Headline

Software Engineer @ Okta | AI & Platform Engineering | Backend | Distributed Systems | Cloud Infrastructure

About

I’m a Software Engineer at Okta building AI platforms, backend systems, and cloud infrastructure that help engineers understand, automate, and operate production systems at scale. My work sits at the intersection of AI, platform engineering, and AIOps, where I’m focused on making complex infrastructure easier to manage through intelligent automation. I’m passionate about backend engineering, distributed systems, cloud-native technologies, and applied AI. I enjoy designing reliable systems, building developer platforms, and solving engineering problems that improve productivity, operational efficiency, and system reliability. Outside of work, I’m exploring Spring Boot, Kafka, Redis, gRPC, and OpenTelemetry while building production-grade side projects and learning more about large-scale distributed systems. I’m always happy to connect with engineers who are passionate about AI, backend engineering, platform engineering, and modern infrastructure.

Location

Bengaluru

AI stack

anthropic apis

claude code

cursor

gemini

github copilot

hugging face

Work experience

Software Engineer at Okta, Jan 2025 - Present · 1 y 7 mo, Bengaluru, Karnataka, India, Experience: • Built Infra AI, an internal AI platform integrating infrastructure systems, operational knowledge, and production tooling, enabling engineers to investigate production issues through contextual infrastructure search across 22+ AWS production environments. • Developed production AI agents using Amazon AgentCore, integrating MCP servers for Spinnaker, AWS, Kubernetes, Terraform, Grafana, Datadog, and PagerDuty to enable contextual infrastructure search and analysis. • Engineered an AI-driven Terraform plan intelligence service using AWS Bedrock, leveraging semantic chunking and hierarchical summarization to generate deployment summaries and risk assessments, scaling to process 1,000+ release trains/day with Terraform plans containing tens of thousands of resource changes. • Built The Guardian, an internal agentic AIOps assistant integrating Slack, Confluence, Amazon Kendra, and platform services to provide contextual incident assistance for on-call engineers. • Scaled Infra AI from 50 to 1,000+ users by implementing conversational memory, session management, and UX improvements, driving adoption across engineering teams. • Migrated the AI agent infrastructure from AWS Lambda + ALB to Amazon AgentCore Runtime and Agent Gateway, simplifying MCP deployment while improving platform scalability and maintainability. • Reduced infrastructure drift by 70% across 18+ AWS production cells by designing and deploying a distributed Go-based cloud-agnostic drift detection service integrating Terraform state and cloud metadata. • Architected a scalable Spinnaker orchestration framework that improved deployment throughput by 4× by coordinating thousands of concurrent pipeline executions. • Owned and maintained 5+ business-critical platform services supporting deployment orchestration, infrastructure automation, and SRE workflows across 18+ production environments.

Backend Developer Intern at Vicuna Kouture, May 2024 - Jun 2024 · 1 mo, Vellore, Tamil Nadu, India, • Integrated Razorpay payment gateway, enhancing the application’s payment processing capabilities. • Integrated Shiprocket APIs into the application to enable creation and management of orders, including returns. • Designed and implemented the schema for the database, ensuring efficient data management.

Software Engineer Intern at Samsung R&D Institute India - Bangalore, Jul 2023 - Feb 2024 · 7 mo, Remote, • Enhanced tone mapping and contrast in astrophotography using CLAHE and ML models (Random Forest), reducing prediction time by 80%. • Developed an adaptive parameter tuning framework, increasing image enhancement accuracy by 35%. • Optimized image processing pipeline, reducing memory usage by 40% and enabling faster inference.

AI Computer Vision Engineer at Autosky Aerospace Pvt Ltd, Jun 2023 - Jul 2023 · 1 mo, Bengaluru, • Working in the FOD detection domain for the team. Implemented various image processing algorithms and CNN Models for autonomous inspection of runways as a part of the Mehar Baba Competition of the IAF. • Trained classification models like Squeezenet, ResNet. Worked on image processing, machine learning and Computer Vision for the team. • Tech stack: Python, PyTorch, SqueezeNet, DenseNet, OpenCV, CNN

Education

Bachelor of Technology - BTech, Information Technology, Vellore Institute of Technology

All India Senior School Certificate Examination - CBSE Grade XII, Physics, Computer Science, Mathematics, Chemistry and English, Delhi Public School - India

Public links

github: https://github.com/shreemantolahiri

leetcode: https://leetcode.com/sleepybeluga