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iPipeline

End-to-end life insurance sales platform

Senior Manager, Platform Engineering

Engineering LeadershipPosted on Nov 5
Full-timeWayne, PA, USA

About the Job

Requirements

  • Typically requires 12+ years of relevant experience, including leadership experience in software engineering, DevOps engineering, platform engineering, cloud architecture, or infrastructure engineering, with at least 3 years in a management role leading teams of engineers.
  • Strong knowledge of AWS services and cloud-native architectures, including experience managing teams that build platform infrastructure for multi-region, high-availability environments.
  • Strong proficiency with infrastructure-as-code tools and module library management, including setting standards for development, versioning, and publishing.
  • Strong experience leading teams that build and maintain continuous integration and continuous delivery platform capabilities, including setting pipeline architecture standards and evaluating pipeline tooling.
  • Strong experience leading teams that build observability platforms, including setting instrumentation standards and coordinating architecture with Cloud Operations needs.
  • Proven experience leading multi-team migration programs, including wave planning, dependency management, and risk mitigation.
  • Solid understanding of platform-as-a-product principles and the ability to gather requirements from consuming teams and translate them into platform features.
  • Solid knowledge of security-by-default practices across platform capabilities and the ability to coordinate security control implementation with Security teams.
  • Strong understanding of reliability engineering and the ability to lead teams building site reliability engineering enablement tooling, including chaos engineering, self-healing, and resilience testing aligned with Cloud Operations requirements.
  • Solid knowledge of compliance and regulatory considerations for platform engineering in the life insurance and wealth management industries.
  • Proven experience leading teams that build and maintain automated disaster recovery infrastructure at scale.
  • Solid knowledge of AI-enabled platform engineering practices, including integrating AI capabilities into continuous integration and continuous delivery pipelines, infrastructure-as-code workflows, and observability.
  • Ability to evaluate AI-assisted developer tools for team adoption, assess productivity impact, and ensure compliance with data handling and security policies; developing familiarity with MLOps pipeline patterns and AI governance tooling concepts.

