Autodesk is hiring a Senior Software Development Engineer in Bengaluru for its Horizontal Capabilities Team, a group focused on building shared frameworks, reusable components, platforms and services that enable Autodesk product teams to deliver software faster and more reliably. This is a highly technical opportunity combining full-stack development, AWS, distributed systems, AI/GenAI, data engineering, Kubernetes and DevOps.
📍 Location: Bengaluru, Karnataka, India
💼 Position: Senior Software Development Engineer
🧑💻 Experience: 5+ Years
🆔 Job Requisition ID: 26WD97535
🎯 Focus: Backend + Cloud + AI + Distributed Systems
🏢 About Autodesk
Autodesk is a global software company whose technology is used across architecture, engineering, construction, product design, manufacturing, media and entertainment. Its Design and Make Platform connects people, data and workflows across these industries.
Autodesk’s technology portfolio includes well-known products such as AutoCAD, Fusion, Revit, Maya and Autodesk Construction Cloud. The company is also increasingly integrating AI into its products and platform. Autodesk describes Autodesk AI as technology designed to augment creativity, automate repetitive work and provide intelligent insights.
💻 Why This Role Is Excellent for Your Experience
The role covers:
- ⚛️ React and full-stack development
- 🟢 Node.js, Java or Go
- ☁️ AWS cloud architecture
- 🏗️ Distributed systems and microservices
- 📨 Kafka and event-driven systems
- 🗄️ PostgreSQL, MySQL and DynamoDB
- 🐳 Docker and Kubernetes
- 🔄 CI/CD and infrastructure as code
- 📊 ETL and large-scale data workflows
- 🤖 LLMs, RAG, vector search and AI agents
- 🔍 Observability, scalability and reliability
- 🧪 Unit, integration and E2E testing
🧠 Skills Required for This Autodesk Role
Core: React.js, Node.js/Java/Go, JavaScript/TypeScript, REST APIs, microservices, OOP and software architecture.
Cloud: AWS, IAM, compute, storage, data-processing services, cloud architecture and cost-aware design.
Distributed Systems: Kafka, asynchronous processing, scalability, fault tolerance, caching, concurrency and service reliability.
Databases: PostgreSQL, MySQL, DynamoDB and preferably experience with analytical systems such as Redshift, Snowflake or ClickHouse.
DevOps: Docker, Kubernetes, Jenkins, GitHub Actions, Terraform and/or AWS CDK.
AI/GenAI: LLMs, embeddings, vector databases, prompt engineering, RAG, AI-agent workflows and AI orchestration.
Data Engineering: ETL, data pipelines, schema design, data transformation and analytical workloads.
🎯 Expected Autodesk Interview Rounds
For this particular Senior Software Development Engineer role, prepare for:
Round 1 – Recruiter Screening: Experience, location, compensation, notice period and alignment with the position.
Round 2 – Hiring Manager: Project ownership, technical depth, leadership, architecture experience and why you want Autodesk.
Round 3 – Functional/Coding Assessment: Coding, problem-solving, programming fundamentals and potentially role-specific technical exercises.
Round 4 – Technical Panel: Expect discussions around distributed systems, AWS, microservices, databases, Kafka, Kubernetes, CI/CD and full-stack architecture.
Round 5 – AI/System Design Deep Dive: Be ready to design production-grade AI systems involving RAG, vector search, LLMs, agents, security and observability.
💰 Expected Salary Range
Public salary data for Autodesk indicates substantial variation by seniority and role. AmbitionBox reports Senior Software Engineer salaries at Autodesk around ₹14–50.5 LPA, while Glassdoor data includes Bengaluru Senior Software Engineer II compensation of ₹56–64 LPA for a reported 7–9 year employee.
For this 5+ year Senior Software Development Engineer position, a practical market-oriented expectation could be approximately ₹25–45 LPA total compensation, with highly experienced candidates possessing strong cloud, distributed systems and production GenAI expertise potentially targeting the upper end or beyond.
🔥 Preparation Tip
The biggest mistake would be preparing this as a traditional full-stack interview. AI + distributed systems + AWS are major differentiators in this JD.
Prepare one system-design problem such as:
“Design a production-grade RAG platform used by millions of users.”
Explain the complete architecture: document ingestion → chunking → embeddings → vector database → retrieval → LLM → response generation → caching → observability → security → evaluation.
Then add a second layer: “How would you make the system reliable and cost-efficient at scale?”
Discuss asynchronous processing, caching, rate limiting, model selection, autoscaling, retries, monitoring and failure recovery.
For AWS, prepare architecture rather than definitions. Know how you would combine compute, storage, databases, messaging and monitoring.
For Kafka, understand partitions, consumer groups, ordering, offsets, retries and dead-letter queues.
For Kubernetes, revise deployments, services, pods, autoscaling, configuration, secrets and rolling updates.
📄 Resume Tips for Autodesk
Your resume should position you as a Senior Software Engineer who builds scalable platforms, not simply someone who knows multiple technologies.
Recommended headline:
Senior Software Engineer | Full Stack | AWS | Distributed Systems | GenAI | Microservices | Kubernetes
Prioritize measurable architecture achievements:
- “Designed scalable microservices handling X million requests/day.”
- “Built AWS-based services reducing infrastructure cost by X%.”
- “Implemented Kafka-based event processing for X million events/day.”
- “Built production RAG solution using embeddings and vector search.”
- “Reduced API latency by X% through caching and database optimization.”
- “Implemented CI/CD and infrastructure-as-code using GitHub Actions/Terraform.”
📩 How to Apply
👉 Application Link: Click Here
Interested candidates should apply directly through the official Autodesk Careers portal and search for Job Requisition ID 26WD97535 – Senior Software Development Engineer.
📌 Before submitting your application, tailor your resume around these five themes:
Full Stack → AWS → Distributed Systems → AI/GenAI → Data Engineering
Autodesk also recommends candidates be prepared to discuss their achievements and the value they can bring to the company, and candidates with portfolios or work samples should be ready to share them.
🚀 Final Takeaway
This Autodesk opportunity is particularly attractive for engineers who want to combine senior-level software engineering with cloud, AI and platform development. The role isn’t limited to building one application—it focuses on reusable capabilities that can enable product teams across Autodesk.
If you have 5+ years of experience and can demonstrate real production experience with AWS, distributed systems and modern AI applications, this could be a strong next step toward high-impact platform and AI engineering roles. 🚀
