Sr. Platform Engineer II-Datastore

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.

Core Responsibilities

• Design, build, and operate highly available, scalable clusters supporting core data technologies including MongoDB, ElasticSearch, and Apache Kafka.
• 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.
• Participate in on-call rotations to support platform reliability and continuous improvement.

Skills & Experience

We’re looking for an experienced Platform Engineer with strong expertise in cloud-native and DevOps practices. The ideal candidate will have:

• 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.
• Strong problem-solving ability and attention to detail

Desirable Experience:

• Experience contributing to internal platform APIs or automation tooling.
• 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.