Lead – AWS DevOps

This is a fully remote position, open to applicants in India.

📋 Description

• Assist in the support, maintenance, and enhancement of AWS cloud infrastructure across Development, Validation, UAT, and Production environments.

• Take the lead in frontline support for cloud-hosted applications and infrastructure.

• Execute incident management, troubleshooting, root cause analysis, performance optimization, and resolution of production issues in accordance with SLAs.

• Oversee and manage AWS services such as EKS, EC2, RDS, Redshift, S3, CloudFront, WAF, IAM, Route53, DynamoDB, Lambda, SNS, SQS, and CloudWatch.

• Spearhead production deployments, platform upgrades, change implementations, patching, vulnerability remediation, and infrastructure lifecycle management.

• Create and sustain Infrastructure as Code solutions utilizing CloudFormation, Terraform, or similar tools.

• Collaborate with Application, DevOps, Security, Data Engineering, Analytics Engineering, and Business teams regarding onboarding, enhancements, migrations, and releases.

• Support operations of DataOps and AI platforms, including Databricks, Redshift, Bedrock, and AI Gateway.

• Implement monitoring, alerting, dashboards, operational runbooks, and automation solutions.

• Aid in IAM governance, backup management, disaster recovery preparedness, audits, and operational risk management.

• Collaborate with Cloud Engineering teams on standardization, modernization, automation, and operational excellence.

• Facilitate cloud cost optimization through right-sizing, utilization analysis, tagging governance, chargeback, and FinOps practices.

⛳️ Requirements

• Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.

• 3 to 5 years of experience in managing and supporting enterprise cloud infrastructure.

• A minimum of 2+ years of hands-on experience with AWS.

• Strong knowledge of AWS services including EKS, EC2, RDS, S3, IAM, VPC, CloudFront, WAF, Route53, Lambda, CloudWatch, Redshift, and other related cloud-native services.

• Experience with Kubernetes, containerized workloads, platform engineering, and EKS operations.

• Proven experience with Infrastructure as Code (CloudFormation, Terraform, AWS CDK, or similar).

• Background in production support environments with incident management, problem management, and ownership of operational SLAs.

• Familiarity with CI/CD pipelines, GitHub, GitHub Actions, Jenkins, ArgoCD, or other related DevOps tools.

• Comfort working alongside Data Engineering and Analytics teams; exposure to Databricks, AWS Glue, DBT, or similar data platform technologies is advantageous.

• Working knowledge of AWS IAM, Secrets Manager, KMS, cloud security best practices, and vulnerability remediation processes.

• Strong troubleshooting and problem-solving abilities across infrastructure, networking, security, databases, and cloud services.

• Familiarity with AWS data services including Glue, Athena, Redshift, and Databricks.

• Understanding of DataOps practices such as pipeline orchestration, environment promotion, job scheduling, and failure recovery.

• Knowledge of PostgreSQL, Redshift, and Athena from an infrastructure standpoint.

• Familiarity with Jira, Confluence, and ServiceNow.

• Experience with CloudWatch, Grafana, Prometheus, Datadog, Splunk, or other equivalent monitoring tools.

• Exposure to AWS Cost Explorer, Budgets, tagging strategies, and chargeback mechanisms.

• Experience supporting Generative AI, LLM, RAG, MCP, Bedrock, Claude, AI Gateway, or similar AI platform workloads is a plus.

• Experience with self-healing operational workflows and automation frameworks is also beneficial.

• Experience supporting validated, regulated, or GxP-compliant environments is an asset.

• AWS or Kubernetes certifications are desirable.

• Strong analytical thinking, problem-solving, and debugging skills.

• Excellent communication and presentation capabilities.

• Proactive approach toward operational improvements and automation.

• Strong sense of ownership and the ability to work independently.

• Willingness to learn new technologies and adapt to changing requirements.

• Ability to prioritize multiple tasks and manage incidents in a fast-paced environment.

🏝️ Benefits

• Equal employment opportunity without regard to protected characteristics.

• Reasonable accommodations available for qualified individuals with disabilities.