Network Ops Engineer

1 month ago

india Algonomy Full time

Job Title: Network Ops Engineer

Location: Bangalore


About Us: Algonomy has a global presence, with operations in over 20 countries. Algonomy is a leading provider of services to enhance the personalized customer experience for the end users of our clients. This can include personalized product recommendations, content and information. We are committed to innovation and excellence in providing cutting-edge solutions to our clients.

We are seeking a skilled and motivated Network Engineer with 5 years of experience to join our dynamic team.


Job Summary: As a Network Engineer at (Algonomy), you will be responsible for designing, implementing, and maintaining our network infrastructure to ensure optimal performance and reliability.

You will work closely with other IT professionals to troubleshoot network issues, manage network security, and support various IT projects.


Key Responsibilities:

  • Network Design and Implementation:
  • Design and deploy scalable and reliable network solutions that meet the company's needs.
  • Implement and configure routers, switches, firewalls, and other network devices.
  • Network Maintenance and Monitoring:
  • Monitor network performance and troubleshoot connectivity issues.
  • Perform regular network maintenance tasks, including firmware updates and configuration changes.
  • Security Management:
  • Implement and manage network security protocols to protect against unauthorized access and cyber threats.
  • Conduct regular security assessments and vulnerability scans.
  • Documentation and Reporting:
  • Maintain detailed documentation of network configurations, processes, and procedures.
  • Provide regular reports on network performance, incidents, and improvements.
  • Collaboration and Support:
  • Work closely with IT support teams to resolve network-related issues.
  • Collaborate with vendors and service providers for network upgrades and support.
  • Project Management:
  • Lead and participate in network-related projects, including upgrades, expansions, and migrations.
  • Ensure that projects are completed on time and within budget.

Qualifications Education:

  • Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent work experience.

Experience :

  • Minimum of 5 years of experience in network engineering or a related role.
  • Proven experience with network design, implementation, and troubleshooting.
  • Technical Skills:
  • Proficiency with networking protocols (TCP/IP, DNS, DHCP, etc.).
  • Hands-on experience with network devices (routers, switches, firewalls, etc.).
  • Familiarity with network management tools and security practices.
  • Knowledge of cloud networking and virtualization technologies is a plus.
  • Certifications:
  • Relevant certifications such as CCNA, CCNP or similar are highly desirable.

Soft Skills:

  • Strong analytical and problem-solving abilities.
  • Excellent communication and teamwork skills.
  • Ability to manage multiple tasks and prioritize effectively.


About Company:

Algonomy (previously Manthan-RichRelevance) is a global leader in algorithmic customer engagement powering digital first strategies for retailers and brands. With industry-leading retail expertise in connecting demand to supply with a real-time customer data platform as the foundation, Algonomy enables 1:1 omnichannel personalization, customer journey orchestration and customer analytics with Xen AI at its core.


Globally, over 400 retail brands such as HP, L’oreal, Tiffany & Co, Aldi, McDonalds, Zalora and Pizza Hut use Algonomy’s made-for-retail solutions to orchestrate hyper-personalized customer engagement and optimize their merchandising and supplier management. Algonomy, which stands for “systematized knowledge of algorithms”, provides rapid time to value across acquisition, conversion, growth and loyalty with its 300+ pre-built algorithms.


Headquartered in San Francisco and Bangalore, our presence spans over 20 countries. To learn more, please visit

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