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senior network engineer

craigslist

<div>
 
 craigslist is currently seeking a network engineer to assist in maintaining a stable platform that will continue to scale as traffic increases and services are expanded. You will assist in network design and evolution, manage and employ open source and commercial firewalls and load balancers. This role gives the opportunity to solve interesting tech issues at billion-page-view-per-day scale.
 
 
 
 
 
 Successful candidates will have impeccable judgment and discretion, excellent troubleshooting skills, deep understanding of network and information security issues, and solid experience in as many of the following areas as possible:
 
 <ul>
 <li>
 very high performance / traffic web architectures
 </li>
 <li>
 TCP / IP / BGP / OSPF / IS-IS
 </li>
 <li>
 Juniper JUNOS / Arista EOS / A10 ACOS
 </li>
 <li>
 BGP traffic engineering / transit provider selection
 </li>
 <li>
 firewall policy design and implementation
 </li>
 <li>
 open source and commercial load balancers
 </li>
 <li>
 global server load balancing
 </li>
 <li>
 DDoS mitigation
 </li>
 <li>
 IPSEC VPNs / client access VPN concentrator management
 </li>
 <li>
 PCIDSS compliance
 </li>
 <li>
 network planning, documentation, and communication
 </li>
 <li>
 IPv6 / DNS / DNSSEC / multicast
 </li>
 <li>
 scripting for network related needs such as device configuration, monitoring, regression testing, and reporting
 </li>
 <li>
 administration of rpm-based linux distributions
 </li>
 </ul>
 
 
 
 
 The ideal candidate:
 
 <ul>
 <li>
 self-motivated and highly productive
 </li>
 <li>
 a data-driven problem solver
 </li>
 <li>
 passionate about making things better for end users
 </li>
 <li>
 loves learning and teaching others
 </li>
 <li>
 passion for automation
 </li>
 <li>
 makes teammates better
 </li>
 <li>
 resourceful and adaptable
 </li>
 <li>
 communicates effectively
 </li>
 </ul>
 
 
 
 
 craigslist offers:
 
 <ul>
 <li>
 an unusually philanthropic company mission and philosophy
 </li>
 <li>
 a small team (~40) of fun-loving, smart, interesting, idealistic people
 </li>
 <li>
 non-garden-variety tech challenges at massive scale
 </li>
 <li>
 a tech nirvana, free from VCs, sales, marketing, biz dev, or pivoting
 </li>
 <li>
 big company stability and benefits -- w/o the dysfunction and despair
 </li>
 </ul>
 
 
 
 
 craigslist benefits include:
 
 <ul>
 <li>
 100% paid (including eligible dependents) health and dental insurance
 </li>
 <li>
 craigslist-provided health reimbursement account ($4K-$10K)
 </li>
 <li>
 3-to-1 match on employee charitable donations (up to 10% of salary)
 </li>
 <li>
 401(k) matching program (up to 6% of salary), with immediate vesting
 </li>
 <li>
 4 weeks paid time off; 10 paid holidays
 </li>
 <li>
 wellness stipend (up to $150/month)
 </li>
 </ul>
 
 
 
 
 Please note: Candidates must be authorized to work in the United States without sponsorship.
 
 
 
 
 
 craigslist is an equal opportunity employer. craigslist policy prohibits discrimination based on age, genetic information, marital/domestic partner status, medical condition (including cancer, genetic characteristics, or AIDS/HIV status), mental or physical disability, national origin and ancestry (including language use and holding a driver's license granted under Vehicle Code section 12801.9), race and color, creed, religion, sex (including pregnancy, perceived pregnancy, childbirth, breastfeeding, and related medical conditions), gender, gender identity/expression, sexual orientation, weight, height, military/veteran status, or any other characteristic protected by federal, state, or local laws.
 
