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About the Role
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.
Responsibilities
- 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.
- 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.
Requirements
- Demonstrable ability to work effectively in a collaborative team environment, mentoring junior team members and contributing to a positive team culture.
- Experience with Java development to build services and libraries with Java 11 and above.
- Experience in developing and supporting backend systems for data processing within AWS.
- Hands-on experience with foundational AWS services, such as; ALB, ECS, S3, ElastiCache, IAM, CloudWatch.
- Knowledge of implementing and maintaining Kafka-based event-driven services.
- 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.
- Experience with Infrastructure as Code (IaC) tools, such as Terraform or AWS CloudFormation.
- Knowledge of Jenkins and developing CI/CD pipelines.
- Must successfully complete applicable background checks.
Skills
- Java 11+
- AWS
- Kafka
- Relational databases
- NoSQL databases
- Database design
- Database optimization
- Database management
- AI-powered development tools
- Infrastructure as Code (IaC)
- Terraform
- AWS CloudFormation
- Jenkins
- CI/CD pipelines
Location
- Massachusetts
Work Type
- Hybrid
Experience Level
- Senior
Salary/Compensations
- £48,000−£72,000
Benefits
- Formal and on the job learning opportunities
- Comprehensive benefits package
- Incentive plans
About the Company
- 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.
- Our AI leadership extends beyond how we build to what we build. Our Mihra AI agent delivers 7x faster threat response for customers, and we're recognized as "Agents of Change" in Human Risk Management.
- Engineers here work at the intersection of cutting-edge AI tooling and AI-powered security products that protect organizations worldwide.
Equal Opportunity
- We are committed to building an inclusive, diverse community that celebrates and welcomes everyone.
- We are proud to be an Equal Opportunity and Affirmative Action Employer, and we’d encourage you to join us whatever your background.
- We particularly welcome applicants from traditionally underrepresented groups.
- We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won’t affect your application.