Full Stack Developer

Location:  Mumbai, hybrid 

Type:  Full-time 

Experience:  3+ years, hands-on 

Reports to:  CTO 

Role Overview 

SmartBeam AI builds physics-informed machine learning for industrial rotating assets. We combine IIoT, sensor telemetry, edge hardware and physics models to predict failures and improve energy and reliability metrics for mission-critical industrial companies like data centers, refining & chemicals, power plants and others. 

We are hiring a Full Stack Developer to own the customer-facing platform layer: the APIs, services and dashboards that turn what our Physics AI engine computes into metrics and interactions an operator acts on. You own the entire surface the customer sees, from the API contract to the dashboard to the demo that makes a plant engineer understand what we do. You will work closely with data scientists, field engineers and OEM partners, and have direct influence over how the product is built and shown. 

One caveat: We are hiring a developer with a cloud-native, deploy-anywhere mindset. Some customers will take the SaaS, and others will insist the whole stack runs inside their own plant network. The same build has to serve both. 

Key Responsibilities 

• Build and own backend APIs (REST, and GraphQL where we use it) that expose computed metrics and model outputs to dashboards, external integrations and internal analytics tools. 

• Build secure, multi-tenant front-end applications in React, with embedded Grafana and custom visualisation components for time-series sensor data. 

• Design and build the interactive demos and educational experiences that make pump physics, faults and our intelligence tangible to prospects, investors and plant engineers. This is a core part of the role, not a side task. 

• Publish data and intelligence through Server-Sent Events, WebSockets, webhooks and Pub/Sub systems. 

• Work with standard protocols for authentication, data streaming, storage and third-party integration. 

• Containerise services (Docker) and deploy on AWS using ECS or EKS, with a strong focus on performance, reliability and observability. 

• Stand up and maintain unit and regression test suites, and own platform reliability and observability. 

• Build tenant-aware IAM and RBAC, SSO (OIDC/SAML) and compliance alignment (SOC 2, GDPR, ISA/IEC 62443) as we move toward enterprise deployments. 

• Extend the platform to mobile as that becomes a priority, reusing the web codebase and skillset where possible (React Native or a PWA path). 

• Work with internal teams, partners and customers to define requirements, identify what makes the product distinctive, and escalate delivery risk to the management team early. 

• Maintain API documentation, deployment guidelines, engineering playbooks and reusable components to standardise best practices. 

What You Need 

• 3 or more years building and shipping full-stack products, with at least 2 of those on production web applications. 

• High ownership. You have carried a product end to end without a support structure behind you, preferably in a startup, and shipped it to real users. 

• Strong React and modern JavaScript. You build clean, responsive, thoughtful UIs and care about the experience. 

• Python and Node.js for backend services, with well-structured REST API design. Deep in one and comfortable in the other is fine. 

• Streaming and push interfaces: Server-Sent Events, WebSockets, webhooks and Pub/Sub. 

• PostgreSQL and TimescaleDB, with working knowledge of MongoDB and Redis, and comfort handling time-series and sensor data. 

• AWS (Lambda, Kinesis, S3, IAM, VPC) and containerised environments (Docker, ECS/EKS). 

• MQTT 3.1.1/5.0 brokers, message parsing (JSON and binary) and data normalisation pipelines, with Kafka or AWS Kinesis for event streaming. 

• Security fundamentals: TLS, AES encryption at rest, AWS KMS or Azure Key Vault, RBAC and OIDC/SAML 2.0. 

• Reviewed, version-controlled code with test coverage that holds up under change. 

Good to Have 

• Docker and Kubernetes at depth, with experience running a single containerised build on managed cloud clusters and on customer-hosted clusters from one codebase. 

• Experience deploying portable data stores such as PostgreSQL or MongoDB in both cloud and on-premise environments, in place of cloud-exclusive services such as DynamoDB. 

• Compliance practice: SOC 2, GDPR/CCPA, ISA/IEC 62443 and industrial network segmentation. 

• Grafana plugin development. 

• Mobile deployment (React Native, iOS/Android) from a shared web codebase. 

• Edge computing platforms (Greengrass, Azure IoT Edge, Kepware) and asset hierarchy modelling (ISA-95). 

• Edge-to-cloud ML deployment lifecycle and MLOps tooling. 

Why Join Us 

Nobody has yet made physics-informed AI work for industrial machines. At SmartBeam AI, you’ll have the autonomy to build it, break it and fix it, alongside a team that brings curiosity and rigour to every problem and has your back when you need it most. You own the whole customer-facing interface, and the demo you build this quarter is the one that makes an investor or a plant engineer finally get it. You’ll learn faster than you thought you could, be held to a high bar, and be paid competitively with performance-linked upside. If that sounds like your kind of place, join us.  

SmartBeam AI is an equal opportunity employer. We hire on evidence of clarity, capability and judgement. If this role is not the right fit but you see another way to contribute, write to us at careers@smartbeam-ai.com.