Jobs at SRM Technologies

Lead frontend engineer responsible for scalable frontend architecture, performance, real-time communication, rendering strategy, state management, styling systems, reusable component libraries, design systems, and hands-on development with Next.js, React, and TypeScript. The role also leads architectural decisions, code reviews, documentation, and frontend engineering practices for complex web applications.

Design, develop, and maintain scalable backend services using Python and FastAPI. Build secure REST APIs, WebSockets, and microservices; optimize databases and system performance; implement authentication and authorization; write tested, documented code; and support deployment, monitoring, and production troubleshooting. Collaborate with frontend, DevOps, QA, and product teams in Agile environments.

Leads backend architecture and system design while remaining hands-on. Designs, builds, and evolves distributed systems; establishes architectural standards; guides technical decisions; works with Python, FastAPI, relational and NoSQL databases; supports cloud deployments and monolith-to-microservices migrations.

Develop and maintain scalable, secure, high-performance responsive web applications using ReactJS, NextJS, TypeScript, HTML, and CSS. Implement SSR, SSG, ISR, App Router, API routes, state management, REST and WebSocket integrations, performance and SEO optimization, security, testing, and cross-browser compatibility. Collaborate with Product, Backend, QA, and DevOps teams in an Agile environment.

Designs scalable automated testing frameworks and CI/CD pipelines for enterprise UI, API, backend, and distributed systems. Owns regression, integration, end-to-end, performance, resilience, security, compliance, and observability testing. Performs root-cause analysis, establishes quality standards and KPIs, validates full-stack integrations, and serves as a quality gatekeeper for production releases while advancing quality engineering practices.

Leads 24x7 NOC and SOC operations, managing 14 L1/L2 analysts and ensuring network availability, security monitoring, incident response, SLA compliance, and operational governance. Oversees major incidents, security investigations, threat analysis, root-cause analysis, runbooks, shift coverage, customer escalations, reporting, and continuous improvement. Provides technical leadership across monitoring, SIEM, endpoint security, cloud operations, analytics, and network technologies while developing team capabilities and maintaining service quality.

Monitors network, cloud, server, endpoint, and security environments in a 24x7 rotational operation. Performs initial triage and troubleshooting of infrastructure and security alerts, analyzes SIEM and security tool events, manages incidents through ITSM platforms, escalates critical issues, supports incident response and service restoration, and maintains documentation, reports, and shift handovers.

Performs advanced security monitoring, incident response, threat hunting, malware and forensic analysis, SIEM detection engineering, and cloud security investigations. The analyst escalates and coordinates major incidents, tunes detection rules, analyzes endpoint and cloud threats, supports ransomware response, and improves cyber defense capabilities. The role participates in 24/7 coverage, on-call support, and major incident management.

Provides advanced 24x7 operational support for network, cloud, security, and infrastructure services. Responsibilities include resolving high-priority incidents, troubleshooting routing, firewalls, VPNs, Zscaler, Azure, and AWS, conducting root cause analysis, managing changes, coordinating vendors, monitoring capacity and availability, mentoring L1 analysts, and maintaining technical runbooks. Leads major incident resolution and participates in on-call and maintenance activities.

Provide statistical expertise for clinical trial design, analysis, and reporting. Develop SAPs, randomization schemes, TLFs, SDTM/ADaM datasets, and define.xml. Program and validate analyses in SAS, R, and Python; create dashboards, Spotfire visualizations, and automated reports. Ensure CDISC/ICH compliance, support regulatory submissions, safety analytics, RBM, and present findings cross-functionally.

Build and deploy ML models on structured and unstructured data, design A/B tests, create visualizations, collaborate cross-functionally, operationalise pipelines with data engineering, develop domain expertise, and translate analyses into stakeholder recommendations.

Design, build, and deploy enterprise-scale Agentic AI and multi-agent systems, LLM fine-tuning and RAG pipelines, vector search, AI copilots, and production AI microservices. Lead model development, MLOps/CI-CD, cloud integration (Azure/AWS/GCP), monitoring, governance, and deliver measurable automation and business outcomes.