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Senior Associate Platform Engineer
Massmutual
Hyderabad, IND
Full-time
Senior · 5+ years experience
Hybrid
Discovered 3 weeks ago
KubernetesAWSGCPAzureTerraformPulumi
Free
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KubernetesAWSGCP
Role Overview
• 5 to 8 years in platform, infrastructure, or SRE — with at least 3 years focused on cloud infrastructure or developer platforms.
• Expertise in cloud-native architecture: Kubernetes at scale, managed cloud services, networking, identity federation, and multi-tenancy patterns across AWS, GCP, or Azure.
• Proven ownership of complex, multi-month platform initiatives — you’ve part of them from whiteboard to production, managing ambiguity and technical risk throughout.
• Proficient in IaC and GitOps fluency — Terraform or Pulumi, ArgoCD — with experience standardising platform tooling and deployment patterns across engineering teams.
• Hands-on experience with AI/ML infrastructure: model serving, inference pipelines, GPU resource management, or LLM integration patterns.
• Experience in enterprise environments with familiarity with compliance frameworks such as SOC 2, ISO 27001, or GDPR.
• Strong written communication — you write clear design docs, maintain useful ADRs, and can explain architectural decisions to both engineers and non-technical stakeholders.
Key Skills for This Role
KubernetesAWSGCPAzureTerraformPulumi
Full Job Posting
Job Description
5 to 8 years in platform, infrastructure, or SRE — with at least 3 years focused on cloud infrastructure or developer platforms.
Expertise in cloud-native architecture: Kubernetes at scale, managed cloud services, networking, identity federation, and multi-tenancy patterns across AWS, GCP, or Azure.
Proven ownership of complex, multi-month platform initiatives — you’ve part of them from whiteboard to production, managing ambiguity and technical risk throughout.
Proficient in IaC and GitOps fluency — Terraform or Pulumi, ArgoCD — with experience standardising platform tooling and deployment patterns across engineering teams.
Hands-on experience with AI/ML infrastructure: model serving, inference pipelines, GPU resource management, or LLM integration patterns.
Experience in enterprise environments with familiarity with compliance frameworks such as SOC 2, ISO 27001, or GDPR.
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