Platform Engineer - Databricks and Cloud

• Architect and implement highly available cloud solutions using AWS services (EC2, EKS, Lambda, API Gateway, VPC, IAM, Redshift, Glue, etc.)

• Define cloud architecture standards, best practices, and governance aligned with AWS Well-Architected principles.

• Drive Infrastructure-as-Code (IaC) adoption using Terraform or AWS CDK with reusable and modular designs.

• Define and manage CI/CD strategies including multi-environment deployments, automated testing, and rollback mechanisms,

• Design secure cloud environments covering IAM, network security, encryption, secrets management, and compliance.

• Collaborate with data engineering teams to build platforms using AWS Glue, Databricks, Redshift, and DynamoDB.

• Implement observability frameworks (monitoring, logging, alerting) using tools like CloudWatch, Prometheus, Grafana, Datadog, or ELK.

• Optimize cloud environments for performance, scalability, reliability, and cost (FinOps practices).

• Lead client discussions, translate business requirements into architecture solutions, and provide strategic guidance.

• Guide engineering teams to follow architectural standards and DevOps best practices.

• Support multi-account cloud strategies using AWS Organizations, Control Tower, or Landing Zone patterns.

Must have:

• Strong experience designing enterprise-scale AWS cloud architectures.

• Expertise in Infrastructure-as-Code (Terraform / AWS CDK) with modular design practices.

• Deep understanding of microservices, serverless, and container-based architectures.

• Hands-on experience with Kubernetes (EKS) and container orchestration.

• Strong knowledge of CI/CD pipelines and DevOps methodologies.

• Proficiency in Python, Bash, or similar scripting languages.

• Experience implementing cloud security and compliance control.

• Strong networking knowledge (VPC design, hybrid connectivity, security)

• Experience with modern data platforms (Databricks, AWS Glue, Redshift, etc.)

• Strong communication and stakeholder management skills.

• Ability to lead teams and drive architectural decisions.

Good to Have: 

• Experience with multi-cloud environments (AWS + Azure)

• Knowledge of FinOps and cost optimization strategies.

• Exposure to enterprise cloud governance frameworks.

• Experience in platform engineering or internal developer platforms.

• Familiarity with Agile delivery in consulting environments.

• AWS certifications (Solutions Architect, DevOps Engineer, etc.)

Eligibility:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field.

• Significant hands-on experience in AWS cloud architecture and DevOps environments.

• Experience working in enterprise or consulting setups with client-facing responsibilities.