1126 | Go Application Architect

Intetics Inc., a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Go Application Architect to join our dynamic team on a full-time basis.


What You will do:
- Translate ambiguous business requirements into a clear, well-structured technical architecture;

- Design distributed and microservice-based systems that are scalable, fault-tolerant, and maintainable;

- Make and justify architectural trade-offs (performance vs. complexity, consistency vs. availability, build vs. buy);

- Design robust API contracts (REST/gRPC) with versioning and backward compatibility in mind;

- Architect data storage strategies across relational and non-relational databases, including schema design and query optimization;

- Design event-driven and asynchronous flows using message brokers (Kafka, RabbitMQ, NATS);

- Anticipate scalability and reliability risks before they become production incidents, and design systems that account for load, failure modes, and observability from the start;

- Produce clear architecture documentation (ADRs, technical specs, diagrams) that both engineers and business stakeholders can follow;

- Guide and mentor development teams on best practices, code quality, and Go idioms without formally managing them;

- Communicate technical decisions and trade-offs effectively to Product Owners, Solution Architects, and other non-technical stakeholders;

- Evaluate new technologies, tools, and frameworks and assess their fit for the team's technical roadmap;

- Balance hands-on coding with architectural oversight — staying technically credible while enabling other engineers to execute.

Requirements

- 7+ years of overall software development experience;

- 4-5+ years of hands-on, production-level experience with Go, including deep understanding of goroutines, channels, context, memory model, and concurrency patterns;

- Higher education in Computer Science (software development, etc.);

- Extensive experience working with AI and the process of implementing/configuring it within a team;

- Experience in fintech, banking, or other regulated/high-compliance domains;

- Proven experience designing distributed, microservice-based, and/or high-load systems;

- Strong expertise in API design (REST and/or gRPC), including versioning and backward compatibility;

- Solid understanding of relational databases (PostgreSQL/MySQL) — schema design, query optimization, transactions;

- Experience with message brokers (Kafka, RabbitMQ, NATS) and event-driven architecture;

- Strong knowledge of containerization and orchestration (Docker, Kubernetes);

- Experience with CI/CD pipelines and modern DevOps practices;

- Golang (design of scalable, distributed backend systems);

- Concurrency patterns in Go (goroutines, channels, sync primitives);

- System design for high performance and maintainability;

- CI/CD tools and pipelines (e.g. GitLab CI, GitHub Actions, Jenkins, etc.);

- Understanding of system design principles: scalability, fault tolerance, security, observability (metrics, logging, tracing);

- Strong communication skills — ability to explain architectural decisions to both technical teams and business stakeholders;

- Experience conducting architecture reviews and writing design documentation (ADRs, technical specs);

- Readiness to work from 9 till 18 CEST;

- Readiness to practical task (live coding in Go) during the interview with the client.

Would be a plus:

- Experience with NoSQL databases (MongoDB, Cassandra, ClickHouse) or caching layers (Redis);

- Exposure to cloud platforms (AWS, GCP, Azure) and cloud-native architecture patterns;

- Experience with Domain-Driven Design (DDD) or Event-Driven Architecture;

- Prior experience in a formal Architect, Staff Engineer, or Principal Engineer role;

- Familiarity with additional languages (Java, Python, C++) for cross-team collaboration;

- Experience integrating AI/LLM components into production systems;

- Contributions to open-source Go projects or internal frameworks/libraries;

- Experience with SRE practices (SLI/SLO, error budgets, incident response);

- Relevant certifications (AWS/GCP/Azure architecture certifications).