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DevOps Engineer
Stellartech Research Corporation. Design, implement, and maintain scalable cloud infrastructure .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining scalable cloud infrastructure, with strong capabilities in CI/CD pipeline management and Kubernetes operations. Proficient in automating processes and optimizing performance across distributed systems while ensuring reliability and efficiency.
Highest-signal resume keywords
AWS Cloud ArchitectureKubernetes ManagementTerraform AutomationCI/CD Pipeline ImplementationDatabase Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Cloud Infrastructure DesignCI/CD Pipeline ManagementKubernetesDockerTerraformGitPython ScriptingBash ScriptingAPI Gateway ManagementMachine Learning Deployment
Soft Skills
Troubleshooting SkillsCollaboration
Tools & Technologies
GitHub ActionsPrometheusGrafanaOpenTelemetryEKSGKEAKSCDN ConfigurationsSSO SystemsInfrastructure as Code
Industry Keywords
Distributed SystemsProduction IncidentsPost-MortemsLoggingMonitoringTracingAlertingResource OptimizationMachine Learning FrameworksLarge-Scale Databases
Tech Stack
Tools & technologiesAWSCloudDistributed SystemsDockerGrafanaKubernetesPrometheusPythonTerraform
About the role
Key responsibilities & impact- Design, implement, and maintain scalable cloud infrastructure
- Establish and manage CI/CD pipelines for reliable software deployment
- Manage Kubernetes services and troubleshoot cluster failures
- Optimise performance across distributed systems
- Handle production incidents and conduct post-mortems
- Identify root causes and improve reliability processes
- Implement and improve logging, monitoring, tracing, and alerting
- Monitor infrastructure resource usage and optimise cloud efficiency
- Manage global CDN configurations
- Maintain SSO systems, databases, backups, and recovery processes
- Support development, staging, and production environments
- Automate infrastructure and operational processes using scripts and Infrastructure as Code
- Collaborate with Backend, Product, and Engineering teams across multiple products
Requirements
What you’ll need- Strong hands-on experience with AWS and cloud architecture and operations
- Strong knowledge of Kubernetes and Docker, including production-grade cluster management
- Experience with managed Kubernetes platforms such as EKS, GKE, or AKS
- Advanced experience with Terraform, Helm, and Git
- Hands-on experience implementing and maintaining GitHub Actions for CI/CD pipelines
- Experience with Prometheus, Grafana, and OpenTelemetry
- Ability to automate system and deployment tasks using Python and Bash
- Strong troubleshooting skills and experience with distributed production systems
- Experience using AI-assisted development tools such as Claude, Cursor, GitHub Copilot, ChatGPT, Codex, or similar
- Hands-on experience managing API gateways for high-traffic applications
- Experience with machine learning projects, including deploying, monitoring, and scaling ML workloads
- Familiarity with machine learning platforms, frameworks, or libraries
- Experience in a DBA role, including managing, maintaining, and optimising large-scale databases
Benefits
Comp & perks- Company-provided medical expense compensation
- AI subscription and other tools
- Flexible paid time off
- 21 days of annual leave
- 10 bank holidays
- Global remote work
- Collaborative culture