Job Description: SOC Manager
ESSENTIAL RESPONSIBILITIES
• Leadership & Team Management: Leads the SOC team providing clear direction, fostering teamwork and collaboration. Regularly assesses the strengths and weaknesses of team members, providing mentoring, coaching, and opportunities for growth. Hands-on execution across operational challenges, making decisive judgments while ensuring high morale and cohesion.
• Incident Management: Ensures that all security events and incidents are identified, categorized, and responded to promptly and thoroughly. This includes setting up appropriate escalation processes, coordinating between various teams for cross-functional incidents, and ensuring that incidents are closed with comprehensive documentation and lessons learned.
• Continuous Improvement: Regularly reviews and analyzes the efficiency of the existing operations processes, tools, and protocols. Implement changes based on findings, feedback from the team, and changing threat landscapes. This also involves staying updated with advancements in SOC technologies and methodologies.
• Technology Management: Oversees the implementation, configuration, and continuous tuning of various security tools, including the client’s Security Platform.
• Training and Development: Designs and implements a continuous training plan for the existing and new SOC team members, ensuring they have the latest skills and knowledge and are onboarded and productive as quickly as possible. This also involves organizing periodic simulation exercises (like red teaming) to test and improve incident response capabilities.
• Reporting: Establishes a comprehensive reporting framework that offers insights into the SOC's performance. This includes metrics on incident volumes, response times, and resolution success rates.
These reports should be presented to stakeholders clearly, actionable, highlighting successes and areas for improvement.
REQUIRED EXPERIENCE
• Minimum of 6+ years in cybersecurity roles with at least 3 years in a SOC leadership position.
Experience in an MSSP or a large-scale global SOC is highly preferred.
• Experience in actively managing the lifecycle of security incidents.
• Strong knowledge and familiarity with major cloud provider technologies (AWS, Azure, etc.)
• Solid understanding of networking protocols and infrastructure designs, including cloud infrastructures, routing, firewall functionality, host and network intrusion detection systems, encryption, load balancing, and other network protocols.
• Experience with virtualization technologies (VMware, Microsoft Hyper-V).
• Experience with the following tools and technologies:
– Security Information and Event Management (SIEM)
– Intrusion Detection & Prevention (IDP)
– Endpoint Detection & Response (EDR)
– Network Detection & Response (NDR)
– Network Analysis tools - Wireshark, tcpdump, etc.
– Scripting in Python, Bash, PowerShell
• Experience in regulated environments such as HIPAA or PCI preferred.
• Strong governance skills in time management, project management, and stakeholder management.
• Excellent communication skills, with ability to lead security-reviews with clients; keep stakeholders appraised of key issues/risks/incidents.
PREFERRED CERTIFICATIONS
• CISSP – Certified Information Systems Security Professional
• CISM – Certified Information Security Manager
• OSCP – Offensive Security Certified Professional
• CEH – Certified Ethical Hacker
• GSEC – SANS GIAC Security Essentials
• CompTIA – Security
OTHER REQUIREMENTS
· Flexibility of schedule is required to meet the demands of the position.
· This role requires to work in shifts (including night shift) and support clients in North America.

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Position Summary
We are seeking a proactive and resourceful HR Generalist to manage day-to-day HR operations
and drive people-centric initiatives across departments. The ideal candidate will support talent
acquisition, employee engagement, policy implementation, compliance, and overall HR strategy.
Key Responsibilities
1. Recruitment & Onboarding
Coordinate end-to-end recruitment process including job postings, screening,
interviewing, and offer roll-out.
Facilitate smooth onboarding and induction processes for new hires.
Work with department heads to forecast staffing needs.
2. Employee Relations & Engagement
Act as a point of contact for employee queries, grievances, and conflict resolution.
Drive employee engagement activities and events.
Conduct stay interviews, pulse surveys, and exit interviews.
3. HR Operations
Maintain and update HRIS/database for employee records.
Prepare HR reports and dashboards (attendance, attrition, etc.).
Manage performance appraisal processes in coordination with leadership.
4. Policy & Compliance
Implement and ensure adherence to HR policies and labor law regulations.
Support in drafting and revising company policies and HR manuals.
Handle documentation, contracts, and compliance audits.
5. Training & Development
Coordinate training programs and development plans aligned with organizational goals.
Identify skill gaps and assist in L&D initiatives.
Key Skills & Qualifications
Bachelor’s degree in Human Resources, Business Administration, or related field
(MBA/PGDM preferred).
2–4 years of experience in an HR generalist or similar role.
Strong understanding of labor laws and HR best practices.
