Senior Backend Engineer

Senior Backend Engineer (Distributed Systems)

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications. As we continue to grow, we're looking for a skilled Senior Backend Engineer (Distributed Systems) to join our dynamic team and contribute to our mission of transforming business processes through technology.

This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

Location

100% Remote (Continental United States)

Position Type

In-house

Salary

$100K - $150K / Annum

Experience

6+ years

Sponsorship

No new H1B sponsorship available. H1B transfers welcomed for qualified candidates.

Employment Type

Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party)

Engagement

Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap

Compensation

Competitive base salary commensurate with experience, plus benefits.

Job Summary

We are seeking a Senior Backend Engineer with deep expertise in distributed systems to design, build, and operate large-scale, high-throughput backend services that power mission-critical workloads. In this role you will architect the core platforms that other engineering teams build on, focusing on scalability, reliability, performance, and clean engineering practices. The ideal candidate will combine strong fundamentals in computer science with practical, battle-tested experience operating distributed systems at scale, and will be comfortable navigating the trade-offs between consistency, availability, and latency.

Key Responsibilities

• Design and implement large-scale distributed backend systems using Java, Go, Scala, or similar high-performance languages.
• Architect data partitioning, replication, and consistency strategies appropriate to each workload's requirements.
• Build resilient APIs and event-driven services with strong observability, idempotency, and graceful degradation patterns.
• Optimize systems for latency, throughput, and cost, using profiling, benchmarking, and load testing.
• Lead detailed architecture reviews, technical design discussions, and trade-off analyses.
• Implement robust failure-handling patterns including retries, timeouts, circuit breakers, bulkheads, and saga workflows.
• Design and operate data stores at scale, including relational, key-value, document, and search engines.
• Build comprehensive observability into services with structured logs, metrics, and distributed tracing.
• Drive incident response and post-incident learning for critical backend services.
• Mentor mid-level engineers and lead by example in code quality, design, and operational rigor.
• Partner with SRE and platform teams to drive reliability improvements and reduce operational toil.
• Contribute to long-term architecture and platform strategy, helping shape multi-year technical roadmaps and ensuring near-term execution remains aligned with the broader engineering direction.
• 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.

Required Qualifications

• Bachelor's or Master's degree in Computer Science or a related discipline.
• Six or more years of professional backend engineering experience, with significant time on distributed systems.
• Strong programming skills in Java, Go, Scala, or similar.
• Deep understanding of distributed systems concepts, including consensus, replication, and CAP trade-offs.
• Hands-on experience with high-throughput message systems such as Kafka.
• Experience operating systems at scale, including capacity planning and performance tuning.
• Strong SQL skills and experience with both relational and NoSQL data stores.
• Hands-on experience with major cloud platforms (AWS, Azure, or GCP).
• Strong debugging and root-cause analysis skills.
• Excellent communication, documentation, and mentorship skills.

Preferred Qualifications

• Experience leading complex technical initiatives across multiple teams.
• Hands-on experience with Kubernetes-based platforms in production.
• Exposure to service-mesh technologies (Istio, Linkerd).
• Familiarity with chaos engineering practices and tools.
• Open-source contributions to relevant distributed systems projects.