What are the responsibilities and job description for the Senior Software Engineer position at Partner Engineering Test Company?
Job Description
We are seeking a Principal Distributed Systems Optimization Engineer to design, analyze, and optimize large-scale, high-throughput distributed systems. This role focuses on improving system performance, reliability, and cost efficiency across complex service-oriented architectures operating at significant scale.
You will work closely with backend engineers, data infrastructure teams, and platform reliability groups to identify bottlenecks, redesign critical paths, and implement robust, fault-tolerant solutions. The ideal candidate has deep expertise in distributed systems theory and hands-on experience tuning production systems under heavy load.
Key Responsibilities
We are seeking a Principal Distributed Systems Optimization Engineer to design, analyze, and optimize large-scale, high-throughput distributed systems. This role focuses on improving system performance, reliability, and cost efficiency across complex service-oriented architectures operating at significant scale.
You will work closely with backend engineers, data infrastructure teams, and platform reliability groups to identify bottlenecks, redesign critical paths, and implement robust, fault-tolerant solutions. The ideal candidate has deep expertise in distributed systems theory and hands-on experience tuning production systems under heavy load.
Key Responsibilities
- Analyze system performance using metrics, tracing, and profiling tools to identify latency and throughput bottlenecks
- Design and implement optimizations across microservices, data pipelines, and storage layers
- Improve system reliability through fault isolation, graceful degradation, and resilience patterns
- Lead architectural reviews and propose scalable design improvements
- Collaborate with cross-functional teams to drive performance best practices
- Build tooling and frameworks for performance benchmarking and capacity planning
- Mentor engineers on distributed systems concepts and performance engineering
- 8 years of experience in backend or distributed systems engineering
- Strong understanding of distributed systems concepts (consensus, partitioning, replication, consistency models)
- Proficiency in one or more programming languages such as Java, Scala, Go, or Python
- Experience with large-scale data systems (e.g., streaming platforms, distributed databases)
- Deep knowledge of performance tuning, profiling, and observability tools
- Experience with systems like Kafka, Spark, Flink, or similar technologies
- Familiarity with cloud platforms and container orchestration (e.g., Kubernetes)
- Background in high-QPS, low-latency systems
- Experience designing systems with strict SLAs and SLOs
- Optimizing services handling millions of requests per second
- Reducing tail latency and improving system predictability
- Enhancing observability and debugging capabilities in complex environments
- Driving initiatives to reduce infrastructure cost while maintaining performance
Salary : $100,000 - $150,000