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Data Platform SRE

Ciena

Data Platform SRE

Ciena

Gurugram

·

On-site

·

Full-time

·

5d ago

Required Skills

Python

SQL

Git

Azure

As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We’re a technology company that leads with our humanity—driving our business priorities alongside meaningful social, community, and societal impact.

As a Data Platform SRE Analyst at Ciena, you will help strengthen the reliability, automation, and operational excellence of the data platforms that power critical analytics and business insights. This role offers the opportunity to grow from hands‑on platform operations into deeper Site Reliability Engineering (SRE) and Data Ops practices, partnering closely with senior engineers and cross‑functional teams.

How you will make an impact:

  • Support and enhance cloud and SaaS‑based data platforms including Snowflake, DBT, Fivetran, Informatica Cloud, Dataiku, business intelligence tools, and orchestration or governance solutions.
  • Maintain configuration updates, access controls (role‑based access control), and environment readiness activities aligned with audit and policy expectations.
  • Monitor platform health, pipeline status, data quality indicators, and failure alerts while collaborating with senior engineers to resolve operational issues.
  • Improve and maintain runbooks, standard operating procedures, and operational workflows to ensure consistent, high‑quality internal support.
  • Build and refine scripting with Python, SQL, or YAML to automate recurring activities and support operational efficiency.
  • Contribute to incident response, disaster‑recovery exercises, and resiliency initiatives that fortify platform stability.
  • Track platform usage, performance, and cost metrics to support optimization efforts and reporting.

The must haves:

  • Bachelor’s degree in IT, Computer Science, MIS, or equivalent experience.
  • Minimum 2 years of relevant IT experience.
  • Foundational knowledge of Amazon Web Services and familiarity with Azure or Google Cloud.
  • Working knowledge of SQL and relational data concepts.
  • Understanding of incident triage, monitoring, and change‑management processes.
  • Exposure to Python or shell scripting with interest in expanding automation skills.
  • Strong documentation, communication, and collaboration abilities.

Nice to haves:

  • Experience with Snowflake, DBT, Informatica Cloud, Fivetran, Dataiku, or business intelligence tools such as Power BI or Looker.
  • Exposure to DevOps practices, continuous integration/continuous delivery, or version control using Git.
  • Understanding of data pipelines, data‑quality management, and batch or streaming data processes.
  • Familiarity with observability frameworks, monitoring tools, or log‑analytics platforms.

Not ready to apply? Join our Talent Community to get relevant job alerts straight to your inbox.

At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard. Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination.

Ciena is an Equal Opportunity Employer, including disability and protected veteran status.

If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require.

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About Ciena

Ciena

Ciena

Series C

Ciena collaborates with customers to unlock the strategic potential of their networks and change the way they perform and compete.

5,001-10,000

Employees

Linthicum Heights

Headquarters

Reviews

3.9

10 reviews

Work Life Balance

4.2

Compensation

2.8

Culture

4.1

Career

3.8

Management

2.5

68%

Recommend to a Friend

Pros

Good work-life balance

Great learning opportunities and mentorship

Smart colleagues and team environment

Cons

Below average/low salary compared to industry

Mass layoffs and job insecurity

Stressful work environment

Salary Ranges

73 data points

Mid/L4

Senior/L5

Mid/L4 · Lead, Data Engineering

1 reports

$206,590

total / year

Base

$158,915

Stock

-

Bonus

-

$206,590

$206,590

Interview Experience

1 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience