it engineer

FluidStack

<div><div><div>San Francisco, CA,Austin, TX
 </div></div><div>Full Time</div></div>
 <div><h1 class="jobSectionHeader">About Fluidstack</h1>
At Fluidstack, we build the compute, data centers, and power that will fuel artificial superintelligence. We supply GWs of compute capabilities to the world&rsquo;s biggest AI Labs at industry-defining speeds.
Our team is small, fast, and obsessed with quality. We own outcomes end-to-end, challenge assumptions, and treat our customers' problems as our own. No task is beneath anyone here.
There are a few thousand people who will shape the trajectory of superintelligence. Come and be one of them.
<h2 class="jobSectionHeader">About the Role</h2>
As an IT Engineer you will be working across identity, devices, SaaS platforms, and supporting end users. You should be organized, collaborative, and eager to learn while working within established systems and processes.
<ul><li>Provide reliable, hands-on IT support for our in office and remote employees by efficiently resolving Help Desk tickets while delivering excellent customer service.
</li><li>Support Fluidstack&rsquo;s MDM fleet comprising macOS, iOS, and Windows devices.
</li><li>Provide in office support by troubleshooting basic network issues and our A/V systems.
</li><li>Help manage and optimize Okta and our core SaaS tooling by administering and improving integrations and role-based access controls.
</li><li>Support daily procurement and asset management operations by coordinating hardware purchasing and tracking while maintaining accurate asset inventory and device assignments throughout their lifecycle (purchase to decommission).
</li><li>Help maintain clear, organized, and accessible IT documentation by creating easy-to-understand technical documentation for both technical and non-technical audiences.
</li><li>Contribute to IT initiatives by supporting project execution, managing priorities, and ensuring clear communication with stakeholders through regular updates.
</li><li>Help maintain a secure environment by supporting basic security hygiene to include access reviews and basic identity security tasks.
</li><li>Support onboarding and offboarding of Fluidstack employees and contractors.
</li><li>Support the IT team by creating simple, reliable automations that reduce manual work and improve operational efficiency.
</li></ul><h1 class="jobSectionHeader">Qualifications</h1>
<ul><li>Practical experience administering Okta, including users, groups, and basic app integrations (OIE a plus).
</li><li>Strong knowledge of Google Workspace, with some exposure to Office 365.
</li><li>Hands-on MDM experience with macOS and Windows, ideally with Iru (formerly Kandji).
</li><li>Ability to support macOS, iOS, and Windows devices.
</li><li>Familiarity with Atlassian tools (Jira, Confluence) for documentation and project management.
</li><li>Experience participating in procurement and asset management processes.
</li><li>Clear, concise technical writing skills for documentation and knowledge base content.
</li><li>Excellent communication and customer service abilities.
</li><li>Basic understanding of security principles and best practices.
</li></ul><h1 class="jobSectionHeader">Nice To Haves</h1>
<ul><li>Experience with no‑code/low‑code automation tools (Okta Workflows, n8n, Zapier, Workato, Tray.io).
</li><li>Scripting familiarity with common languages (Bash, PowerShell, Python).
</li><li>Exposure to security and compliance frameworks (SOC 2, ISO 27001, NIST, CIS, FedRAMP).
</li><li>Experience with AI tools, agents, MCPs, automations, and prompting. Fluidstack standardizes on Anthropic Claude and has OpenAI ChatGPT.
</li><li>HRIS integration experience with systems like Deel, Rippling, BambooHR, or Workday.
</li><li>Understanding of API integrations and webhooks, and how to use them effectively.
</li></ul><h1 class="jobSectionHeader">Salary &amp; Benefits</h1>
<ul><li>Competitive total compensation package (salary + equity).
</li><li>Retirement or pension plan, in line with local norms.
</li><li>Health, dental, and vision insurance.
</li><li>Generous PTO policy, in line with local norms.
</li></ul>The base salary range for this position is $90,000 - $150,000 per year, depending on experience, skills, qualifications, and location. This range represents our good faith estimate of the compensation for this role at the time of posting. Total compensation may also include equity in the form of stock options.
We are committed to pay equity and transparency.
Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email careers@fluidstack.io with your resume/CV, the role you've applied for, and the date you submitted your application- someone from our recruiting team will be in touch.</div>

IT Engineer

BRAIN

<div><h2 class="jobSectionHeader">About Brain Co.</h2>
Brain Co. is an applied AI startup co-founded by Jared Kushner and Elad Gil, and backed by leading Silicon Valley builders including Patrick Collison and Andrej Karpathy. 
 
