About the Role
Position Overview:
We’re seeking a Software Engineer to design, develop, and enhance modern cloud‑native applications and services. This role is hands‑on, focused on writing high‑quality code, collaborating with peers, and contributing to core platform capabilities.
Data Platform Team Strategy
We’re on a mission to transform how data and AI empower decision-making across the enterprise. Our Data Platforms team is building scalable, secure, and intelligent infrastructure to support advanced analytics, real-time insights, and seamless data integration.
We are creating a unified data foundation that accelerates innovation and drives measurable business impact.
What You’ll Do
Build: Design and deliver scalable, cloud-native applications, services, and platform capabilities using modern engineering practices and architectural patterns.
Implement DevOps & CI/CD: Contribute to reliable delivery pipelines, automation, and infrastructure practices that support secure, repeatable software delivery.
Follow engineering best practices around code quality, testing, security, and performance monitoring.
Collaborate with product managers, architects, and peers to deliver high‑value features and improvements.
Required Qualifications
- 2-5+ years of experience building software systems.
Strong proficiency in modern programming languages, data access patterns, and software design principles.
Exposure to automated delivery practices, collaborative engineering workflows, and cloud-based infrastructure concepts.
Strong communication skills and a collaborative mindset.
Passion for innovation, continuous learning, and mentoring others.
Preferred Qualifications
Experience using modern developer productivity tools, including AI-assisted development capabilities, to improve code quality, efficiency, and team workflows.
Experience with cloud hosting models, containerized workloads, distributed systems, or serverless application patterns.
Knowledge of event-driven architecture and domain-driven design.
Relevant certifications or demonstrated learning in cloud architecture, software engineering, security, or platform development.
Exposure to AI/ML integration in software products.