Sr. Automation Engineer

We are seeking a highly skilled Sr. 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, 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.

Addepar takes a market-based approach to pay. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York.

The current range for this role is $126,000 - $197,000 (base salary) + 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.

Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment.

What You’ll Do

Technical Leadership and Innovation:

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:

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

Who You Are

Expertise in designing and implementing automation frameworks

Strong programming skills in languages such as Python, Java, or JavaScript, emphasizing maintainable and scalable code

Hands-on experience with CI/CD pipelines, 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.