We are building AI applications for the world&rsquo;s most important institutions, delivering impact on real-world problems across governments, healthcare systems, and critical industries. 
 
Our progress so far:<ul><li>
Automated construction permitting for a sovereign government 80% faster, unlocking $375M+ in value</li><li>
Optimized supply chains for a leading global energy company 30% lower cost, 99% reliability, preventing $100M+ in losses</li><li>
Streamlined hospital patient care across national health systems 40% better outcomes, 80% less admin work</li></ul>
Company momentum:<ul><li>
Raised a $55M Series A from leading investors</li><li>
Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks</li></ul>
At Brain Co., we focus on applying frontier AI to real institutional challenges, working alongside governments, healthcare systems, and critical industries to modernize how essential services operate. 
 
We are looking for leaders who want to help bring new technology into institutions that impact millions of people.<h2 class="jobSectionHeader">
About the role:
</h2>As our IT Engineer, you'll own the corporate technology layer end-to-end &mdash; identity and access management, SaaS tooling, device security, and the employee-facing systems that keep a fast-growing company running safely. This is a high-ownership role at the intersection of IT engineering and corporate security: you'll own the IT execution across identity, access, device, and SaaS &mdash; contributing directly to security programs like SOC 2 and Zero Trust &mdash; while also serving as the first line of support for our team's day-to-day needs. You'll work closely with Security, HR, and Engineering to build the operational foundation that lets Brain Co. scale without sacrificing security or employee experience.<h2 class="jobSectionHeader">
What you'll work on:
</h2>Identity &amp; Access Management<ul><li>
Own our Okta environment and consolidate SSO: migrations, managing provisioning, lifecycle automation, and federation across all departments.</li><li>
Implement and improve our 3-tier access entitlement model: auto-grant for Tier 1, manager approval for Tier 2, manager + security approval for Tier 3.</li><li>
Build and operationalize HRIS-triggered provisioning and offboarding automation across our identity and SaaS stack.</li></ul>
Corporate Security Operations<ul><li>
Support access review programs and contribute to SOC 2 compliance efforts &mdash; maintaining audit trails, approval chains, and provisioning logs.</li><li>
Contribute to Zero Trust and endpoint security initiatives: device trust, EDR integration, MDM, and least-privilege access across corporate and BYOD devices.</li><li>
Drive SaaS hygiene across our tooling estate &mdash; shadow IT discovery, configuration hardening, and data classification in partnership with the security team.</li></ul>
IT Engineering &amp; Automation<ul><li>
Build the integrations and automation that eliminate manual IT work &mdash; connecting identity, HRIS, and SaaS tooling into scalable provisioning workflows.</li><li>
Own the access request process end-to-end, and maintain the runbooks, documentation, and self-service resources that keep the team unblocked.</li></ul>
Service Desk &amp; Employee Experience<ul><li>
Partner on IT support for a 70+ person team &ndash;&ndash; triaging and resolving hardware and software issues with pragmatism and good judgment.</li><li>
Own device lifecycle and support new hire onboarding end-to-end, ensuring a seamless Day 1 experience.</li></ul><h2 class="jobSectionHeader">
You might be a great fit if you...</h2><ul><li>
Have 4+ years of experience in IT engineering, corporate security, or a combined IT/SecOps role with hands-on ownership of identity and SaaS environments.&bull;Have deep, practical experience with Okta &mdash; SSO configuration, lifecycle management, MFA policies, and group-based provisioning.</li><li>
Have built or managed HRIS/IT integrations and understand how provisioning pipelines work across HR, identity, and downstream SaaS tools.</li><li>
Have run access reviews and understand what SOC 2 access control evidence looks like &mdash; logs, approval chains, audit trails.</li><li>
Are comfortable in the command line and can write scripts (Terraform, Python, Bash, or similar) to automate</li><li>
repetitive IT work.</li><li>
Have supported end users at a fast-moving company and know how to balance velocity with security</li><li>
without being a blocker.</li><li>
Think in terms of systems and workflows, not just tickets &mdash; you look for root causes and build durable</li><li>
fixes.</li><li>
Thrive in ambiguous, high-agency environments and want to own a function, not just execute tasks.</li><li>
Bonus points for:</li><li>
Hands-on experience with Rippling or a similar HRIS platform.</li><li>
Familiarity with MDM platforms (Jamf, Kandji, or Intune) for Mac and Windows fleets.</li><li>
Experience with Google Workspace administration and security hardening.</li><li>
Prior work at a startup where you wore both IT and security hats simultaneously.</li></ul><h2 class="jobSectionHeader">
Why join us:</h2><ul><li>
Drive corporate IT at a company deploying AI to governments, hospitals, and critical industries &mdash; the stakes are real.</li><li>
Build systems from scratch with a clear roadmap, real ownership, and direct impact on how the company scales IT.</li><li>
Work alongside senior engineers from Tesla, DeepMind, Databricks, and other top engineering organizations.</li><li>
Ship meaningful automation and IT platform infrastructure &mdash; not just keep the lights on.</li><li>
Earn competitive compensation and meaningful equity in a high-growth company.</li></ul><h2 class="jobSectionHeader">
Benefits</h2><ul><li>
Competitive salary plus equity</li><li>
Daily lunches</li><li>
Commuter benefits</li><li>
401(k)</li><li>
Medical, Dental, and Vision</li><li>
Unlimited PTO</li></ul></div>

