Staff Backend Engineer (.Net C#)

Posted 3 Days Ago
Be an Early Applicant
2 Locations
Hybrid
Senior level
Artificial Intelligence • Cloud • Software • Big Data Analytics
Shape the Global Future of Enterprise AI Come build the future of enterprise AI with a global team that puts its people
The Role
Design and develop core platform runtime services, shared infrastructure, orchestration, scheduling, and execution layers. Improve scalability, reliability, observability, fault tolerance, and performance for metadata ingestion, lineage computation, and distributed processing. Collaborate with DevOps and Cloud teams on Kubernetes-based SaaS, enterprise, and on-premise deployments. Contribute to architecture, security, compliance, code reviews, and scalable backend engineering practices.
Summary Generated by Built In

Business Area:

Engineering

Seniority Level:

Mid-Senior level

Job Description: 

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry.  Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.

About Octopai

Octopai is a fast-growing Data Intelligence company (Acquired by Cloudera) that empowers enterprises to understand, trust, and optimize their data. Our platform provides automated data lineage, cataloging, and discovery to accelerate analytics, improve governance, and drive business impact.

As we expand from SaaS into large-scale enterprise and on-premise deployments, we are investing in strengthening our core platform infrastructure and runtime services — the foundational layer that powers Octopai’s ingestion, analysis, metadata processing, and operational execution. We are looking for a Staff Software Engineer to help build and evolve these critical platform components.
 

Role Overview

As a Staff Software Engineer (Core Platform, Runtime Services), you will focus on designing and developing the foundational runtime and shared services that enable Octopai’s platform to operate at scale.

This role is deeply technical, centered around building robust infrastructure primitives, runtime orchestration, platform-wide reliability, and performance improvements.

You will work on the systems that sit at the heart of Octopai’s execution engine — supporting metadata harvesting, lineage computation, distributed processing, and enterprise workloads across SaaS and customer-managed deployments.

As a Staff Software Engineer you will:

  • Design and implement core runtime services that power Octopai’s platform execution, analysis workflows, and operational stability.
  • Build shared infrastructure components used across the backend organization, including service frameworks, job execution layers, scheduling, and platform abstractions.
  • Improve scalability, reliability, and performance of platform services supporting metadata ingestion and lineage computation.
  • Develop platform capabilities for workload orchestration, lifecycle management, retries, fault handling, and resource optimization.
  • Partner with DevOps and Cloud teams to ensure runtime services are deployable and manageable in Kubernetes-based and enterprise environments.
  • Build foundations for observability, including logging, metrics, tracing, and troubleshooting tools for core services.
  • Ensure runtime infrastructure supports enterprise-grade requirements such as isolation, security, compliance, and predictable operations.
  • Contribute to architecture discussions and evolve Octopai’s core platform foundations through strong design and implementation practices.
  • Support engineering quality through clean architecture, code reviews, and scalable backend patterns.
     

We’re excited about you if you have:

  • 8+ years of backend or platform engineering experience, with demonstrated impact at Staff level.
  • Strong expertise in building scalable backend infrastructure, runtime systems, or distributed service platforms.
  • Excellent programming skills in C# (.NET), Java and modern backend engineering practices.
  • Experience designing shared services that support orchestration, execution pipelines, or platform-level abstractions.
  • Hands-on experience with SQL and NoSQL databases (SQL Server, PostgreSQL, ArangoDB, or similar).
  • Familiarity with messaging, caching, and coordination systems (Kafka, Redis, etc.).
  • Experience operating containerized services and supporting Kubernetes-based deployments.
  • Strong understanding of production reliability, fault tolerance, observability, and operational best practices.
  • Ability to work across teams and collaborate effectively with engineering, infrastructure, and product stakeholders.

You may also have: 

  • Experience with workflow engines, distributed job execution systems, or large-scale runtime platforms.
  • Background supporting hybrid SaaS + enterprise/on-prem deployments.
  • Familiarity with performance optimization for metadata-heavy or graph-based workloads.
  • Knowledge of search/index infrastructure (ElasticSearch/Solr) or ingestion pipelines.
  • Exposure to enterprise compliance, security constraints, and deployment complexity.

What you can expect from us:

  • Generous PTO Policy 

  • Support work life balance with Unplugged Days

  • Flexible WFH Policy 

  • Mental & Physical Wellness programs 

  • Phone and Internet Reimbursement program 

  • Access to Continued Career Development 

  • Comprehensive Benefits and Competitive Packages 

  • Paid Volunteer Time

  • Employee Resource Groups

EEO/VEVRAA

#LI-RB1

#LI-HYBRID

Skills Required

  • 8+ years of backend or platform engineering experience with demonstrated Staff-level impact
  • Strong expertise building scalable backend infrastructure, runtime systems, or distributed service platforms
  • Excellent programming skills in C# (.NET) and Java
  • Experience designing shared services for orchestration, execution pipelines, or platform-level abstractions
  • Hands-on experience with SQL and NoSQL databases such as SQL Server, PostgreSQL, or ArangoDB
  • Familiarity with messaging, caching, and coordination systems such as Kafka and Redis
  • Experience operating containerized services and supporting Kubernetes-based deployments
  • Strong understanding of production reliability, fault tolerance, observability, and operational best practices
  • Ability to collaborate across engineering, infrastructure, and product teams
  • Experience with workflow engines, distributed job execution systems, or large-scale runtime platforms
  • Experience supporting hybrid SaaS and enterprise/on-premise deployments
  • Familiarity with performance optimization for metadata-heavy or graph-based workloads
  • Knowledge of search and index infrastructure such as Elasticsearch or Solr, or ingestion pipelines
  • Exposure to enterprise compliance, security constraints, and deployment complexity

Cloudera Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cloudera and has not been reviewed or approved by Cloudera.

  • Fair & Transparent Compensation Pay practices are presented as equity-audited with a recognized Fair Pay Workplace certification and ongoing internal reviews. Compensation is often characterized as competitive for similar-sized peers, with visible market-aligned ranges for key roles.
  • Healthcare Strength Benefit descriptions emphasize comprehensive medical, dental, and vision coverage, alongside life and disability insurance, an EAP, wellness programming, and U.S. gym reimbursement. Health coverage is described as strong in practice.
  • Leave & Time Off Breadth Policies include generous PTO and holidays plus recurring companywide Unplugged Days that create extended weekends. Parental and medical leave are also highlighted as part of the core package.

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The Company
HQ: Santa Clara, CA
3,092 Employees
Year Founded: 2008

What We Do

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.

Why Work With Us

Impact at Scale: The infrastructure we build solves massive problems for top global banks, telecommunications giants, and healthcare providers. Cutting-Edge Tech: Work directly at the intersection of Open Source, Machine Learning, and Generative AI. Unmatched Flexibility: Enjoy a remote-friendly, hybrid culture that respects your time—including

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