Engineering Manager

Hiring : SAP C4C Technical Role

Experience - Minimum 7 Years

Location : Pan India

We need strong C4C Technical experience

Job Description-

SAP C4C Technical Sound understanding or Formal training in software development practices (Agile, Scrum preferred)

Highly skilful in ABSL and BODL Scripting, UI Script, UI designer in SAP Cloud Applications Studio (SDK) to develop and deploy complex C4C (Cloud for Customer) solutions

Experience in developing custom objects, Adobe Lifecycle Designer are must Configuration of C4C using KUT (Key User Tool).

C4C Integration Experience with non-SAP systems.

Must have working experience in SOAP and OData/RESTful APIs in C4C Tracing and Debugging feature in Cloud Studio Build data sources and Reports for business objects

knowledge to create Key Figures, KPIs and to configure Dashboard Mash-ups development, Reuse libraries, Process extension scenarios, Publish new add-on in scop

🔍 Job Description:

We are looking for an experienced and highly skilled Technical Lead to guide the development and enhancement of a large-scale Data Observability solution built on AWS. This platform is pivotal in delivering monitoring, reporting, and actionable insights across the client's data landscape.

The Technical Lead will drive end-to-end feature delivery, mentor junior engineers, and uphold engineering best practices. The position reports to the Programme Technical Lead / Architect and involves close collaboration to align on platform vision, technical priorities, and success KPIs.

🎯 Key Responsibilities:

• Lead the design, development, and delivery of features for the data observability solution.
• Mentor and guide junior engineers, promoting technical growth and engineering excellence.
• Collaborate with the architect to align on platform roadmap, vision, and success metrics.
• Ensure high quality, scalability, and performance in data engineering solutions.
• Contribute to code reviews, architecture discussions, and operational readiness.

🔧 Primary Must-Have Skills (Non-Negotiable):

• 5+ years in Data Engineering or Software Engineering roles.
• 3+ years in a technical team or squad leadership capacity.
• Deep expertise in AWS Data Services: Glue, EMR, Kinesis, Lambda, Athena, S3.
• Advanced programming experience with PySpark, Python, and SQL.
• Proven experience in building scalable, production-grade data pipelines on cloud platforms.

·        Threat hunting experience is must.

·        Familiarity with threat intelligence sources and frameworks (MITRE ATT&CK, Diamond Model, Cyber Kill Chain).

·     Ability to proactively find cybersecurity threats and mitigate them.

·        Knowledge about Advanced persistent threats and treat actors, their TTPs. Ability to recognize attack patterns and corelate them with specific threat actors.

·        Ability to obtain as much information on threat behaviour, goals and methods as possible.

Knowledge of Analytics platforms for carrying out detailed analytics of obtained telemetry.

Job Title: Delivery Account Lead – US IT Recruitment

Location: Trichy, Tamil Nadu (Onsite)

Company: VDart Inc.

Experience: 9 – 12 Years

Employment Type: Full-Time

 About VDart Inc.

VDart Inc. is a leading global IT staffing and solutions firm with a presence across the United States, Canada, and India. We support Fortune 500 clients across a wide range of industries, providing top-tier IT talent through scalable and efficient delivery models. As we continue to grow, we are hiring a Delivery Account Lead to head strategic account delivery operations.

Position Summary

The Delivery Account Lead – US IT Recruitment will be responsible for managing end-to-end recruitment delivery, team leadership, and client engagement for key strategic accounts. This role is a critical leadership position that demands strong experience in managing VMS clients, high-volume delivery, team performance, and SLAs.

Key Responsibilities

·      Own delivery for multiple high-value US-based client accounts across industries and technologies.

·      Lead, mentor, and manage a team of recruiters to drive consistent performance and quality.

·      Collaborate with Account Managers to align delivery strategy with client expectations.

·      Ensure fulfillment of job requisitions through proactive sourcing, screening, and submission processes.

·      Analyze delivery metrics, provide weekly and monthly performance reporting, and drive continuous improvement.

·      Develop and implement best practices for recruitment operations, candidate engagement, and submission quality.

·      Manage escalations, compliance, and contract negotiations as needed.

Required Skills & Experience

·      9 to 12 years of extensive experience in US IT Recruitment delivery and team leadership.

·      Proven ability to manage VMS/MSP accounts with a strong understanding of hiring models: W2, C2C, and 1099.

·      Strong sourcing background using platforms like Dice, Monster, CareerBuilder, and LinkedIn Recruiter.

·      Deep knowledge of ATS and recruitment reporting tools, and ability to use data to guide decisions.

·      Exceptional communication, people management, and client handling skills.

·      Hands-on experience in working with enterprise accounts, meeting tight SLAs, and large-scale ramp-ups.

·      Willing to work full-time onsite at our Trichy VDart GCC office

We’re looking for an experienced AI Developer to join our team and drive the design, development, and deployment of advanced computer-vision and LLM-based solutions. You’ll build real-time object detection & tracking pipelines (LLM, YOLOv8/11), develop face-recognition models on video feeds with LLM support, and manage GPU-powered server infrastructure end-to-end.

Key Responsibilities

• Model Development & Optimization
• Design, train, and fine-tune LLMs, YOLOv8/11 models for multi-class object detection.
• Implement face-recognition pipelines leveraging state-of-the-art LLMs and embedding techniques.
• Optimize inference speed and accuracy for real-time video processing on GPUs.
• Video Analytics & Tracking
• Develop multi-camera object-tracking algorithms across disparate video sources.
• Integrate OpenCV, DeepSORT (or similar), and custom tracking logic for robust performance.
• Infrastructure & Deployment
• Provision and maintain Linux servers with SSH, Docker, and GPU drivers (NVIDIA CUDA/cuDNN).
• Automate CI/CD pipelines for model training, evaluation, and deployment.
• Monitor GPU utilization, troubleshoot performance bottlenecks, and ensure high availability.
• Collaboration & Documentation
• Work closely with product managers, data engineers, and front-end teams to integrate AI services via REST/gRPC APIs.
• Write clear technical documentation, API specs, and best-practice guides.

Required Qualifications

• Bachelor’s or Master’s in Computer Science, Electrical Engineering, or related field.
• 2-3+ years hands-on experience with:
• YOLOv8 or YOLOv11 (training, inference, transfer learning)
• Face recognition frameworks (InsightFace, FaceNet, ArcFace) and LLM embeddings (e.g., Hugging Face Transformers)
• Python ecosystem: PyTorch/TensorFlow, OpenCV, NumPy, scikit-learn
• Strong Linux skills: server provisioning, SSH, shell scripting.
• Proficiency in managing GPU servers (NVIDIA CUDA, Docker GPU containers)
• Experience deploying models in production (AWS/GCP/Azure or on-prem clusters).

Preferred Qualifications

• Familiarity with video-streaming protocols (RTSP/WebRTC).
• Knowledge of microservices architecture and API gateways.
• Exposure to MLOps platforms (MLflow, Kubeflow).
• Strong debugging, profiling, and performance-tuning abilities.

What you need to have: