• Responsible for designing, deploying, and optimizing robust API platforms for efficient data exchange, system integrations, and secure communication. • Provide backend or platform engineering, including distributed systems and API design • Designing, deploying, and operating real-time, low-latency API platforms at scale such as Apigee, Gravitee, Kong, AWS API Gateway, or Mulesoft • Deploy API discovery and security tools to ensure all APIs are inventoried, authenticated, authorized, and protected at runtime. • Supporting DevOps practices and technologies, including Docker, Helm, Kubernetes, and GitOps workflows • Designing, deploying, and operating with protocols, including HTTP, gRPC, or WebSockets, caching, load balancing, and API security • Support deployment of foundational ZTNA/SDP capabilities, integrating them with DoD identity services to enable strong, identity-based access control. • Access, store, transmit, and/or process Controlled Unclassified Information (CUI), Covered Defense Information (CDI), and Federal Contract Information (FCI) securely.

Role Description As a Senior AEM Backend Developer, you will work closely with architects, product owners, and cross-functional teams to design and implement backend solutions in Java and Spring Boot on AWS, translating business requirements into high-quality, production-ready code. You will be part of a global delivery team, taking ownership of complex backend features, contributing to architectural decisions, and helping drive Agile best practices across the team. - Design, develop, and maintain backend services using Java and Spring Boot, following microservices architecture patterns. - Model and evolve relational data stores, write performant SQL, and manage schema migrations in production environments. - Design, build, and consume RESTful APIs, applying versioning, contract testing, and clear integration patterns. - Deploy, operate, and troubleshoot services on AWS, working with compute (EC2, ECS, EKS, or Lambda), managed databases (RDS), storage (S3), messaging (SQS, SNS), and observability tooling (CloudWatch). - Implement observability practices across services: structured logging, metrics, tracing, and actionable alerting. - Lead code reviews, enforce coding standards, and mentor mid- and junior engineers on backend and cloud best practices. - Collaborate with architects to contribute to solution design decisions and technical documentation. - Debug, profile, and optimize performance at the service, database, and infrastructure level. - Contribute to CI/CD pipeline improvements and deployment automation. - Participate actively in Agile ceremonies (sprint planning, stand-ups, retrospectives, backlog refinement). - Communicate delivery status, technical risks, and blockers effectively to team leads and client stakeholders. Qualifications - Bachelor's Degree in Computer Science, Engineering, or a related field. - 5+ Years of backend software engineering experience. - 3+ Years of hands-on experience with Spring Boot and the broader Spring ecosystem (Spring Data, Spring Security, Spring Cloud). - Strong proficiency in Java (Java 11 or later), with a solid understanding of the JVM, concurrency, and modern language features. - Proven experience designing, building, and operating microservices in production. - Strong knowledge of relational databases (PostgreSQL, MySQL, or equivalent), including data modelling, indexing, and query optimization. - Working experience with AWS core services in a production environment, including compute, managed databases, storage, and networking fundamentals. - Solid understanding of RESTful API design, integration patterns, and API lifecycle management. - Working knowledge of containerization (Docker) and at least one orchestration platform (ECS, EKS, or Kubernetes). - Experience with Maven or Gradle build pipelines and dependency management. - Active use of AI coding tools as part of daily development workflow, particularly Claude Code, Windsurf, or equivalent. - Experience working in Agile/Scrum delivery environments. - Advanced English Level is required for this role, as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons. Benefits - Competitive USD salary. - 100% remote work: While you can work from anywhere, you’re always welcome to connect with teammates and grow your network at our coworking spaces across LATAM. - Paid off & national holidays: Take the time you need according to your country’s regulations while receiving your full salary. - Sick leave: Focus on your health without stress. Take the necessary time to recover and feel better. - Annual credit: Spend it on the perks you love to enhance your work-life balance. - Team-building activities: Join us for coffee breaks, tech talks, and after-work gatherings to bond with your Nortal family and feel part of our vibrant community. - Birthday off: Enjoy an extra day off during your birthday week to celebrate in style with friends and family.

• Designing, building, and maintaining backend services for the Imunify360 server platform; • Developing and improving high-throughput, fault-tolerant messaging and data processing pipelines; • Operating and maintaining core server components, including proxies, message brokers, caches, and databases; • Investigating and resolving complex issues in distributed systems, ensuring uptime and reliability; • Writing and maintaining unit/integration tests to ensure robust, maintainable code; • Collaborating with Infrastructure, Monitoring, and other product teams to refine architecture and optimize system performance; • Monitoring production services using Grafana, Telegraf, and related tooling, proactively addressing bottlenecks and scaling challenges; • Improving CI/CD pipelines for automated, efficient deployments; • Participating in design reviews, incident analysis, and contributing to the long-term technical vision of the team.

• Improve and expand the RustRover debugger across its C++ backend and Java/Kotlin frontend. • Implement new IDE run/debug configurations, such as remote development support. • Enhance Rust expression evaluation capabilities. • Investigate and fix OS-specific SIGSEGV errors in C++ code from LLDB. • Design clear, maintainable code and ensure the algorithms behind it are sound.