</div>

Senior Network Engineer

PARASAIL

<div><div>Parasail is redefining AI infrastructure by enabling seamless deployment across a distributed network of GPUs, optimizing for cost, performance, and flexibility. Our mission is to empower AI developers with a fast, cost-efficient, and scalable cloud experience&mdash;free from vendor lock-in and designed for the next generation of AI workloads.</div><div><h3 class="jobSectionHeader">
Job Description</h3>

The Senior Software Engineer, Distributed Systems role at Parasail is crucial for ensuring the seamless deployment, scalability, and security of our AI platform. This position is tailored for individuals passionate about creating robust infrastructures that support complex AI workloads, with a strong emphasis on cloud compatibility, security, ease of use, and cost savings. You will work closely with AI-focused performance and solutions engineering teams, facilitating the orchestration of resources needed for high-performing AI applications, all while ensuring our infrastructure adheres to the highest standards of security and data privacy.
<h3 class="jobSectionHeader">
Technical Abilities</h3>
<ul>
<li>Microservice Architecture: Deep understanding of distributed application design patterns, service decomposition, and inter-service communication. Experience in building scalable and maintainable microservice-based systems.
</li>
<li>Backend Development: Strong foundation in storage solutions and networking protocols. Ability to design and implement robust backend systems with optimized data management and network communication.
</li>
<li>Programming Languages &amp; Frameworks: Extensive experience with Java, Spring Boot, and Golang. Proficiency in developing enterprise-grade applications using modern development frameworks and tools.
</li>
<li>Distributed Systems: Deep knowledge of distributed computing principles, including consistency models, fault tolerance, and scalability patterns. Experience in designing and maintaining large-scale distributed applications.
</li>
<li>Cloud-Native Technologies: Proficiency in cloud platforms and Infrastructure as Code (IaC). Experience with containerization, orchestration, and automated infrastructure deployment using modern DevOps practices.
</li>
<li>Large Language Models: Understanding of LLM technologies and their applications. Experience in integrating and working with AI language models in production environments, including model deployment and optimization.
</li>
</ul><h3 class="jobSectionHeader">Qualifications</h3>
<ul>
<li>5+ years of experience in backend or infrastructure, with exposure in Kubernetes and distributed computing environments.
</li>
<li>Demonstrated ability to build and secure scalable, high-performance backend.
</li>
<li>Hands-on to build brand new system and make end to end work
</li>
<li>Excellent problem-solving skills, with a track record of designing solutions that address the complex needs of AI workloads.
</li>
<li>While AI experience is not required, a demonstrated capacity to learn new technologies and stay up-to-date on the cutting edge is essential.
</li>
</ul><h3 class="jobSectionHeader">What You Bring to the Table</h3>

This role is pivotal in building a new breed of cloud architecture that enables enterprises to build powerful AI in their preferred environment with the same performance and economics as uncontrolled external services. This role ensures our AI solutions are not just innovative but also secure and sustainable. If you're passionate about learning the cutting edge of AI, building the future of infrastructure, and making a tangible impact to the early days of a company, we're excited to welcome you aboard.</div></div>

Senior Software Engineer, Distributed Systems

Apple

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other&rsquo;s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It&rsquo;s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you&rsquo;ll do more than join something - you&rsquo;ll add something. 
 
As a part of the Apple Cloud Network team, you will strategize, build and operationalize innovative release and testing products and solutions that will craft the future of our hyper-scale network infrastructure. We are looking for candidates who have a strong passion in building sophisticated large scale systems for high performance and reliability with broad experience in distributed systems architecture and networking! 
 
People at Apple don&rsquo;t just build products - they craft the kind of experience that has revolutionized entire industries. The diverse collection of our people and their ideas encourage innovation in everything we do. Imagine what you could do here! Join Apple, and help us leave the world better than we found it. 
 
The Apple Cloud Networking team builds software-defined network infrastructure as a part of Apple Cloud. Our infrastructure is a critical foundation in delivering Apple&rsquo;s services (such as iCloud, iTunes, Siri, Maps) to billions of customers. We are a fast paced organization where drive and collaboration are the keys to success. Teams across Apple rely critically on us for infrastructure that help them build services that scale globally, are highly available, and &ldquo;just work&rdquo;. We listen to different perspectives, help surface innovative ideas, and drive decisions that move us forward. 
 
Description 
 
As a senior release engineer with deep expertise in cloud networking, software reliability, and performance engineering, you will lead and innovate our release management processes. This role requires strategic oversight of sophisticated, large-scale release pipelines that deliver highly available, resilient, and performant cloud network services. You will establish standard methodologies, implement resiliency measures like chaos testing, drive performance and capacity planning, lead incident response, postmortems, and maintain detailed release documentation. Partner closely with multi-functional teams including cloud architects, SREs, and network engineering to ensure quality in deployment automation and operational reliability. 
 
Additionally, you will present and defend engineering proposals that can significantly influence team and organizational success. Effective collaboration and communication with other teams are crucial to support their use of our platform. 
 
