Jobs

🌍 Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

🧩 About the Product:

We are building an AI-first platform that fuses multiple maritime data sources into a unified operational picture. The system builds a digital twin of global maritime activity, applies behavioral analytics and predictive AI models to surface smuggling, illegal fishing, container risk, and other compliance or security threats, and presents mission-grade intelligence to both commercial and government stakeholders. 

🌟 About the Role:

We are looking for a Senior Full Stack Developer to own end-to-end features across frontend and backend services within a microservices ecosystem. This is a true full-stack role, with a relatively balanced split between backend (Node.js) and frontend (React.js) responsibilities.

You will collaborate closely with data science, DevOps, full-stack, and product teams to turn prototypes into scalable, production-ready services. 

📈 Key Responsibilities:

• Design, implement, and maintain microservices in JavaScript/TypeScript, ensuring high performance, reliability, and scalability.
• Develop and optimize frontend interfaces using React and GraphQL.
• Work with modern databases (MongoDB, DocumentDB, SingleStore) and messaging systems (Kafka, AWS SNS/SQS).
• Proactively audit and refactor existing services, leveraging AI agent workflows, MCP configurations, and structured documentation to improve architecture and consistency.
• Use AI-assisted development tools (e.g., Claude Code or similar) daily to boost productivity, code quality, and development velocity.
• Participate in architectural discussions and contribute to long-term technical roadmap decisions.
• Collaborate with data science and research engineers to integrate AI models and geospatial analysis pipelines into production services.
• Define and promote internal coding standards, reusable design patterns, and shared libraries across teams.
• Communicate effectively with product owners, support teams, and cross-functional stakeholders to align on requirements and technical trade-offs.

💻 Required Competence and Skills:

• 5+ years of professional experience in JavaScript/TypeScript, covering both frontend and backend development.
• At least 6 months of hands-on experience building features with AI agent coding tools (Claude Code, Codex, Cursor, etc.), including MCP, custom .md files, and subagent workflows.
• Strong production experience with Node.js and modern frontend frameworks (React.js). 
• Proven track record in a microservices architecture and service-to-service communication patterns
• Expertise in SQL and NoSQL databases (MongoDB, Amazon DocumentDB, SingleStore, etc).
• Experience working in cloud environments (preferably AWS).
• Familiarity with GraphQL API design and implementation.
• Advanced English communication skills, both verbal and written, with the ability to engage non-engineers

➕ Nice to Have:

• Experience with Kafka and SNS / SQS.
• Experience with geospatial analysis, GIS concepts, or integration of satellite data streams
• Background in complex domains (e.g., defense, sanctions, compliance, logistics).
• Prior experience with Kubernetes, Spark, Java-based backend components and building reusable internal platforms.

🚀 Why Us:

- We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

- We provide full accounting and legal support in all countries we operate.

- We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

- We offer a highly competitive package with yearly performance and compensation reviews.

About AIstats

AIstats is transforming the football data market by moving from 2D to 3D, powered by a cutting-edge Computer Vision and Machine Learning ecosystem that unlocks deep insights for both fans and professionals.

What we build

Advanced Football Analytics — a mobile app for football fans an— a mobile app for football fans and bettors that reached 100k MAU in less than a year, featuring advanced statistics powered by our proprietary ML and Computer Vision technologies.

Advanced Analytics for Football Clubs — a next-generation analytics platform helping football clubs, scouts, and agents make smarter decisions both on the pitch and in the transfer market. Thanks to our early leadership in skeletal tracking data, AIstats secured several Tier-1 club partnerships within months of launching the platform.

Responsibilities

• Develop and improve statistical and machine learning models
• Analyze large-scale datasets using Python and SQL
• Conduct statistical analysis, hypothesis testing, and experiment evaluation
• Build interpretable ML solutions and explain model behavior
• Collaborate with cross-functional teams on data-driven initiatives

Requirements

• 3+ years of experience as a Data Scientist
• Strong Python skills with NumPy, Pandas, and scikit-learn
• Solid SQL knowledge; R is a plus
• Strong understanding of probability theory and mathematical statistics
• Experience with statistical testing: t-test, χ², ANOVA, Mann-Whitney, Wilcoxon, KS test, bootstrap/permutation tests, Bonferroni and FDR corrections
• Hands-on experience with XGBoost, LightGBM, and CatBoost
• Understanding of Bayesian methods
• Experience with longitudinal/panel data, mixed/fixed/random effects models, and repeated measures
• Experience with interpretable ML approaches: GAM, SHAP, partial dependence, counterfactual analysis

Nice to Have

• Experience with deep learning: Transformers, attention mechanisms, RNN/LSTM
• Knowledge of Graph Neural Networks
• Experience with Reinforcement Learning: PPO, MAPPO, MAT, multi-agent RL
• Familiarity with Google Research Football or similar environments
• Advanced Bayesian statistics: PyMC, Stan, numpyro, MCMC, hierarchical models
• Experience with causal inference: DAGs, instrumental variables, difference-in-differences
• Knowledge of probabilistic spatial models: Markov chains, HMM/DBN, MRF/CRF, Gaussian processes

What we offer

• Fully remote work format;
• Flexible start of the working day and convenient schedule;
• Stable competitive salary pegged to the USD;
• 24 days of paid vacation and 15 additional paid days off (including sick leave, corporate holidays, and national/religious holidays);
• Friendly communication culture, great product, and transparent processes;
• Dynamic work environment with a passionate team that loves sports and technology;
• Opportunities for professional growth and career development;
• No micromanagement — just trust, autonomy, and freedom to experiment.

Join our team and help drive innovation in the football industry!

We are looking for a strong Computer Vision and Geospatial AI engineer to work on an AI product in the defence tech domain. The project is long-term and technically challenging

Responsibilities

• Development and optimization of the Computer Vision pipeline
• Working with video streams and processing low-quality video input
• Implementation of cross-view feature matching and image retrieval
• Building and indexing a georeferenced tile database
• Object georeferencing and spatial analytics
• Optimization of inference latency and performance
• Participation in system architecture design

Requirements

Must-have

• 4+ years of experience in Computer Vision / Deep Learning
• Hands-on experience with geo-localisation, place recognition, or image retrieval
• Feature extraction with foundation models: DINOv2, CLIP, or equivalent
• Keypoint detection and matching: LightGlue, LoFTR, DISK, SuperPoint
• Contrastive / metric learning: InfoNCE, triplet loss, hard negative mining
• Homography estimation and geometric verification
• Experience with satellite imagery and geospatial data
• Coordinate systems, tile indexing, GDAL
• Vector search: FAISS or other ANN libraries
• Python, PyTorch at production level
• Experience with video pipelines
• Linux, Docker

Nice to have

• PhD in Computer Vision, Photogrammetry, Remote Sensing, Geomatics, or Robotics
• Publications in cross-view localisation, visual SLAM, or UAV navigation
• Experience with degraded or compressed video
• TensorRT, ONNX, edge deployment
• CUDA
• Background in defence, aerospace, or robotics

We are looking for someone who

• Can work not only with ML models but also with production systems
• Can independently build a pipeline and make technical decisions
• Has a practical engineering mindset
• Reads and implements recent research papers
• Understands performance bottlenecks

Tech stack

Python, PyTorch, DINOv2, CLIP, LightGlue, LoFTR, FAISS, GDAL, FFmpeg, Docker, Linux

Work format

• Remote
• Full-time or B2B contract
• Long-term project
• Competitive salary, discussed individually

Domain experience is a plus

• Defence tech
• Drone systems
• Satellite imagery / Remote sensing
• Visual geo-localisation
• ISR / geospatial analytics

We are looking for a strong Computer Vision and Geospatial AI engineer to work on an AI product in the defense tech domain. The project is long-term and technically challenging

Responsibilities

• Development and optimization of the Computer Vision pipeline
• Working with video streams and processing low-quality video input
• Implementation of cross-view feature matching and image retrieval
• Building and indexing a georeferenced tile database
• Object georeferencing and spatial analytics
• Optimization of inference latency and performance
• Participation in system architecture design

Requirements

Must-have

• 4+ years of experience in Computer Vision / Deep Learning
• Hands-on experience with geo-localisation, place recognition, or image retrieval
• Feature extraction with foundation models: DINOv2, CLIP, or equivalent
• Keypoint detection and matching: LightGlue, LoFTR, DISK, SuperPoint
• Contrastive / metric learning: InfoNCE, triplet loss, hard negative mining
• Homography estimation and geometric verification
• Experience with satellite imagery and geospatial data
• Coordinate systems, tile indexing, GDAL
• Vector search: FAISS or other ANN libraries
• Python, PyTorch at production level
• Experience with video pipelines
• Linux, Docker

Nice to have

• PhD in Computer Vision, Photogrammetry, Remote Sensing, Geomatics, or Robotics
• Publications in cross-view localisation, visual SLAM, or UAV navigation
• Experience with degraded or compressed video
• TensorRT, ONNX, edge deployment
• CUDA
• Background in defense, aerospace, or robotics

We are looking for someone who

• Can work not only with ML models but also with production systems
• Can independently build a pipeline and make technical decisions
• Has a practical engineering mindset
• Reads and implements recent research papers
• Understands performance bottlenecks

Tech stack

Python, PyTorch, DINOv2, CLIP, LightGlue, LoFTR, FAISS, GDAL, FFmpeg, Docker, Linux

Work format

• Remote
• Full-time or B2B contract
• Long-term project
• Competitive salary, discussed individually

Domain experience is a plus

• Defense tech
• Drone systems
• Satellite imagery / Remote sensing
• Visual geo-localisation
• ISR / geospatial analytics

🌍 Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

🧩 About the Product:

We are building an AI-first platform that fuses multiple maritime data sources into a unified operational picture. The system builds a digital twin of global maritime activity, applies behavioral analytics and predictive AI models to surface smuggling, illegal fishing, container risk, and other compliance or security threats, and presents mission-grade intelligence to both commercial and government stakeholders. 

🌟 About the Role:

As a Senior Backend (Java) Engineer, you will own the end-to-end development of core data processing services within our maritime intelligence platform. 

You will collaborate closely with data scientists, analysts and software engineers to design and implement scalable microservices and streaming solutions. Leveraging AWS, Spring Boot and Kafka, you’ll tackle technical challenges around high-throughput ingestion, low-latency processing and data integrity.

📈 Key Responsibilities:

• Develop robust, high-performance backend services using Java and Spring Boot.
• Implement real-time data streaming solutions with Apache Kafka.
• Design, build and maintain scalable data pipelines for collection, processing and transformation from diverse sources.
• Leverage AWS services for data storage, processing and analytics following security and performance best practices.
• Monitor, troubleshoot and optimize service performance to identify and eliminate bottlenecks.
• Ensure data integrity, reliability and availability through effective ETL processes and quality checks.
• Drive improvements in architecture, code quality and automation across the backend codebase.

💻 Required Competence and Skills:

• At least 5 years of professional experience as a Backend Engineer.
• Proficiency in Java and Spring Boot within a microservices architecture.
• Experience implementing and operating Kafka streaming solutions.
• Practical knowledge of AWS for data storage, processing and analytics.
• Strong problem-solving skills with attention to detail.
• Ability to work independently, challenge decisions and lead technical discussions.
• Excellent communication skills for cross-team collaboration.
• Bachelor’s degree in Computer Science, Engineering or a related field.

➕ Nice to Have:

• Experience designing and building ETL processes for data transformation and integration.
• Familiarity with Apache Spark for large-scale data processing.
• Practical agentic AI experience (Claude Code or alternatives) utilizing MCP, custom .md files, and orchestrating subagent workflows.
• Knowledge of Python or Node.js for supporting integration tasks.
• Prior work with maritime, geospatial, defense or logistics domains.

🚀 Why Us:

- We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

- We provide full accounting and legal support in all countries we operate.

- We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

- We offer a highly competitive package with yearly performance and compensation reviews.

Hello, buddies 👋 Step into a world of endless opportunities and exciting challenges 🚀

We’re on the hunt for an exceptional Product Manager to join our dynamic team.

🧲 Magnetics is an innovative company that thrives on delivering excellence. We specialize in UX-UI, front-end development, market research, product marketing, media advertising, and affiliate marketing. Our journey began in 2014, and we've been dedicated to pushing boundaries ever since.

Requirements:
— 3+ years of Product Manager experience  in gray niches;
— Knowledge of UI/UX principles;
— Knowledge of product analytics within the domain context;
— Strong cross-functional management skills;
— Understanding of key product and business metrics, ability to make decisions based on them;
— Experience in increasing product conversion rate (CRO);
— Experience in developing websites on different CMS and platforms (setting tasks for developers, designers and QA);
— Experience in managing product backlog and setting priorities aligned with business objectives and team capacity;
— Ability to forecast and plan tasks within sprints, and across monthly and quarterly cycles.

Responsibilities:
— Product development and optimization;
— Tracking, analyzing, and improving product metrics, including conversion rate, LTV, ARPU, and retention rate;
— Driving the formation of the product roadmap based on strategy and data, and presenting it for business approval;
— Implementing technical development according to the roadmap, assigning and overseeing tasks for tech, design, payment, content, and other departments;
— Full ownership of the product backlog;
— Collaborating with the retention department to implement customer retention mechanics;
— Understanding and managing payment systems and flows;
— Regular monitoring and analysis of competitors’ products to identify and implement competitive advantages;
— Experience in designing bonus systems will be considered a plus, but is not a core responsibility.

What we offer:
🧲Office in Kyiv or remote;
🧲We cover 50% of the cost for individual courses, training, and language programs;
🧲We cover 100% of the cost for team courses;
🧲Free consultations with our lawyers and an additional 50% discount on any type of legal services;
🧲Health insurance;
🧲Flexible schedule;
🧲Regular salary reviews;
🧲Team buildings in Ukraine.

We’re looking for an experienced Odoo Consultant to join our ERP implementation team. Whether you are looking for a stable full-time career move or a part-time project-based collaboration, we offer a flexible environment where your expertise will directly impact business growth.

This role is your opportunity to build a high-profile international portfolio. You’ll fast-track your professional growth by consulting directly with established US enterprises, mastering their business logic, and leading the deployment of high-stakes Odoo solutions.

