Overview
On Site
USD 190,000.00 - 235,000.00 per year
Full Time
Skills
Finance
Design Of Experiments
FSA
Life Insurance
Leadership
Management
Mentorship
Software Development Methodology
Apache Velocity
Roadmaps
IT Management
Cloud Computing
.NET
Specification Gathering
Microservices
Data Engineering
Storage
Databricks
Continuous Integration
Continuous Delivery
DevOps
GitHub
Automated Testing
Microsoft Azure
System On A Chip
Identity Management
Communication
Coaching
Wealth Management
Military
SAP BASIS
Authorization
Law
LOS
Recruiting
Legal
Artificial Intelligence
Privacy
Job Details
Engineering Manager - Cloud-Native Azure Platform & Data Engineering Leader (WealthTech)
This Jobot Job is hosted by: Katrina McFillin
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $190,000 - $235,000 per year
A bit about us:
Founded nearly 15 years ago, we are a technology-enabled wealth management platform that empowers independent financial advisory firms to better serve high net worth and ultra-high net worth clients through an integrated suite of software, data, and business services.
Why join us?
Competitive Compensation: Market-competitive base salary (DOE) plus performance-based incentives in a growing WealthTech platform.
401(k) with Generous Match: Retirement plan with 401(k) and employer matching.
Comprehensive Benefits: Health, dental, vision, disability, FSA/HSA, and life insurance coverage.
Unlimited PTO
Impactful Engineering Leadership: Lead a multi-disciplinary team across software, data, and cloud engineering in a high-growth independent advisor ecosystem.
Modern Tech Stack: Work hands-on with Azure, .NET, M365, Databricks, DevOps, and modern architectures (event-driven, microservices).
Executive Visibility: Serve as a strategic, hands-on partner to senior product and business leadership with direct influence on the platform roadmap
Job Details
Key Responsibilities and Duties:
Lead, mentor, and retain a high-performing engineering team across software, data, and cloud, driving SDLC quality, predictability, and velocity aligned to the product roadmap.
Provide hands-on technical leadership in architecting and implementing cloud-native solutions on Azure (.NET, App Services/Container Apps, Functions, Data Factory/Databricks) that meet performance, reliability, security, and cost targets.
Define and monitor engineering and team health metrics (throughput, cycle time, escaped defects, change fail rate) while partnering with Product to translate business outcomes into measurable engineering objectives.
Develop and maintain reference architectures and technical specifications, championing SOLID, event-driven, and microservices patterns and communicating progress, risks, and dependencies to executives and stakeholders.
Qualifications - Needed:
7+ years in software/data engineering with at least 3 years directly leading engineering teams as a strategic and hands-on leader; bachelor's in a related field preferred and Azure certifications (e.g., AZ-900) a plus.
Deep, practical experience with Azure (App Services/Container Apps, Functions, Storage, Data Factory/Databricks), M365, Entra ID/Azure AD, and Dataverse schema design, including building and optimizing production systems.
Expertise in CI/CD (Azure DevOps/GitHub), automated testing, and observability (Azure Monitor/App Insights), combined with strong SOC 2 Type 2, secure coding, and access management knowledge.
Exceptional executive-ready communication skills with a track record of coaching engineers, enforcing engineering standards, and ideally experience in Wealth Management/WealthTech domains.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy
This Jobot Job is hosted by: Katrina McFillin
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $190,000 - $235,000 per year
A bit about us:
Founded nearly 15 years ago, we are a technology-enabled wealth management platform that empowers independent financial advisory firms to better serve high net worth and ultra-high net worth clients through an integrated suite of software, data, and business services.
Why join us?
Competitive Compensation: Market-competitive base salary (DOE) plus performance-based incentives in a growing WealthTech platform.
401(k) with Generous Match: Retirement plan with 401(k) and employer matching.
Comprehensive Benefits: Health, dental, vision, disability, FSA/HSA, and life insurance coverage.
Unlimited PTO
Impactful Engineering Leadership: Lead a multi-disciplinary team across software, data, and cloud engineering in a high-growth independent advisor ecosystem.
Modern Tech Stack: Work hands-on with Azure, .NET, M365, Databricks, DevOps, and modern architectures (event-driven, microservices).
Executive Visibility: Serve as a strategic, hands-on partner to senior product and business leadership with direct influence on the platform roadmap
Job Details
Key Responsibilities and Duties:
Lead, mentor, and retain a high-performing engineering team across software, data, and cloud, driving SDLC quality, predictability, and velocity aligned to the product roadmap.
Provide hands-on technical leadership in architecting and implementing cloud-native solutions on Azure (.NET, App Services/Container Apps, Functions, Data Factory/Databricks) that meet performance, reliability, security, and cost targets.
Define and monitor engineering and team health metrics (throughput, cycle time, escaped defects, change fail rate) while partnering with Product to translate business outcomes into measurable engineering objectives.
Develop and maintain reference architectures and technical specifications, championing SOLID, event-driven, and microservices patterns and communicating progress, risks, and dependencies to executives and stakeholders.
Qualifications - Needed:
7+ years in software/data engineering with at least 3 years directly leading engineering teams as a strategic and hands-on leader; bachelor's in a related field preferred and Azure certifications (e.g., AZ-900) a plus.
Deep, practical experience with Azure (App Services/Container Apps, Functions, Storage, Data Factory/Databricks), M365, Entra ID/Azure AD, and Dataverse schema design, including building and optimizing production systems.
Expertise in CI/CD (Azure DevOps/GitHub), automated testing, and observability (Azure Monitor/App Insights), combined with strong SOC 2 Type 2, secure coding, and access management knowledge.
Exceptional executive-ready communication skills with a track record of coaching engineers, enforcing engineering standards, and ideally experience in Wealth Management/WealthTech domains.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.