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Platform Engineer III

smarsh·India - Bengaluru
full timeIndia - Bengaluru

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AT A GLANCE

Divisions5+ years experienceFull Time

Required

  • 5+ years experience
  • People Leadership
Preferred qualifications are helpful, not automatic disqualifiers.
Apply on Company Site

Who are we? Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+

About the role

Who are we? Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines.  Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008. About the Role We're seeking an experienced Platform Engineer to own and evolve our AWS infrastructure. You'll design, build, and maintain the systems that enable our engineering teams to ship reliably. This is a hands-on role where you'll work across Kubernetes orchestration, infrastructure-as-code practices, cloud networking, and identity management. You'll balance strategic infrastructure improvements with operational excellence. What we're looking for You're someone who understands that infrastructure is a product for your internal users. You think holistically about reliability, security, and developer experience. You communicate technical concepts clearly to both engineers and leadership. You're comfortable making trade-offs between perfection and pragmatism, and you own the systems you build. You're curious about how things work under the hood and stay current with infrastructure trends.

Responsibilities

  • Design, deploy, and manage Kubernetes clusters on AWS EKS with a focus on reliability, security, and cost efficiency
  • Develop infrastructure-as-code using Terraform, CloudFormation, or similar tools; maintain version control and CI/CD integration for all infrastructure changes
  • Architect and implement AWS networking solutions including VPCs, security groups, load balancing, and service mesh technologies
  • Design and implement identity and access management (IAM) strategies, including RBAC, service accounts, and cross-account access patterns
  • Establish observability and monitoring across infrastructure, troubleshoot production issues, and drive continuous improvement
  • Partner with development teams to enable self-service capabilities and reduce operational friction
  • Document architectural decisions and maintain runbooks for critical infrastructure

Requirements

  • 5+ years of experience with infrastructure engineering or equivalent platform engineering experience
  • Strong hands-on experience with Kubernetes (production deployments, resource management, troubleshooting)
  • Demonstrated expertise in infrastructure-as-code (Terraform, CloudFormation, or similar)
  • Solid understanding of AWS services, particularly EC2, ECS/EKS, RDS, S3, VPC, and related networking components
  • Deep knowledge of IAM principles and hands-on experience implementing least-privilege access controls
  • Experience with networking fundamentals (TCP/IP, DNS, TLS, load balancing, service mesh concepts)
  • Proficiency in at least one programming/scripting language (Go, Python, Bash, or similar)
  • Experience managing containers and container orchestration in production environments
  • Strong problem-solving skills and demonstrated ability to handle on-call escalations
  • Experience with service mesh technologies (Istio, Linkerd)
  • Familiarity with GitOps workflows and tools (ArgoCD, Flux)
  • Experience with observability and monitoring tools (Prometheus, Grafana, DataDog, New Relic)
  • Knowledge of security best practices for Kubernetes and AWS (pod security policies, network policies, SIEM integration)
  • Demonstrated comfort using Claude.ai or similar AI tools to enhance productivity and accelerate problem-solving
  • Experience with cost optimization and capacity planning in AWS
  • Involvement in on-call rotations and incident response experience
  • AWS services: EKS, EC2, RDS, S3, VPC, IAM, ALB/NLB, Route 53, CloudWatch
  • Infrastructure tools: Terraform, Kubernetes, Docker, Helm
  • Observability: CloudWatch, or similar monitoring/logging platforms
  • Collaboration tools: Git, CI/CD platforms, issue tracking systems
  • AI-assisted development: Claude.ai for code generation, documentation, and troubleshooting
PostedNot listed
Statusactive
CommuteDistance only

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