IT Security Engineer

Meter

<div>
 Why this role exists
 
 
 Network engineers carry the most valuable signal in the world in their heads, and it disappears the moment they close a ticket.
 
 
 Your job is to build the system that captures that signal so that our models can learn to think like network engineers.
 
 
 If you get this right, Meter can manage thousands of customers&rsquo; networks autonomously, without adding a single engineer.
 
 
 The problem you&rsquo;re walking into
 
 
 LLMs are good at code because of their access to Git. Commit messages explain why a change was made, PR threads capture expert disagreement, issue trackers record dead ends and eventual fixes. Models trained on that corpus of data don&rsquo;t just pattern-match, they&rsquo;ve seen millions of examples of human reasoning through problems.
 
 
 Network engineering has none of this. When a network engineer looks at a set of device stats and figures out it&rsquo;s upstream packet loss &mdash; not a hardware failure, not a misconfiguration, specifically upstream packet loss &mdash; that reasoning lives in their head. Never in a place a model can learn from.
 
 
 You will build the Git and Github for network engineering. A structured, queryable record of what the network looked like, what the expert notice, and why they made the call they made.
 
 
 What you will ship
 
 
 First 30 days
 
 
 Sit with our network engineers and watch how they work. Don&rsquo;t touch code yet. Understand what a great diagnostic reasoning record actually looks like and what data you&rsquo;ll need to build one. Map the existing landscape: telemetry in ClickHouse, configs in Postgres, support history in Salesforce.
 
 
 60 days in
 
 
 Ship a working v1 of the annotation interface. Network engineers should be able to open a historical support ticket, see what the network looked like at the time of the incident, and log their diagnostic reasoning against it. It doesn&rsquo;t have to be elegant, it has to be useful enough for engineers to want to use it.
 
 
 90 days in
 
 
 Our network engineers are generating training data independently without engineering support. The first model benchmarks built from the pipeline are running and you can point to a number knowing the model improved because of what you shipped.
 
 
 Tech Stack
 
 
 TypeScript, React, Go, GraphQL, Kafka, Postgres.
 
