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Spring Venture Group

DevOps Engineer I

Kansas City, MO, United States

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Job details

Posting language: English
Posted: Nov 10, 2026

Original job description

Company Description Summary The DevOps Engineer I supports the reliability, security, and delivery of cloud infrastructure and the systems that run Spring Venture Group's platforms. This is an entry-level DevOps position with defined scope, structured oversight, and a clear path to broader ownership. The team applies a measured, controlled approach to change. Work is peer-reviewed, automated where it improves safety, and deployed in a manner that can be audited and rolled back. About Spring Venture Group Spring Venture Group is a leader in Medicare health insurance distribution. The company helps consumers select health coverage that fits their needs and supports them in making informed decisions about their health and financial well-being. Customer trust depends on technology that performs consistently. The DevOps team designs, improves, and supports the cloud platforms and delivery systems on which internal and customer-facing applications are built.

Job Description

Position Overview The DevOps Engineer I designs, modernizes, and supports core cloud infrastructure and the pipelines used to deliver it. The position works with proprietary platforms and current third-party tools, including AI-assisted coding tools for research, drafting, and routine technical tasks. Primary focus areas are system reliability, delivery pipeline quality, and a secure operating baseline. The engineer collaborates with developers and senior DevOps engineers, operates under guidance, and assumes expanded responsibility as technical experience develops. Assignments are of limited to moderate complexity and are performed under oversight. Typical work includes improving a pipeline, implementing a backup or monitoring control, remediating a security finding, and supporting developer deployments. *Work authorization: Spring Venture Group is unable to sponsor this position now or in the future. Candidates must be a U.S. citizen or a lawful permanent resident (green card holder).* Essential Duties and Responsibilities

Deliver infrastructure initiatives and engineering requests to required quality standards, applying sound technical judgment and approved AI-assisted engineering tools.
Monitor, troubleshoot, maintain, and improve automated build, packaging, and deployment processes.
Implement automated infrastructure capabilities, including backups, security scanning, and system monitoring.
Apply DevOps and Site Reliability Engineering practices to improve process quality across the change lifecycle, from code commit through production release.
Collaborate with the DevOps Manager, DevOps Team Leads, senior engineers, and software development teams. Seek guidance as needed and document technical decisions and procedures.
Implement security and vulnerability remediations identified by the DevOps team, and escalate newly identified risks promptly.
Use AI coding assistants for research, drafting, and routine tasks. All AI-generated output is reviewed, tested, and deployed through the standard reviewed pipeline.
Manage and implement company tools, solutions, and platforms, including:
CI/CD: GitHub, GitHub Actions, AWS CodeBuild, AWS CodePipeline, and related deployment tooling
Infrastructure as Code: AWS CDK and AWS CloudFormation
Observability: Datadog, Amazon CloudWatch, and OpenTelemetry
Automation: Python, Bash, Node.js, and similar scripting languages
AI assistants: Approved AI coding and analysis tools used for software development, data gathering, and analysis
Support developer teams in local and cloud environments, including containerized (Docker, Amazon EKS) and serverless workloads as applicable.
Participate in an on-call rotation to triage, troubleshoot, and resolve production issues of varying scope and complexity.
Perform other duties and responsibilities as assigned.

Representative Work

Improve a CI/CD pipeline to increase deployment reliability for a development team.
Convert a recurring manual check into a documented, reviewed automation.
Reduce alert noise by refining Datadog or CloudWatch monitors.
Close a security finding through an infrastructure change that is version-controlled and reproducible.
Support senior engineers on CDK or CloudFormation updates to shared modules.
Document incident findings and contribute to corrective actions.
Use AI-assisted tools to draft scripts or summarize documentation, with results validated before use in any non-development environment.

Operating Principles

Controlled change. Releases are kept small and reviewable. Rollback procedures are defined before deployment.
Security by default. Least-privilege access, reviewed infrastructure code, timely remediation of findings, and no secrets in source code or chat logs.
Automation with defined value. Manual processes are documented first, then automated where the return is clear.
Accountability for changes. AI-assisted tools accelerate drafting and research. The engineer is accountable for all changes that are merged and deployed.
Human review of decisions. AI tools are used extensively for data gathering and analysis. Decision points remain under human review.
Structured development. Mentorship, code review, and oversight are part of the role, supporting progression to more complex work.

Qualifications

Education and Experience

Bachelor's degree in Computer Science, Computer Engineering, or a related technical field; or
One (1) year of hands-on experience in DevOps, Site Reliability Engineering (SRE), or Systems Administration roles.

Required Skills

Hands-on experience with Amazon Web Services (AWS).
Proficiency with continuous integration and continuous delivery (CI/CD) pipelines, infrastructure as code (IaC) tooling, and application and infrastructure hosting.
Scripting proficiency in Python, Bash, or a comparable language.
Strong troubleshooting skills and a methodical approach to root-cause analysis.
Proficiency with AI assistants for software development and engineering tasks.
Clear written and verbal communication, including status reporting and risk escalation.
Collaborative working style and receptiveness to technical feedback.

Preferred Skills

Experience with containerization (Docker, Kubernetes/Amazon EKS) or serverless architectures on AWS.
Familiarity with Datadog, CloudWatch, or comparable observability platforms.
Experience with vulnerability remediation or compliance-driven operations.
Experience with configuration or build tools such as Ansible or Jenkins. Useful background; current delivery is based on GitHub Actions, AWS services, and infrastructure as code.

Behavioral Expectations

Spring Venture Group behaviors applicable to this role:

Be Aware: Emotional intelligence
Be Open & Honest: Communication
Be a Team Player: Teamwork and collaboration
Be Accomplished: Drive for results
Be the Example: Develop self and empower people
Be Forward Thinking: Strategic thinking
Be a Problem Solver: Continuous improvement

Additional Information

Competitive compensation Medical, Dental and Vision benefits after a short waiting period
401k matching program
Generous paid time off program with an additional company break during the holidays
Annual Volunteer Time Off (VTO) and a donation matching program
Life Insurance Employee Assistance Program (health & well-being on and off the job) Rewards and Recognition
Maternity and Parental Leave Training program and ongoing support throughout your entire Spring Venture Group career
Diverse, inclusive & welcoming culture
Optional enrollment options include HSA/FSA, AD&D, Spousal/Dependent life insurance, Short Term/Long Term Disability, Travel Assist, and Legal plans

Spring Venture Group is an Equal Opportunity Employer

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More about this job

Skills

Research
Troubleshoot
Packaging
Software development
CI/CD
GitHub
AWS
Infrastructure as code
Datadog
Python
Bash
Node.js
Docker
Documentation
Computer science
Computer engineering
DevOps
System administration
Troubleshooting
Root cause analysis
Communication skills
Reporting
Kubernetes
Regulatory compliance
Ansible
Jenkins
Teamwork
Collaboration
Process improvement

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Work requirements

Jobs in the United States