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ai engineer – remote work Jobs in San Francisco

ai engineer – remote work

junior devops engineer

M&D Mechanical Contractors

, 20 hours per weekPosition: Junior DevOps EngineerCompany Overview: M & D Mechanical Contractors is a leading mechanical contracting company based in San Francisco, CA. We specialize in providing high-quality mechanical services to commercial and residential clients in the Bay Area. Our team is made up of experienced professionals who are dedicated to delivering exceptional results and exceeding our clients' expectations.Job Summary: We are seeking a highly motivated and skilled Junior DevOps Engineer to join our team on a part-time basis. In this role, you will work closely with our DevOps team to support and maintain our infrastructure, automate processes, and ensure the smooth operation of our systems.
 
The ideal candidate will have a strong understanding of software development, cloud computing, and automation tools, as well as a passion for learning and continuous improvement.Responsibilities: - Collaborate with the DevOps team to design, build, and maintain our infrastructure and systems- Automate processes and workflows to improve efficiency and reduce manual tasks- Monitor system performance and troubleshoot issues as needed- Implement and maintain security measures to protect our systems and data- Work with development teams to ensure smooth integration and deployment of new applications and updates- Stay up-to-date with industry trends and emerging technologies to continuously improve our systems and processes- Participate in on-call rotations to provide 24/7 support for critical systemsRequirements: - Bachelor's degree in Computer Science, Engineering, or a related field- 1-2 years of experience in a DevOps or Systems Administration role- Strong understanding of software development processes and methodologies- Experience with cloud computing platforms such as AWS, Azure, or Google Cloud- Proficiency in scripting languages such as Bash, Python, or Ruby- Familiarity with automation tools such as Ansible, Puppet, or Chef- Knowledge of containerization technologies like Docker and Kubernetes- Excellent problem-solving and troubleshooting skills- Strong communication and collaboration skills- Ability to work independently and in a team environment- Willingness to learn and adapt to new technologies and processesLocation: This position is based in San Francisco, CA. However, due to the current COVID-19 pandemic, remote work options may be available.Contract Details: This is a part-time position, with a commitment of 20 hours per week. The exact schedule can be discussed during the interview process.Join Our Team: At M & D Mechanical Contractors, we value diversity and inclusivity in our workplace. We offer a competitive salary, opportunities for growth and development, and a supportive and collaborative work environment.
 
If you are passionate about DevOps and want to be part of a dynamic team, we encourage you to apply for this exciting opportunity.

Junior DevOps Engineer

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

Charles Schwab

<div><h2 class="jobSectionHeader">Your opportunity</h2><div> 
At Schwab, your career is more than a job&mdash;it's an opportunity to impact the lives of millions. Innovation and creative problem solving thrive here, as we challenge conventional approaches and prioritize collaboration. We value in-person teamwork, so this role is based on-site at our San Francisco office.</div><div></div><div> 
As part of Schwab&rsquo;s AI Strategy &amp; Transformation team (AI.x), you&rsquo;ll join the central hub for Artificial Intelligence across the company. AI.x brings together product, engineering, strategy, and risk specialists to set enterprise AI vision, invest in transformative opportunities, and accelerate delivery organization-wide. Our team builds the scalable core platform for AI and explores next-generation GenAI initiatives that redefine client experiences.</div><div></div><div> 
We&rsquo;re seeking a Senior AI Engineer who will design and deliver cutting-edge GenAI applications, enhancing the client journey and driving tangible business value. You&rsquo;ll collaborate closely with architects, engineers, and business leaders to align solutions with Schwab&rsquo;s strategic goals, and mentor junior team members&mdash;cultivating best engineering practices and a culture of continuous learning.</div><div></div><div> 
In this pivotal role, you&rsquo;ll not only advance technical standards and solve complex challenges, but also lead rapid iterations from concept to production. You will bring curiosity, creativity, and technical depth to help shape the next era of AI at Schwab, with a special emphasis on site reliability, monitoring, observability, and operations. You&rsquo;ll ensure that the systems you build are robust, reliable, and well-monitored, implementing best practices for observability and operational excellence to maintain high performance and uptime for mission-critical AI applications.</div><ul><li>
Design, build, and deliver GenAI applications that elevate client experience and generate business impact.</li><li>
Champion reliability, monitoring, observability, and operational best practices for AI systems and data pipelines.</li><li>
Collaborate with cross-functional teams to align solutions with enterprise strategy and technical standards.</li><li>
Mentor and coach junior engineers, fostering strong practices and continuous learning.</li><li>
Lead by example in solving complex technical challenges and driving rapid iteration from concept to deployment.</li><li>
Implement and maintain monitoring, alerting, and incident response frameworks to ensure system health and reliability.</li><li>
Advance engineering standards, focusing on operational excellence and quality across all deliverables.</li></ul><h2 class="jobSectionHeader">
What you have</h2><div> 
Required Qualifications</div><ul><li>
8+ years of software development experience, with 4+ years as a hands-on senior engineer in startups and/or large organizations.</li><li>
Bachelor&rsquo;s degree in Computer Science or related field.</li><li>
5+ years building complex products from scratch, running them in production, and ensuring operational reliability.</li><li>
3+ years building applications leveraging AI models for measurable business impact.</li><li>
3+ years developing applications and data pipelines interfacing with large datasets.</li><li>
3+ years working with containers and cloud-native applications, operationalizing them in the public cloud with infrastructure as code.</li></ul><div>
Preferred Qualifications</div><ul><li>
Strong computer science fundamentals and experience across the tech stack.</li><li>
Experience with proprietary or open-source LLMs (e.g., Gemini, Claude, OpenAI) and deploying LLM-powered applications to production.</li><li>
Commitment to quality&mdash;driving high standards and writing tests at all levels.</li><li>
Experience writing and running evaluations for quality and consistency in LLM-generated output.</li><li>
Strong written and verbal communication skills to clearly convey ideas and feedback.</li><li>
Mentoring junior engineers and supporting their technical growth through code reviews and guidance.</li><li>
Mindset of continuous learning and improvement.</li><li>
Ability to solve complex problems with ambiguous or incomplete data in distributed systems.</li><li>
Demonstrated business domain knowledge relevant to previous products.</li><li>
Curiosity about new technologies and processes, proactively sharing knowledge and seeking improvement.</li><li>
Experience with Python and front-end development preferred but not required.</li><li>
Master&rsquo;s or advanced degree in Computer Science or related field.</li></ul><div>
In addition to the salary range, this role is eligible for bonus or incentive opportunities.</div><div><h2 class="jobSectionHeader"> 
What&rsquo;s in it for you</h2>
At Schwab, you&rsquo;re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration&mdash;so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you &ndash; both today and in the future:<ul><li>
401(k) with company match and Employee stock purchase plan</li><li>
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions</li><li>
Paid parental leave and family building benefits</li><li>
Tuition reimbursement</li><li>
Health, dental, and vision insurance</li></ul></div></div>

Sr. AI Engineer, AI.x

Lumina Tech Group

<div>
 
 
 About the Role
 
 
 
 We partner with hundreds of high-growth companies to build tools that solve complex problems at scale.
 
 
 We&rsquo;re looking for a product-minded engineer to help build impactful products used by thousands of users. This is an opportunity to work on systems that influence one of the largest markets in the world.
 
 
 You&rsquo;ll have end-to-end ownership across product and engineering, working with valuable proprietary datasets to build scalable solutions.
 
 
 
 What You&rsquo;ll Work On
 
 
 <ul>
 <li>
 Intelligently matching millions of users and organizations using unique proprietary data
 </li>
 <li>
 Designing incentive systems that improve collaboration and platform engagement
 </li>
 <li>
 Building core tooling to power user workflows, including AI note-taking, email sequencing, browser extensions, and related tools
 </li>
 <li>
 Creating new ways for users to discover opportunities and connections
 </li>
 <li>
 Developing creative strategies to drive marketplace liquidity across industries such as Legal, Finance, and Healthcare
 </li>
 </ul>
 
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 Product-minded engineer with strong ownership and execution skills
 </li>
 <li>
 Ability to work across the stack, with a lean toward product engineering
 </li>
 <li>
 Strong problem-solving ability, sound judgment, and high EQ
 </li>
 <li>
 Interest in building user-facing products in a fast-moving environment
 </li>
 <li>
 Excited by startup intensity and the opportunity to help scale both product and team
 </li>
 </ul>
 
 
 Team &amp; Opportunity
 
 
 <ul>
 <li>
 Small, high-talent-density engineering team with plans to grow significantly
 </li>
 <li>
 Open to both junior and senior candidates
 </li>
 <li>
 Looking for engineers who can contribute to both building product and shaping culture
 </li>
 <li>
 High ownership environment with direct impact on company growth and product direction
 </li>
 </ul>
 
 
 Compensation &amp; Benefits
 
 
 <ul>
 <li>
 Salary:
 
