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 Product:

Our client is an established technology company developing a complex B2B software product used by customers across international markets. The product consists of multiple interconnected services and software components and continues to evolve as the company expands its capabilities and customer base. The engineering organization focuses on building reliable, scalable, and maintainable solutions while continuously improving the product architecture and development practices. The team works in a highly technical environment where engineers have significant ownership and are involved in both product development and technical decision-making.

About the Role:

We are looking for a Senior C++ Software Engineer to join an experienced engineering team working on one of the core areas of the product. This is a hands-on engineering role with a high level of ownership. You will be involved throughout the development lifecycle — from understanding requirements and designing solutions to implementation, testing, delivery, and ongoing improvements. You will work on technically challenging features, contribute to architectural decisions, improve existing functionality, and help maintain a high engineering standard across the product. The role is well suited to an engineer who enjoys solving complex technical problems, taking ownership of solutions, and working closely with other experienced engineers.

Key Responsibilities:

• Design, develop, and maintain high-quality software using modern C++.
• Develop new product functionality and improve existing solutions.
• Take ownership of features throughout the software development lifecycle.
• Design clean and maintainable technical solutions for complex engineering requirements.
• Investigate and resolve complex software issues.
• Identify opportunities to improve performance, reliability, and overall product quality.
• Contribute to architecture discussions and technical decision-making.
• Write automated tests and ensure appropriate test coverage for implemented functionality.
• Participate in peer code reviews and contribute to engineering standards.
• Improve development workflows, build processes, and engineering automation.
• Work closely with other engineers and technical stakeholders throughout the development process.
• Maintain clear technical documentation where required.
• Use modern AI-assisted development tools to support coding, debugging, research, and other engineering activities.
• Participate in troubleshooting and technical problem-solving when needed.

Required Competence and Skills:

• 7+ years of professional software development experience.
• Strong hands-on expertise in modern C++ (C++11/14/17 or newer).
• Proven experience developing production-grade software.
• Strong understanding of software architecture and object-oriented design principles.
• Solid knowledge of data structures, algorithms, concurrency, and memory management.
• Experience diagnosing complex software issues and identifying root causes.
• Good understanding of software performance and optimization techniques.
• Experience with modern build systems, testing practices, version control, and development automation.
• Strong understanding of software quality, maintainability, and engineering best practices.
• Experience working throughout the full software development lifecycle.
• Hands-on experience using modern AI-assisted development tools in day-to-day engineering work.
• Strong written and verbal English communication skills.
• Ability to work independently while collaborating effectively within a distributed engineering team.

Nice to Have:

• Experience with programming languages in addition to C++.
• Experience working on large or technically complex software products.
• Experience designing reusable software components and internal development tools.
• Experience improving build, testing, or development processes.
• Experience working in environments where software reliability and performance are important.
• Experience collaborating with multiple engineering or product stakeholders.

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.

Location: Poland

🌍 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 is a major online gaming operator building a next-generation transactional platform for user account management. This is a greenfield project designed to operate in a highly regulated, high-volume environment and support millions of concurrent users. The platform will process financial transactions in real time and must ensure high availability, sub-second performance, data integrity, security, and full auditability. One of the key engineering challenges is maintaining reliability and performance during extreme traffic spikes and peak events. 

🌟 About the Role:

We are looking for a Senior MLOps Engineer to design, build, and maintain scalable cloud infrastructure, real-time data pipelines, and production ML workflows. You will work with Infrastructure as Code, event-driven architectures, and the full ML lifecycle, including model deployment, monitoring, data governance, and reliability. You will collaborate closely with Data Engineers and Data Scientists to help design the new system, ensure data and ML workflows work reliably end to end, and understand how changes in data can affect downstream models. The role offers strong technical ownership and the opportunity to influence architecture, technology choices, and long-term system design.

📈 Key Responsibilities:

• Design, deploy, and maintain scalable cloud environments using Infrastructure as Code.
• Build and operate reliable real-time, event-driven data pipelines with fault tolerance and sub-second latency.
• Design and optimize storage backends and data lake infrastructure for both transactional and analytical workloads.
• Implement high-availability networking, API gateways, automated failovers, and zero-downtime routing.
• Integrate data validation, observability, and monitoring into data pipelines to ensure reliability and quickly identify issues.
• Develop and manage infrastructure for ML model training, validation, deployment, and inference.
• Automate the deployment and testing of containerized workloads running on Kubernetes.
• Collaborate with cross-functional teams to define ML governance and reliable end-to-end data flows.
• Drive long-term cloud scaling, FinOps and cost optimization, and disaster recovery planning.
• Provide technical leadership, participate in architecture reviews, and mentor team members on engineering best practices.

💻 Required Competence and Skills:

• 5+ years of experience in cloud infrastructure, data engineering, or distributed systems architecture.
• Proven expertise in infrastructure provisioning tools (e.g., Terraform), containerization (Docker, Kubernetes), and cloud platforms (AWS or GCP).
• Hands-on experience with distributed streaming platforms (Apache Kafka) and change data capture methodologies.
• Strong understanding of object storage architectures (e.g., S3), distributed data lakes, and SQL/NoSQL databases.
• Proficiency in Python and scripting (e.g., Bash) for automation and pipeline orchestration.
• Solid knowledge of ML workflows, data governance principles, and model lifecycle management.
• Ability to translate high-level architectural designs into detailed implementations with performance tuning.
• Excellent communication skills and experience collaborating with data scientists and engineering teams.

