13 hours ago
Bengaluru, IndiaSenior
Responsibilities
- Develop and maintain robust, high-performance Java-based APIs.
- Design and implement cloud-native backend services using AWS serverless and containerized platforms.
- Architect and evolve distributed, event-driven systems for high-throughput processing, resilience, and scalability.
- Lead technical design discussions and code reviews.
- Troubleshoot production systems and uphold engineering excellence.
- Define and improve CI/CD pipelines, observability, and deployment strategies for reliable cloud delivery.
Requirements
- At least 9 years of hands-on backend engineering experience.
- Expert proficiency with Java 21 or later, modern Java frameworks and libraries, data structures, algorithms, and system design.
- Strong experience with AWS services including EKS, ECS, Lambda, EC2, S3, DynamoDB, SQS, SNS, and API Gateway.
- Experience designing, building, and operating distributed systems and RESTful APIs at scale.
- Experience with relational databases and SQL query optimization.
- Working experience with Git and familiarity with Jenkins pipelines.
- Experience with observability tools such as Grafana, Prometheus, ELK, or OpenTelemetry.
- Proactive problem-solving skills and interest in understanding complex backend systems.
- Proficiency with AI-assisted development tools such as Cursor.
Benefits
- Attractive compensation package including base salary and performance bonus eligibility.
- Formal and on-the-job learning opportunities.
- Comprehensive benefits package.
- Hybrid work model requiring employees to work from the office at least two days per week.
- Inclusive, diverse workplace and equal opportunity employment.
- Employment is subject to successful completion of applicable background checks.
About Mimecast
42,000 organizations. 175+ countries. 27 million people. For over 20 years, Mimecast protected the channel where work was most concentrated. The channel has changed. Today we're a unified platform that secures humans, data, and AI — because the attack surface is no longer a network. It is the workforce itself, now joined by AI agents that act with human permission and move at machine pace. Every employee. Every agent. Every file they touch. All of it protected so the work people do, and the work they do with AI, stays whole. Work Protected.