Software Engineer II- Full Stack Developer

Full Job Description

We are looking for a passionate, innovative, high energy individual contributor who can deal with ambiguity and challenge the status-quo to deliver automation capabilities that power the long-range execution planning efforts, drive workflow improvements and build solutions to assist in the delivery of large-scale data centers through efficient management of cost and schedule. You will: Write high quality, maintainable, reusable code following SOLID principles Collaborate with and demonstrate features developed to stakeholders in an Agile environment Resolve complex system integration challenges working with other members of the team and external teams Share learnings and code assets developed with the CO+I engineering team Leverage subject-matter expertise of product features and partners with appropriate stakeholders (e.g., project managers) to drive a workgroup's project plans, release plans, and work items Act as a Designated Responsible Individual (DRI) and guide other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale Bachelor's degree in engineering, Computer Science, or a related technical field, along with 4+ years of software engineering experience and demonstrated expertise in developing, maintaining, and delivering production software using one or more programming languages, including C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python. Experience in building and operating production CI/CD or release pipelines for complex distributed systems. Experience troubleshooting build, test, and release failures across multiple layers of the stack. Proven ability to improve engineering systems through automation, observability, and process simplification. Proficiency in one or more languages such as C#, Python, Java, JavaScript, or TypeScript. Experience in designing and developing cloud-based applications, APIs, distributed services, or enterprise platforms. Understanding of object-oriented design, data structures, algorithms, design patterns, and system-design fundamentals. Practical knowledge of generative AI concepts, including LLMs, prompt engineering, embeddings, RAG, and AI agents. Good problem-solving, debugging, communication, and cross-team collaboration skills. Good to have experience with Azure OpenAI, Azure AI Foundry, or similar technologies. Familiarity with containers, Kubernetes, infrastructure as code, and managed-identity security patterns. Experience with microservices, event-driven architectures, distributed systems, caching, and performance optimization. These requirements include, but are not limited to the following specialized security screenings: