Principal Engineer, Platform Services

Autodesk•San Francisco, CA

10d•$139,000 - $249,260

About The Position

Autodesk is looking for a Principal Engineer to join the Autodesk Platform Services Team. The team provides high-value, exabyte-scale orchestrated data processing capabilities that power desktop, mobile, and web applications. These capabilities enable our product teams to achieve high-performance processing of granular data across all Autodesk products. This is an exciting opportunity to be part of and to help evolve developing the engineering discipline in an Agile environment and to contribute to an organization committed to continuous improvement. You will be part of the team who creates amazing things and will learn from some of the best in the industry! Our team enables real-time data-centric experiences at scale to make a difference for all of those who imagine, design, and make our world.

Requirements

Bachelor's or Master's degree in Computer Science, a related technical field, or equivalent practical experience
9+ years of hands-on experience in software design and development for cloud-based services
Proven track record of leading fast-paced engineering teams to deliver high-impact results
Expert-level proficiency in Java with extensive development experience
Strong, hands-on expertise with AWS cloud services, including S3, Lambda, SQS/SNS, Aurora, DynamoDB, and other core offerings
Extensive experience in building high-performance, scalable applications utilizing caching technologies such as Redis, MemoryDB, and similar tools
Hands-on experience building and operating data streaming systems, including message/event streaming platforms such as Apache Kafka, and designing high-throughput, fault-tolerant streaming pipelines. Experience with stream processing frameworks (e.g., Apache Flink, Kafka Streams, Spark Streaming) is a plus but not required
Proficient in leveraging AI-assisted development tools (e.g., AI coding assistants/agents) to accelerate software design, development, and debugging, improving individual and team productivity
Demonstrated ability to lead complex, large-scale cloud projects spanning multiple teams and functions
Strong problem-solving capabilities and experience working on complex, distributed systems
Experienced in Agile development environments, with a proven ability to adapt to dynamic team structures
Skilled at collaborating with distributed teams across various geographies and time zones
Proven leadership in incident response, including driving root cause analysis and implementing preventive measures
Strong background in API development (REST) with experience in designing and implementing robust solutions

Nice To Haves

Hands-on experience with Apache Flink or another stream processing engine for real-time, stateful data pipelines
Strong familiarity with CI/CD concepts and hands-on experience with deployment pipelines, such as Jenkins
Proficient in database technologies and cloud-scale database design principles, with a focus on performance and scalability
Proven expertise in building scalable systems and services in cloud environments
Hands-on experience with observability tools, including Dynatrace, Splunk, and Grafana, to ensure system reliability and performance
Deep understanding of architectural patterns, design principles, and best engineering practices, ensuring high-quality, maintainable solutions
Passionate about building and inspiring engineering teams, with a demonstrated ability to drive organizational strategic initiatives
Exceptional verbal and written communication skills, with experience collaborating across dispersed, multicultural teams to successfully deliver projects and lead initiatives when required
A lifelong learner who continually explores new and improved ways of working, and confidently shares innovative ideas with the engineering team

Responsibilities

Lead all aspects of software development, creating and maintaining reliable, secure, scalable, and high-traffic services by leveraging modern cloud technologies
Drive team-level outcomes and initiatives, collaborating across functions to achieve organizational goals
Contribute to and influence data processing capabilities across Autodesk, ensuring efficient, scalable, and secure solutions
Design and evolve real-time, event-driven data streaming pipelines, ensuring high-throughput, low-latency, and fault-tolerant delivery of data across systems
Exhibit steadfast leadership by driving large-scale, complex projects requiring collaboration among engineers and cross-functional teams
Champion scalable and secure orchestration of data processing, impacting processes and solutions across divisions
Provide guidance and remove obstacles for your Scrum team and broader colleagues to enhance productivity and collaboration
Spearhead complex project milestones, from clarifying requirements to planning, execution, and ensuring timely delivery through effective oversight
Collaborate with architects, product managers, and stakeholders to iteratively transform high-level requirements into incremental product enhancements
Shape software design and architecture by incorporating cloud expertise throughout the development lifecycle, improving performance, team processes, and collaboration
Take ownership of large-scale platforms, overseeing engineering practices, solution design, quality, deployment, and ongoing support
Drive improvements in engineering practices, acting as a multiplier for the team through mentorship, technical guidance, and proactive support
Lead technical discussions across the organization, aligning outcomes with business objectives
Demonstrate leadership in incident response by driving investigations, timely resolutions, and implementing preventive improvements
Provide technical mentorship to team members and peers, offering expertise in design, architecture, and coding practices
Thoroughly document and present solutions to stakeholders, ensuring clarity and alignment
Recommend and implement best practices for design, architecture, and development processes
Stay informed about emerging trends and technologies to anticipate and address future development needs