Senior DevOps Engineer, IT - Data Operations Engineering

Bachelor's Degree in Computer Science , Engineering, Information Technology, or a related field and a minimum of 5 years of relevant experience in DevOps, platform engineering, site reliability engineering, or cloud infrastructure roles.

Strong hands-on experience administering and automating workloads on both Amazon Web Services and Microsoft Azure, including identity, networking, and storage services.

Demonstrated expertise building modular, reusable infrastructure with Terraform across multiple environments.

Proven experience designing and maintaining CI/CD pipelines in GitLab CI or an equivalent platform, including environment promotion, approval gates, and secrets handling.

Strong proficiency with Docker and Kubernetes, including EKS or AKS and running CI/CD or orchestration workloads on Kubernetes.

Hands-on experience operating Apache Airflow, including DAG deployment, scheduling, retries, backfills, pools, and failure recovery.

Solid Linux systems administration, shell scripting, and troubleshooting skills.

Hands-on experience implementing metrics, logging, dashboards, and alerting using tools such as Datadog or Grafana.

Demonstrated experience monitoring pipeline and data quality, owning first-line triage of production alerts, and writing and executing runbooks for recurring failures.

Working knowledge of secrets management, least-privilege access control, encryption key management, audit logging, and vulnerability remediation.

Working knowledge of cloud cost monitoring, attribution, tagging standards, and right-sizing practices.

Proficiency in Python or another scripting language used for automation and tooling.

Excellent analytical, troubleshooting, communication, and organizational skills with the ability to work across cross-functional and geographically distributed teams.

Ability to manage competing priorities in a fast-paced environment while maintaining attention to quality, controls, and long-term outcomes.

Adhere to all company rules and requirements, including Environmental Health & Safety rules, and take adequate control measures to prevent injuries, protect the environment, and prevent pollution under their span of influence or control.

Experience operating Databricks or Snowflake, including platform administration, policy management, and service principal or access management.

Experience with Databricks Asset Bundles, Unity Catalog, the Databricks Terraform provider, or managed Terraform state and gated production applies.

Experience with keyless authentication from CI, such as OIDC-based role assumption or IRSA.

Experience with data observability or AI-assisted operations capabilities, such as Monte Carlo, Datadog AI capabilities, or Databricks operations automation.

Experience with Astronomer, MWAA, or Airflow on Kubernetes using KubernetesExecutor .

Experience with Azure Data Factory, ADLS Gen2, Key Vault, Azure Monitor, and Entra ID, or AWS Glue, Athena, Lambda, and Secrets Manager.

Experience supporting hybrid or cross-cloud architectures and private connectivity among clouds and on-premises environments.

Experience migrating CI/CD from Jenkins or another legacy build platform.

Experience with streaming or change data capture technologies such as AWS DMS, Amazon MSK, or Kafka.

Experience with SALT, Ansible, Azure DevOps, or related configuration and delivery tooling.

Relevant experience in medical device , pharmaceuticals, or another highly regulated environment, including validation and change control expectations.

Relevant AWS, Azure, Kubernetes, or Terraform certifications.

Develops solutions to a variety of complex platform and operational problems and exercises judgment in selecting methods and techniques after considering risk and alternatives.

Works with general direction focused on end results and may provide technical guidance to lower-level personnel.

Participation in an on-call rotation may be required to support platform reliability.

Travel may be required up to 5%.