Sep 2024 – Apr 2026 · 1 yr 7 mos · India · On-site

• > Set technical direction for multi-cloud client-side architecture by leading hyperscaler integrations across AWS, GCP, and Azure, enabling enterprise scale and long-term platform extensibility.
• > Designed and introduced a multi-stage anomaly detection framework using statistical time-series models, materially strengthening API security and advancing the platform’s threat intelligence capabilities.
• > Drove architectural modernization of ingestion and metrics pipelines by eliminating systemic tech debt and establishing durable patterns that improved maintainability and future evolution.
• > Established reliability and security standards for client-side systems, directly contributing to sustained 95% availability while scaling to meet growing customer and traffic demands.
• > Acted as escalation owner for strategic customers, leading complex onboardings and high-impact incident resolution while feeding learnings back into platform and product improvements.
• > Provided org-level technical leadership by aligning teams on execution strategy, unblocking cross-team dependencies, and ensuring complex initiatives landed with high quality.
• > Multiplied impact through mentorship and systemization by developing engineers on advanced systems and documenting critical cloud and traffic workflows to reduce operational risk and improve execution speed.

Feb 2024 – Sep 2024 · 7 mos

• > Integrated the Slack SDK and its models into core services for alerts, approvals, and chat-ops; cut context switching ~25% and reached ~70% team adoption in 3 months.
• > Implemented unified forms across in-house apps with schema validation and RBAC; reduced manual entry by ~60%, form errors by ~45%, and request SLAs from days to hours.
• > Optimized GCP infrastructure (GKE, Compute, BigQuery) with rightsizing and autoscaling; lowered monthly spend ~22% and improved CPU utilization ~35% without capacity loss.
• > Orchestrated large-scale releases across eight stages (plan, build, test, release, deploy, operate, monitor) using GitHub Actions, Helm, and Argo CD; 5× deploy frequency with <5% change-failure rate.
• > Lifted availability to ~99.95% by tightening SLOs and adding health checks, circuit breakers, and autoscaling policies.
• > Built observability with Cloud Monitoring (Stackdriver), Cloud Logging, and OpenTelemetry; cut MTTR ~35% via better alerts, traces, and runbooks.
• > Implemented preventative maintenance (patch windows, dependency/image scanning, chaos drills); high-severity incidents/quarter down ~30%, MTBI up ~2.1×.
• > Ran performance assessments (profiling, caching, DB indexing); improved p95 API latency ~40% and doubled throughput on critical paths.
• > Guided project teams with design reviews, RFCs, and pair programming; review turnaround dropped from ~2 days to <8 hours, and test coverage rose to 85%+.
• > Collaborated with product, security, and data teams to remove bottlenecks; idea-to-prod lead time shrank from ~3 weeks to ~5 days.
• > Standardized Infrastructure as Code with Terraform modules and policy checks; drift incidents down ~50% and environment setup time cut from hours to minutes.
• > Evaluated and integrated fit-for-purpose tech (Pub/Sub, workflows, managed secrets); POC-to-production cycle time reduced ~50% while keeping costs predictable.

Jun 2022 – Feb 2024 · 1 yr 8 mos

• > Deployed on-premises Jira Data Center on Kubernetes with Terraform (IaC), adding HPA/VPA, node pools, and repeatable cluster builds; improved resource utilization from ~55% to ~80% and sustained 99.95% uptime.
• > Migrated the existing Jira Data Center stack to Google Cloud Platform on GKE with private clusters, Filestore for shared home, and Cloud SQL for PostgreSQL; achieved zero-downtime cutover, cut p95 page load latency by ~35%, and set RTO 30 min / RPO 5 min.
• > Built end-to-end DevOps pipelines (build, test, security scans, backups, blue-green/canary upgrades); increased deployment frequency 6× (weekly → multiple/day) and reduced lead time for changes from days to hours.
• > Designed in-house dashboards joining relational and NoSQL data; lowered time-to-insight from hours to minutes, standardized KPIs, and enabled self-service reporting for support and engineering (adopted by 6+ teams).
• > Managed multiple codebases across the SDLC with trunk-based development, code owners, and automated checks; raised unit/integration coverage to 80%+ and reduced PR cycle time by ~40% while keeping defect escape low.
• > Delivered Salesforce integrations (REST and Bulk APIs) for users, cases, and asset data; near-real-time sync (<5-minute lag); eliminated double entry for operations; and reduced data mismatch incidents by ~70%.
• > Institutionalized best practices: Git workflows, CI/CD quality gates, contract and load testing, and automated rollbacks; kept change-failure rate under 5% and improved MTTR by ~35% through runbooks and targeted alerts.
• > Enforced security with RBAC, SAML/OIDC SSO, network policies, signed images, and encryption in transit/at rest; integrated Trivy/Grype/DAST into pipelines, cutting critical CVEs by ~60% and passing internal audit checks.

Dec 2020 – Jun 2022 · 1 yr 6 mos

• > Integrated Burp Suite Enterprise for continuous web app testing across 10+ services; tuned scan policies and issue workflows to cut false positives by ~30% and reduce triage time by ~50%.
• > Leveraged open-source scanners (OWASP ZAP, Nuclei, Trivy, Grype) in CI to gate builds on severity; lowered critical/high CVE backlog by ~65% and moved MTTR for vulns from ~14 days to ~5 days.
• > Earned GCP Professional Cloud Architect; designed cloud-native reference architectures that improved service reliability to 99.95%+ and trimmed cloud spend by ~20% via rightsizing and autoscaling.
• > Executed end-to-end integrations using Django/Flask backends with Tableau; built secure REST data services with row-level security, 5-min refresh SLAs, and caching—cut reporting time ~60% and tripled dashboard adoption.
• > Built and maintained DevOps pipelines (GitHub Actions/GitLab/Jenkins) with canary/blue-green strategies; increased deploy frequency from weekly to daily while keeping change failure rate under 5% and improving MTTR by ~35%.
• > Wrote Python/Go automation to remove manual release, backup, and compliance checks; saved ~40+ engineer-hours per month and dropped handoff errors by ~90% with idempotent scripts and audit logs.
• > Provided hands-on consultancy for security best practices, threat modeling, and policy-as-code; implemented Vault-backed secrets, least-privilege IAM, and WAF baselines.
• > Standardized Infrastructure as Code with Terraform and Kubernetes manifests; reduced environment drift to near-zero and cut provisioning time from days to hours across dev/stage/prod.
• Optimized application integration patterns (OAuth2/SAML SSO, API gateway, rate limiting, and caching); improved p95 latency by ~35% and stabilized throughput under peak traffic.
• > Stood up observability with Prometheus, Grafana, OpenTelemetry, and structured logging; defined SLOs/error budgets, halved alert noise, and enabled data-driven on-call runbooks.

Sep 2018 – Dec 2020 · 2 yrs 3 mos

• > Developed user interfaces with React and Angular, employing best practices for responsive and interactive designs. [Metrics: +28% task completion, -35% bounce, LCP p95 1.9s, Lighthouse 95+]
• > Collaborated with design teams via Figma and InVision to translate UX/UI concepts into functional prototypes, ensuring seamless user experiences. [Metrics: design-to-dev cycle -30%, NPS +12, SUS 86]
• > Contributed to Burp plugin development, enhancing security testing capabilities and bolstering application defenses against vulnerabilities. [Metrics: 120+ staging vulns flagged, P1s in prod -60%, scan time -40%]
• > Automated tasks using Python and JavaScript, streamlining workflows and boosting productivity through script-based solutions. [Metrics: ~10 hrs/week saved, CI steps -45%, failure rate -25%, ROI 4.2x]
• > Managed multiple small projects, overseeing development and deployment stages to meet objectives efficiently. [Metrics: 96% on-time delivery, budget variance -12%, stakeholder CSAT 4.7/5]
• > Engaged in code reviews, debugging sessions, and optimization initiatives to elevate project quality and performance standards. [Metrics: defect density -38%, p95 latency -42%, MTTR -33%, coverage 85%+]

Aug 2018 – Sep 2018 · 1 mo · Bengaluru, Karnataka, India

• > Interfaced with a cross-functional team of business analysts, developers, and technical support professionals to determine a comprehensive list of requirement specifications for new applications.
• > Investigated new and emerging software applications within the industry to design, select, implement, and use administrative information systems effectively.
• > Majorly worked on 5 technologies that were Angular, Git, Adobe, Bootstrap 5, and CSS.