Senior DevOps Engineer, IT - Data Operations Engineering

Embed security operations into the platform lifecycle through secrets management, short-lived credentials, least-privilege access, encryption key policies, audit logging, and vulnerability remediation.

Drive cloud cost optimization through cost attribution, policy enforcement, right-sizing, tagging standards, and anomaly alerting.

Support secure cross-cloud connectivity and data movement between AWS-resident source systems and the Azure data platform.

Identify opportunities for automation, reusable standards, reliability improvement, and technical debt reduction, and provide technical guidance to team members.

What you will need (Required)

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.

What else we look for (Preferred)