AWS Cloud Platform Engineer Lead

Job Title

Pay Range $82.12hr - $87.12hr

• Bachelor's Degree in Information Technology or Computer Science.
• 8 years proven success overseeing the design, development, and implementation of software systems and applications.
• In lieu of a bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.
• Minimum of 10 years of IT experience of which at least 5 years must be in AWS Cloud Platform engineering and Administration.
• Strong Leadership experience with driving Transformation initiatives.
• 3-5 years of experience in a Site Reliability Engineering role.
• Experience with SRE principles and transformation.
• 3+ years of experience with Containerization (Kubernetes), Cloud technologies (AWS, Azure etc.), Dev Ops tool chain (Ansible, Jenkins, Artifactory, bitbucket, etc.), and technical patterns (IaC, Automated Provisioning/Release, CI/CD, etc.).
• Solid understanding of Software coding techniques and experience with full spectrum of Software engineering (Build, Integration, Test, Releasing and Deployment) leveraging Python.
• Experience in Developing and/or challenging engineering solutions/practices and collaborating with peers within and outside of immediate team, including customers (Dev, Architects, Engineers).
• Minimum of One AWS certification is required.

• Installs, tunes, upgrades, troubleshoots, and maintains all computer systems relevant to the supported applications including all necessary tasks to perform operating system administration, user account management, disaster recovery strategy and networking configuration.
• Develop and implement techniques to prevent system problems, troubleshoots incidents to recover services, and support the root cause analysis.
• Evaluates new systems by performing in-depth tests, including end-user reviews. Researches software and related products to support recommendations and purchasing. Determines systems integration issues by evaluating components; developing and completing performance tests; analyzing test data; studying project requirements; analyzing user and potential user input; evaluating similar and related products and systems. Develop system automation and system integration of business processes.
• Improves engineering job knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies.
• Acts as a mentor for junior and senior team members.

• Development:
  Experience programming with one or more languages:
  Python, Java, Groovy, Go, etc.
• IAC Tools for Platform Automation:
  Strong skills and experience in at least one:
  Ansible, Terraform, AWS Cloud formation, CDK.
• Containers:
  Docker or other OCI-certified containers.
• Container Orchestration Platform:
  Experience with Kubernetes, AWS EKS, AWS ECS.
• CNI Plugins:
  Calico, Flannel, Weave Net.
• Service Mesh:
  Istio, AWS App Mesh, Open Shift Service Mesh.
• Container Security Tools:
  Twistlock, Sysdig, Aqua.
• Platform Monitoring, Observability, & Performance Tools:
  Nginx, New Relic, App Dynamics, Data Dog, Thanos, Jaeger, LogDNA.
• Dev Ops Tools:
  Git/Repo, Crucible, Bitbucket, Jira, Ansible, Puppet, Jenkins, ArgoCD, Bamboo, Maven, Artifactory, Nexus.

• 10+ years of overall experience in IT including hands-on Development and Systems engineering background.
• Bachelor’s degree in computer science, Information Technology, or related field; master’s degree preferred.
• 5-10 years of experience in cloud engineering and automation, with a focus on AWS cloud services.
• Minimum of 8-10 years of IT experience of which at least 5 years must be in AWS Cloud Automation and Administration.
• 3-5 years of experience in a Site Reliability Engineering role.
• 3+ years of experience with implementation of Containerization (Kubernetes), Cloud technologies (AWS, Azure, or Google, etc.), Dev Ops tool chain (Jenkins, Artifactory, bitbucket, etc.), and technical patterns (IaC, Automated Provisioning/Release, CI/CD, etc.).
• In-depth knowledge of AWS services and solutions, including but not limited to EC2, S3, RDS, Lambda, VPC, IAM, Cloud Formation, and Cloud Watch.
• Strong understanding of cloud architecture principles, design patterns, and best practices for building scalable, resilient, and secure cloud environments.
• Proficiency in infrastructure as code (IaC) tools such as Terraform or AWS Cloud Formation.
• Exposure to Artificial intelligence patterns, Machine Learning and engineering of AWS solutions.