Design, implement, and maintain scalable AWS infrastructure; automate deployments and configuration; monitor and troubleshoot production systems; collaborate with development teams for smooth feature rollouts; improve infrastructure and application security; stay current with AWS and DevOps best practices.
This is a remote position.
Our client is seeking a highly experienced Senior DevOps Engineer with a strong background in AWS to join our team. The ideal candidate will have a proven track record of building and maintaining scalable, high-performance infrastructure and applications.
Key Responsibilities:
- Design, implement, and maintain infrastructure and applications in AWS
- Automate and optimize deployment processes
- Monitor and troubleshoot production systems
- Collaborate with development teams to ensure smooth deployment of new features
- Continuously improve infrastructure and application security
- Stay up-to-date with new technologies and best practices in AWS and DevOps
Qualifications:
- 5+ years of experience in a DevOps or similar role
- Strong experience with AWS and its services
- Experience with automation and configuration management tools (e.g. Terraform, Ansible)
- Strong understanding of containerization and orchestration (e.g. Docker, Kubernetes)
- Strong understanding of Linux/Unix systems
- Experience with monitoring and logging tools (e.g. Prometheus, ELK)
- Strong scripting skills (e.g. Bash, Python)
- Strong understanding of security best practices
- Strong communication and collaboration skills
Education:
- Bachelor's degree in Computer Science, Computer Engineering or related field or equivalent experience.
Similar Jobs
Consulting
Design, automate, and manage AWS infrastructure using Terraform; build CI/CD pipelines with Jenkins, Git, and Docker; operate container workloads on ECS; implement monitoring (Splunk, Zabbix, AppDynamics); ensure security/compliance (NIST, CIS, FedRAMP/FISMA); participate in on-call support, incident response, and cross-team documentation for federal stakeholders.
Top Skills:
AppdynamicsAWSBackstageBashCisDockerEcsFedrampFismaGitGroovyIso 27000JenkinsNistPythonServicenowSplunkTerraformYamlZabbixZero-Trust
Hospitality
Lead and mature AWS platform operations and DevOps practices, automate infrastructure and deployments, migrate complex workloads to AWS, design Kubernetes and serverless solutions, integrate AI/ML platform capabilities, troubleshoot complex systems, and coach teams while upholding organizational faith and child protection commitments.
Top Skills:
Ai/MlAWSAws LambdaAws LatticeCi/Cd PipelinesInfrastructure As CodeKubernetesLanding Zone Accelerator (Lza)PythonServerless
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Develop novel AI/ML solutions for healthcare using structured and unstructured data. Build agentic, generative AI, deep learning, and traditional machine learning systems in distributed environments. Design experiments, perform statistical analysis, create visualizations, communicate findings, support responsible AI compliance, document models, and collaborate on MLOps, LLMOps, and data pipelines.
Top Skills:
Agentic Ai FrameworksDistributed ComputingGitLlmopsLlmsMlopsPythonPyTorchRelational DatabasesSnowflakeSparkTensorFlow
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory


