SUMMARY

We are looking for a hands-on Senior Platform Engineer to build and extend an internal developer platform focused on self-service environment provisioning, platform automation, and reusable engineering capabilities.

This is not a traditional DevOps-only role. The engineer will work across software engineering and platform engineering, building both the internal vending platform and the reusable components it delivers to engineering teams.

JOB RESPONSIBILITIES

Build and enhance internal platform services using Python, FastAPI/Flask, REST APIs, and related frameworks.
Develop reusable Python libraries, wheel packages, plugins, SDKs, and automation components.
Build custom plugins for data governance, data contracts, schema/DDL generation, event-driven architecture, validation, and platform guardrails.
Automate data-contract-driven workflows, including generating DDLs, schemas, configuration, governance rules, or deployment assets.
Create reusable golden paths and project templates using Jinja, Copier, or similar frameworks.
Build and maintain Terraform modules for AWS, IAM, EKS, Airflow, Databricks, secrets, and supporting infrastructure.
Support multi-account and multi-environment AWS deployments.
Build and maintain Harness CI/CD pipelines for infrastructure, platform services, Airflow, Databricks, and application workloads.
Integrate Harness with GitHub/GitLab, Terraform, AWS, Kubernetes, and secrets-management systems.
Support Kubernetes / Amazon EKS, Airflow / Astronomer, Databricks / Unity Catalog, Kafka / Confluent, and observability platforms.
Implement secure IAM, cross-account access, policy controls, and least-privilege design.
Troubleshoot end-to-end platform workflows across APIs, pipelines, Terraform, AWS, Kubernetes, Airflow, and Databricks.

QUALIFICATIONS

5+ years in Platform Engineering, Cloud Engineering, DevOps, SRE, Infrastructure Engineering, or Software Engineering.
Strong Python development experience beyond scripting.
Experience with FastAPI, Flask, REST APIs, and production Python services.
Experience building reusable Python packages, plugins, or internal developer tooling.
Strong Terraform experience, including reusable modules and state management.
Strong AWS experience, including multi-account environments and IAM.
Strong CI/CD experience using Harness.
Experience with GitHub and/or GitLab.
Docker and Kubernetes / EKS knowledge.
Strong troubleshooting, API integration, and software-engineering practices.

Preferred Skills

Apache Airflow / Astronomer
Databricks / Unity Catalog
Databricks Asset Bundles
Data contracts / ODCS
Data governance automation
Event-driven architectures
Kafka / Confluent
Backstage
Jinja / Copier
OPA / Rego
Datadog
Terraform Cloud / HCP Terraform
Harness.

JOB REQUIREMENTS

Should be willing to accept a long-term work-from-home arrangement.
Should be amenable to a permanent night shift schedule.

Data Platform Engineer