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:

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

About the Role:

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

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

Key Responsibilities:

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

Required Competence and Skills:

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

Nice to Have:

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

Why Us:

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

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

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

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

About the Product:

The company develops an advanced monitoring and analytics platform for complex hardware systems. Using embedded data collection, large-scale analytics, and machine learning, the product captures data across development, production, and live operation, providing real-time visibility into system performance, quality, and reliability.

The platform processes large volumes of data in complex environments and helps customers prevent failures, optimize performance, and improve overall system quality. From an infrastructure perspective, it relies on cloud-based and distributed systems, supported by Kubernetes, CI/CD pipelines, infrastructure as code, and monitoring tools.

About the Role:

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

Key Responsibilities:

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

Required Competence and Skills:

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

Nice to Have:

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

🚀 Who we are:

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

📍 About the Product:

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

Operating at global scale, the platform processes millions of events and terabytes of geospatial data daily. 

About the Role:

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

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

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

📍 Key Responsibilities:

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

📍 Required Competence and Skills:

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

Nice to Have:

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

Why Us:

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

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

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

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

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

🧩 About AppsFlyer:

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

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

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

🌟 About the Role:

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

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

📈 Key Responsibilities:

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

💻 Required Competence and Skills:

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

➕ Nice to Have:

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

🚀 Benefits Package includes:

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

About AppsFlyer:

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

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

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

About the Role:

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

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

Key Responsibilities:

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

Required Competence and Skills:

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

Nice to Have:

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

Benefits Package includes:

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

Who we are:

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

About the Product:

We are developing a security and compliance platform that helps organizations identify, prioritize, and remediate security risks across employee devices.

This solution provides real-time detection, prioritization, and automated remediation of endpoint security and compliance risks across large, distributed environments. It continuously ingests and analyzes telemetry from thousands of devices. 

About the Role:

You will join a newly formed engineering team building a next-generation, high-scale data platform from the ground up. The platform will aggregate and process large volumes of streaming data from multiple products, providing a unified view across the ecosystem. As one of the first engineers on the team, you’ll help shape the architecture, establish engineering best practices, and build scalable solutions for one of the company’s highest-volume data platforms.

Responsibilities:

• Develop scalable backend services and APIs using Java, TypeScript, gRPC, and Protobuf. 
• Develop and maintain event-driven pipelines using Kafka, stream-processing technologies (Flink or others), PostgreSQL, ClickHouse, and Redis. 
• Write, analyze, and tune complex SQL queries; improve query plans, indexing, and overall database performance.
• Develop and enhance frontend features using TypeScript and React.
• Build and maintain features related to employees, departments, devices, and role-based access control (RBAC).
• Improve the platform’s scalability, reliability, performance, observability, and cost efficiency.
• Investigate and resolve production issues, identifying and eliminating bottlenecks across services, data pipelines, and databases.
• Own features end-to-end, from technical design and implementation to production delivery.
• Collaborate in a small, highly autonomous team, contributing to architecture decisions and shaping the future of the platform.

Required Competence and Skills:

• 10+ years of experience building production-grade backend systems, with strong expertise in Java, distributed architectures, and scalable data-processing systems.
• Hands-on experience with Kafka and event-driven streaming architectures, including topic design, partitioning, consumer groups, and delivery guarantees.
• Practical experience with Apache Flink (preferred) or another stream-processing framework.
• Strong experience with PostgreSQL and ClickHouse or similar OLAP databases (e.g. TimescaleDB, Aerospike), including data modeling, query optimization, indexing, and performance tuning; familiarity with Redis and caching strategies.
• Experience with gRPC, Protobuf, and building high-volume, low-latency data processing systems.
• Experience implementing RBAC, permission models, and multi-tenant architectures.
• Experience developing frontend applications with TypeScript and React.
• Strong hands-on experience with AI coding agents (e.g. Claude Code, GitHub Copilot, Cursor), including validation of AI-generated code.
• Familiarity with CI/CD, Docker, Kubernetes, and observability in production environments.
• Proven experience as a key contributor to complex backend and data-platform projects, with the ability to work independently and deliver scalable solutions.

Nice to Have:

• Experience building Kafka-based data pipelines that integrate data from multiple backend systems.
• Experience with identity and access management solutions such as Okta, Active Directory, SCIM, or SSO.
• Hands-on experience with cloud platforms (Azure or AWS) and data-intensive infrastructure.
• Experience integrating AI/LLM capabilities into production backend systems.

Why Us:

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

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

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

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

Who we are:

Adaptiq is a technology hub 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 a security and compliance platform that enables organizations to detect, prioritize, and resolve security risks across employee devices.

The platform provides real-time identification, assessment, and automated remediation of endpoint security and compliance issues across large, distributed environments. It continuously collects and processes telemetry from thousands of devices. Powered by event-driven streaming infrastructure and data-intensive services, the solution must maintain high levels of reliability, performance, and cost efficiency as it scales.
 

About the Role:

You will join a newly established engineering team responsible for building a next-generation, high-scale data platform from scratch. The platform will collect and process substantial volumes of streaming data from multiple products, creating a unified view across the broader ecosystem.

