This is a remote position.

About Monaire

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

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