➕ Nice to Have:

• Background in fintech, iGaming, or other high-throughput, real-time transactional 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.

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 operates a global technology-driven financial services platform that serves millions of users across multiple regions, offering access to multi-asset trading - including stocks, indices, currencies, and digital assets.

The product operates as a regulated, data-intensive financial ecosystem, processing massive volumes of transactions and real-time customer interactions daily. It’s well-funded, profitable, and known for pushing innovation in AI, automation, and data governance across its operations.

The team partners with internal business units to identify high-impact opportunities and build AI-powered solutions that automate workflows, improve efficiency, and help teams scale.

About the Role:

As an AI Product Manager, you will lead strategic AI initiatives from opportunity discovery through launch and iteration. You will work closely with internal business units to identify needs, define product priorities and roadmaps, and lead cross-functional teams in delivering scalable AI solutions.

This is a hands-on, builder-oriented role where you will use AI-assisted development tools to prototype ideas, validate assumptions quickly, and make evidence-based product decisions. You will own the full product journey — from defining KPIs and aligning stakeholders to driving adoption and continuously improving product performance in a dynamic, data-intensive environment.

Key Responsibilities:

• Own AI product initiatives end to end — from discovery and validation through delivery, launch, adoption, and continuous improvement.
• Work closely with internal business teams to understand their needs, identify high-impact opportunities, align priorities, and manage stakeholder expectations.
• Define clear product requirements, roadmaps, success metrics, and KPIs, and track product adoption, performance, and business impact.
• Build and test functional AI prototypes using AI-assisted development tools, model APIs, automation platforms, low-code tools, or lightweight code.
• Partner with engineering and other cross-functional teams to turn validated ideas into scalable, production-ready solutions, including acceptance testing before release.
• Ensure successful product adoption and continuously improve solutions based on performance, feedback, and business needs.
• Drive an AI-native approach across the product lifecycle, from research and planning to testing and decision-making.

Required Competence and Skills:

• At least 4 years of Product Management experience, with proven end-to-end ownership from idea to launch and measurable results.
• Strong experience working with business stakeholders and cross-functional technical teams, aligning priorities and managing expectations.
• Experience defining product requirements, roadmaps, KPIs, and success metrics.
• Hands-on experience building AI-powered applications, workflows, or prototypes using AI development tools and model APIs.
• Good technical understanding of APIs, system architecture, data flows, LLMs, AI agents, and RAG.
• Strong product thinking, problem-solving, prioritization, and communication skills.
• Ability to work effectively in ambiguous, fast-moving environments, with a high level of ownership and an evidence-based approach to decision-making.
• Strong stakeholder management, customer discovery, analytical thinking, prioritization, and communication skills.

Nice to Have:

• Previous software engineering or other strong technical background.  
• Experience turning prototypes or custom solutions into scalable, reusable products. 
• Experience leading cross-functional initiatives involving multiple business units, technical teams, and senior stakeholders.

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.

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:

A cloud-based cybersecurity technology company developing a platform that helps enterprises identify, assess, and manage security risks across complex environments. The product processes large volumes of security data and uses advanced analytics and AI to surface potential threats, support risk assessment, and help security teams make better-informed decisions. The company works with international customers and continues to expand its product and market presence.

About the Role:

We’re looking for a hands-on Software Engineering Team Leader (Python) who will lead the engineering team, drive technical and architectural decisions, and remain actively involved in coding, debugging, code reviews, and performance optimization. You’ll be responsible for the end-to-end delivery of new capabilities while maintaining high standards of quality, reliability, and scalability.

In addition to technical leadership, you’ll establish clear team goals and use relevant KPIs and engineering metrics to evaluate progress, improve delivery predictability, identify bottlenecks, and support the professional development of team members.

You’ll work closely with product and engineering stakeholders to translate complex requirements into practical, maintainable solutions. We’re looking for a collaborative, solution-oriented leader who takes ownership, communicates openly, and focuses on resolving challenges rather than creating unnecessary complexity or escalation.

The ideal candidate is also open to the thoughtful adoption of AI-assisted engineering tools and practices, and is interested in exploring how AI can improve development speed, code quality, testing, documentation, and team effectiveness.

Key Responsibilities:

• Drive architecture design and technology roadmap for a cloud-native analytics platform.
• Develop, review, and optimize Python code for large-scale data pipelines and real-time processing.
• Lead end-to-end feature implementation, from specification through deployment and monitoring.
• Take ownership of technical execution and end-to-end feature delivery.
• Collaborate with product management and cross-functional teams to refine requirements and deliver clean, reliable solutions.
• Mentor and manage a team of senior engineers, including three backend and two frontend specialists.
• Implement performance tuning, debugging, and resource optimization in AWS, Docker, and Kubernetes environments.
• Establish and track KPIs and metrics to measure team effectiveness and drive continuous improvement.
• Promote transparent communication, open collaboration, and knowledge sharing across the organization.
• Champion AI integration in the development lifecycle to boost productivity and quality.
• Ensure system scalability, security, and resilience under heavy data and user loads.

Required Competence and Skills:

• Minimum 2 years of experience leading engineering teams in a hands-on capacity.
• At least 5 years of professional software development experience.
• Expert-level proficiency in Python for backend development.
• Practical experience with AWS services, PostgreSQL, and Redis in production.
• Experience with async messaging systems (e.g., RabbitMQ, SQS, SNS or similar)
• User-level skills with Dockerized services and Kubernetes-based deployments.
• Proven track record of delivering complex projects end-to-end.
• Strategic mindset for AI-driven development lifecycle (AI DLC) and metrics orientation.
• Strong English communication skills, both written and verbal.
• Genuine interest in cybersecurity analytics and risk modeling.

Nice to Have:

• Hands-on experience with Angular and TypeScript.
• Background in large-scale B2B SaaS systems.
• Familiarity with additional backend languages such as Go or Java.

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.

Job Title:

Senior C++ Software Engineer

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 is an established technology company developing a complex B2B software product used by customers across international markets. The product consists of multiple interconnected services and software components and continues to evolve as the company expands its capabilities and customer base. The engineering organization focuses on building reliable, scalable, and maintainable solutions while continuously improving the product architecture and development practices. The team works in a highly technical environment where engineers have significant ownership and are involved in both product development and technical decision-making.

About the Role:

We are looking for a Senior C++ Software Engineer to join an experienced engineering team working on one of the core areas of the product. This is a hands-on engineering role with a high level of ownership. You will be involved throughout the development lifecycle — from understanding requirements and designing solutions to implementation, testing, delivery, and ongoing improvements. You will work on technically challenging features, contribute to architectural decisions, improve existing functionality, and help maintain a high engineering standard across the product. The role is well suited to an engineer who enjoys solving complex technical problems, taking ownership of solutions, and working closely with other experienced engineers.

Key Responsibilities:

• Design, develop, and maintain high-quality software using modern C++.
• Develop new product functionality and improve existing solutions.
• Take ownership of features throughout the software development lifecycle.
• Design clean and maintainable technical solutions for complex engineering requirements.
• Investigate and resolve complex software issues.
• Identify opportunities to improve performance, reliability, and overall product quality.
• Contribute to architecture discussions and technical decision-making.
• Write automated tests and ensure appropriate test coverage for implemented functionality.
• Participate in peer code reviews and contribute to engineering standards.
• Improve development workflows, build processes, and engineering automation.
• Work closely with other engineers and technical stakeholders throughout the development process.
• Maintain clear technical documentation where required.
• Use modern AI-assisted development tools to support coding, debugging, research, and other engineering activities.
• Participate in troubleshooting and technical problem-solving when needed.

Required Competence and Skills:

• 7+ years of professional software development experience.
• Strong hands-on expertise in modern C++ (C++11/14/17 or newer).
• Proven experience developing production-grade software.
• Strong understanding of software architecture and object-oriented design principles.
• Solid knowledge of data structures, algorithms, concurrency, and memory management.
• Experience diagnosing complex software issues and identifying root causes.
• Good understanding of software performance and optimization techniques.
• Experience with modern build systems, testing practices, version control, and development automation.
• Strong understanding of software quality, maintainability, and engineering best practices.
• Experience working throughout the full software development lifecycle.
• Hands-on experience using modern AI-assisted development tools in day-to-day engineering work.
• Strong written and verbal English communication skills.
• Ability to work independently while collaborating effectively within a distributed engineering team.

Nice to Have:

• Experience with programming languages in addition to C++.
• Experience working on large or technically complex software products.
• Experience designing reusable software components and internal development tools.
• Experience improving build, testing, or development processes.
• Experience working in environments where software reliability and performance are important.
• Experience collaborating with multiple engineering or product stakeholders.

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.

🌍 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 and scaling a mature, data-intensive B2B SaaS platform used by enterprise customers across multiple markets. The platform supports a diverse range of enterprise use cases across operational planning, information analysis, case management, and cross-team collaboration.

The product brings together large volumes of structured and unstructured data, domain-specific analytics, and configurable workflows to help users investigate complex cases, collaborate effectively, and make timely operational decisions.

🌟 About the Role:
We are looking for a Principal / Staff AI Engineer to design, build, and deliver reliable AI-powered capabilities as part of an established production platform.

You will work at the intersection of backend engineering, generative AI, and product development. Your responsibilities will cover the full delivery cycle - from exploring ideas and validating technical approaches to building production services, evaluating output quality, and improving solutions based on real-world usage.
This is a hands-on engineering role with significant ownership. You will have the opportunity to influence architectural decisions, engineering practices, and the broader adoption of AI across the product while working closely with engineering, product, and other cross-functional teams.
 

📈 Key Responsibilities:

• Design, build, and deploy production-grade autonomous agent systems that solve open-ended, complex, and multi-step tasks for real users.
• Build the core agent platform and harness, including planning, tool use, agent orchestration, context management, memory, and reusable agent skills.
• Develop agents that can independently determine their next steps, adapt based on intermediate results, and maintain direction during long-running tasks.
• Design human-in-the-loop mechanisms that define when agents can act independently and when human guidance, review, or approval is required.
• Develop methods and tooling to validate AI-generated results, evaluate agent behavior, diagnose failures, monitor production performance, and improve reliability over time.
• Build scalable Python backend services and integrate agent capabilities with distributed production systems, taking new functionality from experimentation to reliable real-world use.
• Own key architectural and technical decisions, establish AI engineering standards, and introduce new approaches that advance the team’s agent platform and engineering expertise.
  
   

💻 Required Competence and Skills:

• 7+ years of software engineering experience, including at least 1.5 years of hands-on experience building and shipping LLM-based products to production.
• Proven experience building autonomous AI agent systems used by real users at meaningful scale and capable of handling complex, open-ended, multi-step tasks.
• Hands-on experience with AI agent frameworks such as LangChain, LangGraph, Deep Agents, or similar. Experience selecting frameworks, identifying their limitations, and building custom components where needed.
• Strong backend engineering skills in Python or another language such as Golang, Java, or Rust, with the willingness to work primarily with Python.
• Experience with context and memory management, agent orchestration, and human-in-the-loop systems.
• Experience taking AI products from experimentation to reliable production use, including cloud deployment, system integration, AI quality validation, monitoring, and agent failure analysis.
• Strong end-to-end ownership, communication, and ability to make technical decisions, work independently, and adapt quickly in a high-velocity environment.
• Advanced English skills.

➕ 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.

Location: Poland 

🌍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 is a major online gaming operator building a next-generation transactional platform for user account management. This is a greenfield project designed to operate in a highly regulated, high-volume environment and support millions of concurrent users. The platform will process financial transactions in real time and must ensure high availability, sub-second performance, data integrity, security, and full auditability. One of the key engineering challenges is maintaining reliability and performance during extreme traffic spikes and peak events. 

🌟 About the Role:

As a Senior Java Engineer, you will design and build the core backend services of the PAM platform from the ground up. You will own features end-to-end, from technical design and implementation to automated testing, production monitoring, and release. You will work closely with Principal Engineers on architecture and technical decisions, contribute to RFCs, and deliver production-ready code. You will have a high level of autonomy and real influence over the platform’s design, while taking strong ownership of reliability, performance, and correctness in a critical financial system.

📈 Key Responsibilities:

• Design and build backend services in Java 17+ (Spring Boot or similar) for wallet transactions, ledger entries, payment orchestration, bonus mechanics, and account state management.
• Develop REST APIs and event-driven integrations using Kafka or similar technologies for player-facing frontends, operations tooling, and external partners.
• Ensure correctness and reliability through idempotent operations, clear transaction boundaries, explicit failure handling, and strong unit, integration, and contract testing.
• Embed regulatory requirements into the platform, including KYC/AML checks, responsible gaming controls, and audit trails.
• Ensure production readiness with metrics, structured logging, distributed tracing, alerting, and participation in on-call rotations.
• Contribute to technical design and RFCs, participate in code reviews, and mentor other engineers.
• Use AI-assisted development tools as part of the daily workflow, following platform standards for context and prompts.
• Support live migration from the existing third-party platform, including parity testing, data validation, and cutover coordination.

💻 Required Competence and Skills:

• 5+ years of backend engineering experience with strong hands-on expertise in Java 17+ and a modern framework such as Spring Boot.
• Proven experience building and operating high-integrity transactional systems such as payments, wallets, billing, banking, e-commerce, or gaming.
• Strong relational database expertise (PostgreSQL or equivalent), including schema design, ACID transactions, locking, and performance tuning.
• Experience with event-driven architecture and messaging (Kafka, RabbitMQ, or similar), including idempotency and retry mechanisms.
• Strong testing practices, including automated unit, integration, and contract tests as part of the standard development process.
• Hands-on production experience with containers, CI/CD pipelines, monitoring/telemetry, and production incident troubleshooting.
• Solid understanding of multi-threading, system architecture, and fault-tolerant design patterns.
• Good written and spoken English, with experience working effectively in distributed.

➕ Nice to Have:

• Experience in iGaming, sports betting, fintech, or another regulated, high-transaction-volume domain.
• Exposure to Kubernetes and AWS, including VPC, IAM, EKS, and auto-scaling.
• Experience with compliance-driven development, including KYC/AML, responsible gaming, and audit requirements.
• Experience with AI coding assistants and agentic development workflows.
• Polish and/or Spanish language skills.

🚀 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.

Job Title:

Principal DevOps Engineer

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 is a major online gaming operator building a next-generation transactional platform for user account management. This is a greenfield project designed to operate in a highly regulated, high-volume environment and support millions of concurrent users. The platform will process financial transactions in real time and must ensure high availability, sub-second performance, data integrity, security, and full auditability. One of the key engineering challenges is maintaining reliability and performance during extreme traffic spikes and peak events. 

The team is looking for strong technical expertise to help design and build a scalable, secure, and reliable platform that can meet strict regulatory and compliance requirements.ip and expertise are critical to ensure reliability, performance, and compliance at scale.

About the Role:

As a Principal DevOps Engineer, you will take the lead in building the cloud infrastructure and delivery platform from the ground up. You will shape the multi-account cloud foundation, network architecture, security controls, Kubernetes strategy, CI/CD pipelines, and observability framework before production workloads go live. The role combines hands-on infrastructure-as-code development with platform strategy, incident readiness, and compliance by design. You will work closely with engineering, security, and AI platform teams, share operational best practices, and ensure the platform remains highly available, secure, and performant at scale.

Key Responsibilities:

• Design and implement a multi-account cloud foundation: account structure, landing zones, VPCs, Transit Gateway, IAM policies, and cost governance.
• Build and operate a resilient container platform using Amazon EKS, service mesh configuration, autoscaling strategies, and multi-AZ or multi-region deployment.
• Develop and maintain infrastructure as code using Terraform or equivalent, and enable GitOps delivery with tools such as Argo CD.
• Create paved-road CI/CD pipelines to automate application build, test, and deployment processes for multiple product teams.
• Establish an observability stack including metrics, logs, tracing, and alerting (Prometheus, Grafana, OpenTelemetry, CloudWatch) and drive an SLO/error budget practice.
• Define and own production readiness: incident response process, on-call rotation design, runbooks, and chaos/load testing for major events.
• Lead migration of existing third-party platform components: dual-running environments, data migration pipelines, and cutover planning.
• Embed compliance into infrastructure: audit trail automation, environment segregation, backup/DR strategy, and controls aligned with regulatory requirements.
• Partner with AI platform engineers to provision and operate AI-assisted development infrastructure and integrate AI tools into DevOps workflows.
• Mentor and guide engineers organization-wide on cloud-native architectures, operational excellence, and infrastructure best practices.

Required Competence and Skills:

• 10+ years of experience in DevOps, Platform, or Infrastructure Engineering, including 3+ years at Staff/Principal level with organization-wide impact.
• Deep hands-on AWS expertise: EKS, EC2, RDS/Aurora, VPC, Transit Gateway, Route 53, IAM, and multi-account environments.
• Strong Terraform and Kubernetes expertise, including day-2 operations, upgrades, capacity planning, and cost optimization.
• Proven experience building CI/CD pipelines and developer platforms used across engineering teams.
• Experience running high-availability, high-throughput systems and handling major traffic spikes.
• Strong scripting/programming skills in Python, Go, or Bash, with the ability to review application code for infrastructure integration.
• Experience with backup, disaster recovery, and business continuity for critical systems.
• Excellent English communication skills, with the ability to explain technical decisions to both engineers and executives.

Nice to Have:

• Experience with cloud security, secrets management (e.g., Vault), and CI/CD security scanning (SAST/DAST/SCA).
• Familiarity with ISO 27001, SOC 2, or PCI DSS standards.
• Experience in online gaming, sports betting, fintech, or other regulated, high-transaction industries.
• Experience migrating from third-party vendor platforms.
• Knowledge of event streaming (Kafka/MSK) and large-scale database operations.
• Polish and/or Spanish language skills.
•  

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.

!!! Location: only Poland !!! 

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 is a major online gaming operator building a next-generation transactional platform for user account management. This is a greenfield project designed to operate in a highly regulated, high-volume environment and support millions of concurrent users. The platform will process financial transactions in real time and must ensure high availability, sub-second performance, data integrity, security, and full auditability. One of the key engineering challenges is maintaining reliability and performance during extreme traffic spikes and peak events. 

The team is looking for strong technical expertise to help design and build a scalable, high-performance, and reliable backend platform that can meet strict security, regulatory, and compliance requirements.

About the Role:

As a Senior Java Engineer, you will design and build the core backend services of the PAM platform from the ground up. You will own features end-to-end, from technical design and implementation to automated testing, production monitoring, and release. You will work closely with Principal Engineers on architecture and technical decisions, contribute to RFCs, and deliver production-ready code. You will have a high level of autonomy and real influence over the platform’s design, while taking strong ownership of reliability, performance, and correctness in a critical financial system.

Key Responsibilities:

• Design and build backend services in Java 17+ (Spring Boot or similar) for wallet transactions, ledger entries, payment orchestration, bonus mechanics, and account state management.
• Develop REST APIs and event-driven integrations using Kafka or similar technologies for player-facing frontends, operations tooling, and external partners.
• Ensure correctness and reliability through idempotent operations, clear transaction boundaries, explicit failure handling, and strong unit, integration, and contract testing.
• Embed regulatory requirements into the platform, including KYC/AML checks, responsible gaming controls, and audit trails.
• Ensure production readiness with metrics, structured logging, distributed tracing, alerting, and participation in on-call rotations.
• Contribute to technical design and RFCs, participate in code reviews, and mentor other engineers.
• Use AI-assisted development tools as part of the daily workflow, following platform standards for context and prompts.
• Support live migration from the existing third-party platform, including parity testing, data validation, and cutover coordination.