 
 Who you&rsquo;ll work with
 
 
 Our co-founder and CEO will lead the product roadmap.
 
 
 In addition to your customers, network engineers, you&rsquo;ll partner closely with two research engineers who have deep ML backgrounds and a clear picture of what training data needs to look like. They&rsquo;re excited to have a partner in building the app.
 
 
 Measuring success
 
 
 <ul>
 <li>
 Within 90 days, Network engineers are generating training data independently, without pinging you
 </li>
 <li>
 We have a large set of high-quality annotated cases in the pipeline
 </li>
 <li>
 Model benchmark scores are moving in the right direction because of the data this pipeline produced
 
 
 </li>
 </ul>
 What we&rsquo;re looking for
 
 
 You&rsquo;ve built backend systems end-to-end and made real architectural decisions with real consequences. You have opinions about data storage that come from having made the wrong decisions.
 
 
 You have deep customer empathy. You&rsquo;ll spend your first weeks learning how network engineers think and work. This knowledge will shape your future decisions.
 
 
 You care about people using the tools you built for them. Network engineer tool adoption and satisfaction leads to critical training data, model improvement, and eventually autonomous networks.
 
 
</div>

Software Engineer, Models

PRAVAH

<div>About Pravāh
Pravāh is building foundational intelligence for the electric grid. We are a team of researchers and engineers who met at Stanford. We use machine learning to help electric utilities make real-time decisions on grid planning and operations to reduce blackout risks and reduce volatility caused by extreme events.
We are backed by Khosla Ventures, Pear VC, and Conviction.
To know more about who we are, what we are building, and why we are excited read this Notion! https://pravah.notion.site/ 
The Role
We do not have a predefined job description for this posting, and that is intentional.
If you have come across what we are building and thought &quot;I know exactly how I could contribute, but I do not see a role for it,&quot; this is for you. We are open to exceptional people across machine learning, software engineering, power systems, weather, business development, operations, and domains we have not even thought of yet.
We are a small team solving genuinely hard problems at the frontier of AI and physical infrastructure. The right person for this role will come in with a point of view: a clear sense of what they are great at, where they see a gap at Pravāh, and how they would fill it. We will figure out the rest together. 
What You Might Work On
This depends entirely on you and what you bring. Past examples of roles candidates have proposed, or that we could imagine:<ul><li>
A machine learning researcher who wants to define a new modeling direction in GNNs, RL, or computer vision</li><li>
A power systems engineer who wants to bridge grid physics and our AI stack</li><li>
A forward deployed engineer who understands utility operations and wants to own technical deployments end-to-end</li><li>
A founding engineer who wants to own our product deployment</li><li>
A weather scientist who sees an opportunity to push the frontier of AI-weather prediction for grid applications</li><li>
A GTM or BD specialist who knows the utility landscape and wants to build our commercial motion 
</li></ul> 
What we always look for<ul><li>
High agency and a bias for action. You build, fix, and ship. You do not wait for perfect conditions or a detailed playbook.</li><li>
Full ownership from Day 1. You thrive in ambiguity, reason from first principles, and take problems end-to-end.</li><li>
High standards. We are building the core decision engine for the modern grid, not optimising for a local maximum. We want people who think the same way.</li><li>
Easy to work with. We hugely value people who are relaxed and friendly while also being intense and absolute hustlers. Our lives are crazy and only getting crazier, in the best way possible.</li><li>
Strategic thinking. How do we accomplish 10x what we are doing today? We want people who hold the long-term roadmap and the short-term execution in their heads at the same time.</li></ul>
What You Will Gain<ul><li>
The chance to work on hard, open-ended problems at the intersection of AI and physical infrastructure.</li><li>
Ability to shape technical direction at a company that is early enough for your ideas to genuinely change the trajectory.</li><li>
Close collaboration with a deeply technical and motivated founding team.</li></ul>
Compensation Range: $150K - $250K</div>

