Software Engineer

Beaverton, OR - USA

Monthly Salary: Not Disclosed

Posted on: 13 hours ago

Vacancies: 1 Vacancy

Job Summary

*** This is a proactive position that will be opening in 2-3 days max. Initial contract is for the remainder of Nikes fiscal year (which means the contract will definitely be extended). We can sell as a long-term contract. The position shows this can be 100% remote but lets focus on previous Nike contractors. We need to plan for submitting our best candidates by EOD Friday or early Monday morning. ***

WHO WE ARE LOOKING FOR

We seek an experienced software engineer passionate about designing and delivering robust scalable AI/ML solutions that accelerate insights at enterprise scale. You thrive in a fast-paced collaborative environment and have a proven track record of building high-quality software.

WHAT YOU WILL WORK ON

Design develop and maintain scalable AI services powering our data platforms.
Build SDKs APIs and microservices to support enterprise-wide applications.
Develop agentic workflows and AI/LLM-powered enterprise applications.
Collaborate with product managers and cross-functional engineering teams to deliver impactful solutions.
Implement best practices in software development data governance and platform observability.
Participate in code reviews provide constructive feedback and mentor junior engineers.

REQUIRED EXPERIENCE

Bachelors degree in Computer Science or related field (Masters preferred but not required).
5 years of professional software development experience.
Strong programming skills in Python (additional languages a plus).
Hands-on experience with AWS Cloud Platform and large-scale application development on cloud platforms.
Knowledge and experience in agentic workflows AI/LLM-powered enterprise applications and interoperability standards such as A2A and MCP protocol.
Knowledge and experience in operationalizing LLMs including evaluation pipelines (automated and human-in-the-loop) guardrails for safety and compliance and continuous improvement strategies for model performance.
Familiarity with LLM tooling and frameworks such as LangChain Guardrails AI OpenAI Evals or similar for monitoring observability and governance.
Proficiency in object-oriented multi-tier architectures within complex environments.
Experience with Infrastructure-as-Code (IaC) and GitOps workflows.
Familiarity with containerization (Docker) CI/CD pipelines and dependency management tools (e.g. Poetry uv).
Experience working in Agile development environments and mentoring junior engineers.
Strong problem-solving and analytical skills with a focus on delivering well-tested well documented code.
Ability to communicate technical concepts in business terms translating insights into actionable recommendations.

PREFERRED

Experience working on Databricks platform
Knowledge of Atomic Design principles for scalable component organization.
Experience in Test-Driven Development (TDD) or willingness to adopt TDD practices.
Familiarity with instrumentation and monitoring tools (e.g. New Relic Splunk).
Understanding of API documentation standards (OpenAPI/Swagger).
Knowledge of enterprise authentication/authorization protocols (OAuth OIDC Okta or similar SSO platforms).

WHO WE ARE LOOKING FOR

WHAT YOU WILL WORK ON

Design develop and maintain scalable AI services powering our data platforms.
Build SDKs APIs and microservices to support enterprise-wide applications.
Develop agentic workflows and AI/LLM-powered enterprise applications.
Collaborate with product managers and cross-functional engineering teams to deliver impactful solutions.
Implement best practices in software development data governance and platform observability.
Participate in code reviews provide constructive feedback and mentor junior engineers.

REQUIRED EXPERIENCE

Bachelors degree in Computer Science or related field (Masters preferred but not required).
5 years of professional software development experience.
Strong programming skills in Python (additional languages a plus).
Hands-on experience with AWS Cloud Platform and large-scale application development on cloud platforms.
Knowledge and experience in agentic workflows AI/LLM-powered enterprise applications and interoperability standards such as A2A and MCP protocol.
Knowledge and experience in operationalizing LLMs including evaluation pipelines (automated and human-in-the-loop) guardrails for safety and compliance and continuous improvement strategies for model performance.
Familiarity with LLM tooling and frameworks such as LangChain Guardrails AI OpenAI Evals or similar for monitoring observability and governance.
Proficiency in object-oriented multi-tier architectures within complex environments.
Experience with Infrastructure-as-Code (IaC) and GitOps workflows.
Familiarity with containerization (Docker) CI/CD pipelines and dependency management tools (e.g. Poetry uv).
Experience working in Agile development environments and mentoring junior engineers.
Strong problem-solving and analytical skills with a focus on delivering well-tested well documented code.
Ability to communicate technical concepts in business terms translating insights into actionable recommendations.

PREFERRED

Experience working on Databricks platform
Knowledge of Atomic Design principles for scalable component organization.
Experience in Test-Driven Development (TDD) or willingness to adopt TDD practices.
Familiarity with instrumentation and monitoring tools (e.g. New Relic Splunk).
Understanding of API documentation standards (OpenAPI/Swagger).
Knowledge of enterprise authentication/authorization protocols (OAuth OIDC Okta or similar SSO platforms).