Immediate need for a talented Senior System- Devops Engineer. This is a 12+ months contract opportunity with long-term potential and is located in U.S(Remote). Please review the job description below and contact me ASAP if you are interested.
Job ID: 26-35067
Pay Range: $55/hr - $60/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Responsibilities:
Note: Trunk-Based Development (TBD) skill is required
- Design, develop, integrate, automate, and support complex enterprise systems and technology solutions.
- Build and maintain the automation foundation for system engineering, including standardized workflows, pipelines, infrastructure automation, system validation, monitoring, and deployment processes.
- Develop and manage GitHub Actions workflows to automate build, test, security scanning, deployment, configuration, and operational processes.
- Establish reusable CI/CD frameworks and engineering patterns to standardize software and system deployments across environments.
- Implement and manage SonarQube for continuous code-quality analysis, quality gates, technical debt management, and identification of security vulnerabilities and code issues.
- Design, deploy, configure, and support Kubernetes environments and workloads.
- Develop Kubernetes manifests, Helm charts, deployment configurations, and automation required to deploy and manage enterprise applications and services.
- Implement containerization and orchestration strategies using Docker and Kubernetes.
- Integrate GitHub Actions with Kubernetes, cloud platforms, security tools, SonarQube, artifact repositories, and other enterprise engineering tools.
- Automate system provisioning, configuration management, application deployment, testing, monitoring, and operational activities.
- Analyze business and technical requirements and translate them into scalable system architectures and technical solutions.
- Lead system design activities, including architecture, interfaces, integrations, dependencies, data flows, infrastructure components, and deployment patterns.
- Evaluate existing systems and identify opportunities for automation, modernization, optimization, standardization, and improved reliability.
- Integrate applications, databases, APIs, infrastructure, cloud platforms, Kubernetes environments, and third-party systems.
- Troubleshoot complex production issues and perform root-cause analysis across applications, infrastructure, integrations, containers, Kubernetes environments, and system components.
- Monitor system performance, availability, capacity, security, and reliability and implement appropriate improvements.
- Establish automated monitoring, logging, alerting, and health-check mechanisms.
- Develop and maintain system documentation, architecture diagrams, technical specifications, deployment procedures, automation standards, and operational documentation.
- Collaborate with software developers, DevOps engineers, cloud engineers, infrastructure teams, security teams, architects, and business stakeholders to resolve technical issues and deliver solutions.
- Support system implementations, upgrades, migrations, enhancements, and technology modernization initiatives.
- Develop reusable automation frameworks and tools to improve system reliability, engineering productivity, and operational efficiency.
- Ensure solutions comply with enterprise security, quality, compliance, availability, scalability, and performance standards.
- Participate in technical reviews, architecture discussions, engineering standards reviews, and design governance.
- Identify technical risks, dependencies, bottlenecks, and potential failure points and develop mitigation strategies.
- Work with vendors and technology partners to evaluate solutions, resolve technical issues, and coordinate implementations.
- Provide technical leadership and mentorship to engineering and development teams.
- Support incident, problem, and change-management processes and participate in production support activities when required.
- Continuously improve engineering processes by identifying opportunities for automation, standardization, self-service, and reduction of manual activities.
Key Requirements and Technology Experience:
- Key Skills:Senior Systems Engineering | System Engineering Automation | GitHub | GitHub Actions | SonarQube | Kubernetes | Docker | CI/CD | DevOps | DevSecOps | Cloud | AWS | Azure | Terraform | Infrastructure as Code | Helm | Python | Bash | PowerShell | REST APIs | Microservices | System Integration | Enterprise Architecture | Monitoring | Observability | Troubleshooting | Root Cause Analysis | Performance Optimization | Security | System Modernization | Technical Leadership
- DevOps & Automation
- Strong hands-on experience with GitHub and GitHub Actions.
- Experience designing and implementing CI/CD pipelines and reusable workflow templates.
- Experience automating build, test, deployment, validation, and operational processes.
- Strong understanding of DevOps and Infrastructure-as-Code principles.
- Experience with scripting and automation using Python, PowerShell, Bash, or similar technologies.
- Code Quality & Security
- Hands-on experience with SonarQube and SonarQube quality gates.
- Experience integrating code-quality and security scanning into CI/CD pipelines.
- Understanding static code analysis, vulnerability identification, code coverage, and technical debt management.
- Kubernetes & Containers
- Strong hands-on experience with Kubernetes.
- Experience deploying, configuring, scaling, and troubleshooting Kubernetes workloads.
- Experience with Docker/containerization.
- Experience with Kubernetes manifests, Helm charts, namespaces, services, ingress, secrets, config maps, deployments, and related components.
- Experience integrating Kubernetes deployments with CI/CD pipelines.
- Cloud & Infrastructure
- Experience with AWS, Azure, or GCP.
- Understanding of cloud infrastructure, networking, compute, storage, security, and identity/access management.
- Experience with Terraform or other Infrastructure-as-Code technologies.
- Understanding of cloud-native architecture and distributed systems.
- Systems & Integration
- Strong understanding of enterprise system architecture and system integration patterns.
- Experience with REST APIs, web services, microservices, databases, and distributed systems.
- Strong troubleshooting and root-cause analysis capabilities.
- Experience with system monitoring, logging, observability, and performance optimization.
- Understanding of networking, operating systems, infrastructure, and enterprise security.
- Experience building an automated system-engineering platform or engineering automation framework.
- Experience creating reusable GitHub Actions and enterprise CI/CD templates.
- Experience with Kubernetes platform engineering or Kubernetes administration.
- Experience with Helm, Argo CD, Flux, or other Kubernetes deployment technologies.
- Experience with Terraform, Ansible, or other automation/configuration-management tools.
- Experience with observability platforms such as Splunk, Grafana, Dynatrace, Prometheus, or similar tools.
- Experience with artifact repositories such as JFrog Artifactory or Nexus.
- Experience with cloud-native application modernization and migration.
- Experience with enterprise security, vulnerability management, and DevSecOps.
- Experience with Java, .NET/C#, Python, or other enterprise programming languages.
- Experience with SQL and relational/non-relational databases.
- Experience working in large global enterprise environments.
- Familiarity with AI/ML, GenAI, or intelligent automation is a plus.
- Technical expertise on Github, actions, SonarQube, Kubernetes to create foundation to automate system engineering which comprise below:
Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
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