Job Description

The candidate must be highly hands-on with Databricks on AWS, comfortable with Terraform-based infrastructure provisioning, and able to improve DevOps/MLOps processes across Dev, QA, and Production environments. The person must also be comfortable working in ambiguity and bringing structure to evolving platform needs.

Essential Job Functions:

• Work Mode: Hybrid – 3 days/week in office

• Maintain, enhance, and support the enterprise Data Science Platform.

• Provision and manage platform environments for multiple teams using Terraform and AWS.

• Support deployment and productionization of ML pipelines, data pipelines, notebooks, jobs, workflows, and platform features.

• Standardize promotion of changes from Dev → QA → Prod.

• Work hands-on with Databricks workspaces, clusters, jobs, workflows, Unity Catalog, Delta Lake, MLflow, secrets, access controls, and deployment patterns.

• Improve platform reliability, security, performance, cost, monitoring, and operational efficiency.

• Create reusable automation, Terraform modules, runbooks, release processes, and operating standards.

• Troubleshoot platform, Databricks, AWS, CI/CD, access, pipeline, and deployment issues.

• Work with data science, data engineering, DevOps, cloud, security, and product teams.

Basic Qualifications:

• 7–10 years of experience in platform operations, cloud engineering, DevOps, MLOps, or data platform support.

• Strong hands-on experience with Databricks on AWS.

• Strong hands-on experience with Terraform for infrastructure provisioning.

• Good understanding of AWS services such as IAM, S3, VPC, EC2, CloudWatch, KMS, Secrets Manager, Lambda/Glue.

• Experience managing Dev, QA, Stage, and Production environments.

• Strong understanding of CI/CD, release management, deployment automation, rollback, and production support.

• Good understanding of MLOps concepts such as ML pipelines, model registry, model promotion, and production monitoring.

• Strong troubleshooting, documentation, communication, and stakeholder management skills.

• Must be able to work independently in ambiguous and changing environments.

Other Qualifications:

• Databricks Asset Bundles, Databricks CLI, dbx, or similar deployment tools.

• Airflow, AWS Step Functions, or Databricks Workflows.

• Unity Catalog governance, data quality, lineage, and access-control experience.

• Observability tools such as CloudWatch, Splunk, Datadog, Grafana, or Prometheus.

• Docker, Kubernetes, or EKS.

• AWS SageMaker, Bedrock, GenAI, RAG, vector search, or LLM workload experience.

• Databricks/AWS cost optimization and FinOps exposure.

Working Environment:

This is a hands-on Platform Ops Architect role based in Plano, TX, requiring three days per week in office. The role involves working with platform engineering, data science, data engineering, DevOps, cloud, security, and product teams. The candidate should be able to bring structure, standardization, and execution discipline in an evolving platform environment.

Note: "To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a US Citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State."

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

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