 $150,000 &ndash; $275,000
 
 </li>
 <li>
 Competitive equity
 </li>
 <li>
 Relocation support available
 </li>
 <li>
 Visa sponsorship on a case-by-case basis
 </li>
 <li>
 Unlimited PTO
 </li>
 <li>
 Gym membership
 </li>
 <li>
 Global offsites
 </li>
 <li>
 Meals covered
 </li>
 </ul>
 
 
 Location
 
 
 <ul>
 <li>
 Onsite in
 
 San Francisco
 
 </li>
 </ul>
 
 
 Why Join
 
 
 <ul>
 <li>
 Build impactful products powered by AI and large-scale data
 </li>
 <li>
 Join a lean engineering team where individual impact is high
 </li>
 <li>
 Work on meaningful user problems at the intersection of software, marketplaces, and modern infrastructure
 </li>
 </ul>
 
 
</div>

Software Engineer

RZR Global Inc.

<div>Who are we? 
 
RZR Global is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. We leverage AI to discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our audience engagement platform includes creative strategy and execution. We handle 5 million mobile ad requests per second from over 10 billion devices, driving performance for both publishers and brands. We are headquartered in San Francisco, CA, with a global presence across the United States, EMEA, and APAC. 
<h4 class="jobSectionHeader">
Role Overview</h4>

RZR Global is seeking a talented Data Engineer to join our growing engineering team. This role is ideal for an engineer with a strong background in building and operating large-scale, high-performance data pipelines. As a Data Engineer, you will design, develop, and maintain the data infrastructure that powers our programmatic Demand-Side Platform (DSP), enabling real-time and batch processing of massive volumes of event, log, and campaign data. You will work with technologies such as ClickHouse, Kafka, Spark, HDFS, and Fluentd to ensure data is reliable, scalable, and accessible for analytics, reporting, and machine learning. You will collaborate closely with backend engineers, data scientists, and product teams to deliver high-quality data solutions that support real-time bidding (RTB), optimization, and business insights.
<h4 class="jobSectionHeader">
Key Responsibilities</h4>
<ul>
<li>Architect, design, and own highly scalable, fault-tolerant data pipelines for real-time and batch processing of large-scale event and campaign data.
</li>
<li>Lead the development of data processing systems using Kafka, Spark, ClickHouse, HDFS, and Fluentd, with a strong focus on performance, reliability, and data correctness.
</li>
<li>Partner closely with backend engineers, data scientists, and product teams to define data models, SLAs, and end-to-end data flows that support real-time bidding (RTB), analytics, and machine learning use cases.
</li>
<li>Drive performance optimization, capacity planning, and cost efficiency across streaming and batch data platforms.
</li>
<li>Establish and enforce best practices around data quality, monitoring, alerting, testing, and operational readiness.
</li>
<li>Conduct design and code reviews, mentor junior engineers, and provide technical leadership across data engineering initiatives.
</li>
<li>Evaluate and introduce new data technologies, frameworks, and architectural improvements to evolve the data platform at scale.
</li>
</ul><h4 class="jobSectionHeader">Required Skills / Experience</h4>
<ul>
<li>6+ years of experience in data engineering, backend engineering, or distributed systems development.
</li>
<li>Strong proficiency in building and operating large-scale data pipelines using technologies such as Kafka, Spark, ClickHouse, HDFS, and Fluentd.
</li>
<li>Solid understanding of distributed systems concepts, including data partitioning, fault tolerance, consistency, and scalability.
</li>
<li>Experience designing efficient data models and schemas for analytical and real-time workloads.
</li>
<li>Strong experience with streaming and batch processing architectures.
</li>
<li>Experience with performance tuning, capacity planning, and troubleshooting production data systems.
</li>
<li>Familiarity with data quality, monitoring, alerting, and operational best practices.
</li>
<li>Knowledge of real-time systems, ad tech, programmatic advertising, RTB, or large-scale analytics platforms is a plus.
</li>
<li>Excellent problem-solving skills, strong ownership mindset, and ability to operate effectively in a fast-paced, high-scale environment.
</li>
<li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field.</li></ul></div>

Senior Data 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

Explore 109+ Junior devops engineer in San Francisco this March. Find roles across top companies and apply now to boost your career.

109 junior devops engineer jobs In San Francisco

Junior DevOps Engineer

Lead Data Engineer

Lead Data Engineer

Sr. AI Engineer, AI.x

Software Engineer

Senior Data Engineer

Senior Software Engineer, Distributed Systems