(AME4627) Technical Lead/ Application Architect

POSITION IS LOCATED IN TORRANCE, CA

Job Description:

The Technical Lead/Application Architect at Digital Services Development will provide technical leadership to design and develop meaningful digital experiences and strengthen our customer experience. The Tech Lead will lead and support digital application architecture, development, technical solutioning, implementation, and production engineering, including analysis and resolution of complex application and system issues.

Minimum Educational Qualifications - BS/MS degree

Key Responsibilities:

• 5-10 years of experience developing large-scale enterprise applications, distributed systems, and cloud-native backend platforms.

• 3+ years of experience in a senior technical leadership role such as Technical Lead, Lead Engineer, or similar hands-on engineering leadership positions.

• Contribute to application and solution architecture while leading the design, development, and implementation of enterprise-scale solutions utilizing Java/J2EE, Spring Boot, Spring Integration, Spring Data, JPA, Hibernate, and related technologies.

• Provide technical leadership and guidance to engineering teams through architecture reviews, design discussions, code reviews, and mentoring activities.

• Participate in architecture design governance, technology evaluation, technical decision-making, and solution reviews, including evaluation of alternative technical solutions and associated technical risks, to ensure alignment with enterprise standards and architectural best practices.

• Drive adoption of cloud-native architectures and modern engineering practices using AWS services including EKS, ECS, Lambda, API Gateway, S3, RDS, DynamoDB, SNS, SQS, EventBridge, IAM, CloudWatch, and related technologies.

• Design and implement scalable microservices, REST APIs, event-driven architectures, and enterprise integration solutions utilizing Kafka, Red Hat AMQ, JMS, and similar messaging platforms.

• Lead technical design and engineering decisions for highly available, secure, resilient, and scalable distributed systems following AWS Well-Architected Framework principles.

• Analyze and drive architectural decisions related to scalability, performance, reliability, security, maintainability, observability, and operational excellence.

• Collaborate with product owners, architects, infrastructure teams, security teams, and business stakeholders to analyze business and system requirements and translate them into technical specifications and solution designs.

• Champion DevOps, GitOps, and Infrastructure-as-Code practices utilizing tools such as Terraform, CloudFormation, Jenkins, ArgoCD, and related CI/CD technologies.

• Evaluate, adopt, and promote AI-assisted engineering capabilities using tools such as GitHub Copilot, Amazon Q, Cursor, Claude, OpenAI, and similar solutions to improve development productivity and software quality.

• Lead proof-of-concepts, technical feasibility assessments, technology evaluations, modernization initiatives, and engineering innovation efforts involving cloud, platform engineering, observability, and AI-assisted development.

• Evaluate architectural alternatives, technical dependencies, implementation approaches, and system integration considerations to determine appropriate solutions for enterprise applications.

• Act as a technical mentor and trusted advisor while fostering a culture of innovation, continuous learning, and engineering excellence.

• Experience working within Agile delivery models and leading distributed Agile engineering teams.

Nice-to-Have Skills:

• Proficiency in Python and experience with AI/ML frameworks and data-processing libraries.

• Experience integrating AI services using AWS Bedrock, Amazon Q, Azure AI, OpenAI, Anthropic Claude, or equivalent enterprise AI platforms.

• Experience in the Automotive industry.

• AWS, Kubernetes, AI/ML, or other relevant professional certifications.

The hiring range for this position is $59.00 to $66.00 per hour, which factors in various geographic regions. The base pay rate actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors.