ApomSolutions

We are looking for a hands-on DevOps / SRE engineer to join our engineering team and help improve reliability, scalability and observability of a production cloud infrastructure.

This role is very практичний: багато troubleshooting, production issues, performance tuning і автоматизації. Ви будете працювати разом з розробниками і DevOps-командою над стабільністю сервісів та CI/CD процесів.

What you will do

• Maintain and improve Kubernetes production clusters (cloud environment)
• Troubleshoot incidents and perform root cause analysis
• Improve monitoring, alerting and observability
• Optimize CI/CD pipelines
• Automate operational tasks
• Work closely with developers on production deployments
• Improve system reliability and performance

Must have

• 3+ years experience as DevOps / SRE / Infrastructure engineer
• Strong Linux skills
• Hands-on Kubernetes administration (not only deployments)
• Cloud experience (AWS / Azure / GCP)
• Experience with CI/CD (Jenkins / GitLab CI / GitHub Actions)
• Scripting: Bash / Python / Go
• Monitoring: Prometheus + Grafana
• Experience troubleshooting production issues
• Understanding of containers and Docker
• Good communication skills and ability to work in a team

Nice to have (big plus)

• Experience with OpenTelemetry (tracing/metrics)
• Java applications in production
• Maven / Gradle
• JVM basics (memory, GC)
• Elasticsearch cluster maintenance
• MongoDB in production

Client is a leading CPQ (Configure Price Quote) and revenue execution platform that automates complex quoting, contract management, and subscription billing for enterprise sales teams. The company helps businesses accelerate their sales cycles and improve deal accuracy through AI-powered automation and seamless CRM integrations.

Responsibilities:

• Hands-on angular development.
• Integrate testing best practices in our product
• Identify and address performance issues
• Interact with our back-end systems
• Develop and grow the frontend team, and mentor junior developers.
• Work closely with the founding team and product managers
• Innovate, Learn, and Teach
   

Requirements

• At least 7 years of experience in front-end development
• Deep knowledge Experience in Angular
• Deep knowledge and understanding of front-end architecture and experience in building large-scale web applications
• Experience with Angular CLI, Angular testing (Jasmine, Karma), and Webpack (advantage)
• Deep understanding of the web environment and how it works.
• Experience in working with complex projects and hands-on experience in building scalable, highly available, and responsive web applications.
• Have a passion for UI/UX
• Comfortable working in a fast-paced environment.
• Excellent communication skills and ability to drive requirements
• BSc. in Computer Science or equivalent experience.
   

Upper rate range: B2B T&M cooperation

We are looking for an experienced Embedded Engineer to join a long-term project focused on the development of a high-end Software Defined Radio (SDR) product that has already entered commercial production and is being sold in hundreds of units.

The product is a complex embedded system combining RF, FPGA, NXP processors, and high-performance networking components. You will work on core system software responsible for real-time data processing, control planes, and high-speed data paths.

This is a long-term project with no location restrictions — candidates from Ukraine and other regions are welcome.

Responsibilities

• Design and develop embedded software for an SDR platform based on NXP processors
• Implement user-space and kernel-space software components
• Build and maintain high-speed data paths inside the SDR and between external devices (PC, cloud)
• Develop and operate control planes (internal SDR logic and external integrations)
• Work on real-time software with strict performance and latency requirements
• Implement data processing pipelines using UDP/TCP/DPDK
• Ensure secure data handling (VPNs, encryption, ciphering activation)
• Collaborate within a system that includes FPGA-based processing (FPGA coding not required)
• Debug complex real-time and high-performance systems
• Participate in system-level design and optimization

Requirements

• Strong experience with embedded Linux and NXP processors
• Solid understanding of real-time software development and highly efficient C/C++ code
• Deep knowledge of networking protocols and data transport
• Hands-on experience with DPDK, UDP/TCP, and high-throughput networking
• Experience working with complex embedded systems and real-time processing
• Strong debugging skills in real-time and low-level environments
• Proficiency in C / C++, with working knowledge of Python
• Understanding of software lifecycle management, including:
  • Secure software images
  • Field-deployed software upgrades
  • Monitoring and maintenance
• Good level of English for technical communication

Nice to Have

• Knowledge of RF systems and RF signals
• Understanding of time synchronization technologies (GNSS, IEEE 1588, clock synchronization)
• Experience with security-related networking features

Our client is a leading mobile marketing and audience platform empowering the global app ecosystem with advanced solutions in mobile marketing, audience building, and monetization.

