Adaptiq

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 Role:

We’re in search of a self-driven individual to support our growing operations in Poland and Ukraine.

Our future PE Accountant is comfortable with communicating with people across teams and departments, is able to solve problems and improvise as needed, and knows how to effectively estimate and manage time spent on a variety of tasks. If you’re a natural coordinator with a sense of “big picture” objectives and an eye for detail, there’s never been a better time to put your skills to use.

Objectives and Responsibilities

• Full-cycle management and support of 110 PEs in Ukraine and Georgia
• Supervision of PE management in Poland and Romania via external vendors
• Monthly payslip and payroll administration
• Full-cycle contracting of new hires

• Primary banking documentation check

   

Qualifications:

• This is not your first job in the Ukrainian and IT PE Accounting fields
• Focus on details is your default condition
• Proven ability to collect and analyze data and report on measurable results
• Excellent writing and communication skills
• Proven problem solving nature and ability
• English level: upper intermediate and above (both, spoken and written)
• Spoken Polish is an advantage

• Strong knowledge of Google Drive (Sheets, Docs, Slides)

   

Why Join Us?

✨Flexibility to fit your lifestyle: We’re a fully remote-first company, giving you the freedom to work from anywhere in the world, whether you prefer the comfort of your home, digital nomad lifestyle, or co-working space of your choice.

🚀Unique growth journey: From soft-skills courses, certifications, and English classes to performance and annual compensation reviews, we’re committed to helping you grow.

🧘‍♀️Holistic well-being: Enjoy healthcare coverage, 20 vacation days, short summer Fridays, an additional Birthday day off, home office or coworking budgets, and well-being programs to balance work and life.

🎉Community where you matter: From monthly Happy Hours and personal milestone celebrations to annual offsites, we foster connections and cheer each other on every step of the way.

🤝Shared purpose in action: We build Adaptiq together, stay aligned through All Hands meetings, and contribute to Ukraine’s victory through regular CSR initiatives.

🌍 Adaptiq, on behalf of AppsFlyer, is looking for a Data Engineer

🧩 About AppsFlyer:

AppsFlyer provides a SaaS marketing analytics platform that measures and optimizes marketing activities across mobile, web, CTV, PC, and console applications. AppsFlyer is known for its massive backend production. At any given moment, thousands of servers are consuming 150+ billion mobile app events, crunching our users’ data, serving requests, and communicating on a massive scale.

To maintain the universe we call AppsFlyer, we practice modern production operations with a complete self-serve CI/CD platform, a highly integrated observability stack for our micro-services, backends, and infrastructure, a culture of ownership and eagerness for quality.

The Analytics group is responsible for showing our clients the stories their data is telling. Through complex aggregation, mission-tailored analytical databases, and carefully crafted APIs we are able to provide slice-and-dice analysis in our beautiful dashboards and through the use of external integrations.

🌟 About the Role:

As a Data Engineer within the Analytics group at AppsFlyer, you will own the end-to-end journey of event data - from ingestion and processing to storage, modeling, and API delivery. 

You will design and implement data pipelines using Apache Airflow and Spark, choose and optimize analytical databases, and integrate new components in our hybrid microservices environment. You will collaborate with product managers and cross-functional teams, troubleshoot production incidents, and influence our migration toward Google Cloud and BigQuery. This role offers autonomy over feature design, real impact on a platform handling billions of events daily, and the chance to contribute to open-source projects or speak at industry forums.

📈 Key Responsibilities:

• Develop and maintain data processing pipelines using Apache Airflow, Scala Spark or PySpark.
• Select, model and optimize analytical databases for high-throughput, low-latency queries.
• Design and implement backend services and APIs for data ingestion, aggregation and client consumption.
• Monitor system performance and stability; diagnose and resolve production issues.
• Collaborate with product managers and engineers to plan and deliver complex features.
• Drive migration efforts to Google Cloud Platform, BigQuery and modern data tooling.
• Participate in on-call rotations, alerting via PagerDuty and incident response procedures.
• Document system architecture and data flows; maintain code quality and tests.

💻 Required Competence and Skills:

• 3+ years of software development experience with a focus on data engineering.
• Practical experience with Apache Spark (Scala or PySpark) and Apache Airflow.
• Experience building and maintaining high-throughput, low-latency distributed data systems.
• Strong SQL skills and experience with data modeling for analytics workloads.
• Familiarity with JVM languages (Scala, Java, Clojure) or Python for backend development.
• Experience with cloud platforms - preferably GCP - and data warehouses such as BigQuery.
• Proven ownership of production systems and on-call incident management.
• Excellent communication skills in English for distributed teamwork.
• B.Sc. in Computer Science or equivalent practical experience.

➕ Nice to Have:

• Production experience with large-scale databases and ETL tooling.
• Hands-on background in Go or Clojure backend services.
• Experience with production-grade BigQuery ETL and data pipelines.
• Contribution to open-source projects or public speaking at meetups/conferences.
• An “AI mindset” - familiarity with tools like GitHub Copilot and emerging AI workflows.