What you’ll actually be doing:
- Analyzing client workflows and identifying optimization opportunities within Odoo
- Running discovery workshops and gathering business requirements
- Designing and configuring Odoo modules based on real business needs
- Preparing clear functional specifications for the development team when customization is required
- Coordinating with the dev team on integrations and custom features
- Overseeing data migration (ensuring data mapping and validation are spot on)
- Training key users and ensuring smooth system adoption
- Documenting functional workflows and instructions

We’re looking for someone who:
- Has 3+ years of real Odoo implementation experience (Odoo 16+ preferred)
- Understands core Odoo modules (Sales, Purchase, Inventory, Accounting, CRM)
- Knows how to talk to business users and translate their needs into system logic
- Has strong communication skills and can explain complex concepts in clear, simple language
- Can work independently and take ownership
- Speaks English at an advanced level

Sounds like a match? Drop us your CV, and let’s talk!

We are looking for a Senior Web Designer who combines strong visual craft and product thinking to design high-converting web experiences that drive measurable acquisition results. You will join our cross-functional acquisition team alongside product managers, product analysts, and developers, where modern web design directly shapes how potential users discover our product and convert into registered users. You will also collaborate closely with marketing designers to integrate brand illustrations, photography, and visual assets across web surfaces.

In this role, you will design and optimize our key acquisition surfaces (websites, landing pages, and registration flows), conduct qualitative research to understand visitor behavior, and translate insights into design improvements. You will set the visual direction for our web presence, influence design decisions, shape the product experience, and deliver measurable results for both the people who use our product and the company.

Responsibilities

• Design and evolve our key company websites with strong visual craft, with hand-off to WordPress developers for our main sites and to frontend developers for custom-built landings
• Design and continuously optimize registration and authentication flows (social logins via Google, Apple, and similar) within the existing product design system, focusing on reducing drop-off and improving completion rates
• Build user flow maps and user journey maps to visualize and improve the acquisition experience end to end
• Conduct qualitative user research, including session recording analysis, heatmap reviews, user interviews, and usability testing, to uncover insights and inform design decisions
• Create app store creatives, including screenshots, feature graphics, and listing assets for App Store and Google Play
• Compose visually compelling layouts with strong typography, hierarchy, and visual rhythm
• Collaborate with marketing designers and other creative team members to integrate brand illustrations, photography, and visual assets into web layouts
• Adapt designs for multiple regions and languages, ensuring layouts, typography, and content systems work effectively across different markets and locales
• Ensure accessibility and responsiveness across different devices, adhering to brand guidelines and the product design system
• Document design decisions and guidelines for accurate implementation

Requirements

• 4+ years of experience designing landing pages, marketing websites, and registration flows
• Background that includes hands-on work with conversion metrics, A/B tests, qualitative research, and cross-functional collaboration with product managers and analysts
• Portfolio with recent (last 1 to 2 years) landing pages, marketing websites,home pages and registration flows demonstrating modern visual craft and conversion-focused thinking
• Strong visual design skills (typography, color theory, layout, hierarchy, composition) with a clear sense of modern web design trends and references
• Proficiency in Adobe Creative Suite (Photoshop, Illustrator) for visual design, asset preparation, and image editing
• Hands-on experience improving registration and sign-up flows by identifying friction through qualitative research and shipping iterative improvements
• Experience designing for acquisition, growth, or conversion-focused contexts with measurable impact
• Good qualitative research skills, including session recording analysis, heatmap interpretation, user interviews, and usability testing, with the ability to translate observations into actionable design hypotheses
• Proficiency in building user flow maps and user journey maps to visualize and communicate complex flows
• Experience creating app store creatives (screenshots, feature graphics, listing assets) for App Store and Google Play, with familiarity with ASO visual best practices
• Practical experience designing for both WordPress (page builders like Elementor or Gutenberg, reusable block patterns, dynamic content) and custom frontend hand-off, with basic knowledge of HTML, CSS, and JavaScript for effective collaboration with developers across both stacks
• Proficiency in designing responsive user interfaces for web and mobile, grounded in user-centered design principles and information architecture
• Experience working within established design systems (components, tokens, guidelines) and proficiency in Figma for prototyping and rapid iteration
• Experience designing for multi-language and multi-regional products, with understanding of how localization affects layout, typography, content density, and visual hierarchy
• Proficient English skills (B2+ level) both written and spoken, with strong communication, teamwork, and a user-focused mindset with attention to detail

Will be a plus

• Experience working with FinTech products
• Illustration skills, with the ability to create custom illustrations or thoughtfully compose layouts using existing illustration assets
• Experience designing gamification mechanics
• Experience creating microinteractions and lightweight UI animations (Lottie, After Effects, Rive, or similar tools)
• Experience using AI-powered tools (Midjourney, Krea, Runway, Figma AI plugins, Claude, or similar) in your design workflow

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)

Are you passionate about building scalable, reliable data systems that power real-world solutions? 

We are looking for a Senior Scala Developer to join our team and work remotely from Europe, Ukraine, or LATAM.

At Sigma Software, we partner with innovative companies to deliver cutting-edge technology solutions. This role offers the opportunity to design and operate a canonical data platform that integrates diverse external data sources, ensuring high quality and flexibility.

Why join us? You’ll work with modern technologies, collaborate with talented professionals across multiple regions, and have the freedom to experiment and innovate while contributing to impactful projects in the AdTech domain.

Customer

Our client is a fast-growing AdTech company focused on solving real-world challenges in digital advertising and data-driven marketing. They specialize in building highly resilient and scalable systems that encourage experimentation and innovation. Their data platform is designed to be both powerful and flexible, enabling engineers to introduce new ideas and leverage the latest technologies to optimize advertising performance and audience insights.

Project

The project involves developing and maintaining a canonical data platform that integrates multiple external data sources. It supports both full data loads and incremental updates, ensures high data quality, and leverages AI-assisted tools for monitoring and issue detection.

Key Technologies: Java, Scala, SQL, GCP Dataflow, REST APIs, AI-assisted tools, event-driven architectures

Responsibilities

• Design, build, and maintain reliable data pipelines to ingest and process data from external systems
• Implement integrations using Scala, ensuring scalability and resilience
• Handle both full data loads and incremental updates efficiently
• Collaborate with engineering and product teams to align on integration and data needs
• Develop and maintain a unified internal data model
• Ensure data quality, detect and resolve incorrect or incomplete data
• Utilize AI-assisted tools to improve data quality and operational efficiency
• Monitor and optimize data pipelines for production readiness

Requirements

• At least 5 years of experience as a Data Engineer or Backend Engineer
• Strong production experience with Java or Scala
• Proven experience integrating external systems via REST APIs (pagination, rate limiting, token-based authentication)
• Strong data modelling skills with structured, relational data
• Solid SQL knowledge
• Experience with GCP Dataflow
• Experience operating data pipelines in production environments
• Strong communication skills and ability to collaborate across teams
• At least an Upper Intermediate level of English

WILL BE A PLUS:

• Experience with event-driven architectures or messaging systems
• Designing canonical schemas across multiple data sources
• Experience with LLM (Large Language Models)

Personal Profile

• Proactive and detail-oriented
• Thrives in collaborative environments
• Enjoys solving complex integration challenges
• Comfortable experimenting with new technologies
• Committed to improving data systems

A US-based IT service company is seeking an experienced Financial Controller with strong US GAAP expertise. In this role, you will own the end-to-end accounting operations and financial reporting across a multi-entity international business (US, UK, HK, SG), ensuring accurate consolidation, strong internal controls, and compliance with US GAAP.

This is a hands-on managerial role where you will lead a team of 8 people and work closely with the Director of Finance to support financial reporting, process improvements, and strategic decision-making across the business.

COMPANY 
Atlas Technica is a fast-growing US-based tech company, founded in New York in 2016 and focused on providing IT services to the hedge fund sector. The company has scaled rapidly and now has 200+ engineers across 10+ locations globally.
 

Location/Type: Remote
Hours: EST inclined
Reports to: Director of Finance
 

RESPONSIBILITIES:

• Close & Financial Reporting
  • Lead monthly, quarterly, and annual close; prepare and review journal entries, reconciliations, and consolidations in accordance with US GAAP
  • Own company-wide reporting — income statement, balance sheet, cash flow, variance analyses, and management reporting packages
• Accounts Payable, Receivable & Treasury
  • Oversee AP/AR, credit and collections, vendor management, and billing accuracy; drive DSO and working capital improvements
  • Manage treasury and cash flow forecasting; monitor liquidity, banking relationships, and covenant compliance
• Controls, Compliance & Audit
  • Establish and continuously improve internal controls, accounting policies, and SOPs; maintain audit readiness
  • Coordinate and lead external audits; manage auditor requests, PBC lists, and issue resolution
  • Ensure tax compliance across sales/use, property, payroll, and income tax in coordination with external advisors
• Technical Accounting
  • Lead revenue recognition compliance (ASC 606), including contract review, performance obligations, and variable consideration
  • Manage fixed assets, capitalization policies, lease accounting, and depreciation schedules
  • Oversee payroll accounting and benefits-related entries
• Systems & Process Improvement
  • Evaluate and optimize automation across close, AP/AR, expense management, and fixed assets; partner with IT/Finance on ERP configuration and integrations
• Strategic Finance Support
  • Support M&A diligence and integrations, including opening balance sheet and purchase accounting
  • Provide budget vs. actual analyses, departmental spend tracking, and support annual planning and rolling forecasts in partnership with FP&A

• Team Leadership & Strategic Partnership

  • Mentor, develop, and scale the accounting team; set priorities and quality standards
  • Serve as a strategic partner to the Director of Finance on accounting impacts of business decisions, risks, and opportunities

   