With direct integrations into 500,000+ mobile apps worldwide, they process massive volumes of first-party data to deliver intelligent, real-time, and scalable advertising decisions. Their platform operates at extreme scale, serving billions of requests per day under strict latency and performance constraints.

About the Role

We are looking for a highly skilled, independent, and driven Machine Learning Engineer to own and lead the design and development of our next-generation real-time inference services.

This is a rare opportunity to take ownership of mission-critical systems on a massive scale, working at the intersection of machine learning, large-scale backend engineering, and business logic.

You will build robust, low-latency services that seamlessly combine predictive models with dynamic decision logic — while meeting extreme requirements for performance, reliability, and scalability.

Responsibilities

• Own and lead the design and development of low-latency inference services handling billions of requests per day
• Build and scale real-time decision-making engines, integrating ML models with business logic under strict SLAs
• Collaborate closely with Data Science teams to deploy models reliably into production
• Design and operate systems for model versioning, shadowing, and A/B testing in runtime
• Ensure high availability, scalability, and observability of production services
• Continuously optimize latency, throughput, and cost efficiency
• Work independently while collaborating with stakeholders across Algo, Infra, Product, Engineering, Business Analytics, and Business teams

Requirements

• B.Sc. or M.Sc. in Computer Science, Software Engineering, or a related technical field
• 5+ years of experience building high-performance backend or ML inference systems
• Strong expertise in Python
• Hands-on experience with low-latency APIs and real-time serving frameworks
  (FastAPI, Triton Inference Server, TorchServe, BentoML)
• Experience designing scalable service architectures
• Strong knowledge of async processing, message queues, and streaming systems
  (Kafka, Pub/Sub, SQS, RabbitMQ, Kinesis)
• Solid understanding of model deployment, online/offline feature parity, and real-time monitoring
• Experience with cloud platforms (AWS, GCP, or OCI)
• Strong hands-on experience with Kubernetes
• Experience with in-memory / NoSQL databases
  (Aerospike, Redis, Bigtable)
• Familiarity with observability stacks: Prometheus, Grafana, OpenTelemetry
• Strong sense of ownership and ability to drive solutions end-to-end
• Passion for performance, clean architecture, and impactful systems

About the Company

We are building a groundbreaking loyalty platform for mobile gamers, redefining how players discover games, connect with friends, and earn rewards.
Founded by serial entrepreneurs with strong backgrounds in AI and adtech, we value initiative, creativity, and ownership above all.

You will join the core engineering team and have a direct, measurable impact on both the product and the business.

Requirements

• 6+ years of commercial experience in native Android development (Kotlin)
• Proven Team Lead / Tech Lead experience, managing Android teams of 10+ engineers
• Strong knowledge of Android best practices, Kotlin, coroutines, Jetpack Compose
• Solid understanding of Clean Code, SOLID principles, MVC/MVVM, and testing
• Deep knowledge of Android architecture, performance optimization, and platform limitations
• Hands-on experience with Gradle build systems and CI/CD pipelines
• Experience mentoring engineers, conducting code reviews, and building high-performance teams
• Advanced English level
• Proactive mindset with the ability to propose and drive technical solutions aligned with business goals

Responsibilities

• Design, build, test, and maintain production-grade native Android applications
• Create and maintain Gradle builds and CI/CD pipelines
• Lead and mentor the Android team, fostering a high-performance engineering culture
• Contribute effectively within a Scrum team
• Propose and implement technical solutions to support business needs
• Design app observability to improve UX, stability, and overall product quality

Senior Full-Stack Engineer (70% Frontend / 30% Backend)
 

TypeScript • React • Node.js (optionally Go)
 

Full-time | Remote
 

About the Company:
 

Cloud production is breaking.
AI has radically accelerated how software is written and released, but cloud operations are still managed with human reasoning, dashboards, and manual intervention. As AI-generated code drives unprecedented change velocity, this gap has become a primary source of outages, degradation, and wasted cloud spend.

We are building the foundation for agentic cloud operations.

Our platform introduces Production DNA — a real-time reasoning layer that continuously models how code, workloads, infrastructure, and runtime behavior interact. AI agents operate on top of this system to predict outcomes, block unsafe changes, recover from degradation, and optimize production in real time.

We start with the most critical operational moments — autonomous gradual deployments, degradation recovery, and risk/success prediction for scaling and traffic changes — and expand toward fully self-improving cloud operations.

This is not another observability or automation tool.
It’s a new operating model for cloud businesses.
 

About the Role:

We are looking for a Senior Full-Stack Engineer who will play a key role in building a complex, real-time cloud operations platform.

This role is frontend-heavy (≈70%), focused on building data-dense, system-level UIs, with backend responsibilities (≈30%) around APIs, services, and event-driven workflows.

