BENGALURU · FULLTIME
DevOps Engineering Specialist
Grayson Talent
Bengaluru · onsite · Posted 12d ago
Sourced from
Undisclosed8–2 yrsfulltimeBengaluru
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Section · 01
About this role
We are looking for an exceptional DevOps Engineering Specialist to design, automate, and operate highly available, secure, and scalable cloud infrastructure. You will build platforms that enable engineering teams to deploy software rapidly and reliably while maintaining operational excellence.
Responsibilities
- Design and manage cloud infrastructure across AWS, Azure, or GCP.
- Build and maintain Infrastructure as Code using Terraform, Pulumi, or CloudFormation.
- Develop and optimize CI/CD pipelines.
- Architect containerized platforms using Kubernetes and Docker.
- Improve system reliability, observability, and performance.
- Implement automated monitoring, alerting, and incident response workflows.
- Lead disaster recovery and business continuity planning.
- Establish SRE practices including SLIs, SLOs, and error budgets.
- Automate repetitive operational tasks through scripting and platform engineering.
- Mentor engineers and contribute to technical strategy.
Required Qualifications
- 8+ years in DevOps, SRE, Platform Engineering, or Infrastructure Engineering.
- Deep expertise with Linux systems administration.
- Strong experience with Kubernetes in production environments.
- Advanced knowledge of cloud platforms (AWS preferred).
- Expertise in Terraform or equivalent IaC tools.
- Strong scripting/programming skills (Python, Go, Bash).
- Experience with monitoring platforms such as Prometheus, Grafana, Datadog, or New Relic.
- Proven experience operating mission-critical systems with high availability requirements.
Preferred Qualifications
- Experience running multi-region or global-scale infrastructure.
- Platform engineering experience.
- FinOps and cloud cost optimization expertise.
- Security-by-design mindset.
- Open-source contributions.
Success Metrics
- Deployment frequency increases.
- Mean time to recovery (MTTR) decreases.
- Infrastructure costs optimized.
- Service uptime exceeds SLA targets.
- Reduced manual operational workload.
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Section · 02
Skills
PythonLinuxCi/CdPrometheusDatadogGrafanaDockerTerraformBashKubernetesMicrosoft AzureGolanggoogle cloud platformamazon web servicesnew relicaws cloudformationPulumi