Preferred Qualifications 
 
BS or MS in Computer Science or equivalent industry experience 
 
Minimum Qualifications 
 
Experience in designing and operationalizing large scale release (CI/CD, Chaos &amp; Scale) testing platforms 
 
Solid understanding of cloud-native networking components: VPCs, peering, transit gateways, service meshes, NATs, firewalls, etc 
 
Good knowledge of API design and interface technologies (JSON, ProtoBuf, REST, RPC, XML, etc) 
 
In depth knowledge of K8s, OpenStack, system virtualization, build systems and infrastructure as code 
 
Outstanding communication skills with the ability to articulate concepts, designs and decisions. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Cloud Network Release Engineer

<div><div>Parasail is redefining AI infrastructure by enabling seamless deployment across a distributed network of GPUs, optimizing for cost, performance, and flexibility. Our mission is to empower AI developers with a fast, cost-efficient, and scalable cloud experience&mdash;free from vendor lock-in and designed for the next generation of AI workloads.</div><div>
Job Description:

The Senior Software Engineer, LLM Performance plays a crucial role in delivering a competitive platform by focusing on efficiently scheduling, executing, and managing AI workloads on distributed compute systems. This role is deeply technical, spanning from low-level GPU kernels to distributed AI orchestration and Kubernetes (K8s) deployments. It is about more than optimization; it&rsquo;s about pioneering efficient infrastructure that supports AI&rsquo;s transformative role in reshaping productivity, revolutionizing industries, and addressing some of the world&rsquo;s most challenging problems. You&rsquo;ll ensure that generative AI &mdash; including large language models (LLMs), multi-modal models, and diffusion models &mdash; operates efficiently at enterprise scale while driving continuous improvements in cost, performance, and sustainability.

Responsibilities:
<ul>
<li>Add support for new LLMs, working across the stack from low-level GPU kernels to Kubernetes-based deployments.
</li>
<li>Contribute to cutting-edge open-source LLM engines such as vLLM or SGLang to extend their capabilities and performance (e.g. use Python technologies to improve API servers or request schedulers).
</li>
<li>Operate closer to the hardware, focusing on building and integrating solutions to boost performance and hardware utilization. For example, improve attention backends like FlashAttention or FlashInfer by contributing to their development and optimization, or by integrating their solutions into vLLM.
</li>
<li>Improve LLM performance using advanced algorithmic solutions such as speculative decoding, quantization, or other state-of-the-art techniques. Understand the impact of such techniques in model quality.
</li>
</ul>Qualifications:
<ul>
<li>Expertise in GPU computing, including low-level platforms such as CUDA, ROCm, XLA, PyTorch, Jax, etc.
</li>
<li>Background in performance analysis and optimization of AI/HPC workloads (e.g. profiling or theoretical analysis of Flops and bandwidth).
</li>
<li>Experience in writing GPU kernels using technologies like CUDA, CUTLASS, Triton.
</li>
<li>Strength in Python and C++.
</li>
<li>Demonstrated contributions to open-source projects. Contributions to inference engines such as vLLM is a strong plus.
</li>
<li>A production-oriented mindset emphasizing robust, scalable code suitable for enterprise-grade applications.
</li>
<li>A relentless curiosity about cutting-edge AI technologies combined with a passion for solving complex problems.
</li>
</ul>What You Bring to the Table: We are looking for people who are eager to learn and master the lower-level compute concepts that are critical for the AI revolution. With us, your skills will not only contribute to coding but will also have a significant impact on the scalability and efficiency of AI applications at large. If you're geared up for the challenge of optimizing AI performance and eager to push our technological prowess to new heights, we're excited to welcome you aboard.</div></div>

Senior Software Engineer, LLM Performance

<div><div>Parasail is redefining AI infrastructure by enabling seamless deployment across a distributed network of GPUs, optimizing for cost, performance, and flexibility. Our mission is to empower AI developers with a fast, cost-efficient, and scalable cloud experience&mdash;free from vendor lock-in and designed for the next generation of AI workloads.</div><div><h1 class="jobSectionHeader">
The Role</h1>

We&rsquo;re looking for a Senior Fullstack Engineer who wants to own large surface areas of product from database to pixel. You&rsquo;ll build the interfaces, APIs, and systems that thousands of AI engineers interact with daily &mdash; from our real-time inference dashboard and model deployment console to the orchestration APIs that route workloads across a global GPU network.

