Full Stack Developer

• Design, and lead the development of enterprise-scale applications using Java, Spring Boot, React, and Node.js.
• Define and implement scalable microservices architectures supporting media processing, AI-driven workflows, and real-time integrations.
• Lead the design and development of services that handle video, audio, image, and document ingestion, processing, and storage.
• Develop integrations with Azure OpenAI, Azure AI Speech, and other AI/ML services for transcription, text-to-speech, document intelligence, and advanced data extraction capabilities.
• Design secure, resilient, and highly available cloud-native solutions leveraging Azure services, including Blob Storage, Kubernetes, App Services, and containerized workloads.
• Establish architecture standards, design patterns, and best practices for security, observability, performance, and reliability.
• Drive API strategy, ensuring scalable, secure, and reusable RESTful and event-driven integrations across platforms.
• Collaborate with Product, UX, Engineering, DevOps, Security, and Infrastructure teams to deliver end-to-end solutions aligned with business objectives.
• Provide technical leadership, mentorship, and architectural guidance to development teams while contributing hands-on to critical implementations.
• Lead architecture reviews, technology evaluations, and technical decision-making processes.
• Ensure compliance with security, governance, privacy, and regulatory requirements across the application ecosystem.
• Drive performance optimization, scalability improvements, and operational excellence for both real-time and batch processing workloads.
• Partner with cloud and platform engineering teams to establish CI/CD, Infrastructure-as-Code, and DevSecOps best practices.

• Bachelor’’'’s degree in Engineering, Computer Science, or a related technical discipline.
• 10+ years of software engineering experience, including enterprise application design and development.
• 8+ years of hands-on experience with Java and Spring Boot, including designing and implementing microservices architectures.
• 8+ years of experience with React and modern front-end architectures, including component-based design and state management frameworks.
• Strong experience with Node.js, RESTful APIs, API gateways, and event-driven architectures.
• Proven experience architecting and delivering cloud-native solutions on Microsoft Azure and/or AWS.
• Hands-on expertise with Azure services including Storage, App Services, AKS, Azure Functions, Cognitive Services, and containerized platforms.
• Experience integrating AI/ML platforms such as Azure OpenAI, OpenAI, Azure AI Speech, Document Intelligence, Computer Vision, or similar technologies.
• Strong understanding of enterprise architecture principles, distributed systems, scalability, resiliency, and high-availability design.
• Experience designing secure applications, authentication and authorization frameworks, identity management, and data protection strategies.
• Expertise in modern software engineering practices including CI/CD, automated testing, code quality, observability, and DevSecOps.
• Demonstrated ability to lead technical initiatives and influence architecture decisions across multiple teams.
• Strong communication and stakeholder management skills, with the ability to effectively engage developers, architects, product managers, business analysts, QA teams, and executive leadership.
• Strong analytical, troubleshooting, and problem-solving skills with the ability to design innovative and efficient solutions.
• Proficiency with GitHub, Jira, Confluence, and Agile development methodologies.
• Ability to balance strategic architectural thinking with hands-on technical execution.

Nice to Have

• Experience building solutions involving audio, video, image processing, and media streaming platforms.
• Experience with WebSockets, event streaming, Kafka, Azure Event Hub, or real-time communication frameworks.
• Experience with Terraform, GitHub Actions, Azure DevOps, or other Infrastructure-as-Code and automation tools.
• Experience designing AI-powered enterprise solutions and Generative AI applications.
• Experience with Kubernetes (AKS), Docker, and cloud-native platform engineering.
• Familiarity with enterprise integration patterns, messaging platforms, and API management solutions.
• Experience working in highly regulated, public safety, healthcare, financial, or government environments.
• Prior experience serving as a Technical Lead, Solution Architect, or Principal Engineer.