In This Role
As a Software Engineer – Automation, you will design, build, and maintain scalable automation solutions that improve operational readiness, data validation, and engineering workflow efficiency. You will help transform manual, spreadsheet-driven, and ad hoc processes into reliable software-based workflows by integrating data from multiple sources, applying validation logic, generating actionable reporting, and supporting human review processes where appropriate.
This role requires a strong engineering mindset, the ability to work through ambiguous business and operational challenges, and experience developing automation tools, backend systems, and data processing solutions. You will collaborate closely with engineering, operations, and program stakeholders to create trusted, maintainable, and scalable automation capabilities that drive efficiency and operational excellence.
Key Responsibilities
- Design, develop, and maintain automation pipelines that streamline operational, validation, and engineering workflows.
- Analyze business and operational requirements and translate manual processes into scalable technical solutions.
- Integrate and consolidate data from databases, APIs, work tracking systems, spreadsheets, document repositories, and other enterprise data sources.
- Build software solutions that ingest, normalize, validate, and report on operational and telemetry-related data.
- Develop reusable validation frameworks, quality checks, and reporting components that can be leveraged across multiple workflows.
- Automate manual review and approval processes while maintaining appropriate human oversight and governance controls.
- Create reliable scripts, services, and tools with robust logging, monitoring, error handling, retry mechanisms, and auditability.
- Produce technical specifications, implementation plans, test strategies, and supporting documentation.
- Enhance and maintain existing automation tools to align with evolving business requirements and operational standards.
- Conduct unit testing, integration testing, system validation, and post-deployment verification activities.
- Troubleshoot issues across both modern and legacy systems, identify root causes, and implement long-term solutions.
- Partner with engineering, operations, and program stakeholders to ensure automation outputs are accurate, actionable, and operationally effective.
- Support the development of repeatable reporting pipelines, operational readiness tooling, and data quality verification processes.