Smarsh
From Smarsh's careers page
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You will join the Datastore Team, a core component of the Smarsh Fabric platform that underpins our enterprise applications.
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.
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 organisation, ensuring long-term scalability, reliability,and innovation. This role focuses on designing, building, and operating large-scale distributed data platforms supporting petabyte-scale environments across hundreds of clusters. You will own complex technical initiatives end-to-end and play a key role in ensuring our data infrastructure remains reliable, scalable, secure, and highly automated.
Own major platform components and deliver complex initiatives from design through to production.
Implement and enhance architectural patterns and platform standards for reliability, scalability, and performance.
Troubleshoot and resolve complex distributed systems issues across multi-cluster environments.
Build and maintain Infrastructure as Code and CI/CD pipelines to ensure repeatable, scalable deployments.
Contribute to observability, reliability, and operational excellence across the data platform estate.
Collaborate with engineering teams and Product Management to align platform capabilities with product needs.
Mentor junior engineers and contribute to knowledge sharing within the team.
5+ years of experience in platform engineering, SRE, or infrastructure-focused roles.
Strong experience operating at least one of MongoDB, Kafka, or ElasticSearch in production environments, including day-2 operations.
Solid experience designing and operating Kubernetes environments and ecosystem tooling (e.g. Helm, ArgoCD) is a significant plus.
Proficiency in at least one programming language (Python, Java, or similar).
Experience with Infrastructure as Code tools such as Terraform.
Hands-on experience working with major cloud platforms (AWS preferred).
Experience implementing, maintaining and evolving observability solutions (e.g.Prometheus/Grafana or ELK).
Good understanding of security principles and experience embedding security best practices into production environments and code promotion systems.
Excellent collaboration and communication skills.
Exposure to regulated environments.
Interest in advancing platform engineering practices such as self-service infrastructure.
We're especially interested in candidates that may have transitioned from Software
Engineering into Platform Engineering.
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