Senior Backend Engineer (Distributed Systems) [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Backend Engineer (Distributed Systems) based in the United States.

This role sits at the core of building and evolving large-scale backend platforms that power mission-critical, high-throughput systems. You will design and operate distributed architectures that prioritize scalability, resilience, and performance across complex production environments. Working in a deeply technical engineering team, you’ll help shape foundational services used by multiple teams and workflows. The position involves solving hard distributed systems problems such as consistency, replication, and fault tolerance at scale. You will contribute to backend services built with modern high-performance languages and cloud-native infrastructure. This is an opportunity to influence system architecture decisions that directly impact reliability, latency, and cost efficiency across enterprise-grade platforms.

Accountabilities:

• Design and implement large-scale distributed backend systems ensuring scalability, resilience, and high performance
• Architect data models and strategies including partitioning, replication, and consistency trade-offs across different workloads
• Build and maintain resilient APIs and event-driven services with strong observability and fault-tolerant design patterns
• Optimize system performance through profiling, benchmarking, load testing, and continuous tuning for latency and throughput
• Lead technical design discussions, architecture reviews, and cross-team engineering decision-making
• Implement robust failure-handling mechanisms such as retries, circuit breakers, timeouts, and saga workflows
• Design and operate scalable data storage solutions across relational and NoSQL systems
• Build comprehensive observability frameworks using logging, metrics, and distributed tracing
• Drive incident response, root-cause analysis, and post-incident improvements for critical systems
• Mentor engineers and contribute to engineering standards, documentation, and platform strategy

Requirements:

• 6+ years of backend engineering experience with strong focus on distributed systems
• Bachelor’s or Master’s degree in Computer Science or a related field
• Strong programming expertise in Java, Go, Scala, or similar high-performance languages
• Deep understanding of distributed systems concepts including CAP theorem, consensus, and replication
• Hands-on experience with high-throughput messaging systems such as Kafka
• Proven experience operating systems at scale, including performance tuning and capacity planning
• Strong knowledge of SQL and experience with both relational and NoSQL databases
• Experience working with cloud platforms such as AWS, Azure, or GCP
• Strong debugging, troubleshooting, and root-cause analysis capabilities
• Excellent communication skills with experience in documentation and technical mentorship
• Preferred: experience with Kubernetes, service mesh technologies (Istio/Linkerd), and chaos engineering practices

Benefits:

• Competitive salary range: $100,000 – $150,000 based on experience
• 100% remote work within the United States
• Full-time W2 employment with long-term, stable engagement
• Health, dental, and vision insurance coverage
• 401(k) retirement plan options
• Flexible work environment with strong engineering ownership
• Opportunity to work on large-scale distributed systems with real production impact
• Career growth potential within a high-growth engineering organization
• Exposure to modern cloud-native and distributed architecture practices.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.