Pune, India Remote (Country)

MVP Factory Technologies GmbH is hiring a Dataplane Acceleration & Fast Path - Senior software Engineer

Responsibilities

  • Design and implement high-performance data plane acceleration solutions.
  • Develop and optimize fast path technologies to enhance system performance.
  • Collaborate with cross-functional teams to integrate new features and improvements.
  • Conduct performance testing and profiling to identify and resolve bottlenecks.
  • Ensure the scalability and reliability of data plane solutions.
  • Work on low-latency and high-throughput network protocols.
  • Develop and maintain documentation for data plane technologies.
  • Participate in code reviews and provide constructive feedback to team members.
  • Contribute to the development of new data plane features and improvements.
  • Troubleshoot and debug complex issues in data plane technologies.
  • Stay updated with the latest trends and technologies in data plane acceleration.
  • Work on improving the performance of existing data plane solutions.
  • Collaborate with other engineers to design and implement new features.
  • Ensure the security and compliance of data plane technologies.
  • Develop and implement performance monitoring tools for data plane solutions.
  • Work on optimizing data plane technologies for different network environments.
  • Conduct research and development to improve data plane acceleration techniques.
  • Develop and implement data plane solutions for various use cases.
  • Collaborate with product managers to define the roadmap for data plane technologies.
  • Work on improving the efficiency of data plane solutions.
  • Develop and implement data plane solutions for different network protocols.
  • Conduct performance benchmarking to evaluate data plane solutions.
  • Work on optimizing data plane technologies for different hardware platforms.

Nice to Have

  • Experience with data plane acceleration in cloud environments.
  • Knowledge of data plane technologies in virtualized environments.
  • Experience with data plane solutions for edge computing.
  • Knowledge of data plane technologies in containerized environments.
  • Experience with data plane solutions for IoT devices.
  • Knowledge of data plane technologies in 5G networks.
  • Experience with data plane solutions for network functions virtualization (NFV).
  • Knowledge of data plane technologies in software-defined networking (SDN).
  • Experience with data plane solutions for network security.
  • Knowledge of data plane technologies in data center environments.

Compensation

Competitive salary

Work Arrangement

On-site

Team

Collaborative and innovative team environment.

What we offer

  • Competitive salary and benefits package.
  • Opportunities for professional growth and development.
  • Collaborative and innovative work environment.
  • Challenging projects and cutting-edge technologies.
  • Flexible working hours and remote work options.
  • Health insurance and wellness programs.
  • Employee assistance programs and support.
  • Training and development opportunities.
  • Performance bonuses and incentives.
  • Stock options and equity plans.
  • Paid time off and holidays.
  • Mentorship and coaching programs.
  • Team-building activities and events.
  • Modern and well-equipped office space.
  • Free snacks and beverages.
  • Relocation assistance for new hires.
  • Employee referral bonuses.
  • Continuous learning and development programs.
  • Opportunities for international assignments.

Our Values

  • Innovation and creativity.
  • Collaboration and teamwork.
  • Integrity and honesty.
  • Customer focus and satisfaction.
  • Continuous improvement and learning.
  • Respect and inclusivity.
  • Accountability and responsibility.
  • Transparency and communication.
  • Quality and excellence.
  • Sustainability and environmental responsibility.

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About company
MVP Factory Technologies GmbH
A technology company specializing in digital engineering and office management services
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Job Details
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Posted 2 months ago