Senior Platform and Security Engineer

• Own the architecture of backend and frontend applications and guide them toward maturity
• Write production code in services with a focus on security, reliability, and architectural soundness
• Partner with InfoSec to implement security controls and reduce attack surface
• Mature database practices, including data modeling, schema design, roles, and permissions
• Establish and enforce access-control and permission-management best practices
• Define infrastructure and implementation targets for the R&D DevOps team and verify delivery
• Serve as the source of truth for infrastructure and security decisions across Automation Ops
• Mentor engineers on architecture, secure coding, and database design
• Review infrastructure- and security-relevant code changes
• Identify recurring failure root causes and implement lasting fixes
• Document infrastructure standards, operating procedures, and architectural decisions
• Support migration of services to AWS by setting target architecture and validating results
• Participate in the on-call rotation for infrastructure and security alerts only

• Candidates must be based in India
• 5+ years of professional experience across software engineering, platform engineering, or infrastructure roles
• Meaningful hands-on application-code experience using Python
• Deep working knowledge of AWS and cloud architecture, including ECS, RDS, SQS, IAM, API Gateway, and Lambda
• Experience designing and reviewing CI/CD pipelines, automated testing, staged rollouts, and rollback practices
• Experience building and running Docker containerized applications in ECS, EKS, or Kubernetes
• Strong backend engineering skills and ability to make security decisions at code level
• Experience maturing PostgreSQL practices, including data modeling, roles, permissions, performance, and recovery
• Practical experience designing and enforcing access control and identity management
• Experience partnering with security teams to reduce production attack surface
• Experience with Terraform or another Infrastructure as Code tool
• Strong troubleshooting and root-cause analysis skills
• Hands-on AI infrastructure experience, professionally or through personal projects
• Experience deploying open-source models for local or self-hosted inference
• Experience operating cloud inference environments
• Familiarity with model-serving platforms and inference runtimes
• Experience designing or deploying production AI agent systems
• Experience implementing tracing, evaluation, and observability for AI agents
• Familiarity with LangSmith, Langfuse, Arize Phoenix, or OpenTelemetry
• Familiarity with SOC 2, GDPR, or similar compliance requirements
• Experience with frontend applications using React and TypeScript
• Ability to sit for long periods of time
• Must be willing to work 5:30 PM–2:30 AM IST

• Remote work arrangement
• Global team environment
• Equal opportunity and inclusive workplace commitment