We care far more about engineering judgment and problem-solving than specific frameworks. You are expected to make technical decisions, navigate ambiguity, and build high-quality systems end-to-end.
 

What You’ll Work On

Examples of real problems you’ll tackle:

• Building real-time dashboards that visualize live production state across dozens of services
• Designing UI for autonomous deployments, incidents, and AI-driven operational decisions
• Turning raw operational data (deploys, costs, risks, signals) into actionable interfaces
• Visualizing system topology, dependencies, and failure modes
• Collaborating on backend services that model system state over time, not just CRUD APIs
   

Responsibilities

Frontend (Primary Focus)

• Build complex, data-heavy UIs using React + TypeScript
• Design state management for async, real-time systems
• Implement live updates via polling, streams, WebSockets, or similar
• Translate complex infrastructure and operational concepts into clear UX
• Own frontend architecture and make trade-offs between performance, clarity, and scalability

Backend (Secondary Focus)

• Design and implement backend services using Node.js (optionally Go)
• Work with event-driven, asynchronous workflows
• Model system state, transitions, and long-running processes
• Collaborate on APIs that serve real-time and historical operational data
   

Must-Have Requirements
 

• Senior-level experience as a Full-Stack or Frontend-heavy Engineer
• Strong expertise in TypeScript and React
• Experience building complex, data-dense dashboards or internal tools
• Solid understanding of state management, async data flows, and derived state
• Experience with real-time or near-real-time systems
• Ability to work independently in highly ambiguous problem spaces
• High level of spoken and written English
• Strong communication skills and the ability to explain complex technical concepts clearly
   

Nice-to-Have (Strong Plus)

• Experience with Node.js backend services (or Go)
• Background in cloud platforms, DevOps, SRE, or infrastructure tooling
• Experience with event-driven systems, queues, streams, or pub/sub
• Familiarity with graph-based or topology visualizations
• Experience using visualization libraries (e.g. D3, custom SVG/canvas solutions)
• Understanding of observability, deployments, incidents, or cloud cost optimization
   

This Role Is NOT for You If

• You have only worked on simple CRUD or consumer-facing apps
• You rely heavily on detailed specs and pixel-perfect handoffs
• You avoid systems-level or infrastructure-related problems
• You prefer narrowly scoped tasks over owning end-to-end solutions
   

This Role IS for You If

• You enjoy visualizing and reasoning about complex systems
• You like turning messy operational data into clear, usable interfaces
• You are comfortable making architectural decisions with incomplete information
• You want to work on problems at the intersection of cloud, AI, and systems engineering
   

Why Join

• Build a new category of cloud operations platform
• Work on problems that directly impact reliability, cost, and scale
• High ownership, high trust, minimal process overhead
• Opportunity to shape both product and architecture from an early stage

Про роль

Ми шукаємо Facebook Team Lead / Media Buyer, який не лише працює з трафіком, а й вибудовує сильну команду та процеси. Це роль для людини, яка мислить як власник напрямку, бере відповідальність за результат і вміє масштабувати як зв’язки, так і людей.

Обов’язки

• Управління Facebook-командою: постановка цілей, контроль результатів, розвиток медіабаїнерів
• Побудова, запуск і масштабування зв’язок під CPA-модель
• Тестування гіпотез і швидке прийняття рішень на основі даних
• Глибока робота з аналітикою: CTR, CPM, CPA, CPL, CR
• Контроль якості трафіку та ефективності витрат
• Оперативна адаптація до змін ринку та алгоритмів Facebook
• Особистий і командний перформанс

Вимоги

• 3+ роки досвіду в медіабаїнгу, з них мінімум 1 рік у ролі Team Lead
• Практичний досвід роботи з великими бюджетами
• GEO: Tier 1–3
• Глибоке розуміння Facebook Ads, алгоритмів і рекламних політик
• Досвід роботи з Crypto / Forex
• Сильні лідерські навички та вміння вибудовувати процеси
• Мислення в категоріях: «вчора не працювало — сьогодні вже масштабую»

Компенсація

• base+ до 45% з особистих зв’язок+ 10% з обороту команди
• Відсутність лімітів на бюджети та капи
• Прозора система бонусів і фінансового росту

Ми пропонуємо

• MacBook та вся необхідна техніка
• Медичне страхування
• Корпоративне таксі та паркування
• Формат роботи: офіс / гібрид / віддалено
• Тімбілдинги, подарунки, адекватна команда без токсичності
• 17 днів оплачуваної відпустки
• Офіційне працевлаштування (за потреби)