DevOps Engineer

DevOps Engineer | Fastcurve
Location: Noida, Uttar Pradesh | Onsite
Experience: 2–3 years
Fastcurve is looking for a hands-on DevOps Engineer to deploy, automate and maintain cloud applications, improve production reliability and use AI agents effectively across daily operations.
Must-have skills
Strong fundamentals: Linux, shell scripting, networking, Git and systematic troubleshooting.
Programming: Strong practical skills in Python or JavaScript/TypeScript with Node.js for automation and API integrations.
AI agents: Hands-on use across infrastructure setup, scripting, CI/CD, incident investigation, remediation and operational improvements. Ability to deeply review outputs, validate assumptions, control permissions and verify results.
CI/CD: Build and maintain pipelines covering builds, tests, security checks, deployments and rollbacks using at least one platform such as Jenkins, GitHub Actions, GitLab CI or Bitbucket Pipelines. Understand GitOps principles.
Infrastructure as Code: Practical experience with Terraform, OpenTofu, CloudFormation or CDK, including change review and configuration drift.
AWS: Hands-on knowledge of IAM, VPC, EC2, ALB/NLB, Auto Scaling, S3, RDS and CloudWatch. A valid, relevant AWS Associate-level certification is mandatory.
Application infrastructure: Understand deployment, management, maintenance and troubleshooting across DNS, TLS, load balancers, reverse proxies, web/application servers, databases and object storage. Understand caching, messaging and scaling concepts, including Redis and Kafka.
Containers: Build, secure, deploy and troubleshoot containers, including images, registries, networking, volumes, secrets and health checks.
Observability: At least one implementation using tools such as CloudWatch, Zabbix, Grafana, Prometheus or ELK. Understand metrics, logs, tracing, alert severity, thresholds, notifications, escalation, SOPs/runbooks and controlled auto-remediation.
Security and recovery: Working knowledge of least-privilege access, secrets management, patching, vulnerability scanning, backups, restoration and recovery objectives.
Production ownership: Handle routine incidents, contribute to root-cause analysis, monitor costs and identify optimisation opportunities.
Process discipline: Proactively create and own tickets, communicate promptly, escalate blockers, document changes and verify resolution before closure.
Good to have
Exposure to DevSecOps, including automated security controls and policy checks in delivery pipelines.
Kubernetes deployment and operations experience.
Exposure to the AWS Partner ecosystem, programmes, credits and funding processes.
We value clear concepts, practical production experience, sound judgment and dependable ownership.

Work arrangement
No