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.
• This role sits at the intersection of platform engineering, reliability, security, and AI automation, where you’ll drive innovation through agentic AI, infrastructure automation, and cloud cost optimization., * 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., * 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.
• Certification in AWS, Google Cloud, or Kubernetes (e.g., AWS Certified DevOps Engineer, CKAD, CKA).

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