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HomeCompaniesConfluentStaff Software Engineer I - Cloud Compute Platform

Staff Software Engineer I - Cloud Compute Platform

Confluent · Remote, United States · Remote · Deleted · Ashby

Job facts

FieldValue
CompanyConfluent
TitleStaff Software Engineer I - Cloud Compute Platform
Normalized title-
Department / teamEngineering / Engineering
LocationUnited States
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusdeleted
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-06-03 / 2026-06-01

Related slices

PageWhat it containsOpen
Company jobsActive postings from Confluent.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyConfluent
Source7068c383-7392-45af-b182-85301eed29ad
ATS providerAshby

Description

We’re not just building better tech. We’re rewriting how data moves and what the world can do with it. With Confluent, data doesn’t sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. About the Role: As a Software Engineer on the Compute Platform team, you will be a key technical leader in building and evolving our next-generation, multi-tenant, cloud-native compute substrate that powers all of Confluent Cloud's diverse workloads.Our platform orchestrates workloads across thousands of Kubernetes clusters globally across all cloud service providers, providing a unified abstraction layer for scheduling, lifecycle management, and operational excellence. You'll work on critical systems including: Multi-Cluster Workload Orchestration: Build the control plane that manages workload placement, lifecycle, and state across multiple Kubernetes clusters per region Platform APIs & Abstractions: Design and evolve APIs that provide clean abstractions for polyglot workload management across diverse compute needs Cloud Platform Integration: Build and optimize deep integrations with the broader Confluent Cloud platform for seamless end-to-end operations Multi-Tenancy & Security: Implement and enhance workload isolation, network policies, and secure execution environments Observability & Operations: Drive operational excellence through monitoring integration, automated health checks, and self-healing capabilities As a senior technical leader, you think strategically and help drive end-to-end technical delivery from customer experience to scaling internal operations. You leverage your expertise in cloud-native distributed systems to take our platform to the next level while ensuring high availability, reliability, and security for our largest enterprise customers. What You Will Do: Drive the overall technical charter for the Compute Platform, including multi-cluster orchestration, workload placement, and security architecture Design and implement platform APIs and Kubernetes operators using Go to support evolving workload requirements Work closely with product management and engineering leadership to build and drive the roadmap for Confluent's Compute Platform, enabling new business opportunities across Confluent. Deliver high-impact initiatives in areas such as workload scheduling, disruption management, network isolation, rolling update strategies, and cross-cluster resource management Lead technical design reviews and drive architectural decisions across organizational boundaries Mentor and grow other engineers on the team through code reviews, pairing, and technical guidance Own operational aspects including availability, reliability, performance monitoring, emergency response, and disaster recovery for our global compute infrastructure What You Will Bring: 8+ years of experience delivering scalable software solutions Proven track record of leading the delivery of large-scale, highly available, low-latency systems Deep expertise in Kubernetes including controller development, operator patterns, and multi-cluster architectures Strong proficiency in Go with experience building production-grade distributed systems Experience with multi-tenant platform architectures and security isolation patterns Familiarity with gRPC, Protobuf, and API design for internal platform services Experience with observability tools and operational excellence practices Experience with multi-cloud environments (AWS, GCP, Azure) and cloud-provider integrations Track record of providing technical leadership and mentorship Track record of working collaboratively across teams including product management, SRE, and other engineering teams A smart, humble, and empathetic attitude with a strong sense of teamwork Drive and excitement about the challenges of a fast-paced, innovative software environment Ready to build what's next? Let’s get in motion. Come As You Are Belonging isn’t a perk here. It’s the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what’s possible. We’re proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law. Privacy Statement Confluent is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. By proceeding with this application, you understand that Confluent will share your personal information with other IBM affiliates involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here .

Full job record

Job ID23e51b9ca2d9e245741e6f75e43f794c1d234a3d
Org ID62d6be85-32f7-485e-b91d-e1a74dad6d18
Source ID7068c383-7392-45af-b182-85301eed29ad
Board ID7068c383-7392-45af-b182-85301eed29ad
Providerashby
Provider Job Key993cd972-d032-4892-bf4f-804f056604a4
TitleStaff Software Engineer I - Cloud Compute Platform
Normalized Title
Statusdeleted
Activeno
Location TextRemote, United States
DepartmentEngineering
TeamEngineering
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryUnited States
Region
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/confluent/993cd972-d032-4892-bf4f-804f056604a4
Apply URLhttps://jobs.ashbyhq.com/confluent/993cd972-d032-4892-bf4f-804f056604a4/application
First Seen At2026-05-29 06:09:31Z
Last Seen At2026-06-01 12:54:26Z
Last Checked At2026-06-03 13:24:21Z
Last Changed At2026-06-03 13:24:21Z
Inactive At2026-06-03 13:24:21Z
Source Posted At
Source Updated At
Raw Payload Uris3://bluework-jobs-prod-raw-590183727216/raw/provider=ashby/board=confluent/date=2026-06-01/2026-06-01T12-53-55-820Z-cea4960e3014061b5736a4bd13d921e34e6e89f5d0456cac84f36e111a01e6ec.json
Event Fields
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  "last_changed_at": "2026-06-03T13:24:21.986Z",
  "active_status": "deleted"
}
Parsed Structured
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}
Extensions
{}
Native Structured
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  "jobUrl": "https://jobs.ashbyhq.com/confluent/993cd972-d032-4892-bf4f-804f056604a4",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/confluent/993cd972-d032-4892-bf4f-804f056604a4/application",
  "isListed": true,
  "isRemote": true,
  "location": "Remote, United States",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Engineering",
  "publishedAt": null,
  "workplaceType": "Remote",
  "employmentType": "FullTime",
  "secondaryLocations": []
}
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