript, HTML, and CSS (not required, but will significantly speed up onboarding)

Since 2001, FutureLog has been creating and developing digital procure-to-pay solutions for the hospitality and gastronomy industries.  We are a world-class procurement management platform serving over 10,000 clients across 20+ countries, delivering near real-time reporting with complex data models and advanced permission structures. 
To strengthen our analytics and reporting capabilities, we are looking for a BI Analyst / Reports Engineer who will own the reporting layer of our platform — from identifying business needs to delivering production-ready dashboards and report prototypes. 

This role sits at the intersection of data, product, and operations. You will work closely with product managers, operations teams, and engineers to turn data into actionable insights and well-crafted reports. 

About the Role 

This is not a deep data engineering position. We already have strong SQL and Azure expertise in-house. What we are missing is someone who can own the analytics and reporting function — someone who understands what stakeholders need, can prototype quickly, and communicates clearly across technical and non-technical audiences. 

Key Responsibilities 

• Own end-to-end reporting: gather requirements, design, build, and iterate on dashboards and reports 
• Develop reporting PoCs and MVPs to validate ideas quickly before investing in full solutions 
• Communicate regularly with product managers and operations teams to understand business needs and priorities 
• Collaborate with the engineering team to ensure data availability, accuracy, and pipeline alignment 
• Maintain and improve existing reports for clarity, usability, and performance 
• Translate business questions into SQL queries and visual reports 
• Manage reporting-related tasks and requests via Jira, keeping stakeholders informed on progress and delivery timelines 
• Contribute to defining reporting standards, templates, and best practices across the organization 

Must-Have Skills & Experience 

• 2–4 years of experience in a BI analyst, reporting, or similar analytics role 
• Strong communication skills — ability to explain data findings clearly to both technical and non-technical stakeholders 
• Fluent English (written and verbal) — this is essential for daily cross-team collaboration 
• SQL proficiency at an analyst level — comfortable writing queries, joins, aggregations; deep database engineering knowledge is not required 
• Experience with BI/reporting tools such as Power BI, Google Looker Studio, Tableau, or similar 
• Ability to work independently, prioritize tasks, and manage your own reporting backlog 
• Experience working with product or operations teams in an agile environment 

Nice to Have 

• Power BI experience (our current primary reporting platform) 
• Familiarity with Azure data services or cloud-based data platforms 
• Experience with DAX, Power Query, or similar BI-specific languages 
• Understanding of data modeling 
• Experience in SaaS or enterprise platform environments 
• Exposure to ETL concepts and data pipeline basics (enough to collaborate with engineers, not to build them) 

What We Offer 

• Opportunity to own and shape the reporting function on a large-scale international platform 
• A high-impact role with visibility across product, operations, and engineering 
• Work with complex, real-world datasets serving thousands of enterprise customers 
• Collaboration with experienced engineering, product, and business teams 
• A dynamic and fast-paced international environment 

As a Mobile Automation QA, you will:
Design and implement QA test automation infrastructure and test scenarios for client–mobile–backend systems, including communication between devices, front-end, back-end services, and mobile applications.
Design and execute end-to-end (E2E) tests for iOS and Android, testing new features while focusing on deep internal aspects of the feature and its integration with the operating system.
Learn and adopt new features, technologies, and platforms in a relatively short amount of time (e.g., Bugfender, Raygun, Crashlytics, Datadog).

Requirements:
Bachelor’s degree in Computer Science, Engineering, or another exact science field.
4+ years of experience writing automated tests for mobile devices, preferably using Python (UI automation tests, integration tests).
Experience working with iOS testing tools such as Instruments, XCUITest, XCTest, or Xcode.
Experience working with Android testing tools such as Instrumented Tests, Local Tests, Espresso, or Android Studio.
At least 1 year of experience in automation infrastructure development.
Experience working with RESTful APIs.

Advantage:
Experience writing mobile unit tests on devices or emulators.
Experience with mobile automation frameworks such as Robot Framework or Cucumber using Python – big advantage.
Experience with one of the following systems: AWS Device Farm, Sauce Labs, WebdriverIO, Docker, AWS, Airflow, BrowserStack App Automate.
1 year of manual web testing experience.
Experience working with or building CI/CD pipelines and understanding the mobile automation development cycle (Jenkins, GitHub Actions, Azure AppCenter).
In-depth knowledge of mobile operating systems.
Experience testing Mobile SDKs, location-driven features, NFC, or BLE integrations.
Experience testing battery consumption in background processes.

