Life at Plume At Plume we believe that technology isn t about moving faster it s about making life s moments better Which is why we ve built the world s first and only open and hardware-independent service delivery platform for smart homes small businesses enterprises and beyond Our SaaS platform uses WiFi advanced AI and machine learning to create the future of connected spaces and human experiences at massive scale We now deliver services to over 60 million locations globally and have managed over 3 billion devices on our platform We re expanding rapidly pioneering a new category and we achieved our Series F funding in just four years Our customers include many of the world s largest Internet Service Providers ISPs who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data With a bias for action and a love for being trailblazers the team at Plume embodies a combination of relentless curiosity and imaginative innovation We challenge ourselves to think in ways that other companies don t work to do what should be done rather than what can and if we can t do it exceptionally well we don t do it It s how we ve assembled a team of world-class builders thinkers and doers And it s how we re reinventing what s possible every day This is a work-from-office In-Office role based in our Hyderabad India location Backend Engineer - Optimization Data Analytics Inference Role Overview We re looking for a Backend Engineer with a strong background in optimization algorithms and data analytics to design and implement intelligent solutions that optimize mesh Wi-Fi networks in home environments You ll operate at the intersection of backend systems applied optimization large-scale data analytics and statistical inference developing algorithms models and insights that improve network performance efficiency and reliability for millions of connected devices Core Responsibilities Design prototype and productionize optimization models and algorithms to enhance mesh network topology channel allocation QOE improvements among others Apply operations research OR and mathematical modeling to solve complex problems in resource allocation scheduling and network optimization Perform large-scale data summarization analytics and statistical inference to extract actionable insights from telemetry and performance data Translate research and mathematical formulations into robust scalable backend services running in the cloud Use simulation and statistical analysis to validate algorithmic performance and impact Collaborate with data scientists network engineers and platform teams to operationalize optimization and analytics models in production environments Technical Scope Integrate optimization models using Python libraries such as Gurobi within cloud-based microservices Leverage data analytics tools and frameworks e g SQL Pandas NumPy Spark for summarization large-scale processing and insight generation Implement statistical inference and modeling techniques to uncover trends correlations and performance drivers Architect and deploy scalable backend services in AWS GCP Azure using Kubernetes and modern DevOps practices Build APIs and backend components that expose optimization analytics and inference results to applications and other systems Ensure reliability performance and observability of algorithmic and analytics services through strong engineering practices Qualifications 5 years of relevant experience primarily focused on optimization Expertise in optimization concepts including linear nonlinear and combinatorial optimization Strong programming skills in Python Scala Go or Java experience a plus Experience in data analytics large-scale data summarization and statistical inference Proficiency in frameworks for distributed data processing and analysis e g Spark Dask or Ray Background in operations research applied mathematics or algorithms Solid understanding of distributed systems microservices and event-driven architectures Familiarity with data engineering and real-time streaming frameworks Kafka Pulsar or similar Proficiency in SQL and NoSQL databases PostgreSQL MongoDB DynamoDB etc Experience with cloud platforms AWS GCP or Azure and container orchestration Kubernetes Docker Strong mathematical foundation and analytical problem-solving skills Knowledge of Wi-Fi networking fundamentals is a plus Nice To Have Experience optimizing wireless or mesh networks or other complex distributed systems Background in functional programming Scala preferred Experience building APIs and backend services around optimization analytics or inference logic Familiarity with AI-assisted developer tools ChatGPT Copilot Cursor etc Contributions to open-source optimization analytics or backend projects About Plume As the creator of the only open hardware-independent cloud-controlled experience platform for ISPs and their subscribers Plume partners with over 400 ISP customers including some of the world s largest such as Comcast Charter Liberty Global and J COM Using OpenSync the most widely supported open-source silicon-to-cloud framework for smart spaces Plume s software-defined network allows ISPs to decouple their service offerings from hardware and rapidly curate and deliver recent services over a multi-vendor open-platform architecture Plume is an equal opportunity workplace that maintains a continuing policy of nondiscrimination in all employment practices and decisions ensuring equal employment opportunities for all qualified individuals without regard to race color creed religion sex national origin age physical or mental disability sexual orientation gender identity marital status pregnancy childbirth or related individual conditions medical conditions as defined by state law military or veteran status or any other characteristic protected by federal state or local law