🚀 Benefits Package includes:

• Health Insurance
• Paid Unlimited Vacation Days + all national holidays + additional recharge days
• Meals Reimbursement
• Sport Reimbursement
• Breakfast in the office
• Mental health program
• Team building, happy hours, and other team activities
• Paid sick days
• Snacks, fruits & ice-cold beer
• All new team members are provided with a brand-new Mac laptop with 2 monitors and a Starter package

🌍 Adaptiq, on behalf of AppsFlyer, is looking for a Data Engineer

🧩 About AppsFlyer:

AppsFlyer provides a SaaS marketing analytics platform that measures and optimizes marketing activities across mobile, web, CTV, PC, and console applications. AppsFlyer is known for its massive backend production. At any given moment, thousands of servers are consuming 150+ billion mobile app events, crunching our users’ data, serving requests, and communicating on a massive scale.

To maintain the universe we call AppsFlyer, we practice modern production operations with a complete self-serve CI/CD platform, a highly integrated observability stack for our micro-services, backends, and infrastructure, a culture of ownership and eagerness for quality.

The Analytics group is responsible for showing our clients the stories their data is telling. Through complex aggregation, mission-tailored analytical databases, and carefully crafted APIs we are able to provide slice-and-dice analysis in our beautiful dashboards and through the use of external integrations.

🌟 About the Role:

As a Data Engineer within the Analytics group at AppsFlyer, you will own the end-to-end journey of event data - from ingestion and processing to storage, modeling, and API delivery. 

You will design and implement data pipelines using Apache Airflow and Spark, choose and optimize analytical databases, and integrate new components in our hybrid microservices environment. You will collaborate with product managers and cross-functional teams, troubleshoot production incidents, and influence our migration toward Google Cloud and BigQuery. This role offers autonomy over feature design, real impact on a platform handling billions of events daily, and the chance to contribute to open-source projects or speak at industry forums.

📈 Key Responsibilities:

• Develop and maintain data processing pipelines using Apache Airflow, Scala Spark or PySpark.
• Select, model and optimize analytical databases for high-throughput, low-latency queries.
• Design and implement backend services and APIs for data ingestion, aggregation and client consumption.
• Monitor system performance and stability; diagnose and resolve production issues.
• Collaborate with product managers and engineers to plan and deliver complex features.
• Drive migration efforts to Google Cloud Platform, BigQuery and modern data tooling.
• Participate in on-call rotations, alerting via PagerDuty and incident response procedures.
• Document system architecture and data flows; maintain code quality and tests.

💻 Required Competence and Skills:

• 3+ years of software development experience with a focus on data engineering.
• Practical experience with Apache Spark (Scala or PySpark) and Apache Airflow.
• Experience building and maintaining high-throughput, low-latency distributed data systems.
• Strong SQL skills and experience with data modeling for analytics workloads.
• Familiarity with JVM languages (Scala, Java, Clojure) or Python for backend development.
• Experience with cloud platforms - preferably GCP - and data warehouses such as BigQuery.
• Proven ownership of production systems and on-call incident management.
• Excellent communication skills in English for distributed teamwork.
• B.Sc. in Computer Science or equivalent practical experience.

➕ Nice to Have:

• Production experience with large-scale databases and ETL tooling.
• Hands-on background in Go or Clojure backend services.
• Experience with production-grade BigQuery ETL and data pipelines.
• Contribution to open-source projects or public speaking at meetups/conferences.
• An “AI mindset” - familiarity with tools like GitHub Copilot and emerging AI workflows.

🚀 Benefits Package includes:

• Health Insurance
• Paid Unlimited Vacation Days + all national holidays + additional recharge days
• Meals Reimbursement
• Sport Reimbursement
• Breakfast in the office
• Mental health program
• Team building, happy hours, and other team activities
• Paid sick days
• Snacks, fruits & ice-cold beer
• All new team members are provided with a brand-new Mac laptop with 2 monitors and a Starter package

About AppsFlyer:

AppsFlyer provides a SaaS marketing analytics platform that measures and optimizes marketing activities across mobile, web, CTV, PC, and console applications. AppsFlyer is known for its massive backend production. At any given moment, thousands of servers are consuming 150+ billion mobile app events, crunching our users’ data, serving requests, and communicating on a massive scale.

To maintain the universe we call AppsFlyer, we practice modern production operations with a complete self-serve CI/CD platform, a highly integrated observability stack for our microservices, backends, and infrastructure, and a culture of ownership and eagerness for quality.

The Analytics group is responsible for showing our clients the stories their data is telling. Through complex aggregation, mission-tailored analytical databases, and carefully crafted APIs, we are able to provide slice-and-dice analysis in our beautiful dashboards and through the use of external integrations.

About the Role:

As a Data Engineer(Big Data) within the Analytics group at AppsFlyer, you will own the end-to-end journey of event data - from ingestion and processing to storage, modeling, and API delivery. 

You will design and implement data pipelines using Apache Airflow and Spark, choose and optimize analytical databases, and integrate new components in our hybrid microservices environment. You will collaborate with product managers and cross-functional teams, troubleshoot production incidents, and influence our migration toward Google Cloud and BigQuery. This role offers autonomy over feature design, real impact on a platform handling billions of events daily, and the chance to contribute to open-source projects or speak at industry forums.

Key Responsibilities:

• Develop and maintain data processing pipelines using Apache Airflow, Scala Spark or PySpark.
• Select, model and optimize analytical databases for high-throughput, low-latency queries.
• Design and implement backend services and APIs for data ingestion, aggregation and client consumption.
• Monitor system performance and stability; diagnose and resolve production issues.
• Collaborate with product managers and engineers to plan and deliver complex features.
• Drive migration efforts to Google Cloud Platform, BigQuery and modern data tooling.
• Participate in on-call rotations, alerting via PagerDuty and incident response procedures.
• Document system architecture and data flows; maintain code quality and tests.

Required Competence and Skills:

• 3+ years of hands-on experience building and operating production Big Data systems
• 2+ years of proven experience designing, developing, and maintaining large-scale distributed data processing pipelines
• Strong practical experience with distributed data processing technologies such as Apache Spark or equivalent Big Data frameworks.
• Experience with workflow orchestration tools such as Apache Airflow or similar.
• Strong SQL skills and experience designing data models for analytical workloads.
• Familiarity with JVM languages (Scala, Java, Clojure) or Python for backend development.
• Experience working with cloud platforms and modern data warehouses like Google Cloud Platform and BigQuery or similar.
• Experience owning production systems, including monitoring, troubleshooting, and responding to production incidents.
• Strong communication skills and ability to collaborate effectively within distributed engineering teams.
• B.Sc. in Computer Science or equivalent practical experience.

Nice to Have:

• Production experience with Google BigQuery, including ETL pipelines and analytical workloads.
• Experience developing backend services in Go or Clojure.
• Experience contributing to open-source projects or presenting at technical conferences or meetups.
• An AI mindset, including practical use of tools such as GitHub Copilot, Cursor, ChatGPT, or similar AI-assisted development workflows.

Benefits Package includes:

• Health Insurance
• Paid Unlimited Vacation Days + all national holidays + additional recharge days
• Meals Reimbursement
• Sport Reimbursement
• Breakfast in the office
• Mental health program
• Team building, happy hours, and other team activities
• Paid sick days
• Snacks, fruits & ice-cold beer
• All new team members are provided with a brand-new Mac laptop with 2 monitors and a Starter package

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:

Our client develops a large-scale mission-critical digital platform for enterprise logistics and e-commerce fulfillment. It orchestrates dispatch, routing, and real-time tracking across multiple fleet types (owned, third-party, crowdsourced, autonomous) and integrates with upstream order and supply systems. 

The platform processes millions of transactions annually for global brands and leverages modern cloud technologies, distributed systems, and AI-driven decision-making to ensure high performance, scalability, and reliability.

About the Role:

As an Application Support Engineer, you will be responsible for investigating and resolving technical and product-related issues for enterprise international customers, owning case resolution from initial report through root cause analysis and functional validation.

You’ll collaborate with Customer Success, Product Specialists, and Engineering teams to troubleshoot incidents in web and mobile applications, REST APIs, and backend services, perform root cause analysis and continuously improve platform reliability within a fast-paced production environment.

This role offers ownership of incident management processes, opportunities to improve support workflows, and direct impact on product stability and customer satisfaction.
You will operate within a shift-based schedule (including nights and weekends) across a fully remote setup.

Key Responsibilities:

• Respond to and resolve L2/L3 application support requests from enterprise customers via ticketing system.
• Perform deep investigations and root cause analysis using SQL queries, log files, and debugging tools.
• Validate reported issues through functional testing and confirm fixes across web and mobile platforms.
• Manage incident lifecycle: prioritize cases, coordinate communications, and escalate critical bugs to R&D.
• Provide clear, timely updates and technical guidance to both technical and non-technical end users.
• Monitor customer usage and system performance to proactively identify and address potential issues.
• Assist in onboarding customers by explaining configuration options and relevant product features.
• Document troubleshooting steps, known issues, and best practices for internal knowledge bases and customer-facing materials.
• Contribute to continuous improvement of support processes, tools, and training programs.
• Operate on a rotating shift schedule, covering nights and weekends as part of a support team.

Required Competence and Skills:

• Minimum 3 years of L2 or L3 application support experience in a high-availability environment.
• Intermediate proficiency in SQL for querying relational databases and analyzing data issues.
• Hands-on experience debugging and integrating with RESTful APIs, including request/response analysis.
• Technical support experience with both web and mobile platforms in enterprise software contexts.
• Strong English communication skills, both written and verbal, for customer-facing interactions.
• Ability to work effectively under pressure and manage multiple concurrent priorities.
• Fully remote location within Ukraine, with reliable internet, backup power, and ability to work shifts.

Nice to Have:

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.

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 developing a security and compliance platform that helps organizations identify, prioritize, and remediate security risks across employee devices. The solution scans endpoints for vulnerabilities, missing patches, and security configuration issues, processes large volumes of device and security data, and enables automated remediation.
The product is built on a distributed, data-intensive architecture that combines backend services, data processing pipelines, and endpoint agents. The platform requires high scalability, reliability, and efficient data processing to support complex security and compliance workflows. 

 

About the Role:

As a Senior Backend Engineer, you will take end-to-end ownership of the core backend components in our compliance platform. In this individual contributor role, you will shape the architecture of the real-time telemetry pipeline, back-end services, data models, and risk-scoring engine. You will translate product and business requirements into technical trade-offs, propose simple solutions that work at scale, and challenge assumptions early in the design process. 

This position offers the opportunity to make high-impact architectural decisions and drive the technical direction of a mature, growing security product.

Key Responsibilities:

• Design and implement distributed backend services for real-time telemetry ingestion and risk scoring across thousands of endpoints.
• Build and maintain event-driven streaming pipelines using Kafka - from topic design and partitioning to consumer groups and delivery guarantees.
• Define data models and persistence strategies on PostgreSQL and Redis, optimizing for latency, consistency, and throughput.
• Write, analyze, and tune complex SQL queries; improve query plans, indexing, and overall database performance.
• Develop and maintain large-scale data processing environments, focusing on scalability, reliability, and cost efficiency.
• Identify bottlenecks in pipelines and services, and implement improvements for performance and stability.
• Translate business needs into technical requirements and influence product and architectural roadmaps.
• Collaborate with DevOps on CI/CD pipelines, container orchestration, observability, and production reliability.

Required Competence and Skills:

• 8+ years of backend development experience, including scalable distributed systems that process large volumes of data.
• Advanced hands-on expertise in TypeScript and Node.js, with strong knowledge of backend architecture and service design.
• Hands-on experience with event-driven/streaming architectures, ideally with Kafka (topic design, partitioning, consumer groups, delivery guarantees).
• Advanced knowledge of PostgreSQL and Redis, including query optimization, indexing, and performance tuning.
• Good understanding of cloud environments (Azure preferred; AWS is also relevant), containers (Docker/Kubernetes), CI/CD, observability, and general DevOps concepts, with hands-on experience using these tools in day-to-day development.
• Hands-on experience using AI tools in software development, with the ability to critically evaluate and validate AI-generated output.
• Strong product mindset and the ability to make sound technical decisions based on both engineering requirements and business needs.

Nice to Have:

• Background in information security, endpoint security, or compliance.
• Familiarity with edge-deployed agents and device-to-cloud communication.
• Experience integrating AI/LLM capabilities into backend systems.

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.

Who We Are

Adaptiq is a technology hub that builds, scales, and supports R&D teams for innovative, fast-growing product companies across various industries.
 

About the Product

Our client is a product-focused technology company building a cloud-native platform that helps organizations create, integrate, and operate secure applications powered by blockchain and distributed ledger technologies.

The platform includes scalable backend services, APIs, and infrastructure components designed for high-load, production-grade environments. The engineering team develops resilient distributed systems and blockchain-based services, solving complex challenges around scalability, availability, performance, and security.

You will work closely with product, platform, infrastructure, and security teams to deliver reliable software used in business-critical environments.

About the Role

We are looking for a Senior Backend Engineer to develop and maintain scalable backend services for blockchain-based applications and distributed systems.

You will work with microservices, APIs, asynchronous communication, event-driven architectures, and integrations with multiple blockchain ecosystems. The role provides full ownership of backend components, from technical design and implementation to deployment, monitoring, and further optimization.
 

Key Responsibilities

- Design and implement scalable backend services for blockchain-enabled applications and distributed systems.
- Develop and support APIs, microservices, and core platform components throughout the full software development lifecycle.
- Build integrations with blockchain networks, external infrastructure, and third-party platforms.
- Research and evaluate new blockchain technologies and architectural solutions.
- Improve the scalability, reliability, performance, and security of production systems.
- Collaborate with product, platform, infrastructure, and security teams to deliver production-ready solutions.
- Take full ownership of features, from initial design to deployment and continuous improvement.
 

Required Skills and Experience

- 7+ years of professional experience in backend software development.
- Strong commercial experience with Node.js and TypeScript.
- Proven experience designing scalable backend services, APIs, and production-grade microservices.
- Solid knowledge of distributed systems, asynchronous communication, and event-driven architectures.
- Commercial experience working with several blockchain ecosystems, including both EVM-compatible and non-EVM networks.
- Good understanding of blockchain principles, transaction processing, smart contracts, and decentralized architectures.
- Strong knowledge of secure software design and reliable production system development.
- Practical experience using AI-assisted engineering tools such as Claude Code, Cursor, GitHub Copilot, or similar.
- Bachelor’s degree in Computer Science or a related technical discipline, or equivalent practical experience.
- Demonstrated ability to deliver software from technical design through production deployment.

