Principal Software Development Engineer

Autodesk · Enterprise · Mexico · Remote

Principal Backend / Data Engineer for Autodesk Info360 Operational Analytics team. Focus on designing, building, and scaling cloud-native backend services and APIs on AWS for high-frequency, large-scale time-series data. Key responsibilities include optimizing data pipelines, ETL/ELT processes, and building backend infrastructure to support AI/ML-powered features, model serving, feature pipelines, and predictive alerting. Role requires strong AWS, data pipeline, streaming, time-series data, and systems design experience, with familiarity in AI/ML infrastructure and observability.

What you'd actually do

  1. Design, build, and scale cloud-native backend services and APIs on AWS that handle high frequency sensor and time-series data.
  2. Build and optimize data pipelines and ETL/ELT processes for large-scale, near real-time ingestion and processing.
  3. 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.
  4. Own features end-to-end from design through production including monitoring, reliability, and iteration.
  5. Build backend infrastructure that supports ML model serving, feature pipelines, and feedback loops for predictive alerting.

Skills

Required

  • 5+ years building and shipping large-scale backend systems in production
  • Hands-on experience with data pipelines and streaming architectures (Kafka, Kinesis or similar)
  • Experience with time-series data: storage, querying, or analytics at scale
  • Strong AWS experience (Lambda, API Gateway, Kinesis, DynamoDB)
  • Solid systems design skills across distributed and event-driven architectures
  • Familiarity with AI/ML infrastructure: building systems that support model serving or integration
  • Experience with Snowflake or comparable data warehouse
  • Strong observability and production debugging experience
  • Proven ability to collaborate and drive alignment across multiple teams

What the JD emphasized

  • high-frequency, large-scale data problems
  • AI/ML-powered features
  • backend systems, data pipelines, and APIs
  • ML model serving, feature pipelines, and feedback loops
  • large-scale backend systems
  • data pipelines and streaming architectures
  • time-series data
  • AI/ML infrastructure

Other signals

  • building backend systems for AI/ML features
  • building backend infrastructure for ML model serving
  • near real-time data processing for analytics and alerting
Read full job description

Job Requisition ID #

26WD97042

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 Principal Backend / Data Engineer 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

  • Design, build, and scale cloud-native backend services and APIs on AWS that handle high frequency sensor and time-series data.
  • Build and optimize data pipelines and ETL/ELT processes for large-scale, near real-time ingestion and processing.
  • 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.
  • Own features end-to-end from design through production including monitoring, reliability, and iteration.
  • Identify and resolve bottlenecks in data flow, query performance and service interactions.
  • Build backend infrastructure that supports ML model serving, feature pipelines, and feedback loops for predictive alerting.
  • Leverage AI-assisted development practices to accelerate design, implementation, and code quality across backend services and pipelines.
  • Collaborate across engineering, product, and AI/ML teams to enable seamless integration across services and platforms.
  • Raise the technical bar through design reviews, code reviews, and mentoring peers

Key Qualifications

  • 5+ years building and shipping large-scale backend systems in production
  • Hands-on experience with data pipelines and streaming architectures (Kafka, Kinesis or similar)
  • Experience with time-series data: storage, querying, or analytics at scale
  • Strong AWS experience (Lambda, API Gateway, Kinesis, DynamoDB)
  • Solid systems design skills across distributed and event-driven architectures
  • Familiarity with AI/ML infrastructure: building systems that support model serving or integration
  • Experience with Snowflake or comparable data warehouse
  • Strong observability and production debugging experience
  • Proven ability to collaborate and drive alignment across multiple teams

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. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Diversity & Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

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