Staff Software Engineer, Observability

Temporal Technologies is an open source programming model company on a mission to simplify code and improve developer experience. They are seeking a Staff Software Engineer focused on Observability to lead the software development lifecycle, design and build distributed systems, and mentor team members while ensuring high technical excellence.

Responsibilities:

• Lead the end-to-end Software Development Lifecycle: goals & requirements solicitation, design & review, implementation, operationalization & deployment, support & maintenance
• Lead feature design, review with stakeholders, iterate to incorporate feedback and drive consensus
• Clearly document design choices and operational knowledge to successfully deploy and manage the software you develop
• Provide appropriate test and production readiness coverage for unit, integration, and performance of your feature ownership area
• Set a high bar for technical excellence and take pride in the software you develop
• Design and build multi-component, distributed systems that operate at scale
• Investigate issues with a methodical approach to identify a root cause
• Understand performance and reliability implications of design options at scale. Make related tradeoffs
• Participate in the team’s on-call rotation
• Investigate and understand ways to best leverage Temporal’s own software to power our mission
• Deeply understand the needs of Temporal internal developers and external customers, and leverage that knowledge for product development and feature design
• Lead and mentor fellow team members
• Participate in design reviews and contribute to design of other features
• Share design principles for building reliable systems at scale

Requirements:

• Lead the end-to-end Software Development Lifecycle: goals & requirements solicitation, design & review, implementation, operationalization & deployment, support & maintenance
• Lead feature design, review with stakeholders, iterate to incorporate feedback and drive consensus
• Clearly document design choices and operational knowledge to successfully deploy and manage the software you develop
• Provide appropriate test and production readiness coverage for unit, integration, and performance of your feature ownership area
• Set a high bar for technical excellence and take pride in the software you develop
• Design and build multi-component, distributed systems that operate at scale
• Investigate issues with a methodical approach to identify a root cause
• Understand performance and reliability implications of design options at scale. Make related tradeoffs
• Participate in the team's on-call rotation
• Expert-level knowledge of architecture and services of assigned domain. Strong command over all aspects of the Temporal ecosystem
• Investigate and understand ways to best leverage Temporal's own software to power our mission
• Deeply understand the needs of Temporal internal developers and external customers, and leverage that knowledge for product development and feature design
• Lead and mentor fellow team members
• Participate in design reviews and contribute to design of other features
• Share design principles for building reliable systems at scale
• User-first mindset. You're excited by the opportunity to empower others through tooling, and enjoy deeply internalizing user goals and use cases to build effective solutions
• Motivated by impact. You are driven by a desire to make positive things happen
• Strong opinions about tools and technology that are equally balanced by a pragmatic drive for impact
• Ability to work in a self-directed manner in a fast-paced environment
• Excellent collaboration and communication skills
• Demonstrated ability to develop horizontally scalable, resilient, and high performance distributed systems in a production environment
• Experience designing, implementing, deploying, and supporting large scale, geographically distributed observability and/or high throughput data streaming/processing pipelines, or similar
• Expert in one or more high-level programming languages, preferably Go
• Expert-level Kubernetes skills
• Expert-level query development skills, preferably SQL
• Hands-on experience with one or more cloud providers, preferably AWS, or GCP
• Thorough understanding of computer architecture, operating systems, and networking
• Familiarity with best practices regarding monitoring, instrumenting, and configuring infrastructure