Headline

Cloud Infrastructure Engineer @ Accenture (AWS Business Group) | Terraform • AWS • Python | Building platform infrastructure in the AI era | Ex-Goldman Sachs | NYU MS CS

About

I build and run cloud infrastructure for companies where an hour of downtime costs millions. For two years that meant a Terraform module and Sentinel policy release platform serving one of the largest banks in the US, where a bad release reaches hundreds of teams before anyone files a ticket. Before that, data infrastructure at Goldman Sachs in New York for Marcus, their consumer bank. These days I'm at Accenture in the AWS Business Group, building an agentic triage system on Bedrock for failed SAP document transactions. The label changes depending on who's hiring: release engineering, platform, SRE. The job is mostly the same. Someone has to own the path from a merged commit to a running service and make it boring enough that nobody has to think about it. On AI, I use it like the rest of my toolchain rather than treating it as a separate subject. Claude runs alongside my daily work for code, architecture review, and debugging. The Bedrock project has been the more useful education: evaluation and failure modes look very different once an agent is making decisions inside a production workflow. I'm open to senior infrastructure, platform, SRE, and release engineering roles at product companies. What I want is a team whose reliability and scale problems are actually hard. If that's yours, get in touch.

Location

Greater Bengaluru Area

AI stack

codex

cursor

claudecode

Work experience

Cloud Engineer - Senior Analyst at Accenture, Aug 2024 - Present · 2 yrs 1 mo, Bengaluru, Karnataka, India, Consult on platform and release engineering across two client engagements. Agentic operations tooling, large enterprise client (2026 to present) Building an agentic system on AWS Bedrock that triages failed SAP IDOC transactions, classifying failure modes and choosing remediation paths that previously needed manual investigation. Covers agent design, tool integration against SAP and AWS, and the evaluation harness for triage accuracy. Phase 1 in development. Terraform and Sentinel release platform, large U.S. bank (2024 to 2026) Central platform team; releases consumed by hundreds of infrastructure engineers firm-wide. • Owned biweekly Terraform module and Sentinel policy releases across dozens of modules, meeting quality and delivery SLA every cycle. • Designed and shipped two internal apps end to end: a service automating the API-driven post-release validation that gated every cycle, and a dashboard surfacing module usage, version drift, and deprecation timelines. Python/Flask and TypeScript/React on ECS. • Built and ran the Spinnaker pipelines deploying both apps and their Terraform-defined infrastructure through to production. • The dashboard gave the team its first view of consumer impact before breaking changes. • Migrated organizational secrets from a non-compliant Jenkins Credentials Store to HashiCorp Vault, bringing firm-wide secret management into compliance with no disruption at cutover. • Rebuilt Jenkins release pipelines to remove manual steps and shorten cycle time. • Automated recurring operational workflows in Python, cutting hours of weekly manual work. • Ran compliance-driven maintenance across the client's AWS estate to stay inside audit guardrails. • Mentored incoming engineers on client tooling and release workflow.

Cloud Infrastructure/DevOps Engineer - Analyst at Goldman Sachs, Nov 2021 - Apr 2023 · 1 yr 6 mos, New York, New York, United States, Ran the cloud data infrastructure behind Marcus, Goldman Sachs' consumer banking platform. The regulatory, compliance, and business intelligence reporting that the firm and its regulators depended on all ran on top of it. I owned the Airflow and Databricks platform and the AWS primitives underneath, managed as code in Terraform and Ansible. Data teams wrote the pipelines. Keeping the platform they ran on available, compliant, and affordable was my job. • Redesigned S3 lifecycle policies across dozens of production buckets to move data through tiered storage (Standard, IA, Glacier), cutting storage spend by millions a year. • Contributed a significant share of the Airflow migration off bare-metal EC2 onto ECS/Fargate as an IC on the migration team, which fixed scheduler performance under load and let the platform scale horizontally instead of vertically. • Built a Lambda and Kinesis pipeline streaming S3 access logs into Splunk, giving security and platform teams bucket-level visibility in near real time. • Designed and operated secure connectivity between Goldman's internal network and external regulatory and compliance data providers, under the controls a regulated bank requires. • Migrated Bitbucket repositories and Bamboo jobs onto GitLab and GitLab CI, consolidating source control and CI onto one surface. • Held 99.99% uptime on compute infrastructure through proactive incident response and systematic ticket triage.

DevOps Engineer at Cyber Dive, Jan 2021 - Apr 2021 · 4 mos, Mesa, Arizona, United States, • Redesigned a monolithic application as microservices, targeting 10,000+ concurrent users. • Planned the cloud migration from DigitalOcean to AWS, covering service mapping, cost modeling, and rollout sequencing. • Stood up a staging environment so releases could be validated before reaching production.

Software Engineer Intern at BlockApps, Jun 2019 - Dec 2019 · 7 mos, Brooklyn, New York, United States, • Built a Jenkins CI pipeline that automated deploy and redeploy of a middleware integration sandbox. • Added OAuth support to existing Jenkins test and deploy pipelines. • Shipped an S3-backed external storage feature for the blockchain platform using smart contracts. • Deployed single-node and multi-node blockchain networks for new enterprise clients. • Wrote a Python utility against the JIRA REST API to automate weekly engineering log capture.

Software Engineer Intern at CodeHall Technology Pvt. Ltd., Oct 2017 - Dec 2017 · 3 mos, Bengaluru, Karnataka, India, • Automated project configuration with Ansible, saving each engineer tens of hours. • Automated build, deploy, and test for the company website using AWS CodePipeline.

Education

Master of Science - MS, Computer Science, New York University

Bachelor of Engineering - BE, Computer Science and Engineering, Visvesvaraya Technological University