
Engineering Lead
Posted Sep 3

Posted Sep 3
This is a fully remote position, open to applicants in United States.
β’ Lead various cross-functional development teams across both modern and legacy platforms.
β’ Adjust team size and composition in response to work flowing through formal intake processes.
β’ Commit to scope, effort levels, timelines, and team sizes in actionable plans.
β’ Fulfill commitments and proactively communicate risks along with recovery strategies.
β’ Integrate engineering quality into team workflows through the definition of done, automated testing, code reviews, and metrics.
β’ Ensure comprehensive positive and negative automated test coverage for each feature.
β’ Maintain a monthly production release cycle of 30 days or less.
β’ Oversee modern Salesforce-centered, configuration-first platform development while sustaining legacy systems.
β’ Take responsibility for the warranty of released software.
β’ Set and uphold standards for code quality, reviews, documentation, and the definition of done.
β’ Keep documentation up-to-date with every release.
β’ Scale responsible AI-assisted engineering practices throughout the organization.
β’ Utilize AI in automated test coverage, code reviews, defect analysis, and documentation, while adhering to federal security, data, privacy, and authorization regulations.
β’ Recruit, develop, retain, and manage engineering talent effectively.
β’ Collaborate directly with federal customers and decision-makers.
β’ Report on delivery status, defend engineering choices with data, and challenge poor technical or program directions respectfully.
β’ Mentor engineering leads while upholding quality standards under tight schedules.
β’ Proven experience leading engineering organizations with multiple teams in the development and delivery of production software.
β’ Ability to articulate delivery and quality outcomes with quantitative data.
β’ Hands-on technical credibility; actively reads code, reviews designs, and provides technical insights.
β’ Established a quality system that achieved significantly low defect escape rates through engineering discipline and test automation.
β’ Experience shipping software in a regulated federal environment.
β’ Skilled in treating security, accessibility, authorization, and documentation requirements as constraints to delivery.
β’ Proficient in release cadence, defect detection and escape rates, cycle times, and automation coverage metrics.
β’ Utilizes AI engineering tools and has led teams in responsible, measured AI-assisted development.
β’ Capable of presenting delivery status, defending engineering decisions with data, conveying bad news promptly, and respectfully challenging unrealistic directives.
β’ Strong judgment in hiring, engineering development, retention, and performance management.
β’ Must be based in the U.S.
β’ Eligible to obtain and maintain a federal Public Trust clearance.
β’ Requirement for full-time W-2 employment.
β’ Experience in Salesforce delivery leadership or similar configuration-first enterprise platform leadership is advantageous, but not mandatory.
β’ A solid background in test automation frameworks and strategies is beneficial, though not required.
β’ Familiarity with managing legacy sustainment and modernization concurrently, or decommissioning a production system is helpful, but not essential.
β’ Knowledge of 508 accessibility compliance is advantageous, though not required.
β’ 100% employer-covered medical insurance.
β’ Continuous AI education and development funding available for the entire team.
β’ Fully remote work opportunities.
β’ Full-time W-2 employment.
β’ Mission-driven work that supports a federal home loan benefit for individuals who have served the country.
Verwaltungscloud.SH GmbH
WBS
EverCommerce
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