About the Role
Lead the development and architecture of robust software solutions within a platform that leverages data and machine learning to deliver actionable insights and automation. Drive technical excellence across cross-functional teams.
Responsibilities
- Design and implement scalable backend services and APIs
- Collaborate with product and data science teams to integrate intelligent features
- Mentor engineers through code reviews and technical guidance
- Define architectural standards and promote best practices
- Troubleshoot and resolve complex system issues
- Optimize applications for performance, reliability, and security
- Contribute to end-to-end ownership of services
- Work with distributed systems and cloud infrastructure
- Ensure software aligns with long-term platform goals
- Participate in system design and technical planning sessions
- Drive automation in monitoring and deployment pipelines
- Evaluate new technologies and frameworks for fit and impact
- Support incident response and on-call rotations
- Improve observability and logging across services
- Integrate with data platforms for analytics and machine learning
- Build reusable components for feature acceleration
- Maintain high test coverage and quality standards
- Collaborate on API design and documentation
- Ensure compliance with security and privacy policies
- Lead initiatives to modernize legacy systems
- Conduct performance benchmarking and tuning
- Foster a culture of innovation and technical agility
- Translate business requirements into technical solutions
- Participate in agile ceremonies and planning
- Support documentation and knowledge sharing
Compensation
Competitive salary and benefits package commensurate with experience
Work Arrangement
Hybrid work model with flexibility based on team and role requirements
Team
Part of a high-performing engineering team focused on intelligent automation and data-driven product innovation
About the Team
This team builds core intelligence capabilities that power automation, recommendations, and insights across the platform. Engineers work closely with data scientists and product managers to deliver features that improve operational efficiency for customers.
Technology Stack
Primary languages include Java and Kotlin. The platform runs on AWS with services deployed via Kubernetes. Key tools include Kafka, DynamoDB, PostgreSQL, and internal ML platforms.
Available for qualified candidates requiring sponsorship