Project overview

Group107 is looking for a Senior BI Developer to join our team on a long-term project for our client, yellowHEAD. You will become part of yellowHEAD’s technology team and co-own the full Agile lifecycle — development, implementation, maintenance, support, and performance tuning. The role involves close collaboration with marketing units, analysts, account managers, and external stakeholders to design and deliver complex data pipelines, internal reports, and customer-facing dashboards. This is a hands-on senior position with strong influence on the team’s technical direction — we are looking for someone proactive who will push the team forward and uplift its professional level.
 

The role is fully remote with a Sunday–Thursday working schedule.
 

Requirements

• Advanced SQL — query optimization, complex joins, window functions, performance tuning.
• Strong ETL/ELT engineering experience; preferred hands-on with Rivery.
• Deep experience with Google BigQuery — data modeling, partitioning, optimization.
• Strong Python (or equivalent) — capable of building APIs and backend services for data products.
• Experience integrating with third-party APIs (e.g., Facebook, Google, Appsflyer, Adjust).
• Hands-on experience with cloud infrastructure: AWS and/or GCP, plus MySQL.
• Hands-on experience with Looker Studio or other dashboard frameworks.
• Practical experience with AI-assisted coding tools (GitHub Copilot, CodeX, or similar).
• Upper-Intermediate (B2)+ English — strong written, verbal, and presentation skills for direct work with internal teams and external clients.
• Proactive, fearless mindset — comfortable iterating on pipelines and challenging the status quo.
• Strong ownership — capable of pushing the team forward and raising its technical bar.
• Service-oriented approach when working with marketing teams, analysts, and account managers.
• Strong stakeholder management — representative and confident in both internal and external communication.
• Mentorship and collaboration — supports middle developers and contributes to code reviews and design discussions.
• Calm, collaborative temperament; team player.
   

Nice to have

• Experience with Tableau and/or Qlik.
• Frontend development experience (React, Angular, WordPress plugin development).
• AI/ML integration into data pipelines or products — deploying pre-built models, orchestrating model workflows, or embedding AI in data services.
• Experience with R for analytics workloads.
• Background in marketing data / digital advertising domain.
   

Responsibilities

• Design, develop, and optimize end-to-end BI pipelines (ETL/ELT) using Rivery, BigQuery, and SQL.
• Build and maintain data models in BigQuery and BI environments to support reporting, analytics, and product use cases.
• Develop backend services, APIs, and automation in Python to support data products and integrations.
• Maintain ongoing integrations with multiple external data sources (Facebook, Google, Appsflyer, Adjust) on cloud infrastructure (AWS, GCP, MySQL).
• Build and iterate on customer-facing dashboards and internal reports in Looker Studio (and other dashboard frameworks as needed).
• Own performance tuning, code quality, and architectural decisions across BI and non-BI technological projects.
• Mentor middle-level developers, drive engineering best practices, and represent the team to internal and external stakeholders.
   

We offer

• 20 paid vacation days (workdays) per year
• 7 paid sick days per year
• Personalized career growth plan with regular performance reviews
• Education reimbursement — courses, certifications, and conferences
• Corporate events and team-building activities
• Full equipment provided for remote work

We’re expanding the HQ of a Canadian product—an Embedded Vision & Edge AI platform. Our clients include Bosch, Philips, and other global companies. We’re looking for a Sr. Automation Engineer with PyTest, IoT, Networking/Interface/Wi-Fi protocols experience. Great terms offered!

Main Responsibilities

– Develop and Maintain Automation Infrastructure
Design, implement, and manage scalableautomation frameworks to support continuous integration (CI) and continuous deployment(CD) pipelines
– Automation Strategy
Define and implement automation testing strategies, includingidentifying the tools and approaches to optimize the QA process
– CI/CD Integration
Collaborate with DevOps to integrate automated tests into CI/CDpipelines for continuous testing
– Tooling and Framework Selection
Evaluate and select tools and technologies for buildingautomation frameworks (PyTest, Cypress, Appium, etc.) and testing infrastructure
– Monitoring and Reporting
Develop test metrics, monitoring, and reporting dashboards fortracking the health of the automation infrastructure and test results
– Collaboration
Work closely with developers, QA, and DevOps teams to ensure tests areproperly executed in all environments (development, staging, production)
– Scalability
Ensure the automation infrastructure is scalable, maintainable, and efficient tohandle increasing tests across multiple services
– Security and Performance Testing
Work with teams to integrate security and performancetests within the infrastructure
– Troubleshooting
Diagnose and resolve technical issues with automation frameworks andtesting environments

