Staff+ Software Engineer - Cloud Availability Platform Engineering Job at Crusoe (San Francisco)

Senior Staff Engineer Software (Cloud Platform, Production & Reliability – Machine Identity Security)

The Production Engineering team is responsible for building, scaling, and operat...

Location

United States , Santa Clara

Salary:

126000.00 - 203500.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

5+ years of experience in DevOps, Platform Engineering, or Site Reliability Engineering (SRE)
Strong experience designing and operating cloud infrastructure on AWS, Azure, or GCP
Deep expertise managing and scaling Kubernetes environments (EKS, AKS, or GKE)
Strong experience with Infrastructure as Code tools (Terraform, Ansible, or Pulumi)
Proven experience designing and maintaining complex CI/CD systems (Jenkins, GitLab CI, ArgoCD, GitHub Actions)
Strong programming/scripting skills (Python, Go, or similar) for automation and tooling
Experience operating in high-scale, 24/7 production environments with ownership of incident response and reliability
Solid understanding of Linux systems and networking fundamentals (DNS, TCP/IP, load balancing, VPC, mTLS)
Strong problem-solving skills and ability to work across teams

Job Responsibility

Design, build, and evolve highly available cloud infrastructure platforms with a focus on scalability, resilience, and reliability
Lead improvements across production systems, including performance, availability, and incident response
Drive and standardize Infrastructure as Code (IaC) practices to improve consistency and reduce operational overhead
Design and optimize CI/CD pipelines to support fast, secure, and reliable software delivery at scale
Partner with development teams to improve system reliability, observability, and cloud-native design patterns
Define and implement monitoring, alerting, and observability strategies across distributed systems
Lead incident response efforts, including root cause analysis and long-term remediation strategies
Identify and eliminate operational toil through automation and system improvements
Mentor engineers and contribute to raising the bar for production engineering practices

What we offer

restricted stock units
bonus

Fulltime

Staff Software Engineer - ETL Platform

Fivetran is building data pipelines to power the modern data stack for thousands...

Location

Canada , Toronto

Salary:

167548.00 - 209435.00 CAD / Year

Fivetran

Expiration Date

Until further notice

Requirements

Expertise in at least one interpreted language such as Python, Ruby on Rails, etc.
Expertise in at least one compiled language such as C++, Kotlin, Scala, Go, Java, etc.
Solid understanding of relational databases (experience with data warehousing solutions (e.g., Snowflake) is a bonus)
Proven experience in system integration, including API consumption and development (experience with infrastructure management is a bonus)
Familiarity with leading cloud providers, such as GCP, AWS, or Azure
Experience being on-call
Ownership - Experience being on-call, driving system quality higher, managing costs and constantly recognizing areas to simplify while always improving composability
Autonomous and Self-Motivated - thrives in a high-trust environment, driving projects forward and making independent decisions with confidence
Adaptable and Resilient - comfortably navigates ambiguity and views challenges as opportunities for growth
Driven and Persistent - maintains a strong focus on goals, confidently overcoming obstacles and eagerly seeking innovative solutions to exceed expectations

Job Responsibility

Make valuable contributions to the deepest recesses of our tech stack – including writing typesafe Ruby and Rails with Sorbet, building performant Kotlin microservices, managing highly available Spark clusters, working on deterministic Temporal workflows, and Terraforming all the things in AWS
Operate in hostile territory on all sides–building and managing a data diffing ETL engine that operates across every type of data warehouse and SQL dialect imaginable on data you don’t own or control, and send it to countless permutations of destinations that could respond any number of unpredictable ways
Be a reliable and steadfast operator, participating in the team on-call rotation to help diagnose, triage and fix performance bottlenecks and gnarly edge-cases our customers discover
Work closely with our product team to help design and develop new features to improve data pipeline observability and debuggability

What we offer

100% employer-paid medical insurance*
Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents

Fulltime

Senior Staff Software Engineer- GIA Platform

GEICO is seeking an experienced software engineer with a passion for building hi...

