Director, Software Engineering

Job Description

Responsibilities Lead the design and implementation of an extensible integration platform to onboard and manage data from various systems. Architect and oversee data ingestion pipelines from external APIs, file-based sources, and event streams into the PeopleCloud using Databricks, Spark, and custom ETL services . Build reusable, scalable connector frameworks with monitoring, retry logic, and transformation capabilities. Ensure seamless integration with the PeopleCloud's APIs, data models, and customer-facing features. Drive backend development with Java/Spring Boot and real-time and batch data processing strategies. Oversee the frontend architecture ( Angular ) for internal tools and dashboards managing connectors, data flows, and transformation logic. Collaborate cross-functionally with product, data, and cloud infrastructure teams to align technical delivery with business goals. Ensure the platform is multi-cloud compatible , leveraging AWS, Azure, or GCP services where needed. Implement and maintain CI/CD pipelines, infrastructure as code, and blue-green deployment strategies for highly reliable releases. Qualifications 10+ years in software engineering , with a strong foundation in backend systems and data engineering. 5+ years of leadership experience , including team building, mentoring, and delivery management. Expertise in Java, Spring Boot, REST APIs , and building cloud-native microservices. Strong understanding of data integration patterns, API consumption, and real-time/batch ETL . Experience building multi-connector frameworks is a big plus. Knowledge of Angular for front-end development and dashboarding . Proven experience with multi-cloud deployment, Kubernetes, Terraform, and observability tools . Experience with CI/CD pipelines and blue-green deployments in production environments. Bachelor's or Master's degree in Computer Science, Engineering, or a related field . Preferred Experience: Building integrations with systems like Salesforce, Workday, Marketo, Google Ads, Segment, Snowflake. Hands-on experience with Databricks, Spark , or equivalent data processing platforms. Strong understanding of data integration patterns, API consumption, and real-time/batch ETL.