Jobs at SRM Technologies

Lead technical pre-sales for automotive embedded services by analyzing customer requirements, developing tailored solutions, collaborating with sales and technical teams, preparing proposals and estimations, delivering presentations, representing the company at events, and researching market and competitor trends.

Lead enterprise data, analytics, and AI/ML strategy for a pharmaceutical organization. Drive cloud-based data platform design, data governance, BI and advanced analytics, operationalize ML models, and enable Commercial and R&D analytics using syndicated and clinical datasets.

Provide 24x7 cloud/application support: troubleshoot incidents, perform RCA, deploy and monitor releases, automate workflows, analyze trends, and communicate status to stakeholders. Participate in on-call rotation and improve operational reliability.

Work with cloud data platforms (AWS, Snowflake) and data warehousing. Query using Trino/EMR, document processes, identify and address gaps, communicate effectively, and adapt to a fast-paced environment. Pharma/AbbVie experience preferred.

Lead design and delivery of scalable Power BI dashboards, optimize data models and DAX, ensure performance, data quality and governance, gather stakeholder requirements, mentor developers, conduct code reviews, and support deployments.

Drive B2B lead generation and pipeline growth through outbound outreach and prospecting; close high-value deals with Tier-1 clients and OEMs; conduct market research; engage C-level decision-makers; deliver consultative proposals and presentations; use ZOHO CRM, LinkedIn Sales Navigator, Apollo.io, and ZoomInfo; collaborate with cross-functional teams and track sales performance metrics.

Port, develop, and optimize ADAS and computer-vision algorithms on embedded platforms. Implement and tune DSP and neural network kernels using C/C++ and assembly on SoCs (TI TDA4 family, Renesas, NXP, Qualcomm, Intel). Work with OpenVX/OpenCL/OpenGL, OpenCV, ARM NEON, RTOS/Linux, and camera/computer-vision pipelines, focusing on performance, video/image processing, and sensor-fusion integrations.

Serve as a techno-functional SME for Model N revenue management, bridging business and technical teams to design, configure, integrate, test, and support Model N solutions for life sciences clients. Lead workshops, translate requirements, guide integrations and data migrations, troubleshoot complex issues, mentor junior staff, and ensure compliant, on-time delivery in Flex/managed services engagements.

Serve as the Model N techno-functional SME, translating business needs into configuration and integrations, leading design workshops, supporting UAT and data migration, troubleshooting, mentoring junior staff, and ensuring delivery quality for pharmaceutical revenue management (pricing, government pricing, rebates, chargebacks).

Lead end-to-end delivery of large, cross-functional cloud and platform programs. Define scope, roadmaps, and governance; coordinate multi-team execution, releases, and operational readiness; manage risks, dependencies, and stakeholder communications; and ensure smooth transition to steady-state operations with measurable customer and operational outcomes.

Provide 24x7 cloud and application operations support: troubleshoot incidents, perform RCA, deploy and monitor releases, automate processes, analyze trends, and communicate status to stakeholders while participating in on-call rotations.

Hands-on Atlassian Platform Engineer to administer and improve Jira Cloud, Confluence Cloud, Loom, and Rovo. Responsibilities include governance, automation, integrations via REST APIs and scripting, troubleshooting escalations, platform reliability, reporting, and enabling AI/automation use cases. Focus on reducing technical debt, standardization, and operational excellence.

Design, develop, and maintain scalable web and cross-platform mobile applications using React JS, React Native, and Node.js. Build reusable UI components, implement RESTful APIs, ensure security and performance, handle Android/iOS deployment, integrate with SAP and third-party services, collaborate with stakeholders and Agile teams, and troubleshoot production issues.

Lead identification and remediation of revenue leaks across US Commercial and Government contracting. Optimize Medicaid claim validation and expand controls for 340B duplicate discounts, MDP, and MFN compliance. Gather and synthesize requirements, evaluate Model N Validata vs custom builds, and coordinate cross-functional technical implementation.

Lead architecture and development of responsive web and mobile applications. Build reusable front-end components, optimise performance, author RESTful and GraphQL APIs, conduct code reviews, mentor junior developers, and drive testing, CI, and quality standards while collaborating with design and product teams and contributing to product roadmap.

Lead end-to-end product lifecycle for Commercial Finance technology products: define strategy, manage backlog, align stakeholders, deliver roadmaps, oversee engineering and testing, manage BRM activities and IT investment budgets, and ensure solutions meet business needs with Agile practices.

Senior Network Engineer responsible for day-to-day network operations, troubleshooting, and support across on-prem and AWS cloud environments. Configure and maintain Cisco and Juniper switches, Palo Alto firewalls, Aruba wireless, VPNs, and ZTNA/SASE solutions (Zscaler). Manage AWS networking components (VPCs, TGW, PrivateLink, route tables, NACLs, security groups), participate in change management, maintain documentation, and collaborate with infrastructure, cloud, and security teams.

Lead backend architecture and system design for distributed systems. Build high-performance Python/FastAPI services, RESTful and async APIs, design RDBMS and NoSQL schemas, ensure scalability, resilience, and maintainability, produce architecture docs, and guide teams on trade-offs and best practices.

Develop ADAS algorithms in computer vision, radar, and sensor fusion. Implement image processing, 2D/3D reconstruction, SLAM, and production-grade deep learning models for embedded/edge platforms.

Develop ADAS computer vision, radar and sensor-fusion algorithms (stereo/mono camera, LiDAR, RADAR). Work on calibration, 3D reconstruction, SLAM, object tracking, filters, and production-grade deep learning models. Deploy and optimize CV/ML solutions on embedded/edge platforms using C/C++, Python, MATLAB, DL frameworks, and relevant toolchains.