Network Operations Engineer II at Tekion

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, TechnologyIndustries

Requirements

Bachelor’s degree in Statistics, Mathematics, Computer Science or Engineering
5+ years of experience in NOC/Production Support/Command Center roles
Advanced knowledge of observability platforms (AppDynamics, Dynatrace, Datadog, New Relic)
Extensive hands-on experience across multiple platforms
In-depth understanding of ITIL processes and best practices
Superior problem-solving and troubleshooting skills
Proficiency in log monitoring solutions (Sumologic, Splunk) is highly desirable
Extensive experience with cloud service providers (Azure, AWS) is preferred
Preferred Skills
Expertise in cloud computing platforms (AWS, Azure)
Significant experience in technical support or operations roles, ideally in a SaaS environment
Ability to create comprehensive technical documentation and knowledge bases
Proven experience in monitoring and maintaining large-scale systems
Advanced knowledge of monitoring and logging tools (Prometheus, Grafana, ELK Stack)
Experience in Dev support is highly beneficial

Responsibilities

Lead the monitoring and maintenance of system health using observability platforms such as AppDynamics, Dynatrace, Datadog, or New Relic
Provide expert consultation, design, and implementation of APM, Real User Monitoring, Synthetic Monitoring, Infrastructure Monitoring, and Log Management modules
Oversee incident, problem, change, and release management processes as per ITIL standards
Manage and drive major incident bridge calls and post-incident reviews (PIRs)
Conduct root cause analysis and troubleshooting using tools like New Relic and Kibana
Develop and maintain monitoring alerts and dashboards
Resolve production issues across various services and stack levels
Ensure compliance with Service Level Objectives (SLOs) and Service Level Agreements (SLAs)
Develop monitoring solutions to detect symptoms and prevent outages
Automate operational processes to enhance system efficiency and reduce manual tasks
Take responsibility for on-call rotations to immediately address potential issues or disruptions
Lead and mentor junior NOC staff as required
Work rotational shifts (Day/Night/Weekends) as needed

Skills

Key technologies and capabilities for this role

AppDynamicsDynatraceDatadogNew RelicKibanaAPMReal User MonitoringSynthetic MonitoringInfrastructure MonitoringLog ManagementITILincident managementroot cause analysistroubleshootingmonitoring dashboards

Questions & Answers

Common questions about this position

What experience level is required for the Network Operations Engineer II role?

A minimum of 5 years of experience in NOC, Production Support, or Command Center roles within a 24x7 operational environment is required.

What are the key skills and tools needed for this position?

Advanced knowledge of observability platforms like AppDynamics, Dynatrace, Datadog, or New Relic, ITIL processes, strong analytical and troubleshooting skills, and experience with tools like New Relic and Kibana are essential.

What is the work schedule like for this role?

The role involves rotational shifts including day, night, and weekends, as well as on-call rotations to address issues.

What is the company culture like at Tekion?

Tekion fosters an elite, progressive, and evolving culture for passionate individuals who take pride in solving complex problems and collaborating to achieve great things.

What education is required for this position?

A Bachelor’s degree in Statistics, Mathematics, Computer Science, or Engineering is required.

Tekion

Cloud-native platform for automotive retail management

About Tekion

Tekion has developed a cloud-native platform designed for the automotive retail industry. Its main product is a Dealer Management System (DMS) that utilizes technologies like Big Data, the Internet of Things (IoT), and Machine Learning (ML) to improve the operations of car dealerships. The DMS provides a centralized view and performance metrics for dealership groups, allowing for better management and increased operational efficiency. Tekion differentiates itself from competitors by being the first and fastest cloud-native DMS available, and it integrates seamlessly with major Original Equipment Manufacturers (OEMs) at no extra cost. The company's goal is to enhance dealership efficiency, profitability, and customer experience through its subscription-based software-as-a-service (SaaS) model, which also includes additional services to help dealerships identify upsell and cross-sell opportunities.

Pleasanton, CaliforniaHeadquarters

2016Year Founded

$617.8MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Data & Analytics, Automotive & Transportation, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Competitive compensation and generous stock options

100% employer-paid top-of-the-line medical, dental and vision coverage

Great benefits including unlimited PTO, parental leave and free snacks and beverages

The opportunity to work with some of the brightest minds from Silicon Valley’s most dominant and successful companies

Be part of an early stage, hyper-growth start-up with the opportunity to grow and prosper

Work on the latest and coolest technologies – everything is home-grown and built ground-up

A dynamic work environment with a strong sense of community and collaboration

The open and transparent culture that encourages innovation, rewards performance and discourages hierarchy

Exciting opportunities for career growth and development

Risks

Competition from established players like CDK Global may impact Tekion's market share.

Data privacy concerns could arise from integrating generative AI into Tekion's platform.

Reliance on partnerships may pose risks if expected synergies are not achieved.

Differentiation

Tekion offers the first cloud-native platform for the automotive retail industry.

The platform integrates AI and machine learning for predictive analytics and personalization.

Tekion's Automotive Partner Cloud enables seamless data sharing across the automotive ecosystem.

Upsides

Increased adoption of cloud-native solutions boosts demand for Tekion's platform.

AI integration in dealership systems enhances customer experience and operational efficiency.

Subscription-based SaaS model aligns with industry trends, supporting Tekion's growth.

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