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job description
the global data insight & analytics organization is looking for a devops engineer focused on building and driving the strategy forward for our internal data science / ai / ml teams and platforms. This role will work in a small, cross-functional team and will collaborate directly and continuously with other engineers, business partners, product managers, and designers, releasing early and often.
responsibilities
* work closely with tech anchor, product manager, and development team to design, implement, and manage gcp-based infrastructure.
* innovate and standardize devops best practices.
* experiment, innovate, and share knowledge with the team.
* proficiency in using git for version control, git actions, and collaboration.
* lead by example in use of paired programming for cross-training/upskilling, problem-solving, and speed to delivery.
* optimize and automate deployment pipelines and ci/cd processes.
* optimize cloud resource utilization and costs.
* implement monitoring, logging, and alerting solutions.
* collaborate with development teams to improve application security, performance, and reliability.
* ensure security best practices are followed across our cloud infrastructure.
* experience with integration and performance testing, including scaling and load testing.
* integrate gcp services with existing on-premises infrastructure, including high-performance computing (hpc) systems.
qualifications
* english proficiency (written and verbal).
* a bachelor’s degree in computer science, computer engineering, or a similar technical discipline.
* 3+ years of experience in devops or site reliability engineering.
* strong proficiency with gcp services (cloud run, kubernetes engine, cloud storage, apigee, etc.).
* experience with infrastructure as code (e.g., terraform, cloud deployment manager).
* proficiency in scripting languages (e.g., python, bash, powershell).
* knowledge of ci/cd tools (e.g., tekton, cloud build).
* strong problem-solving and communication skills.
* experience in devsecops using tools such as artifact registry, quay, sonarqube, checkmarks, fossa, etc.
* experience in container management solutions (e.g., kubernetes, docker, gke).
* knowledge of security practices in cloud environments.
* experience managing fim groups and integrating with corporate sso systems.
desired skills
* gcp professional cloud devops engineer certification.
* understanding of mlops/machine learning life cycle and common machine learning frameworks (sklearn, tensorflow, pytorch, etc.) is a big plus.
* experience applying agile practices to solution delivery.
* knowledge of genai technologies and concepts is a plus.
ford motor company is an equal opportunity employer, committed to a diverse workforce, and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability.
seniority level
not applicable
employment type
full-time
job function
engineering and information technology
industries
motor vehicle manufacturing
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