The role involves designing, implementing, and supporting scalable cloud environments across AWS, Azure, and GCP. You will be responsible for infrastructure automation, CI/CD pipeline management, and the operational support of data platforms like Databricks and Apache Airflow.
SUMMARY
We are looking for an experienced Data
Platform Engineer with a strong background in cloud infrastructure, DevOps,
and enterprise technology solutions. The role will be responsible for
designing, implementing, and supporting scalable and secure cloud environments
across AWS, Azure, and GCP. The ideal candidate should have experience in cloud
migration, infrastructure automation, CI/CD, Kubernetes, Terraform, data
platforms, and cloud security while working closely with technical teams and
stakeholders.
JOB RESPONSIBILITIES
Strong experience with
Python for platform engineering, automation, and integrations
Hands-on experience
with Apache Airflow / Astronomer Astro, including DAG development and
operational support
Experience
administering and integrating Databricks, including workspaces, jobs, clusters,
notebooks, and Unity Catalog
Solid understanding of
AWS, including IAM, EKS, S3, Secrets Manager, Lambda, CloudWatch, and
networking
Experience with
Infrastructure as Code, preferably Terraform, for cloud and platform
provisioning
Familiarity with CI/CD
pipelines and deployment automation, including Harness and GitOps practices
Experience designing
and supporting self-service platform capabilities and reusable onboarding
patterns
Strong knowledge of
cloud security, including IAM roles, policies, secrets management, and
governance
Proven troubleshooting
skills across infrastructure, platform, and application integration layers
Strong communication
and collaboration skills, with experience working alongside onshore architects
and client or delivery teams.
QUALIFICATIONS
At least 5+ years of
experience in Cloud Engineering, Cloud Architecture, DevOps, or related
technical roles.
Strong hands-on
experience with AWS, Microsoft Azure, or Google Cloud Platform (GCP).
Experience with CI/CD
tools, infrastructure automation, and Infrastructure as Code, particularly
Terraform.
Knowledge of Docker,
Kubernetes, and containerized environments.
Experience with cloud
migration, networking, security, and identity and access management.
Knowledge of DevOps
practices, system monitoring, and troubleshooting.
Experience working
with data platforms or enterprise applications is an advantage.
Strong communication
and stakeholder management skills.
Relevant cloud
certifications are preferred.
JOB REQUIREMENTS
Should be willing to
accept a long-term work-from-home arrangement.
Should be amenable to
a permanent night shift schedule.
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