Software Development Engineer - MEX P4 - Remote Eligible

Senior Backend / Data Engineer

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 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