Ford Motor Company is a global leader in the automotive industry, and they are seeking an SRE Sr Engineer/Specialist to develop and enhance their global monitoring and observability platform. The role involves blending AI with software engineering to ensure the uptime and scalability of critical cloud services, while also driving the adoption of monitoring capabilities.
Responsibilities:
- Write, configure, and deploy code that improves service reliability for existing or new systems; set standard for others with respect to code quality
- Provide helpful and actionable feedback and review for code or production changes
- Drive repair/optimization of complex systems with consideration towards a wide range of contributing factors
- Lead debugging, troubleshooting, and analysis of service architecture and design
- Participate in on-call rotation
- Write documentation: design, system analysis, runbooks, playbooks. Provide design feedback and uplevel design skills of others
- Implement and manage SRE monitoring applications using AI, Python, and Observability data
- Develop tooling using Terraform and other IaC tools to ensure visibility and proactive issue detection across our platforms
- Work within GCP infrastructure, optimizing performance, and cost, and scaling resources to meet demand
- Collaborate with development teams to enhance system reliability and performance, applying a platform engineering mindset to system administration tasks
- Develop and maintain AI-enhanced automated solutions for operational aspects such as on-call monitoring, performance tuning, and disaster recovery
- Troubleshoot and resolve issues in our dev, test, and production environments
- Participate in postmortem analysis and create preventative measures for future incidents
- Implement and maintain security best practices across our infrastructure, ensuring compliance with industry standards and internal policies. Participate in security audits and vulnerability assessments
- Participate in capacity planning and forecasting efforts to ensure our systems can handle future growth and demand. Analyze trends and make recommendations for resource allocation
- Identify and address performance bottlenecks through code profiling, system analysis, and configuration tuning. Implement and monitor performance metrics to proactively identify and resolve issues
- Develop, maintain, and test disaster recovery plans and procedures to ensure business continuity in the event of a major outage or disaster. Participate in regular disaster recovery exercises
- Contribute to internal knowledge bases and documentation
Requirements:
- Bachelor's degree in Computer Science, Engineering, Mathematics or equivalent work experience
- 3+ years of experience as an SRE, DevOps Engineer, Software Engineer or similar role
- Strong experience with Python development and desired familiarity with Terraform Provider development
- Proficient with monitoring and observability tools
- Proficient with cloud services, with a strong preference for Kubernetes and Google Cloud Platform (GCP) experience
- Solid programming skills in Python, with a good understanding of software development best practices
- Experience with relational and document databases
- Ability to debug, optimize code, and automate routine tasks
- Strong problem-solving skills and the ability to work under pressure in a fast-paced environment
- Excellent verbal and written communication skills
- Agentic AI and MCP development experience
- Experience with Dynatrace SaaS