We are seeking a Senior Software Engineer to join a high-performance engineering team responsible for building and evolving the core compute platform that underpins large-scale data processing, analytics, and decision-making systems.

This role focuses on designing and developing robust, scalable infrastructure to support complex workloads, including distributed computation, messaging systems, workflow orchestration, and observability tooling. The platform plays a critical role in enabling rapid iteration, reliable execution, and high-quality results across data-driven applications.

You will have the opportunity to work across system architecture, cloud infrastructure, and application development, while collaborating with cross-functional teams to deliver mission-critical solutions in a highly technical environment.

Responsibilities

• Collaborate with cross-functional teams to gather requirements and define scalable solutions across compute, workflow, and data systems
• Design and implement distributed systems and cloud-native architectures to support high-performance workloads
• Lead technical design discussions, evaluating trade-offs and driving alignment on system architecture
• Build and maintain production-grade systems across cloud and hybrid environments
• Develop and maintain Infrastructure-as-Code solutions to support scalable and repeatable deployments
• Implement and improve CI/CD pipelines, ensuring high-quality automated testing and reliable release processes
• Contribute hands-on to development across backend systems using Python and other modern programming languages
• Ensure high availability, performance, and operational excellence of systems in production
• Provide technical guidance and mentorship through code reviews and design collaboration
• Participate in production support, helping resolve issues quickly and effectively

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 8+ years of professional software engineering experience
• Experience designing and building large-scale distributed systems
• Strong programming skills in Python or another object-oriented language
• Experience developing cloud-native applications in AWS or similar cloud environments
• Hands-on experience with container technologies such as Kubernetes and Docker
• Experience building high-performance systems with strong reliability and scalability requirements
• Familiarity with CI/CD pipelines, version control (Git), and DevOps practices
• Strong foundation in computer science fundamentals including algorithms, data structures, and systems design
• Ability to work independently and translate high-level technical direction into working systems

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