Sr Manager, Staff Software Engineering - Commercial Service Platform (REMOTE)

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Position Summary

We are seeking a Senior Software Engineering Manage to lead the development of innovative applications and solutions for our Commercial Sales/Service Engineering teams. This role will focus on building scalable, high-performing applications while leveraging AI technologies wherever applicable to drive efficiency, enhance customer experiences, and deliver business value. The ideal candidate will define and execute a technical strategy to transform our current systems and unlock new engineering capabilities.

What you'll do:

- Lead the strategy and execution of a technical roadmap to increase the velocity of delivering products and enable new engineering capabilities.
- Build and manage applications that seamlessly integrate with our commercial insurance systems, leveraging AI/ML technologies to optimize workflows and improve decision-making.
- Manage projects and processes to keep the team organized, efficient, and running optimally.
- Hire, retain, mentor, and manage engineering staff to ensure they have the necessary skills to perform their jobs and grow professionally.
- Perform engineering design evaluations to ensure projects are within resource, budget, and scheduling constraints.
- Set, manage, and report KPIs to measure progress and facilitate data-driven decision-making.
- Oversee day-to-day activities of engineering teams, ensuring timely execution of software development projects.
- Simplify and standardize designs, operations, and deployment plans, focusing on reducing complexity while improving performance, agility, and scalability.
- Be responsible for production operations support, ensuring availability, stability, and performance of production applications.
- Foster strong relationships with tech teams and business partners in commercial insurance to align technical solutions with business needs.

Qualifications:
- Proven management experience leading teams of 6+ engineers, with a focus on delivering high-quality applications.
- Strong understanding of AI/ML technologies and their practical application in building intelligent systems.
- Strong knowledge of cloud computing technologies and concepts (SaaS, PaaS, IaaS, etc.).
- Fluency in at least one modern programming language such as Python, Java, or Go, with experience in open-source software being a plus.
- Proven ability to learn and adapt to new technologies quickly, with a strong foundation in algorithms, data structures, and core computer science concepts.
- Proficiency in Project Management and work item management tools such as GitHub and Azure DevOps.
- Experience with CI/CD pipelines, build and release practices, and application monitoring tools.
- Fluency with SQL, PowerBI, and Snowflake technologies.
- Excellent verbal and written communication skills, with the ability to effectively communicate with senior leadership, technical, and non-technical audiences.

Preferred Qualifications:
- Experience in the Insurance domain or similar industries.
- Proven ability to integrate AI/ML technologies into applications to enhance efficiency and scalability.
- Strong Cloud (AWS, GCP, Azure, etc.) platform knowledge.
- Experience with automated testing, including Unit, Integration, and End-to-End functional testing.

Experience:
- 10+ years of professional software engineering experience, including software development lifecycle best practices.
- 5+ years of experience in a large-scale, mission-critical environment.
- 5+ years of hands-on experience supervising personnel in a technical environment.
- 2+ years of experience with automated testing frameworks.

Education:
- Bachelor’s Degree in Computer Science or a related field, or equivalent experience.

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Annual Salary

$130,000.00 - $300,000.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experie