Adaptiq

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.

Job Title:

Senior Data 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:

The product brings together data about employees, devices, applications, and IT operations to help organizations understand and improve the digital workplace experience. It combines information from multiple systems into a consolidated view, enabling IT teams to identify issues, analyze trends, and take action.

Its underlying platform ingests continuously changing data, normalizes it, and maintains relationships between employees, departments, devices, and organizational structures. Role-based access controls govern how that information is used. The engineering challenge is to make high-volume data flows reliable and efficient while providing low-latency access to current information.

About the Role:

As a Senior Data Engineer, you will build the streaming pipelines and distributed services that support this platform. This is a hands-on role centered on Java, Kafka, and Apache Flink. You will work from product requirements and architectural direction while owning complex implementation decisions, identifying risks early, and delivering production-ready components with minimal supervision.

You will join a small team developing the product and work with architecture, product, and DevOps colleagues. Early work includes understanding existing schemas and data sources, planning how data enters the platform, defining transformations and aggregations, and implementing, testing, and deploying those flows. The role involves substantial work on throughput, latency, persistence, reliability, and the operational behavior of systems processing data at scale.

Key Responsibilities:

• Build and maintain production Java services and high-throughput data-processing components.
• Design, implement, and optimize Kafka and Apache Flink pipelines that combine data from multiple sources.
• Plan and implement data flows, including ingestion, normalization, calculation, aggregation, and persistence.
• Develop the data model and services for employees, departments, devices, organizational relationships, and role-based access control.
• Build service interfaces and data contracts using technologies such as gRPC and Protobuf.
• Design persistence and data-access patterns across relational, analytical, and in-memory systems, including PostgreSQL, ClickHouse, and Redis where appropriate.
• Optimize schemas, queries, indexes, partitioning, and ingestion for large datasets.
• Diagnose bottlenecks and production incidents across streaming pipelines, services, and databases.
• Improve scalability, reliability, observability, throughput, latency, and operational cost.
• Use AI-assisted development tools while independently reviewing their output for correctness, security, and maintainability.

Required Competence and Skills:

• Typically 10+ years of experience building and maintaining production systems, including substantial hands-on work with distributed, high-throughput data platforms.
• Typically 5+ years of professional Java experience, with a strong grasp of concurrency, memory management, and JVM performance tuning.
• Typically 3+ years of production Kafka experience, including partitioning, consumer groups, schemas, delivery guarantees, fault tolerance, and throughput tuning.
• Typically 2+ years of production Apache Flink experience, including stateful processing, windowing, checkpointing, backpressure, fault recovery, and pipeline optimization.
• Experience building and operating systems that process millions of events per minute, with direct ownership of scaling or production performance decisions.
• Strong data-modeling and database optimization skills, including work with time-series data, high-volume ingestion, analytical workloads, and PostgreSQL or another relational database.
• Experience with Protobuf, schema evolution, and compatibility in distributed systems; familiarity with gRPC and service-to-service communication.
• Hands-on experience monitoring, troubleshooting, and improving distributed production workloads, including incident resolution and resource management.
• Practical use of AI-assisted or agentic coding tools, paired with critical review of generated code before production use.
• Ability to own complex components independently, assess technical tradeoffs, and deliver maintainable solutions.

Nice to Have:

• Experience with ClickHouse or a comparable large-scale analytical database.
• Practical familiarity with CI/CD, Docker, Kubernetes, and production observability.
• Experience with TypeScript and React, including backend services or user-facing applications.
• Experience unifying data from multiple sources in Kafka-based pipelines.
• Experience with real-time analytics, anomaly detection, or complex event processing.
• Experience integrating AI or LLM-based capabilities, agentic workflows, or tool-based automation into production 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.

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 international B2B software company helping organizations oversee complex technology environments. Its solutions bring together automation, operational insights, and coordinated workflows to help specialist teams assess risks, investigate issues, and take appropriate action.

The company’s internal applications support the entire customer journey, connecting marketing, sales, commercial operations, customer success, and finance. Reliable integrations and accurate information are essential to managing this journey effectively.

About the Role:

You will join the business applications team, combining business analysis with hands-on Salesforce administration.

Your work will span both ongoing platform operations and improvements to Salesforce and its connected applications. You will partner with stakeholders to understand their needs, define solutions, configure changes, and support delivery through testing, rollout, and adoption.

This position requires a broader view of how business processes and systems interact. You should be comfortable investigating the reasons behind requests, identifying dependencies, discussing alternatives, and recommending solutions that remain manageable as business needs evolve.

