Jobs at SRM Technologies

Design, develop, and maintain scalable cloud data pipelines and lakehouse solutions using Python, PySpark, Snowflake, dbt, Apache Iceberg, AWS, and SQL. Build ETL/ELT frameworks, optimize distributed processing and warehouse workloads, implement data quality and governance controls, and support production engineering practices. Own complex technical designs, troubleshoot performance and reliability issues, contribute to architecture decisions, review code, document solutions, and mentor other data engineers.

Develop ADAS AI/ML solutions focused on computer vision and radar algorithms. Responsibilities include image processing, mono and stereo camera systems, LiDAR point-cloud processing, coordinate transformations, camera calibration, 3D reconstruction, depth imaging, SLAM, and production-grade deep learning models. The role also requires understanding radar, imaging and optics systems, neural networks, machine learning techniques, Kalman and particle filters, and clustering methods.

Administer and develop Salesforce across Sales, Service, and Experience Clouds. Configure security, data models, automation, integrations, Apex, Lightning Web Components, deployments, and CPQ solutions. Gather requirements, troubleshoot complex platform issues, support authentication and connected applications, manage releases, and communicate technical solutions to business stakeholders.

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.

Design, develop, deploy, and govern enterprise AI agents, copilots, multi-agent systems, autonomous workflows, and AI-powered applications. Build solutions with Copilot Studio, Azure AI Foundry, LLMs, RAG, agent orchestration, AI Search, and machine learning. Partner with stakeholders, architects, and engineering teams to deliver scalable business solutions, while implementing model evaluation, monitoring, observability, security, and governance.

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.

Design and manage scalable OCI infrastructure, Infrastructure as Code, Kubernetes environments, CI/CD pipelines, security automation, monitoring, and incident response. Partner with engineering, QA, and security teams to improve deployment reliability and operational efficiency while maintaining technical documentation and runbooks.

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.

Supports logistics governance projects by tracking schedules, milestones, risks, dependencies, deliverables, and action items. Coordinates cross-functional stakeholders, working groups, task forces, and governance meetings. Prepares agendas, minutes, dashboards, KPI reports, executive summaries, business requirements, project charters, SOPs, process flows, and status reports. Analyzes supply chain data and supports workshops, management presentations, and monthly and quarterly business reviews.

Analyzes supply chain business performance, financial metrics, budgets, costs, operational KPIs, and engineering data. Performs variance and root cause analysis, prepares management reports, dashboards, scorecards, and executive presentations, and supports forecasting, strategic planning, cost optimization, and continuous improvement across logistics, procurement, inventory, and operations.

Analyzes financial and operational performance across supply chain operations, including KPIs, budgets, costs, variances, forecasts, and management reporting. Develops dashboards, scorecards, executive presentations, and data-driven recommendations. Supports cost optimization, root cause analysis, strategic planning, and corrective action initiatives across logistics, procurement, inventory, and manufacturing activities.

Secure and monitor multi-cloud environments through alert triage, incident response, configuration and IAM assessments, CSPM analysis, remediation documentation, security reporting, and automation. The role develops Python and Terraform-based tooling, supports cloud security controls, secures AI/ML workloads and services, and collaborates with engineering and stakeholders on governance, posture improvement, and corrective actions.

Designs, deploys, administers, and troubleshoots Zscaler ZIA and ZPA environments and enterprise network infrastructure. Manages Zero Trust policies, identity integrations, security controls, application onboarding, and VPN-to-ZTNA migrations. Supports LAN, WAN, wireless, data center, firewall, and SD-WAN environments; resolves L2/L3 incidents, performs root-cause analysis, monitors performance, and creates operational documentation. Participates in on-call and major incident management.

Designs, develops, and maintains scalable data pipelines and solutions using Microsoft Fabric. Manages data ingestion, transformation, integration, storage, workflow reliability, quality, performance, troubleshooting, security, governance, and documentation. Collaborates with analysts, business users, and technical teams to define data requirements. Uses conversational analytics tools to support natural-language data exploration and contributes to broader organizational data and analytics improvements.