• Implement scalable Go services (gRPC, MongoDB) with guidance from senior engineers • Work across AI workflows, automation logic, and integrations • Learn to make architecture decisions based on customer needs • Collaborate with customers and product team to understand requirements • Suggest improvements to technical implementations • Ship with fast iteration cycles and validate real-world impact • Bring questions and observations about edge cases and user experience • Learn to balance pragmatism with quality using "minimum lovable product" mindset • Work directly with customers to understand their problems

• Work as a member with significant influence in one of our agile Scrum teams to develop, enhance, and maintain Indra Avitech product solutions for the aviation industry • Participate in the entire development lifecycle from inception through testing, deployment, and support using the Scaled Agile Framework (SAFe) methodology • Create API interfaces and business services for aeronautical application components • Mentor junior developers, e.g., in preparing development tasks/tickets, conducting code reviews, and pair programming • Develop enterprise-grade, horizontally scalable code using best practices—efficiently and according to specifications

• Design, build and maintain the software that elevates our highly distributed corporate network. • Optimize our whitebox and commercial hardware solutions through novel application of proprietary, open source and commercial software. • Work closely with our IT department to solve complex problems to accelerate our game development pipelines and workflows. • Participate in studio playtests.

• Design, develop, and maintain secure, cloud-native services that scale with business and clinical needs. • Build and operate containerized applications leveraging Kubernetes and related technologies • Develop clean, testable, and maintainable code in Python, supporting both internal teams and external stakeholders • Implement integrations and workflows that streamline healthcare data processing (e.g., DICOM imaging, HL7 messaging) • Collaborate with cross-functional teams including Product, Data Science, Clinical, and Engineering to align technology with business goals • Ensure performance, resilience, and security best practices are embedded into all systems • Own end-to-end delivery of major features, from technical exploration and implementation through deployment and monitoring • Drive problem-solving including diagnosing and debugging complex issues in production environments, and driving them to full resolution