Software Engineer, Cloud Engineer - Software, AWS
Job in
London, Greater London, W1B, England, UK
Listed on 2026-09-08
Listing for:
Mimecast
Full Time
position Listed on 2026-09-08
Job specializations:
-
Software Development
Cloud Engineer - Software, AWS, AI Engineer (Applied/Software), Software Engineer
Job Description & How to Apply Below
Software Engineer – Data Platform Team The driving force behind Big Data at Mimecast Overview 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.“If
you’re interested in solving customer data challenges at immense scale, the Data Platform team is for you. Our AWS services process billions of events from millions of users each day. With efficient storage and querying capabilities, we’re able to serve requests in milliseconds when querying over huge volumes of data!” – Hiring Manager
What You’ll Do:
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.
What You’ll Bring :
Demonstratable 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 21 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, Elasti Cache, IAM, Cloud Watch.
Knowledge of implementing and maintaining Kafka-based event-driven services.
Proficiency in either relational or No
SQL 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 Cloud Formation.
Knowledge of Jenkins and developing CI/CD pipelines.
AI-First Engineering at Mimecast 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 're looking for engineering leaders who embrace these technologies or are eager to master them quickly.
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.
What We Bring Join our Data Platform team to accelerate your career journey, working with cutting-edge technologies and contributing to projects that have real customer impact. You will be immersed in a dynamic environment that recognizes and celebrates your achievements.
Mimecast offers formal and on the job learning opportunities, maintains a comprehensive benefits package that helps our employees and their family members to sustain a healthy lifestyle, and importantly - working in cross functional teams to build your knowledge!
Our Hybrid Model:
We provide you with the flexibility to live balanced, healthy lives through our hybrid working model that champions both collaborative teamwork and individual flexibility. Employees are expected to come to the office at least two days per week, because working together in person:
Fosters a culture of collaboration, communication, performance and learning
Drives innovation and creativity within and between teams
Introduces employees to priorities outside of their immediate realm
Ensures important interpersonal relationships and connections with one another and our…
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