Location

United States , Palo Alto

Salary:

130000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Fluency in at least one modern language (Go is preferred, .Net is a plus)
Proven track record of designing, implementing, and maintaining highly scalable, available and reliable system in production
Understanding of security best practices and data encryption technology
Understanding of SQL and NoSQL databases, including stateful services management and storage
Understanding of networking, caches, key/value stores, load balancing, global load balancing, queues, DNS and CDN
Deep knowledge of DevOps practices, methodologies, and principles, along with a solid understanding of on prem and public cloud-based network, compute, and storage technologies
In-depth knowledge of hybrid cloud architecture, IaaS and PaaS technologies, container orchestration platforms (e.g., Kubernetes), cloud efficiency and observability etc.
Strong background in incident management
Ability to create incident response playbooks, runbooks, incident triaging strategies, and post-incident analysis to drive continuous improvement in system reliability and availability
Experience with open-source management and monitoring tools

Job Responsibility

Develop and drive the overall technical roadmap for the GIA Platform organization, aligning it with the organization's business goals and objectives
Work closely with executive leadership, tech teams, and other cross-discipline stakeholders to build optimal strategy for delivering platform services
Leverage technical and domain expertise to influence partners and leadership to create a force multiplier in achieving milestones in the team’s technical roadmap
Provide thought leadership in GIA Platform, staying ahead of industry trends and emerging technologies to create effective strategy that minimizes business disruption while balancing the modernization of legacy platform components
Lead the design and architecture of resilient and scalable platform services, considering both on-premises and cloud-based solutions
Champion software development best practices and safe deployment processes to enable continuous, incremental delivery of business values
Contribute directly to and leading by example in day-to-day engineering activities (writing feature code and automated tests, raising PRs and reviewing peers’ PRs, developing and managing CI/CD pipelines, production support, among others)
Develop and maintain comprehensive incident response plans to address various disaster scenarios across multiple partner integration points
Spearhead collaboration with various stakeholders in production readiness assessment and operational excellence
Hands-on software engineering and SDLC best practices (Technical Review Documents, Architecture, Software Development, Code Reviews, Testing, Production Readiness Reviews, among others)

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Sr Staff Software Engineer - Compute Platform

We are seeking a highly experienced Senior Staff Engineer to lead the technical ...

Location

United States , Sunnyvale

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

10+ years of software engineering experience, including expertise in distributed systems or infrastructure engineering
Deep expertise in Kubernetes internals, container runtimes, and cloud-native compute platforms
Strong background in containerization, resource scheduling, and cluster management at scale
Hands-on experience with performance tuning, reliability engineering, and cost optimization in compute environments
Excellent leadership, communication, and organizational skills, with a track record of building and mentoring high-performing teams
Strong coding proficiency in one or more languages such as Go, Java, or Python
Demonstrated ability to drive cross-functional technical initiatives and deliver impactful results

Job Responsibility

Own the technical vision, architecture, and strategy for the global compute platform org
Define and execute the roadmap for our compute platform, focusing on scalability, performance, and efficiency
Drive architectural decisions and set technical direction for compute scheduling, resource allocation, and container orchestration systems
Ensure high availability and reliability of the compute platform through best-in-class observability, automation, and incident response practices
Drive adoption of best practices in scalability, availability, and security for multi-tenant compute environments
Evaluate emerging technologies in cloud-native ecosystems and guide their integration into the platform
Partner with product and infrastructure teams to deliver high-impact, cross-organizational initiatives
Mentor and coach engineers, helping grow their technical depth and leadership skills
Influence company-wide engineering standards and practices

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Sr. Staff Software Engineer, Capacity Engineering

The Capacity & Efficiency Engineering (CEE) organization is seeking an experienc...

Location

United States , San Francisco, California; Sunnyvale, California

Salary:

202000.00 - 224000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
15+ years of experience in software engineering, with a strong focus on capacity engineering, data engineering, and full-stack development
Deep data engineering experience
Proven experience in designing and implementing large-scale, distributed systems
Expertise in cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes)
Strong proficiency in at least one modern programming language (e.g., Python, Java, Go, Node.js)
In-depth knowledge of database systems (SQL and NoSQL) and data warehousing concepts
Experience with front-end frameworks (e.g., React, Angular, Vue.js) and back-end frameworks
Excellent problem-solving, analytical, and communication skills
Demonstrated ability to lead and mentor engineering teams

Job Responsibility

Serve as the technical authority for strategic capacity planning and resource allocation
Architect, design, and lead the development of essential, high-scale Engineering infrastructure
Provide technical leadership in designing and building highly available, scalable, and resilient products and core platforms
Drive collaboration with peer Sr Staff engineers and engineering teams to champion best practices for system health, robustness, and refactoring
Mentor senior engineers, setting the bar for code quality, resilience, and longevity across systems

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible for various benefits

Fulltime

Staff Software Engineer, Backend (AI Platform)

Cresta is on a mission to turn every customer conversation into a competitive ad...

