Job Opportunity :
We are seeking a highly skilled and forward-thinking leader to drive the architecture, development, and integration of scalable web applications.
This role combines hands-on coding, system design, and technical mentorship. Key responsibilities include leading full-stack development using MS SQL Server, MongoDB, Express.js, React.js, Node.js, architecting and implementing scalable, secure, and high-performance APIs and front-end components, guiding code reviews, testing strategies, CI / CD pipeline implementations, and dev best practices.
Data Observability & Engineering
- Implement and manage data observability platforms (e.g., Azure Data Service, and other tools through APIs and Databases)
- Build robust data monitoring pipelines for detecting anomalies, schema drift, and data downtime
- Experience in Elastic Search is a plus
- Collaborate with data engineers and analysts to ensure trust and quality in data pipelines
Ai & Machine Learning Integration
Oversee the integration of AI / ML features into web applications (e.g., recommendation systems, NLP)Collaborate with data scientists to deploy, monitor, and scale ML models in productionLead AI proof-of-concepts, model evaluation, and MLOps adoption (e.g., MLflow, Kubeflow)Chatbot, GenAI implementation experience would be add onTeam & Project Leadership
Lead cross-functional agile teams and manage sprint planning, code delivery, and technical backlogsMentor junior developers and promote a culture of engineering excellenceTranslate business requirements into technical specs and delivery plansRequired Skills & Qualifications
6+ years of experience with the MERN stack and modern JavaScript / TypeScript2+ years leading engineering teams or projectsExperience with data observability tools and monitoring strategies for data pipelinesProficient in AI / ML concepts and integrating ML models into real-time systemsStrong foundation in cloud infrastructure (Azure, etc)Familiarity with containerisation (Docker / Kubernetes), GitOps, and CI / CD workflowsExperience in Elastic Search is a plusPreferred Skills & Qualifications
Experience with MLOps pipelines and versioning tools (MLflow, DVC)Knowledge of data lake and warehouse systems (e.g., Snowflake, BigQuery, Redshift)Experience with real-time data (Kafka, Pub / Sub) and stream processingStrong understanding of application security and performance optimisationIngestion and Retrieval Telemetry data through Elastic Search would be a plus