Adaptiq

Who we are:

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

About the Product:

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

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

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

About the Role:

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

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

Key Responsibilities:

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

Required Competence and Skills:

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

Nice to Have:

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

Why Us:

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

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

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

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:

Vetric provides a public data intelligence API that ingests and structures high-volume web and continuous video feeds from major social networks, including LinkedIn, Facebook, Instagram, TikTok, Twitter and YouTube, to surface real-time signals for cybersecurity, public safety and digital risk protection platforms. Its infrastructure processes tens of millions of data requests daily and supports analytics on large-scale stores such as ClickHouse, ScyllaDB, DynamoDB, RDS and Redis. By enabling detection of bad actors, impersonations, fake news, extremists and brand abuse, Vetric solves critical visibility gaps across security and compliance workflows. The scale and data intensity of its mission-critical pipelines demand production-grade reliability, deep engineering rigor and long-term operational excellence to deliver consistent, actionable intelligence.

About the Role:

You will join Vetric’s infrastructure team in the Krakow engineering hub as a Senior DevOps Engineer, reporting to the DevOps Team Leader. In this role you will own the end-to-end delivery of advanced cloud infrastructure, from designing and coding new platform components through production hardening and operational support. You will work closely with teams in Poland and Israel, exercise high autonomy, and make strategic technical trade-offs that influence the reliability, security and cost-efficiency of Vetric’s global data pipelines. Your contributions—migrating container workloads, evolving IaC frameworks, scaling data-intensive systems and enforcing observability standards—will directly shape the performance and resilience of the product at scale.

Key Responsibilities:

• Architect and execute zero-downtime migration of container workloads from AWS ECS Fargate to Kubernetes (EKS).
• Design, develop and maintain modular Infrastructure as Code across multiple environments using Terraform and OpenTofu.
• Evolve enterprise CI/CD pipelines with GitHub Actions, OIDC federation and safe rollout strategies to improve deployment safety and developer velocity.
• Monitor and tune performance, capacity and resilience of high-volume data infrastructure including ClickHouse, ScyllaDB, DynamoDB, RDS and Redis.
• Implement and enforce reliability and observability standards using telemetry tools such as OpenTelemetry, Coralogix and Grafana.
• Make data-driven trade-offs balancing speed, security (least-privilege, zero-trust) and cost efficiency (FinOps).
• Collaborate across distributed teams to build secure, compliant and scalable cloud infrastructure aligned with organizational requirements.
• Own on-call rotations, incident management and operational response processes driven by signal over noise.

Required Competence and Skills:

• 5+ years of hands-on experience in DevOps, Infrastructure or Cloud Engineering in data-intensive, high-throughput environments.
• Advanced AWS expertise across compute, networking (VPC, DNS, segmentation), IAM and scalability patterns.
• Production-scale Kubernetes mastery (EKS), including cluster architecture, optimization and heavy-load operations.
• Expertise in Terraform or equivalent IaC tools plus scripting or software engineering in Python, Go or TypeScript; strong Bash skills.
• Deep understanding of container orchestration (Docker, ECS) and modern CI/CD practices with safe rollout mechanisms.
• Proven track record building observability and alerting stacks (metrics, logs, traces, SLOs) at scale.
• Strong communication skills, pragmatic leadership and ability to work autonomously in high-velocity teams.

Nice to Have:

• Direct experience migrating production workloads from ECS to Kubernetes.
• Familiarity with EKS ecosystem tools (Karpenter, ArgoCD/Flux, KEDA, VPC CNI).
• Experience operating wide-column or analytical databases at scale such as ClickHouse or ScyllaDB.

Senior DevOps Engineer (Kraków, 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:

We build foundational public data infrastructure that powers mission-critical platforms in cybersecurity, public safety and digital risk protection. Our systems ingest and structure high-volume web data and continuous video feeds from major social networks via a stable API, delivering reliable signals that integrate into core customer products. We operate a multi-account AWS environment handling tens of millions of data requests daily and support analytics on high-scale data stores such as ClickHouse, ScyllaDB, DynamoDB, RDS and Redis. Engineering discipline, long-term thinking and operational excellence underpin our work—every data flow is production-grade and designed for scale, reliability and depth.

About the Role:

We are seeking a Senior DevOps Engineer to join our infrastructure team in a European engineering hub. Reporting to the DevOps Team Leader, you will own end-to-end delivery of advanced infrastructure initiatives—from design and implementation through production hardening. You will tackle real-world challenges including migrating container workloads from ECS Fargate to Kubernetes without downtime, evolving Infrastructure as Code frameworks, scaling data-intensive pipelines, and enforcing robust observability and reliability standards. This role offers high autonomy, direct impact on global products, and the opportunity to set the technical bar for operational excellence.