Pitch us a Role

Ｃollective

<div>About Collective:
Collective is on a mission to redefine the way businesses-of-one work. Our technology and team of trusted advisors help members achieve financial independence by taking care of everything from business incorporation to accounting, bookkeeping, tax services, and access to a thriving community, all in one integrated platform. We believe in empowering self-employed people to enjoy the same tax savings that big companies get, so they can focus on their passion, not paperwork.
Featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, TechCrunch, and more. We are backed by General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, Google&rsquo;s Gradient Ventures, Expa, and other investors who have financed iconic companies like YouTube, Substack, Twitch, Box, Hims, Instacart, and Lyft.
About the role:
Most teams have the data they need but can&rsquo;t access it. This role is here to fix that.
We're hiring a senior engineer to build an internal data agent: a system that lets anyone at the company act as their own data analyst. Individuals can ask questions in plain English and get back correct, decision-ready answers or dashboards.
This is not a traditional data role. You'll operate across AI systems, data infrastructure, and product engineering. You'll be responsible both for building a powerful system and for ensuring the data it relies on is clean, consistent, and reliable.
The problem space is wide open. We&rsquo;re looking for a strategic operator to shape the technical direction, the data model, and system adoption.
What you'll do:<ul><li>
Develop agent infrastructure<ul><li>
Build retrieval, planning, and execution systems on top of real data</li><li>
Support multi-step reasoning and analysis workflows</li><li>
Integrate into internal tools</li></ul></li><li>
 Build an end-to-end analytics system<ul><li>
Create a natural language interface over our entire data stack</li><li>
Enable anyone to run complex analyses without writing SQL</li></ul></li><li>
Own and improve the data layer<ul><li>
Collaborate with product engineering to design and evolve clean, consistent data models</li><li>
Identify inconsistencies in the core schema and resolve them at the source</li></ul></li><li>
Build and maintain data pipelines<ul><li>
Own the reliability of our data infrastructure end-to-end</li><li>
Debug and fix broken systems (e.g. dbt models, pipeline failures)</li><li>
Make it easy to integrate new data sources into the data warehouse</li></ul></li><li>
Make it trustworthy<ul><li>
Ensure outputs are correct, consistent, and explainable</li><li>
Build evaluation loops, monitoring, and guardrails</li><li>
Eliminate ambiguity in metrics, definitions, and sources of truth</li><li>
Handle permissions, sensitive data, and edge cases</li></ul></li><li>
Drive adoption<ul><li>
Work directly with teams across EPD, Member Operations, Legal, and more</li><li>
Drive alignment on data definitions and system usage</li><li>
Turn this into the default way people interact with data</li></ul></li></ul>
What you'll bring:<ul><li>
 You are a product engineer working in data<ul><li>
You treat data models as part of the product, not a separate layer</li><li>
You have strong opinions on schema design, naming, and consistency</li><li>
You're comfortable identifying issues in production data and fixing them at the root</li></ul></li><li>
You are an owner, not a participant<ul><li>
You take vague, high-stakes problems and turn them into real systems</li><li>
You care about outcomes, not just implementation</li></ul></li><li>
You have strong data experience<ul><li>
Experience with data modeling, warehouses, and pipelines</li></ul></li><li>
You're an exceptional builder<ul><li>
You can go from idea architecture production</li><li>
You've built with LLMs, RAG, or agents in production</li><li>
You've shipped systems that people actually rely on</li></ul></li><li>
You have influence<ul><li>
You communicate effectively with both technical and non-technical stakeholders</li><li>
You can drive alignment across teams with competing priorities</li><li>
You're comfortable challenging existing systems and pushing for better approaches</li></ul></li></ul>
What we offer:<ul><li>
Hybrid Work Model: Based in San Francisco with a balance of in-office and remote flexibility.</li><li>
Fresh Lunch: Provided on in-office days.</li><li>
Commuter Support: $150 monthly reimbursement for transit expenses.</li><li>
Health &amp; Wellness: $200 quarterly reimbursement to support your well-being.</li><li>
Time Off: Flexible PTO plus 14 company holidays.</li><li>
Comprehensive Coverage: 100% medical, dental, and vision for employees; 75% coverage for dependents.</li><li>
Parental Leave: 16 weeks fully paid.</li><li>
Retirement &amp; Ownership: 401k plan plus an equity package.</li><li>
Team Connection: Quarterly virtual events and an annual in-person summit.</li></ul>
Compensation Range: $200K - $270K</div>

