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. 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. 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. 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.

Sr. Platform Engineer II-Datastore

Visa sponsorship

similar openings