This isn&rsquo;t a role where you&rsquo;ll be handed pixel-perfect mocks and asked to implement them. You&rsquo;ll shape what we build and how it works, collaborating directly with founders and infrastructure engineers to turn complex distributed systems into products that feel simple and fast.
<h1 class="jobSectionHeader">
What You&rsquo;ll Build</h1>
<ul><li>Inference Platform UI: Design and build the dashboards, model deployment workflows, and real-time monitoring views that our customers use to deploy and manage AI workloads at scale.</li>
<li>APIs &amp; Backend Services: Architect and implement the backend services that power our platform &mdash; model serving endpoints, usage metering, billing integrations, authentication, and developer-facing APIs.</li>
<li>Orchestration Interfaces: Build the frontend and API layers on top of our GPU orchestration engine, giving users intuitive control over routing, caching, scaling, and cost optimization across our global network.</li>
<li>Developer Experience: Own the end-to-end developer experience including API documentation, SDK design, CLI tools, and onboarding flows that make Parasail the easiest inference platform to adopt.</li>
<li>Real-Time Systems: Implement streaming interfaces (SSE/WebSockets) for real-time inference responses, live cost tracking, and deployment status updates.</li>
<li>Data &amp; Analytics: Build internal and customer-facing analytics &mdash; usage dashboards, cost breakdowns, latency distributions, and performance benchmarking tools.</li>
</ul><h1 class="jobSectionHeader">Technical Abilities</h1>
<ul><li>Frontend Engineering: Strong experience with modern frontend frameworks (React, Next.js, or similar). You write clean, performant TypeScript and care about UI/UX details &mdash; loading states, error handling, responsive design, and accessibility.</li>
<li>Backend Development: Deep experience building production backend services in Go, Python, Java, or Node.js. You&rsquo;re comfortable designing RESTful and gRPC APIs, working with relational and NoSQL databases, and implementing auth, rate limiting, and caching layers.</li>
<li>Distributed Systems Fundamentals: Solid understanding of distributed computing principles &mdash; consistency models, fault tolerance, and scalability patterns. You don&rsquo;t need to be a distributed systems PhD, but you should be comfortable reasoning about systems that span multiple services and regions.</li>
<li>Cloud-Native &amp; Infrastructure: Experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD pipelines. Bonus if you&rsquo;ve worked with Infrastructure as Code (Terraform, Pulumi).</li>
<li>Data &amp; Observability: Experience building data pipelines, analytics dashboards, and integrating observability tools (metrics, logging, tracing). You know how to instrument systems so problems surface before customers notice.</li>
<li>AI/ML Familiarity (Nice to Have): Understanding of LLM technologies, inference optimization (batching, caching, quantization), or model serving platforms like vLLM, TGI, or Triton. If you don&rsquo;t have this yet, you&rsquo;re excited to learn.</li>
</ul><h1 class="jobSectionHeader">Qualifications</h1>
<ul><li>5+ years of professional software engineering experience with significant fullstack ownership (you&rsquo;ve shipped features end-to-end, from UI to database).</li>
<li>Track record of building and scaling web applications or developer platforms used by technical audiences.</li>
<li>Experience working in fast-paced environments where you&rsquo;ve had to make pragmatic trade-offs between speed and quality.</li>
<li>Strong product instincts &mdash; you think about the user experience, not just the code.</li>
<li>Excellent communication skills. You can explain technical decisions to non-technical stakeholders and write clear documentation.</li>
<li>While deep AI experience is not required, a demonstrated ability to learn new technologies quickly and stay current with the rapidly evolving AI landscape is essential.</li>
</ul><h1 class="jobSectionHeader">Why Parasail</h1>
<ul><li>Massive impact at an early stage. We&rsquo;re a small team building infrastructure that powers thousands of AI applications. Your work will be felt by every customer, every day.</li>
<li>Work at the frontier. AI inference is one of the fastest-growing and most technically interesting areas in tech. You&rsquo;ll work alongside engineers who&rsquo;ve built AI companies from scratch and shipped products used by industry leaders.</li>
<li>Full ownership, minimal bureaucracy. No PRDs written by someone three levels away. You&rsquo;ll work directly with founders and ship to production on your own terms.</li>
<li>Competitive compensation. Competitive salary, meaningful equity in a high-growth company, and benefits designed for a distributed team.</li>
</ul>
<div><div><div><div>The AI inference market is projected to dwarf the training market within a few years. Parasail is building the infrastructure layer that makes this possible. If you want to build products that shape how the world runs AI, we&rsquo;d love to hear from you.</div></div></div></div></div></div>

