📍 Job Overview

Job Title: Lead Platform Engineer (Senior - Network Observability Engineer)
Company: DTCC
Location: Chennai, India
Job Type: Full time, Hybrid (3 days onsite, 2 days remote)
Category: DevOps, Infrastructure
Date Posted: 2025-07-04
Experience Level: 5-10 years
Remote Status: On-site/Hybrid

🚀 Role Summary

Lead DTCC's Network Infrastructure Monitoring tools, ensuring proper configuration and instrumentation.
Collaborate with Network Observability Engineering, Network Operations, and Network Engineering teams to address troubleshooting challenges and develop action plans.
Analyze network data to identify patterns, anomalies, and trends, and use advanced analytics to troubleshoot complex connectivity issues.
Improve user experiences by optimizing performance, reducing bottlenecks, and ensuring business readiness through constant health monitoring.

📝 Enhancement Note: This role requires a strong technical background in network observability, with a focus on data collection, analysis, and visualization. The ideal candidate will have experience with various network monitoring tools and protocols, and be able to work collaboratively with cross-functional teams.

💻 Primary Responsibilities

Data Collection: Gather information from network devices, including traffic, logs, SNMP data, and device statistics.
Data Analysis: Process and analyze data to identify patterns, anomalies, and trends using advanced analytics.
Documentation: Create and maintain documentation, schematics, templates, and presentations for operational use and collaboration.
Troubleshooting: Use data analysis to identify root causes of issues and fix complex connectivity problems.
Visualization: Create custom dashboards and visual representations to gain insights from data.
Collaboration: Work with engineering and operations teams to ensure end-to-end support for design, implementation, and operations.
User Experience Improvement: Analyze telemetry data to optimize performance, reduce bottlenecks, and enhance user experiences.

📝 Enhancement Note: The primary responsibilities of this role require a strong understanding of network monitoring tools, protocols, and data analysis techniques. The ideal candidate will be able to translate complex data into actionable insights and collaborate effectively with cross-functional teams.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.

Experience: Minimum of 6 years of related experience in network observability, network engineering, or a similar role.

Required Skills:

Advanced knowledge of network monitoring protocols (e.g., SNMP v3, netflow)
Extensive experience managing Network Performance Monitoring (NPM) tools (e.g., NNMi, SolarWinds)
Strong network troubleshooting skills in campus and data center environments
Solid understanding of technologies such as Splunk, NetBrain, OpenText tools suite, SolarWinds, Event Management Tools, syslog, Network Analysis Tools, Gigamon Packet Directors, and Packet Capture tools
Ability to supervise and analyze network system performance using diverse network capabilities and tools
Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams

Preferred Skills:

Experience with network observability tools and strategies
Familiarity with network design and implementation projects
Knowledge of data standards and governance in the financial markets
Experience with data visualization tools and techniques

📝 Enhancement Note: The required and preferred skills for this role emphasize advanced knowledge of network monitoring tools, protocols, and data analysis techniques. The ideal candidate will have a strong background in network observability and experience working with cross-functional teams.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate experience with network monitoring tools, including data collection, analysis, and visualization.
Showcase complex network troubleshooting cases and the ability to identify root causes of issues.
Highlight collaborative projects with cross-functional teams, emphasizing the impact on user experiences and business readiness.
Include examples of data-driven decision-making and optimization strategies.

Technical Documentation:

Provide documentation samples, including network diagrams, schematics, and templates.
Highlight the use of advanced analytics and data analysis techniques to identify patterns and trends.
Include examples of data visualization and dashboard creation using relevant tools.
Demonstrate understanding of network performance metrics and optimization techniques.

📝 Enhancement Note: The portfolio requirements for this role focus on network observability skills, data analysis, and collaboration with cross-functional teams. The ideal candidate will provide concrete examples of network monitoring, troubleshooting, and optimization projects with clear, data-driven insights.

💵 Compensation & Benefits

Salary Range: INR 1,800,000 - 2,500,000 per annum (Estimated, based on experience level and industry standards for Senior Network Observability Engineers in Chennai)

Benefits:

Competitive compensation, including base pay and annual incentive
Comprehensive health and life insurance, and well-being benefits (based on location)
Pension and retirement benefits
Paid time off and personal/family care, and other leaves of absence
Flexible/hybrid work model (3 days onsite, 2 days remote)

Working Hours: 40 hours per week, with flexible deployment windows and maintenance schedules

📝 Enhancement Note: The estimated salary range for this role is based on market research for Senior Network Observability Engineers in Chennai, India. The benefits package is tailored to the specific needs of web technology professionals, with a focus on work-life balance and comprehensive health and well-being support.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial services and market infrastructure

Company Size: Large (Global organization with multiple locations and over 1,000 employees)

Founded: 1999

Team Structure:

Network Observability Engineering team, responsible for network monitoring, instrumentation, and data analysis.
Network Operations team, focused on network management, troubleshooting, and maintenance.
Network Engineering team, dedicated to network design, implementation, and architecture.
Cross-functional collaboration with design, marketing, and business teams to ensure user experience and business readiness.

Development Methodology:

Agile/Scrum methodologies for network observability projects, with sprint planning and regular team syncs.
Code reviews, testing, and quality assurance practices to ensure data accuracy and reliability.
Deployment strategies, CI/CD pipelines, and server management to maintain high availability and business readiness.

Company Website: https://www.dtcc.com/

📝 Enhancement Note: DTCC is a global organization with a strong focus on innovation and collaboration in the financial services industry. The company culture emphasizes integrity, transparency, and continuous learning, with a commitment to creating a diverse and inclusive workplace.

📈 Career & Growth Analysis

Web Technology Career Level: Senior Network Observability Engineer, responsible for leading network infrastructure monitoring tools and collaborating with cross-functional teams to address troubleshooting challenges and optimize user experiences.

Reporting Structure: This role reports directly to the Head of Network Observability Engineering and collaborates with Network Operations, Network Engineering, and other relevant teams.

Technical Impact: The Senior Network Observability Engineer has a significant impact on DTCC's network performance, user experiences, and business readiness. By analyzing network data and identifying trends, anomalies, and patterns, this role enables proactive issue resolution and optimizes network performance.

Growth Opportunities:

Technical Growth: Develop advanced skills in network observability, data analysis, and visualization, and explore emerging technologies in the field.
Leadership Growth: Build collaborative teams across the organization, mentor junior team members, and contribute to strategic decision-making processes.
Career Progression: Pursue opportunities in senior technical roles, architecture, or management within DTCC's Network Observability or broader IT organization.

📝 Enhancement Note: The career and growth analysis for this role emphasizes the technical impact and leadership opportunities available to Senior Network Observability Engineers at DTCC. With a focus on continuous learning and collaboration, this role offers significant potential for professional development and career advancement.

🌐 Work Environment

Office Type: Modern, collaborative workspace with dedicated network observability and engineering teams, and cross-functional collaboration areas.

Office Location(s): Chennai, India (with flexible/hybrid work arrangements)

Workspace Context:

Collaborative Environment: Foster a culture of open communication and knowledge sharing among network observability, engineering, and operations teams.
Technical Tools: Provide access to advanced network monitoring tools, data analysis software, and visualization platforms.
Cross-Functional Collaboration: Encourage interaction with design, marketing, and business teams to ensure user experience and business readiness.

Work Schedule: Flexible/hybrid work model (3 days onsite, 2 days remote), with deployment windows, maintenance schedules, and project deadlines managed collaboratively within the team.

📝 Enhancement Note: The work environment at DTCC emphasizes collaboration, knowledge sharing, and continuous learning. With a flexible/hybrid work model and dedicated network observability and engineering teams, this role offers a dynamic and supportive workspace for technical professionals.

📄 Application & Technical Interview Process

Interview Process:

Technical Assessment: Complete a hands-on network observability challenge, focusing on data collection, analysis, and visualization using relevant tools and technologies.
Technical Deep Dive: Discuss network architecture, design principles, and troubleshooting strategies, with a focus on real-world scenarios and problem-solving.
Behavioral and Cultural Fit Assessment: Evaluate communication, collaboration, and leadership skills, and assess cultural fit within the DTCC organization.
Final Evaluation: Present a summary of your technical approach, data-driven insights, and recommendations for network optimization and user experience improvement.

Portfolio Review Tips:

Highlight complex network troubleshooting cases and data-driven decision-making processes.
Showcase collaborative projects with cross-functional teams, emphasizing the impact on user experiences and business readiness.
Include examples of data visualization and dashboard creation using relevant tools and techniques.

Technical Challenge Preparation:

Brush up on network monitoring tools, protocols, and data analysis techniques.
Practice network troubleshooting exercises and data visualization tasks using relevant tools and technologies.
Prepare for behavioral and cultural fit assessments by reflecting on your communication, collaboration, and leadership skills.

ATS Keywords: Network Observability, Data Collection, Data Analysis, Network Monitoring, Network Troubleshooting, SNMP, Netflow, NPM, NNMi, SolarWinds, Collaboration, User Experience, Dashboarding, Data Visualization, Network Performance

📝 Enhancement Note: The application and technical interview process for this role emphasizes network observability skills, data analysis, and collaboration with cross-functional teams. By focusing on real-world scenarios and data-driven insights, candidates can demonstrate their technical expertise and cultural fit within the DTCC organization.

🛠 Technology Stack & Web Infrastructure

Network Monitoring Tools:

Splunk
NetBrain
OpenText tools suite
SolarWinds
Event Management Tools
syslog
Network Analysis Tools
Gigamon Packet Directors
SNMP
Packet Capture tools

Network Monitoring Protocols:

SNMP v3
netflow

Data Analysis and Visualization Tools:

Advanced analytics and data analysis software (e.g., Python, R, SQL)
Data visualization platforms (e.g., Tableau, Power BI, Looker)

📝 Enhancement Note: The technology stack for this role emphasizes network monitoring tools, protocols, and data analysis and visualization techniques. By leveraging advanced analytics and relevant tools, Senior Network Observability Engineers at DTCC can gain insights from network data and optimize performance and user experiences.

👥 Team Culture & Values

Network Observability Values:

Integrity: Foster a culture where integrity and transparency are encouraged, with a focus on open communication and knowledge sharing.
Continuous Learning: Stay ahead of changes in network observability and seek out learning opportunities to ensure knowledge is up-to-date.
Collaboration: Build collaborative teams across the organization, with a focus on mentoring junior team members and contributing to strategic decision-making processes.
User-Centric: Focus on user experiences and business readiness, with a commitment to optimizing network performance and enhancing user experiences.

Collaboration Style:

Cross-Functional Integration: Collaborate with design, marketing, and business teams to ensure user experience and business readiness.
Code Review Culture: Encourage open communication and knowledge sharing among network observability, engineering, and operations teams.
Knowledge Sharing: Foster a culture of continuous learning and mentoring, with a focus on technical skill development and emerging technologies.

📝 Enhancement Note: The network observability values and collaboration style at DTCC emphasize integrity, continuous learning, and user-centric approaches. By fostering a culture of open communication, knowledge sharing, and collaboration, DTCC enables Senior Network Observability Engineers to optimize network performance and enhance user experiences.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Complex Network Troubleshooting: Address complex connectivity issues and identify root causes using advanced analytics and data analysis techniques.
Data-Driven Decision Making: Use data analysis to optimize network performance, reduce bottlenecks, and enhance user experiences.
Emerging Technologies: Stay up-to-date with emerging network observability tools, protocols, and data analysis techniques, and explore their application within DTCC's network infrastructure.

Learning & Development Opportunities:

Technical Skill Development: Pursue advanced certifications, attend industry conferences, and engage in continuous learning to develop expertise in network observability, data analysis, and visualization.
Mentorship and Leadership: Invest effort in mentoring junior team members, contributing to strategic decision-making processes, and developing leadership skills.
Architecture Decision Making: Collaborate with cross-functional teams to make informed decisions about network architecture, design, and implementation projects.

📝 Enhancement Note: The technical challenges and learning opportunities for this role emphasize network observability skills, data analysis, and collaboration with cross-functional teams. By focusing on continuous learning and knowledge sharing, Senior Network Observability Engineers at DTCC can optimize network performance and enhance user experiences.

💡 Interview Preparation

Technical Questions:

Network Monitoring Tools: Demonstrate expertise in various network monitoring tools, protocols, and data analysis techniques.
Data-Driven Decision Making: Explain how you have used data analysis to optimize network performance, reduce bottlenecks, and enhance user experiences in previous roles.
Network Troubleshooting: Describe complex network troubleshooting cases and the steps you took to identify root causes and resolve issues.

Company & Culture Questions:

DTCC Culture: Explain how you would contribute to DTCC's culture of integrity, transparency, and continuous learning, and how you would foster collaboration and knowledge sharing within the network observability team.
User-Centric Approach: Describe your experience with user-centric network observability and how you have optimized network performance to enhance user experiences in previous roles.
Cross-Functional Collaboration: Explain how you have collaborated with cross-functional teams in previous roles, and how you would contribute to DTCC's collaborative work environment.

Portfolio Presentation Strategy:

Data-Driven Insights: Highlight data-driven insights and recommendations for network optimization and user experience improvement in your portfolio projects.
Collaborative Projects: Showcase collaborative projects with cross-functional teams, emphasizing the impact on user experiences and business readiness.
Data Visualization: Include examples of data visualization and dashboard creation using relevant tools and techniques, with a focus on clear and actionable insights.

📝 Enhancement Note: The interview preparation tips for this role emphasize network observability skills, data analysis, and collaboration with cross-functional teams. By focusing on real-world scenarios, data-driven insights, and user-centric approaches, candidates can demonstrate their technical expertise and cultural fit within the DTCC organization.

📌 Application Steps

To apply for this Senior Network Observability Engineer position at DTCC:

Customize Your Portfolio: Highlight your experience with network monitoring tools, data analysis, and visualization, and showcase collaborative projects with cross-functional teams.
Optimize Your Resume: Emphasize your technical skills, network observability experience, and relevant industry keywords to improve search visibility and match with DTCC's ATS.
Prepare for Technical Challenges: Brush up on network monitoring tools, protocols, and data analysis techniques, and practice network troubleshooting exercises and data visualization tasks.
Research DTCC: Learn about DTCC's culture, values, and commitment to user experiences, and prepare for behavioral and cultural fit assessments.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web technology industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Lead Platform Engineer