Security Risk Manager in Bengaluru

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. About the Role As a Site Reliability Engineer at Ema, you will own the stability, availability, and operational health of our agentic AI platform across customer environments. You'll work closely with Engineering and DevOps to provision infrastructure, drive deployment excellence, and keep production running at the quality bar our enterprise customers expect — 99.9%+ uptime, proactive incident response, and continuous improvement. What You'll Do Infrastructure & Deployment Design and provision cloud infrastructure (GCP, Azure, AWS) tailored to customer environments, with security, scalability, and compliance built in Execute on-call SaaS deployments with minimal downtime; automate and optimize deployment workflows end-to-end Production Stability & Observability Monitor logs, alerts, and metrics to maintain SLA commitments and catch issues before they escalate Diagnose and resolve production incidents with speed and rigor; drive root cause analysis and permanent fixes Collaborate with DevOps to enhance monitoring dashboards and alerting frameworks; deliver clear system health reporting to internal and customer stakeholders Documentation & Knowledge Management Maintain de

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who you are You are an experienced Infrastructure Engineer Engineer who owns backend infrastructure end to end. You design multi-tenant, microservices-based systems that other engineering teams build on, and you make deliberate architectural tradeoffs around consistency, latency, scale, and cost. You are comfortable going deep — service mesh internals, database internals, distributed-systems failure modes — and equally comfortable defining the reliability and security contracts an enterprise AI platform depends on. Responsibilities Design, own, and evolve scalable microservices architectures on Kubernetes across GCP, Azure, and AWS, including multi-tenant isolation (namespaces, network policies, per-tenant resource quotas and RBAC). Build core platform and data-plane components in Golang and Python — data ingestion, knowledge-base indexing and vector/graph search, application connectivity, workflow automation, and ML operations — against explicit latency and throughput SLOs. Own service-to-service communication: gRPC/protobuf API contracts, service mesh (Istio/Linkerd), load balancing, retries, timeouts, and circuit breaking. Make and document architectural tradeoffs — partitioning

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are looking for world-class Solution Engineers to join our Global field teams whose technical skills and customer savvy will help customers understand and utilise the value of the cutting-edge data platform that we are building. They must share our passion about reinventing the data platform and thrive in a dynamic environment. The Solution Engineer will work hand-in-hand with Sales, Product, Engineering, and Marketing. In this role you will work directly with the account sales team on a handful of global accounts with GCCs in India to accelerate their Snowflake journey. The Solution Engineer will be responsible for providing the technical expertise to make Snowflake customers successful in driving existing projects and uncover new use cases. This data architect will have a broad range of skills and experience ranging from data architecture to ETL/ELT, data science, security, performance analysis, analytics, etc. He/she will have the insight to make the connection between a customer’s specific business problems and Snowflake’s solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide con

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are looking for world-class Solution Architects to join our Global field teams whose technical skills and customer savvy will help customers understand and utilize the value of the cutting-edge data platform that we are building. They must share our passion about reinventing the data platform and thrive in a dynamic environment. The Solution Architect will work hand-in-hand with Sales, Product, Engineering, and Marketing. In this role you will work directly with the account sales team on a handful of global accounts with GCCs in India to accelerate their Snowflake journey. The Solution Architect will be responsible for providing the technical expertise to make Snowflake customers successful in driving existing projects and uncover new use cases. This data architect will have a broad range of skills and experience ranging from data architecture to ETL/ELT, data science, security, performance analysis, analytics, etc. He/she will have the insight to make the connection between a customer’s specific business problems and Snowflake’s solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide