Staff Engineer defining reference architectures and driving AI - native development practices at Enable. Collaborating across teams to enhance engineering quality and performance.
About the role
- 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
Benefits
- Annual cash bonuses
- Commissions for sales roles
- Stock grants
- Comprehensive benefits package
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