Senior Software Engineer

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 a

Senior Backend Engineer

, you will design and build

high-scale, cloud-native backend systems

that power real-time monitoring, analytics, and automation for commercial HVAC/R operations.

You will take

end-to-end ownership

of 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 enjoy

solving complex distributed systems problems

and want to see their work have real-world impact.

Key Responsibilities

-

 Design, develop, and operate

scalable backend services

for a high-growth SaaS platform

-
 Own the

end-to-end lifecycle

of services—from design and implementation to deployment, monitoring, and optimization

-
 Build and evolve

distributed, event-driven microservices

handling high-volume data and real-time workflows

-
 Ensure

high availability, reliability, performance, and security

of production systems

-
 Drive architectural decisions around

APIs, data models, service boundaries, and system integrations

-

 Lead

prototyping and proof-of-concepts

for new ideas, features, and platform capabilities

-
 Collaborate closely with

frontend, data, DevOps, QA, and product teams

to deliver cohesive solutions

-
 Identify technical debt and proactively improve system design, developer experience, and operational excellence

-
 Mentor and guide other engineers through

code reviews, design discussions, and best practices**

Thrive in a fast-paced startup environment with high ownership and accountability

Requirements

Must-Have Skills

-
 4–6 years of experience building and operating medium to large-scale backend systems

-
 Strong hands-on experience with Go, Python.

-
 Proven experience designing cloud-native, distributed systems for SaaS platforms

-
 Strong understanding of microservices architecture, REST APIs, and asynchronous processing

-
 Experience with SQL and NoSQL databases

-
 Excellent grasp of computer science fundamentals (data structures, algorithms, complexity)

-
 Expertise in debugging, performance tuning, and production issue resolution

-
 Experience writing clean, maintainable, well-documented code

-
 Solid experience with Docker and AWS 

-
 Strong communication skills and ability to work effectively with cross-functional teams

-
 Self-driven mindset with the ability to learn, adapt, and lead by example

Nice-to-Have Skills

-
 Hands-on experience with Kubernetes and container orchestration

-
 Experience with message queues and streaming systems (Kafka, AWS SQS/SNS, Kinesis)

-
 Exposure to big data and workflow platforms (Spark, Flink, Airflow)

-
 Experience with API gateways (Kong, Ambassador), service meshes, or Vault

-
 Familiarity with caching systems, distributed tracing, logging, and monitoring stacks

-
 Experience building and maintaining CI/CD pipelines and automated deployments

-
 Prior experience in IoT, telemetry, time-series data, or industrial systems

-
 Startup or 0→1 product-building experience

Qualifications

Bachelor’s or Master’s degree in Computer Science, IT, or a related field from a reputed institution

Benefits

-
 Competitive salary + equity with meaningful ownership

-
 Comprehensive health insurance (self, spouse, children, and parents)

-
 Remote-first, flexible work culture

-
 Opportunity to work on high-impact systems with climate and sustainability impact

-
 Strong emphasis on engineering excellence, ownership, and growth

-
 ​Collaborative, inclusive, and low-ego team culture