Azure Cloud Engineer managing Azure services for a frontier AI data foundry. Troubleshooting and optimizing cloud environments with hands - on expertise in Azure architecture.
About the role
- Site Reliability Engineer at Ford, collaborating on global monitoring and observability platform development. Ensuring software systems' availability, scalability, and automation.
Responsibilities
- Partner with and guide development teams, product managers, and other IT professionals in SRE best practices to improve reliability, MTTR/MTTD, quality, and time-to-market of our suite of software solutions across Ford
- Collaborate with development teams as a full-stack software engineer to design, build, and operate scalable and resilient software systems
- Guide partner teams in setting appropriate SLOs, leveraging distributed tracing, developing effective dashboards and custom metrics etc.
- Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating to continually improve our resilience as an enterprise
- Identify, reduce, and eliminate TOIL via automation to maximize our partner development teams’ time spent on engineering and innovation
- Perform root cause analysis of production incidents and implementing preventive measures
- Enable/guide partner teams to regularly review key site technical metrics such as transactions errors, logging, response times, caching strategies, capacity & resource utilization.
- Enable Partner teams to develop resilient back-end, front-end, business logic, data tier and integration tier, along with testing, CICD, monitoring, agile processes, and programming fundamentals.
- Maintain knowledge repository that includes standard operating procedures, SRE best practices & guides, release checklists, etc.
- Provide technical guidance and mentorship to other team members
Requirements
- Bachelor's degree in computer science, Computer Engineering, Electrical Engineering or related field or a combination of education and equivalent work experience
- 5+ years of experience with Golang, Python, Java, NoSQL/SQL Datastore, Spring Boot.
- 5+ years of experience with any APM and other monitoring tools such as Grafana Cloud, Dynatrace, New Relic, ELK, Splunk, Prometheus, Kafka, DataDog, PagerDuty.
- 3+ years of GCP, AWS, or Azure experience.
- 3+ years of experience maintaining, developing, and supporting multi-tier production applications
- Experience with automated testing, unit/integration/load and/or test-driven development
- Understanding of gRPC & RESTful APIs, and microservices platform
- Strong experience with establishing error budgets by identifying the right SLOs (Service level objective), SLIs (Service level indicators), KPIs (Key performance indicators) and effectively drive the use of the budget to ensure maximum domain availability/uptime.
- Experience in solving complex architecture/design & business problems, work to simplify, optimize, remove bottlenecks, etc.
- Strong background in software development and systems administration, as well as excellent problem-solving and communication skills.
- Experience with cloud platforms such as AWS, Google Cloud, or Azure
- Experience with data visualization tools such as, Alteryx, Tableau, Power BI and Qlik-Sense
- Familiarity with DevSecOps practices and integrating security into CI/CD pipelines
- Experience with SCA, SAST, DAST, Vulnerability Management, and CSPM tools to assist customers deliver secure services
- Proficiency in CI/CD and DevOps / GitOps practices
- Experience with GCP cloud services
- Demonstrable experience as a Site Reliability Engineer or similar role
- SRE Certification(s) is a plus
- Kubernetes experience is a plus
Job title
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Salary
Not specified
Degree requirement
Tech skills
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