Key Responsibilities:

• Architect and execute migration of container workloads from ECS Fargate to Kubernetes (EKS) with zero downtime.
• Design and maintain modular Infrastructure as Code using Terraform and OpenTofu across multiple environments.
• Evolve enterprise CI/CD pipelines with GitHub Actions and OIDC federation to improve developer velocity and deployment safety.
• Oversee performance, capacity and resilience of high-volume data infrastructure (ClickHouse, ScyllaDB, DynamoDB, RDS, Redis) and event-driven messaging.
• Implement and enforce reliability and observability standards using telemetry tools (OpenTelemetry, Coralogix, Grafana).
• Make data-driven tradeoffs balancing speed, security (least-privilege, zero-trust access) and cost efficiency (FinOps).
• Collaborate across distributed teams to deliver secure, compliant and scalable cloud infrastructure.
• Own operational responses, on-call rotations and incident management driven by signal, not noise.

Required Competence and Skills:

• 5+ years of hands-on experience in DevOps, Infrastructure or Cloud Engineering in data-intensive, high-throughput environments.
• Advanced AWS expertise across compute, networking (VPC, DNS, segmentation), IAM and scalability patterns.
• Production-scale Kubernetes mastery (EKS), including cluster design, optimization and heavy load management.
• Expertise in Terraform (or equivalent) and scripting/software engineering in Python, Go or TypeScript; strong Bash skills.
• Deep understanding of container orchestration (Docker, ECS) and modern CI/CD with safe rollout strategies.
• Proven track record building observability and alerting stacks (metrics, logs, traces, SLOs) at scale.
• Strong communication skills, pragmatic leadership and ability to work autonomously in high-velocity teams.

Nice to Have:

• Direct experience migrating production workloads from ECS to Kubernetes.
• Familiarity with EKS ecosystem tools (Karpenter, ArgoCD/Flux, KEDA, VPC CNI).
• Experience operating wide-column or analytical databases at scale (ClickHouse, ScyllaDB).

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 Eureka Labs, is looking for a Block-Builder Engineer

About the Eureka Labs:

Eureka Labs runs a next-generation Ethereum block builder that operates live on mainnet across multiple regions, processing high volumes of DeFi transactions and competing in sub-millisecond latency auctions. It augments Ethereum’s capabilities, unlocks new DeFi primitives like intrablock lending, and enforces neutral, verifiable block construction via trusted execution. 

About the Role:

As a Senior Block-Builder Engineer at Eureka, you will own a production-grade, low-latency block-building platform and the systems that extend it: the seal-and-submit critical path, block-construction and bidding algorithms, parallel simulation, secure builder↔relay communication, and the off-chain logic that connects to a new on-chain lending protocol and a trust-minimized (TEE-based) execution model. You'll turn open-ended problems - "how do we decide and bid faster than the competition," "how do we let capital be borrowed and repaid safely inside one block," "how do we prove we behaved honestly without exposing our edge" - into shipped, measurable systems.

Key Responsibilities:

• Integrate and process sources: implement order-flow ingestion, bundle and transaction handling, relay submission paths, back-pressure controls, and channel reintegration into each block.
• Develop observability as a product: build and improve Grafana, Prometheus, Loki telemetry, and SQL analytics; identify and fix misleading counters and dashboards.
• Design and run production experiments: configure A/B tests, extract data, analyze results, and report clear conclusions.
• Ensure system reliability: diagnose and fix panics, dropped messages, and latency regressions; author tests to prevent regressions.
• Collaborate on optimization-driven block construction, contributing to protocol-level logic and execution extension (BEX).
• Support the on-chain intrablock lending protocol: implement off-chain and on-chain components within the trusted-execution layer.
• Ramp into the exchange layer: design and maintain high-throughput services that interface with trading systems.

Required Competence and Skills:

• At least 2-4 years of professional software engineering experience, with hands-on experience shipping and operating software in production.
• At least 2 years of experience with Ethereum or EVM-compatible blockchain protocols.
• Production Rust experience is a strong plus. Solid backend or systems engineering experience in Go, C++, or Java, combined with a strong motivation and ability to become productive in Rust, will also be considered.
• Comfort working with concurrent and real-time systems and navigating a large existing codebase.
• Strong data fluency, including SQL and experience working with databases or logs to investigate system behavior and validate whether changes actually improved performance. Comfortable using Python for analysis or tooling.
• Familiarity with or willingness to learn monitoring and analytics tooling, with the ability to identify when metrics, counters, or dashboards may be misleading.
• Careful and data-driven engineering habits: you test your work thoroughly, validate assumptions against production data, and clearly distinguish between what is verified and what is assumed.
• Curiosity and self-direction: you are motivated to investigate why production metrics change, identify root causes, and iterate on solutions rather than simply closing assigned tasks.
• Fluent English communication skills and willingness to work within Eureka Labs’ hybrid office-first model in Poland.

