Software Development Analyst at Northrop Grumman supporting Product Lifecycle Management systems. Collaborating across functional teams while providing user support in a technology - driven environment.
About the role
- Cloud Engineer specializing in AWS architecture, implementing IaC and supporting multicloud strategies. Collaborating on CI/CD practices and mentoring within the Cloud team.
Responsibilities
- Serve as a technical reference for Cloud architecture, with a focus on AWS.
- Implement and evolve Infrastructure as Code (IaC) using Terraform/AWS AFT.
- Support a multicloud strategy (Azure and GCP as differentiators).
- Ensure software lifecycle best practices, with emphasis on Kubernetes, containers, and serverless.
- Lead CI/CD and GitOps practices in critical, high-availability environments.
- Develop scripts and automation using Python and Bash.
- Work on observability and monitoring (Datadog is a plus, alongside Grafana, Prometheus, and Zabbix).
- Provide technical mentorship and support talent development within the Cloud team.
- Lead and participate in technical forums, promoting architecture best practices.
- Collaborate and influence Security, Networking, Access Management/IAM, and FinOps backlogs to ensure architectural alignment and strategic prioritization.
- Support the innovation agenda by proposing new solutions and approaches.
Requirements
- AWS foundational certifications (at least one of the following):
- AWS Certified Cloud Practitioner (CLF-C02)
- AWS Solutions Architect – Associate (SAA-C03)
- AWS Developer – Associate (DVA-C02)
- AWS SysOps Administrator – Associate (SOA-C02)
- Strong hands-on experience with AWS in production environments.
- Proficiency in Terraform (AFT) and IaC practices.
- Advanced knowledge of Kubernetes.
- Experience with CI/CD and GitOps.
- Practical experience with Linux and Windows Server.
- Programming/scripting in Python and Bash.
- Experience with containers and serverless architectures.
- Clear understanding of end-to-end cloud operations.
- AWS Solutions Architect – Professional certification.
- Experience with Azure and GCP.
- Experience with Datadog in complex environments.
- Ability to effectively use AI productivity tools such as GitHub Copilot, Cursor, ChatGPT, and other generative AI integrated into the development and operations lifecycle.
Benefits
- Profit sharing
- Food allowance
- Meal voucher
- Health insurance
- Dental insurance
- Gympass
- Private pension plan
- Transportation allowance
- Allya
- Unlimited access to a wide range of courses from our Localiza University
- Internal training and development programs
- Discounts on vehicle purchases and rentals
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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