Location

United States

Salary:

Not provided

Cresta

Expiration Date

Until further notice

Requirements

5+ years writing production software
2+ years focused on ML platform or infra
Expert Python (async, typing, packaging, performance)
Working Golang knowledge for systems components
Proven experience with one or more serving frameworks (e.g., vLLM, Triton, TorchServe)
Kubernetes and cloud-native ops
Solid grasp of distributed systems, networking, and container security
Culture of rigorous testing, code review, and continuous delivery

Job Responsibility

Own model serving: Design, build, and maintain low-latency, highly-available serving stacks for in-house ML model serving and integrating with LLM serving partners
Automate training pipelines: Orchestrate data prep, training, evaluation, and registry workflows on Kubernetes with solid MLOps practices
Optimize at scale: Profile and tune throughput, memory, and cost
introduce caching, sharding, batching, and GPU/CPU autoscaling where it pays off
Build platform primitives: Create reusable SDKs, templates, and CLI tools that let research and product teams ship models independently and safely
Raise the bar: Instrument deep observability (tracing, metrics, alerts), drive blameless post-mortems, and mentor engineers on production ML best practices

What we offer

Comprehensive medical, dental, and vision coverage with plans to fit you and your family
Flexible PTO to take the time you need, when you need it
Paid parental leave for all new parents welcoming a new child
Retirement savings plan to help you plan for the future
Remote work setup budget to help you create a productive home office
Monthly wellness and communication stipend to keep you connected and balanced
In-office meal program and commuter benefits provided for onsite employees

Staff Software Engineer, Managed AI - AI Platform

Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'...

Location

United States , San Francisco, CA; Sunnyvale, CA

Salary:

208725.00 - 253000.00 USD / Year

Crusoe

Expiration Date

Until further notice

Requirements

Advanced degree in Computer Science/Engineering
8-10+ years of industry experience with demonstrated history of consistent success leading a varied portfolio of initiatives across your function
Experience with distributed systems, cloud services (compute, storage, networking, database), and delivering early-stage projects quickly
Experience with Generative AI (LLMs, Multimodal) and familiar with AI infrastructure (training, inference, ETL pipelines)
Proficient with container runtimes (e.g., Kubernetes), microservices, REST APIs, gRPC, and the full software development lifecycle including CI/CD

Job Responsibility

Lead the design and implementation of core AI services, including: Resilient fault-tolerant queues for efficient task distribution
Model catalogs for managing and versioning AI models
Scheduling mechanisms optimized for cost and performance
Architect and scale infrastructure to handle millions of API requests per second
Implement robust monitoring and alerting to ensure system health and 24/7 availability
Collaborate closely with product management, business strategy, and other engineering teams to define the AI platform roadmap
Influence the long-term vision and architectural decisions of the platform
Contribute to open-source AI frameworks and actively participate in the AI community
Prototype and rapidly iterate on emerging technologies and new features

What we offer

Restricted Stock Units in a fast growing, well-funded technology company
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
Employer contributions to HSA accounts
Paid Parental Leave
Paid life insurance, short-term and long-term disability
Teladoc
401(k) with a 100% match up to 4% of salary
Generous paid time off and holiday schedule
Cell phone reimbursement
Tuition reimbursement

Fulltime

Staff Software Engineer : Storage, Search, & Data Platforms

The Storage, Search, and Data (SSD) group is the custodian of Uber's digital int...

Location

United States , Seattle; San Francisco; Sunnyvale

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

12+ years of software engineering experience, with a proven history of designing and operating massive-scale distributed data systems
Elite engineering skills in Go, Java, C++, or Rust. You are comfortable deep-diving into database internals, kernel-level optimizations, and complex distributed consensus protocols
Proven experience leading technical strategy across multiple teams or organizations, turning high-level business goals into concrete technical realities
Extensive experience managing Tier-0, mission-critical systems with 99.99% availability and global blast-radius constraints

Job Responsibility

Define and execute the multi-year roadmap to transition Uber from Data Storage to a Cloud-Native Data Provider, solving for cross-region latency, global metadata consistency, and exabyte-scale cost efficiency
Partner with Uber's AI/ML leadership to architect the Data-to-GPU pipeline. You will design the one-stop storage APIs that allow researchers to leverage high-performance data access across multi-cloud regions and vendors seamlessly
Drive the next generation of our core engines: Docstore (NoSQL), Vitess (Sharded MySQL), Apache Pinot (Real-time Analytics), and OpenSearch (Discovery)
You will represent Uber in the global community as a leader in key open source technologies including Apache, Hudi, Iceberg and many others

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible to participate in a 401(k) plan
Various benefits

Fulltime

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Staff+ Software Engineer - Cloud Availability Platform Engineering

Job Description

Job Responsibility

Requirements

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What we offer

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