(Remote) DevOps Team Lead

Fidelity Life•Rosemont, IL

1d•$138,000 - $178,000•Remote

About The Position

Fidelity Life is a leading provider of financial security for middle market consumers, redefining the life insurance industry with patented products and processes. They pioneered the use of predictive analytics to streamline the new business process and revolutionize policy issuance speed. Established in 1896, Fidelity Life has a long track-record of success and continues to build its reputation of sound fiscal management and customer-focused innovation. eFinancial, an online and call-center-based insurance agency, operates with a proven direct-to-consumer life insurance model using a proprietary and patented sales technology platform. eFinancial’s licensed agents assist thousands of consumers daily with their life insurance needs, often in a single phone call, and have recently expanded to offer a fully digital purchase experience. Both Fidelity Life and eFinancial are part of iA Financial Group and are working together to revolutionize the life insurance industry, making protection more accessible and affordable for everyday Americans. With integrated marketing, product manufacturing, and controlled distribution, the enterprise is uniquely positioned for growth.

Requirements

B.S. in Computer Engineering or related field, or commensurate real-world DevOps experience.
7+ years in a DevOps role, cloud infrastructure, or platform engineering experience, including demonstrated experience leading engineers, owning technical delivery, or managing complex cross-functional technical initiatives.
Proven experience with AWS services and cloud migration projects.
Extensive experience with CI/CD tools and modern pipeline automation; experience with Bitbucket Pipelines preferred.
Proficiency in Terraform for infrastructure as code.
Strong knowledge of Atlassian products (JIRA, Confluence, Bitbucket).
Solid understanding of containerization and orchestration tools (e.g., Docker, Kubernetes).
Demonstrated experience leading incident response, owning production reliability, mentoring engineers, and setting team technical standards.

Nice To Haves

AWS Certified DevOps Engineer Professional (preferred).
AWS Certified Security Specialty (optional).
AWS CloudOps Administrator Associate.

Responsibilities

Lead the design, implementation, and ongoing management of scalable AWS cloud infrastructure, including the team’s most complex technical initiatives, while coaching engineers through successful delivery.
Build and maintain CI/CD pipelines (Bitbucket Pipelines), Terraform infrastructure as code, and internal platform tooling.
Accountable for the successful execution of complex production deployments while coaching engineers and ensuring repeatable automation.
Improve deployment safety through automation, pre/post-deploy verification, and rollback.
Establish the team's technical implementation strategy and continuous improvement roadmap in alignment with enterprise architecture, platform standards, and organizational objectives. Drive enterprise ecosystem improvements through hands-on technical leadership.
Implement and continuously improve the team's production ownership model in alignment with organizational operational standards.
Deliver team commitments while supporting organizational operational objectives established by the Director.
Serve as people leader for the team's engineers, including performance management and goal setting, ongoing feedback, career development, and hiring participation; set and enforce the team's quality standards and review practices.
Communicate with leadership and across teams, translating both ways; author and present the team's technical documentation and direction.
Enforce enterprise standards, security best practices, and compliance, including the Environment Management agreement and the change and incident/PIR processes.
Design, build, and continuously improve the shared engineering platform that enables product teams through automation, IaC, CI/CD, developer tooling self-service capabilities.
Evaluate, implement, and promote AI-enabled engineering and operational automation that improves developer productivity, deployment quality, incident response, and platform operations.