Associate Platform Engineer
MassMutual India (company site, opens in a new tab)3–5 yrsHyderabadHybridDirect career pageEst. 12–25 LPA
Posted on 10 Sept
Reach people at MassMutual India
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at MassMutual India you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own and deliver complex, multi-month cloud infrastructure or platform initiatives from design to production with accountability for managing ambiguity and risk.
- Standardize platform tooling and deployment patterns across engineering teams using IaC and GitOps practices such as Terraform, Pulumi, and ArgoCD.
- Support AI/ML infrastructure needs including model serving, inference pipelines, GPU resource management, and LLM integration patterns within enterprise cloud environments.
Minimum Requirements
- 3 to 5 years total experience in platform, infrastructure, or Site Reliability Engineering (SRE), with at least 2 years focused on cloud infrastructure or developer platforms.
- Practical experience with cloud-native architectures, including Kubernetes at scale, managed cloud services, networking, identity federation, and multi-tenancy on AWS, GCP, or Azure.
- Proficiency with Infrastructure as Code (IaC) tools such as Terraform or Pulumi, and GitOps tools (e.g., ArgoCD).
- Experience in enterprise environments familiar with compliance frameworks like SOC 2, ISO 27001, or GDPR.
Ideal Candidate Profile
- Experienced platform engineer capable of end-to-end ownership of cloud infrastructure initiatives involving multiple teams and stakeholders.
- Technically credible contributor who can drive design discussions, document architectural decisions, and communicate effectively with both technical and non-technical audiences.
- Familiar with AI/ML infrastructure demands within cloud environments integrating GPU management and LLM technologies.