AI Data Engineer (Agent Platform)

Fractional AI

<div><h2 class="jobSectionHeader">About Fractional AI</h2>
How do you turn a decades-old dataset into an industry-leading medical coding agent? Teach an AI receptionist to book appointments in Spanish? Automatically generate working data connectors from API docs? Build agents that write, test, and deploy their own software packages?
Fractional AI is a startup in the heart of Silicon Valley targeting the biggest greenfield opportunity in the economy: transforming companies with AI software at a scale the market is only beginning to understand. Our clients include Zapier, Airbyte, and companies from industries ranging from data infrastructure to healthcare and life sciences.
We were founded by repeat founders Chris Taylor, Eddie Siegel, and Travis May (Founder of Datavant, $7B exit), and are backed by Shaper Capital. Most of our engineers are former founders or staff engineers from top tech companies like Google and Stripe.
We're headquartered in SF with additional offices in NYC, Raleigh-Durham, and Dubai.<h2 class="jobSectionHeader">
The Role</h2>
This role is designed for strong software engineers who want to ship AI products end-to-end across a range of domains, with meaningful ownership from day one.
You'll work on a small, high-caliber team (2&ndash;5 engineers and a PM) building AI products for our clients, from requirements gathering and prototyping through system design, development, testing, and deployment. You&rsquo;ll own features end-to-end, and develop domain expertise across a range of AI use cases.
You'll spend most of your time in code, with meaningful client exposure &ndash; frequently interacting with the client&rsquo;s team to make sure what we're building meets their needs.
Most engineers take a decade to see this range of hard problems across this many domains. Here, you'll do it in your first year. To make this possible, we are religious about being the best company in the world to learn Applied AI engineering practices.<h2 class="jobSectionHeader">
What You Bring</h2><ul><li>
Experience consistently shipping high visibility or high impact software, with deep care for the craft. We strongly prefer candidates with 4+ years of experience, although we understand it&rsquo;s only one proxy for impact. Exceptional signals elsewhere (AI evangelism, OSS contributions, founder experience) can substitute.</li><li>
Specific interest in applying software engineering fundamentals to AI systems. You care about balancing frontier model capabilities with good system design.</li><li>
Comfort talking with senior technical stakeholders. You navigate conversations skillfully, and care about people using what you build.</li><li>
High ownership mindset. You jump in without instruction, embrace a &quot;no job too big, no job too small&quot; mindset, and want to shape strategy and culture.</li><li>
Low ego, high integrity. You help others and ask for help. You hold a high bar for honesty&ndash;with yourself and your team.</li></ul><h2 class="jobSectionHeader">
Our Engineering Philosophy</h2>
We're opinionated about what works in production, and we write about it &mdash; from why most eval setups fail by collapsing everything into a single score, to why defaulting to chat interfaces limits AI's impact.
We have a distinct approach to building AI systems: applying standard software engineering discipline to the non-deterministic world of frontier AI. We design systems around testable hypotheses, curate durable data sets, and ensure what we ship keeps working long after we've handed it over.
After shipping 30+ AI products, we have strong opinions on what makes AI products succeed and how to get them into production. We think you'll find it refreshing if you've seen how most companies approach AI.<h2 class="jobSectionHeader">
How Fractional Is Different</h2>
A typical engineer here ships two to three products per year and learns from dozens more. You have outsized autonomy on each product &mdash; but you won't have a year to polish a single system. The upside is constant time on the frontier of models and tooling, and a muscle for AI product development that's hard to build anywhere else.
Most engineers look back at this as the biggest growth period of their career. But it's possible you won't like it &mdash; we recommend using the interview process to hear what our engineers think.<h2 class="jobSectionHeader">
Our Values</h2><ul><li>
Overdeliver: We are writing the playbook on how to create enterprise value with LLMs, and building our reputation as the world&rsquo;s best applied AI team.</li><li>
Overuse AI: We go out of our way to experiment with the latest tools and share what we learn with our teammates - building a culture at the frontier.</li><li>
Over &quot;engineer&quot; the culture: For every big decision, we ask &ldquo;would this make Fractional a better or worse place for our team?&rdquo;</li></ul>
Location
San Francisco, CA
Work Arrangement: 4 days in-person, Fridays remote<h1 class="jobSectionHeader">
Benefits</h1><ul><li>
Competitive Compensation Package: Attractive salary aligned with your experience and skills.</li><li>
401k with Matching: Invest in your future with our company-matched retirement plan.</li><li>
Unlimited PTO: Take the time you need to relax and rejuvenate.</li><li>
Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy.</li><li>
Health FSA: Manage out-of-pocket health expenses effectively.</li><li>
Commuter Benefits: Make your travel to work easier and more affordable.</li><li>
Life Insurance: Providing peace of mind for you and your loved ones.</li><li>
Team Events and Activities: Regular events to build camaraderie and a strong team spirit.</li></ul><h1 class="jobSectionHeader">
Ready to join us?</h1>
Compensation Range: $160K - $220K</div>

