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Cloud DevOps

Job in Sioux Falls, Minnehaha County, South Dakota, 57102, USA
Listing for: KBR Careers
Full Time position
Listed on 2026-07-08
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, AWS, SRE/Site Reliability
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Cloud DevOps 4

Cloud Dev Ops 4

BELONG. CONNECT. GROW. with K .

Around here, we define the future. We are a company of innovators, thinkers, creators, explorers, volunteers, and dreamers. But we all share one goal: to improve the world responsibly and safely.

Role Summary

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.

Responsibilities Cloud Modernization & Architecture
  • 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.
Dev Ops Engineering & Automation
  • Infrastructure as Code (IaC):
    Design, develop, and operate AWS environments using Terraform and/or AWS CDK/Cloud Formation; build reusable modules, manage state, and enforce standards.
  • Configuration management & scripting:
    Automate provisioning, monitoring, auditing, and de‑provisioning using Ansible and scripting in Python, Bash/Shell, or Power Shell.
  • Core AWS services:
    Engineer solutions leveraging S3, Cloud Front, EKS, Lambda, Aurora Serverless, and AWS Batch as appropriate for product needs.
CI/CD (Git Lab by Default)
  • Own CI/CD using Git Lab and Git Lab 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.
Security, Compliance & Governance
  • 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.
Observability, Reliability & Operations
  • 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.
Fin Ops & Cost Optimization
  • Incorporate Fin Ops 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.
AI-Augmented Engineering (Generative AI)
  • 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).
Leadership & Collaboration
  • 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…
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