Platform Engineer III
Key Skills for This Role
Full Job Posting
Primary 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
Required Qualifications
- 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
- What you'll work with:
- 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
- Additional information
Additional information
About our culture Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world’s leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.
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