Headline

Experienced Software Engineer | AWS · IaC · Platform Automation | 7+ Years | Terraform · Kubernetes · CI/CD | Open to DevOps & Platform Engineering roles

About

I build reliable, scalable, and secure cloud infrastructure — currently as a Site Reliability Engineer at JPMorgan Chase, where I own observability, automation, and platform reliability across 40+ AWS environments. What I've delivered: 🔹 Cut Mean Time To Detect by 38% by consolidating Grafana dashboards across 10+ AWS services and building a full SLO/SLI monitoring framework on Prometheus 🔹 Eliminated 312+ engineering hours annually through Python/boto3 automation for cloud resource lifecycle management — cutting cloud spend by 60% 🔹 Standardized deployments with 15+ Terraform modules across CI/CD pipelines, saving 6 engineering hours per release cycle 🔹 Reduced critical production incidents by 60% through CloudFormation-driven remediation and root-cause analysis 🔹 Led P3–P5 incident response and mentored junior SREs on RCA and Terraform practices, driving 70% SLA compliance Core stack: AWS (EC2, ECS, EKS, Lambda, S3, IAM, CloudWatch, VPC, Route53, CloudFormation) | Kubernetes | Terraform | Python | Docker | Linux | GitOps | CI/CD (GitHub Actions, Jenkins) | Prometheus | Grafana | Splunk | I'm actively expanding into Generative AI and AI Agent tooling — exploring how intelligent automation reshapes DevOps and SRE work, and building hands-on projects that combine cloud infrastructure with LLM-based systems. As a hard-of-hearing engineer, I've built my career on the belief that determination and continuous learning open doors that limitations try to close. I'm passionate about accessibility, inclusion, and mentoring the next generation of engineers. Currently open to Cloud Engineering, Platform Engineering, DevOps, Infrastructure Engineering, and AI Engineering roles — India, UAE, and international.

Location

Bengaluru

AI stack

antigravity

claude code

gemini

github copilot

lovable

perplexity

Work experience

Experienced Software Engineer/Site Reliability Enginer at JPMorganChase, Sep 2023 - Oct 2026 · 3 y 1 mo, On-site, Spearheaded the consolidation of Grafana dashboards by linking Splunk data sources across 10+ critical AWS services, deploying robust alerting mechanisms that reduced Mean Time To Detect (MTTD) by 38%. Deployed 15+ Terraform modules via CI/CD pipelines, standardizing platform deployments across environments and architecting end-to-end deployment workflows that eliminated manual intervention, saving six engineering hours per cycle. Established an SLO/SLI monitoring framework by defining comprehensive error budgets and multi-tier alerts using Prometheus, scraping metrics via Swagger APIs to achieve 100% service status coverage and improve signal prioritization and incident detection speed. Diagnosed and remediated unpredictable build and deployment issues in the release pipeline by collaborating with product and engineering teams, introducing dependable guardrails that improved pipeline stability by 60%. Directed the end-to-end cloud account lifecycle for AWS customers, provisioning 40+ environments and streamlining regional onboarding and offboarding procedures through standardized templates and automation scripts, reducing provisioning time by 50%. Resolved workflow failures through CloudFormation Stacks and monitoring-driven root cause analysis, reducing critical production incidents by 60% and improving overall platform stability. Engineered Python automation scripts leveraging boto3 to manage cloud resource lifecycle operations — including health checks, routine maintenance, and orphaned resource cleanup tied to Terraform tags — eliminating 312+ hours of manual engineering effort annually and saving 60% in cloud spend. Accelerated Python and Terraform development velocity by 40% in first-draft time by adopting GitHub Copilot and LLM-based tooling for monitoring and infrastructure automation. Led cross-functional P3–P5 incident response, mentoring junior SREs on RCA and Terraform practices — driving 70% SLA compliance and reducing senior escalation dependency.

Software Engineer - I at JPMorganChase, Aug 2020 - Aug 2023 · 3 yrs 1 mo, Hybrid, Reduced VSI application downtime by 60% by managing Jenkins and GitHub Actions pipelines and resolving critical failures. Ensured 100% uptime for global payments data workloads by operating Kubernetes, Kafka, Oracle, and Elasticsearch platform services on Linux. Diagnosed and eliminated recurring causes of critical incidents, enhancing system stability and preventing over four critical failures per quarter in a regulated financial environment. Improved system monitoring for Kubernetes and Kafka clusters, decreasing Mean Time To Detect (MTTD) by 80%.

Software Engineer Trainee at Pride Global India, Dec 2019 - Jul 2020 · 8 mos, Bengaluru, Completed a 13-week JPMorgan Chase-led technical bootcamp focused on Java and SQL, building hands-on projects to apply core software engineering concepts. Gained foundational software engineering skills through JPMorgan Chase's structured training program, developing and delivering projects using Java and SQL.

Trainee at WinVinaya Foundation, May 2019 - Aug 2019 · 4 mos, Bengaluru, Karnataka, India

Education

Bachelor of Technology, Computer Engineering, NIST University

dav public school

Public links

github: https://github.com/shohankonchada