> Markdown version of [/jobs/ext/3549012-site-reliability-automation-engineer](https://www.wearedevelopers.com/jobs/ext/3549012-site-reliability-automation-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Site Reliability Automation Engineer - **Company:** Bny Linkedin - **Location:** Lake Mary, FL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Azure, Cloud Computing, Computer Programming, Databases, Linux, Distributed Systems, Python (Programming Language), PostgreSQL, Enterprise Messaging Systems, MongoDB, RabbitMQ, Redis, Software Engineering, Private Cloud Environment, Kubernetes, Information Technology, Amazon Simple Queue Service (SQS) - **Published:** October 2, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2993721638-2 ## About the Role * Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred. 8-10 years of related experience required; experience in the securities or financial services industry is a plus. * 8+ years of software engineering experience, including DevOps or Site Reliability Engineering roles. * Strong programming experience in Python or Go. * Deep understanding of Linux systems and distributed systems architecture. * Hands-on experience with cloud platforms, including MS Azure and Private Cloud. * Experience defining and maintaining SLOs and error budgets. * Experience with Kubernetes and container orchestration. * Strong knowledge of databases and messaging systems (e.g., PostgreSQL, MongoDB, Redis, RabbitMQ, SQS). * Experience managing and mentoring engineering teams. ## Description * Design and implement automation platforms supporting self-healing and auto-remediation frameworks. * Develop backend services and automation tools primarily in Python and Go. * Build and maintain monitoring using Monitoring-as-a-Code practices. * Manage containerized workloads using Kubernetes and Docker.