You will also share responsibility for daily administration and first- and second-line support for several hundred Salesforce users, balancing operational requests with planned project work.

Key Responsibilities:

• Map and improve lead-to-cash and quote-to-cash processes across marketing, sales, revenue operations, finance, and customer success.
• Run requirements discussions with stakeholders, clarify the underlying need, and translate it into functional specifications and practical solution designs.
• Build and deliver Salesforce changes end to end, including testing, deployment, go-live, and post-release support.
• Assess changes against Salesforce constraints, data and security models, and their effects on connected processes.
• Administer users, roles, profiles, permission sets, and sharing settings; resolve day-to-day access and platform issues.
• Configure and maintain flows, validation rules, layouts, custom objects, reports, and dashboards.
• Manage sandboxes and releases while protecting data quality and platform stability.
• Support CPQ configuration, including product catalogs, pricing, approvals, and quote templates, and its alignment with opportunity and order processes.
• Maintain connections between Salesforce and other go-to-market tools, including field mappings, sync rules, monitoring, and troubleshooting.
• Coordinate user acceptance testing, training, documentation, and the prioritization of new requests with business stakeholders and the wider applications team.

Required Competence and Skills:

• At least 5 years of experience as a Salesforce Business Analyst and/or Administrator, with experience in a B2B software or SaaS environment.
• Strong understanding of lead-to-cash or quote-to-cash processes and how work and data move between departments.
• Hands-on Salesforce administration experience, including declarative configuration and Tier 1–2 user support.
• Demonstrated ownership of requirements, solution design, implementation, go-live, and subsequent support.
• Sound knowledge of the Salesforce data model, security model, and maintainable automation practices.
• Experience working directly with stakeholders to investigate requests, define scope, and explain technical trade-offs.
• Familiarity with Experience Cloud and Lightning Web Components, and the ability to read and understand Apex code.
• Excellent written and spoken English for working with international colleagues and stakeholders.
• Ability to organize competing project and support priorities, work independently, and seek input when a solution calls for it.

Nice to Have:

• Salesforce Certified Administrator certification or additional Salesforce certifications, such as Advanced Administrator, Platform App Builder, Sales Cloud Consultant, or Business Analyst.
• Experience with DealHub CPQ or another CPQ platform, and with tools such as HubSpot, Gong, or Outreach.
• Experience configuring integrations through native connectors or middleware, including data mapping and sync troubleshooting; familiarity with APIs.
• Experience with Data Loader or other data quality and migration tools, SOQL, and advanced reporting.
• Experience working in Agile teams and using Jira.

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: 
Senior Windows Software Engineer (C# / .NET)
 

About the Role & Product: 
Adaptiq is looking for a Senior Windows Engineer to join an international product team developing a mature commercial enterprise platform. You will work on a substantial codebase, driving features from investigation through implementation to production support, while optimizing system performance and modernizing core components.
 

Key Responsibilities:

• Develop and maintain Windows-based software primarily using C#/.NET.
• Investigate complex issues, debug, and optimize software performance across a mature codebase.
• Work with legacy components, including C++ code when necessary.
• Take end-to-end technical ownership of feature delivery and problem resolution.
• Use AI-assisted development tools (Copilot, Cursor, etc.) in your daily engineering workflow.
   

Required Skills:

• 6+ years of professional software engineering experience with strong expertise in C#/.NET.
• Proven track record in developing and maintaining Windows-based desktop/system software.
• Strong debugging, performance profiling, and problem-solving skills in complex codebases.
• Readiness to read, debug, and modify existing C++ code.
• Practical experience with modern AI coding tools.
• Upper-Intermediate English level (or higher) with strong communication skills.
   

Nice to Have:

• Experience developing endpoint agents, background services (Windows Services), or long-running software.
• Hands-on C++ development experience.
• Background in virtualized desktop environments (VDI).
   

We Offer:

• 100% Fully Remote work model + hardware/coworking support.
• 20 business days of paid vacation + national holidays.
• Full legal and B2B accounting support in Poland.

Job Title:

Senior Windows Engineer
 

About the Role: 
Join an international product team working on a mature, large-scale enterprise platform. You will take full ownership of feature development, performance optimization, and gradual code modernization.
 

Key Responsibilities:

• Develop and optimize Windows software using C# / .NET.
• Debug, profile, and fix performance issues in a large codebase.
• Work with existing C++ components when required.
• Use AI coding tools daily (Cursor, Copilot, etc.).
   

