We are seeking a highly skilled Staff Automation Engineer to drive the development and optimization of automation solutions that enhance developer productivity, improve software quality, and reduce technical debt. This role focuses on implementing scalable frameworks, advancing service-oriented architecture (SOA) practices, and enabling teams to achieve operational excellence through technical innovation. The ideal candidate is passionate about empowering developers, improving engineering efficiency, leveraging data-driven insights, and fostering a culture of continuous improvement.
The current range for this role is $144,000 - $225,000 + bonus + equity + benefits.Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.
Key Responsibilities:
- Technical Leadership and Innovation:
- Architect, develop, and maintain scalable automation frameworks and tools.
- Lead technical efforts to support both developer enablement and quality assurance needs.
- Provide expertise in designing and optimizing automation systems for maintainability, scalability, and performance.
- Developer Enablement:
- Build and deploy automation solutions that streamline the SDLC, including tools for test data generation, environment setup, and deployment pipelines.
- Integrate automation into CI/CD workflows to deliver rapid feedback and seamless deployments.
- Drive the adoption of developer-first tools to minimize friction and accelerate development processes.
- Implement and manage centralized software catalogs to improve discoverability, compliance, and reuse of automation tools and services.
- Technical Debt Reduction and Modernization:
- Identify and address technical debt in automation frameworks and infrastructure.
- Modernize legacy systems and align them with modern tools and methodologies.
- Evaluate emerging technologies to continuously improve developer and quality enablement capabilities.
- Quality Assurance and Metrics:
- Define and implement robust test automation strategies to ensure reliable and consistent quality across releases.
- Ensure comprehensive testing coverage, focusing on functional, integration, and end-to-end tests with an emphasis on SOA and microservices.
- Track and improve delivery performance metrics, such as DORA metrics (deployment frequency, lead time for changes, change failure rate, and mean time to recovery).
- Collaboration and Cross-Team Alignment:
- Partner with engineering, DevOps, and architecture teams to align automation strategies with organizational goals.
- Collaborate on service integration testing, contract testing, and system-level quality initiatives.
- Advocate for best practices and provide technical leadership in automation priorities across teams.
Required Qualifications:
- Proven experience as a technical leader in automation engineering or developer enablement.
- Expertise in designing and implementing automation frameworks for SOA and microservices architectures.
- Strong programming skills in languages such as Python, Java, or JavaScript, emphasizing maintainable and scalable code.
- Hands-on experience with CI/CD pipelines, infrastructure-as-code (IaC), and build automation tools (e.g., Jenkins, GitHub Actions, Terraform).
- Deep understanding of service integration testing, contract testing, and system reliability testing.
- Demonstrated success in improving DORA metrics across engineering teams.
Preferred Qualifications:
- Experience with cloud-native technologies and platforms (e.g., AWS).
- Familiarity with developer tooling and software cataloging tools and practices (e.g., Backstage, SonarQube, IDE plugin development).
- Expertise in pipeline technologies, including CI/CD orchestration, artifact management, and automated rollbacks (e.g., Jenkins, GitHub Actions, ArgoCD, Artifactory).
- Proficiency with build tools and dependency management systems (e.g., Maven, Gradle, Bazel, npm, Yarn).
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Strong understanding of Agile and DevOps principles.