Autodesk

1 day ago

Senior Software Engineer, Agentic AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Design and operate resilient, scalable cloud services for the Product Access platform, owning end-to-end solution delivery from requirements through production support. Build Java microservices and distributed systems on AWS, improve reliability and security, and lead medium-to-large initiatives. Extend agentic automation using spec-driven development, MCP integrations, and RAG/tool-calling workflows, with evaluation and CI quality gates. Participate in shared on-call incident response and mentor engineers.

Location: California, San Francisco, Washington, Oregon

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, develop, and operate resilient, scalable cloud-native Java microservices and distributed systems on AWS for the Product Access platform.
•Own business features and platform initiatives end to end, from requirement analysis through production support and operational readiness.
•Enhance resiliency, reliability, scalability, and security; optimize performance and troubleshoot production issues while applying engineering best practices.
•Lead project delivery by organizing scope, estimating effort, establishing timelines, and driving medium-to-large initiatives independently.
•Build and extend agentic systems and automation (composable skills, MCP integrations, knowledge retrieval), enforce evaluation/CI quality gates, and participate in shared on-call incident response while mentoring engineers.

Pay and Benefits

Salary: USD 117,000 - 209,330 annually

Equity and Bonus:Equity

Key Requirements

•Bachelor's degree or higher in Computer Science/Engineering (or equivalent practical experience).
•6+ years building and operating Java microservices and serverless architectures in production.
•Strong Java and Spring Boot skills with solid unit, integration, and system testing and debugging ability.
•Hands-on experience with AI-powered systems such as agents, LLM-based applications, RAG, or tool-calling workflows.
•Experience with spec-driven development (SDD) and AWS event streaming and CI/CD (e.g., Kinesis/Kafka, Docker/ECS Fargate, Jenkins/GitHub Actions, Lambda, DynamoDB).

Experience:6+ yearsAI-powered systemsCloud-native microservicesServerlessAWSEvent-driven architecture

Education:Bachelor's in Computer Science, Engineering, or a related field

Skills:CollaborationCommunicationTroubleshootingMentoringEngineering best practices

Tech Stack:JavaSpring BootPythonFastAPIAWSECS FargateLambdaDynamoDBSQSAPI GatewayCloudWatchOpenSearchDockerGitHubJenkinsGitHub ActionsGradleMavenKinesisKafka

Company Brief

Autodesk

Provides design and engineering software for architecture, construction, manufacturing, media, and entertainment industries, offering CAD, BIM, and 3D modeling tools to enable product and infrastructure design workflows.

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Rafael, United States

Founded: 1982

Glassdoor: 3.9

Website LinkedIn Glassdoor

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Autodesk

1 day ago

Senior Software Engineer, Agentic AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: California, San Francisco, Washington, Oregon

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, develop, and operate resilient, scalable cloud-native Java microservices and distributed systems on AWS for the Product Access platform.
•Own business features and platform initiatives end to end, from requirement analysis through production support and operational readiness.
•Enhance resiliency, reliability, scalability, and security; optimize performance and troubleshoot production issues while applying engineering best practices.
•Lead project delivery by organizing scope, estimating effort, establishing timelines, and driving medium-to-large initiatives independently.
•Build and extend agentic systems and automation (composable skills, MCP integrations, knowledge retrieval), enforce evaluation/CI quality gates, and participate in shared on-call incident response while mentoring engineers.

Pay and Benefits

Salary: USD 117,000 - 209,330 annually

Equity and Bonus:Equity

Key Requirements

•Bachelor's degree or higher in Computer Science/Engineering (or equivalent practical experience).
•6+ years building and operating Java microservices and serverless architectures in production.
•Strong Java and Spring Boot skills with solid unit, integration, and system testing and debugging ability.
•Hands-on experience with AI-powered systems such as agents, LLM-based applications, RAG, or tool-calling workflows.
•Experience with spec-driven development (SDD) and AWS event streaming and CI/CD (e.g., Kinesis/Kafka, Docker/ECS Fargate, Jenkins/GitHub Actions, Lambda, DynamoDB).

Experience:6+ yearsAI-powered systemsCloud-native microservicesServerlessAWSEvent-driven architecture

Education:Bachelor's in Computer Science, Engineering, or a related field

Skills:CollaborationCommunicationTroubleshootingMentoringEngineering best practices

Tech Stack:JavaSpring BootPythonFastAPIAWSECS FargateLambdaDynamoDBSQSAPI GatewayCloudWatchOpenSearchDockerGitHubJenkinsGitHub ActionsGradleMavenKinesisKafka

Company Brief

Autodesk

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Rafael, United States

Founded: 1982

Glassdoor: 3.9

Website LinkedIn Glassdoor