Lead Software Engineer - Wealth Platform jobs in United States
cer-icon
Apply on Employer Site
company-logo

Morningstar Sustainalytics · 3 months ago

Lead Software Engineer - Wealth Platform

Morningstar Sustainalytics is seeking a Lead Software Engineer to lead the development and modernization of their model creation and data delivery systems. This role involves designing backend systems, ensuring performance and scalability, and providing technical guidance to teams.

Financial Services

Responsibilities

Backend & Data Platform Development: Design, develop, and enhance systems that support the creation, publication, and delivery of data and models to downstream applications
System Modernization: Maintain, upgrade, and migrate existing applications and services, ensuring stability, scalability, and efficiency
Architectural Leadership: Define and evolve backend architecture for data delivery workflows, ensuring seamless integration with Morningstar’s broader product ecosystem
Performance & Reliability: Drive improvements in system performance, resiliency, and delivery speed, while enforcing best practices in scalability and maintainability
Cross-Functional Collaboration: Partner with architects, DevOps/SRE, product teams, and data engineers to align technical solutions with business objectives
Technical Guidance & Mentorship: Provide hands-on expertise in backend engineering, mentor junior engineers, and promote consistent engineering practices across teams
Project Oversight: Provide technical leadership for projects, ensuring design and implementation align with business and technical goals
Continuous Improvement: Stay current on emerging technologies in cloud, system design, and data engineering, introducing practices that improve delivery speed and quality

Qualification

Backend system designData delivery systemsC#/.NETREST APIsAWS servicesCI/CDInfrastructure as CodeDatabasesAgile/ScrumSecurity AwarenessVue.jsPythonProblem-Solving

Required

Demonstrated ability to analyze complex technical challenges, design effective solutions, and deliver high-quality results
Strong understanding of Agile/Scrum and modern engineering practices
Proven experience designing secure services, APIs, and data pipelines
Bachelor's degree in computer science or related field required; advanced degree preferred
8+ years in professional software development, with a strong focus on backend engineering and data-intensive systems
Proven experience designing and building REST APIs and event-driven systems on AWS (e.g., Lambda, SQS, SNS, EventBridge, API Gateway)
Hands-on expertise with CI/CD and Infrastructure as Code (AWS CodePipeline, Terraform, Harness, or similar)
Experience with databases (RDS, SQL, NoSQL) and large-scale data delivery systems

Preferred

Strong background in C#/.NET
Exposure to AI/ML integration in production systems
Familiarity with Vue.js or other modern JavaScript frameworks
Proficiency in Python for scripting and data workflows

Benefits

75% 401k match up to 7%
Stock Ownership Potential
Company provided life insurance - 1x salary + commission
Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages
Additional medical Wellness Incentives - up to $300-$600 annual
Company-provided long- and short-term disability insurance
Trust-Based Time Off
6-week Paid Sabbatical Program
6-Week Paid Family Caregiving Leave
Competitive 8-24 Week Paid Parental Bonding Leave
Adoption Assistance
Leadership Coaching & Formal Mentorship Opportunities
Annual Education Stipend
Tuition Reimbursement
Charitable Matching Gifts program
Dollars for Doers volunteer program
Paid volunteering days
15+ Employee Resource & Affinity Groups

Company

Morningstar Sustainalytics

company-logo
Morningstar Sustainalytics is a leading independent ESG and corporate governance research, ratings and analytics firm that supports investors around the world with the development and implementation of responsible investment strategies.