Senior Solutions Architect — Governance, Compliance, & Insights
AI agents are creating new insider risk and compliance obligations every day. Data is sprawling faster than the controls around it. This is an architecture role reporting directly to an Enterprise Architect (EA). Discovery, shaping, and contract design now drive more of the value than detailed component design. If you want to shape what gets built and own the structural decisions that make a product line move fast with quality, it is.
AI-First Architecture at Mimecast
We expect this role to use AI development tools daily — for design exploration, prototyping, documentation, code review, and analysis. This product line is actively building agent-aware detections and AI-driven enrichment, and contributing to Mimecast's broader AI-powered risk products. Comfort designing with — and for — LLMs, agents, and modern AI architectures is core to this job, not a side interest.
We treat architecture artifacts — ADRs, AGENTS.md files (agent-readable repo context), and data contracts — as machine-readable context, not documentation. They're the substrate that humans and agents both operate inside, and they capture the reasoning behind design decisions — the why, not just the what.
This is a leadership role shaping the future of Mimecast's Governance, Compliance & Insight (GCI) suite. GCI helps organizations manage data governance, retention, and compliance at scale. Our products include email & collaboration archiving, eDiscovery, compliance management, data retention, audit capabilities, and analytics, alongside our new AI-powered governance and compliance tools.
You will be the connective tissue across product management, user experience, and engineering to translate real customer problems into effective, efficient solutions. You will help the team unlock value across Mimecast's entire portfolio to help customers navigate the human and agentic risks they face every day.
Run and facilitate workshops with product managers, engineers, UX designers, and subject matter experts to surface user needs, constraints, and opportunities.



Help define how the product line touches the rest of the Mimecast platform. You'll own the durable interfaces — APIs, events, and data contracts. ADRs, data contracts, and service interaction patterns. These are how architecture decisions get propagated and enforced at scale across humans and agents — they're part of the build system, not the wiki.
Performance, availability, security, cost — help define the targets with real numbers. For AI features, extend that to eval coverage, agent boundary safety, and prompt/data-contract stability.
Engage Enterprise Architecture bidirectionally: Estimate and monitor cost and unit economics: Provide cost projections for recent architecture work; Reason about cost per outcome — per protected user, per investigated incident, per inference — not just AWS spend.
With agentic engineering practices in place, more of the detailed implementation work is carried by engineers with AI assistance.
Architecture experience at scale: 8+ years building and operating production systems, and engaging with product early in the cycle. Time as a Solutions Architect, Principal Engineer, Tech Lead, Product Architect, Staff Engineer, or equivalent. Comfortable owning architecture across multiple teams.
Cloud-native depth: Strong working knowledge of AWS (ECS/EKS, S3, DynamoDB, SQS/SNS, IAM, VPC), Kafka, and the ability to reason about distributed systems at high volume. You don't need deeper AWS internals knowledge than the senior engineers — you need to reason about system shape and trade-offs.
Contract-first integration thinking: A track record of designing clean contracts between systems and teams — async messaging, event streaming, REST/gRPC APIs,



data contracts — and a clear point of view on when to reach for which.
You actively use AI development tools day-to-day and have a real opinion on where they help and where they don't. Can write a one-page ADR that lands, draft a solution brief that holds up under EA review, and lead a whiteboard session that produces a decision. Good at building consensus across teams and organizations. Bonus points: Background in security, compliance, eDiscovery, identity, observability, or data platforms. Familiarity with agentic AI, MCP (Model Context Protocol), or LLM application architecture. Experience with eval design for AI systems, product discovery practices, or data contract / data mesh approaches (e.g., Impact: Your architecture decisions will shape one of Mimecast's fastest-evolving product lines and protect data inside thousands of enterprises.
Voice: Direct working relationship with senior architecture leadership and a real say in technology direction across the product line — and beyond, as opportunities present themselves.
AWS managed services, Kafka, modern Java and Kotlin services, a growing AI tooling footprint, and a team that defaults to ship-and-iterate over review-and-gate.
A small architecture team where everyone is operating at a high level and trust runs deep.
Bachelor's degree in Computer Science or related field, or equivalent experience.

- 8+ years of professional software engineering and architecture experience, with at least 2 years in a Solutions Architect, Principal Engineer, Tech Lead, Product Architect, Staff Engineer, or similar role with significant product-shaping responsibility.
- Cybersecurity is a community effort. That's why we're committed to building an inclusive, diverse community that celebrates and welcomes everyone – unless they're a cybercriminal, of course.

Due to certain obligations to our customers, an offer of employment will be subject to your successful completion of applicable background checks, conducted in accordance with local law.

📌 Senior Architect (Java) (Bengaluru)
🏢 Mimecast
📍 Bengaluru