Senior Software Engineer – Performance, Scalability, Systems Engineering

This is a fully remote position, open to applicants in California, +17 more states.

📋 Description

• Lead performance engineering initiatives, optimization efforts, and performance standards across the organization.

• Analyze system behavior, identify performance bottlenecks, assess results, and implement optimizations in application code, databases, and architecture.

• Collaborate directly with engineering teams to design, implement, and deploy performance enhancements.

• Create, develop, and sustain performance testing and data-generation frameworks utilizing k6, JavaScript, Grafana, and InfluxDB.

• Automate performance frameworks within CI/CD pipelines.

• Establish and refine standards for performance optimization, scalability, and measurement.

• Collaborate with engineering teams to develop scalability methods and performance strategies.

• Generate and maintain technical documentation, architectural decision records, and performance benchmarks.

• Create reusable frameworks, tools, and best practices for identifying and addressing performance issues.

• Write code, queries, and architectural modifications to resolve performance bottlenecks.

⛳️ Requirements

• Must be located in the USA and reside in one of the following states: California, Colorado, Connecticut, Florida, Georgia, Illinois, Kansas, Massachusetts, Maryland, Maine, New Jersey, North Carolina, New York, Ohio, Oregon, Tennessee, Texas, Virginia, or Washington.

• Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, or equivalent professional experience.

• Over 6 years of experience as a Software Engineer with direct contributions to production code.

• Strong grasp of system design and architecture, including load balancers, services, datastores, caches, and data flows.

• Solid background in application optimization, query optimization, performance debugging, and performance methodologies.

• Extensive experience with relational databases, encompassing execution plan analysis, indexing strategies, and partitioning.

• Proficient in debugging distributed systems and container-native environments.

• Familiarity with asynchronous design and scaling patterns, such as message brokers, event queuing, and event streaming.

• Experience with at least one major cloud platform: AWS, Azure, or GCP.

• Skilled in scripting for automation and observability using Bash, Python, or similar languages.

• Experience in building automation and pipelines.

• Exceptional troubleshooting and communication abilities across both technical and non-technical teams.

• This position does not qualify for visa sponsorship.

🏝️ Benefits

• Full-time position with a hybrid remote work model.

• Comprehensive medical, dental, and vision insurance.

• 401(k) retirement plan.

• Unlimited paid time off (PTO).

• Life insurance coverage.

• Opportunities for professional growth and advancement.