DevOps Engineer II
Posted Updated
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.
Skills
- Active Directory
- AI
- Anomaly Detection
- Ansible
- Artifactory
- Automation
- AWS
- Bash
- CI/CD
- Claude Code
- Cloud
- Cloudflare
- CloudFormation
- CloudFront
- CloudWatch
- Containerization
- Datadog
- DevOps
- DNS
- Docker
- Dynatrace
- EC2
- ECS
- ELK
- FinOps
- Git
- GitHub
- GitHub Actions
- Github Copilot
- Grafana
- Groovy
- IAM
- Infrastructure as Code
- Jenkins
- Lambda
- Linux
- Microservices
- Networking
- New Relic
- Prometheus
- Python
- RDS
- Root Cause Analysis
- S3
- SaaS
- SQL Server
- SRE
- Terraform
- VPC
- WAF