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DevOps Jobs in Atlanta, GA

DevOps Engineer 4

LanceSoft Inc

Atlanta, GA

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JOB DETAILS
SALARY
$70–$77.14 Per Hour
SKILLS
Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Automation, Best Practices, Cloud Architecture, Cloud Computing, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Cost Analysis, Cost Control, Cryptography, DevOps, GCP (Good Clinical Practices), Identify Issues, Information Technology & Information Systems, Management Strategy, Metrics, Microsoft Windows Azure, Multiplatform/Cross-Platform, Performance Analysis, Performance Modeling, Production Control, Production Support, Production Systems, Reliability Engineering, Scalable System Development, Security Architecture, Software Engineering, System Operations, Systems Reliability, Technical Support
LOCATION
Atlanta, GA
POSTED
1 day ago
Job Title: DevOps Engineer 4
Location: Atlanta GA 30308
Duration: 7/27/2026 – 1/4/2027
Pay Rate: $77.14/hr
Shift Timings: 1st shift
 
Job Description
Seeking an experienced DevOps Engineer 4 to support the AI Technology Center of Excellence (AI Technology COE). The ideal candidate will have extensive experience designing, implementing, and supporting enterprise cloud platforms, automation frameworks, infrastructure as code, AI/ML environments, and secure CI/CD pipelines.
This role focuses on building and operating scalable cloud infrastructure, enabling AI workloads, improving automation practices, implementing governance controls, and supporting production environments.
 
Key Responsibilities
  • Design, build, and maintain enterprise cloud infrastructure across platforms such as Google Cloud Platform (GCP), Azure, and Databricks.
  • Develop and manage Infrastructure as Code (IaC) solutions using tools such as Terraform and Bicep.
  • Implement and support containerized workloads using Kubernetes and related technologies.
  • Build and maintain CI/CD pipelines for application and AI/ML deployments.
  • Apply cloud architecture best practices for scalability, availability, reliability, and performance.
  • Support AI/ML/LLM platform infrastructure, including agent-based AI solutions where applicable.
  • Implement cloud security practices including IAM, encryption, secrets management, and compliance controls.
  • Embed security and governance policies into infrastructure and deployment pipelines.
  • Develop monitoring, logging, alerting, and observability solutions for cloud and AI systems.
  • Implement AI system monitoring including model performance, drift detection, reliability metrics, and operational health.
  • Support production environments, troubleshoot incidents, and improve system reliability.
  • Drive FinOps practices including cloud cost optimization, usage monitoring, and cost-performance analysis.
  • Collaborate with engineering, security, architecture, and business teams to deliver enterprise-grade solutions.
 
Education
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field preferred.
  • Equivalent combination of education and extensive professional experience may be considered.
     
Experience Requirements
  • 10+ years of experience in DevOps, Cloud Engineering, or Infrastructure Engineering.
  • Extensive experience designing and supporting cloud architecture environments.
  • Hands-on experience with GCP (preferred), Azure, or Databricks platforms.
  • Strong experience with Infrastructure as Code tools such as Terraform or Bicep.
  • Experience managing container platforms, Kubernetes, and cloud-native workloads.
  • Experience building and supporting enterprise CI/CD pipelines.
  • Experience with cloud security, IAM, encryption, secrets management, and governance.
  • Experience with monitoring and observability platforms.
  • Experience supporting production systems and operational environments.
     
Preferred / Advanced Skills
  • Experience designing multi-cloud AI infrastructure with governance controls.
  • Experience embedding security policies into IaC and deployment pipelines.
  • Knowledge of AI FinOps practices including:
  • Token usage optimization
  • AI workload cost management
  • Cost-performance tradeoffs
  • Experience with AI/ML lifecycle management and model observability.
  • Experience with LLM applications, AI agents, prompt engineering, API integrations, and orchestration frameworks.
  • Knowledge of AgentOps practices including deployment, testing, monitoring, and lifecycle management.
  • Experience designing systems for regulated environments.
 

About the Company

L

LanceSoft Inc

We are a $125 Million, NMSDC-certified Minority & Woman owned Workforce Solutions Company headquartered in the DC metro area with presence across US with global presence - Canada, Mexico, India, UK, Malaysia, Indonasia, Hongkong, Singapore, UAE. We are specialized in providing Workforce Solutions, SOW project delivery, Engineering Solutions, Creative Services. We currently support 100+ Fortune companies globally and across multiple industry segments. We are currently supporting several massive programs across industry segment nationally/globally (Intel, Ally, AMD, QUALCOMM, Morgan Stanley, Kraft/ Mondelez, MNP, Amdocs, Dell, SanDisk, Medtronic, Becton Dickinson, GE, Lockheed Martin, UTC, L-3 Communications, Caterpillar, BMW, Mercedes Benz, National Grid, Dominion, Energy Future Holdings, PSEG, 3M, Fidelity, Aetna, Humana, Johnson & Johnson, Pfizer, Merck etc). 

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, identity, national origin, disability, or protected veteran status.

COMPANY SIZE
2,000 to 2,499 employees
INDUSTRY
Staffing/Employment Agencies
FOUNDED
2000
WEBSITE
http://www.lancesoft.com/

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