Senior Manager, Software Engineering

About the Role

Key Responsibilities

• Oversee engineering projects, ensuring successful delivery within scope, budget, and timeline.
• Shape long-term plans, technology adoption strategies, and innovation initiatives to drive digital transformation.
• Provide technical leadership, guiding the team in best practices, optimizing development processes, and resolving technical challenges.
• Partner with senior leadership to define and execute the engineering strategy and roadmap in alignment with business objectives.
• Contribute to solution design and architecture, collaborating with product teams, architects, production support and senior engineers.
• Engage with key stakeholders-including business leaders, clients, and partners-to gather requirements, clarify expectations, and align priorities.
• Establish and enforce security and quality assurance processes to ensure the delivery of high-performing, reliable solutions.
• Champion continuous improvement by identifying opportunities for enhancement, refining processes, and optimizing development workflows.
• Lead one to a few teams of software engineers, providing mentorship, fostering professional growth, and ensuring team effectiveness.
• Engage in code reviews to ensure best practices are followed and coach the team on how to adopt evolving best practices in our area.

Requirements

• 7+ years of experience with designing and building software engineering solutions in cloud environments.
• 7+ years of experience in one or more modern languages, such as Python, Java, C#, JavaScript, SQL, etc.
• 7+ years of experience with APIs, microservices, and modern software patterns.
• 5+ years of soliciting complex requirements and managing relationships with key stakeholders.
• 5+ years of experience independently managing deliverables.

Nice to Have

• Knowledge in Azure architecture, commands and experience designing & optimizing software and data engineering patterns.
• Healthcare, Retail, Pharmacy and/or Insurance domain experience.
• Machine Learning and Generative AI experience at scale.

Qualifications

• Bachelor degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience).

Benefits & Perks

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.