Platform Engineer / SRE (Site Reliability Engineer) Cloud & AI Automation

Design, implement, and manage cloud-native platforms on AWS using Terraform, CloudFormation, and IaC best practices.

• Lead infrastructure automation initiatives to enable zero-touch provisioning, self-service environments, and CI/CD pipeline integration.

• Architect and operate highly available, scalable, and secure systems using Kubernetes (EKS/ECS), Docker, and microservices.

• Implement and maintain robust observability stacks using Grafana, Datadog, Prometheus, ELK, and OpenTelemetry for real-time monitoring, alerting, and performance tuning.

• Own incident management lifecycle: lead on-call rotations, conduct RCA (Root Cause Analysis), and implement preventive measures to improve system reliability.

• Drive cloud cost optimization strategies across multi-cloud environments (AWS, Azure, Google Cloud Platform) through right-sizing, auto-scaling, tagging policies, and usage analytics.

• Enforce security compliance standards including PCI, PII, HIPAA, GDPR, ISO 27001/27701, and SOC 2, ensuring IAM policies, encryption, and audit readiness.

• Integrate Okta, AWS IAM, and identity federation for secure access control and role-based access management.

• Spearhead AI automation and agentic AI use cases for infrastructure operations automating deployments, incident response, policy enforcement, and resource provisioning.

• Collaborate with DevOps, SRE, Security, and Product teams to deliver platform capabilities that accelerate time-to-market and improve developer experience.

• Mentor junior engineers and contribute to engineering best practices, documentation, and knowledge sharing.

We are seeking a highly skilled and proactive Senior Platform Engineer / SRE to lead the design, automation, and operational excellence of cloud platforms and AI-driven systems.

The ideal candidate will be a seasoned engineer with hands-on experience in AWS, Terraform, Kubernetes, CI/CD, Infrastructure as Code (IaC), and Observability, who thrives in fast-paced, high-impact environments.

You will play a pivotal role in building and maintaining scalable, secure, and self-healing platforms that support enterprise-grade applications and AI-powered workflows., Bachelor s or Master s degree in Computer Science, Engineering, or related field.

6+ years of hands-on experience in DevOps, SRE, or Platform Engineering roles.

Expertise in AWS cloud services (EC2, S3, Lambda, RDS, VPC, IAM, CloudFront, etc.) and Terraform/CloudFormation for infrastructure provisioning.

• Proven experience with Kubernetes (EKS, AKS, GKE), Docker, and container orchestration.

• Strong proficiency in CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or similar tools.

• Deep understanding of observability tools: Grafana, Datadog, Prometheus, Kibana, and logging frameworks.

• Experience with incident management, RCA, and post-mortem processes in production environments.

• Solid knowledge of security compliance frameworks: PCI-DSS, HIPAA, GDPR, CCPA, ISO 27001/27701.

• Experience integrating identity providers (Okta, AWS IAM) and managing RBAC across cloud environments.

• Hands-on experience with Python for automation, scripting, and tooling.

• Familiarity with Agentic AI, AI automation, and intelligent operations (AIOps) for infrastructure and platform management.

• Strong communication, collaboration, and leadership skills.

Preferred Qualifications:

• Experience with multi-cloud environments (AWS, Azure, Google Cloud Platform).

• Knowledge of serverless architectures (AWS Lambda, Azure Functions).

• Experience with data platforms (Snowflake, Redshift, BigQuery) and ETL pipelines (Airflow, Glue).

• Exposure to AI/ML platforms and GenAI integration in DevOps workflows.