Cloud DevOps 4

KBR, Inc.•Sioux Falls, SD

About The Position

Lead the modernization and migration of legacy applications to cloud‑native architectures—primarily on AWS—while building and operating secure, scalable, and cost‑effective platforms. This is a hands‑on technical role: you will own automation (IaC, CI/CD), container platforms, observability, compliance guardrails, and developer enablement. Partner closely with Enterprise/Solutions Architecture to set cloud adoption roadmaps, governance, and standards that drive business outcomes.

Requirements

Bachelor’s in Computer Science, Information Technology, or related field.
10+ years progressive experience in cloud engineering/DevOps/enterprise architecture, with strong AWS emphasis.
5+ years implementing DevOps practices (CI/CD, containerization, automation) and operating in regulated environments (FedRAMP Moderate or equivalent).
Technical depth: IaC with Terraform or AWS CDK; configuration management (Ansible/Chef/Puppet); scripting (Python/Bash/PowerShell); AWS security and network controls.
Demonstrated experience using Generative AI tools/agents to improve developer efficiency and operational workflows.
An AWS Associate‑level certification (e.g., Solutions Architect or SysOps Administrator).
Three years of continuous U.S. residency required.
Equivalent education and/or experience will be considered.

Nice To Haves

Master’s in Computer Science, Information Technology, or related field.
Engineering/deploying public sector or compliance‑driven solutions.
Hands‑on ownership of GitLab‑based CI/CD at scale (runners administration, pipeline orchestration, environment promotion).
Building GitOps patterns (e.g., ArgoCD/Flux) and service mesh/WAF integrations for secure microservices delivery.
AWS Solutions Architect – Professional; AWS Specialty (Security, Advanced Networking); Terraform Associate.

Responsibilities

Lead migration and modernization of mission‑critical legacy applications to AWS, establishing cloud‑first patterns that maximize scalability, reliability, and cost efficiency.
Define and enforce platform governance, security, and performance standards with Enterprise/Solutions Architecture and application teams.
Translate business needs into secure, efficient, cloud‑native solutions and drive transformation projects from concept through completion.
Design, develop, and operate AWS environments using Terraform and/or AWS CDK/CloudFormation; build reusable modules, manage state, and enforce standards.
Automate provisioning, monitoring, auditing, and de‑provisioning using Ansible and scripting in Python, Bash/Shell, or PowerShell.
Engineer solutions leveraging S3, CloudFront, EKS, Lambda, Aurora Serverless, and AWS Batch as appropriate for product needs.
Own CI/CD using GitLab and GitLab Runners for build/test/deploy workflows across environments.
Implement staged deployments (blue/green, canary) and automated rollbacks to improve release reliability and speed.
Maintain branch strategies, approvals, environment promotion, and artifact management aligned to governance standards.
Develop and operate platforms in accordance with FedRAMP and FISMA standards, incorporating AWS security controls into all aspects of infrastructure, deployment pipelines, monitoring, and daily operations.
Establish robust guardrails for identity management, secret protection, logging, auditing, and change control to meet compliance requirements.
Work collaboratively with security leadership and auditors to ensure ongoing compliance, efficient evidence collection, and thorough mapping of all controls within FedRAMP and FISMA frameworks.
Develop tooling for monitoring, logging, and alerting; create runbooks and lead troubleshooting and incident response for core business applications.
Partner with architects/engineers to design networks, systems, and storage that meet security requirements and SLO/SLAs.
Drive resilience through autoscaling, health checks, fault isolation, and disaster recovery strategies.
Incorporate FinOps principles—tagging standards, show back/chargeback readiness, rightsizing, commitment management—to maintain performance and reduce waste.
Present recommendations for savings and cost accountability to leadership and product teams.
Establish dashboards and operating cadences for spend visibility, anomaly detection, and optimization actions.
Leverage Generative AI tools and agents (e.g., code assistants, pipeline bots, automated test generation, chat agents for runbooks) to increase developer productivity, reduce toil, accelerate documentation, and improve incident response playbooks.
Design guardrails for responsible AI use (data handling, prompt hygiene, secret redaction) and track outcomes (cycle‑time reduction, fewer manual steps, faster RCA).
Mentor junior engineers; foster a culture of continuous learning and collaboration across cross‑functional teams.
Align modernization decisions to business outcomes; communicate trade‑offs and technical risks clearly to stakeholders and senior leadership.