Smarsh

Principal Platform Engineer I

Reposted 9 Days Ago

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Bangalore, Bengaluru Urban, Karnataka, IND

Hybrid

Senior level

Software

The Role

Serve as technical authority for Smarsh's Datastore platform, shaping architecture and operating standards for petabyte-scale distributed data systems. Lead design and operation of MongoDB, Elasticsearch, and Kafka clusters, large-scale Kubernetes environments, observability, security practices, and platform automation. Mentor engineers, influence cross-team adoption of standards, and act as senior on-call escalation for reliability and performance.

Summary Generated by Built In

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.

Role Overview

You will join the Datastore Team, a core component of the Smarsh Fabric platform that underpins our enterprise applications. The team enables self-service, next-generation data capabilities across the engineering organization, 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.

Skills & Experience

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. Helm, Kustomize, ArgoCD etc.). 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. Prometheus/Grafana, ELK) to support multi-cluster environments.
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

Core Responsibilities

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.
Partner with engineering and product leadership to align platform capabilities with strategic business objectives.
Establish reliability targets, operational models, and observability standards for stateful workloads on multi-cluster Kubernetes environments.
Mentor engineers, lead design reviews, and raise the technical bar across the platform organization.
Contribute as a senior escalation point within the on-call rotation.

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.

Skills Required

8+ years experience in platform engineering, SRE, or distributed systems-focused roles.
Subject matter expertise operating MongoDB, Kafka, or ElasticSearch at high scale including deep day-2 operational knowledge.
Designing and operating large-scale Kubernetes environments and associated tooling (Helm, Kustomize, ArgoCD).
Experience managing stateful workloads on Kubernetes.
Proven experience defining architectural standards and influencing technical direction across teams.
Strong programming skills in Python, Java, or similar.
Experience building internal platform APIs and automation tooling.
Extensive experience with Infrastructure as Code (Terraform) and cloud-native deployment models.
Hands-on experience operating enterprise-scale workloads in AWS.
Experience designing and evolving observability platforms (Prometheus/Grafana, ELK) for multi-cluster environments.
Strong understanding of security principles and embedding security best practices into production environments and code promotion systems.
Excellent communication skills with ability to influence technical and non-technical stakeholders.
Mentor engineers and serve as senior escalation point within on-call rotation.

Smarsh Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Smarsh and has not been reviewed or approved by Smarsh.

Leave & Time Off Breadth — Time off is characterized by unlimited PTO, generous vacation allowances, and paid holidays, with policies that support taking time away. These elements are positioned as a core strength that helps balance lower base pay in some roles.
Wellbeing & Lifestyle Benefits — Perks include wellness programs, commuter and bike reimbursement, volunteer time off, peer recognition, remote-work support, and a sabbatical option. The variety of non-salary benefits contributes to a supportive work-life environment.
Retirement Support — A 401(k) with employer match and profit sharing is offered, with immediate vesting described for the match. This strengthens the long-term financial component of total rewards.