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).