layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

LAYIQ - Software Engineer III at Northwestern Mutual

Bachelor's degree in Computer Science, Engineering, or equivalent experience.
5+ years of professional software engineering experience building enterprise applications.
Demonstrated experience developing, deploying, and supporting AI and Generative AI solutions in production environments.
Strong software engineering fundamentals including object-oriented design, APIs, microservices, design patterns, and testing strategies.
Experience developing and supporting cloud-native applications utilizing AWS or similar cloud platforms.
Experience implementing DevOps practices including CI/CD, automated testing, release management, and operational support.
Strong architecture, debugging, troubleshooting, and technical problem-solving skills.
Understanding of application security principles, authentication, authorization, and secure development practices.
Ability to communicate technical concepts effectively with both technical and non-technical audiences.
Demonstrated ability to lead technical initiatives, mentor team members, and influence engineering best practices.
Experience working within Agile software development environments.
Nice to Have
Experience with Agentic AI frameworks and orchestration platforms.
Experience with Retrieval-Augmented Generation (RAG) architectures.
Experience integrating Large Language Models (LLMs) into enterprise applications.
Experience with prompt engineering, model evaluation, and responsible AI practices.
Experience with containerization technologies such as Docker and Kubernetes.
Experience with serverless architectures and event-driven systems.
Experience building observability and monitoring solutions for AI-enabled applications.
Exposure to AI-assisted software development tools and practices.
Prior technical leadership or solution architecture experience.
Skills You Have
AI & Generative AI Engineering: Designs, develops, deploys, and supports AI and Generative AI solutions in production environments. Applies knowledge of Agentic AI, LLMs, prompt engineering, model evaluation, retrieval-based solutions, and responsible AI practices to solve business problems and improve engineering outcomes.
Software Engineering: Designs, develops, tests, maintains, and supports scalable software applications throughout the full software development lifecycle. Applies modern engineering practices including APIs, microservices, design patterns, automated testing, and code quality standards.
Cloud-Native Engineering: Develops and supports cloud-native applications utilizing AWS and modern cloud platforms. Applies distributed systems, serverless computing, containerization, observability, and scalable architecture principles.
DevOps & Production Support: Implements CI/CD pipelines, automated testing, deployment processes, monitoring, and operational support practices that improve delivery speed, reliability, and system performance.
Architecture & Technical Problem Solving: Evaluates technical challenges, analyzes system dependencies, identifies root causes, and develops effective solutions that balance business needs, scalability, security, and maintainability.
Application Security: Integrates security practices throughout the software development lifecycle, including authentication, authorization, secure coding, vulnerability management, and protection of sensitive customer and business data.
Adaptive Communication: Communicates effectively with engineers, product teams, architects, leadership, and business stakeholders to drive alignment, influence decisions, and deliver successful business outcomes.
Technical Leadership & Mentoring: Provides technical guidance, mentorship, code reviews, and knowledge sharing while promoting engineering excellence, collaboration, and continuous improvement across the team.
Learning Agility & Innovation: Continuously evaluates emerging technologies, AI capabilities, and engineering practices while demonstrating curiosity, adaptability, ownership, and a commitment to ongoing learning and innovation.

Software Engineer III

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Equal opportunity and accommodations

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