Software Engineer
Mimecast
- Dive into the forefront of innovation with our Data Platform engineering team, where we process massive volumes of data to delight our customers with insights they love and fuel ML models with trusted data! Our pioneering Data Platform pushes on the boundaries of what’s possible, leveraging making AI-native and agentic ways with AWS
- As a Software Engineer in the Data Platform team, you will play a pivotal role in developing, and maintaining scalable systems. Your responsibilities will include:
- Implement scalable and reliable microservices on AWS infrastructure
- Mentor and guide junior engineers, fostering a culture of collaboration, continuous learning, and professional growth
- Create and maintain comprehensive technical documentation for architectures, processes, and procedures
- Provide support during critical incidents and implement preventive measures
- Monitor and analyze AWS usage, providing recommendations for cost savings without compromising system performance and reliability
- Mimecast is an AI-First engineering organization. Our teams actively leverage AI-powered development tools to accelerate innovation, improve code quality, and solve complex cybersecurity challenges at scale. We’re looking for engineering leaders who embrace these technologies or are eager to master them quickly
- You’re not just executing tasks—you’re shaping the data backbone that powers Mimecast’s cybersecurity products, while steadily growing into a system owner and technical decision-maker
- Own critical components end-to-end – from design to production, not just implementation
- Improve system scalability and cost efficiency, directly impacting business margins
- Enable faster AI/ML and analytics use cases by delivering clean, reliable data
- Identify gaps and drive platform improvements or new capabilities
- Gradually influence architecture decisions and engineering standards
- Experience with Java development to build services and libraries with Java 21 and above
- Hands-on experience with foundational AWS services, such as; ALB, ECS, S3, ElastiCache, IAM, CloudWatch
- Experience in developing and supporting backend systems for data processing within AWS
- Knowledge of implementing and maintaining Kafka-based event-driven services
- Knowledge of Jenkins and developing CI/CD pipelines
- Demonstratable ability to work effectively in a collaborative team environment, mentoring junior team members and contributing to a positive team culture
- Experience with Infrastructure as Code (IaC) tools, such as Terraform or AWS CloudFormation
- Proficiency in either relational or NoSQL databases, with an understanding of database design, optimization, and management
- Champion AI-powered development tools (Cursor, Claude) across the full engineering lifecycle with an AI-First engineering mindset
Reference: WJ-766_22034708