Mandatory Requirements

1. Technical Skills

Automation Framework Expertise: Experience in designing, building, and maintainingautomation frameworks using tools like PyTest or similar frameworks
Programming Skills: Strong proficiency in one or more programming languages used for testautomation – Python, JavaScript
CI/CD Tools: Experience with CI/CD tools like Jenkins, GitHub CI, and integrating tests intothese pipelines
Version Control: Proficiency with Git and Git-based workflows for version control
Cloud Environments: Familiarity with cloud platforms (AWS, Azure, Google Cloud) for testenvironment provisioning and management
Containerization and Virtualization: Experience with Docker, Kubernetes, or virtualized testenvironments to streamline testing
Monitoring and Reporting Tools: Familiarity with reporting tools like Allure, TestNG, orcustom solutions for creating comprehensive test result dashboards
Networking and Communication: Understanding of networking protocols specific to security cameras (ONVIF, RTSP, WebRTC). Familiarity with hardware configurations and power management using PoE for networkedsecurity cameras. Knowledge of the Wi-Fi protocol
Interface Protocols: Experience in interfacing protocols (UART, I2C, SPI)

2. Testing Expertise

Automated Testing Types: Proficiency in different types of automated testing, such as unittesting, functional testing, integration testing, performance testing, and security testing
Test Coverage: Strong understanding of maximizing test coverage, including building testsfor APIs, front-end, and back-end
Performance and Load Testing: Experience with tools like JMeter, Gatling, or LoadRunner toperform performance testing
Cross-Browser/Platform Testing: Experience testing across different browsers, platforms,and devices

3. Educational and Experience Requirements

Education: Bachelor’s degree in Computer Science, Engineering, or a related field (orequivalent experience)
Experience: 5-8 years of experience in QA automation or a similar role, strongly focusing onautomation infrastructure development and management

4. Nice-to-Have

Security Testing: Knowledge of security testing tools like OWASP ZAP, Burp Suite, or similar
Mobile Testing: Experience with mobile test automation frameworks such as Appium orEspresso
Performance Monitoring: Experience with performance monitoring tools like New Relic,Prometheus, or Grafana
Scripting and Shell Programming: Knowledge of shell scripting for automating tasks withinUnix/Linux environments

We offer

– Full-Time
– High salary
– Stock option plan and performance bonuses
– Great team
– Long tern contract
– Benefits package

– Vacation & sick days
– Short and long-term disability insurance
– Life Insurance
– Dental and medical insurance

About the Project

The project is an online platform designed to systematize and manage a comprehensive range of therapies, supporting complex domain logic and long-term product evolution.
The backend is built on a legacy Django-based framework, requiring a senior-level engineer capable of understanding, maintaining, and gradually improving an existing system.

This role is for a highly autonomous Senior Python Developer who will be the sole developer on the project, fully owning the technical direction, daily execution, and system evolution.

👉 Key Responsibilities:

• Take full ownership of the backend system built with Django.
• Translate business requirements into technical solutions and execution plans.
• Maintain and evolve a legacy codebase, improving stability, performance, and maintainability over time.
• Design and implement new features using PostgreSQL, Celery, Redis, and Elasticsearch.
• Proactively identify technical debt and propose pragmatic improvement strategies.
• Use AI tools to improve development efficiency, debugging, and refactoring where appropriate.
• Ensure system reliability, scalability, and long-term sustainability.
   

👉What We’re Looking For:

• 6+ years of professional experience as a Python Developer.
• Strong hands-on experience with Django in production environments.
• Solid knowledge of PostgreSQL, relational data modeling, and query optimization.
• Experience with asynchronous/background processing using Celery and Redis.
• Practical experience with Elasticsearch or similar search technologies.
• Experience in SEO optimization.
• Proven ability to work independently and autonomously as the sole developer on a project.
• Strong business-to-technology translation skills — ability to understand business goals and implement them technically.
• Proactive problem solver who takes ownership and responsibility for outcomes.
   

👉 Ideal Mindset:

• Ownership & Responsibility: You treat the system as “your product.”
• Creative Contributor: You suggest better approaches, not just implement tasks.
• Efficiency through AI: You actively use AI tools to speed up development and problem-solving.
• Passion & Engagement: You care about the product, its users, and its long-term success.

👉 What we offer:
 

📈 Professional Growth opportunities:

• Ambitious goals and interesting projects;
• Regular & transparent performance review and feedback process;
• Possibility for both vertical or horizontal growth (in case you want to try a different path).
   

😌 Comfortable Working conditions

•  Flexible working hours;
• Provision of required equipment;

• Remote working model.

   

🎁 Benefits program

• 18 working days of fully paid vacation;
• Free tax reporting support by our Financial department;
• Help with individual entrepreneurs’ questions and accounting support;
• Financial support and additional days off for various occasions (e.g. marriage, childbirth, etc.).

Responsibilities:

• Design, develop, and maintain interactive dashboards and reports using Power BI.
• Work with business stakeholders to understand reporting needs, define KPIs, and translate business questions into data-driven insights.
• Build and optimize data models, datasets, and reporting layers to support scalable analytics.
• Analyze structured and semi-structured data to identify trends, patterns, risks, and opportunities.
• Develop data-driven solutions, including statistical analysis, forecasting, segmentation, and predictive models where applicable.
• Prepare, clean, transform, and validate data from multiple sources.
• Collaborate with data engineers, backend developers, product teams, and business users to ensure data quality and consistency.
• Automate recurring reporting and analytical workflows where possible.
• Leverage AI-assisted tools to accelerate analysis, improve productivity, and streamline repetitive data tasks.

Requirements:

• 4+ years of experience in data analytics, business intelligence, or data science roles.
• Strong hands-on experience with Power BI, including dashboard development, data modeling, and report optimization.
• Solid knowledge of SQL and experience working with relational databases.
• Experience with data preparation, transformation, and validation.
• Strong understanding of DAX and Power Query.
• Experience defining and tracking business KPIs and analytical metrics.
• Practical experience with Python or R for data analysis, automation, or modeling.
• Understanding of statistical analysis, forecasting, or basic machine learning concepts.
• Ability to communicate complex analytical findings to both technical and non-technical stakeholders.
• Experience working with large datasets and identifying data quality issues.
• Practical hands-on experience with AI-assisted tools such as ChatGPT, Claude, Cursor, GitHub Copilot, or equivalent tools for analytics, coding, documentation, and workflow optimization.

Nice to have:

• Experience with Azure data services, AWS, or other cloud platforms.
• Experience with Microsoft Fabric, Azure Synapse, Databricks, or similar data platforms.
• Experience building predictive models or ML-powered analytics solutions.
• Knowledge of ETL/ELT processes and data warehouse concepts.
• Experience with advanced Power BI performance tuning.
• Familiarity with data governance, access management, and row-level security.
• Experience working in product analytics, finance analytics, marketing analytics, or operational reporting.

Note:

The role description is intentionally high-level at this stage, as some project details are confidential. We will be happy to share more context during the interview process.

Responsibilities:

• Develop and maintain scalable backend services and APIs using Python.
• Build and support backend functionality for AI/ML-enabled products, including integrations with ML models, AI services, and data-driven workflows.
• Design and implement reliable data processing, ingestion, and asynchronous backend flows.
• Work with cloud services and containerized environments to support scalable application delivery.
• Collaborate with cross-functional teams, including front-end developers, DevOps, product, and AI/ML specialists.
• Write clean, maintainable, and testable code following engineering best practices.
• Improve application performance, reliability, monitoring, and fault tolerance.
• Leverage AI-assisted development tools to accelerate delivery, improve code quality, and streamline repetitive engineering tasks.

Requirements:

• 4+ years of professional software engineering experience.
• Strong proficiency in Python and backend development.
• Experience designing and building APIs and backend services.
• Practical experience with AI/ML-related products, such as integrating AI services, ML models, data pipelines, or AI-driven features.
• Experience with relational and/or non-relational databases.
• Understanding of distributed systems, asynchronous processing, queues, or event-driven architecture.
• Hands-on experience with cloud services, preferably AWS.
• Practical hands-on experience with AI prompt engineering, leveraging Claude Code, Cursor, GitHub Copilot, or equivalent developer-AI tools.
• Solid understanding of LLM context design, tool integration, and code-generation workflows.

Nice to have:

• Experience with AWS services such as S3, API Gateway, Lambda, or SQS.
• Experience with Kubernetes in production environments.
• Experience designing data ingestion, replication, or ETL-style pipelines.
• Background in high-throughput backend services or large-scale data processing.
• Experience working closely with ML engineers or data teams.

Note:

The role description is intentionally high-level at this stage, as some project details are confidential. We will be happy to share more context during the interview process.

