Software Development Engineer III

What You'll Be Doing

- Understand product requirements, architecture, and customer workflows and design effective validation strategies.

- Build and scale API/UI automation frameworks and reusable engineering guardrails across DRE.

- Develop automated coverage for new product features, customer workflows, regressions, and production issues.

- Perform release validation and continuously reduce the manual effort required for releases.

- Move validation earlier in the SDLC by integrating automated checks into development, PR, and CI/CD workflows.

- Build developer tooling that provides fast and actionable feedback to engineering teams.

- Expand automation coverage across Windows, Linux, Airwave, and other areas with limited current coverage.

- Convert customer and requirement scenarios into reusable automated validation contracts.

- Investigate failures across UI, APIs, backend services, logs, databases, containers, devices, and environments.

- Debug backend/cloud issues and contribute code fixes when required.

- Use AI coding tools and agents to accelerate development, automation, test generation, debugging, failure analysis, and maintenance.

- Improve the reliability, maintainability, and execution speed of existing automation.

- Contribute to Hard Commits, P3s, PFRs, backend/cloud engineering, and other DRE priorities as required.

- Partner with Engineering, Product, and Release teams to improve release confidence and developer velocity.

Skills & Abilities (Required)

3–5 years of relevant software testing/automation engineering experience.

- Strong software testing fundamentals and ability to design comprehensive validation strategies.

- Strong programming fundamentals in Java, Python, JavaScript/TypeScript, Go, or equivalent.

- Hands-on API testing and API automation experience.

- Hands-on UI automation experience using Playwright, Selenium, or equivalent.

- Experience designing/building reusable automation frameworks or test infrastructure.

- Good understanding of backend systems, APIs, databases, asynchronous processing, retries, queues, and failure handling.

- Ability to read, debug, modify, and test existing backend code.

- Strong debugging/RCA skills across application, API, backend, logs, database, automation, and environment layers.

- Experience integrating automated validation into PR and CI/CD workflows.

- Git/GitHub and modern software-development workflow experience.

- Ability and willingness to use AI-assisted development tools as part of day-to-day engineering.

- Strong ownership, problem-solving, and communication skills.

Bonus Points if You Have

- Hands-on backend/cloud development experience.

- Docker/Kubernetes experience.

- SQL/database debugging.

- Windows/Linux automation.

- Device-management or enterprise SaaS experience.

- Performance, reliability, scalability, or resilience testing.

- Internal developer-tooling experience.

- Observability/logging/metrics/tracing experience.

- Experience building AI/LLM/agent-assisted engineering workflows.

What We Think Makes Us Special

High ownership with direct impact on product and customer reliability.

- Quality is treated as an engineering responsibility rather than a downstream testing activity.

- Opportunity to influence how validation is built into the entire development lifecycle.

- Work across testing, automation, backend/cloud, device workflows, and developer tooling.

- AI-first engineering environment with opportunities to use AI for real development and quality problems.

- Ability to build reusable systems and guardrails consumed by multiple engineering teams.

- Direct impact on release confidence and engineering velocity.