Nice to Have:

• Interest in or exposure to Ethereum/PBS/MEV, smart contracts, or trading systems.
• Experience with high-throughput data pipelines, time-series processing, or large-scale analytics.
• Exposure to reth/geth/revm internals or running services on Kubernetes/Docker.

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 an AI-first platform that brings together multiple maritime data sources into a single, unified operational view. The platform creates a digital twin of global maritime activity and uses behavioral analytics together with predictive AI models to identify risks such as smuggling, illegal fishing, container risk, and other compliance or security threats.

The system delivers mission-grade intelligence for both commercial and government stakeholders.

Operating at global scale, the platform processes millions of events and terabytes of geospatial data every day. It is built on cloud infrastructure and microservices, and is closely connected with research prototypes developed by data science teams.
 

About the Role:

You will become part of an autonomous team focused on building agentic AI capabilities within a production-grade maritime intelligence platform.

As a Senior AI Engineer, you will design, develop, and deploy production-ready AI systems based on LLMs, autonomous agents, and retrieval-augmented generation (RAG). You will be involved across the full AI application lifecycle - from experimentation and prompt engineering to scalable deployment, evaluation, monitoring, and continuous improvement.

You will work closely with platform engineers, researchers, and product teams to turn 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.
• Develop and optimize autonomous AI agents that can plan, use tools, make decisions, and handle complex operational tasks.
• Integrate foundation models and LLM APIs into scalable systems, including retrieval pipelines, vector search, prompt orchestration, and AI memory.
• Create AI evaluation and observability frameworks, including hallucination detection, trace analysis, model performance monitoring, experimentation, and continuous improvement.
• Build scalable Python backend services and connect AI capabilities with distributed production systems.
• Collaborate with research and product teams to productionize new AI capabilities and bring them from experimentation to reliable real-world usage.
• Own technical decisions and promote 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 such as Golang, Rust, TypeScript, Java, or similar, with willingness to work mainly 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.
• Proven experience designing scalable, event-driven architectures using messaging systems such as 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 operations 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, fast-moving 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 the country you are based in.

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

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

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

Adaptiq, on behalf of Eureka Labs, is looking for a Block-Builder Engineer

About the Eureka Labs:

Eureka Labs runs a next-generation Ethereum block builder that operates live on mainnet across multiple regions, processing high volumes of DeFi transactions and competing in sub-millisecond latency auctions. It augments Ethereum’s capabilities, unlocks new DeFi primitives like intrablock lending, and enforces neutral, verifiable block construction via trusted execution. 

About the Role

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

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

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

Key Responsibilities

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

Required Competence and Skills

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

Nice to Have

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

Who we are:

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

About the Product:

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

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

About the Role:

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

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

Key Responsibilities:

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

Required Competence and Skills:

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

Nice to Have:

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

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 Eureka Labs, is looking for a Senior Block-Builder Engineer

About the Eureka Labs:

Eureka Labs runs a next-generation Ethereum block builder that operates live on mainnet across multiple regions, processing high volumes of DeFi transactions and competing in sub-millisecond latency auctions. It augments Ethereum’s capabilities, unlocks new DeFi primitives like intrablock lending, and enforces neutral, verifiable block construction via trusted execution. 

About the Role:

As a Senior Block-Builder Engineer at Eureka, you will own a production-grade, low-latency block-building platform and the systems that extend it: the seal-and-submit critical path, block-construction and bidding algorithms, parallel simulation, secure builder↔relay communication, and the off-chain logic that connects to a new on-chain lending protocol and a trust-minimized (TEE-based) execution model. You’ll turn open-ended problems – “how do we decide and bid faster than the competition,” “how do we let capital be borrowed and repaid safely inside one block,” “how do we prove we behaved honestly without exposing our edge” – into shipped, measurable systems.

Key Responsibilities:

• Optimize and drive down latency on the seal-and-submit path, identifying and removing bottlenecks in hot-path scans, allocations, state-root computation, and redundant clones.
• Transition block-construction and bidding logic from fixed heuristics to data-driven optimization models for transaction ordering and resource allocation.
• Build and maintain high-throughput parallel simulation (revm-based) to rank bundles per slot and integrate timing-correct PBS/MEV-Boost relay communication across regions.
• Design and implement an intrablock-lending protocol, coordinating off-chain builder logic with on-chain smart contracts and ensuring economic soundness.
• Integrate trusted execution environments (TEEs) or secure enclaves to enable verifiable, privacy-preserving execution of builder strategies.
• Contribute to the architecture of the execution-extension layer (BEX) and its integration with lending and simulation components.
• Establish safe deployment practices, deterministic simulation for rollback scenarios, and comprehensive observability for a financial-critical system.
• Maintain production reliability and participate in on-call rotation for immediate issue resolution in low-latency, high-stakes environments.

