December 11
AWS
Cloud
Docker
Gradle
Java
JavaScript
Jenkins
Kubernetes
Maven
Microservices
Python
SaltStack
SDLC
Terraform
Yarn
• Who We Are • Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. • Hundreds of thousands of users have entrusted Addepar to empower smarter investment decisions and better advice over the last decade. • With client presence in more than 45 countries, Addepar’s platform aggregates portfolio, market, and client data for over $6 trillion in assets. • Addepar’s open platform integrates with more than 100 software, data, and services partners to deliver a complete solution for a wide range of firms and use cases. • Addepar embraces a global flexible workforce model with offices in Silicon Valley, New York City, Salt Lake City, Chicago, London, Edinburgh, and Pune. • We are seeking a technically adept Manager of Automation Engineering to lead the development and optimization of automation solutions that drive developer productivity, enhance software quality, and reduce technical debt. • This role is pivotal in implementing scalable frameworks, improving service-oriented architecture (SOA) practices, and enabling teams to measure and achieve excellence in delivery. • The ideal candidate is passionate about empowering developers, improving engineering efficiency, being data-driven, and fostering a culture of continuous improvement.
• Proven experience managing or leading technical teams 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, with a focus on maintainability and scalability. • Hands-on experience with CI/CD pipelines, infrastructure-as-code (IaC), and build automation tools (e.g., Jenkins, GitHub Actions, Terraform). • In-depth understanding of service integration testing, contract testing, and system reliability testing. • Demonstrated success in measuring and improving DORA metrics across teams. • 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 and practices, 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.
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