Backend distributed systems Engineer-SMTS/MTS

Responsibilities

• Build new and exciting components in an ever-growing and evolving market technology to provide scale and efficiency.
• Develop high-quality, production-ready code that millions of users of our cloud platform can use.
• Design, implement, and tune robust APIs and API framework-related features that perform and scale in a multi-tenant environment.
• Work in a Hybrid Engineering model and contribute to all phases of SDLC including design, implementation, code reviews, automation, and testing of the features.
• Build efficient components/algorithms on a microservice multi-tenant SaaS cloud environment
• Code review, mentoring junior engineers, and providing technical guidance to the team (depending on the seniority level)

Industry Experience : 2-8 years including

• Experience in designing, implementing and operating large scale distributed systems in public cloud environments (AWS, GCP or Azure)
• Experience with Containers and orchestration technologies (e.g. Docker, Kubernetes)
• Familiarity with DevOps practices, CI/CD tools, Configuration management and Infrastructure as a code (IaC)

• Programming : Proficiency in object-oriented and multi-threaded programming in Java and/or Python
• Software Design : Demonstrable understanding of design patterns, distributed systems, data structures and algorithms
• Operating System : Development and software management on Linux (e.g., CentOS, RHEL) and Windows
• Agile : Experience with Agile development methodology
• Communication : Excellent oral and written communication skills
• Team : Work as a team player and value team success beyond personal contributions
• Strong debugging and troubleshooting skills
• Education : Bachelor or Master s degree in Computer Sciences or equivalent field

• Security : Strong fundamentals knowledge in security concepts: authentication/authorization frameworks (e.g., SSO, SAML, Oauth), secure transport (e.g., SSL, TLS), identity management (e.g., certificates, PKI)
• Platform development : Proven track of designing and coding large-scale PaaS or IaaS systems.
• Big Data : Proficiency and experience with relational and NoSQL databases, message queues (Kafka, SNS/SQS, etc), Splunk and other components in data pipelines
• Previous experience in MLOps