Graphic Designer

Job Title: Lead – Endpoint Security & Tooling

Location: Gurgaon

Experience Required: 8+ years

Job Type: Full-time

Position Summary

The Lead – Endpoint Security & Tooling plays a pivotal role in overseeing and optimizing a diverse array of endpoint security tools and technologies.

The Lead will spearhead the configuration, troubleshooting, and maintenance of security tools, develop and implement robust security policies, conduct in-depth threat intelligence analysis, design secure endpoint architectures, and assess and mitigate risks to endpoints.

Roles and Responsibilities

Expertise in Security Tools

• Lead the management and optimization of the Zscaler suite of applications, including Zscaler Internet Access (ZIA), Zscaler Private Access (ZPA), Browser Isolation, Firewall (Tunnel 2.0), Deception, and other endpoint security tools.
• Demonstrate proficiency in Microsoft Intune for advanced endpoint security management, encompassing policy configuration, device management, compliance enforcement, and performance optimization.
• Exhibit familiarity with Endpoint Detection and Response (EDR) solutions, encompassing advanced threat detection, configuration management, policy enforcement, and performance monitoring.
• Display proficiency in Application Control solutions for managing and controlling application execution on endpoints, including policy management and application behavior monitoring.

Endpoint Security Tooling Management

• Oversee the configuration, troubleshooting, and maintenance of security tools to ensure optimal performance and effectiveness.
• Conduct regular assessments and audits of endpoint security configurations.
• Stay updated with new releases, versions, changes, and breaking changes in Microsoft Intune and other endpoint security tools.
• Assess the impact of new releases and changes on endpoints and security policies.

Security Policy Development

• Lead the development and implementation of comprehensive endpoint security policies, configurations, and best practices.
• Ensure strict compliance with industry standards and regulations.

Secure Architecture Design

• Apply expert security architecture principles to design and implement highly secure endpoint architectures.
• Implement sophisticated network segmentation, access controls, and secure configurations for endpoints.

Risk Assessment and Mitigation

• Conduct comprehensive risk assessments for endpoints to identify potential risks and vulnerabilities.
• Lead the implementation of robust risk mitigation strategies and controls to reduce risks to endpoints.

Communication and Collaboration

• Collaborate seamlessly with cross-functional teams, including IT, security, compliance, and business stakeholders.
• Communicate complex technical concepts related to endpoint security effectively to non-technical audiences.

Continuous Learning and Adaptability

• Stay at the forefront of the latest trends, threats, and technologies in endpoint security.
• Adapt swiftly to the evolving security landscape and emerging threats in endpoint security.

Problem-solving and Critical Thinking

• Apply advanced problem-solving skills and critical thinking to analyze and resolve complex security issues related to endpoints.
• Lead the troubleshooting of endpoint security incidents and drive the development of innovative solutions.

Skills and Qualifications

What will you need to succeed?

• Bachelor’s degree in Computer Science, Information Technology, or a related field (Master’s degree preferred).
• Proven leadership experience (7+ years) in endpoint security management, including extensive expertise in Microsoft Intune and other endpoint security tools.
• Advanced understanding of endpoint security principles, technologies, and best practices.
• Familiarity with network security concepts, firewalls, VPNs, and secure web gateways.
• Outstanding analytical, problem-solving, and communication skills.
• Ability to lead collaboratively in a team environment, manage multiple projects simultaneously, and drive results effectively.
• Advanced skills in threat intelligence analysis, incident response, security architecture design, risk assessment, communication, continuous learning, adaptability, problem-solving, and critical thinking.

Good to Have Certifications (Preferred):

• Certified Information Systems Security Professional (CISSP)
• Certified Ethical Hacker (CEH)
• Certified Endpoint Security Professional (CESP)

Senior Data Engineer Job Description

Overview

The Senior Data Engineer will design, develop, and maintain scalable data pipelines and

infrastructure to support data-driven decision-making and advanced analytics. This role requires deep

expertise in data engineering, strong problem-solving skills, and the ability to collaborate with

cross-functional teams to deliver robust data solutions.

Key Responsibilities

Data Pipeline Development: Design, build, and optimize scalable, secure, and reliable data

pipelines to ingest, process, and transform large volumes of structured and unstructured data.

Data Architecture: Architect and maintain data storage solutions, including data lakes, data

warehouses, and databases, ensuring performance, scalability, and cost-efficiency.

Data Integration: Integrate data from diverse sources, including APIs, third-party systems,

and streaming platforms, ensuring data quality and consistency.

Performance Optimization: Monitor and optimize data systems for performance, scalability,

and cost, implementing best practices for partitioning, indexing, and caching.

Collaboration: Work closely with data scientists, analysts, and software engineers to

understand data needs and deliver solutions that enable advanced analytics, machine

learning, and reporting.

Data Governance: Implement data governance policies, ensuring compliance with data

security, privacy regulations (e.g., GDPR, CCPA), and internal standards.

Automation: Develop automated processes for data ingestion, transformation, and validation

to improve efficiency and reduce manual intervention.

Mentorship: Guide and mentor junior data engineers, fostering a culture of technical

excellence and continuous learning.

Troubleshooting: Diagnose and resolve complex data-related issues, ensuring high

availability and reliability of data systems.

Required Qualifications

Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science,

or a related field.

Experience: 5+ years of experience in data engineering or a related role, with a proven track

record of building scalable data pipelines and infrastructure.

Technical Skills:

Proficiency in programming languages such as Python, Java, or Scala.

Expertise in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra).

Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services

(e.g., Redshift, BigQuery, Snowflake).

Hands-on experience with ETL/ELT tools (e.g., Apache Airflow, Talend, Informatica) and

data integration frameworks.

Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and distributed

systems.

Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) is a

plus.

Soft Skills:

Excellent problem-solving and analytical skills.

Strong communication and collaboration abilities.

Ability to work in a fast-paced, dynamic environment and manage multiple priorities.

Certifications (optional but preferred): Cloud certifications (e.g., AWS Certified Data Analytics,

Google Professional Data Engineer) or relevant data engineering certifications.

Preferred Qualifica

Experience with real-time data processing and streaming architectures.

Familiarity with machine learning pipelines and MLOps practices.

Knowledge of data visualization tools (e.g., Tableau, Power BI) and their integration with data

pipelines.

Experience in industries with high data complexity, such as finance, healthcare, or

e-commerce.

Work Environment

Location: Hybrid/Remote/On-site (depending on company policy).

Team: Collaborative, cross-functional team environment with data scientists, analysts, and

business stakeholders.

Hours: Full-time, with occasional on-call responsibilities for critical data systems.

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.

Are you a creative wordsmith with a passion for digital marketing and blogging? Juntrax Solutions Private Limited is seeking a Content Writing intern to join our dynamic team. As an intern, you will have the opportunity to hone your writing skills, learn about digital marketing strategies, and contribute to our blog and social media channels.

Key responsibilities:

1. Research and write engaging and SEO-optimized content for our website and blog

2. Collaborate with the marketing team to develop content for social media platforms

3. Assist in creating email marketing campaigns and newsletters

4. Conduct keyword research and analysis to inform content creation

5. Proofread and edit content to ensure high quality and accuracy

6. Stay up-to-date on industry trends and best practices in content writing and digital marketing

7. Contribute fresh ideas and creativity to our content strategy

If you are a self-motivated individual with a strong command of the English language, a knack for storytelling, and a willingness to learn, we want to hear from you! Join us at Juntrax Solutions and take your content writing skills to the next level. Apply now and be a part of our innovative team.

The ideal candidate will have experience in all stages of the sales cycle. They should be confident with building new client relationship and maintaining existing ones. They should have evidence of strong skills and possess good negotiation skills.

• Build relationships with prospective clients
• Maintain consistent contact with existing clients
• Manage sales pipeline
• Analyze market and establish competitive advantages
• Track metrics to ensure targets are hit

Qualifications

• Bachelor's / BBA degree.
• 1+ years in SaaS sales industry.
• Experience in full sales cycle including deal closing demonstrated sales success.
• Strong negotiation skills.
• Strong communication and presentation skills.
• CRM experience shall be a BIG PLUS.

We are looking for an Android developer responsible for the development and maintenance of applications aimed at a vast number of diverse Android devices. Your primary focus will be the development of Android applications and their integration with back-end services. You will be working along-side other engineers and developers working on different layers of the infrastructure. Therefore, commitment to collaborative problem solving, sophisticated design, and creating quality products is essential.

* Translate designs and wireframes into high quality code.

* Design, build, and maintain high performance, reusable, and reliable Java code.

* Ensure the best possible performance, quality, and responsiveness of the application

* Identify and correct bottlenecks and fix bugs.

* Help maintain code quality, organization, and automatization

- Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes

- Familiarity with RESTful APIs to connect Android applications to back-end services

- Strong knowledge of Android UI design principles, patterns, and best practices

- Experience with offline storage, threading, and performance tuning

- Ability to design applications around natural user interfaces, such as “touch”

- Familiarity with the use of additional sensors, such as gyroscopes and accelerometers

- Knowledge of the open-source Android ecosystem and the libraries available for common tasks

- Ability to understand business requirements and translate them into technical requirements

- Familiarity with cloud message APIs and push notifications

- A knack for benchmarking and optimization

- Understanding of Google’s Android design principles and interface guidelines

- Proficient understanding of code versioning tools, such as Git

- Familiarity with continuous integration