Job description
This is a remote position.
About Monaire
Monaire is building the infrastructure layer for intelligent commercial HVAC. We combine on-device sensors, smart thermostats, and machine-learning systems to automate control, surface real operational insight, and materially reduce energy waste at scale. This is not offline modeling or notebook ML. Models run in production, interact with physical systems, and must be observable, debuggable, and correct. The platform spans edge devices, cloud services, streaming pipelines, control logic, and ML inference.
Engineers here work on:
Data ingestion and streaming at scale from heterogeneous hardware
Low-latency decision pipelines and control loops
ML systems that survive missing data, drift, and adversarial real-world conditions
Infrastructure for model deployment, monitoring, and rollback
Apps and services that customers depend on to run their buildings every day
The market is large, broken, and technically underserved. We’re scaling the system and need engineers who care about correctness, performance, and ownership — people who want to build infrastructure that actually controls the physical world, not just dashboards that look good in demos.
Role Overview
As aSenior Backend Engineer, you will design and buildhigh-scale, cloud-native backend systemsthat power real-time monitoring, analytics, and automation for commercial HVAC/R operations.
You will takeend-to-end ownershipof critical services, influence architectural decisions, and mentor other engineers while working closely with product, data, and infrastructure teams. This role is ideal for engineers who enjoysolving complex distributed systems problemsand want to see their work have real-world impact.
Key Responsibilities
Design, develop, and operatescalable backend servicesfor a high-growth SaaS platform
Own theend-to-end lifecycleof services—from design and implementation to deployment, monitoring, and optimization
Build and evolvedistributed, event-driven microserviceshandling high-volume data and real-time workflows
Ensurehigh availability, reliability, performance, and securityof production systems
Drive architectural decisions aroundAPIs, data models, service boundaries, and system integrations
Leadprototyping and proof-of-conceptsfor new ideas, features, and platform capabilities
Collaborate closely withfrontend, data, DevOps, QA, and product teamsto deliver cohesive solutions
Identify technical debt and proactively improve system design, developer experience, and operational excellence
Mentor and guide other engineers throughcode reviews, design discussions, and best practices
Thrive in a fast-paced startup environment with high ownership and accountability
Requirements
Must-Have Skills
4–6 yearsof experience building and operatingmedium to large-scale backend systems
Strong hands-on experience withGo, Python.
Proven experience designingcloud-native, distributed systemsfor SaaS platforms
Strong understanding ofmicroservices architecture, REST APIs, and asynchronous processing
Experience withSQLandNoSQLdatabases
Excellent grasp ofcomputer science fundamentals(data structures, algorithms, complexity)
Expertise indebugging, performance tuning, and production issue resolution
Experience writingclean, maintainable, well-documented code
Solid experience withDockerandAWS
Strong communication skills and ability to work effectively with cross-functional teams
Self-driven mindset with the ability tolearn, adapt, and lead by example
Nice-to-Have Skills
Hands-on experience withKubernetesand container orchestration
Experience withmessage queues and streaming systems(Kafka, AWS SQS/SNS, Kinesis)
Exposure tobig data and workflow platforms(Spark, Flink, Airflow)
Experience withAPI gateways(Kong, Ambassador),service meshes, orVault
Familiarity withcaching systems, distributed tracing, logging, and monitoring stacks
Experience building and maintainingCI/CD pipelinesand automated deployments
Prior experience inIoT, telemetry, time-series data, or industrial systems
Startup or0→1 product-building experience
Qualifications
Bachelor’s or Master’s degree inComputer Science, IT, or a related fieldfrom a reputed institution
Benefits
Competitivesalary + equitywith meaningful ownership
Comprehensivehealth insurance(self, spouse, children, and parents)
Remote-first, flexible work culture
Opportunity to work onhigh-impact systems with climate and sustainability impact
Strong emphasis onengineering excellence, ownership, and growth
Collaborative, inclusive, and low-ego team culture
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.