Senior Go Developer

REMOTE

EUROPE

November 12, 2025

Svitla Systems Inc. is looking for a Senior Go Developer for a full-time position (40 hours per week) in Europe. Our client is a leading provider of data, application, and storage solutions that help organizations manage applications and data everywhere across hybrid multi-cloud environments.

You'll design, build, and operate high-performance Go-based microservices, deployed on Kubernetes, and integrate AI/ML models into production systems in collaboration with Data Science/ML teams.

The engagement duration is3 months, with a possible 3-month extension.

REQUIREMENTS:

• 5+ years of experience in software development, including 3+ years of experience with Golang.
• Knowledge of goroutines and channels (concurrency patterns).
• Expertise in context usage and cancellation.
• Understanding of error handling patterns.
• Understanding of modules and dependency management.
• Experience building high-performance backend services and APIs (REST, gRPC).
• Experience with microservices & distributed systems, including:
• Hands-on experience designing and implementing microservice architectures;
• Understanding of service discovery, API gateways, load balancing, and fault tolerance patterns (circuit breakers, retries, backoff, rate limiting);
• Solid grasp of distributed systems concepts: eventual consistency, idempotency, transactions across services, etc.
• Experience with Kubernetes & Cloud, including:
• Practical understanding of deploying, running, and debugging applications on Kubernetes (e.g., GKE, EKS, AKS, or self-managed clusters).
• Familiarity with:
• Understanding of implementing Kubernetes manifests (deployments, Services, ConfigMaps, Ingress, etc.);
• Containerization with Docker or equivalent;
• CI/CD pipelines for building and deploying Go services;
• Experience with at least one major cloud provider (AWS, GCP, Azure, etc.);
• AI/ML Concepts (for integration);
• Understanding of basic ML concepts: training vs. inference, features, model versions, and evaluation metrics;
• Experience integrating machine learning models into applications or microservices (using frameworks, REST endpoints, or libraries).
• Familiarity with patterns like:
• Online/real-time inference (it's not necessary to build models from scratch, but you should be able to collaborate effectively with ML teams and design production-ready integration.);
• Batch inference;
• Feature engineering pipelines.
• Strong Knowledge with relational databases (e.g., PostgreSQL, MySQL) and SQL.
• Familiarity with NoSQL/datastores (e.g., Redis, MongoDB, DynamoDB, etc.).
• Understanding of caching, message queues/streaming (e.g., Kafka, RabbitMQ, NATS, etc.).
• Experience with testing with Go (testing package, mocks, integration tests).
• Familiarity with observability tools: metrics, logging, tracing (e.g., Prometheus, Grafana, Jaeger, OpenTelemetry).
• Expertise in using Git and standard development workflows (code review, branching strategies).
• The ability to explain complex technical topics to both technical and non-technical stakeholders.
• Ownership mindset to care about the service's entire lifecycle— from design and implementation to deployment and monitoring.
• Mentorship and leadership capabilities, such as being willing to support, guide, and challenge peers constructively.
• Be comfortable working in an agile environment (Scrum/Kanban), with iterative delivery and continuous improvement.
• Problem-solving and critical thinking: you enjoy digging into complex issues and finding pragmatic solutions.

RESPONSIBILITIES:

• Architect, design, and implement microservices in Go following best practices (clean code, SOLID principles, hexagonal/clean architecture when appropriate).
• Build robust, scalable, and secure APIs (REST/gRPC) for internal and external consumers.
• Collaborate with Data Scientists/ML Engineers to integrate AI/ML models into production services (model serving, feature pipelines, inference endpoints).
• Write high-quality, testable, and maintainable code, including unit, integration, and contract tests.
• Decompose monoliths or larger systems into well-bounded microservices with clear ownership and interfaces.
• Design and implement inter-service communication (gRPC, REST, messaging/streaming) with an eye on latency, reliability, and observability.
• Contribute to the overall system architecture, including data flows, API design, and integration with external systems.
• Containerize applications (Docker or similar) and define Kubernetes manifests/Helm charts for deploying services.
• Collaborate with the DevOps/SRE team to ensure services are resilient, observable, and autoscalable in Kubernetes.
• Implement and maintain monitoring, alerting, and logging (e.g., Prometheus, Grafana, OpenTelemetry, ELK, etc.).
• Participate in performance tuning, load testing, and capacity planning for production workloads.
• Work with ML teams to operationalize models:
• Model inference services;
• Feature preprocessing in real-time;
• Batch/offline inference pipelines.
• Ensure the latency, scalability, and reliability of AI/ML-driven microservices.
• Help define and implement A/B testing, canary deployments, and monitoring for model performance and drift (in collaboration with ML team).
• Act as a technical mentor to mid-level and junior developers (code reviews, pair programming, design reviews).
• Contribute to and help enforce engineering standards, coding guidelines, and best practices.
• Participate in architecture and technical roadmap discussions, providing input based on hands-on experience.
• Collaborate closely with Product Managers to refine requirements into technical solutions and to develop clear delivery plans.
• Champion test-driven development (TDD) and/or robust testing strategies.
• Ensure solutions adhere to security best practices (authentication, authorization, data protection, secrets management).
• Contribute to incident responses and post-mortems and drive improvements to prevent recurrence.

WE OFFER

• US and EU projects based on advanced technologies.
• Competitive compensation based on skills and experience.
• Regular performance appraisals to support your growth.
• Flexibility in workspace, either remote or our welcoming office.
• Bonuses for article writing, public talks, and other activities.
• Generous time off, including vacation, national holidays, sick leaves, and family days.
• Personalized learning programs tailored to your interests and skill development.
• Free tech webinars and meetups organized by Svitla.
• Regular corporate online activities.
• Awesome team and a friendly, supportive community

ABOUT SVITLA

Svitla Systems is a global digital solutions company headquartered in the U.S. and operating across the Americas, Europe, Asia, and APAC. Since 2003, we have served a wide range of clients — from innovative start-ups to Fortune 500 companies.

Our success is built on partnership. By integrating seamlessly with clients' teams, we create lasting collaborations that drive real results.

We are strong advocates of workplace flexibility, remote culture, individual approach to professional and personal growth.

Svitla is proud to be an equal opportunity employer. All qualified applicants will receive consideration for cooperation without regard to age, gender identity, sexual orientation, religion, race, color, national origin, disability, or any other characteristic protected by applicable law.

Our global mission is to build a business that contributes to wellbeing of our partners, personnel, and their families, improves our communities, and makes a lasting difference in the world.

Together, we are coding a brighter tomorrow — and living it.

Join us

LET'S MEET IN PERSON

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Olena Kurtieieva