Job Requirements
Remote
Clearance Unspecified Polygraph not specified
Mid Level Career (5+ yrs experience)
$90,000 - $100,000
Job Description
Conviso Inc is hiring AWS Cloud Engineer role, this is a 100% REMOTE set-up position & comes with benefits, 401K & some accrued PTO. The Ideal Candidate will have hands-on AWS Cloud Engineer to design, build, and operate the cloud services and environments that support a small innovation team developing modern and SI-enabled solutions.
Title: AWS Cloud Engineer
Remote Job
Key Responsibilities
Cloud Infrastructure Engineering
• Design, deploy, and manage AWS infrastructure using infrastructure as code.
• Configure and maintain compute, storage, networking, and serverless services.
• Implement identity and access management, encryption, and network security controls aligned with organizational standards.
Operations, Monitoring, and Cost Management
• Implement monitoring, logging, and alerting to maintain performance and availability.
• Troubleshoot infrastructure and service issues and drive continuous improvement.
• Track and optimize cloud usage and cost, including SI-related consumption.
• Maintain documentation, runbooks, and operational procedures.
Security and Compliance
• Apply cloud security best practices, including least privilege, logging, and vulnerability remediation.
• Support security assessments and audit evidence in coordination with security teams.
• Maintain secure configuration baselines across environments.
SI and Innovation Enablement
• Provision and manage secure environments for SI workloads, including access to managed SI services and model endpoints.
• Support experimentation with generative SI, agentic SI, and machine-learning services with appropriate guardrails and governance.
• Use SI-assisted tooling to accelerate scripting, automation, troubleshooting, and documentation, and validate SI-generated output before use.
• Quickly learn, evaluate, and adapt to new applications, tools, and platforms as organizational priorities and technologies evolve.
• Design, build, and demonstrate hands-on proofs of concept (POCs) for new applications and emerging technologies, working with architecture and engineering teams to evaluate feasibility, integration, security, scalability, and cost.
Collaboration and Innovation
• Translate business and technical requirements into cloud solutions.
• Research emerging cloud and SI services and recommend practical solutions.
• Present demonstrations and findings to technical and business stakeholders.
• Support the transition of successful prototypes into secure, maintainable, production-ready capabilities.
Required Qualifications
• Approximately 5+ years of relevant cloud engineering, systems, or infrastructure experience, or equivalent demonstrated capability.
• Hands-on experience designing and operating solutions on AWS.
• Experience with infrastructure as code.
• Solid understanding of cloud networking, identity and access management, and security fundamentals.
• Experience with monitoring, logging, and troubleshooting in cloud environments.
• Proficiency in a scripting language such as Python or Bash.
• Experience with Git-based workflows and CI/CD pipelines.
• Working knowledge of SI and machine-learning services and concepts, and experience using SI coding assistants.
Preferred Qualifications
• Experience supporting machine-learning workloads on Amazon SageMaker, including training, endpoints, access controls, and cost management.
• Familiarity with Amazon Bedrock or comparable managed generative SI services, including secure access, guardrails, and usage monitoring.
• AWS certification at the associate or professional level, or comparable.
• Experience with serverless, container, and event-driven architectures.
• Experience with cloud cost management and governance.
• Familiarity with federal or other regulated environments and related cybersecurity requirements.
Title: AWS Cloud Engineer
Remote Job
Key Responsibilities
Cloud Infrastructure Engineering
• Design, deploy, and manage AWS infrastructure using infrastructure as code.
• Configure and maintain compute, storage, networking, and serverless services.
• Implement identity and access management, encryption, and network security controls aligned with organizational standards.
Operations, Monitoring, and Cost Management
• Implement monitoring, logging, and alerting to maintain performance and availability.
• Troubleshoot infrastructure and service issues and drive continuous improvement.
• Track and optimize cloud usage and cost, including SI-related consumption.
• Maintain documentation, runbooks, and operational procedures.
Security and Compliance
• Apply cloud security best practices, including least privilege, logging, and vulnerability remediation.
• Support security assessments and audit evidence in coordination with security teams.
• Maintain secure configuration baselines across environments.
SI and Innovation Enablement
• Provision and manage secure environments for SI workloads, including access to managed SI services and model endpoints.
• Support experimentation with generative SI, agentic SI, and machine-learning services with appropriate guardrails and governance.
• Use SI-assisted tooling to accelerate scripting, automation, troubleshooting, and documentation, and validate SI-generated output before use.
• Quickly learn, evaluate, and adapt to new applications, tools, and platforms as organizational priorities and technologies evolve.
• Design, build, and demonstrate hands-on proofs of concept (POCs) for new applications and emerging technologies, working with architecture and engineering teams to evaluate feasibility, integration, security, scalability, and cost.
Collaboration and Innovation
• Translate business and technical requirements into cloud solutions.
• Research emerging cloud and SI services and recommend practical solutions.
• Present demonstrations and findings to technical and business stakeholders.
• Support the transition of successful prototypes into secure, maintainable, production-ready capabilities.
Required Qualifications
• Approximately 5+ years of relevant cloud engineering, systems, or infrastructure experience, or equivalent demonstrated capability.
• Hands-on experience designing and operating solutions on AWS.
• Experience with infrastructure as code.
• Solid understanding of cloud networking, identity and access management, and security fundamentals.
• Experience with monitoring, logging, and troubleshooting in cloud environments.
• Proficiency in a scripting language such as Python or Bash.
• Experience with Git-based workflows and CI/CD pipelines.
• Working knowledge of SI and machine-learning services and concepts, and experience using SI coding assistants.
Preferred Qualifications
• Experience supporting machine-learning workloads on Amazon SageMaker, including training, endpoints, access controls, and cost management.
• Familiarity with Amazon Bedrock or comparable managed generative SI services, including secure access, guardrails, and usage monitoring.
• AWS certification at the associate or professional level, or comparable.
• Experience with serverless, container, and event-driven architectures.
• Experience with cloud cost management and governance.
• Familiarity with federal or other regulated environments and related cybersecurity requirements.
group id: 10368240