Sr Full Stack Engineer

Sr Software Engineer, Innovations play a pivotal role in designing, developing, and deploying cloud-native applications that leverage the latest technologies and architectural principles.

Responsibilities

• Architect, design, and develop microservices-based applications to maintain and enhance scalability.
• Utilize containerization technologies to package and deploy application components consistently across various environments.
•  Implement and manage container orchestration for automated deployment, scaling, and operation of application services.
• Collaborate with cross-functional teams to implement DevOps practices, including Continuous Integration/Continuous Deployment pipelines, infrastructure as code (IaC), and automated testing.
• Architect and implement solutions that scale horizontally to meet dynamic and changing workloads while optimizing resource utilization.
• Design and implement resilient and fault-tolerant applications, ensuring high availability and quick recovery from failures.
• Implement robust monitoring and logging practices, leveraging tools like Prometheus and Grafana to ensure visibility into application performance.
• Champion API-first design principles, creating well-defined and documented APIs to facilitate seamless communication between microservices and external systems.
• Embrace and apply agile methodologies for rapid and iterative development cycles, responding quickly to changing requirements and delivering high-quality software.
• Document work clearly and follow established coding standards and practices.
• Mentor and guide other developers, conducting code reviews, design reviews, and fostering a culture of engineering excellence and continuous learning.
• Other duties and responsibilities as assigned.

Required

• Master's degree in Computer Science or related field of study from an accredited college or university. In lieu of degree, 6+ years of experience.
• 6+ years of experience in software development, designing, developing and deploying cloud-native applications.
• Expertise in utilizing AI for increased productivity and software quality, including code generation, debugging, test automation, and log anomaly detection.
• Expertise in multiple programming languages such as C#, Rust, Python, or similar, and proficiency in relevant frameworks and libraries.
• Expertise in backend development and working knowledge of databases (e.g., SQL, NoSQL).
• Expertise in JavaScript frameworks like Angular.js, Vue.js or React.js for building single-page applications.
• Experience with scalable and resilient system design.
• Experience in Enterprise software design principles: cloud native application design (i.e., SOLID, 12 Factor applications, or similar), distributed message and event processing, API gateway, service mesh, serverless applications.
• Experience with event-driven architecture and real-time data processing using technologies like Kafka or RabbitMQ for building responsive, scalable systems.
• Experience with integrating machine learning and AI models into software applications.
• Knowledge of ISO standards such as ISO 27001 (information security), ISO 9001 (quality management), or related frameworks.
• Strong knowledge of microservices security, including OAuth 2.0, OpenID Connect, secrets management, zero-trust architecture, and secure API design.

Preferred

• Knowledge in Python and relevant libraries/frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, and LangChain.
• Hands-on experience with GenAI and LLMs, including fine-tuning, prompt engineering, and deploying RAG-based solutions.

Knowledge/Skills/Abilities

• Skilled in developing and consuming RESTful APIs, and GraphQL
• In-depth knowledge in microservices architecture, containerization, and orchestration tools (e.g., Docker, Kubernetes.
• In-depth understanding of DevOps practices, CI/CD pipelines, and infrastructure automation.
• Experience in cloud platforms (e.g., AWS, Azure, GCP) and infrastructure-as-a-service (IaaS) offerings.
• Experience in with monitoring, logging, and observability tools like Prometheus and Grafana.
• Demonstrated effective interpersonal, verbal and written communication skills.
• Interest in AI ethics, data privacy, and compliance standards (e.g., HIPAA).

Benefits

• Medical, dental, and vision insurance
• Paid time off
• Tuition Reimbursement
• 401K
• Paid time to volunteer in your local community