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 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