• As an Associate Director in Data & Analytics you are responsible for data management, technical delivery, and leading the team of data engineers to execute client work. • Responsible for data management and governance of defining and enforcing data management standards, owning data quality strategy, building and maintaining curated datasets, and ensuring compliant handling of sensitive data. • Play a hands-on role in technical coding and delivery, which includes writing SQL and Python code, designing Extract, Transform, Load (ETL) routines, performing code reviews, and conducting root-cause analysis. • Collaborate with Directors and Partners, keeping them abreast of project progress and important developments.

• Design, develop, and deliver features as part of an agile, cross-functional engineering team • Collaborate closely with Product, Architecture, QA, and Engineering leadership across the full feature lifecycle • Build scalable web and backend services that integrate edge hardware into a real-time security platform • Solve complex, real-world problems involving geospatial data visualization and tracking, near real-time event processing, video snapshot capture and overlay integration, and access control within distributed site environments. • Develop backend services primarily using .NET Core 6+ (C#) in AWS-hosted Kubernetes microservices • Build modern web applications using React micro-frontends, TypeScript (ES6+), and NPM libraries • Contribute to CI/CD pipelines using GitLab, including unit, UI (Selenium), and static testing

• Backend Development: Design, develop, and optimize backend services that support B2B sales, enterprise customers, and external partner integrations, with an emphasis on resilience, performance, and scalability. • Cloud & Kubernetes Integration: Assist in integrating our applications and services within AWS and Kubernetes, leveraging tools such as Flux and Argo for GitOps workflows. • Infrastructure as Code: Support the use of Terraform or AWS CDK to efficiently create, manage, and orchestrate cloud infrastructure components. • Database Management: Aid in building robust database solutions with PostgreSQL and optimize search functionalities with ElasticSearch. • Architectural Assistance: Participate in architectural discussions, focusing on scalability, performance, and reliability, learning from the architectural decisions made. • Team Collaboration: Work closely with fellow engineers, absorbing best practices, especially concerning Java and cloud-native technologies. • Operational Support: Assist in engineering decisions, considering aspects from cost efficiency to data security under the guidance of senior leadership.

• Collaborate within your team to build new features that are targeted at our highest impact enterprise customers. • Contribute to platform scaling initiatives. • Meet regularly with Product and Design to fine tune requirements. • Attend agile ceremonies to help your team plan out their work and get it done. • Work across squads to improve Engineering practices at Calendly. • Review implementation plans and pull requests from your peers. • Mentor and coach other team members.