Senior Software Engineer at Monaire

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 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

Requirements

Must-haves

This is a remote position.
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
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.
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
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

Nice-to-haves

Nice-to-Have Skills

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Keywords to mirror

mlgopythonrestsqldockerawskubernetesapici/cd

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Benefits

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Health Insurance