Autodesk

SeniorSoftwareDevelopmentEngineer

₹25–45L ~AI est. Bengaluru, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Software Development Engineer at Autodesk. Skills: Full-stack development, Distributed systems, AI applications, Data engineering. Design scalable applications. Develop scalable applications”

What You'll Achieve.

Enable faster delivery; Enable reliable delivery; Eliminate duplication; Focus on business innovation; Strengthen application foundation; Enable consistent delivery; Enable higher-quality delivery; Improve engineering productivity; Improve development velocity; Improve code quality

Industry & Context.

Problems you'll solve

Problem-solving

Eligibility Requirements

On-call rotation

What They're Looking For.

Must Have

5+ years software development, Proficiency in React.js, Proficiency in Node.js, Java, or Go, Understanding of distributed systems, Understanding of microservices architecture, Hands-on AWS experience, Experience with Docker, Experience with Kubernetes, Experience with relational databases, Experience with NoSQL databases, Experience with Kafka or similar, Hands-on AI application building, Understanding of AI/ML fundamentals, Understanding of data engineering workflows, Understanding of ETL processes, Familiarity with automation tools, Familiarity with testing frameworks, Familiarity with CI/CD tools, Familiarity with infrastructure-as-code tools, Excellent problem-solving skills

What You'll Do.

Design scalable applications

Develop scalable applications

Design fault-tolerant applications

Develop fault-tolerant applications

Design distributed architectures

Implement distributed architectures

Implement CI/CD pipelines

Develop automated test suites

Maintain automated test suites

Work with messaging systems

Build AI applications

Build developer tools

Integrate AI/ML capabilities

Participate in code reviews

Mentor junior engineers

Engage in architectural discussions

Participate in on-call rotation

Leverage AI-assisted tools

How You'll Work.

Team & Collaboration

Collaborative team environment; Product teams; Cross-functional teams

Full Job Description

**Job Requisition ID #** 26WD97535 **Position Overview:** We are seeking talented engineers to join our Horizontal Capabilities Team. The team is responsible for building the core frameworks, shared services, reusable components and platforms that enable faster and more reliable delivery across all product lines. This includes designing and implementing common modules, frameworks and automation solutions that eliminate duplication and allow product teams to focus on business innovation. Our focus is on creating scalable and extensible systems that serve as building blocks for product teams. By joining this team, you will play a key role in strengthening the foundation of all applications and enabling consistent, faster and higher-quality delivery. **Responsibilities :** * Design and develop scalable and fault-tolerant applications across the full stack using React on the frontend and Node.js / Java / Go on the backend * Design and implement distributed architectures leveraging AWS services * Work with relational and NoSQL databases such as Postgres, MySQL, DynamoDB etc * Implement automation and CI/CD pipelines to ensure fast, reliable, and repeatable deployments using Jenkins, GitHub Actions or similar tools along with infrastructure-as-code tools like terraform, AWS CDK * Develop and maintain automated test suites - unit, integration, and E2E * Work with messaging systems such as Kafka or similar to enable event-driven architectures. * Build production-grade AI applications and developer tools leveraging LLMs, AI orchestration frameworks, vector databases, RAG pipelines, and AI agent workflows * Integrate AI/ML capabilities into products and internal platforms with focus on scalability, observability, security, and reliability * Build and maintain ETL pipelines and data workflows for ingesting, transforming, and analyzing large datasets * Design schemas, optimize queries, and manage workloads for analytical systems such as Amazon Redshift, Snowflake or ClickHouse

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