Proficiency with HR software/tools (e.g., Zoho People, Excel, ATS platforms).
Excellent interpersonal, communication, and problem-solving skills.
Ability to work independently and collaboratively in a fast-paced environment.
Internship Opportunity at REDHILL SOFTEC
Position: Software Intern
Duration: 3 Months
Domains: Machine Learning or Full Stack Web Development
Working Hours: 10 AM - 6 PM
About REDHILL SOFTEC:
REDHILL SOFTEC is a dynamic and innovative tech company committed to fostering talent and driving technological advancements. We are excited to announce an exclusive internship opportunity for MCA students passionate about Machine Learning or Full Stack Web Development.
Internship Details:
Duration: The internship spans 3 months, offering a deep dive into either Machine Learning or Full Stack Web Development.
Domains:
Machine Learning: Work on cutting-edge ML projects, learning and applying various algorithms and data analysis techniques.
Full Stack Web Development: Gain hands-on experience in both front-end and back-end development, working with the latest web technologies.
Stipend: This is an unpaid internship designed to provide valuable industry experience and skill development.
Working Hours: Interns are expected to work from 10 AM to 6 PM, ensuring a full-time immersive experience.
What We Offer:
Hands-on Experience: Engage in real-world projects that enhance your technical skills and industry knowledge.
Mentorship: Learn from experienced professionals who will guide and support you throughout the internship.
Skill Development: Acquire practical skills in Machine Learning or Full Stack Web Development, making you industry-ready.
Networking: Connect with industry experts and like-minded peers, building a strong professional network.
Who Should Apply:
MCA/BE/BCA students with a keen interest in Machine Learning or Full Stack Web Development.
Individuals looking to gain practical industry experience and enhance their technical skills.
Self-motivated learners eager to work on real-world projects and solve challenging problems.
How to Apply:
Interested candidates can apply by visiting our website and completing the registration process. Remember, spots are limited, and early applications are encouraged to secure your place in this enriching program.
Join REDHILL SOFTEC and take a significant step towards a successful career in technology!
REDHILL SOFTEC
Vijayanagar Bangalore
www.redhillsoftec.com
We look forward to welcoming passionate and driven interns to our team!

Key Responsibilities
Develop and deploy scalable AI-powered applications using the Python stack.
Leverage cutting-edge AI/ML technologies such as LangChain, LangGraph, AutoGen, Phidata, CrewAI Hugging Face, OpenAI APIs, PyTorch, TensorFlow, and other advanced frameworks to build innovative AI applications. Write clean, efficient, and well-documented code adhering to best practices.
Build and manage robust APIs for integrating AI solutions into applications.
Research and experiment with emerging technologies to discover new AI-driven use cases.
Deploy and manage AI solutions in cloud environments (AWS, Azure, GCP), ensuring security, scalability, and performance.
Collaborate with product managers, engineers, and UX/UI designers to define AI application requirements and align them with business objectives.
Apply MLOps principles to streamline AI model deployment, monitoring, and optimization.
Solve complex problems using foundational knowledge of generative AI, machine learning, and data processing techniques.
Contribute to continuous improvement of development processes and practices.
Resolve production issues by conducting effective troubleshooting and root cause analysis (RCA) within SLAs. Work with operations teams to support product deployment and issue resolution.
Requirements
Educational Background
Bachelor’s or Master’s degree in Computer Science or related fields with a strong academic track record. Experience
Technical Skills:
3+ years of hands-on experience in building and deploying AI applications on Python stack. Strong knowledge of Python and related frameworks.
Good knowledge of few of the AI/ML frameworks and agentic frameworks and platforms like LangChain, LangGraph, AutoGen, Hugging Face, CrewAI, OpenAI APIs, PyTorch, and TensorFlow etc.
Experience with AI/ML workflows, including data preparation, model deployment, and optimization. Proficiency in building and consuming RESTful APIs for connecting AI models with web applications. Knowledge of MLOps tools and practices, including model lifecycle management, CI/CD for AI, and model monitoring.
Familiarity with cloud platforms like AWS, Azure, or Google Cloud, including containerization (Docker) and orchestration (Kubernetes).
Experience with CI/CD pipelines, version control (Git), and automation frameworks. Strong understanding of algorithms, AI/ML fundamentals, and data preprocessing techniques.
Soft Skills:
Passion for exploring, experimenting and implementing emerging AI technologies. Self-starter who can independently and collaboratively in a fast-paced environment. Excellent problem-solving and analytical abilities to tackle complex challenges.
Effective communication skills to explain AI concepts and strategies to stakeholders.
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