Requirements:

• 6+ years of commercial experience in C# / .NET.
• Strong background in Windows software/services development.
• Hands-on debugging & performance profiling skills.
• Ability to read/modify C++ code.
• B2+ English.
   

Nice to Have:

• Experience with endpoint agents, Windows Services, or VDI.
   

We Offer:

• Fully remote work model + powerful workstation.
• 20 paid vacation days + holidays.
• B2B accounting support in Poland.

Senior Python 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 Opportunity:
We are partnering with an established international product company expanding its technology platform. The engineering environment involves complex microservices, high-performance backend systems, and data processing at scale. The company strongly supports technical ownership, collaboration, and modern engineering practices, including AI-powered technologies.
 

About the Role:
We are looking for a Senior Python Engineer to design, scale, and maintain backend services using Python, cloud technologies, and distributed systems. In this hands-on position, you will own technical solutions across the entire delivery lifecycle and influence key engineering decisions.

A core focus of this role is the practical use of AI coding assistants and agents in your daily workflow to drive development efficiency and code quality. While backend engineering is the primary focus, flexibility to occasionally assist with infrastructure or frontend tasks is appreciated.
 

Key Responsibilities:

• Design, build, and maintain Python microservices (FastAPI) and public/internal APIs.
• Optimize distributed data flows, service-to-service communication, and messaging systems.
• Integrate production AI features (LLMs, prompt-based workflows, AI agents).
• Drive system reliability, performance, observability, and automated testing.
• Participate in architectural discussions, code/design reviews, and cross-service delivery.
   

Requirements:

• 5+ years of backend engineering experience with Python.
• Solid understanding of microservices, distributed systems, and API design.
• Hands-on experience with AWS (managed services) and Docker.
• Experience with asynchronous messaging (e.g., RabbitMQ, SQS, Kafka) and caching systems.
• Daily, intensive use of AI development tools/agents as an integral part of your workflow.
• Strong ownership mindset, ability to work independently, and Upper-Intermediate+ English.
   

Nice to Have:

• Hands-on experience with LLM integrations (Bedrock, OpenAI, Anthropic).
• Knowledge of Kubernetes and CI/CD pipelines.
• Background in Cybersecurity, Big Data, or graph-based modeling.
• Secondary experience with Frontend (especially Angular).
   

What We Offer:

• Fully Remote work model + powerful workstation (and co-working access if needed).
• 20 business days of paid vacation + national holidays.
• Full legal and accounting support.

About the Product:

The product is networking technology used in data center infrastructure. Its software implements and exposes Layer 2 and Layer 3 switching and routing capabilities, including VLANs, forwarding, tunneling, and traffic controls. Automated validation must cover multiple software layers, physical and virtual network devices, and successive hardware generations.

Testing involves more than confirming that a switch can be configured. It must establish that networking features behave correctly, that existing capabilities remain compatible where expected, and that new capabilities and performance requirements are validated. Engineers who understand how switches and routers work beneath the configuration layer are essential to designing effective tests and diagnosing failures.

About the Role:

You will join a distributed Automation and QA team as an individual contributor, owning test work from feature discussions through planning, implementation, review, and ongoing maintenance. You will work closely with developers and other engineering stakeholders to understand new networking features and turn their requirements into reliable Python-based automated tests.

The role combines feature validation with ownership of the infrastructure that supports it. You will improve automation libraries and tools, integrate tests into CI/CD pipelines, investigate execution failures, and reuse existing code where appropriate. Team members review CI results and take responsibility for failures in the areas they know. The position requires independent work in a remote setting, alongside clear communication and collaboration across teams. Critical issues or release periods may occasionally require work outside normal hours.

Key Responsibilities:

• Define test plans, test cases, and validation procedures for new networking features.
• Develop and maintain Python-based automated tests and the libraries that support them.
• Design and improve test automation infrastructure, tools, and processes.
• Work with developers and other stakeholders to clarify feature behavior and test requirements.
• Validate Layer 2 and Layer 3 functionality on physical and virtual switches and routers.
• Integrate automated tests into CI/CD pipelines and improve the reliability of their execution.
• Review test results, investigate failures, and distinguish product defects from automation or environment issues.
• Debug automation execution issues and maintain tests as features and hardware generations evolve.
• Reuse existing infrastructure and code where it provides a sound basis for new tests.
• Document and communicate findings so that issues can be followed through to resolution.

Required Competence and Skills:

• 5+ years of hands-on experience in networking-focused engineering, with deep knowledge of switch or router functionality beyond device configuration.
• Experience developing and troubleshooting Python-based test automation and its supporting infrastructure.
• Strong understanding of L2 and L3 networking, including switching, routing, and protocols or features such as VLANs, forwarding, ACLs, quality of service, and tunneling.
• Experience working with physical and virtual L2/L3 switches or routers.
• Working knowledge of Linux and CI/CD methodology and tools.
• Ability to investigate complex, low-level failures, identify root causes, and drive issues to resolution.
• Clear, structured communication and the ability to work independently while sharing knowledge and supporting cross-functional partners.

Nice to Have:

• Experience reading or programming in C or C++ to investigate the software under test.
• Experience with Docker, Ansible, or Vagrant.
• Experience with networking test equipment or relevant professional networking certifications.

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’re looking for a Principal Software Engineer to help build a platform that brings AI models into production. The product enables engineering teams to deploy and operate LLMs at scale, handling real-world traffic across multi-GPU and multi-node environments.

You’ll work at the intersection of Python development and AI infrastructure, making inference services faster, more efficient, and reliable in production. This is a hands-on role with ownership across development, deployment, and operations.
 

What you’ll do:

• Build Python services and tools for deploying and operating AI workloads.
• Scale and optimize LLM inference across multiple GPUs and compute nodes.
• Configure and tune model-serving frameworks such as vLLM.
• Improve inference performance, GPU memory usage, latency, and throughput.
• Automate infrastructure, deployment, and configuration workflows.
• Strengthen monitoring, testing, and production reliability.
• Troubleshoot complex issues across software and infrastructure.

What we’re looking for:

• Strong Python development experience.
• Hands-on experience running LLM inference services in production.
• Experience with multi-GPU and multi-node model deployment.
• Practical knowledge of vLLM or similar serving frameworks.
• Understanding of GPU memory constraints and inference optimization techniques.
• Experience with infrastructure automation and Infrastructure as Code.
• Strong Linux troubleshooting and production operations skills.

Nice to have: Distributed systems, Kubernetes, cloud infrastructure, networking, or experience building AI platforms and developer tools.

🌍 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 B2B technology company looking for an experienced infrastructure engineer to support and improve its production environments.

This is a hands-on role for someone with strong Linux expertise who enjoys solving complex systems problems, automating operational work, and taking responsibility for service reliability. You will work closely with engineering colleagues to turn technical requirements into infrastructure that is secure, efficient, and straightforward to maintain.

🌟 About the Role:

You will manage Linux infrastructure across physical and virtual environments, supporting its full lifecycle - from initial setup and configuration to maintenance, troubleshooting, and recovery.

Alongside day-to-day operations, you will improve automation, strengthen security practices, and help the team make informed decisions about infrastructure design and deployment. The role requires practical engineering judgment, clear communication, and confidence working with changing priorities.

📈 Key Responsibilities:

• Maintain and improve the availability, performance, and security of production Linux systems.
• Develop automation for infrastructure deployment, configuration, maintenance, and recovery.
• Investigate incidents and resolve issues involving servers, operating systems, connectivity, and storage.
• Manage virtualized and containerized environments, selecting configurations appropriate to operational requirements.
• Apply access controls, system hardening, and resource separation to support secure service delivery.
• Collaborate with engineering teams and external service providers on infrastructure changes and maintenance.
• Improve monitoring, technical documentation, and operational procedures.
• Participate in incident response and the team’s on-call rotation.

💻 Required Competence and Skills:

• 8+ years of experience in infrastructure engineering, systems engineering, SRE, or similar roles.
• Strong experience administering Linux in production, including physical server environments.
• Ability to diagnose operating-system and infrastructure issues beyond the application layer.
• Experience using automation to manage multiple servers consistently.
• Proficiency in Python and practical experience with Terraform.
• Working knowledge of virtualization, containers, networking, and storage.
• Experience maintaining systems remotely and restoring service following failures.
• Understanding of infrastructure security, access management, and workload separation.
• Ability to own technical work from planning through implementation and ongoing support.
• Clear English communication and a collaborative approach to problem-solving.

➕ Nice to Have:

• Experience supporting resource-intensive or performance-sensitive applications.
• Background in hosting, data centers, cloud infrastructure, or managed services.
• Familiarity with hardware selection, capacity planning, and performance optimization.
• Experience working across multiple infrastructure environments or service providers.

