Confluent

Confluent

Staff Software Engineer

Mountain View, California · Staff+

Sponsorship not specifiedDetected 86 days ago
PythonJavaGoReactDistributed SystemsBackend DevelopmentCode ReviewKubernetesMachine LearningLLMsAgentic AIResearchCommunication

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odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 31 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 93%

Of 27 labor certifications old enough to have been used, 2 expired without the employer filing the next step. Median time from filing to decision: 490 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

7 transfer filings in the last year, covering 7 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • The interesting problems here rarely live in one place:

Responsibilities

  • Design and build the backend services (primarily Go, Java, and Python) that run AI and model inference on real-time data.
  • Own features end to end - drafting the design, aligning stakeholders inside and outside the team, and driving the decision to a conclusion.
  • Make the engineers around you better through code review, design feedback, and being someone the team trusts with ambiguous, cross-cutting work.
  • Participate in on-call for the services your team owns, and help keep the team's processes and rituals healthy.
  • 10+ years of significant experience designing, building, and operating distributed systems or cloud-native backend infrastructure in production
  • A track record of leading cross-team technical work: turning ambiguous requirements into designs others can rally behind.
  • You don't need a background in ML research or model training - this role is about building and operating the platform that serves AI reliably at scale, not inventing the models.
  • READY TO BUILD WHAT'S NEXT?

Requirements

  • Proficiency in at least one of Go, Java, or Python, and the willingness to work across all three.

Nice to have

  • .Strong working knowledge of Kubernetes and distributed-systems patterns (control loops, API servers, high-scale control planes), plus the fundamentals - containerization, networking, resource isolation.

Benefits

  • Own the quality of what you ship - code, test coverage, documentation, operability, and rollout safety.
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This listing is sourced directly from Confluent's careers page and normalized into a canonical job model.