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 Enterprise Archive
Enterprise Archive is a cloud-based platform that stores and handles (archive/ search/discovery) over peta bytes of data. It uses cutting cloud scale (like Elastic Search, Mongo DB, Storm, Kafka, Hazelcast) to solve very complex storage problems at scale.
Roles and Responsibilities
- Technically hands-on (Analysis, Design & Implementation) working on deliverables as required.
- Complete ownership of features assigned to work on in the product.
- Debate and elaborate functional and non-functional requirements with Product Management.
- Work on a solution approach and design with team, get it reviewed by stake holders before implementation.
- Generate artefacts such as functional spec and detailed design for the features owned/assigned.
- Implement complex features with high quality & following TDD process
- Communicate risks and progress in a timely manner to reporting supervisor.
- Mentor team members.
- Support the features delivered by debugging and creating RCA for production issues and subsequently work towards short term and long-term fix.
Desired skills & experience
- Professional degree in Computer Science from a reputed college with consistent academic record.
- Excellent in Problem Solving/Data-Structures & Algorithms
- Good exposure to Distributed Computing/Microservices Architecture
- Should possess 4-8 years of development experience, primarily in building products large enterprises.
- Should have experience in Spring boot/ Kafka
- Should have experience in Elastic Search.
- Should possess excellent communication skills
- Must be expert level Java programmer; exposure to Python is a plus
- Working experience in one or more cloud based technologies(viz., Elastic Search, MongoDB,) is highly desirable
- Hands on experience in building concurrent and/or parallelized, highly performant scalable applications.
- Proven ability to root cause complex issues in scalable deployments
- Working experience on TDD/BDD is an added advantage.
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.