🚀 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 is a technology company with investment backing, developing infrastructure for computationally demanding applications. The engineering team is expanding its networking capabilities to support growing customer demand and increasingly complex deployments.

Customers need dependable, protected access to workloads running across interconnected infrastructure. Delivering that access involves coordinating customer networks, telecommunications providers, data centers, cloud services, and Linux systems. The company is looking for an experienced engineer who can bring these components together and establish consistent methods for deploying, monitoring, and supporting customer connectivity.

🌟 About the Role:

In this position you will lead the technical development and operation of the company’s production networking environment. This includes assessing existing implementations, setting architectural direction, delivering changes, and taking responsibility for their ongoing reliability.

Networking currently has no dedicated team, and the architecture remains open to development. You will have substantial autonomy to establish technical standards, choose implementation approaches, and shape operating practices.

Your scope will extend from customer access points to the systems executing their workloads. Alongside routing and security, you will address the connections between facilities, external providers, cloud environments, and individual hosts. You will also help engineers provision new customer connections through reusable configurations and automation.

📈 Key Responsibilities:

• Assess the existing network, define architectural direction, and own implementation, automation, and production reliability.
• Design and operate connectivity between customer environments and compute workloads across telecom networks, infrastructure partners, hosting facilities, and cloud environments.
• Configure and maintain VLANs, VRFs, segmentation, and firewall policies.
• Define tenant-isolation controls and verify their effectiveness under production conditions.
• Implement secure private access using IPsec, WireGuard, or overlays, including tunnel termination and site-failure handling.
• Build and maintain data-center fabric connectivity and its integration with external providers and cloud services.
• Plan and deliver cross-connects, internet transit, private circuits, and network-as-a-service connections, accounting for lead times, provider dependencies, and commercial constraints.
• Automate network setup and customer connectivity using Python and Terraform, building reusable workflows that other engineers can run safely and consistently.
• Establish observability across hosts, tunnels, overlays, physical networks, cloud services, and carriers.
• Investigate connectivity and performance incidents across organizational boundaries, using technical evidence to identify the failing layer.
• Collaborate with infrastructure and platform engineers on topology, reliability, and performance for high-bandwidth, multi-node workloads.
• Participate in the on-call rotation and improve operational practices based on production experience.

💻 Required Competence and Skills:

• Hands-on production experience with routing between different networks, including diagnosing unexpected routing behavior.
• Experience designing and operating VLANs, VRFs, segmentation, and firewall policies.
• Experience implementing tenant isolation and validating it under real operating conditions.
• Strong Linux networking troubleshooting skills on hosts carrying production traffic.
• Experience with data-center networking and networking services in at least one major cloud platform.
• Production experience supporting customer connectivity built on IPsec or WireGuard.
• Ability to trace packet flows and troubleshoot issues across systems and networks managed by different organizations.
• Experience replacing manually maintained network configurations with reliable automation.
• Practical Python and Terraform skills, including automation used by other engineers in production. 
• Understanding of how network design affects the reliability and performance of distributed workloads.
• Ability to make, implement, and explain technical decisions with incomplete requirements.
• Clear English communication and effective collaboration across engineering disciplines.

➕ Nice to Have:

• Experience with a cloud or hosting provider, data-center or network operator, infrastructure company, or enterprise networking vendor.
• Experience supporting HPC, storage, or other bandwidth-intensive environments.
• Experience with carriers, cross-connects, internet transit, private circuits, or network-as-a-service platforms.
• Experience creating connectivity workflows that non-network engineers can deploy safely.

🚀 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 develops software that helps engineering teams deploy and manage AI workloads in production. The platform simplifies infrastructure operations and supports reliable, scalable services across different deployment environments.

🌟 About the Role:

We are looking for a Senior Software Engineer to develop platform capabilities supporting AI model deployment and operation.

You will combine Python development with hands-on infrastructure engineering, improving the tools and services that help teams bring AI workloads into production. Your work will include performance optimization, automation, and operational reliability.

You will collaborate with other engineers, contribute to technical decisions, and take ownership of your work from design through deployment and ongoing support. The role includes participation in an on-call rotation.