Required Competence and Skills:

• 5+ years of backend engineering experience with strong hands-on expertise in Java 17+ and a modern framework such as Spring Boot.
• Proven experience building and operating high-integrity transactional systems such as payments, wallets, billing, banking, e-commerce, or gaming.
• Strong relational database expertise (PostgreSQL or equivalent), including schema design, ACID transactions, locking, and performance tuning.
• Experience with event-driven architecture and messaging (Kafka, RabbitMQ, or similar), including idempotency and retry mechanisms.
• Strong testing practices, including automated unit, integration, and contract tests as part of the standard development process.
• Hands-on production experience with containers, CI/CD pipelines, monitoring/telemetry, and production incident troubleshooting.
• Solid understanding of multi-threading, system architecture, and fault-tolerant design patterns.
• Good written and spoken English, with experience working effectively in distributed, multi-time-zone teams.

Nice to Have:

• Experience in iGaming, sports betting, fintech, or another regulated, high-transaction-volume domain.
• Exposure to Kubernetes and AWS, including VPC, IAM, EKS, and auto-scaling.
• Experience with compliance-driven development, including KYC/AML, responsible gaming, and audit requirements.
• Experience with AI coding assistants and agentic development workflows.
• Polish and/or Spanish language skills.

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.

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 and scaling a mature, data-intensive B2B SaaS platform used by enterprise customers across multiple markets. The platform supports a diverse range of enterprise use cases across operational planning, information analysis, case management, and cross-team collaboration.

The product brings together large volumes of structured and unstructured data, domain-specific analytics, and configurable workflows to help users investigate complex cases, collaborate effectively, and make timely operational decisions.

About the Role:

We are looking for a Principal / Staff AI Engineer to design, build, and deliver reliable AI-powered capabilities as part of an established production platform.
You will work at the intersection of backend engineering, generative AI, and product development. Your responsibilities will cover the full delivery cycle – from exploring ideas and validating technical approaches to building production services, evaluating output quality, and improving solutions based on real-world usage.
This is a hands-on engineering role with significant ownership. You will have the opportunity to influence architectural decisions, engineering practices, and the broader adoption of AI across the product while working closely with engineering, product, and other cross-functional teams.

Key Responsibilities:

• Design, build, and deploy production-grade autonomous agent systems that solve open-ended, complex, and multi-step tasks for real users.
• Build the core agent platform and harness, including planning, tool use, agent orchestration, context management, memory, and reusable agent skills.
• Develop agents that can independently determine their next steps, adapt based on intermediate results, and maintain direction during long-running tasks.
• Design human-in-the-loop mechanisms that define when agents can act independently and when human guidance, review, or approval is required.
• Develop methods and tooling to validate AI-generated results, evaluate agent behavior, diagnose failures, monitor production performance, and improve reliability over time.
• Build scalable Python backend services and integrate agent capabilities with distributed production systems, taking new functionality from experimentation to reliable real-world use.
• Own key architectural and technical decisions, establish AI engineering standards, and introduce new approaches that advance the team’s agent platform and engineering expertise.

Required Competence and Skills:

• 7+ years of software engineering experience, including at least 1.5 years of hands-on experience building and shipping LLM-based products to production.
• Proven experience building autonomous AI agent systems used by real users at meaningful scale and capable of handling complex, open-ended, multi-step tasks.
• Hands-on experience with AI agent frameworks such as LangChain, LangGraph, Deep Agents, or similar. Experience selecting frameworks, identifying their limitations, and building custom components where needed.
• Strong backend engineering skills in Python or another language such as Golang, Java, or Rust, with the willingness to work primarily with Python.
• Experience with context and memory management, agent orchestration, and human-in-the-loop systems.
• Experience taking AI products from experimentation to reliable production use, including cloud deployment, system integration, AI quality validation, monitoring, and agent failure analysis.
• Strong end-to-end ownership, communication, and ability to make technical decisions, work independently, and adapt quickly in a high-velocity environment.
• Advanced English skills.

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.

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

As a Block-Builder Engineer, you will take ownership of a production-grade, low-latency block-building platform and the systems around it.

You will work on the critical seal-and-submit path, block construction and bidding algorithms, parallel transaction simulation, secure builder-to-relay communication, and the off-chain logic supporting a new on-chain lending protocol and a trust-minimized TEE-based execution model.

A major part of the role is solving complex, open-ended engineering problems: improving bidding speed and efficiency, enabling capital to be safely borrowed and repaid within a single block, and creating mechanisms that prove correct system behavior without exposing competitive advantages.
 

Key Responsibilities

• Build and improve order-flow ingestion, bundle and transaction processing, relay submission flows, back-pressure mechanisms, and reintegration of channels into block construction.
• Develop and maintain observability tooling using Grafana, Prometheus, Loki, and SQL-based analytics, while identifying inaccurate or misleading metrics and dashboards.
• Design and execute production experiments, including A/B testing, data extraction, analysis, and clear reporting of results.
• Investigate and resolve production issues such as panics, dropped messages, latency regressions, and other reliability problems.
• Write tests and safeguards to prevent recurring failures and performance regressions.
• Contribute to optimization-driven block construction, protocol-level logic, and execution extensions such as BEX.
• Support the intrablock lending protocol by implementing both off-chain and on-chain components within the trusted-execution environment.
• Gradually expand into the exchange layer, building and maintaining high-throughput services that interact with trading systems.
   

