Manager, Software Development

The Church of Jesus Christ of Latter-day Saints

Engineering Lead managing a full-stack agile team for AI-driven genealogical solutions. Overseeing technical delivery and strategic initiatives for FamilySearch in Lehi, Utah.

Posted 5/5/2026full-timeLehi • Utah • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies

ApacheAWSCloudJavaPythonSpark

About the role

Key responsibilities & impact

Manage and coach a full-stack agile team of 8–10 engineers.
Lead rapid sprint cycles, balancing experimentation and innovation with production stability and operational excellence.
Partner closely with Product Management, UX, and technical stakeholders to define and deliver solutions.
Own team execution, including backlog management, feature prioritization, sprint commitments, and quarterly planning.
Continuously improve team processes and ways of working.
Keeps abreast of industry best practices and emerging trends and technologies.
Champion FamilySearch values and contribute positively to team culture.
Represent the team as an engineering leader, aligning work and outcomes across dependent teams.
Maintain accountability for team and individual performance against delivery goals.
Provide regular coaching and mentoring with a focus on growth, accountability, and results.
Participate in the Problem Management process.
Comply with policies, standards, and regulatory requirements and ensures others are doing the same.
Lead the design, development, and operation of production AI/ML systems for genealogical tree building.
Provide hands-on technical leadership in applying AI to structured problem domains, including graph- and tree-based reasoning systems.
Guide the architecture and use of vector and graph databases for retrieval, inference, and scalable AI workflows.
Ensure strong ML engineering rigor, including model evaluation, quality monitoring, confidence metrics, and production validation.
Oversee cloud-native architectures (AWS), with a focus on scalability, reliability, privacy, and AI workload requirements.
Sustain and enhance existing production systems while delivering new AI-backed capabilities in parallel.
Proactively identify and remove technical and organizational roadblocks to enable consistent delivery across complex dependencies.

Requirements

What you’ll need

Bachelor's degree in Computer Science, closely related field or equivalent experience.
10 years of technical experience including two years demonstrating a progression in leadership roles and three years deep technical experience in software development and IT methodologies
Ability to effectively manage a team of highly skilled engineers.
Key responsibility for design and implementation of large-scale enterprise systems.
Strong understanding of Agile software development methodologies and principles.
Experience designing and building multi-tier systems.
Database experience.
Expert-level skills in engineering and programming, relevant software development technologies, analytical, diagnostic, and troubleshooting skills, web technology, and programming methodology (preferred extensive Java and Python experience).
Familiarity with cloud-based platforms and services (preferred AWS experience).
Strong familiarity with continuous integration and continuous delivery principles.
Ability to communicate effectively with different levels of management, work with vendors, interact with customers, and present solutions.
Deep understanding and experience with AI development and production deployments (ML-Ops).
Demonstrated DevOps leadership experience, including ownership of system reliability, availability, monitoring, incident response, and operational health of mission-critical production systems.
Deep understanding and experience with big data analysis and tools such as Apache Spark.
Proven ability to plan, track, and manage multiple high-priority initiatives and dependencies across teams, balancing competing priorities while ensuring alignment, execution discipline, and delivery of strategic outcomes.
Master's degree (Preferred)

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI developmentML-OpsJavaPythonAgile methodologiesmulti-tier systemsdatabase managementbig data analysisApache Sparkcloud-native architecture

Soft Skills

team managementcoachingcommunicationleadershipproblem-solvingaccountabilitycollaborationmentoringprocess improvementstrategic planning

Certifications

Bachelor's degree in Computer ScienceMaster's degree