Required Competence and Skills:

• At least 7 years in backend software engineering focused on performance-critical systems handling real-time data and monetary transactions (e.g., trading, HFT, exchanges, low-latency networking).
• Typically 4+ years of blockchain experience, with the Ethereum ecosystem and deep understanding of the Ethereum protocol, node/client internals, and off-chain protocols.
• Production Rust experience, including async programming, concurrency, profiling, and allocation/contention tuning. Strong C++ or Go engineers with a credible and fast path to becoming productive in Rust will also be considered.
• Demonstrated low-latency experience: you can describe a real system you made meaningfully faster, how you identified the bottleneck, what you changed, and how you measured and proved the improvement.
• Strong analytical judgment: designing experiments, validating metrics against ground truth, and iterating based on data accuracy.
• End-to-end ownership of production systems and changes, including clear reasoning about architecture, blast radius, failure modes, safe rollouts, and rollback strategies.
• Ability to reason about correctness and economics simultaneously, ensuring protocol soundness without exploitable vectors.
• Fluent English communication skills and willingness to work within Eureka Labs’ hybrid office-first model in Poland.

Nice to Have:

• Working knowledge of PBS/MEV-Boost, block-builder relay timing games, and Ethereum consensus/execution internals (slots, epochs, fork choice, payload delivery).
• Experience contributing to core clients (reth, geth) or revm-based virtual machine projects.
• Exposure to trusted execution environments, secure enclaves, or applied cryptography.
• Smart-contract or on-chain protocol design experience.
• Background in optimization, operations research, or quantitative problem-solving.
• Prior contributions to MEV infrastructure, such as Flashbots or MEV-Boost.

Adaptiq, on behalf of AppsFlyer, is looking for a Backend Engineer(Data Oriented)

🌍 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.

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-Oriented Backend 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 end-to-end features - from streaming and batch data processing to database modeling and API development, design and implement data pipelines, choose and optimize analytical databases, and integrate new components in our hybrid microservices environment while collaborating closely with product managers and cross-functional engineering teams. 

📈 Key Responsibilities:

• Implement end-to-end backend and data infrastructure features, including streaming and batch pipelines, storage selection, and schema modeling.
• Collaborate with product managers and cross-functional teams to define, prioritize, and deliver complex analytics services.
• Design and optimize high-throughput, low-latency distributed systems to meet performance and scalability targets.
• Develop and maintain microservices-based APIs that serve real-time customer requests.
• Build and operate data ingestion and processing workflows using modern orchestration frameworks.
• Perform root cause analysis on production incidents, drive resolutions, and participate in on-call rotations.
• Enhance self-serve CI/CD pipelines and improve observability tooling to increase delivery velocity and system reliability.
• Share expertise through internal or external talks, blog posts, and contributions to open-source projects.

💻 Required Competence and Skills:

• Minimum 3 years of software development experience, with a focus on backend engineering with any of the programming languages(C#, C++, Go, Scala, Java)
• Experience building backend services, APIs and distributed systems.
• Experience working with large-scale production databases in high-load environments(e.g. ClickHouse, BigQuery, Redshift, Druid, MongoDB, Elasticsearch, DynamoDB)
• Experience designing or maintaining data pipelines or production data workflows.
• Ability to solve production issues involving performance, scalability or data quality.
• Understanding of different data processing architectures (batch, streaming, etc.) and their trade-offs.
• Experience working with public cloud platforms (e.g., AWS, GCP, Azure).
• Strong English communication skills.
• B.Sc. in Computer Science or equivalent.

➕ Nice to Have:

• Experience with workflow orchestration frameworks such as Airflow.
• Familiarity with large-scale production ETL pipelines.
• Prior work with production Go backend services; knowledge of Clojure is a plus.
• Exposure to BigQuery at production scale.
• An “AI mindset”: familiarity with developer productivity tools like GitHub Copilot or Cursor.

🚀 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:

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

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

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

📈 Key Responsibilities:

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

💻 Required Competence and Skills:

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

➕ Nice to Have:

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

🚀 Why Us:

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

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

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

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

Who we are:

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

About the Product:

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

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

About the Role:

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

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

Key Responsibilities:

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

Required Competence and Skills:

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

Nice to Have:

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

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 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.

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:

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.

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

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

About the Role:

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

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

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

Key Responsibilities:

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

Required Competence and Skills:

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

Nice to Have:

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

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.