Summary
Overview
Work History
Education
Skills
Tooling & Platforms
Certification
Timeline
background-images

Sunil Karki

Charlotte,NC

Summary

DevOps engineer with practical experience operating Kubernetes (Amazon EKS) on AWS, building Jenkins pipelines, and managing Git-based workflows (branches, PRs, tags, protected branches). Comfortable with Docker, Splunk/Datadog, Bash/Python, and UNIX/Linux. Communicates clearly with peers and leadership and documents changes, risks, and procedures.

Overview

5
5
years of professional experience
1
1
Certification

Work History

Jr. DevOps Engineer

CGI
01.2023 - Current
  • Assisted Jenkins pipelines for build/test, Docker image, ECR push, EKS deploy.
  • Added small Groovy helpers/shared steps for common CI tasks.
  • Helped operate EKS (managed node groups, basic scaling, IRSA usage).
  • Wrote simple Kubernetes manifests; used kubectl for rollouts and checks.
  • Built Docker images from lean bases; pushed artifacts to ECR.
  • Set up Datadog logs/metrics/APM; created basic monitors and team dashboards.
  • Wrote Bash/Python scripts for pre-deploy checks, smoke tests, and routine ops.
  • Participated in change reviews and on-call; maintained runbooks/rollback steps.
  • Joined client update calls to share status and capture environment needs.

Production Support Specialist L2

Fannie Mae
09.2021 - 01.2023
  • Coordinated P1/P2 incidents and war rooms; communicated status/next steps to stakeholders.
  • Debugged Java/Python services via logs, threads, and configs; partnered with L3/engineering for fixes.
  • Analyzed logs and performance in Splunk (searches, dashboards); exposure to Grafana/New Relic.
  • Performed RCA and documented post-incident reviews with clear action items.
  • Wrote small Python/Bash scripts for log parsing, checks, and incident reproduction.
  • Supported release readiness (cutover plans, smoke tests) and peak periods (quarter-end/ops spikes).
  • Triaged issues across REST/microservices, dependencies, timeouts, and env drift.
  • Used SQL (Oracle) for data validation and impact analysis during incidents.
  • Worked with Jenkins/Git on safe deploy/rollback steps and pipeline awareness.
  • Improved runbooks, SOPs, and monitoring alerts to strengthen on-call handoffs.

Production Support Specialist L1.5

Fannie Mae
10.2020 - 09.2021
  • Provided app & infra support under ITIL (incident/change/problem) using ServiceNow and team knowledge bases.
  • Used UNIX command line (grep/awk/sed, permissions, processes) and basic shell for day-to-day triage.
  • Wrote and ran SQL scripts (Oracle) for data checks and root-cause validation.
  • Monitored and triaged Autosys jobs; created/updated runbooks and shift handoffs.
  • Communicated status, impact, and next steps clearly with tech teams and business partners.
  • Troubleshot end-to-end issues (app, middleware, DB, network basics) with strong attention to detail.
  • Worked with common PC tools: Outlook, browsers, SharePoint, Office Suite for documentation/collab.
  • Used monitoring/logging tools; routed alerts; basic exposure to security tools and messaging middleware.
  • AWS familiarity: navigated AWS Console; viewed EC2/ELB health and CloudWatch Logs; exposure to ECS/EKS concepts, SQS/SNS, and Lambda.
  • Financial services domain exposure (mortgage processing / operations support).
  • Java knowledge used to read logs/config during triage.

Education

Software Engineering

Lambda School

Computer Science

Mississippi College

Skills

  • Cloud computing expertise: AWS (EKS)
  • Containerization expertise: Docker
  • Jenkins pipeline development
  • Log and metric analysis using Splunk and Datadog
  • Bash and Python scripting
  • Load balancer management
  • Experience with Envoy and OPA
  • Incident management

Tooling & Platforms

  • AWS: EKS, EC2, ECR, S3, IAM/IRSA, ALB, Route 53
  • Kubernetes: Namespaces, Deployments, Services, Ingress (ALB), ConfigMaps/Secrets, HPA basics
  • CI/CD & VCS: Jenkins (Declarative/Groovy, multibranch), Git (feature branches, PR reviews, protected branches)
  • Observability: Splunk (HEC, saved searches/alerts), Datadog (APM, dashboards, monitors)
  • OS & Scripting: UNIX/Linux, Bash, Python
  • Process: ITIL (change/incident/problem), ServiceNow, on-call participation
  • Databases: Oracle & SQL (release validation and prod triage support)

Certification

  • AWS Solutions Architect – Professional
  • AWS Cloud Practitioner
  • AWS Solutions Architect – Associate
  • AWS Developer – Associate
  • AWS SysOps – Associate
  • HashiCorp Terraform Associate

Timeline

Jr. DevOps Engineer

CGI
01.2023 - Current

Production Support Specialist L2

Fannie Mae
09.2021 - 01.2023

Production Support Specialist L1.5

Fannie Mae
10.2020 - 09.2021

Computer Science

Mississippi College

Software Engineering

Lambda School
Sunil Karki