Smarsh is the leader in communications compliance, archiving, and analytics. We provide compliance across the broadest set of communications channels with insights on what's being captured. The Smarsh advantage is customers stay ahead of compliance and uncover patterns and relationships hidden within their data.
The team enables self-service, next-generation data capabilities across the engineering organisation, ensuring long-term scalability, reliability, and innovation.
This role serves as a technical authority for large-scale distributed data platforms. You will shape architectural direction, help define operating standards, and solve complex distributed systems challenges across petabyte-scale environments running hundreds of clusters. Working across engineering domains, you will influence how data infrastructure is designed, built, and operated company-wide.

Define and evolve the architectural vision and operating standards for large-scale distributed data platforms.
Lead the design and evolution of highly available, scalable clusters supporting core data technologies including MongoDB, ElasticSearch, and Apache Kafka.
Solve complex, ambiguous distributed systems problems, balancing trade-offs across scalability, resilience, performance, security, and cost.
Influence engineering teams to adopt platform standards, automation practices, and self-service capabilities.
Establish reliability targets, operational models, and observability standards for stateful workloads on multi-cluster Kubernetes environments.
Contribute as a senior escalation point within the on-call rotation .
Skills & Experience

- We're looking for an experienced Principal Platform Engineer with solid expertise in cloud-native and DevOps practices. 8+ years of experience in platform engineering, SRE, or distributed systems-focused roles.




- Demonstrated subject matter expertise in operating at least one of MongoDB, Kafka, or ElasticSearch at high scale, including deep day-2 operational knowledge.
- Significant experience designing and operating large-scale, Kubernetes environments and associated ecosystem tooling (e.g. Experience managing stateful workloads on Kubernetes is a significant plus.
- Proven experience defining architectural standards and influencing technical direction across teams.
- Strong programming skills (Python, Java, or similar), with experience building internal platform APIs and automation tooling a significant plus.
- Extensive experience with Infrastructure as Code (e.g. Terraform) and cloud-native deployment models.
- Hands-on experience operating enterprise-scale workloads in AWS.
- Experience designing and evolving observability platforms (e.g. Strong understanding of security principles and experience embedding security best practices into production environments and code promotion systems.
- Excellent communication skills with the ability to influence diverse technical and non-technical stakeholders.

Desirable Experience:
Experience defining platform engineering operating models and driving cultural adoption of self-service infrastructure.
Experience operating in highly regulated industries.
Exposure to integrating AI-driven automation or tooling into platform operations.
Experience leading complex cross-functional initiatives or technical transformation programmes.

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.

📌 Platform Engineers - DevOps (Bengaluru)
🏢 Smarsh
📍 Bengaluru