Principal Software Developer leading the design and development of scalable data platform services at Autodesk. Collaborating across teams to enhance AI-driven insights and operational efficiency.
Responsibilities
Lead the design and development of scalable, secure data platform services while shaping the technical roadmap and addressing technical debt
Collaborate with product, architecture, and engineering teams to translate requirements into high-quality software solutions
Build and maintain platform systems supporting monitoring, observability, anomaly detection, and compliance reporting
Develop cloud-native microservices and APIs that enable scalable data processing and analytics workloads
Integrate AI-enabled capabilities within the platform to enhance operational insights, anomaly detection, and system observability
Deliver software using Agile development practices, promoting open and inner-source collaboration
Improve engineering processes through secure coding practices, code quality standards, and system design improvements
Review and improve SDLC processes to address vulnerabilities, misconfigurations, and platform security risks
Stay current with industry trends, emerging technologies, and best practices in cloud platforms and secure software development
Communicate progress, risks, and technical decisions clearly with stakeholders and engineering teams
Requirements
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field
8+ years of experience in software engineering with strong experience building backend or platform systems
Experience designing and developing scalable distributed systems or data platforms
Deep expertise in AWS, including IAM, KMS, EC2, S3, RDS, Lambda, networking security, encryption, and secure cloud architecture
Strong proficiency in Python and experience building microservice architectures
Experience integrating AI-enabled platform capabilities or services to support analytics, automation, or operational insights
Hands-on experience with CI/CD pipelines and automation using tools such as Jenkins, GitLab CI, or CircleCI
Strong understanding of Infrastructure as Code (IaC) using Terraform or CloudFormation
Experience integrating security controls into engineering workflows, including CI/CD security automation (SAST, SCA, IaC scanning)
Experience with Snowflake or similar cloud data warehousing platforms
Proven ability to design and implement scalable, reliable platform services
Excellent problem-solving, debugging, collaboration, and communication skills
Experience working within Agile/Scrum development environments
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