Software Engineer (SF)

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
The CRM Database Sustaining Engineering Team deploys and manages some of the world's most trusted databases. Our customers rely on us to keep their data safe and highly available. 
 
About the Role
 
We're looking for a seasoned DevOps Database Engineer who thrives at the intersection of database engineering, modern cloud infrastructure, and applied AI. You'll own the reliability, performance, and scalability of our database systems while leveraging AI/ML tools to drive automation, intelligent monitoring, and DevOps best practices across a large-scale, mission-critical environment.
Requirements
<ul><li>Bachelor's degree in Computer Science, Engineering, or equivalent practical experience, with **10+ years** of hands-on experience as a Database Engineer, DBA, or similar role.
</li><li>Advanced proficiency in at least one scripting language (Python, Ruby, Java, Perl, or C++), with deep expertise in **Oracle and PostgreSQL** performance tuning and schema design.
</li><li>Hands-on experience with CI/CD tooling **(Jenkins, Spinnaker, Helm, GIT)**, containerization **(Docker, Kubernetes/EKS/GKE)**, and Infrastructure as Code **(Terraform)**.
</li><li>Solid understanding of NoSQL, distributed systems, and big data ecosystems such as **Hadoop, HDFS, and Apache Zookeeper**.
</li><li>Familiarity with AI/ML frameworks and experience integrating machine learning models with database and data pipeline workflows.
</li><li>Experience working with vector databases **(pgvector or equivalent)** and supporting AI-driven applications and LLM-based workloads at scale.
</li><li>Proven ability to support **24x7x365** mission-critical database infrastructure, including Production Incident Management and root cause analysis.
</li><li>Strong communicator with a proactive, detail-oriented mindset and the ability to thrive in a fast-paced, large-scale cloud environment.
</li></ul>Preferred Qualifications
<ul><li>Cloud deployment experience on AWS (EKS, RDS, or equivalent managed services)and familiarity with Apache Bookkeeper.
</li><li>Experience with AI-powered observability and monitoring tools such as Grafana, Splunk, or AIOps platforms for anomaly detection and predictive alerting.
</li><li>Hands-on experience using AI/ML tools for **automated query optimization**, capacity planning, or intelligent incident response.
</li><li>Exposure to data engineering for AI pipelines including eature stores, embedding generation, and ETL workflows for model training datasets.
</li><li>Agile/Scrum methodology and full SDLC exposure, from requirements gathering through operational support.
</li><li>Demonstrated ability to drive automation initiatives and deliver innovation from concept to production.
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $148,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $285,800 annually.&amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div>

Database DevOps Engineer

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