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# Technical Lead/Application Architect

- **Company:** CareerCircle
- **Location:** Torrance, CA, United States
- **Experience:** Expert
- **Salary:** $124,800.0 - $133,120.0
- **Contract:** Temporary to permanent
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon S3, Applications Architecture, Microsoft Azure, Cloud Engineering, Software Quality, Code Review, Cursor (Graphical User Interface Elements), DevOps, Distributed Systems, Amazon DynamoDB, Java Platform Enterprise Edition (J2EE), Event-Driven Programming, Hibernate (Java), Identity and Access Management, Industry Standard Architecture, Java Message Service (JMS), Java Persistence API, Spring Framework, Python (Programming Language), Machine Learning, Enterprise Messaging Systems, Octopus Deploy, Red Hat Enterprise Linux, Tensorflow, Scaled Agile Framework, Amazon Simple Notification Service (SNS), Data Processing, Enterprise Software Applications, GitHub Copilot, Spring-boot, Infrastructure as Code (IaC), Backend, Cloudformation, Servicebus, Spring Data, Event Driven Architecture, Amazon Relational Database Service, AI Platforms, Git Flow, Kubernetes, Infrastructure Automation Frameworks, Enterprise Integration, Apache Kafka, Functional Programming, Cloudwatch, Api Gateway, Restful APIs, Amazon Simple Queue Service (SQS), Terraform, Jenkins, Microservices
- **Published:** September 6, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/ca/torrance/4a458a9b-bed3-4483-b62a-34d066a22174

## About the Role

DevOps, GitOps
Jenkins
Argo CD
Terraform
Claude AI
Operations
Leadership
Mentorship
Governance
Innovation
Resilience
Kubernetes
Code Review
Scalability
Reliability
RESTful API
Spring Boot
API Gateway
Spring Data
AWS Bedrock
Apache Kafka
Microservices
Observability
GitHub Copilot
Microsoft Azure
Decision Making
Maintainability
Data Processing
Amazon DynamoDB
Customer Service
Technical Design
Machine Learning
Hibernate (Java)
Agile Methodology, * 5-10 years of experience developing large-scale enterprise applications, distributed systems, and cloud-native backend platforms.

 * 3+ years of experience in a technical leadership role or 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., Experience working within Agile delivery models and leading distributed Agile engineering teams.

Desired Skills (not must haves, but 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., Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

## Description

Business Valuation
AWS CloudFormation
Spring Integration
Amazon Web Services
Technical Leadership
Architectural Design
Business Requirements
Solution Architecture
Cloud-Native Computing
Full Stack Development
Enterprise Integration
Continuous Development
Artificial Intelligence
Business Transformation
Event-Driven Programming
Applications Architecture
Cloud-Native Architecture
Java Message Service (JMS)
Product Family Engineering
Infrastructure as Code (IaC)
Python (Programming Language)
Java Platform Enterprise Edition (J2EE), The Technical Lead/Application Architect will deliver exceptional support to develop meaningful digital experience and strengthen our customer experience. The Tech Lead will support all digital applications, architecture, development, production support, and solutioning., 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 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.

Drive architectural considerations related to scalability, performance, reliability, security, maintainability, observability, and operational excellence.

Collaborate with product owners, architects, infrastructure teams, security teams, and business stakeholders to translate business requirements into technical solutions.

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, technology evaluations, modernization initiatives, and engineering innovation efforts involving cloud, platform engineering, observability, and AI-assisted development.

Act as a technical mentor and trusted advisor while fostering a culture of innovation, continuous learning, and engineering excellence., DevOps, GitOps
Jenkins
Argo CD
Terraform
Claude AI
Operations
Leadership
Mentorship
Governance
Innovation
Resilience
Kubernetes
Code Review
Scalability
Reliability
RESTful API
Spring Boot
API Gateway
Spring Data
AWS Bedrock
Apache Kafka
Microservices
Observability
GitHub Copilot
Microsoft Azure
Decision Making
Maintainability
Data Processing
Amazon DynamoDB
Customer Service
Technical Design
Machine Learning
Hibernate (Java)
Agile Methodology
Amazon CloudWatch
Business Valuation
AWS CloudFormation
Spring Integration
Amazon Web Services
Technical Leadership
Architectural Design
Business Requirements
Solution Architecture
Cloud-Native Computing
Full Stack Development
Enterprise Integration
Continuous Development
Artificial Intelligence
Business Transformation
Event-Driven Programming
Applications Architecture
Cloud-Native Architecture
Java Message Service (JMS)
Product Family Engineering
Infrastructure as Code (IaC)
Python (Programming Language)
Java Platform Enterprise Edition (J2EE)
+0


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