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Job Description About Fractional AI Fractional AI builds bespoke gen AI software to transform businesses. Every C-suite in the country is trying to bridge the gap between AI in theory and AI in practice. We close this gap with exceptional engineering talent and custom end-to-end AI builds (see some of our case studies to learn more). We’re a San Francisco and NYC-based, engineering-first startup that’s profitable—with over 100% quarter-over-quarter revenue growth—and we’re just getting started. About the role Our talent is our product. Customers choose Fractional AI because we offer elite engineering expertise to build tailored gen AI solutions. As an early member of our talent acquisition team, you will be at the forefront of attracting, evaluating, and building our team, shaping our recruitment process for the next 100+ hires. What you’ll do: * Source talent: From outbound email campaigns to in-person events, you’ll leave no rock unturned to identify the best full-stack engineers to join Fractional AI. * Partner with candidates through the recruitment cycle: From the first phone call through the offer extension, negotiation, and every step in between, you seek to deeply understand candidates, their motivations, and how they can uplevel our team. * Drive an exceptional recruiting process: You’ll drive a recruiting process that is inclusive, AI-augmented, data-driven, and committed to an exceptional candidate experience. * Shape our employer brand: You’ll be a key ambassador for Fractional AI, our business, and our team. You’ll shape how we market and attract top engineering talent. What you bring to the table: * Demonstrated excellence: Proven success hiring Staff, Principal, and Senior Engineers at early stage companies. * Empathy. You are quick to understand and relate to others. You seamlessly build trusted relationships – with candidates, hiring managers, interviewers. * Data-driven problem-solving skills. You consistently run experiments, measuring new approaches to reach your goals. You consistently leverage data to drive decision making. * Track record of building inclusive recruiting infrastructure. You design equitable, exceptional hiring processes that identify top talent. * Technical fluency. You understand the nuances of different engineering skill sets and how they match the needs of the team (e.g., what is Kubernetes? What is React?). * Unrelenting reliability. Balls don’t drop on your watch. You balance an attention to detail with an awareness of the big picture to get things done. * Obsession with building leverage. If you have to do the same thing twice, you look for a way to automate. You default to using AI to augment your effectiveness. Why you should (and shouldn’t) join us We believe in transparency and know joining a company is a big decision. We’re not the best fit for everyone and try to be clear on what we are and what we’re not so you make the choice that’s right for you. Why join Fractional? * Incredible momentum with veteran founders: we’re profitable, with >100% quarter over quarter revenue growth, and on track to 4x the team this year. We’re led by multi-time founders with multiple exits under their belts. * A front-row seat to the AI revolution: Getting AI into production is the challenge of our time, and Fractional AI is the go-to applied AI engineering team for top companies, giving you unparalleled access to how AI is changing the world. * Greenspace to build: You’re getting in on the ground floor with unparalleled opportunity for impact. We have a high autonomy culture, giving you the space to play to your strengths. Why shouldn't you join Fractional? * We are unapologetically building an engineering-first culture – this is how we build the team to meet the moment. We overdeliver for our clients by crafting a culture that enables the best engineers to thrive. * We hold a very high bar. This is a perfect role if you’re motivated by challenge. We’re looking for the top 1% of engineers in SF and NYC, and we won’t compromise that bar, ever. * We’re a team of doers. For the right person, this is a pro, not a con, but this is a hands-on "build what you need" role. Snapshot of your first 30 days: * Review our current engineering roles and hiring process. * Jump into outbound sourcing – from experimenting with outbound email campaigns to joining in-person AI meetups. * Collaborate with the team to brainstorm and implement improvement to our hiring process. * Bring candidates to technical screens and onsites. Extend your first offer. * Engage with all things life at Fractional AI - AI lunch and learns, monthly happy hours, AI project shares. Our Values We overdeliver. We overuse AI. We “over engineer” the culture. Location San Francisco, CA or New York City, NY (4 days in-person, Fridays remote) Benefits 🏦 Competitive Compensation Package: Attractive salary aligned with your experience and skills. 📈 401k with Matching: Invest in your future with our company-matched retirement plan. 🌴 Unlimited PTO: Take the time you need to relax and rejuvenate. 🏥 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy. 🚑 Health FSA: Manage out-of-pocket health expenses effectively. 🚌 Commuter Benefits: Make your travel to work easier and more affordable. 🏥 Life Insurance: Providing peace of mind for you and your loved ones. 🎉 Team Events and Activities: Regular events to build camaraderie and a strong team spirit. Ready to join us?

Lead Software Engineer, Full Stack (React, Scala). Utilize programming languages like Scala, JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.

The ideal candidate has 6+ years of relevant experience in platform automation and infrastructure, and possesses knowledge in multiple backend programming languages.

Senior Software Engineer, Full Stack (JavaScript, Node). Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services. J

The ideal candidate will have extensive experience in Kubernetes operations and cloud infrastructure automation, contributing to building internal systems that enhance mental healthcare.

Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services. Incentives could be discretionary or non discretionary dep

This team develops and maintains tools that allow engineers to work efficiently with AWS, Kubernetes, and other services while promoting best practices and enforcing standards. This position primarily collaborates with application engineers. If your interests lean more toward data, machine learning,

Kubernetes Site Reliability Engineer (SRE) Citadel is seeking a Kubernetes Site Reliability Engineer (SRE) to join our central Compute team that is evolving the compute platform for the firm. The ideal candidate has experience working in high performance environments and has worked on the Kubernetes

They’re currently hiring a DevOps Engineer II to help scale and automate their infrastructure using technologies like AWS, Kubernetes (EKS), Terraform, and GitHub Actions. This client is looking for a skilled DevOps Engineer who thrives on automation, scalability, and operational excellence. DevOp

Senior Software Engineer (Python, React, AWS). Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services. JavaScript,

Senior Software Engineer, Full Stack (Python, AWS, React). Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.

A leading global professional services firm seeks a Senior Software Engineer to oversee project teams delivering software solutions.The role requires extensive experience in software engineering, including expertise in Kubernetes, Docker, and CI/CD pipelines.Ideal candidates must possess advanced te

Strong knowledge of the Amazon Web Services (AWS) ecosystem and other core AWS technologies, ElasticSearch Service, RDS, WAF, CloudFront, Kubernetes, etc. Taskrabbit is looking for an experienced Senior Cloud Infrastructure Engineer to drive the next phase of our Platform Modernization (“PlatMod��

A leading home service platform is seeking a Senior Cloud Infrastructure Engineer to modernize infrastructure from scratch. The ideal candidate will have at least 5 years of experience in infrastructure, expertise in AWS, and a passion for solving complex problems.

This role requires deep expertise in AWS, Kubernetes, and database performance.

Lead build out of industry-leading AI clusters (thousands to hundreds of thousands of machines), partnering with cloud service providers on cluster build out and features. Possess deep knowledge of modern cloud infrastructure including Kubernetes, Infrastructure as Code, AWS, and GCP.

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do • Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases, • Deploy and operate the core ML inference workloads for our AI Voices serving pipeline, • Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models, • Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issuesAn Ideal Candidate Should Have, • Experience shipping Python-based services, • Experience being responsible for the successful operation of a critical production service, • Experience with public cloud environments, GCP preferred, • Experience with Infrastructure such as Code, Docker, and containerized deployments., • Preferred: Experience deploying high-availability applications on Kubernetes., • A dynamic environment where your contributions shape the company and its products, • A team that values innovation, intuition, and drive, • Autonomy, fostering focus and creativity, • The opportunity to have a significant impact in a revolutionary industry, • Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture, • The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the Role: As the Cloud Platform; Production Engineer – Team Lead, you will be at the heart of CoreWeave's cloud infrastructure stability and reliability. This senior generalist role is designed to provide strategic direction, operational continuity, and technical expertise across various facets of our platform. You will act as a bridge between engineering reliability and broader technical and organizational goals, ensuring a seamless connection between incident response, platform reliability, and team development. You will be responsible for guiding the team's response to critical incidents, tracking performance against Service Level Objectives (SLOs), and driving improvements that enhance both operational readiness and reliability across the organization. Your leadership will go beyond the immediate tactical resolution of incidents, ensuring that we continuously evolve our processes, communication, and training to support ongoing operational excellence. The Cloud Platform; Production Engineer Team Lead will reduce ambiguity, provide clarity, and keep reliability at the forefront of decision-making. Key Responsibilities: Incident Management & Recovery: • Act as the Incident Commander during incidents, providing decisive leadership to ensure timely and effective resolution while minimizing impact., • Coordinate cross-functional teams, including engineering, operations, and customer-facing units, during incidents, ensuring clear communication at all stages., • Lead root cause analysis (RCA) efforts, working with engineering teams to implement long-term, sustainable solutions and prevent recurrence., • Own and refine the post-incident review (PIR) process, ensuring actionable outcomes and continuous learning across the team., • Oversee the creation and maintenance of incident response playbooks to ensure team readiness for diverse failure scenarios., • Define and track Service Level Objectives (SLOs) and ensure alignment with business goals and team objectives., • Champion the use of SLOs to guide incident prioritization, drive improvements, and communicate reliability outcomes., • Identify and lead initiatives to improve system resilience, scalability, and disaster recovery capabilities across the platform., • Develop and optimize KPIs, SLAs, and performance metrics for incident management and operational efficiency., • Spearhead the implementation of automation strategies to reduce Mean Time to Detection (MTTD) and Mean Time to Recovery (MTTR), while increasing overall platform reliability. Team Development & Mentorship: • Lead the development of the team by training and mentoring Production Engineer I/II in incident management best practices, tools, and systems., • Foster a collaborative environment where knowledge sharing, continuous learning, and feedback are prioritized., • Support the creation and evolution of team processes, ensuring scalability and the ability to respond effectively to both current and future needs. Minimun Qualifications • 4+ years of experience in production engineering, cloud operations, site reliability engineering (SRE), or incident response roles., • Deep knowledge of cloud platforms (e.g., Kubernetes-based infrastructure, AWS, GCP)., • Strong familiarity with incident management frameworks such as ITIL and SRE best practices., • Proficiency with monitoring and alerting tools (e.g., Prometheus, Grafana) and strong understanding of observability principles., • Hands-on experience with automation, scripting, and configuration management tools (e.g., Python, Bash, Terraform)., • Demonstrated ability to make critical decisions under pressure, guiding teams through high-stakes incident resolution., • Excellent communication skills, with the ability to translate complex technical issues for both technical and non-technical stakeholders., • Proven experience mentoring and coaching technical teams, driving a culture of growth and continuous improvement., • Applicants must have work authorization that does not require sponsorship from the company now or in the future.Preferred Qualifications:, • Previous experience in an Incident Commander role, managing high-priority incidents and major service restorations., • Advanced knowledge of Kubernetes, containerization, and distributed systems., • Familiarity with change management processes, post-incident analysis techniques, and runbook automation. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Together, we are changing the world's relationship with financial services. At Kunai, we help our clients modernize, capitalize on emerging trends, and evolve their business for the coming decades by remaining tech-agnostic and human-centered. As an L2 Software Support Engineer, you will be a cornerstone of the support organization, ensuring our customers receive expert-level service for a mission-critical data security product. This is a highly technical, hands-on role focused on advanced troubleshooting, incident response, and problem management. You will serve as a specialized escalation point, taking ownership of complex customer issues that require deep technical analysis. This role is ideal for a technical problem-solver who thrives on diagnosing and resolving complex issues across cloud infrastructure, networking, and data systems, while also helping to build a scalable, enterprise-grade support function from the ground up. Required Experience: • Bachelor's degree in Computer Science, Engineering, or Information Technology, • At least 4 years of experience in technical support, systems administration, software engineering, or solutions architecture, • At least 3 years of experience in technical operations related to infrastructure architecture, database architecture, and Data Security, • At least 3 years of experience with public cloud platforms (AWS strongly preferred, including services like EC2,C2, S3, IAM, and Lambda, DynamoDB and API Gateway), • At least 2 years of experience utilizing modern cloud-based data warehousing and processing platforms, including Snowflake and Databricks, • Experience with JIRA, Salesforce, Slack and PagerDuty, • Experience with Java Script/Java/Typescript, • Experience with databases such as SQL, NoSQL We are proud to offer our employees a range of benefits, including competitive compensation, professional development opportunities, and flexible work arrangements, all designed to help them thrive. As we continue to expand, we remain committed to cultivating an environment where people feel valued, have a voice, and are given the tools to grow—both personally and professionally—while pushing the boundaries of innovation in the fintech industry. Minimum Degree Required: • Bachelor's Degree, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college is required

Job Description The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data. At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise. Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems. Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we'd love to talk. Job Description: We are seeking a talented Support Engineer to join our team and provide exceptional technical support for our industry-leading data labeling software. As a Support Engineer, you will play a crucial role in ensuring the seamless operation of our platform and assisting our clients in resolving any technical issues they encounter. You will work closely with our product and engineering teams to deliver prompt and effective solutions, contributing to the overall success of our product. As our team scales, this role will play a critical part in advancing our support maturity—improving processes, strengthening our ability to deliver proactive support, and contributing to internal tooling and automation. Responsibilities: • Provide technical support to clients via email and support tickets, addressing inquiries related to the installation, configuration, and usage of Label Studio., • Diagnose and troubleshoot software issues reported by clients, utilizing debugging tools and logs to identify root causes and implement timely resolutions., • Collaborate closely with Product, Engineering, and Customer Success to drive issue resolution., • Create internal and external documentation to improve support quality and self-service., • Proactively identify opportunities for process improvements and contribute to the continuous enhancement of our support procedures and workflows., • 3–5 years in technical support or support engineering for a SaaS or developer-focused product., • Strong debugging skills across cloud environments, APIs, browser issues, and containerized systems., • Proficiency in Python or Javascript programming language for scripting and automation tasks., • Strong understanding of cloud computing platforms, particularly AWS (Amazon Web Services), including services such as EC2, S3, Lambda, and IAM., • Familiarity with machine learning concepts and frameworks, with experience working with ML models preferred., • Excellent problem-solving skills and ability to analyze complex technical issues., • Exceptional communication skills, both written and verbal, with a customer-centric approach., • Ability to thrive in a fast-paced environment, managing multiple priorities effectively and meeting tight deadlines., • Experience with Kubernetes, container orchestration, or infrastructure debugging., • Knowledge of ML/AI workflows or data labeling pipelines., • Familiarity with Agile development methodologies.