Role

Provides technical leadership for Recology’s customer-facing application ecosystem, including SaaS platforms, integrations, and custom solutions. Responsible for the stability, performance, and continuous improvement of operational systems supporting customer processes from collection through billing. Leads a lean team and vendors to deliver scalable, reliable solutions, while driving platform rollout, post-implementation support, and ongoing enhancements aligned to the technical roadmap.

This is a hybrid position, with 3 days per week (Tue/Wed/Thur) in-office at our Sacramento data center, the rest remote.

Essential Responsibilities

• Owns the end-to-end architecture, performance, security, and reliability of Recology’s customer-facing application ecosystem, including SaaS platforms, integrations, and custom-built solutions.
• Defines and enforces engineering standards across the customer application ecosystem, ensuring scalability, maintainability, and alignment with enterprise architecture and technical strategy.
• Leads, coaches, and develops a team of software engineers, application analysts, and integration engineers, while setting clear expectations for delivery, quality, and operational excellence.
• Governs third-party vendors and implementation partners, ensuring accountability, delivery quality, and alignment with architectural standards.
• Serves as the technical owner of the operational application platform and its integrations, including post-implementation support, Tier 2+ escalation management, and ongoing enhancement delivery.
• Owns the release and deployment lifecycle across operational CRM and dependent systems, including planning, coordination of 6+ annual releases, testing strategy, and production readiness.
• Drives modern DevOps practices including CI/CD, automation, environment management, and release governance to improve speed, stability, and repeatability of delivery.
• Establishes operational discipline across support processes, SLAs, system monitoring, data integrity, and incident resolution, ensuring consistent service reliability.
• Partners with enterprise architecture, Customer Application Center of Excellence leaders, and business stakeholders to translate business needs into scalable technical solutions and influence enterprise priorities.
• Leads cross-functional initiatives that span applications, integrations, and data platforms, ensuring alignment, risk management, and successful execution across teams.
• Supports and enables enterprise AI initiatives by integrating AI capabilities into customer applications, CRM, and workflows in alignment with platform, security, and governance standards.
• Drives the use of AI to improve productivity across customer applications, CRM, and integrations by reducing manual effort, accelerating delivery, and improving operational efficiency.
• Travel may be required for meetings and/or site visits.
• Other duties as assigned.

Qualifications

• 10+ years of experience in application development, engineering, or technical delivery roles.
• 5+ years of people leadership experience managing technical teams.
• Bachelor’s degree in Computer Science or related field preferred (or equivalent experience).
• High School diploma or GED required.
• Strong experience with SaaS platforms, system integrations, and custom application development.
• Deep understanding of system architecture, APIs, and integration patterns.
• Experience with cloud platforms (Azure preferred) and modern DevOps practices (CI/CD, automation).
• Strong object‑oriented programming experience, with C# and/or Python preferred.
• Strong knowledge of Software Development Lifecycle (SDLC) and agile methodologies.
• Experience supporting enterprise applications in a production environment (Tier 2/3 support).
• Proven experience managing vendors and third-party delivery partners.
• Strong technical judgment and decision-making ability.
• Ability to balance strategic thinking with hands-on execution.
• Excellent communication skills across technical and business audiences.
• Demonstrated ability to lead through ambiguity and drive outcomes.
• Continuous improvement mindset with a focus on scalability and efficiency.
• Principles of employee training, supervision, and evaluation.
• Supervisory techniques, resource allocation, planning, and budgeting.

CLICK HERE FOR DETAILS