Senior DevOps Engineer

Work with Engineering to create Proof of Concepts, define AWS elements to be used based on business requirements.
Analyze and present comparison of multiple AWS solutions, non-AWS alternatives to executives - for final decision making.
Responsible for building and setting up new development tools and infrastructure utilizing knowledge in continuous integration, delivery, and deployment (CI/CD), Cloud technologies, Container Orchestration and Security. Build and test end-to-end CI/CD pipelines, ensuring that systems are safe against security threats.
In depth expertise with the Kubernetes stack Operators, CRDs, Policies, TLS.

• Kubernetes Application Developer
• Cloud Computing (AWS)
• EKS, Fargate, ECS, ECR, Lambda, Helm
• CI/CD Pipeline design (AWS Code pipeline, Code Deploy) CKA
• Expertise in API integration and development

• Infrastructure Automation and Management:

  • Infrastructure as Code (IaC): Design and implement automated infrastructure provisioning and management using IaC tools like Terraform, Ansible, Chef, or Puppet.
  • Configuration Management: Use automation tools to ensure consistent configuration management across environments and ensure system reliability.
  • Containerization and Orchestration: Manage and scale containerized applications using Docker, Kubernetes, or other container orchestration platforms. Automate the deployment of containers to ensure scalable and reliable environments.
  • Cloud Infrastructure: Manage cloud infrastructure (AWS, Azure, GCP) and utilize cloud-native services to optimize cost, performance, and availability.

• Monitoring and Logging:

  • System Monitoring: Implement monitoring solutions using tools like Prometheus, Nagios, Datadog, Zabbix, or New Relic to track system performance and application health.
  • Log Management: Use centralized logging solutions like ELK Stack (Elasticsearch, Logstash, Kibana) or Splunk to collect, analyze, and visualize logs for system troubleshooting, performance optimization, and security monitoring.
  • Alerting and Incident Management: Set up alerting systems and respond proactively to issues by using tools like PagerDuty, Opsgenie, or VictorOps to reduce downtime and enhance system reliability.

• Collaboration and Communication:

  • Cross-Functional Collaboration: Collaborate with development, operations, and QA teams to ensure efficient software delivery pipelines, smooth infrastructure management, and alignment of goals and processes.
  • Mentorship and Leadership: Provide mentorship to junior DevOps engineers and promote best practices in automation, CI/CD, and system administration.
  • Stakeholder Communication: Act as a liaison between different technical teams and non-technical stakeholders to communicate DevOps strategies, progress, and challenges.

• Performance Optimization:

  • System Tuning and Optimization: Continuously monitor and improve system performance, ensuring that infrastructure, applications, and services are running optimally. Work on reducing latency, improving throughput, and scaling systems as needed.
  • Cost Optimization: Work with cloud providers and teams to optimize costs by selecting the right resources, optimizing workloads, and leveraging appropriate services and automation tools to manage usage efficiently.

• Security and Compliance:

  • Security Automation: Integrate security practices into the CI/CD pipeline and ensure that security measures are automated. Use tools like Vault, OWASP, and SonarQube for vulnerability scanning and compliance checks.
  • Access Control and IAM: Implement secure access control policies using Identity and Access Management (IAM) tools, ensure that least privilege principles are followed, and manage permissions effectively.
  • Compliance and Auditing: Ensure that infrastructure and deployment pipelines adhere to security policies and compliance requirements (e.g., GDPR, HIPAA, PCI-DSS).

• Technical Skills:

  • CI/CD Tools: Proficiency with Jenkins, GitLab CI, CircleCI, Travis CI, or similar tools for continuous integration and deployment.
  • Cloud Platforms: Expertise in cloud computing platforms like AWS, Microsoft Azure, or Google Cloud Platform (GCP), and experience with their associated services.
  • Containerization and Orchestration: Experience with Docker, Kubernetes, OpenShift, or similar tools for container orchestration.
  • Infrastructure as Code (IaC): Strong knowledge of IaC tools like Terraform, CloudFormation, Ansible, or Puppet.
  • Scripting and Automation: Proficiency in scripting languages such as Python, Bash, or Ruby for automating processes and managing infrastructure.
  • Monitoring and Logging: Experience with tools like Prometheus, Grafana, Datadog, Splunk, and ELK Stack to monitor system performance and manage logs.

• Security Skills:

  • Security Best Practices: Familiarity with integrating security into DevOps processes, including vulnerability scanning, secure coding practices, and compliance monitoring.
  • Identity and Access Management (IAM): Experience with managing access controls and ensuring the security of cloud and on-prem systems.

• Problem-Solving and Troubleshooting:

  • Ability to diagnose and resolve complex issues in large-scale distributed systems.
  • Proficient in troubleshooting at various levels (infrastructure, application, network, and services).

• Collaboration and Communication:

  • Ability to work closely with cross-functional teams, communicate technical concepts to non-technical stakeholders, and mentor junior engineers.
  • Strong communication skills to ensure transparency and maintain alignment across teams.

• Performance Optimization:

  • Ability to assess system performance, troubleshoot bottlenecks, and implement solutions for optimization.

• Leadership and Mentorship:

  • Leading and mentoring DevOps teams, establishing best practices, and driving the adoption of new tools and processes.

Tools and Technologies Used by Senior DevOps Engineers:

• CI/CD and Automation Tools:

  • Jenkins, GitLab CI, CircleCI, Travis CI, Azure DevOps for automating builds, tests, and deployments.
  • Terraform, Ansible, Chef, Puppet for infrastructure automation and configuration management.

• Cloud Platforms and Services:

  • AWS, Azure, Google Cloud for cloud infrastructure management.
  • CloudFormation (AWS), ARM Templates (Azure) for infrastructure as code in the cloud.

• Containerization and Orchestration:

  • Docker for creating containerized applications.
  • Kubernetes, OpenShift for container orchestration, scaling, and management.

• Monitoring and Logging:

  • Prometheus, Grafana, Datadog for monitoring.
  • ELK Stack (Elasticsearch, Logstash, Kibana), Splunk for log management.

• Version Control:

  • Git, GitHub, GitLab, Bitbucket for version control.

• Security and Compliance:

  • Vault, SonarQube, OWASP for securing the CI/CD pipeline and code scanning.
  • IAM tools in cloud platforms like AWS IAM, Azure AD.

• Networking and Load Balancing:

  • HAProxy, Nginx, Traefik for load balancing and reverse proxy configurations.

• Incident Management:

  • PagerDuty, Opsgenie, VictorOps for alerting and incident management.