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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in MLOps, CI/CD, and Infrastructure as Code, with a strong focus on building scalable ML solutions and integrating them into data governance frameworks. Proficient in leveraging tools like Kubeflow, Spark, and AWS to enhance developer experience and promote best practices in machine learning workflows.
Highest-signal resume keywords
CI/CDInfrastructure As CodeKubeflowSparkAWS
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonObservabilityAPIsReusable LibrariesML Workflows
Soft Skills
CollaborationSupportive Work EnvironmentBalancing Autonomy
Tools & Technologies
TerraformCrossplaneKubernetes
Industry Keywords
MLOpsData CatalogPrivacyGovernanceDeveloper Experience
Tech Stack
Tools & technologiesAWSKubernetesPythonSparkTerraform
About the role
Key responsibilities & impact- Evolve and maintain Kubeflow, Feast, and Spark-on-Kubernetes infrastructure
- Build internal tools, APIs, and abstractions that enable distributed teams to own their ML lifecycle
- Collaborate with Data Science teams to apply CI/CD, versioning, and testing best practices to ML workflows
- Drive MLOps best practices and define lifecycle requirements for LLMOps
- Create deployment frameworks and automation for production-grade AI solutions
- Partner with Infrastructure and Data squads to integrate ML artifacts into 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
- Experience building reusable libraries, APIs, and tooling abstractions
- Ability to translate complex Data Science 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 integrate ML infrastructure with broader data cataloging and governance
- Experience applying software engineering best practices to ML-specific workflows
Benefits
Comp & perks- Free Gold+ Wellhub membership with access to onsite gyms and studios, digital fitness programs, and online wellness resources
- 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
- Flexible 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 part-time ramp-back period for parents giving birth
- Career growth and continuous learning opportunities
- Personalized development roadmap and access to internal opportunities