Golang Software Engineer

Generative AI Specialist - Remote 
 
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. 
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. 
 
Job Title: Generative AI Specialist
Location: 100% Remote (U.S.) 
Position Type: Full-time, Direct W2 
Salary Range: $100,000–$150,000 Annually 
Experience Required: 6 years 
 
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. 
 
Job Summary 
We are seeking an experienced Golang Developer 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.

Required 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 Jenny@bvteck.com or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer. 
 

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

Salary : $100,000 - $150,000