Senior Software Engineer
On-siteBeaverton, Oregon, United States
Job Summary
Design full-stack applications using NodeJS, Python, React, and Express on AWS, ensuring quality, security, and reliability. Build consumer-facing web UIs with modular frameworks while leveraging AI models, computer vision, and robotics APIs. Participate in architectural design discussions, conduct code reviews, and mentor junior engineers. Practice DevOps to automate testing and continuous releases, maintaining a rotating on-call schedule for incident management. Anchor engineering practices on observability and agile methodologies. Partner with product teams to scale the ecosystem and evolve the engineering environment.
Required Qualifications
- Bachelor's degree or equivalent combination of education, experience, or training
- Have strong technical and non-technical communications skills
- Be able to leverage a deep and broad set of experiences when considering solutions
- Practice patience while maintaining an action-oriented mindset while resolving technical and interpersonal conflict
- Have reliable instincts regarding the consequences of complexity
- Be experienced in designing, building, and consuming reliable, secure, synchronous, and asynchronous web services for front end utilization
- Have experience building consumer facing web ui utilizing modular and reactive ui frameworks
- Be able to participate in architectural design discussions, following best practices and learnings from your own failures
- Have contributed to the software change lifecycle, source control, and review processes in complex environments
- Anchor your design and engineering practices on the foundations of observability
- Expect that you are responsible for testing and asserting the quality of your own work in an automated and repeatable fashion
- Understand, practice, evolve, and promote agile development methodologies
- Have demonstrated having a technical vision for your the features you develop
- Feel comfortable owning the direction of your work and assisting more junior engineers with their work
- Know multiple tech stacks very well and are continually assessing emerging technology, tools, and patterns
- Are comfortable delivering moderately complex features by breaking them down into their components
- Learned how to learn and know when to ask questions versus figure things out on your own
- Can nurture this skill in others
- Have held several roles
- Have a good understanding of your technical and career direction
- Have experience in designing, building, and consuming reliable, secure, synchronous, and asynchronous web services for front end utilization
- Have experience building consumer facing web ui utilizing modular and reactive ui frameworks
- Be able to participate in architectural design discussions, following best practices and learnings from your own failures
- Have contributed to the software change lifecycle, source control, and review processes in complex environments
- Anchor your design and engineering practices on the foundations of observability
- Expect that you are responsible for testing and asserting the quality of your own work in an automated and repeatable fashion
- Understand, practice, evolve, and promote agile development methodologies
- Provide mentoring for more junior engineers to help them grow their skills and careers
- Review peers' technical designs, code, and tests, giving supportive feedback and asking good questions
- Work in a collaborative environment that rewards experiments, initiative, curiosity, and mentoring
- Leverage your knowledge to design full-stack applications for quality, security, reliability, availability, maintainability, and performance
- Practice DevOps ensuring a culture of testing and releasing software continuously using automation and monitoring
- Partner with other engineering and product teams to loosely couple and scale the ecosystem
- Have a rotating on-call schedule for off-site, local business-hours, contact
- The team as a whole handles incidents - which are uncommon
- Successfully operate within our engineering environment and help it evolve over time
- Have experience building consumer facing web ui utilizing modular and reactive ui frameworks
- Be able to participate in architectural design discussions, following best practices and learnings from your own failures
- Have contributed to the software change lifecycle, source control, and review processes in complex environments
- Anchor your design and engineering practices on the foundations of observability
- Expect that you are responsible for testing and asserting the quality of your own work in an automated and repeatable fashion
- Understand, practice, evolve, and promote agile development methodologies
- Provide mentoring for more junior engineers to help them grow their skills and careers
- Review peers' technical designs, code, and tests, giving supportive feedback and asking good questions
- Work in a collaborative environment that rewards experiments, initiative, curiosity, and mentoring
- Leverage your knowledge to design full-stack applications for quality, security, reliability, availability, maintainability, and performance
- Practice DevOps ensuring a culture of testing and releasing software continuously using automation and monitoring
- Partner with other engineering and product teams to loosely couple and scale the ecosystem
- Have a rotating on-call schedule for off-site, local business-hours, contact
- The team as a whole handles incidents - which are uncommon
- Successfully operate within our engineering environment and help it evolve over time
Desired Qualifications
- Leadership: Collaborative working style, excellent communication skills
- Languages: NodeJS, TypeScript, Python
- Frameworks: React, Express, NX monorepo
- Platforms: Docker, AWS, Azure, Databricks
- Services: Serverless Compute, Serverless Queuing, Elastic Compute, Data Streaming
- OSes: Linux, MacOS, Windows
- I.T.: Networking, PC Hardware
- Databases: PostgreSQL, SQLite, DynamoDB
- Tools: Github, Cursor, Splunk/SignalFX
- Knowledge: Industrial Robot APIs, ML models, LLM engineering, Computer Vision and Robotics
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