As one of the first engineers to join the team, you will play an important role in defining the architecture, introducing engineering best practices, and developing scalable solutions for one of the company’s most data-intensive platforms.
 

Responsibilities:

• Design and develop scalable backend services and APIs using Java, TypeScript, gRPC, and Protobuf.
• Build and maintain event-driven data pipelines using Kafka, stream-processing technologies such as Flink, PostgreSQL, ClickHouse, and Redis.
• Write, review, and optimize complex SQL queries, improving query execution plans, indexing strategies, and overall database performance.
• Develop and improve frontend functionality using TypeScript and React.
• Build and support features related to employees, departments, devices, and role-based access control.
• Enhance the platform’s scalability, reliability, performance, observability, and cost efficiency.
• Investigate and resolve production incidents, identifying and removing bottlenecks across backend services, data pipelines, and databases.
• Take end-to-end ownership of features, from technical design and implementation through production release.
• Work closely with a small, highly autonomous team, contributing to architectural decisions and the long-term direction of the platform.
   

Required Competence and Skills:

• 10+ years of experience developing production-grade backend systems, with strong expertise in Java, distributed architectures, and scalable data-processing solutions.
• Hands-on experience with Kafka and event-driven streaming systems, including topic design, partitioning, consumer groups, and delivery guarantees.
• Practical production experience with Apache Flink or another stream-processing framework.
• Strong experience with PostgreSQL and ClickHouse or comparable OLAP databases, such as TimescaleDB or Aerospike, including data modeling, query optimization, indexing, and performance tuning.
• Familiarity with Redis and effective caching strategies.
• Experience with gRPC, Protobuf, and high-volume, low-latency data-processing systems.
• Experience designing and implementing RBAC, permission models, and multi-tenant architectures.
• Experience building frontend applications with TypeScript and React.
• Strong practical experience using AI coding agents such as Claude Code, GitHub Copilot, or Cursor, including reviewing and validating AI-generated code.
• Familiarity with CI/CD practices, Docker, Kubernetes, and production observability.
• Proven experience as a key contributor to complex backend or data-platform projects, with the ability to work independently and deliver scalable solutions.
   

Nice to Have:

• Experience developing Kafka-based data pipelines that consolidate data from multiple backend systems.
• Experience with identity and access management technologies such as Okta, Active Directory, SCIM, or SSO.
• Hands-on experience with Azure or AWS and data-intensive cloud infrastructure.

• Experience integrating AI or LLM capabilities into production backend systems.

   

Why Us:

• 20 days of paid vacation per calendar year, in addition to the official public holidays of the country where you are based.
• Full accounting and legal support in all countries where we operate.
• A fully remote work model, including a powerful workstation and access to a co-working space when needed.
• A competitive compensation package with annual performance and salary reviews.

Location: Romania

🌍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 developing a cutting-edge cybersecurity analytics platform designed to give enterprises a comprehensive understanding of their digital environments and security posture. The system continuously aggregates and correlates large-scale data from multiple sources, applies graph-based modeling and AI-driven analytics, and delivers real-time insights that help organizations prioritize and remediate high-impact risks. 

🌟About the Role:

This is a hands-on Senior Backend Engineer role in the central platform team, focused on developing and scaling the core services behind a cybersecurity platform. The role involves designing and maintaining APIs, building reliable backend systems, and contributing to AI-driven features used in production. In collaboration with cross-functional teams, you’ll help shape system architecture, improve performance and observability, and ensure the platform remains stable and scalable. The work has a direct impact on product capabilities, integrations, and the overall user experience.

📈Key Responsibilities:

• Develop and maintain backend services powering the platform (primarily Python/FastAPI-based microservices)
• Design, build, and evolve APIs used across internal services and external integrations
• Ensure API reliability, scalability, and clear communication between distributed services
• Contribute to building scalable and reliable distributed systems (messaging, data flow, service communication)
• Participate in development of AI-powered features (LLM integrations, prompt-based workflows)
• Improve system quality: testing, observability, performance, and reliability
• Collaborate with other teams when working across multiple services and repositories
• Use modern development tools, including AI-assisted coding, to improve productivity and code quality
• Take ownership of tasks and proactively drive them to completion

💻Required Competence and Skills:

• 5+ years of backend development experience with Python
• Strong hands-on experience with FastAPI
• Solid understanding of distributed systems and microservices architecture
• Experience working with APIs (design, integration, service-to-service communication)
• Experience with async messaging systems (e.g., RabbitMQ, SQS, SNS or similar)
• Hands-on experience with AWS, including building and running cloud-based services using managed components
• Experience working with Docker / containerized environments
• Experience working with AI tools and coding agents (e.g., Claude or similar) in daily development workflows
• Strong ownership mindset and ability to work independently
• Excellent English and communication skills

➕Nice to Have:

• Experience building LLM-based features (Bedrock, OpenAI, Anthropic, etc.)
• Experience with Kubernetes and CI/CD pipelines
• Familiarity with data platforms (Databricks, Spark)
• Background in cybersecurity domain

🚀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.

Position is only for candidates located in 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 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 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:

• Experience developing in Golang;
• 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:

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.