Nice to Have

- Experience developing products within high-scale distributed platforms, fintech, or cloud-native environments.
- Familiarity with cloud infrastructure, containerization, and Kubernetes.

Why Join Us

- 20 paid vacation days per calendar year, in addition to the official public holidays of your country of residence.
- Full accounting and legal support in all countries where we operate.
- Fully remote work, including a powerful workstation and access to a co-working space when needed.
- Competitive compensation with annual performance and salary reviews.
 

Adaptiq, on behalf of AppsFlyer, is looking for a Data Engineer

About AppsFlyer (Kyiv):

AppsFlyer provides a SaaS marketing analytics platform that measures and optimizes marketing activities across mobile, web, CTV, PC, and console applications. AppsFlyer is known for its massive backend production. At any given moment, thousands of servers are consuming 150+ billion mobile app events, crunching our users’ data, serving requests, and communicating on a massive scale.

To maintain the universe we call AppsFlyer, we practice modern production operations with a complete self-serve CI/CD platform, a highly integrated observability stack for our micro-services, backends, and infrastructure, a culture of ownership and eagerness for quality.

The Analytics group is responsible for showing our clients the stories their data is telling. Through complex aggregation, mission-tailored analytical databases, and carefully crafted APIs we are able to provide slice-and-dice analysis in our beautiful dashboards and through the use of external integrations.

About the Role:

As a Data Engineer in AppsFlyer’s Analytics group, you will be responsible for the full lifecycle of event data — from ingestion and processing to storage, modeling, and delivery through APIs.

You will build and maintain data pipelines with Apache Airflow and Spark, evaluate and optimize analytical databases, and integrate new components within a hybrid microservices architecture. You will work closely with product managers and cross-functional engineering teams, handle production issues, and take part in the company’s migration toward Google Cloud and BigQuery.

This role provides a high level of ownership over feature design, direct impact on a platform processing billions of events every day, and opportunities to contribute to open-source initiatives or share expertise at industry events.
 

Key Responsibilities:

• Develop and support data processing pipelines using Apache Airflow, Scala Spark, or PySpark.
• Select, design, and optimize analytical databases for high-volume, low-latency queries.
• Build backend services and APIs for data ingestion, aggregation, and customer-facing data consumption.
• Monitor system reliability and performance, investigate issues, and resolve production incidents.
• Partner with product managers and engineering teams to plan, design, and deliver complex features.
• Support migration initiatives to Google Cloud Platform, BigQuery, and modern data technologies.
• Participate in on-call rotations, PagerDuty alerts, and incident response processes.
• Document architecture, data flows, and technical decisions while maintaining high code quality and test coverage.
   

Required Competence and Skills:

• 3+ years of software development experience with a strong focus on data engineering.
• Hands-on experience with Apache Spark, using either Scala or PySpark.
• Practical experience with Apache Airflow.
• Background in building and maintaining distributed data systems with high throughput and low latency.
• Strong SQL knowledge and experience with data modeling for analytical use cases.
• Experience with JVM-based languages such as Scala, Java, or Clojure, or Python for backend development.
• Experience with cloud platforms, preferably GCP, and data warehouses such as BigQuery.
• Proven ownership of production systems, including on-call responsibilities and incident management.
• Strong English communication skills for working in a distributed environment.
• B.Sc. in Computer Science or equivalent practical experience.
   

Nice to Have:

• Production experience with large-scale databases and ETL tools.
• Hands-on experience with backend services written in Go or Clojure.
• Experience building production-grade BigQuery ETL processes and data pipelines.
• Contributions to open-source projects or experience speaking at meetups, conferences, or industry events.
• An AI-oriented mindset, including familiarity with tools such as GitHub Copilot and modern AI-assisted workflows.
  
  Benefits Package:
• Health insurance.
• Paid unlimited vacation days, national holidays, and additional recharge days.
• Meal reimbursement.
• Sport reimbursement.
• Breakfast in the office.
• Mental health program.
• Team buildings, happy hours, and other team activities.
• Paid sick leave.
• Snacks, fruits, and ice-cold beer in the office.
• Brand-new Mac laptop, two monitors, and a starter package for every new team member.

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're building an AI-powered Product Intelligence platform used by leading consumer goods manufacturers and retailers to transform fragmented product data, customer reviews, and market signals into actionable business insights. It's a large-scale, data-intensive product with modern engineering challenges around data processing, scalability, performance, and AI-powered analytics. 
The system enriches tens of millions of SKUs with thousands of attributes at the UPC level and ties that data to demand trends and sentiment signals. The platform combines demand analysis, consumer insights, and product intelligence to help global brands make smarter product decisions. 

About the Role:

As a Full Stack Engineer on this platform team, you will own the end-to-end delivery of key features across a modern TypeScript ecosystem. From schema design and data modeling in PostgreSQL to building interactive React interfaces, you will shape each stage of the software lifecycle. 

You'll use AI-assisted coding tools as part of your daily workflow while maintaining full ownership of code quality and delivery. Working in a small, cross-functional team, alongside product managers, data engineers, and delivery leads, helping shape AI-driven development best practices while delivering reliable, maintainable software at high velocity. 

Key Responsibilities:

• Own the end-to-end delivery of product features, from requirements gathering through design, implementation, testing, and production monitoring.
• Build scalable backend services using Node.js, TypeScript, NestJS, and PostgreSQL.
• Develop modern, responsive user interfaces with React and the latest frontend technologies.
• Leverage AI coding tools (Claude Code, Cursor, GitHub Copilot) to accelerate development while maintaining high code quality.
• Write and maintain automated test suites with Vitest and Playwright to ensure feature reliability.
• Conduct thorough code reviews, keeping an eye on observability and performance in production.
• Collaborate closely with product, data, and engineering teams to deliver impactful features in a fast-paced environment.

Required Competence and Skills:

• At least 4 years of professional full stack experience building production web applications.
• Expertise in TypeScript across both frontend and backend codebases.
• Proficiency with React ecosystem (hooks, state management) and modern frontend tooling.
• Experience building backend services with Node.js and its frameworks
• Strong SQL skills and experience with PostgreSQL or an equivalent relational database.
• Hands-on experience using AI coding tools (Claude Code, Cursor, GitHub Copilot, or similar) as part of your daily development workflow.
• Experience delivering production-ready features end-to-end, including testing and code reviews.
• Excellent communication skills, ability to work autonomously and constructive approach to code review and technical discussions.

Nice to Have:

• Experience building AI/LLM-powered features (RAG, AI agents, prompt engineering, or streaming).
• Familiarity with Google Cloud Platform, NestJS, or monorepo environments.
• Experience working on data-intensive, analytics, or AI-driven products.
• Knowledge of Redis, observability tools (OpenTelemetry), or modern CI/CD practices.

Why Us:

- We provide 20 days of vacation leave per calendar year (plus official national holidays of the 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.

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:

The product is an advanced monitoring and analytics platform designed for complex hardware systems. It collects data from embedded components and applies large-scale analytics and machine learning to provide visibility into performance, quality, and reliability across the full lifecycle — from development and production to real-world operation.

The platform helps customers detect potential failures earlier, optimize system performance, and improve overall product quality. It operates in complex technical environments and is supported by distributed systems, CI/CD processes, infrastructure automation, and monitoring tools.
 

About the Role:

As a Senior C++ Software Engineer, you will join a core product team and take ownership of cross-platform, multi-architecture C++ modules used in advanced data processing and analytics systems.

You will be part of a small and independent team that owns a customer-facing product end to end. The role combines hands-on C++ development, system design, performance optimization, CI/CD automation, and integration with customer environments.

You will work closely with software engineers, hardware specialists, algorithm developers, and product stakeholders, contributing to both technical implementation and product evolution.
 

Key Responsibilities:

• Design and develop cross-platform C++ software for Linux and Windows environments.
• Build and maintain interfaces and language bindings using Python, Java, and C#.
• Participate in the full software development lifecycle: design, implementation, integration, testing, deployment, and maintenance.
• Work with build systems and CI/CD pipelines using CMake, Bash, Docker, and GitHub Actions.
• Optimize performance, memory usage, and responsiveness of host-based and edge systems.
• Review code, maintain coding standards, and contribute to technical documentation.
• Collaborate with distributed engineering teams and support customer integrations.
• Troubleshoot technical issues in lab, production, and customer environments.
• Create and maintain design documentation, test plans, and implementation specifications.
• Implement and validate complex algorithms developed by in-house algorithm teams.
   

Required Skills and Experience:

• 7+ years of hands-on experience in production-grade C++ development using C++11/14/17.
• Experience developing software for both embedded and host-based systems.
• Strong experience with build systems, automation, and CI/CD tools such as CMake, Bash, Docker, and GitHub Actions.
• Solid understanding of data structures, algorithms, version control, performance optimization, and testing methodologies.
• Experience building cross-platform software for Windows and Linux.
• Strong focus on code quality, clean conventions, documentation, and maintainability.
• Good communication skills and the ability to collaborate with distributed teams and customers.
• Strong written and spoken English.
• Bachelor’s degree in Electrical Engineering, Computer Engineering, Software Engineering, Mathematics, Computer Science, or a related field.
   

Nice to Have:

• Experience with Python, Java, or C# for application integration.
• Familiarity with SQLite3 for embedded or application-level database use.
• Experience with SWIG for generating C++ bindings for higher-level languages.
• Hands-on experience with post-silicon testing or automated test equipment such as Advantest or Teradyne.
   

Why Join Us:

• 20 working days of vacation per calendar year, plus official public holidays in your country of residence.
• Full accounting and legal support in the countries where we operate.
• Fully remote work model.
• Powerful workstation and access to a co-working space if needed.
• Competitive compensation package with annual performance and salary reviews.

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. 

Operating at global scale, the platform processes millions of events and terabytes of geospatial data daily, relies on cloud infrastructure and microservices, and integrates with upstream research prototypes from data science teams. 

About the Role:

You will join an autonomous team building agentic AI capabilities within a production-grade maritime intelligence platform.

As a Senior AI Engineer, you will design, build, and deploy production-grade AI systems powered by LLMs, autonomous agents, and retrieval-augmented generation (RAG). You'll work across the full AI application lifecycle - from experimentation and prompt engineering to scalable deployment, evaluation, monitoring, and continuous improvement.

You'll collaborate closely with platform engineers, researchers, and product teams to transform AI prototypes into reliable, secure, and scalable production systems.

 

Key Responsibilities:

• Design, build, and deploy production-grade AI applications using LLMs, RAG, and agentic workflows.
• Build and optimize autonomous AI agents capable of planning, using tools, making decisions, and solving complex operational tasks.
• Integrate foundation models and LLM APIs into scalable systems, including retrieval pipelines, vector search, prompt orchestration, and AI memory.
• Develop AI evaluation and observability frameworks, including hallucination detection, trace analysis, model performance monitoring, experimentation, and continuous improvement.
• Build scalable Python backend services and integrate AI capabilities with distributed production systems.
• Collaborate with research and product teams to productionize new AI capabilities, taking them from experimentation to reliable real-world use.
• Own technical decisions and drive AI engineering best practices, including architecture, testing, tooling, deployment, and AI-SDLC standards.

Required Competence and Skills:

• 7+ years of software engineering experience, including at least 1.5 years of hands-on experience building production AI applications, with proven experience delivering agentic AI systems used by real users.
• Strong software engineering background in Python or another backend language (Golang, Rust, TypeScript, Java, etc.), with the willingness to work primarily with Python. 
• Hands-on experience building agentic AI systems using frameworks such as LangChain, LangGraph, CrewAI, DeepAgents, OpenClaw, Hermes, or similar.
• Experience deploying and operating production AI services in cloud environments, with a proven track record designing scalable, event-driven architectures using messaging (SQS/SNS) and SQL/NoSQL databases. AWS experience is preferred.
• Experience integrating AI agents and AI-powered capabilities into production applications through GraphQL or REST APIs.
• Experience taking AI applications from development to production and collaborating with platform engineering teams on deployment and operation using Kubernetes and Terraform.
• Experience ensuring production AI systems are reliable, secure, observable, and ready for mission-critical use, including monitoring and incident response.
• Excellent communication skills, autonomy, and accountability in ambiguous, high-velocity environments.

Nice to Have:

• Experience with React.js and full-stack development, with the ability to contribute to frontend development when needed.
• Experience with vector databases and similarity search in production AI applications.

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.

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 provides an in-system self-monitoring solution for electronic chips and advanced test equipment. With on-chip agents and deep data analytics, the product captures sensor data throughout design, production and field operation, enabling real-time visibility into performance, quality and reliability. It addresses the challenges of nanometer-scale devices and complex multi-environment deployments, processing large volumes of test data across Windows, Linux and embedded platforms. Strong engineers drive the core C++ engine, machine learning integration and cross-platform interfaces that underpin predictive capabilities and continuous product delivery.

About the Role:

As a Senior C++ Software Engineer on our core product team, you will own the full software development lifecycle for multi-architecture, cross-platform C++ modules that power on-chip monitoring and data analytics in advanced test systems. You will work in a small, self-sufficient team responsible end-to-end for a customer-facing product, collaborating with software, hardware and science stakeholders. The role combines feature design and implementation with infrastructure ownership, CI/CD automation and direct customer integration. You will tackle performance-critical algorithms and complex system design, influence product direction and ensure high code quality standards in a fast-evolving environment.

Key Responsibilities:

• Design and implement cross-platform C++ software for Linux and Windows environments.
• Develop and maintain language bindings and interfaces using Python, Java and C#.
• Contribute to the full software development life cycle, including design, implementation, integration, testing, and deployment of software solutions for advanced test equipment.
• Build systems and CI/CD pipelines with CMake, Bash, Docker and GitHub Actions.
• Optimize performance, memory usage and responsiveness of edge and host-based systems.
• Conduct peer code reviews and uphold coding standards, conventions and documentation.
• Collaborate with multidisciplinary teams and engage with customers to clarify requirements and troubleshoot in lab or production.
• Create and maintain technical documentation, including design specifications and test plans.
• Implement and validate complex algorithms provided by in-house algorithm developers.

Required Competence and Skills:

• 7+ years of hands-on experience in production-grade C++ development (C++11/14/17) on both embedded and host systems.
• Proven experience designing and maintaining build systems, automation scripts and CI/CD pipelines (CMake, Bash, Docker, GitHub Actions).
• Deep understanding of data structures, algorithms, version control, performance optimization and test methodologies.
• Experience developing cross-platform software for Windows and Linux environments.
• Commitment to code quality: consistent formatting, clear conventions and thorough documentation.
• Strong interpersonal skills and ability to collaborate with distributed teams and customers.
• Proficiency in English communication, both written and verbal.
• Bachelor’s degree in Electrical, Computer or Software Engineering, Mathematics or Computer Science.