📈 Key Responsibilities:

• Develop Python services and tools supporting AI workloads.
• Deploy, operate, and scale LLM inference services to meet the needs of active users and production traffic.
• Configure and optimize model execution across multiple GPUs and compute nodes.
• Build and improve automated deployment and configuration workflows.
• Integrate and configure model-serving technologies.
• Analyze system performance and improve scalability, resource efficiency, and reliability.
• Design tests to evaluate production readiness and identify performance bottlenecks.
• Improve monitoring, diagnostics, and recovery processes.
• Investigate production issues across software and infrastructure components.
• Contribute to architecture discussions, code reviews, and technical documentation.
• Collaborate with engineering teams to translate requirements into maintainable solutions.

💻 Required Competence and Skills:

• Strong Python development skills and experience building maintainable production software.
• Hands-on experience operating LLM inference services in production, supporting active users and real-world traffic.
• Practical experience deploying and serving models across multi-GPU configurations and multi-node environments.
• Experience configuring and tuning an LLM-serving framework, such as vLLM or a comparable technology.
• Practical understanding of GPU memory constraints and how they affect model deployment and execution.
• Experience evaluating performance under load and interpreting latency, throughput, and resource usage.
• Familiarity with techniques for reducing model memory requirements and improving inference efficiency.
• Experience with infrastructure automation and infrastructure-as-code tools.
• Strong Linux troubleshooting skills.
• Experience supporting production services, including monitoring and incident resolution.
• Ability to work independently, assess technical trade-offs, and communicate decisions clearly.
• Clear written and spoken English.

➕ Nice to Have:

• Experience with distributed systems or large-scale compute environments.
• Familiarity with multiple model-serving technologies.
• Experience with container orchestration and cloud infrastructure.
• Understanding of networking and its impact on application performance.
• Experience building tools for resource management, deployment, or operational automation.
• Background in AI platforms, developer tools, or infrastructure software.

🚀 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.

🔌 QA Automation Engineer (Networking): Test the Switches That Power Data Centers

The challenge:

Every cloud service, every stream, every transaction travels through a data center network, and somewhere in that network, a switch has to forward the right packet to the right place, every single time.

Our client builds networking technology for data center infrastructure. Its software implements Layer 2 and Layer 3 switching and routing: VLANs, forwarding, tunneling, traffic controls, and more. Validation has to cover multiple software layers, physical and virtual devices, and successive generations of hardware.

And “can we configure the switch?” is only the beginning. You’ll need to prove that features behave correctly, that existing capabilities stay compatible, and that new functionality and performance targets are met. That takes engineers who understand how switches and routers work beneath the configuration layer, both to design effective tests and to find out why something failed.

Your role:

You’ll join a distributed Automation and QA team as an individual contributor, owning your work from the first feature discussion through planning, implementation, review, and long-term maintenance. You’ll work closely with developers to understand new networking features and turn their requirements into reliable, Python-based automated tests.

The role combines two things: validating features, and owning the infrastructure that makes validation possible. You’ll improve automation libraries and tools, integrate tests into CI/CD, investigate execution failures, and reuse existing code where it makes sense. Team members review CI results and take responsibility for failures in the areas they know best.

What you’ll do:

• Define test plans, test cases, and validation procedures for new networking features
• Build and maintain Python test automation and the libraries behind it
• Design and improve automation infrastructure, tools, and processes
• Clarify feature behavior and test requirements with developers and stakeholders
• Validate L2 and L3 functionality on physical and virtual switches and routers
• Integrate tests into CI/CD pipelines and make their execution more reliable
• Analyze results and tell product defects apart from automation or environment issues
• Debug execution problems and keep tests current as features and hardware evolve
• Document findings so issues can be tracked through to resolution

What you bring:

• 5+ years in networking-focused engineering, with deep knowledge of switch or router functionality beyond device configuration
• Experience developing and troubleshooting Python-based test automation and its infrastructure
• Strong understanding of L2 and L3 networking: switching, routing, VLANs, forwarding, ACLs, QoS, tunneling
• Hands-on work with physical and virtual L2/L3 switches or routers
• Working knowledge of Linux and CI/CD tools and methodology
• Ability to investigate complex, low-level failures and drive them to resolution

• Clear, structured communication and the ability to work independently while supporting cross-functional partners

   

Bonus points:

✦ Reading or programming in C or C++ to investigate the software under test
✦ Docker, Ansible, or Vagrant
✦ Networking test equipment experience or professional networking certifications

Why us:

• 20 days of vacation per year, plus official national holidays in your country of residence
• Full accounting and legal support in all countries where we operate

• Fully remote model with a powerful workstation and co-working space when you need it

   

If you love knowing exactly what happens inside a switch, and proving it with code, let’s talk.

