Platform Engineer

Role Summary

The Platform Engineer will be a hands-on owner of enterprise data platform implementations supporting customer deployments and large-scale programs.

Working closely with architecture leadership, this role focuses on building, configuring, integrating, and operating platform components across on-prem, hybrid, and cloud environments. The Platform Engineer translates architectural blueprints into reliable, secure, and production-ready environments, with a strong emphasis on automation, observability, and operational excellence.

Core Responsibilities

• Implement and operate enterprise data platforms across on-prem, hybrid, and cloud environments.

• Deploy, configure, and manage data services, pipelines, orchestration, governance, and security components.

• Build and maintain CI/CD pipelines and infrastructure-as-code (IaC) for provisioning, upgrades, and lifecycle management.

• Implement and manage integration points between distributed data services and underlying compute and storage layers.

• Configure and tune platform components for performance, reliability, and cost efficiency.

• Implement security controls including IAM, encryption, RBAC, and SSO in alignment with architectural and compliance requirements.

• Establish monitoring, logging, and alerting across platform components using modern observability tools.

• Troubleshoot and resolve issues across data pipelines, platform services, and infrastructure layers.

• Contribute to runbooks, operational documentation, and platform configuration standards.

• Provide feedback on platform behavior, constraints, and improvement opportunities.

• Support implementation teams with technical guidance, best practices, and hands-on assistance during deployments.

Key Skills & Tools

Platform & Data Technologies

• Distributed processing, query engines, orchestration, metadata, governance, and object storage technologies

Infrastructure & Automation

• Infrastructure-as-code (e.g., Terraform or equivalent)

• Kubernetes (K8s), OpenShift (OCP), Docker

• Linux systems administration and shell scripting

• CI/CD tooling (e.g., GitHub Actions, GitLab CI, Jenkins, Argo CD, Flux)

Security & Governance

• IAM, SSO, encryption at rest and in transit, RBAC

• Experience implementing policy-based access controls

Monitoring & Observability

• Metrics and monitoring platforms (e.g., Prometheus, Grafana, Datadog)

• Centralized logging solutions (e.g., ELK/OpenSearch or cloud-native logging)

Programming & Scripting

• Python (preferred), with familiarity in Java or Scala

• Bash or similar scripting for automation

Ways of Working

• Strong understanding of distributed systems and data pipelines

• Ability to move from architecture diagrams and requirements to working implementations

• Strong debugging and problem-solving skills in complex, multi-service environments

Ideal Background

• 3–7 years of experience as a Platform Engineer, DevOps Engineer, Site Reliability Engineer, or Data Platform Engineer.

• Hands-on experience deploying and operating open-source or Kubernetes-based data platforms.

• Experience working in at least one major cloud provider (AWS, GCP, Azure) with exposure to hybrid or on-prem environments.

• Familiarity with enterprise security and governance practices and the ability to implement defined controls.

• Comfortable collaborating with architects, engineers, and customer-facing teams to resolve technical challenges.

Success Criteria

• Reliable, secure, and performant environments deployed according to architectural designs and client requirements.

• Reduced deployment time and operational issues through automation, standardization, and improved tooling.

• Stable operations supported by effective monitoring, alerting, and well-documented runbooks.

• Positive feedback from architecture leadership, implementation teams, and customers.

• Clear, repeatable implementation patterns and IaC modules reusable across multiple deployments.