Engineering Manager, dv01

• 2+ years of experience managing software engineering teams
• 9+ years of total experience in software engineering roles
• Strong foundation in software engineering fundamentals, including system design and distributed systems
• Experience leading teams through architectural modernization, including monolith-to-microservices transitions
• Experience building and operating Kotlin/JVM backend services
• Experience designing and operating event-driven architectures
• Experience operating cloud-native systems on Google Cloud Platform (GCP)
• Exposure to frontend systems using React and Web Components
• Understanding of agile principles and the difference between being agile vs doing agile
• Proven ability to mentor engineers and grow technical leaders
• Someone who has read this far in the job description
• Strong written and verbal communication skills
• A servant-leader mindset focused on enabling teams rather than micromanaging
• Someone with a positive attitude and a sense of humor

Desirable

• As an Engineering Manager, Product Architecture, you will lead teams responsible for dv01’s software architecture for our products, including:
• Internal applications that support operational workflows, tooling for the support team, security dashboards, observability tools, and other systems for our internal users
• Services, aggregators, and integration systems that connect internal and external producers and consumers to dv01’s data.These teams are key to dv01’s platform strategy and are critical to enabling scale across the organization
• This is a true engineering management role, with accountability for people leadership, delivery, and domain-level technical stewardship
• You will not be expected to write production code day-to-day, but you are expected to be technically credible, and capable of guiding architecture, reviewing designs, and making informed tradeoffs as the platform modernizes
• The Software Platform teams primarily build backend services on the JVM stack with Kotlin, on Google Cloud (GCP). They leverage event-driven architectures, and support modern web applications built with React and Web Components
• You will partner closely with other leaders across the org to ensure solutions are scalable, consistent, and aligned with dv01’s long-term architecture
• Directly manage 5 to 8 software engineers across internal applications and platform services
• Coach and mentor engineers through regular 1:1s, feedback, and career development planning
• Build a culture of ownership, reliability, and continuous improvement
• Work closely with the Director of Engineering to make sure your teams are aligned to the Software Platform roadmap and architectural direction
• Own the technical direction and architectural health of software platform systems
• Guide teams through building services, microservices, and UIs
• Lead the transition and standardization toward Kotlin-based backend services, while managing legacy Scala and Python systems responsibly
• Ensure services are scalable, observable, secure, and resilient in production
• Guide the design of event-driven systems, asynchronous workflows, and service integrations
• Partner with principal engineers, and other leaders, on cross-domain architecture, standards, and long-term technical strategy
• Review and contribute to RFCs, architecture diagrams, and technical design documents
• Partner with Product Management to translate platform and internal needs into clear technical roadmaps
• Collaborate with Project Management and help the teams to clearly understand the work, and then break it down into small digestible units of work, from initiative to milestone to task to subtask
• Balance delivery of new capabilities with reliability, operational excellence, and technical debt reduction
• Own operational outcomes, including availability, performance, and incident response
• Work closely with internal stakeholders who depend on platform and internal tools (support, operations, account management, etc)
• Coordinate with data producers and consumers to ensure reliable integrations
• Collaborate with Data Engineering teams, while maintaining clean contracts between systems
• Communicate technical decisions and tradeoffs clearly to engineering and business stakeholders
• Collaborate with peer Engineering Managers to align on patterns, tooling, quality standards, and best practices