Required Competence and Skills

• 2–4+ years of professional software engineering experience, including hands-on experience shipping and operating production systems.
• At least 2 years of experience working with Ethereum or other EVM-compatible blockchain protocols.
• Production experience with Rust is a strong advantage. Strong backend or systems engineering experience with Go, C++, or Java can also be considered if you are motivated and able to ramp up quickly in Rust.
• Experience working with concurrent, performance-sensitive, or real-time systems and confidence navigating a large existing codebase.
• Strong data skills, including SQL and experience using databases, logs, and production data to investigate system behavior and measure the impact of changes.
• Ability to use Python for analysis, automation, or internal tooling.
• Familiarity with monitoring and analytics tools, or a willingness to learn them, together with the ability to critically evaluate the accuracy of metrics and dashboards.
• A careful, data-driven engineering approach: validating assumptions, thoroughly testing changes, and distinguishing verified findings from hypotheses.
• Strong curiosity and ownership mindset, with an interest in understanding why production metrics change, identifying root causes, and iterating on solutions.
• Fluent English and willingness to work within Eureka Labs’ hybrid, office-first model in Poland.
   

Nice to Have

• Knowledge of or interest in Ethereum PBS, MEV, smart contracts, or trading systems.
• Experience with high-throughput data pipelines, time-series workloads, or large-scale analytics systems.
• Familiarity with reth, geth, or revm internals.
• Experience running production services with Kubernetes or Docker.

Senior Backend Engineer (Go)

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 operates a cloud-based platform dedicated to corporate ground transportation management, addressing a multi-billion-dollar market. The solution aggregates multiple transportation providers—such as corporate fleets, ride-hailing services, taxi operators, and limousine networks—into a unified system that helps businesses streamline operations and reduce spend. It serves a significant share of the largest companies worldwide and handles high volumes of transactions and data across diverse geographies. The platform’s core challenges include integrating heterogeneous external services, maintaining reliability under high-load conditions, implementing advanced business logic for scheduling and pooling, and providing accurate cost control and reporting. Strong backend engineering is critical to scaling global coverage, ensuring performance, and delivering a seamless user experience.

About the Role:

You will join a cross-functional development team responsible for core backend services that directly impact end users. The role offers full ownership of feature delivery—from reviewing product requirements and defining technical designs alongside architects and product managers, through to coding, testing, deployment, and monitoring in production. You will serve as first-line support for your services, proactively identify and address reliability and performance issues, and collaborate with other teams to ensure end-to-end system integrity. This position demands technical leadership, a hands-on approach to system architecture, and the ability to influence both engineering and product decisions. You will work remotely with periodic team gatherings and receive the tools and environment needed to deliver tangible business impact in a fast-paced, agile setting.

Key Responsibilities:

• Lead end-to-end development of backend microservices, including implementation, deployment, and production monitoring.

• Translate product requirements into scalable technical designs, data models, and RESTful APIs.

• Integrate with external transportation providers and internal systems to enable reliable, real-time workflows.

• Analyze and optimize system performance and database queries under high-load scenarios.

• Propose and implement architectural improvements to enhance resilience, scalability, and maintainability.

• Maintain and refactor existing services to improve code quality, test coverage, and observability.

• Collaborate with cross-functional teams and mentor peers on best practices in coding, testing, and operations.

• Participate in agile ceremonies, including backlog grooming and sprint planning, to align deliverables with business priorities.

Required Competence and Skills:

• 5+ years of backend software development experience in Golang (willingness to work with Ruby). 

• Proven experience designing and implementing data-driven applications using relational databases (e.g., PostgreSQL) and NoSQL stores (e.g., Redis).

• Solid understanding of RESTful API design principles and the HTTP protocol.

• Hands-on experience with Agile/Scrum methodologies and iterative delivery.

• Proficiency in writing unit tests and applying automated testing practices.

• Strong English communication skills, both verbal and written.

• Ability to understand complex business domains and translate needs into optimal technical solutions.

• Deep understanding of system architecture, high-load applications, and concurrency principles.

Nice to Have:

• Expertise in performance tuning of relational databases.

• Familiarity with gRPC and Protocol Buffers.

• Prior work on high-load, distributed systems.

• Background in building concurrent applications.

Why Us:

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 operates a cloud-based platform dedicated to corporate ground transportation management, addressing a multi-billion-dollar market. The solution aggregates multiple transportation providers—such as corporate fleets, ride-hailing services, taxi operators, and limousine networks—into a unified system that helps businesses streamline operations and reduce spend. It serves a significant share of the largest companies worldwide and handles high volumes of transactions and data across diverse geographies. The platform’s core challenges include integrating heterogeneous external services, maintaining reliability under high-load conditions, implementing advanced business logic for scheduling and pooling, and providing accurate cost control and reporting. Strong backend engineering is critical to scaling global coverage, ensuring performance, and delivering a seamless user experience.

About the Role:

You will join a cross-functional development team responsible for core backend services that directly impact end users. The role offers full ownership of feature delivery—from reviewing product requirements and defining technical designs alongside architects and product managers, through to coding, testing, deployment, and monitoring in production. You will serve as first-line support for your services, proactively identify and address reliability and performance issues, and collaborate with other teams to ensure end-to-end system integrity. This position demands technical leadership, a hands-on approach to system architecture, and the ability to influence both engineering and product decisions. You will work remotely with periodic team gatherings and receive the tools and environment needed to deliver tangible business impact in a fast-paced, agile setting.

Key Responsibilities:

• Lead end-to-end development of backend microservices, including design, implementation, deployment, and production monitoring.

• Translate product requirements into scalable technical designs, data models, and RESTful APIs.

• Integrate with external transportation providers and internal systems to enable reliable, real-time workflows.

• Analyze and optimize system performance and database queries under high-load scenarios.

• Propose and implement architectural improvements to enhance resilience, scalability, and maintainability.

• Maintain and refactor existing services to improve code quality, test coverage, and observability.

• Collaborate with cross-functional teams and mentor peers on best practices in coding, testing, and operations.

• Participate in agile ceremonies, including backlog grooming and sprint planning, to align deliverables with business priorities.

Required Competence and Skills:

• 5+ years of backend software development experience in Golang (willingness to work with Ruby). 

• Proven experience designing and implementing data-driven applications using relational databases (e.g., PostgreSQL) and NoSQL stores (e.g., Redis).

• Solid understanding of RESTful API design principles and the HTTP protocol.

• Hands-on experience with Agile/Scrum methodologies and iterative delivery.

• Proficiency in writing unit tests and applying automated testing practices.

• Strong English communication skills, both verbal and written.

• Ability to understand complex business domains and translate needs into optimal technical solutions.

• Deep understanding of system architecture, high-load applications, and concurrency principles.

Nice to Have:

• Expertise in performance tuning of relational databases.

• Familiarity with gRPC and Protocol Buffers.

• Prior work on high-load, distributed systems.

• Background in building concurrent 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:

This is a hyper-scale fintech platform trusted by over 40 million users worldwide, offering access to multi-asset trading - including stocks, indices, currencies, and digital assets.

The product operates as a regulated, data-intensive financial ecosystem, processing massive volumes of transactions and real-time customer interactions daily. It’s well-funded, profitable, and known for pushing innovation in AI, automation, and data governance across its operations. Advertising presence is strong (especially in the UK), but behind the scenes is a serious engineering culture solving hard, real-world problems at scale.

About the Role:

We are looking for an Applied AI Engineer (Squad Lead) to join a fast-paced, AI-first environment where AI is already a core part of how the company operates. This is not a role where you’ll be adding an AI feature to an existing product or experimenting with isolated prototypes. You’ll take real business challenges, work directly with stakeholders to understand what needs to change, and turn those problems into production-grade AI agents and applications — end to end, from idea and POC to deployment and continuous improvement.

This is a deeply hands-on role with significant autonomy and ownership. You’ll work with modern GenAI and agentic technologies, use AI-native development workflows daily, and see the impact of your solutions quickly. As the squad grows, you’ll also guide other engineers while remaining hands-on.

Key Responsibilities:

• Design, build, and deploy AI-powered agents and applications from concept through production.
• Develop and maintain AI pipelines for data ingestion, embeddings, retrieval, and LLM orchestration.
• Write high-quality backend and frontend code to embed AI into user-facing tools and internal platforms.
• Build APIs and integrations with internal systems (CRM, databases, third-party services) for seamless automation and data flow.
• Work with structured, unstructured, and vectorized data to support intelligent workflows and decision-making.
• Continuously monitor, evaluate, and iterate to improve system performance, reliability, and cost efficiency.
• Design and implement scalable, secure, observable, cloud-based solutions.
• Own production systems, including debugging, enhancements, and ongoing optimization.
• Collaborate closely with product and business stakeholders to translate requirements into high-impact solutions.

Required Competence and Skills:

• 5+ years of software engineering experience (backend or full-stack).
• Proven daily use of AI-native development workflows (e.g., Cursor, Claude Code) for production systems.
• Hands-on experience building production AI agents, including RAG, multi-agent orchestration, tool-calling, structured outputs/validation, memory, and workflow management.
• Experience with agent orchestration and evaluation frameworks (LangChain, LangGraph, LangSmith, Semantic Kernel or equivalent).
• Track record of deploying LLM-powered systems in production.
• Strong backend and modern frontend development skills for complex workflows.
• Experience with cloud services (Azure, AWS, or GCP) and designing scalable architectures.
• Familiarity with vector databases and embedding pipelines.
• Deep understanding of system design, scalability, observability, and security best practices.
• Experience leading small development teams or owning a technical domain.
• Excellent communication, stakeholder management, and problem-solving skills.
• Fluent written and verbal English.

Nice to Have:

• Experience building AI systems in regulated or compliance-driven environments.
• Background working with internal teams and platforms (e.g., customer service, retention, operations, compliance).
• Strong understanding of business process automation and operational intelligence.
• Familiarity with event-driven architectures and distributed systems.
• Experience implementing AI evaluation frameworks and automated testing for LLM systems.