Mahankali Bhanubabu
Associate DevOps Engineer | Workload Automation & CI/CD • Hyderabad, India • m***********************@gmail.com • +91*******589 • drivetube.ai/•••••
Professional Summary
Associate DevOps Engineer with 1+ years of experience delivering workload automation, incident response, and CI/CD tooling. Specialized in batch scheduling and automation using AutoSys and Automic UC4 to operate production schedules and maintain SLA compliance for enterprise clients. Skilled in Linux and shell scripting to automate log extraction, root-cause analysis, and self-healing rerun workflows that reduce manual triage. Built GitOps pipelines and CI/CD workflows using GitHub Actions, Argo CD, Kustomize, and GHCR to enable canary deployments and automated image promotion. Implemented SLO-driven observability on Kubernetes using Prometheus, Grafana, Alertmanager and Helm for actionable alerting and reliability validation. Practiced incident tooling and ITIL-aligned processes with ServiceNow integration, ticket automation, and runbook creation for consistent on-call response. Comfortable developing services in Node.js and FastAPI and applying Docker and Kubernetes to deliver production-grade deployments. Seeking Associate DevOps roles that leverage workload automation, CI/CD, and SRE practices to improve reliability and reduce operational toil.
Technical Skills
Programming Language: Shell Scripting,Apex
Backend Technologies: Node.js,FastAPI
Version Control & Development Tools: GitHub,Linux,Git
DevOps & Infrastructure: GitHub Actions,Argo CD,Kustomize,GitOps,Docker,Kubernetes,Helm,AutoSys,Automic UC4,Job Scheduling,Alertmanager,ServiceMonitor,PrometheusRule,Continuous Integration
Messaging & Monitoring: Prometheus,Grafana
Data Engineering & Processing: Batch Processing
Infrastructure Security: Trivy
Project Management & Collaboration: ITIL
Enterprise Platforms: Salesforce,ServiceNow
Quality Assurance & Compliance: Root Cause Analysis
Platform Development & Configuration: Salesforce Flow
Work Experience
Miraki Technologies
Hyderabad, India
Enterprise Automation Engineer
Aug 2025 – Present
Worked on enterprise workload automation and production scheduling; supported multiple clients with job scheduling, incident response, and SLA monitoring.
Tech Stack: AutoSys, Automic UC4, Linux, ServiceNow
- Monitored 200+ jobs and 50+ workflows daily using AutoSys and Automic UC4 across multiple production environments to ensure SLA-compliant execution.
- Diagnosed job failures by analyzing scheduler traces and Linux system logs to identify root causes and determine targeted recovery actions.
- Built and maintained a shell-based log automation tool that extracts failure context and standardizes root-cause outputs for the operations team.
- Implemented a self-healing job recovery framework in Automic UC4 to detect common failure patterns and trigger conditional restart or rerun procedures.
- Integrated incident handling with ServiceNow to automate ticket creation and status updates during production incidents for faster escalation.
- Coordinated dependency validation and ITIL-aligned change scheduling across DEV, UAT, and PROD to reduce schedule conflicts and change-related failures.
- Authored runbooks and standard operating procedures for recurring failure modes and delivered knowledge-transfer sessions to on-call engineers.
Salesforce Virtual Internship
Remote
Salesforce Administrator & Developer
Jan 2024 – Aug 2024
Configured and developed Salesforce sandbox environments; focused on CRM configuration, automation, and reporting for functional training and proof-of-concept tasks.
Tech Stack: Salesforce, Apex, Salesforce Flow
- Configured users, profiles, and permission sets to enforce role-based access controls and secure data access in Salesforce sandbox.
- Created custom objects, validation rules, and page layouts to model business processes and improve data integrity in test scenarios.
- Built Salesforce Flow and workflow automations to reduce manual updates and automate common business tasks within the CRM.
- Developed reports and dashboards to surface KPIs and operational metrics for stakeholder review and validation.
- Implemented Apex classes and basic triggers in sandbox environments and executed unit tests to validate automated behavior.
- Documented configuration changes, deployment steps, and handover notes to support future administrators and auditors.
Projects
CanaryGuard
Tools Used: Kubernetes, Docker, GitHub Actions, Argo CD, Kustomize, Node.js, GHCR, GitOps
- Developed a GitOps-driven Kubernetes platform to run canary deployments and validate application health during staged rollouts.
- Built a GitHub Actions CI pipeline to run unit tests, build Docker images, generate SHA-based image tags, and publish images to GHCR.
- Managed Kubernetes manifests with Kustomize and enabled automated sync and promotion using Argo CD for Git-backed deployments.
- Implemented configurable failure scenarios via environment variables to simulate version and traffic-based faults for canary validation.
TaskTracker SRE
Tools Used: Kubernetes, Docker, Prometheus, Grafana, Alertmanager, GitHub Actions, FastAPI, GHCR, Trivy, Helm
- Instrumented a FastAPI microservice with Prometheus metrics (counters, histograms, gauges) to support SLO-driven observability testing.
- Deployed the service on Kubernetes using Deployments with liveness/readiness probes and configured rolling updates for zero-downtime releases.
- Configured Prometheus Operator resources (ServiceMonitor, PrometheusRule) via Helm-managed kube-prometheus-stack to scrape metrics reliably.
- Established SLO/error-budget alerting rules and routed actionable alerts through Alertmanager to reduce noise and focus on SRE priorities.
- Built a GitHub Actions CI/CD pipeline to test, build, and publish Docker images to GHCR and incorporated Trivy vulnerability scanning in the pipeline.
Automic UC4 Self-Healing Job Automation Framework
Tools Used: Automic UC4, AutoSys, Linux, Shell Scripting
- Designed a self-healing workflow to detect failed batch jobs and execute predefined recovery actions within Automic UC4.
- Implemented automated health checks, conditional job restarts, and execution logging to reduce manual intervention during incidents.
- Integrated job-level notifications and standardized failure classifications to accelerate diagnosis and corrective action.
Education
Malla Reddy Engineering College (MREC)
B.Tech in Computer Science • Hyderabad, Telangana, India • May 2025
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