Responsibilities

  • Manage multi-team delivery of infrastructure-as-code, continuous integration and continuous delivery, and automation capabilities, ensuring cross-team coordination, consistent engineering standards, and alignment with the platform roadmap.
  • Set team-level quality standards for infrastructure-as-code module development and continuous integration and continuous delivery pipeline reliability, and drive adoption measurement and feedback loops with consuming teams, including Cloud Operations.
  • Oversee continuous integration and continuous delivery pipeline architecture decisions across teams, ensuring consistency, security-by-default integration, and alignment with release engineering patterns.
  • Coordinate container platform delivery across teams, ensuring consistent cluster standards, namespace policies, and registry governance.
  • Champion automation initiatives across managed teams, setting targets for toil reduction and tracking delivery velocity improvements.
  • Manage multi-team delivery of observability platform components, ensuring cross-team consistency in instrumentation standards and data pipeline architecture.
  • Coordinate observability platform delivery with Cloud Operations requirements, ensuring the platform supports operational alerting, dashboarding, and on-call needs.
  • Ensure observability-by-default is embedded across platform capabilities so every infrastructure-as-code module, continuous integration and continuous delivery pipeline, and platform service includes baseline telemetry.
  • Coordinate AI and machine-learning observability delivery with Data Science and Cloud Operations requirements, ensuring model-specific telemetry integrates into the broader observability platform.
  • Manage multi-team migration execution across workload streams, ensuring coordination of dependencies, risk management, and adherence to the migration program timeline.
  • Lead cross-team workload discovery and dependency analysis, identify migration risks, and escalate blockers to Director-level leadership.
  • Coordinate cutover planning and execution across teams, partnering with Cloud Operations on operational readiness validation for migrated workloads.
  • Manage multi-team delivery of next-generation platform capabilities, coordinating dependencies and ensuring architectural consistency across platform components.
  • Sponsor and oversee proof-of-concept initiatives across teams, evaluating new technologies for strategic fit and scalability.
  • Establish processes for capturing operational requirements from Cloud Operations and Engineering stakeholders, embedding supportability and operability criteria into platform design standards.
  • Manage multi-team delivery of site reliability engineering enablement capabilities across the platform, ensuring tooling supports the framework governed by Cloud Operations.
  • Ensure reliability and resilience testing is embedded by default into platform continuous integration and continuous delivery pipelines and deployment workflows.
  • Lead developer experience initiatives across managed teams by establishing friction logs, measuring onboarding lead times, and coordinating platform office hours and enablement sessions.
  • Coordinate platform lifecycle activities across managed teams, ensuring consistent patching cadence, upgrade planning, and deprecation timelines.
  • Analyze platform effectiveness across multiple teams, identify cross-team patterns in engineering productivity, pipeline performance, and platform adoption, and present analysis and recommendations to Director-level leadership.
  • Manage vendor relationships for platform tooling within scope and provide recommendations on vendor performance and contract renewals to Director-level leadership.
  • Enforce cost allocation tagging across managed teams' platform resources and contribute utilization analysis to FinOps reporting for platform shared services.
  • Ensure security-by-default is embedded across managed platform capabilities, coordinating with Security teams on control requirements and compliance evidence.
  • Ensure audit readiness across all managed platform services, coordinating with Security and Compliance on evidence requirements and addressing gaps.
  • Manage multi-team delivery of disaster recovery infrastructure capabilities, coordinating with Cloud Operations on requirements alignment and testing schedules.
  • Ensure disaster recovery infrastructure components are code-driven, version-controlled, and testable across all managed environments.
  • Coordinate delivery of AI and machine-learning platform capabilities across managed teams, ensuring consistent patterns for model training, deployment, and artifact management.
  • Ensure AI governance infrastructure is consistently implemented across managed platform services, coordinating with Security and Compliance on requirements for the life insurance and wealth management industries.
  • Lead evaluation and integration of AI-assisted developer tools across managed teams, including AI-powered code review, infrastructure-as-code generation, intelligent test scaffolding, and documentation automation, tracking measurable productivity improvements.
  • Coordinate AI gateway delivery across managed teams, ensuring consistent model access patterns and integration with security controls.
  • Improve effectiveness and efficiency by initiating new approaches and partnering with Cloud Operations, Engineering, Security, and Product managers to align platform delivery with operational and business requirements.
  • Manage the activities of first-level managers, group leaders, and individual contributors; lead day-to-day operations and teams, projects, or functional areas; achieve specific goals; drive performance and team cohesion; identify high-potential team members; and provide development and growth opportunities.
  • Hire and fire employees, conduct performance management, appraisals, and pay reviews, identify talent and provide growth opportunities, create and execute employee engagement strategies, engage the team on focus areas, monitor progress, and foster engineering excellence, automation-first thinking, and continuous learning across multiple teams.

Desired Qualifications

  • Experience operating in regulated industries, including life insurance, financial services, or wealth management.

About the Company

iPipeline

End-to-end life insurance sales platform

iPipeline provides cloud-based software for the life insurance, pensions, and financial services sectors. Its platform offers an end-to-end solution that supports the entire sales cycle—from initial quotes and illustrations to electronic applications and policy processing. Targeting financial advisers, insurance carriers, and distributors, iPipeline delivers a suite of integrated tools on a subscription/licensing model to help clients streamline operations, cut down on paperwork, and speed up the sales process. Its products include quoting engines, e-applications, and policy processing that can be embedded into a client’s existing workflow. Compared to competitors, iPipeline emphasizes a cohesive, all-in-one platform designed for B2B use in insurance and wealth management, rather than a collection of standalone tools. The company’s goal is to enable faster, more accurate product recommendations and smoother policy administration across the life and retirement product lifecycle.

Company size
501-1,000
Company stage
Growth Equity (Venture Capital)
Total funding
$104.4M
Headquarters
Upper Merion Township, Pennsylvania
Founded
2004

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