Nice to Have:

• Experience with Python, Java and C# in application integration.
• Familiarity with SQLite3 for embedded or application-level database use.
• Experience using SWIG to generate C++ bindings for high-level languages.
• Hands-on experience with post-silicon testing using Advantest or Teradyne automated test equipment.

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.

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:

Our client develops a large-scale mission-critical digital platform for enterprise logistics and e-commerce fulfillment. It orchestrates dispatch, routing, and real-time tracking across multiple fleet types (owned, third-party, crowdsourced, autonomous) and integrates with upstream order and supply systems. 

The platform processes millions of transactions annually for global brands and leverages modern cloud technologies, distributed systems, and AI-driven decision-making to ensure high performance, scalability, and reliability.

About the Role:

As an Application Support Engineer, you will be responsible for investigating and resolving technical and product-related issues for enterprise international customers, owning case resolution from initial report through root cause analysis and functional validation.

You'll collaborate with Customer Success, Product Specialists, and Engineering teams to troubleshoot incidents in web and mobile applications, REST APIs, and backend services, perform root cause analysis and continuously improve platform reliability within a fast-paced production environment.

This role offers ownership of incident management processes, opportunities to improve support workflows, and direct impact on product stability and customer satisfaction. 
You will operate within a shift-based schedule (including nights and weekends) across a fully remote setup.

Key Responsibilities:

• Respond to and resolve L2/L3 application support requests from enterprise customers via ticketing system.
• Perform deep investigations and root cause analysis using SQL queries, log files, and debugging tools.
• Validate reported issues through functional testing and confirm fixes across web and mobile platforms.
• Manage incident lifecycle: prioritize cases, coordinate communications, and escalate critical bugs to R&D.
• Provide clear, timely updates and technical guidance to both technical and non-technical end users.
• Monitor customer usage and system performance to proactively identify and address potential issues.
• Assist in onboarding customers by explaining configuration options and relevant product features.
• Document troubleshooting steps, known issues, and best practices for internal knowledge bases and customer-facing materials.
• Contribute to continuous improvement of support processes, tools, and training programs.
• Operate on a rotating shift schedule, covering nights and weekends as part of a support team.

Required Competence and Skills:

• Minimum 2 years of L2 or L3 application support experience in a high-availability environment.
• Intermediate proficiency in SQL for querying relational databases and analyzing data issues.
• Hands-on experience debugging and integrating with RESTful APIs, including request/response analysis.
• Technical support experience with both web and mobile platforms in enterprise software contexts.
• Strong English communication skills, both written and verbal, for customer-facing interactions.
• Ability to work effectively under pressure and manage multiple concurrent priorities.
• Fully remote location within Ukraine, with reliable internet, backup power, and ability to work shifts.

Nice to Have:

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.

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.

🌍 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:

Our client develops a large-scale mission-critical digital platform for enterprise logistics and e-commerce fulfillment. It orchestrates dispatch, routing, and real-time tracking across multiple fleet types (owned, third-party, crowdsourced, autonomous) and integrates with upstream order and supply systems. 

🌟About the Role:

As an Application Support Engineer, you will be responsible for investigating and resolving technical and product-related issues for enterprise international customers, owning case resolution from initial report through root cause analysis and functional validation.

This role offers ownership of incident management processes, opportunities to improve support workflows, and direct impact on product stability and customer satisfaction. 
You will operate within a shift-based schedule (including nights and weekends) across a fully remote setup.

📈Key Responsibilities:

• Respond to and resolve L2/L3 application support requests from enterprise customers via ticketing system.
• Perform deep investigations and root cause analysis using SQL queries, log files, and debugging tools.
• Validate reported issues through functional testing and confirm fixes across web and mobile platforms.
• Manage incident lifecycle: prioritize cases, coordinate communications, and escalate critical bugs to R&D.
• Provide clear, timely updates and technical guidance to both technical and non-technical end users.
• Monitor customer usage and system performance to proactively identify and address potential issues.
• Assist in onboarding customers by explaining configuration options and relevant product features.
• Document troubleshooting steps, known issues, and best practices for internal knowledge bases and customer-facing materials.
• Contribute to continuous improvement of support processes, tools, and training programs.
• Operate on a rotating shift schedule, covering nights and weekends as part of a support team.

💻Required Competence and Skills:

• Minimum 2 years of L2 or L3 application support experience in a high-availability environment.
• Intermediate proficiency in SQL for querying relational databases and analyzing data issues.
• Hands-on experience debugging and integrating with RESTful APIs, including request/response analysis.
• Technical support experience with both web and mobile platforms in enterprise software contexts.
• Strong English communication skills, both written and verbal, for customer-facing interactions.
• Ability to work effectively under pressure and manage multiple concurrent priorities.
• Fully remote location within Ukraine, with reliable internet, backup power, and ability to work shifts.

➕Nice to Have:

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.

🚀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.

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. 

Operating at global scale, the platform processes millions of events and terabytes of geospatial data daily, relies on cloud infrastructure and microservices, and integrates with upstream research prototypes from data science teams. 

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.