FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in MLOps and CI/CD practices, with a strong focus on building and maintaining scalable ML infrastructure using tools like Kubeflow and Spark on Kubernetes. Capable of integrating ML workflows with data governance frameworks while fostering a collaborative and supportive team environment.
Highest-signal resume keywords
CI/CDKubeflowSparkAWSKubernetes
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonInfrastructure as CodeTerraformCrossplaneML WorkflowsAPIsTestingVersioningDeployment FrameworksAutomation
Soft Skills
CollaborationSupportive Work EnvironmentPrioritizationDeveloper ExperienceBalancing Autonomy
Industry Keywords
MLOpsData CatalogPrivacyGovernancePlatform-as-a-Product
Tech Stack
Tools & technologiesAWSKubernetesPythonSparkTerraform
About the role
Key responsibilities & impact- Evolve and maintain Kubeflow, Feast, and Spark-on-Kubernetes infrastructure
- Design internal tools, APIs, and abstractions enabling distributed teams to own their full lifecycle
- Apply software engineering best practices, including CI/CD, versioning, and testing, to ML workflows
- Drive MLOps best practices and define lifecycle requirements for LLMOps
- Build deployment frameworks and automation from experimental notebooks to production solutions
- Collaborate with Infrastructure and Data squads
- Integrate ML artifacts into global Data Catalog, Privacy, and Governance frameworks
- Promote wellbeing and create a supportive work environment
Requirements
What you’ll need- Deep experience with CI/CD, Infrastructure as Code (Terraform/Crossplane), and observability
- Hands-on mastery of Kubeflow, Spark, AWS, and Kubernetes
- Strong Python skills for building reusable libraries, APIs, and tooling abstractions
- Ability to partner with Data Science teams to translate complex use cases into scalable solutions
- Platform-as-a-Product mindset focused on Developer Experience and continuous feedback
- Ability to balance distributed team autonomy with global platform standards
- Ability to prioritize robust, scalable production solutions
- Understanding of ML infrastructure integration with data cataloging and governance
Benefits
Comp & perks- Free Gold+ Wellhub membership with access to onsite gyms and studios, digital fitness programs, and online wellness resources
- Ability to add up to three family members to the Wellhub plan
- Wellz emotional wellbeing program with 52 individual therapy sessions per year and on-demand content
- Health, dental, and life insurance
- Remote and hybrid work options; home office reimbursement
- Flexible schedules aligned with time zones, team needs, and personal routines
- Vacations after 6 months
- Additional 3 days off per year
- 1 day off for each year of tenure, up to 5 additional days
- Extra holiday for your birthday
- 100% paid parental leave for all new parents
- Extended leave and ramp-back period for parents giving birth
- Career growth platforms, interactive sessions, personalized development roadmap, continuous learning, and internal opportunities