System Reliability Engineer / Operations Engineering - Data.

About the Role

We re seeking curious thinkers looking to co-author the next chapters of our story. Joining now means helping shape our vision, structures, and systems; playing a key-role as we launch into our ambitious future.

Were looking for a Senior Operations Engineering / System Reliability Engineer - Data. to work on the NextGen connectivity platform across platforms. This is an outstanding opportunity to help build an ambitious future for our flagship product.

What Youll Do

Monitoring Troubleshooting:

• Proactively monitor data quality and system performance.

• Troubleshoot and resolve data-related problems in a timely manner.

Data Validation Verification:

• Perform thorough validation and verification of data in production environments.
• Ensure data accuracy, completeness, and reliability by developing and executing data validation plans.
• Identify discrepancies and inconsistencies in data, and work with relevant teams to resolve them.

Quality Assurance (QA):

• Design, develop, and execute test plans and test cases for data validation.
• Work with cross functional teams to integrate data validation into overall testing strategies in Neuron Products.

Data Analysis:

• Develop and maintain Kibana dashboards and reports to monitor key metrics and performance indicators.
• Analyse data trends and patterns to identify potential issues and areas for improvement.
• Provide insights and recommendations based on data analysis to enhance data quality and reliability.

Collaboration:

• Work closely with Support, QA, Data, QOE, DevOps, and Engineering teams.
• Participate in cross-functional meetings to discuss and plan data quality improvements.

Documentation:

• Create and maintain comprehensive documentation of data validation and verification processes (Test Plan, Test Cases and Test Results).
• Ensure all documentation is up-to-date and accessible to relevant teams.
• Create a knowledge base on recurring issues for Support teams.

What Youll Need

• 5 years of experience in network engineering, technical support, or a related field, with a focus on advanced troubleshooting and problem-solving.
• Deep technical expertise in networking technologies, including TCP/IP Foundations, routing protocols (e.g., BGP, OSPF), switching technologies (e.g., VLANs, STP), network security (e.g., firewalls, VPNs).
• Experience with network troubleshooting tools and protocols (e.g., Wireshark, SNMP, NetFlow).
• Strong analytical and problem-solving skills, with the ability to analyze complex technical issues and develop effective solutions.
• Excellent communication and interpersonal skills, with the ability to interact professionally with customers, colleagues, and stakeholders at all levels.
• Ability to work effectively in a fast-paced environment, manage multiple priorities, and meet deadlines.
• Industry certifications such as CCNP, CCIE, or equivalent is highly desirable.

Preferred Qualifications :

• Experience working in a technical assistance center (TAC) or similar customer support environment.
• Familiarity with network automation and scripting languages (e.g., Python, Perl) for task automation and tool development.
• Knowledge of cloud networking technologies and architectures (e.g., AWS, Azure, GCP).
• Good understanding of QOE, DPI and Kibana .

What Well Offer

• Aviation, Maritime domain exposure, and business knowledge
• Connectivity and content engineering and business knowledge
• Opportunity to work in cross-functional teams.
• Competitive health benefits that start on day one
• Generous paid time off policy
• Performance-based bonus
• Opportunity to work across teams and organisations.