Note: The job is a remote job and is open to candidates in USA. Prosum is seeking an experienced Lead Software Engineer to join their Data Foundation Platform team, focusing on large-scale data engineering and analytics initiatives. The role involves building cloud-based tools and services for data engineers, analysts, and data scientists, while providing technical leadership and designing scalable solutions.
Responsibilities
- Design, develop, and maintain scalable full-stack data infrastructure and platform services
- Build and enhance internal tools supporting metadata management, governance, lifecycle management, and cost management
- Architect reusable APIs, shared libraries, and UI component frameworks across data platform ecosystems
- Develop user-facing applications and dashboards using modern frontend technologies
- Implement cloud-native solutions and automated deployment pipelines within AWS or comparable cloud environments
- Collaborate with cross-functional teams including product managers, architects, data scientists, analysts, and engineering teams
- Drive technical strategy, system design decisions, and platform scalability initiatives
- Mentor engineers through code reviews, architecture reviews, and technical leadership
- Support operational excellence, platform reliability, and agile development processes
- Contribute to AI-enabled platform capabilities using technologies such as Bedrock, Cortex AI, or similar solutions
Skills
- 12+ years of professional software engineering experience delivering production-scale systems
- Strong experience in both software engineering and data engineering environments
- Expertise with metadata management and data governance systems
- Hands-on experience with AI tools and AI-powered engineering platforms such as Bedrock, Cortex AI, or related technologies
- Strong programming skills in at least one core language such as Python, TypeScript, or Java
- Experience building and operating distributed systems at scale
- Experience with AWS cloud services, CI/CD pipelines, infrastructure-as-code, and deployment automation
- Ability to design and implement features end-to-end across backend, frontend, and infrastructure layers
- Strong leadership, communication, and collaboration skills
- Experience with internet-scale platforms and high-throughput distributed systems
- Hands-on experience with technologies such as: Airflow, Spark, Databricks, Snowflake, Delta Lake, OpenSearch, Neptune, GraphQL, React, TypeScript
- Experience with data catalog and governance platforms such as Acryl DataHub or Alation
- Familiarity with PII governance, compliance, and data lifecycle management
- Experience with knowledge graph systems and graph-based architectures
Company Overview