Headline

Immediately Available | DevOps Engineer @ SLB | Azure , AWS | Terraform | Kubernetes | Automation | Saved $20K & cut provisioning by 60% | Open to New Roles

About

I build cloud infrastructure that is fast, cheap to run, and hard to break. At SLB — a Fortune 500 energy tech company — I own the full DevOps lifecycle: from Terraform IaC and AKS cluster provisioning to CI/CD pipelines, production incident response, and platform observability. In under 3 years, the work translated into numbers that matter: → $20,000 saved annually through ADF pipeline optimization → 60% faster environment provisioning via modular Terraform automation → 45% improvement in Mean Time to Detect through Dynatrace + App Insights → 30% sustained reduction in production downtime My stack: Azure · Terraform · Kubernetes (AKS) · Azure DevOps · Docker · Python · Dynatrace · GitHub Actions I don't just keep pipelines running. I design the systems that make pipelines boring — because boring infrastructure means nothing is on fire. Previously at HighRadius, I worked on ML engineering — improving model accuracy by 12% and cutting manual data processing by 40% through automated pipelines. 🏆 Star of the Month — June 2024 · RoE Emerging Newcomer — Q1 2024 (SLB) Currently serving notice period. Available from 1 May 2026. Open to DevOps / Platform / Cloud Infrastructure roles at product-based MNCs. 📩 nidhi.manshi@gmail.com

Location

Ranchi

AI stack

antigravity

claude

opencode

Work experience

DevOps Engineer at SLB, Jan 2025 - Apr 2026 · 1 yr 4 mos, • Saved$20,000/year by diagnosing and eliminating inefficiencies in Azure Data Factory pipelines — translating engineering work directly into P&L impact. • Cutprovisioning time by 60% by building a reusable modular Terraform IaC framework (remote state, AKS clusters, VNet/Subnet, IAM, ARM) — and eliminated configuration drift entirely. • Reducedcloud spend by 35% by architecting ephemeral environment workflows with automated provisioning and teardown — zero idle resources. • Improved release reliability by 40% by standardizing a reusable Azure DevOps YAML CI/CD architecture enabling automated multi-environment deployments for cloud-native microservices. • CutMTTDby45%byowning the full observability stack — Azure Application Insights + Dynatrace — with proactive alerting that caught issues before users did.

Associate DevOps Engineer at SLB, Jul 2023 - Jan 2025 · 1 yr 7 mos, Pune District, Maharashtra, India, • Sustained 30% reduction in production downtime by leading incident management, deep log triage, and Root Cause Analysis (RCA) for all AKS-hosted services. • Dropped release failure rate by 20% through rolling upgrades and controlled rollout strategies, hardening the deployment process end-to-end. • Achieved zero secrets exposure by integrating Azure Key Vault, configuring RBAC policies, and securing secret injection across all Kubernetes workloads.

Software Engineer Intern (ML) at HighRadius, Feb 2022 - Apr 2023 · 1 yr 3 mos, Bhubaneswar, Odisha, India, • Lifted ML model accuracy by 12% through targeted feature engineering and large-scale dataset processing — directly improving product output quality. • Eliminated 40% of manual data processing effort by implementing and validating fully automated data pipelines end-to-end. • Reducedfalse prediction rate by 18% through statistical analysis and systematic performance tuning of model outputs.

Web Developer at KIIT ROBOTICS SOCIETY, Sep 2020 - Apr 2023 · 2 yrs 8 mos

Web Developer at CASA ALTAIR, Jan 2021 - May 2021 · 5 mos

Facilitator at My Captain, Jul 2020 - Sep 2020 · 3 mos

Education

Bachelor of Technology - BTech, electronics and computer science, KIIT - Kalinga Institute of Industrial Technology

Jawahar vidya mandir shyamali