Senior Software Engineer, Agentic AI

Autodesk

. Design, develop, and operate resilient, scalable, high-performing cloud-native Java microservices and distributed systems on AWS .

Posted 10/13/2026full-timeRemote • Texas • United StatesSenior💰 $117,000 - $209,330 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and operating cloud-native Java microservices on AWS, with a strong focus on resiliency, scalability, and performance optimization. Proficient in leading project delivery, mentoring engineers, and implementing engineering best practices across development pipelines.

Highest-signal resume keywords

Java Microservices DevelopmentAWS Cloud ServicesSpring Boot FrameworkCI/CD ImplementationSpec-Driven Development

ATS Keywords

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Hard Skills

JavaSpring BootUnit TestingIntegration TestingSystem TestingDebuggingEvent-Driven StreamingDockerAWS ContainersAI-Powered Systems

Soft Skills

CollaborationCommunicationMentoring

Tools & Technologies

JenkinsGitHub ActionsKinesisKafkaECS FargateLambdaDynamoDBAPI GatewaysOpenTelemetryResponsible AI Practices

Industry Keywords

Cloud-NativeMicroservicesDistributed SystemsProduction SupportIncident Response

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsDockerDynamoDBGradleJavaJenkinsKafkaMavenMicroservicesPythonSpringSpring BootSpringBoot

About the role

Key responsibilities & impact

Design, develop, and operate resilient, scalable, high-performing cloud-native Java microservices and distributed systems on AWS
Own business features and platform initiatives end to end, from requirements analysis through production support
Collaborate with product and engineering partners on design, testing, and operational readiness
Enhance resiliency, reliability, scalability, and security; optimize performance and troubleshoot production issues
Implement engineering best practices across development and delivery pipelines
Lead medium-to-large project delivery by organizing scope, estimating effort, establishing timelines, and driving initiatives independently
Apply spec-driven development in platform and feature delivery
Build and extend agentic systems and automation, including composable skills, MCP integrations, and knowledge retrieval
Deliver proactive triage and write-action automation with human-in-the-loop gates
Enforce production standards for agentic systems through evaluation, CI quality gates, and end-to-end observability
Provide production support, lead incident response and root cause analysis, and participate in shared on-call rotation
Support production systems outside standard business hours according to team schedule
Mentor engineers and uphold sound engineering practices
Report to the Senior Engineering Manager and collaborate with Product Managers, Architects, Domain Leads, and cross-functional stakeholders

Requirements

What you’ll need

Bachelor's degree or higher in Computer Science, Engineering, or a related field, or equivalent practical experience
6+ years of progressive software engineering experience building and operating Java microservices and serverless architectures in production
Strong Java and Spring Boot skills
Unit, integration, and system testing experience
Strong debugging in local and integrated environments
Hands-on experience building or integrating AI-powered systems, including agents, LLM-based applications, RAG, or tool-calling workflows
Experience with spec-driven development (SDD)
Experience with event-driven streaming such as Kinesis or Kafka
Experience with Docker and AWS containers, including ECS Fargate
Experience with CI/CD using Jenkins or GitHub Actions
Experience with core AWS services including Lambda, DynamoDB, messaging, API gateways, logging, and monitoring
Strong collaboration and communication skills
Preferred: Python and FastAPI; MCP servers or equivalent tool-use frameworks
Preferred: RAG, proactive or event-driven agents, and agentic AI for engineering workflows, operational automation, or DevOps
Preferred: LLM evaluation frameworks, multi-agent patterns, and human-in-the-loop review gates
Preferred: Kinesis/Kafka streaming, REST publish, SNS/SQS/DLQ patterns, Gradle or Maven, OpenTelemetry, and AI tracing tools
Preferred: OPA, OAuth, Entra ID, and Responsible AI practices

Benefits

Comp & perks

Annual cash bonuses may be included
Stock grants may be included
Comprehensive benefits package
Health and financial benefits
Time away and everyday wellness benefits
In-person onboarding and/or in-person ID verification may be provided or required