DevOps Engineer II

Company Overview: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.ResponsibilitiesBuild and maintain CI/CD pipelines in Jenkins for reliable, fast delivery.Manage containerized 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 — 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.QualificationsMust-Have SkillsExperience: 4–6 years of experience in DevOps, SRE, or Infrastructure Engineering.OS: 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.•     Artifact Repositories: Nexus, JFrog Artifactory, ECR.•     Other CI/CD Tools: GitHub Actions.•     AWS cost optimization / 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.