Who we are:

Adaptiq is a technology hub focused on building, scaling, and supporting R&D teams for high-growth product companies across a broad range of industries.
 

About the Product:

Our client is a leading online gaming operator developing a new transactional platform for user account management. The platform is being built from scratch and will operate in a highly regulated, high-volume environment, supporting millions of concurrent users.

It will process real-time financial transactions and must provide high availability, sub-second response times, strong data integrity, security, and complete auditability. A major technical challenge is ensuring stable performance and reliability during peak events and significant traffic spikes.

The team is looking for strong engineering expertise to help architect and develop a scalable, high-performance, and resilient backend platform while meeting strict security, regulatory, and compliance standards.
 

About the Role:

As a Senior Java Engineer, you will build and design the core backend services of the PAM platform from the ground up. You will take end-to-end ownership of features, covering technical design, implementation, automated testing, production monitoring, and release.

You will collaborate closely with Principal Engineers on architecture and key technical decisions, contribute to RFCs, and deliver production-ready solutions. The role offers a high degree of autonomy and direct influence on the platform architecture, together with responsibility for reliability, performance, and correctness within a critical financial system.
 

Key Responsibilities:

• Design and develop backend services using Java 17+ and Spring Boot or a similar framework, covering wallet transactions, ledger entries, payment orchestration, bonus mechanics, and account state management.
• Build REST APIs and event-driven integrations with Kafka or similar technologies for player-facing applications, operational tools, and external partners.
• Maintain system correctness and reliability through idempotent operations, well-defined transaction boundaries, explicit failure handling, and comprehensive unit, integration, and contract testing.
• Incorporate regulatory requirements directly into the platform, including KYC/AML checks, responsible gaming controls, and audit trails.
• Ensure production readiness through metrics, structured logging, distributed tracing, alerting, and participation in on-call rotations.
• Participate in technical design discussions and RFCs, conduct code reviews, and support and mentor other engineers.
• Integrate AI-assisted development tools into the daily engineering workflow while following established platform standards for prompts and context.
• Support the 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 designing, building, and operating high-integrity transactional systems in areas such as payments, wallets, billing, banking, e-commerce, or gaming.
• Strong knowledge of relational databases such as PostgreSQL, including schema design, ACID transactions, locking, and query/performance optimization.
• Experience working with event-driven architectures and messaging technologies such as Kafka, RabbitMQ, or similar, including idempotency and retry mechanisms.
• Strong automated testing practices, including unit, integration, and contract testing as part of the regular development lifecycle.
• Practical production experience with containers, CI/CD pipelines, monitoring and telemetry, as well as troubleshooting production incidents.
• Solid knowledge of multi-threading, system architecture, and fault-tolerant design patterns.
• Good written and spoken English and experience collaborating effectively across distributed, multi-time-zone teams.
   

Nice to Have:

• Experience in iGaming, sports betting, fintech, or another regulated domain with high transaction volumes.
• Hands-on exposure to Kubernetes and AWS technologies, including VPC, IAM, EKS, and auto-scaling.
• Experience building systems with compliance requirements such as KYC/AML, responsible gaming, and auditability.
• Practical experience using AI coding assistants and agentic development workflows.
• Polish and/or Spanish language skills.
   

Why Us:

We provide 20 days of paid vacation per calendar year, in addition to the official national holidays of the country where you are based.

We offer full accounting and legal support across all countries where we operate.

We follow a fully remote work model and provide a powerful workstation, as well as access to a co-working space whenever needed.

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 Opportunity

Our client is an international product company focused on advancing its technology platform and building innovative, scalable solutions.

The platform brings together multiple interconnected services, requiring robust architecture, seamless integrations, and efficient data processing. The engineering team tackles complex backend challenges, enhances existing functionality, and develops new capabilities while maintaining high standards of performance and reliability.

The company fosters a collaborative, ownership-driven engineering culture and actively integrates AI-powered technologies to streamline development and support ongoing product innovation.
 

About the Role

We are looking for a skilled Senior Python Engineer to join an international product development team.

In this hands-on role, you will design, build, and maintain backend services, enhance existing functionality, and develop new product features using Python, modern frameworks, cloud technologies, and distributed systems.

You will have the opportunity to influence architectural decisions, participate in technical discussions, and take ownership of solutions from design to production.

A key part of this role is the active use of AI-assisted development tools and coding agents. We are looking for someone who already uses these technologies extensively in daily development to accelerate delivery, solve engineering challenges, and maintain high code quality.

