Sr Software Engineer, Security Automation & Analytics

TekWissen•Seattle, WA

1d•Hybrid

About The Position

The Security Platform Engineering team builds and operates security capabilities across endpoint detection, email security, data encryption, GRC engineering, network security, and security assessments. This developer-focused contractor will expand the team’s automation capacity, working under the direction of a senior Security Platform Engineering engineer. The role contributes automation, integrations, and reporting that reduce manual effort and improve leadership visibility into security programs. The position focuses on modernizing security reporting dashboards, building data pipelines and APIs, developing AI-driven workflows and agents, and integrating enterprise tools. It also includes infrastructure-as-code and CI/CD work, security reviews, production support through an on-call rotation, and writing maintainable, tested, and documented code. The engineer will translate requirements from security engineers and program stakeholders into technical solutions and create documentation and handoff materials to support work after the engagement.

Requirements

At least 5 years of professional software development experience.
Strong proficiency in Python and Java.
Hands-on experience designing, building, and consuming REST APIs and system integrations.
Hands-on experience with Terraform for infrastructure as code and GitHub Actions for CI/CD.
Experience building dashboards or reporting solutions, including data modeling and backend data sources.
Working knowledge of Google Looker Studio or comparable BI tools such as Looker, Tableau, or Power BI.
Experience with SQL and relational or cloud data stores, such as BigQuery.
Familiarity with secure development practices and participating in security reviews.
Willingness and ability to support on-call rotations.
Ability to work independently on defined tasks, take direction, and communicate progress clearly.
Bachelor's or master's degree in computer science, cybersecurity, or a related field, or equivalent experience.

Nice To Haves

Experience building with LLM APIs, prompt engineering, agent frameworks, or workflow automation.
Familiarity with cloud platforms such as GCP, AWS, or Azure.
Experience with Jira, Slack, or Confluence APIs.
Exposure to security, GRC, or enterprise risk reporting data.
Experience migrating or modernizing legacy reporting solutions.
Comfort working across technical and non-technical stakeholders.
Strong ownership mindset and ability to take a loosely defined problem and propose a design.
Clear written communication, especially documentation.

Responsibilities

Re-architect and rebuild security reporting dashboards, replacing existing Looker Studio front ends and backend designs to support new reporting requirements.
Design and build data pipelines and APIs that feed dashboards and operational reporting.
Develop AI-driven automation, including LLM-based workflows and agents, to streamline security operations, reporting, and routine program tasks.
Build and maintain integrations between enterprise tools, such as Jira, Slack, Confluence, and security platforms, using REST APIs.
Provision and manage infrastructure as code using Terraform, and build and maintain CI/CD pipelines with GitHub Actions.
Participate in security reviews of code, designs, and infrastructure, and remediate findings.
Participate in the team's on-call rotation, supporting production automations and integrations.
Contribute to security automation initiatives as priorities evolve.
Write clean, tested, and documented code in Java and Python, and contribute to code reviews.
Translate requirements from security engineers and program stakeholders into technical solutions.
Document designs, runbooks, and handoff materials so work can be sustained after the engagement.