The Collective Collection Analytics team is looking for a hands-on Technical Manager to guide a growing team of software engineers. This is a player-coach role where roughly 25-40% of your time goes toward designing and building software, with the remainder spent coaching engineers, driving delivery, and ensuring operational excellence. The ideal candidate is a strong coder with deep system design experience, who can lead through influence, set technical direction, and help the team ship reliably in a modern cloud-native environment. Responsibilities: - Lead a small cross-functional team of full stack developers (Java backend, React frontend) and cloud engineers, who also cover ETL and data pipeline work, QA automation, and business systems analysis. - Serve as the team's functional manager, handling hiring, onboarding, coaching, and performance management through regular one-on-ones and goal setting, along with career development, mentoring, and succession planning. - Partner closely with Product Managers on roadmap execution and staffing needs, translating product direction into clear outcomes, milestones, delivery plans, and execution tradeoffs. - Drive day-to-day execution, including creating and refining JIRA tickets with the team, sprint planning, sprint reviews, and retrospectives. - Own JIRA dashboard management and maintain a multi-sprint-ahead view for the team, prioritizing the backlog based on Product Manager and organizational needs and planning releases accordingly. - Provide hands-on technical leadership and contribution through architecture and design work, technical spikes, pull requests, code reviews, pairing, and occasional end-to-end feature ownership. - Own and evolve application and integration architecture hosted in AWS, ensuring scalability, security, maintainability, and cost awareness. - Establish and enforce engineering standards for API and service design, including REST and event-driven patterns, performance, and backward compatibility. - Ensure production readiness and operational excellence, including monitoring, logging, incident response, root cause analysis, runbooks, and disaster recovery documentation. - Build and maintain CI/CD pipelines and release hygiene practices, working to improve deployment frequency and reduce change failure rate. - Define and drive an automated testing strategy across unit, integration, and end-to-end tests, and strengthen QA automation and quality gates. - Lead ETL and data integration work across internal and external sources, including custom ETL scripts in Python, with repeatable refresh processes, automation, reconciliation, and data quality controls. - Coordinate data platform usage and patterns in AWS, with Snowflake and Google Analytics experience preferred for data modeling, ingestion, reporting, and cost optimization. - Implement secure-by-default development practices, including dependency and vulnerability management, secrets management, and least-privilege access patterns. - Coordinate cross-team work with security, infrastructure, data, and partner teams, and communicate risks, progress, and tradeoffs to leadership. - Drive capacity planning and environment strategy across development, test, stage, and production, ensuring environments support QA and performance testing needs. - Evaluate new technologies, tools, and processes, and recommend and implement improvements for reliability, speed, quality, and cost reduction. - Drive team-wide adoption of AI-assisted engineering workflows, including coding, testing, documentation, and code review support, within clear guardrails rather than unchecked use. - Identify and prioritize AI-enabled automation opportunities, such as data pipeline and reporting automation, anomaly detection, reconciliation, and intelligent alerting, while ensuring responsible usage around security, privacy, intellectual property, and validation of outputs. - Create clear metrics and reporting to track delivery, quality, and reliability trends for the team and own the financial budget as assigned. - Maintain accountability for time reporting, budgeting inputs, and other administrative responsibilities required for ongoing team support. Required Qualifications: - Bachelor's degree in Computer Science, Engineering, or equivalent experience. - 5+ years of professional software development experience, including 3+ years in a technical leadership role such as engineering manager or tech lead. - Strong coding ability and system design depth, with demonstrated experience building and operating distributed services in production. - Experience with Java and Spring Boot services, React frontend development with data visualization libraries such as HighCharts, and modern cloud-native deployment patterns such as containers and microservices. - Strong knowledge of AWS and container orchestration through EKS or ECS, with production operations experience in observability, on-call readiness, and incident management. - Experience with search technologies such as OpenSearch, Elasticsearch, or SOLR, and relational databases such as PostgreSQL, Aurora, or RDS, including performance tuning and upgrade planning. - Familiarity with API gateways and service routing, and designing stable, consumer-friendly APIs. - Strong understanding of CI/CD and automated testing strategies in an iterative delivery environment. - Experience with custom ETL scripting, such as Python, for data integration and pipeline automation. - Excellent communication skills, able to explain architecture, risks, and tradeoffs to engineers, product partners, and senior stakeholders. - Experience with Agile delivery and leading teams through iterative planning and execution. Desired Qualifications: - Strong AWS and Snowflake experience. - Experience with Google Analytics for reporting and insights. - Familiarity with accessibility considerations for web applications and platform UI integrations Working Conditions: Normal office environment.