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Planview

DevOps Engineer II

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Description

Planview is hiring a DevOps Engineer in Bengaluru, India, to support Planview SaaS applications across the product line. You will work in a global, collaborative team owning CI/CD pipelines, cloud infrastructure, and automation to keep deployments fast and systems reliable.


Responsibilities:

  • Build and maintain CI/CD pipelines in Jenkins for reliable, fast delivery.
  • Manage containerised workloads on Docker and ECS task definitions, services, and clusters.
  • Provision and manage AWS infrastructure using Terraform (CloudFormation a plus).
  • Automate configuration and deployment tasks using Python (Ansible a plus).
  • Set up and maintain monitoring and alerting via New Relic (CloudWatch, Datadog, or Prometheus/Grafana a plus).
  • Write Shell and Python scripts to automate operations and reduce manual work.
  • Manage Git workflows, branching, merge strategies, and pull request reviews.
  • Administer and support MSSQL databases underpinning the product line, including backups, restores, and basic performance troubleshooting.
  • Troubleshoot deployment, performance, and infrastructure issues with development teams.
  • Participate in on-call rotations and drive incident response.
  • Continuously improve infrastructure resilience and deployment speed.
  • Apply AI-assisted engineering tools (e. g., GitHub Copilot, Claude Code) to speed up IaC authoring, pipeline debugging, and day-to-day scripting.


Requirements:

  • Experience: 4-6 years of experience in DevOps, SRE, or Infrastructure Engineering.
  • OS: Linux and Windows administration (systemd, package management, log analysis).
  • Cloud: AWS (Active Directory, ECS, EC2 CloudFront, S3 VPC, IAM, RDS, Lambda basics).
  • Source Control: Git branching, merge/rebase, PR reviews.
  • CI/CD (Jenkins): Pipeline creation and basic Groovy scripting.
  • Containerization (Docker + ECS): Task definitions, services, and clusters.
  • IaC: Terraform.
  • Monitoring: New Relic.
  • Scripting: Bash and Python scripting for automation.
  • Networking Basics: DNS, load balancers, security groups, VPNs.
  • Logging: ELK stack / CloudWatch Logs.
  • Database: MSSQL administration, backups, restores, basic performance troubleshooting.
  • Infrastructure Automation: Hands-on experience automating infrastructure provisioning, configuration, and deployment end-to-end.
  • AI-Assisted Engineering: Comfortable working with AI coding/DevOps assistants (e. g., GitHub Copilot, Claude Code) for IaC generation, scripting, and troubleshooting, verified via a mandatory AI proficiency assessment during interviews.


Nice-to-Have Skills:

  • Configuration Management: Ansible.
  • Additional IaC: CloudFormation.
  • Architecture: Knowledge of microservices architecture.
  • Cloudflare: DNS, CDN, WAF.
  • Artefact Repositories: Nexus, JFrog Artifactory, ECR.
  • Other CI/CD Tools: GitHub Actions.
  • AWS cost optimisation / FinOps awareness.
  • Datadog, CloudWatch, or Prometheus/Grafana.
  • AIOps: Exposure to AI-driven anomaly detection, root-cause analysis, or incident triage (e. g., Dynatrace Davis AI, Datadog Bits AI, Harness AIDA).
  • Database Basics: RDS backups, restores, performance tuning.

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