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).

See also

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