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.
About the teamEnterprise Archive is a cloud-based platform that stores and handles (archive/ search/discovery) over peta bytes of data. It uses cutting cloud scale technologies (like Elastic Search, Mongo DB, Storm, Kafka, S3/Ceph) to solve very complex storage problems at scale. Roles and ResponsibilitiesTechnically hands-on (Analysis, Design & Implementation) working on deliverables as requiredComplete ownership of features assigned to work on in the productDebate and elaborate functional and non-functional requirements with Product ManagementWork on a solution approach and design with team, get it reviewed by stake holders before implementationGenerate artefacts such as functional spec and detailed design for the features owned/assignedImplement complex features with high quality & following TDD processCommunicate risks and progress in a timely manner to reporting supervisorMentor team membersSupport the features delivered by debugging and creating RCA for production issues and subsequently work towards short term and long-term fixDesired skills & experienceProfessional degree in Computer Science from a reputed college with consistent academic recordExcellent in Problem Solving/Data-Structures & AlgorithmsGood exposure to Distributed Computing/Microservices ArchitectureShould possess 4-6 years of development experience, primarily in building products large enterprises.Should have experience in Spring boot/ KafkaShould have experience in ElasticSearchShould possess excellent communication skillsMust be expert level Java programmer; exposure to Python is a plusWorking experience in one or more cloud based technologies(viz., Elastic Search, Storm, MongoDB, Kafka, SpringBoot) is highly desirableAbout 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.