Although the role is focused on data migration, it is not in the traditional analytics or data science sense. The work involves migrating customer data into an application rather than into a data lake or data warehouse for analytical use. This won't be boring. One month you will be migrating data from Software A, the next from Software B and after that from a custom-built legacy app C, each with its own challenges and trade-offs.

We do understand that very few engineers specialize solely in migrations. So, if you are a software engineer, DB developer or DevOps professional with relevant migration experience, this is a great opportunity to join a serious product used by thousands of companies worldwide and make a real impact.

Requirements

• 2+ years of experience in data migrations.
• Proficiency in SQL.
• Hands-on experience with scripting in Python or Ruby (as popular ETL tools are not widely used in this role).
• Ability to take ownership of tasks with minimal direction and deliver high-quality results in a fast-paced environment.
• Self-starter who can work independently and collaboratively.
• Excellent communication, analytical, and problem-solving skills.
• Advanced level of English.

Responsibilities

• Work with data owners to understand legacy data, gather requirements, and design solutions to meet those needs.
• Produce detailed data mapping documentation.
• Develop and implement tools, scripts, queries, or applications for accessing, analyzing, converting, and migrating data between databases or from CSV files.
• Reverse-engineer data models from other vendors.
• Troubleshoot data quality issues and write scripts to cleanse data.
• Maintain data security, integrity, and availability in production environments.
• Collaborate with the Customer Success team to manage client expectations, communicate timelines, and resolve database issues.
• Serve as the technical point of contact during the migration process.

Nice to have

• Linux experience, including terminal usage and OS-level troubleshooting.
• Bachelor’s degree in Computer Information Systems or a related field.

Working conditions

• Mon — Fri, 8h/day, overlap with EST (US) at least 6 hours.

Interviewing stages

1. In-depth HR interview assessing your soft skills, English proficiency, etc.
2. Interview with CTO (chat + live coding test).
3. Final meet with your team lead (chat + live coding test).

A Senior Java Backend Developer is required to work on a large-scale video streaming platform with DRM, OTT services, and distributed architecture.

The role is focused on backend development, system design, and building reliable, high-load services.

What the role involves

Backend services are designed and developed as the core of the platform, handling users, content, security, and communication between multiple systems

The work directly impacts how video content is securely delivered to users across web, mobile, and TV devices.

Main responsibilities

Design and development of backend services using Java (primary language)

Development and support of REST APIs and microservices

Implementation of authentication, authorization, and access control logic

Work with high-load systems and distributed architecture

Design and optimization of database structures and data replication

Integration with DRM systems and content protection services

Implementation of content lifecycle logic (VOD, live streams, catch-up, user rights)

Ensuring scalability, fault tolerance, and performance

Implementation of monitoring, logging, and system health checks

Collaboration with frontend and infrastructure teams

Tech stack (focus)

Java (Spring / Spring Boot preferred)

REST APIs, microservices

SQL / NoSQL databases

Distributed systems and data replication

Linux-based environments

Nice to have (big advantage)

Experience with video streaming platforms (OTT, IPTV)

Knowledge of DRM technologies (Widevine, PlayReady, FairPlay)

Understanding of HLS / MPEG-DASH streaming

Experience with CDN / media delivery systems

Kotlin experience (optional)

What makes the role interesting

Work on a complex, real-world high-load system

Solving scaling and performance challenges

Building systems combining backend, security, and media streaming

Opportunity to contribute to architecture-level decisions

Candidate profile

Strong experience in Java backend development

Good understanding of system design and microservices

Experience with high-load or distributed systems

Ability to work with complex technical domains

Focus on clean, maintainable, and scalable code

Additional requirements:

English proficiency at B1 level or higher (written and spoken)

Candidate must be located outside of Russia, Belarus, Georgia, Turkey

Client from USA

Client

Our client is a prominent global wealth and asset management firm focused on delivering innovative investment solutions and a networked ecosystem of international opportunities. The organization operates within a highly regulated environment, prioritizing the transformation of complex concepts into actionable financial strategies for a global clientele.

Project overview

The project involves the development and expansion of a centralized, scalable data ecosystem. Having successfully ingested the initial data source, the team is now moving into a high-growth phase to integrate multiple high-value financial and operational data streams. The goal is to provide C-level executives and advisors with a unified, reliable reporting layer for strategic decision-making.

Position overview

As a Senior Data Engineer, you will be a technical cornerstone of the data platform team. You will be responsible for the end-to-end engineering of data pipelines, from ingestion to transformation, ensuring that the Snowflake warehouse is optimized for complex wealth management analytics. You will work at the intersection of sophisticated financial data and enterprise-grade engineering.

Responsibilities

• Design, build, and maintain scalable automated ETL/ELT pipelines to ingest data from diverse sources including Addepar, NetSuite, Salesforce, Morningstar, Bloomberg, and UKG.
• Architect and implement robust data models within Snowflake using DBT (Data Build Tool) to ensure high-performance transformations and clean data structures.
• Utilize Workato to orchestrate seamless integrations between third-party SaaS platforms and the central data warehouse.
• Monitor and optimize Snowflake performance, storage, and compute usage to ensure cost-effectiveness and reliability.
• Partner with Business Analysts and Tableau Engineers to ensure the data layer effectively supports complex business use cases and executive dashboards.
• Implement rigorous data validation and testing frameworks to maintain high data integrity, especially critical given the regulated nature of investment data.

Requirements

• Extensive hands-on experience as a Data Engineer focusing on Snowflake architecture, including advanced performance tuning and security features.
• Proven proficiency with DBT for data transformation and Workato (or similar enterprise integration platforms) for workflow automation.
• Strong ability to understand complex financial datasets and translate business-centric data needs into technical schemas.
• Solid understanding of software engineering best practices, including version control (Git) and CI/CD pipelines for data.
• Exceptional ability to communicate technical concepts effectively with both business stakeholders and cross-functional technical teams.

Nice to have

• Experience supporting reporting requirements for Tableau-based visualization layers.
• Experience within the Wealth Management or Investment Management sector, with specific familiarity handling investment and portfolio-related data.
• Understanding of regulatory requirements regarding financial data handling and privacy.
• Background in integrating market data providers such as Bloomberg or Morningstar.
• Advanced SQL skills and experience with Python for data engineering tasks.

We are looking for a Computer Vision Engineer with solid ML/DL experience to join our team on challenging projects.
We consider engineers at Middle and Senior levels - tasks and responsibilities will be adjusted accordingly. 

Required Qualifications:

• 3+ years of experience in computer vision
• High proficiency in Python
• Strong experience with deep learning and the PyTorch framework for computer vision tasks
• Research experience in computer vision with a focus on delivering results
• Ability to work independently or within a small team, with a strong sense of ownership over results

Nice to Have:

• Experience with deep learning solutions for detection, tracking, image retrieval, and segmentation tasks
• Understanding of geometric computer vision principles
• Model optimization: quantization, pruning, neural network compilers
• Hands-on experience implementing low-level CV algorithms
• Experience with sensor fusion (IMU, magnetometer, GNSS, camera)
• Knowledge of C++

• We are seeking a skilled Regular - Senior Web Graphics Developer to join our team in the oil and gas industry. The ideal candidate will have extensive experience in developing advanced web-based visualizations and a deep understanding of industry standards. This role requires proficiency in HTML5 Canvas, Angular, RxJS, Angular Signals and NgRx along with a strong grasp of the graphics rendering pipeline. Additionally, the candidate should possess general cloud development skills and backend expertise, including microservices architecture and experience with AWS and Azure.

• Responsibilities:

  • Design, develop, and maintain interactive web-based visualization tools for oil and gas data.
  • Implement advanced graphics rendering techniques using HTML5 Canvas
  • Collaborate with geologists, engineers, and other stakeholders to understand visualization requirements and deliver effective solutions.
  • Ensure visualizations are optimized for performance and scalability.
  • Stay up-to-date with industry standards and best practices in web visualization and graphics rendering.
  • Integrate visualization tools with existing data management systems and workflows.
  • Develop and maintain backend services using microservices architecture.
  • Utilize cloud platforms such as AWS and Azure for deployment and management of visualization tools.
  • Provide technical guidance and mentorship to junior developers.

   

• Mandatory Skills Description:

  • 4+ years in Graphics development, with a strong emphasis on web-based Visualization applications and tools.
  • Proven experience in web-based visualization development, particularly in the oil and gas industry.
  • Strong proficiency in Angular 16+, RxJs, Angular Signals, NgRx
  • Strong proficiency in HTML5 Canvas
  • In-depth knowledge of the graphics rendering pipeline.
  • Proficiency in cloud platforms such as AWS and Azure.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.
  • Ability to work independently and as part of a team.

   

• Nice-to-Have Skills Description:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Spatial geometry thinking, basic math
  • Familiarity with Three.JS, Pixi.JS or WebGL is a plus.
  • Experience with backend development and microservices architecture.

   

• Languages:
  • English: B2 Upper Intermediate