Senior
Senior Software Developer, Backend
Job Requisition ID # 26WD100353
Position Overview
The Autodesk Info360 Operational Analytics team is building the data infrastructure that powers modern water management, helping utilities monitor, predict, and respond to issues across thousands of sensors in near real-time.
We're looking for a Senior Backend / Data Developer who thrives on high-frequency, large-scale data problems. You'll design and ship the systems behind time-series analytics, smart alerting, and anomaly detection features that water operators depend on every day. This is a backend-heavy role with strong data engineering depth. You'll own pipelines, APIs, and the reliability of the data that drives critical decisions.
Responsibilities
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Design, build, and scale cloud-native backend services and APIs on AWS that handle high-frequency sensor and time-series data
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Build and optimize data pipelines and ETL/ELT processes for large-scale, near real-time ingestion and processing
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Play a key role in delivering AI/ML-powered features by building the backend systems, data pipelines, and APIs that bring intelligent capabilities to production
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Own features end-to-end from design through production including monitoring, reliability, and iteration
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Identify and resolve bottlenecks in data flow, query performance and service interactions
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Build backend infrastructure that supports ML model serving, feature pipelines, and feedback loops for predictive alerting
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Leverage AI-assisted development practices to accelerate design, implementation, and code quality across backend services and pipelines
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Collaborate across engineering, product, and AI/ML teams to enable seamless integration across services and platforms
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Raise the technical bar through design reviews, code reviews, and mentoring peers
Minimum Qualifications
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5+ years of experience building and shipping large-scale backend systems in production
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Strong experience with data pipelines, streaming architectures, or large-dataset processing (Kafka, Kinesis, Snowflake, Flink or similar)
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Hands-on experience with time-series data (storage, querying, or analytics at scale)
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Solid systems design skills: distributed systems, event-driven architectures, service-oriented backends
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Experience with cloud infrastructure, ideally AWS (Lambda, RDS/Aurora, DynamoDB, S3, or similar)
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Familiarity with ML infrastructure concepts: building systems that support model integration
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Strong observability and debugging instincts. You build with monitoring in mind from day one
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Ability to drive technical alignment across teams and communicate clearly about tradeoffs
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Degree in Computer Science or related field, or equivalent practical experience
Learn More
About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $107,000 and $157,300. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging
In-Person Onboarding and Identity Verification
This role may require in-person onboarding and/or in-person ID verification.
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