Autodesk Principal Software Development Engineer AWS/Azure

Job description

<p><p><b>Location :</b> Bengaluru, IN (Hybrid)<br/><br/><b>Position Overview :</b><br/><br/>As a Principal Software Development Engineer, you will join the Engineering & DevOps Services (EDS) team within AI, Data & Automation (AIDA) at Autodesk.<br/><br/>Our team drives the Enterprise AI Strategy by building and operationalising the Enterprise AI Fabric, enabling intelligent search, LLM-powered workflows, and AI-driven agents across Autodesk.<br/><br/>Our team has a lot of visibility and the impact of our work is directly related to Autodesk business results.<br/><br/>We value the culture, transparency and collaboration in our team and at Autodesk in general, we take pride in our global diversity and how we work and talk with one another.<br/><br/>This is a hybrid role based in Bengaluru, India.<br/><br/><b>Job Description :</b> <br/><br/>We are looking for a highly skilled Principal Software Development Engineer (SDE-IV) to lead the development and operationalisation of AI Platforms.<br/><br/>This role combines hands-on engineering with platform ownership, ensuring the successful implementation of tools and frameworks that enable intelligent search, LLM-powered actions, and AI-driven productivity agents across the organisation.<br/><br/>You will play a pivotal role in designing, building, and deploying AI-enabled solutions that integrate with enterprise collaboration platforms and intranet websites.<br/><br/>As a senior engineer, you will also guide junior developers, influence architectural decisions, and ensure scalability, security, and adoption of enterprise AI tools.<br/><br/><b>Responsibilities :</b><br/><br/><b>Technical Excellence & Engineering :</b><br/><br/>- Demonstrate deep expertise in areas such as cloud infrastructure, distributed systems, and event-driven architectures<br/><br/>- Design and evolve large-scale, reliable, and secure systems with a focus on performance, maintainability, and operational excellence<br/><br/>- Stay hands-on when neededprototyping, debugging, and delivering high-impact components<br/><br/>- Apply deep platform development expertise in AWS Cloud, including caching, load balancing, auto-scaling, database redundancy and resiliency, performance monitoring, hosting patterns, and full-stack platform architecture across all layers<br/><br/><b>Platform Engineering & Architecture :</b><br/><br/>- Build foundational platforms and shared services that enable rapid development and innovation across multiple teams<br/><br/>- Design systems for extensibility, multi-tenancy, and future growth not just immediate product requirements<br/><br/>- Champion reusable building blocks over siloed point solutions<br/><br/>- Drive adoption of AI Agent Platforms, working with emerging standards like MCP, embedding Trusted AI governance, and enabling LLM-powered actions across enterprise systems<br/><br/><b>Strategic & Business Alignment :</b><br/><br/>- Connect technical decisions to broader business goals (e.g., cost optimization, customer impact, faster time to market)<br/><br/>- Prioritize initiatives based on a balance of technical merit and strategic business value<br/><br/>- Influence product direction through a strong technical voice in cross-functional forums<br/><br/><b>Technical Leadership :</b><br/><br/>- Lead through influence and expertise across diverse engineering teams<br/><br/>- Drive architectural decisions, mentor senior engineers, and contribute to a culture of engineering rigor and excellence<br/><br/>- Facilitate knowledge sharing, tech strategy reviews, and cross-team collaboration<br/><br/><b>Systems Thinking & Complex Problem Solving :</b><br/><br/>- Approach challenges holistically, considering code, infrastructure, team dynamics, and business context<br/><br/>- Navigate ambiguity and deliver clarity through well-thought-out decisions and forward-looking designs<br/><br/>- Balance short-term execution with long-term system health and scalability<br/><br/><b>Cross-Functional Communication & Collaboration :</b><br/><br/>- Communicate clearly and effectively with technical and non-technical audiences, from engineers to executives<br/><br/>- Adapt communication styles to suit the audience technical deep dives vs.

strategic roadmaps<br/><br/>- Build strong partnerships with Product, Infrastructure, Security, and Business teams<br/><br/><b>Execution & Results Delivery :</b><br/><br/>- Own delivery from concept through deployment and adoption ensuring business and customer impact<br/><br/>- Decompose complex initiatives into actionable work across teams, ensuring high-quality execution<br/><br/>- Lead cross-team engineering programs with clarity, accountability, and alignment<br/><br/><b>Adaptability & Continuous Learning :</b><br/><br/>- Stay current on evolving technologies, best practices, and industry trends<br/><br/>- Encourage experimentation and innovation in tools, architecture, and engineering processes<br/><br/>- Foster a team culture grounded in curiosity, learning, and continuous improvement<br/><br/><b>Minimum Qualifications :</b><br/><br/>- 10+ years of professional software development experience, including deep expertise in building and scaling distributed systems, cloud-native platforms (AWS, Azure, or GCP), and event-driven architectures<br/><br/>- Proven platform development experience in AWS Cloud across caching, load balancing, auto-scaling, database redundancy/resiliency, performance monitoring, hosting patterns, and full-stack platform architecture<br/><br/>- Expertise in Python (or similar modern programming languages) with experience delivering scalable, production-grade systems<br/><br/>- Demonstrated ownership of end-to-end system design, development, and operational excellence for critical production systems<br/><br/>- Strong understanding of security best practices, observability (monitoring, logging, alerting), and reliability engineering principles<br/><br/>- Experience in designing and evolving AI/LLM-driven platforms, including AI Agent Platforms, MCP, Trusted AI governance, and LLM-enabled enterprise actions<br/><br/>- Proven ability to design and evolve foundational platforms that accelerate development across multiple business units<br/><br/>- Demonstrated ownership of initiatives from idea to production launch, with measurable business or customer impact<br/><br/>- Experience working across multiple technical domains (e.g., backend, cloud infrastructure, security, data engineering, automation, CI/CD) and demonstrated ability to quickly ramp up on new technologies<br/><br/>- Experience leading cross-functional initiatives and collaborating with product, security, operations, infrastructure, and business teams<br/><br/>- Ability to solve ambiguous, complex problems by considering technical, business, and organizational perspectives<br/><br/>- Excellent communication and influencing skills with the ability to engage diverse technical and non-technical stakeholders, including senior leadership<br/><br/>- Experience mentoring senior engineers and fostering a culture of engineering excellence<br/><br/>- Bachelors degree in Computer Science, Engineering, or related technical field (or equivalent practical experience)<br/><br/><b>Preferred Qualifications :</b><br/><br/>- Experience in participating or driving "Tech Culture" initiatives like Engineering Excellence and Reliability Programs<br/><br/>- Masters degree in Computer Science or a related technical discipline<br/><br/>- Experience in building AI and Machine Learning solutions, with practical exposure to AI Agent Platforms, Trusted AI, and LLM-enabled automation<br/><br/>- Experience scaling systems to users or high-throughput enterprise environments<br/><br/>- Contributions to open-source projects, technical publications, or speaking at major industry events<br/><br/>- Hands-on experience with modern DevOps practices, CI/CD pipelines, and infrastructure as code (IaC)</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations