7 months ago
Bengaluru, IndiaSenior
Responsibilities
- Design, build, and operate highly available, scalable clusters for MongoDB, Elasticsearch, and Apache Kafka.
- Own major platform components and deliver complex initiatives from design through production.
- Develop architectural patterns and platform standards for reliability, scalability, and performance.
- Troubleshoot complex distributed-systems issues across multi-cluster environments.
- Build and maintain infrastructure as code and deployment automation.
- Improve observability, reliability, and operational excellence across the data platform.
- Collaborate with engineering teams and Product Management to align platform capabilities with product needs.
- Mentor junior engineers and contribute to knowledge sharing.
- Participate in on-call rotations and continuous platform improvement.
Requirements
- At least 5 years of experience in platform engineering, SRE, or infrastructure-focused roles.
- Production experience operating at least one of MongoDB, Apache Kafka, or Elasticsearch, including day-2 operations.
- Experience designing and operating Kubernetes environments; Helm and ArgoCD experience is a significant plus.
- Proficiency in Python, Java, or a similar programming language.
- Experience with infrastructure as code tools such as Terraform.
- Hands-on experience with major cloud platforms, preferably AWS.
- Experience implementing and maintaining observability solutions such as Prometheus/Grafana or ELK.
- Understanding of security principles and experience embedding security best practices into production environments and code promotion systems.
- Strong collaboration, communication, problem-solving, and attention-to-detail skills.
- Experience with internal platform APIs or automation tooling, regulated environments, or self-service infrastructure is desirable.
Tech Stack
Categories
About Smarsh
Smarsh builds cloud-native software that captures, archives, and supervises digital communications (email, chat, social, mobile, web) to meet regulatory compliance, e-discovery, and risk needs. Its SaaS platform serves heavily regulated enterprises—especially financial services and the public sector—and applies AI for surveillance and insights. The privately held company was founded in 2002 and is headquartered in Portland, Oregon.