REQUIREMENTS

• Bachelor’s degree in Accounting, Finance, or related field; CPA/ACCA strongly preferred.
• 8+ years of progressive accounting experience with at least 3 years in a supervisory or Controller/Assistant Controller capacity and management experience.
• Deep knowledge of US GAAP, accounting policy, and internal controls; and audit best practices.
• Advanced Excel/Sheets skills for modeling, reconciliations, and analyses; data hygiene and process mindset.
• Excellent communication, stakeholder management, and team leadership skills; ability to translate accounting impacts for non-finance audiences.
• High level of integrity, judgment, logic, attention to detail, and commitment to deadlines.
• Experience in multi-state operations, multi-entity consolidations, and intercompany eliminations.
• Background in services, SaaS, or subscription/recurring revenue models.
• Prior involvement in M&A integration, purchase accounting, and system migrations.

WE OFFER:

• Direct long-term contract with a US-based company
• Full-time remote role 
• B2B set-up via SP (ФОП in $USD)
• Competitive compensation
• Annual salary reviews and performance-based bonuses
• Company equipment provided for work
• Professional, collaborative environment with the ability to influence strategic decisions
• Opportunities for growth within a scaling global organization

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Job Description:

Are you in search for a new challenge? Are you equipped with forward looking spirit and experienced in digital design flows and tools? Design-for-Test (DFT) is a multi-disciplinary field of growing complexity which involves cooperation among multiple VLSI engineering skills, including design, architecture, verification, backend, timing, test, ATE and reliability and more. Take the opportunity and join us as a Senior DFT Engineer.

Presently we expand our Ukraine VLSI team. You'd be able to work on projects in one team with Ukrainian engineers. Our Senior stuff is open for knowledge sharing on a daily basis.

Your Role:

• DfT implementation inline with existing test methodology for advance process nodes;
• Perform top and/or block-level DFT insertion: scan compression, (i)JTAG, ATPG, patterns validation/simulation, MBIST/LBIST;
• Closely work with physical design team to resolve timing constraints/issues;
• Verify DFT circuitry and interface with other components/IPs and debug timing simulation issues;
• Debug and improve important DfT KPIs: test coverage/pattern efficiency;
• Hierarchical retargeting;

• Silicon bring-up, diagnosis and support for physical failure analysis.

   

Desired Qualifications/Skills:

• 5+ years of hands-on experience with DFT and test flows with commercial EDA tools for large and complex SOCs;
• Strong fundamental knowledge of DFT techniques including JTAG, ATPG, yield learning, logic diagnosis, Scan compression, IEEE 1500 Std. and MBIST/LBIST;
• Experience with one of the main EDAs providers: Synopsys DFT Complier, Tetramax, VCS, Tessent and Modus/Encounter tool suite;
• Experience in RTL simulation, synthesis, Linting, CDC and RDC checks, STA, DFT, quality metrics is a plus;
• Hands-on in Perl/Tcl/Python scripting;

• Excellent analytical, and problem-solving skills.

   

What you will love about working here?

• We care about all our employees and want them to feel as comfortable as possible. That's why we offer health insurance from the first days, regardless of the probationary period.
• The Gift from the Company - Christmas holidays from December 25 to December 31.

• Cooperation with Superhumans center and Veteran HUB. Capgemini Engineering has supported the launch of psychological rehabilitation department of Superhumans. Our team also donated over UAH 500 000 prosthetics for three Ukrainian defenders. Currently, we support psychological counseling provided by the Veteran Hub, and we have implemented an internal policy making the company friendly to military and veterans with the assistance of the Hub.

   

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

We are looking for a Senior Data Engineer to join the Identity team at Equals5. This is not a standard ETL role. We are building a dynamic data ecosystem where AI is deeply integrated—both as a productivity multiplier and as a core component of our data processing logic for identity data enrichment and data scoring.

You will own the infrastructure that handles over 10,000 executions per minute, ensuring stability, scalability, and data integrity. You will work with a modern stack on Google Cloud Platform, utilizing Cloud Functions and Kubernetes.

We are looking for an engineer who improves infrastructure, automates everything, and is eager to implement LLM-based logic directly into high-load data flows.
 

Responsibilities

• AI-Driven Data Scoring: Design and implement pipelines that utilize LLMs to analyze and score identity data in real-time. You will integrate AI models directly into the decision-making loop, balancing accuracy with latency and cost.
• Own the Data Architecture: Architect scalable data solutions using GCP and Python. You will manage data storage and retrieval using BigQuery and Apache Iceberg to support querying of TBs of data.
• Heavy Data Processing: Utilize Apache Spark for data transformations and batch processing when lightweight cloud functions are not enough.
• Manage High-Load Orchestration: Maintain and optimize our system instances. It involves complex dataflows, custom Python nodes, and performance tuning for 10k+ execs/minute.
• Release Lifecycle (CI/CD): Take ownership of the deployment process, ensuring that updates to pipelines and infrastructure are released safely with proper testing and rollback strategies.
• Database Optimization: Manage PostgreSQL performance under heavy load, optimizing complex queries and indexing strategies.
• Active AI Usage: Use Claude Code and other AI engineering tools to accelerate your own development, refactoring, and testing processes.
• Incident Resolution: Proactively monitor the system. When alerts fire, you investigate the root cause—whether it’s a database lock or an LLM hallucination—and fix it permanently.
   

Requirements

• 4-5+ years of experience in Data Engineering or Backend Engineering with a strong data focus.
• Production AI Integration: Experience integrating LLMs (OpenAI, Anthropic, Gemini) into production applications via API. You understand latency, token limits, and how to structure data for AI scoring.
• Expertise in GCP: Understanding of Google Cloud Platform (Cloud Functions, IAM, Networking).
• Strong Python: You write clean, efficient, and testable code. You are comfortable building custom logic where standard tools fall short.
• Big Data Stack: Experience with BigQuery, Apache Spark, and modern table formats like Apache Iceberg.
• Kubernetes (K8s): Experience deploying and scaling services in containerized environments.
• Workflow Automation: Understanding of workflow orchestration tools at a deep technical level. N8N is a big part of our domain, so familiarity with it is highly valuable.
• PostgreSQL Mastery: Proven ability to handle heavy write/read loads and optimize schemas.
• English: B2+ (Upper-Intermediate) or higher.
   

Culture & Mindset

• Self-improvement: You are a fast learner. You don't fear AI replacing you; you master it to replace your manual tasks.
• Ownership: You treat the Identity domain as your own business. If a scoring model drifts or a pipeline slows down, you notice it and fix it without being asked.
• Internal Locus of Control: You take responsibility for outcomes. If an external API fails, you build a fallback mechanism instead of just blaming the provider.
• Get It Done: You prioritize shipping value. You know when to use a simple script and when to build a complex architecture.
• Openness: You share knowledge freely. If you find a better way to prompt the AI for scoring, you share it with the team.
   

What We Offer

• Fully remote with flexible hours (aligned with EU timezones for syncs).
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech for both daily coding and product features.
• High-Impact Role: You will directly influence how we identify and score users, impacting the core business logic.
• Cross-functional visibility: Work closely with Product and Tech Leads to shape the future of Identity.
• No Bureaucracy: Fast decisions, no legacy processes, focus on results.

We are looking for a Data / Backend Engineer to architect and scale the core data infrastructure behind our healthcare marketing platform. In this role, you will design high-throughput data systems that process millions of behavioral events, power real-time attribution and user scoring, and enable precise targeting of healthcare professionals across 20+ channels.

You will work at the intersection of data engineering, backend systems, and marketing infrastructure, building scalable pipelines, tracking systems, and APIs that support analytics, segmentation, and campaign activation. The role also involves experimenting with AI-powered automation and agent-based workflows to improve internal operations and product capabilities.

This is a high-ownership position where you will shape architecture decisions, build critical platform components from the ground up, and help evolve our data platform as the company scales.

Responsibilities

- Architect and own data-heavy backend systems powering real-time attribution, user modeling, and scoring

- Build and evolve client-side tracking pixels (like FB pixel / Amplitude snippet / Heap autocapture) from scratch

- Set up and manage scalable ETL workflows: cleaning, merging, enriching, splitting, transforming across millions of behavioral events
Lead the build of CDP / CDXP-style data layers to support segmentation, scoring, and activation across channels

- Connect and compose systems using modern low-code / no-code tools (n8n) to accelerate ops

- Implement and maintain high-availability APIs for analytics, scoring, and campaign delivery

- Drive experimentation around AI-powered agents and automation tools that can boost internal workflows

Requirements

- System Design & Data Architecture:
Designs scalable, event-driven data platforms with strong decoupling, fault tolerance, and horizontal scalability. Builds real-time and batch pipelines using lakehouse architectures and streaming systems (Kafka / PubSub).

- Distributed Data Processing (Spark / BigQuery / Iceberg):
Expert in large-scale data processing, query optimization, and cost-efficient analytics. Deep understanding of Spark execution, partitioning, and modern table formats (Iceberg / Delta).

- Cloud & Infrastructure (GCP / Kubernetes):
Builds resilient cloud-native data platforms on GCP and Kubernetes using IaC, autoscaling, and secure access (IAM, Workload Identity).

- Python Engineering:
Develops high-performance Python services for data and ML workloads with focus on concurrency, clean architecture, and production-grade quality.

- Databases & Performance (PostgreSQL / OLTP):
Optimizes high-throughput OLTP systems through indexing, partitioning, and query analysis (EXPLAIN ANALYZE, MVCC).

- Reliability & Observability (SRE):
Implements resilient data systems with idempotency, retries, observability, SLOs, and incident management.

