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Principal Technical Lead (TL) - Data Pipeline - US

72% Flex
Remote: 
Full Remote
Contract: 
Salary: 
205 - 285K yearly
Work from: 

Offer summary

Qualifications:

10+ years of software development in large-scale Data Analytics, Proficiency in Golang or Python, telemetry frameworks, big data pipeline tech.

Key responsabilities:

  • Design and build data pipeline infrastructure for network analytics
  • Lead data collection, processing, integration, optimization, quality control
  • Setting up monitoring tools and maintenance mechanisms
  • Collaborate with cross-functional teams on all levels
Aviatrix logo
Aviatrix SME https://www.aviatrix.com/
201 - 500 Employees
See more Aviatrix offers

Job description

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Your missions

 
 

About The Role:
We are searching for a Principal Technical Lead (TL) for the Aviatrix Data Pipeline team in Bengaluru.
The data pipeline team develops and maintains the infrastructure to collect telemetry at scale by
building highly performant real-time data pipelines. Aviatrix unique position in enterprise cloud
environments present a unique set of technical challenges for the collection, transformation, and
transmission of data across a varied architectural landscape. The team's products enable the
development of data driven products in the Aviatrix suite of networking and security features
enabling our end-to-end multi-cloud solution.

As a Principal Technical Lead (TL), you will lead a small team of talented collaborative
software engineers focused on developing and implementing robust and scalable systems to
collect, process, and analyze network data. In this role, you will shape, design, and build
innovative new data pipelines of that scale. You will have an opportunity to make a significant
impact because there is a short time-to-market cycle, and your code will be touched by every
Aviatrix enterprise customer.     

Location: US Remote

What You’ll Do   
Architecture/Design: You will be responsible for designing and architecting the data
pipeline infrastructure needed for network analytics including data collection, storage,
and processing components to ensure scalability, reliability, and performance of the
pipeline.
Collection Data: You will lead and coordinate with other engineers to identify and
collect relevant data from network devices, such as routers, switches, and firewalls. 
Data Processing: You will lead and develop algorithms, processes to transform and
cleanse the raw network data. This may involve parsing, normalizing, aggregating, and
enriching the data to make it suitable for analysis.
Integration with Analytics Tools: You will have expertise in integrating the data
pipeline with various analytics tools and platforms such as data visualization tools and
ML
Performance Optimization: You will be responsible for optimizing the data pipeline to
handle large volumes of network data efficiently, minimizing latency and maximizing
throughput. This may involve parallel processing, distributed computing and leveraging
cloud
Quality Control: You will be responsible for implementing data quality checks and
validation mechanisms to ensure the accuracy, consistency, and completeness of the
network data flowing through the pipeline.
Monitoring and Maintenance: you will lead in setting up monitoring tools and
techniques to monitor the health and performance of the data pipeline. 
Collaboration and Leadership: as the Technical Software Lead, you will work closely
with cross–functional team  

Requirements

  • 10+ years of software development in building large-scale Data Analytics solutions.
  • 3+ years of hands-on engineering leadership 
  • Proficiency in Golang (preferred) or Python
  • Proficiency with common telemetry frameworks (Prometheus, Open Telemetry)
  • Proficiency with big data pipeline technologies (g., Logstash, FluentD, Kafka, Spark,
    Hadoop, Storm, Spark, Flink)  
  • Domain knowledge in networking: (OSI stack, BGP, IP, TCP, UDP, HTTP, DNS; Linux
    network stack, SDN, network automation)  
  • Experience with ML libraries (Scikit-learn, Pytorch, Tensorflow or Keras)  
  • Experience with Cloud Platforms a plus  
  • BS in Computer Science, Software Engineering, Machine Learning, Mathematics,
    Statistics, or equivalent 

Preferred Qualifications:

  • Past delivery of large-scale Data Analytics solutions for complex networking problems or
    environments
  • You have prior experience working on distribution systems.
  • You have experience with production operations and good practices for putting quality code in production and troubleshoot issues when they arise.
  • Take initiative and be responsible for delivering complex software by working effectively with the team and other stakeholders.
  • You feel at home communicating technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations).

US Pay Range

The US annual base salary range for this full-time position is $205,000-$285,000 + benefits + 401(k) match + equity. The pay range is determined by the role, work location, job-related skills, level, experience and relevant education. [Certain roles are eligible to earn sales commission, depending on the terms of the applicable plan.] The range displayed is the minimum and maximum target base salary and is applicable only for new hires for the listed position located in the US. Your Talent Advisor can share more details regarding salary ranges, benefits, and equity for your location during the hiring process.

#LI-LD1

#LI-REMOTE

BENEFITS

US: We cover 100% of employee premiums and 88% of dependent(s) premiums for medical, dental and vision coverage, 401(k) match, short and long-term disability, life/AD&D insurance, $1,000/year education reimbursement, and a flexible vacation policy. 

Outside the US: We offer a comprehensive benefits package which, (subect to regional variations) could include pension, private medical for you and dependents, generous holiday allowance, life assurance, long-term disability, annual wellbeing stipend

Your total compensation package will be based on job-related knowledge, education, certifications and location, per our aligned ranges.

About Aviatrix
Aviatrix is the cloud networking expert. We’re on a mission to make cloud networking simple so companies stay agile. Trusted by more than 500 of the world’s leading enterprises, our cloud networking platform creates the visibility, security, and control needed to adapt with ease and move ahead at speed. Combined with the Aviatrix Certified Engineer (ACE) Program, the industry's leading multicloud networking and security certification, Aviatrix empowers the cloud networking community to stay at the forefront of digital transformation.

WE WANT TO INCLUDE YOU

We embrace the fact that not everyone’s journey took the same route or started at the same place. If your experience doesn’t quite meet the requirements but the opportunity excites you and you believe you could be great, don’t let that hold you back from applying. Tell us what you CAN bring and what makes you special.

Aviatrix is a community where everyone's career can grow and we want to help you achieve your goals and be “your best YOU,” however that looks. If you're seeking an opportunity where you can be excited to start work every morning with enthusiastic people, make a real difference and be part of something amazing then let’s talk. We want to get to know you and how we could grow together.

Aviatrix, Inc. is an equal opportunity employer and does not make hiring decisions based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

CPRA - California Applicant Privacy Notice

 

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Soft Skills

  • Effective Communication
  • Initiative
  • Networking
  • Team Collaboration
  • Leadership
  • Problem Solving

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