Job Requisition ID: ***** Training and development to build your skills and career - at Deloitte we believe in investing in our best assets, our people
You will have access to world class training and funding towards industry and other professional certifications Flexible work arrangements - work in a way that suits you best Rewards platform - your hard work won't go unnoticed at Deloitte What will your typical day look like?
The Systems/DevOps Engineer will be a key member of our team.
This role bridges the gap between development and operations, ensuring seamless integration and delivery of software through automation and continuous deployment practices You will be responsible for optimize system performance, enhance security, and collaborate across teams to streamline workflows, reduce downtime, and accelerate development cycles.
Further responsibilities include: Continuous Integration/Continuous Deployment (CI/CD): Designing, implementing, and maintaining CI/CD pipelines to automate software deployment.
Infrastructure Management: Provisioning, configuring, and managing cloud infrastructure using tools like Terraform, or Kubernetes.
Monitoring and Logging: Setting up and managing monitoring and logging systems to ensure system health and performance using enterprise tools.
Automation: Automating repetitive tasks and processes to improve efficiency and reduce manual intervention.
Collaboration: Working closely with development, QA, and operations teams to ensure smooth software delivery and deployment processes.
Security: Implementing security best practices and ensuring compliance with security policies, including managing secrets and credentials.
Experience across various cloud providers including Azure, AWS, and GCP Key Accountabilities: Deployment Frequency: High frequency of successful deployments indicating efficient CI/CD pipelines.
Deployment Time: Reduced time to deploy new features or updates, demonstrating streamlined processes.
System Uptime: High system availability with minimal downtime or disruptions.
System Performance: Enhanced performance metrics, such as faster application response times and improved resource utilization.
Automation Coverage: Increased percentage of automated tasks, leading to fewer manual interventions and errors.
Error Rate: Low failure rate in deployments and fewer post-deployment issues.
Security Compliance: Adherence to security standards and successful prevention of security incidents.
Enough about us, let's talk about you.
A minimum of 3-5 years professional experience as a Systems Engineer, preferably with a focus on Generative AI Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field is preferrable Experience with platform and software development, release management in a mature managed services environment Cloud technologies and platforms such as Azure or Amazon AWS UNIX/Linux deployment and configuration management TCP/IP networking, databases, messaging and security Knowledge of and experience with DevOps tools and techniques, such as Infrastructure as Code and Immutable Infrastructure Experience with CI/CD tools such as GitHub, ADO, ArgoCD and DevSecOps technologies Experience with writing Infrastructure as Code using Terraform.
Security protocols such as OAuth, SAML or OpenID Connect Must have an ability to effectively communicate and work with people with a diverse range of skills and experience