• lead the design, development, and optimization of mission-critical applications • collaborate closely with product owners, architects, and cross-functional teams • migrate and re-platform existing systems • develop enterprise-grade applications and maintain high-performance web front-ends • implement cloud-native application architectures and scalable microservices

Role Description We are seeking an experienced Golang Software Engineer to design and build high-performance backend services, infrastructure tooling, and cloud-native applications using Go. In this role you will work on systems where latency, concurrency, and operational efficiency are first-class concerns, and you will contribute to a codebase shared by engineers across multiple teams. The ideal candidate will combine strong Go expertise with broad systems knowledge, including network programming, container ecosystems, and distributed system design. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production. Key Responsibilities - Design and implement performant backend services and APIs in Go, with strong attention to concurrency, error handling, and resource management. - Build cloud-native applications using Go and Kubernetes-native libraries, applying idiomatic Go patterns, well-defined module boundaries, and operational hooks that make the resulting services easy to deploy and run. - Develop CLI tools, Kubernetes controllers, and custom operators for internal platforms, designing clear command surfaces, robust error handling, and reconciliation logic that operates safely in long-running environments. - Implement gRPC and REST APIs with appropriate observability and security. - Profile and optimize Go applications for memory, GC, and goroutine behavior, applying systematic measurement, targeted improvements, and data-driven validation to deliver quantifiable gains in throughput, latency, or resource efficiency. - Integrate with messaging systems (Kafka, NATS) and data stores (PostgreSQL, Redis, etcd). - Build comprehensive automated tests, including unit, integration, and benchmark tests. - Implement structured logging, metrics emission, and distributed tracing throughout services so that operators and on-call engineers have the signals they need to diagnose issues and reason about system behavior. - Lead code reviews and uphold engineering standards in Go projects. - Mentor and coach junior and mid-level engineers through code review, design review, pair programming, and structured knowledge sharing, helping the broader team grow in technical maturity and confidence over time. - Contribute meaningfully to internal Go libraries, shared platform tooling, and reusable patterns that accelerate development across multiple engineering teams and codify hard-won best practices. - Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures — so that the system remains supportable, auditable, and easy to onboard new engineers onto over time. - Continuously evaluate Go ecosystem evolution and contribute to internal patterns. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of professional software engineering experience, with significant time in Go. - Strong understanding of Go concurrency patterns (goroutines, channels, contexts). - Hands-on experience building production gRPC and/or REST APIs in Go. - Experience with Kubernetes-native development (client-go, controller-runtime). - Solid experience with relational and key-value data stores. - Strong understanding of distributed systems and networking fundamentals. - Experience with CI/CD pipelines and container-based deployment. - Excellent debugging and performance-engineering skills. - Strong communication and documentation skills. Preferred Qualifications - Open-source contributions to Go-based projects. - Experience writing Kubernetes operators or controllers. - Familiarity with eBPF, service mesh, or low-level systems programming. - Exposure to security-sensitive Go projects (cryptography, auth). - Experience with WASM, Tinygo, or embedded systems. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com .

• Months 1–6: you're the primary technical presence on a greenfield initiative — making foundational architecture decisions, shaping the infrastructure setup, defining the release process and testing strategy, and working directly with business stakeholders to keep technical direction grounded in real product needs. You write production code yourself. • Month 6 onward: you build and lead the team around what you've built — Kotlin developers, system analysts, and QA engineers — continuing to own architecture as the product moves from foundation to production at scale. • Stay the translation layer between business and engineering throughout both phases: you set direction before the team existed, and you remain that link as it grows. • Make the foundational architecture decisions for a new banking domain — made once, by you, without working around anyone else's prior choices. • Assess and evolve the current infrastructure setup and CI/CD approach for a product starting from scratch. • Define the release process and testing strategy from the ground up. • Write production code in Java and Kotlin during the solo phase. • Build and lead a mixed-discipline team of Kotlin developers, system analysts, and QA engineers from month 6 onward. • Lead code reviews and design reviews, mentoring the team on distributed systems thinking and production ownership. • Own delivery across the team's technical initiatives — stay hands-on rather than shifting into pure coordination.

• Work closely with engineers, product managers, and other stakeholders to design and build the latest and greatest in Chaos Engineering tooling • Leverage strong collaboration and communication skills to deliver new features within a remote culture • Partner with product and other business units to understand business problems and present technical solutions and tradeoffs • Actively mentor and grow your teammates • Care deeply about the customer experience