Senior Software Engineer, Fullstack

EARTH & ESTATES LLP

We&rsquo;re Hiring: Lead Data Engineer Location: California, USA (Bay Area &ndash; Local Candidates Only) Employment Type: W2 Only (All Visas Accepted Except H1) Experience: 6+ Years of Genuine Hands-on Experience RequiredWe are seeking an experienced, hands-on Senior Data Engineer to design, build, and scale modern data platforms supporting enterprise analytics, business intelligence, and healthcare data integrations. This role involves working with SQL Server, Azure, Databricks, Snowflake, and Python in real-world production environments, with a strong focus on cloud modernization and scalable data architecture.Key Responsibilities:-Design and maintain scalable ETL/ELT pipelines across cloud platformsLead migration of on-prem SQL Server workloads to Azure (ADF, Synapse, ADLS, Fabric)Architect and optimize data warehouses, data marts, and lakehouse architecturesWork with healthcare data systems (EHR, HL7, FHIR, HIPAA-compliant environments)Develop integrations using REST APIs, CDC, and event-driven architecturesImplement dimensional modeling and performance tuning strategiesBuild batch and streaming pipelines using Spark and KafkaCollaborate with BI, ML, and business stakeholdersEstablish monitoring, data quality checks, and CI/CD processesCore Skills:-Advanced SQL and performance tuningAzure (ADF, Synapse, Azure SQL, ADLS, Fabric)Databricks, Snowflake, BigQueryPython (PySpark), ScalaSpark (batch &amp; streaming), KafkaETL tools (ADF, SSIS, Airflow, dbt)BI tools (Power BI preferred)DevOps and data governance best practicesInterested candidates (local to Bay Area only, with 6+ years of genuine experience) may share their resume at:devang@acrtechnology.comJob Types: Full-time, ContractPay: $55.00 - $65.00 per hourWork Location: In person

Lead Data Engineer

ACR Technology Inc

We&rsquo;re Hiring: Lead Data EngineerLocation: California, USA (Bay Area &ndash; Local Candidates Only) - OnsiteEmployment Type: W2 Only - NO H1Experience: 6+ Years of Genuine Hands-on Experience RequiredWe are seeking an experienced, hands-on Senior Data Engineer to design, build, and scale modern data platforms supporting enterprise analytics, business intelligence, and healthcare data integrations.This role involves working with SQL Server, Azure, Databricks, Snowflake, and Python in real-world production environments, with a strong focus on cloud modernization and scalable data architecture.Key Responsibilities:-Design and maintain scalable ETL/ELT pipelines across cloud platformsLead migration of on-prem SQL Server workloads to Azure (ADF, Synapse, ADLS, Fabric)Architect and optimize data warehouses, data marts, and lakehouse architecturesWork with healthcare data systems (EHR, HL7, FHIR, HIPAA-compliant environments)Develop integrations using REST APIs, CDC, and event-driven architecturesImplement dimensional modeling and performance tuning strategiesBuild batch and streaming pipelines using Spark and KafkaCollaborate with BI, ML, and business stakeholdersEstablish monitoring, data quality checks, and CI/CD processesCore Skills:-Advanced SQL and performance tuningAzure (ADF, Synapse, Azure SQL, ADLS, Fabric)Databricks, Snowflake, BigQueryPython (PySpark), ScalaSpark (batch &amp; streaming), KafkaETL tools (ADF, SSIS, Airflow, dbt)BI tools (Power BI preferred)DevOps and data governance best practicesNice to have: Healthcare domain experience, Databricks administration, real-time architecture experience, ML pipeline exposure.Interested candidates (local to Bay Area only, with 6+ years of genuine experience) may share their resume at:devang@acrtechnology.comPay: $55.00 - $65.00 per hourWork Location: In person

Explore 229+ Senior network engineer in San Francisco this March. Find roles across top companies and apply now to boost your career.

229 senior network engineer jobs In San Francisco

Senior Network Engineer

Senior Software Engineer, Distributed Systems

Cloud Network Release Engineer

Senior Software Engineer, LLM Performance

Senior Software Engineer, Fullstack

Lead Data Engineer

Lead Data Engineer