- AI / LLM Integration:
Integrates LLMs into production pipelines with structured outputs, caching, batching, prompt versioning, and evaluation.

- Workflow Orchestration (Airflow / Dagster):
Designs scalable DAG-based workflows with dependency management, retries, and reproducible backfills.

- CI/CD & DevOps for Data:
Implements safe deployments for data systems including schema migrations, canary releases, and data contracts.

- Ownership & Engineering Maturity:
Owns end-to-end production systems and architecture decisions while balancing delivery speed, quality, and technical debt.

Nice-to-have: 

- Experience in MarTech / AdTech platforms (e.g., DSPs, attribution systems, DMP/CDP tools)

- Deep knowledge of data matching/fingerprinting techniques (identity graphs, IP + UA resolution, hashed PII workflows)

- Strong prompt engineering skills — not just ChatGPT 101, but chaining, system prompting, tooling integration

What We Offer
- Fully remote with flexible hours (aligned with EU timezones for syncs).
- Influence on quality strategy across the entire engineering organization.
- A cross-team role with visibility into every part of the product.
- AI-first tooling.
- Claude Code licenses and cutting-edge AI development workflows. 
- A team with no bureaucracy, decisions are made fast.

About the Company

A growth equity investment firm focused on partnering with software and technology-enabled services businesses to accelerate expansion, support strategic initiatives, and build stronger teams. The firm typically works with management teams in growth-stage companies and helps drive both organic growth and acquisition-led expansion.

Role Overview

We are looking for Data Engineer / Analytics Engineer contractors who can embed within portfolio teams to produce reporting cubes and revenue analytics deliverables. Ideal candidates will bring a blend of technical depth, commercial awareness, project management skills, and preferably SaaS domain expertise.

What You'll Be Doing

• Embed within portfolio company data teams as a contractor
• Build and deliver data pipelines from raw source data to clean, validated output tables
• Produce reporting cubes and revenue analytics deliverables
• Reconcile pre- vs. post-migration data to maintain analytical continuity
• Translate business questions into technical implementations

Requirements

• Hands-on Technical Builder — Proficient in Python and SQL. Able to independently architect and deliver data pipelines from raw source data through to clean, validated output tables.
• Commercially Oriented — Ideally 2+ years in a consulting, advisory, or deal-support environment (e.g. Big 4, boutique analytics consultancy). Comfortable translating business questions into technical implementations.
• System & Data Migration Experience — Has worked on ERP, CRM, or billing platform migrations (e.g. Salesforce, NetSuite, Chargebee). Understands data quality pitfalls — duplicate customers, broken historical linkages — and knows how to reconcile pre- vs. post-migration data to maintain analytical continuity.
• Accounting or SaaS Exposure — Either an accountant by trade or someone with SaaS revenue analytics exposure. Familiar with subscription metrics (ARR, NRR, churn), snowballs, and billings-to-revenue reconciliations.

Candidate Requirements

• Ukrainian native speaker
• English proficiency: C1 or higher
• Remote — candidates located anywhere are welcome to apply

We are seeking a Top-Tier Senior DevOps Engineer to serve as a cornerstone of the Customers Area development team. You will be responsible for the end-to-end reliability, scalability, and automation of our next-generation CRM and Communication Platform. You will bridge the gap between development and operations, implementing robust CI/CD frameworks and platform-engineering standards that ensure high availability in a regulated production environment.

Core Responsibilities

• Architectural Excellence: Design, deploy, and maintain scalable cloud infrastructure utilizing advanced Infrastructure as Code (IaC) methodologies.
• Pipeline Engineering: Build and optimize sophisticated CI/CD pipelines to accelerate deployment cycles while maintaining strict security and quality gates.
• Reliability & Performance: Act as a lead SRE in production, performing root cause analysis, managing incident resolution, and optimizing system observability.
• Strategic Alignment: Collaborate directly with platform teams and stakeholders to advocate for and implement organizational DevOps best practices.
• Operational Autonomy: Operate independently within a regulated environment, ensuring compliance and platform stability.

Technical Requirements 

• Cloud Infrastructure: Expert-level proficiency in AWS (IaaS).
• Infrastructure as Code: Advanced experience with Terraform and Terragrunt.
• DevOps/SRE Operations: Deep hands-on experience in platform engineering, CI/CD automation, and large-scale incident management.
• Production Readiness: Exceptional ability to troubleshoot complex production environments and conduct systematic post-incident analysis.
• Communication: Professional fluency in English; demonstrated ability to manage stakeholder expectations in high-stakes environments.

Preferred Technical Competencies

• Expertise in Kubernetes and advanced observability tooling (e.g., Prometheus, Grafana, ELK/Datadog).
• Deep knowledge of Amazon Connect or similar Contact Center/CRM ecosystems (e.g., Salesforce integration).
• Proven track record in mentoring junior engineering talent and driving technical excellence across teams.