Senior Software Engineer, Data Engineering at Cisco | CA, US | Rezi

Senior Software Engineer, Data Engineering at Cisco

Senior Software Engineer, Data Engineering

Cisco · CA, US

2 weeks ago

Senior Software Engineer, Data Engineering

Cisco · CA, US

15 days ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now
Resume preview

Tailor your resume to this Senior Software Engineer, Data Engineering role.

Rezi rewrites your resume against Cisco's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Senior Software Engineer, Data Engineering posting at Cisco — free, in seconds.

About the Role

Join Cisco's Network Platform team as a Data Engineer to build and operate large-scale systems that process petabytes of data daily from over 25 million network devices. You will engineer resilient, high-performance distributed systems within Kubernetes environments, turning raw telemetry into reliable data products and driving global operational insights.

Responsibilities

  • Architect and operate scalable data pipelines capable of ingesting petabyte-scale telemetry from over 25 million network devices.
  • Engineer resilient, high-performance distributed systems within Kubernetes environments.
  • Translate complex data requirements into dependable solutions.
  • Establish robust observability standards using ELK and Grafana.
  • Integrate AI-assisted engineering tools to accelerate the development lifecycle.

Requirements

  • Experience building, operating, or debugging distributed systems or backend services that process at least 1TB of telemetry data daily.
  • Programming experience using Scala, C++, or Java within a production environment.
  • Experience designing and managing data pipelines applying streaming or batch processing frameworks such as Kafka, Spark, or Flink.
  • Experience deploying and maintaining containerized workloads on Kubernetes clusters in a production environment.
  • Experience with Terraform, Ansible, Elasticsearch, or Grafana for automating infrastructure and monitoring workflows.

Skills

  • Scala
  • C++
  • Java
  • Kafka
  • Spark
  • Flink
  • Kubernetes
  • Terraform
  • Ansible
  • Elasticsearch
  • Grafana
  • SQL
  • Network telemetry
  • Networking protocols
  • Large fleet-management systems

Location

  • U.S.
  • Canada

Work Type

  • Full-time

Experience Level

  • Mid-level
  • Senior

Salary/Compensations

  • $167,700.00 - $245,200.00 (U.S. and/or Canada)
  • $167,700.00 - $282,000.00 (New York City Metro Area)
  • $149,100.00 - $250,900.00 (Non-Metro New York state & Washington state)

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k) plan with Cisco matching contribution
  • Paid parental leave
  • Short-term disability coverage
  • Long-term disability coverage
  • Basic life insurance
  • 10 paid holidays per full calendar year
  • 1 floating holiday for non-exempt employees
  • 1 paid day off for employee’s birthday
  • Paid year-end holiday shutdown
  • 4 paid days off for personal wellness
  • 16 days of paid vacation time per full calendar year (non-exempt)
  • Flexible vacation time off program (exempt)
  • 80 hours of sick time off provided on hire date and each January 1st thereafter
  • Up to 80 hours of unused sick time carried forward
  • Optional 10 paid days per full calendar year to volunteer
  • Annual bonuses (non-sales roles)
  • Performance-based incentive pay (sales roles)
  • Grants of Cisco restricted stock units

About the Company

  • Cisco is revolutionizing how data and infrastructure connect and protect organizations in the AI era.
  • Innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds.
  • Solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
  • Opportunities to grow and build are limitless.
  • Work as a team, collaborating with empathy to make really big things happen on a global scale.