CVS Health

Senior Manager, Software Development Engineering

CVS Health

full-time

Posted on:

Location Type: Hybrid

Location: New York City • Connecticut, Massachusetts, New York, Pennsylvania, Texas • 🇺🇸 United States

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Salary

💰 $118,450 - $284,280 per year

Job Level

Senior

Tech Stack

CloudDistributed Systems

About the role

  • Technical oversight: Technical leader capable of designing and overseeing the build-out and operations of complex distributed systems at scale in a fast-paced analytics organization
  • Engineering leadership: Able to technically direct, support, and evaluate data, software, and ML engineers and their work product, ensuring we are building best-in-class solutions that can scale to meet our future non-functional requirements
  • System performance: Monitor and optimize both team & system performance, identifying opportunities for enhancement and addressing any issues or bottlenecks. Establish KPIs and OKRs that unlock quantitative insight so we can change processes with confidence.
  • Talent management: Recruit, manage, mentor, and retain a high-performing engineering team while contributing to a positive and supportive culture, encouraging innovation, and driving a pragmatic balance of continuous improvement and effective value delivery.
  • End-to-end ownership: Lead a team from strategy through delivery in complex and highly visible engineering projects.
  • Prioritization and pivots: Guides team’s work prioritization in alignment with our strategic objectives. Coach an implementation team through pivoting as needed while remaining steadfastly focused on the overall objective.
  • Cross-functional collaboration: Collaborate closely with other technical teams (engineering, platform, infrastructure, security, governance) to understand their expectations and develop solutions in accordance with appropriate guidelines.
  • Coalition building: Establish effective relationships with partners and customers, ensuring that you understand their vision and can help them deliver on their goals.
  • Risk management: Proactively identify, communicate, and mitigate both internal and external risks. Communicate clearly on progress, challenges, and opportunities to senior management and stakeholders, including presenting technical concepts to non-technical audiences.
  • The big picture: Understand how data, data science, and AI/ML can drive clinical and healthcare delivery strategies. Build partnerships that enable business innovation through data and analytics.
  • Staying current: Stay updated on industry trends, emerging technologies, and best practices in software development, analytics, data engineering, and machine learning technologies to drive innovation and efficiency.

Requirements

  • 6+ years as a hands-on software development engineer
  • 4+ years designing & building high-volume distributed software systems
  • 3+ years recruiting, managing, and retaining a high-performing team of software development professionals in an agile environment
  • 2+ years developing containerized software applications in public cloud
  • 2+ years exposure to analytics, data engineering and machine learning lifecycle, tools, and best practices
  • 2+ years designing, building, and operating real-time streaming systems and associated system-building blocks (messaging, caching, etc.)
  • 2+ years managing engineers
  • 1+ year using generative AI as an integrated component in software solutions
  • 1+ year in the healthcare or health insurance industry with deep understanding of health care value chain
Benefits
  • Affordable medical plan options
  • 401(k) plan (including matching company contributions)
  • 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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
software developmentdistributed systemsdata engineeringmachine learningcontainerized applicationsreal-time streaming systemsmessagingcachinggenerative AIagile methodologies
Soft skills
engineering leadershiptalent managementcross-functional collaborationrisk managementcoalition buildingprioritizationcoachingmentoringcommunicationproblem-solving