While the main focus is backend engineering, we value a flexible mindset and a willingness to occasionally contribute to frontend or infrastructure-related tasks.
 

Key Responsibilities

• Design, develop, and maintain scalable Python backend services and FastAPI-based microservices.
• Build and enhance APIs, internal service communication, and external integrations.
• Optimize distributed systems, asynchronous messaging, and data processing workflows.
• Participate in architecture discussions, technical reviews, and feature development.
• Develop and support AI-powered functionality, including LLM integrations and prompt-based workflows when applicable.
• Ensure high standards of performance, scalability, testing, observability, and reliability.
• Troubleshoot production issues, resolve defects, and improve existing services.
• Collaborate across teams and repositories to deliver complex technical solutions.
• Integrate AI-powered coding tools into daily development and help shape best practices for their effective use.
   

Required Skills & Experience

• 5+ years of professional Python backend development experience.
• Strong knowledge of microservices architecture and distributed systems.
• Proven experience building enterprise-level web services with FastAPI, Django, or similar Python frameworks.
• Hands-on experience designing APIs, building integrations, and implementing service-to-service communication.
• Experience with asynchronous messaging technologies, such as Kafka, RabbitMQ, AWS SQS, or equivalent solutions.
• Practical experience developing, deploying, and maintaining cloud applications using AWS and its managed services.
• Experience with Docker and containerized environments.
• Strong practical experience with AI coding tools and agents, actively used as part of everyday software development rather than occasional assistance.
• Ability to work independently, make technical decisions, and take full ownership of features from design to delivery.
• Excellent English communication skills.
   

Nice to Have

• Experience integrating LLMs, AI models, or AI-powered features into production applications.
• Familiarity with Kubernetes, CI/CD pipelines, and modern deployment workflows.
• Experience building data-intensive applications and processing large volumes of information.
• Frontend development experience, particularly with Angular.
• Exposure to cloud infrastructure, deployment automation, or platform engineering.
• Previous technical leadership experience or an interest in growing into a leadership role.
   

Why Join Us?

• 20 days of paid vacation annually, plus official public holidays in your country of residence.
• Full accounting and legal support in all countries where we operate.
• Fully remote work with a powerful workstation and access to a co-working space if needed.

Job Title:

Principal Systems Infrastructure 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 B2B technology company looking for an experienced infrastructure engineer to support and improve its production environments.

This is a hands-on role for someone with strong Linux expertise who enjoys solving complex systems problems, automating operational work, and taking responsibility for service reliability. You will work closely with engineering colleagues to turn technical requirements into infrastructure that is secure, efficient, and straightforward to maintain.

About the Role:

You will manage Linux infrastructure across physical and virtual environments, supporting its full lifecycle - from initial setup and configuration to maintenance, troubleshooting, and recovery.

Alongside day-to-day operations, you will improve automation, strengthen security practices, and help the team make informed decisions about infrastructure design and deployment. The role requires practical engineering judgment, clear communication, and confidence working with changing priorities.

Key Responsibilities:

• Maintain and improve the availability, performance, and security of production Linux systems.
• Develop automation for infrastructure deployment, configuration, maintenance, and recovery.
• Investigate incidents and resolve issues involving servers, operating systems, connectivity, and storage.
• Manage virtualized and containerized environments, selecting configurations appropriate to operational requirements.
• Apply access controls, system hardening, and resource separation to support secure service delivery.
• Collaborate with engineering teams and external service providers on infrastructure changes and maintenance.
• Improve monitoring, technical documentation, and operational procedures.
• Participate in incident response and the team’s on-call rotation.

Required Competence and Skills:

• 8+ years of experience in infrastructure engineering, systems engineering, SRE, or similar roles.
• Strong experience administering Linux in production, including physical server environments.
• Ability to diagnose operating-system and infrastructure issues beyond the application layer.
• Experience using automation to manage multiple servers consistently.
• Proficiency in Python and practical experience with Terraform.
• Working knowledge of virtualization, containers, networking, and storage.
• Experience maintaining systems remotely and restoring service following failures.
• Understanding of infrastructure security, access management, and workload separation.
• Ability to own technical work from planning through implementation and ongoing support.
• Clear English communication and a collaborative approach to problem-solving.

Nice to Have:

• Experience supporting resource-intensive or performance-sensitive applications.
• Background in hosting, data centers, cloud infrastructure, or managed services.
• Familiarity with hardware selection, capacity planning, and performance optimization.
• Experience working across multiple infrastructure environments or service providers.

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.