About the role
We re looking for a Infrastructure Auotmation and DevOps Engineer who combines software development expertise with strong DevOps and cloud infrastructure skills. You'll be responsible for designing, developing, deploying, and maintaining scalable web applications while implementing CI/CD pipelines, automating infrastructure, and ensuring high system reliability and performance. You'll work closely with developers, QA engineers, and operations teams to streamline deployment processes and enhance development workflows.
The candidate will have responsibilities across the following functions:
IaC Development:
- Design, develop, and maintain Infrastructure Automation using IaC principles and DevOps Skills.
- Develop Predictive automation using Monitoring and Observability tools.
DevOps and Cloud Infrastructure:
- Build and maintain CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, or CircleCI.
- Manage infrastructure as code (IaC) using Terraform, CloudFormation, Ansible, Pulumi and Crossplane.
- Deploy and monitor applications in cloud environments (AWS, Azure, or GCP).
- Set up automated monitoring, logging, and alerting (Prometheus, Grafana, ELK Stack, Datadog).
- Enhance system reliability, security, and scalability through automation and best practices.
Operations and Collaboration:
- Participate in code reviews and DevOps strategy discussions.
- Troubleshoot and resolve production issues with a focus on uptime and performance.
- Implement security best practices and assist with compliance standards.
- Mentor junior developers and contribute to improving development workflows.
The core requirements for the job include the following:
DevOps and Automation Tools:
- CI/CD Pipelines: Jenkins, GitHub Actions, GitLab CI, CircleCI, Travis CI, ArgoCD
- Infrastructure as Code (IaC): Terraform, Ansible, AWS CloudFormation, Pulumi
- Configuration Management: Chef, Puppet, Ansible, SaltStack
- Monitoring and observability: Splunk, DataDog, Prometheus.
Cloud and Infrastructure:
- Cloud Platforms: AWS, Azure, Google Cloud Platform (GCP)
- Compute and Networking: EC2 Lambda, VPC, Load Balancers, Route 53 DNS, VPNs
- Storage and Databases: S3 RDS, DynamoDB, PostgreSQL, MySQL, MongoDB
- Containerization: Docker, Podman
- Container Orchestration: Kubernetes (K8S), Helm, OpenShift
System Administration and Networking:
- Operating Systems: Linux (Ubuntu, CentOS, Alpine), Bash scripting, basic Windows Server knowledge
- Networking Fundamentals: TCP/IP, DNS, SSL/TLS, HTTP/HTTPS, VPN, firewalls
- Security and Compliance: IAM, Secrets Management (Vault, AWS Secrets Manager), SSH, encryption, vulnerability scanning
Observability and Incident Response:
- Monitoring: Application and system performance metrics
- Alerting and Incident Management: PagerDuty, Opsgenie, Slack integrations
- Logging: Centralised log management (ELK, Fluentd, Splunk)
Bonus / Emerging Skills:
- Serverless architectures (AWS Lambda, Azure Functions)
- GitOps (Flux, ArgoCD)
- AIOps and observability automation
- SRE principles (Service Level Indicators/Objectives)
- Cloud Observability Skills: Multi-cloud monitoring, Cloud cost optimisation, Cloud performance analysis, Cloud-native troubleshooting, Cloud security observability
- Tools: Azure Monitor, Azure Log Analytics, Azure Application Insights, AWS CloudWatch, AWS X-Ray, GCP Operations Suite, Datadog Cloud Monitoring, Dynatrace Cloud Automation.
- Skills: Network flow analysis, Packet analytics, WAN observability, SD-WAN monitoring, Network performance management, Network anomaly detection
- Tools: ThousandEyes, SolarWinds NPM, Cisco AppDynamics Network Monitoring, Riverbed
- Observability: SCOM, SolarWinds, Datadog Infrastructure Monitoring, Dynatrace Infrastructure, VMware Aria Operations, Turbonomic
Additional Information:
- Strong problem-solving and debugging skills.
- Collaboration with developers, QA, and IT teams.
- Understanding agile methodologies (Scrum, Kanban).
- Continuous learning and adapting to new tools and cloud services.
- Flexible to work in 24*7 environment.