software engineer

ai engineer

senior software engineer

platform engineer

ai software engineer

ai software developer

Findrs

<div>
 
 Forward Deployed Engineer | AI
 
 
 
 
 
 You can write good software.
 
 
 
 
 
 But can you walk into a business, understand a problem that nobody has properly defined yet, work out where AI can genuinely make a difference, and then build the thing?
 
 
 
 
 
 Because that&rsquo;s what this role is really about.
 
 
 
 
 
 You&rsquo;ll join a fast-growing AI engineering company that embeds small technical teams directly inside its clients.
 
 
 
 
 
 You won&rsquo;t spend months working from a perfectly written product specification.
 
 
 
 
 
 Instead, you&rsquo;ll sit close to founders, operators and senior stakeholders, understand how their business actually works, identify where technology can create leverage, and turn ambiguous problems into production AI systems.
 
 
 
 
 
 You&rsquo;ll own the outcome from beginning to end.
 
 
 
 
 
 
 What will you actually be doing?
 
 
 
 
 
 
 You&rsquo;ll act as the technical lead on client projects.
 
 
 
 
 
 That means you could be:
 
 <ul>
 <li>
 Sitting with a founder trying to understand why a critical internal workflow takes three days.
 </li>
 <li>
 Working out whether AI is actually the right answer.
 </li>
 <li>
 Designing the architecture for a new system.
 </li>
 <li>
 Building integrations, evaluations and deployment infrastructure.
 </li>
 <li>
 Shipping an initial version quickly.
 </li>
 <li>
 Watching how real users interact with it.
 </li>
 <li>
 Iterating until it genuinely solves the problem.
 </li>
 </ul>
 
 
 
 
 You&rsquo;ll be expected to move comfortably between engineering and communication.
 
 
 One minute you might be deep in the codebase.
 
 
 
 
 
 The next, you&rsquo;ll be explaining to a non-technical stakeholder what you&rsquo;ve built, why you&rsquo;ve built it that way, and what needs to happen next.
 
 
 
 
 
 You won&rsquo;t simply receive tickets.
 
 
 
 
 
 You&rsquo;ll help decide what the tickets should be.
 
 
 
 
 
 
 This could suit you if&hellip;
 
 
 
 
 
 
 You&rsquo;re an engineer who likes building things more than talking about building things.
 
 
 
 
 
 You&rsquo;re already experimenting with frontier AI models and tooling because you&rsquo;re genuinely curious about what they can do.
 
 
 
 
 
 You understand that models are powerful, but you also understand their limitations.
 
 
 
 
 
 You probably have side projects, prototypes, products or experiments sitting in your GitHub that nobody asked you to build.
 
 
 
 
 
 You enjoy starting with a blank page.
 
 
 
 
 
 You&rsquo;re comfortable making decisions without having every requirement defined for you.
 
 
 
 
 
 And importantly, you can talk to people.
 
 
 
 
 
 You don&rsquo;t need a Product Manager translating every conversation between you and the client.
 
 
 
 
 
 You&rsquo;re happy sitting in a room with founders or senior operators, asking intelligent questions and turning what you hear into something that works.
 
 
 
 
 
 
 Your background
 
 
 
 You&rsquo;ll need a strong grounding in software engineering and be comfortable operating across the full development lifecycle.
 
 
 You might already be an AI Engineer, Software Engineer, Founding Engineer, Solutions Engineer or Forward Deployed Engineer.
 
 
 Your exact title matters less than what you&rsquo;ve actually built.
 
 
 Having created something yourself is a major advantage.
 
 
 
 That could be:
 
 
 <ul>
 <li>
 A startup.
 </li>
 <li>
 A software product.
 </li>
 <li>
 An AI model or application.
 </li>
 <li>
 A consultancy.
 </li>
 <li>
 An open-source project.
 </li>
 <li>
 A side project with real users.
 </li>
 </ul>
 
 
 
 
 What matters is that you know what it feels like to take something from an idea to something people actually use.
 
 
 
 
 
 
 Why join?
 
 
 
 Because you&rsquo;ll get exposure to a range of genuinely difficult AI problems rather than spending years maintaining one narrow product area.
 
 
 
 
 
 You&rsquo;ll work directly with clients.
 
 
 
 
 
 You&rsquo;ll have significant autonomy.
 
 
 
 
 
 You&rsquo;ll ship quickly.
 
 
 
 
 
 And you&rsquo;ll see the systems you build being used in real businesses, rather than disappearing into an endless backlog.
 
 
 
 
 
 This is a remote-first position, although you&rsquo;ll need to be comfortable travelling into London for client meetings and on-site work when required.
 
 
 
 
 
 If you want a role where you&rsquo;re given a tightly defined specification and told exactly what to build, this probably isn&rsquo;t it.
 
 
 
 
 
 If you want to be the person who figures out what should be built in the first place, then builds it, this could be a very good fit.
 
 
 
 
 
 Apply now and tell us about the most interesting thing you&rsquo;ve built.
 
</div>

Forward Deployed Engineer

Sharegain

<div>
 
 
 About Us
 
 
 
 Sharegain began with one question: If the largest institutions solely exercise the right to lend their stocks, bonds, and ETFs, what would it take to unlock this revenue opportunity for every investor?
 
 
 Our team of experts in the UK, US and Israel built the solution: a platform that empowers online brokers, private banks, and wealth managers to offer securities lending to their clients. We call it SLaaS: Securities Lending as a Service. It&rsquo;s a fully digital, customizable, end-to-end solution that automates front- and back-office operations. Institutions and investors are now free to earn more from what they own.
 
 
 Every Sharegainer has their own backstory, but we all share an ambition to do things differently &ndash; bigger, better, and greater. Together we&rsquo;re on a mission to democratize capital markets by building a more liquid world. The more we share, the more we all gain.
 
 
 
 About The Role
 
 
 
 We are looking for an experienced AI Engineer to join our R&amp;D team. You will be delivering scalable web applications from idea to production, taking care of all aspects of software development &ndash; from technologies and security to scalability and reliability.
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 End-to-end ownership of AI &amp; agent systems: take full ownership of your features from architecture and design through to implementation and production, including AI-native features such as autonomous agents and intelligent workflows. Own the full model quality lifecycle from experimentation through to production monitoring and improvement.
 </li>
 <li>
 Cloud infrastructure: be part of the design, maintenance, monitoring, and troubleshooting of our cloud applications.
 </li>
 <li>
 Technical excellence: drive technical excellence, high product quality, innovation, and timely delivery in a production-critical environment.
 </li>
 <li>
 Translate business needs into concrete system architecture and implement it end-to-end across the stack
 </li>
 </ul>
 
 
 Requirements
 
 
 <ul>
 <li>
 6+ years of software development experience
 </li>
 <li>
 Proven LLM experience: write, optimize, and measure the effectiveness of AI prompts and applications. Rapidly experiment with models, prompts, and architectures using structured evaluation to identify the best solutions, and translate cutting-edge LLM capabilities into reliable, production-grade systems.
 </li>
 <li>
 Strong software engineering fundamentals: SOLID, TDD, version control systems (Git/GitHub/GitLab), and the ability to write production-ready code
 </li>
 <li>
 Deep understanding of Computer Science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance
 </li>
 <li>
 Familiarity with software architecture patterns such as microservices, CQRS, and event sourcing
 </li>
 <li>
 Experience with at least one major cloud provider (AWS, Azure, or GCP)
 </li>
 <li>
 Experience with Kubernetes and Docker containers
 </li>
 <li>
 Experience designing and building microservices architecture
 </li>
 <li>
 A team player with a positive attitude and a problem-solver mindset
 </li>
 </ul>
</div>

AI Software Engineer

BlueOptima

<div>Company Description 
BlueOptima gives CIOs, CTOs and CFOs objective, code-level visibility into software productivity, AI ROI, and engineering cost. This is a problem that until recently could not be measured at all. With AI-generated code now flowing into enterprise codebases at scale, that measurement gap has become a board-level priority.
10B+ code revisions analysed &middot; 800,000+ developers on platform &middot; 9 of the top 16 universal banks
The business is profitable, bootstrapped, and 20 years deep in enterprise relationships. You are joining a sales organisation that is mid-build. The foundations are in place, the product has genuine enterprise traction, and there is real room to grow fast.
Buyers are CIOs, CTOs, VP Engineering and CFO stakeholders at large software engineering organisations. The conversation is about developer productivity, engineering cost, and AI ROI. These are budget-backed problems that sit at the top of the technology agenda right now. You are not convincing anyone the problem exists. 
Job Description 
You will lead a team of Account Executives working on enterprise accounts across the UK and EMEA, with deal sizes typically in the &pound;100k to &pound;200k ARR range. You will be cultivating a culture of success and continuous improvement through your coaching. Your leadership will guide the team through complex sales cycles and ambitious growth targets.
You will use sales data and team performance metrics to identify opportunities for improvement. Implement actionable insights to enhance sales tactics and team productivity, leveraging coaching frameworks to work side by side with your team members.
You will work in close partnership with Marketing and SDR leadership to identify new pipeline generation opportunities, and with Customer Success leadership to surface expansion opportunities within the install base. 
Qualifications 
Required<ul><li>
Enterprise SaaS sales leadership: At least 3 years managing sales teams closing complex enterprise deals in the &pound;100k to &pound;200k+ ARR range.</li><li>
Engineering domain experience: Direct experience selling into software engineering organisations is required. This means you have sold developer tooling, engineering analytics, observability, SDLC platforms, or similar products and can hold a credible technical conversation with VP Engineering and CTO buyers without leaning on a solutions engineer. You do not need to have been a developer, but you do need to understand how software gets built.</li><li>
Executive-level selling: Comfortable engaging CIO, CTO, VP Engineering and CFO buyers. You can hold the room with credibility and navigate multi-stakeholder deal structures.</li><li>
Hands-on coaching style: Demonstrated ability to develop your team through direct involvement in sales activities, including joint calls and co-selling, to ensure team members reach their potential.</li><li>
Data-driven decision making: Highly analytical, you leverage pipeline and performance data to make informed decisions and adapt quickly to capitalise on new opportunities.</li><li>
Structured sales methodology: Exposure to value-based selling methodologies and the MEDDPICC discovery framework in multi-stakeholder environments.</li></ul>
Valued<ul><li>
Experience with AI products, AI governance, or engineering productivity measurement.</li><li>
Background in land-and-expand motions within large enterprise accounts.</li><li>
Open to using AI to amplify your own skills and strengthen your work, demonstrating curiosity, willingness to learn, and sound judgement in applying AI responsibly to improve efficiency and impact.</li></ul> 

Additional Information 
Why This Role Makes Sense Right Now 
AI governance and engineering ROI measurement have moved from nice-to-have to board priority in the last 18 months. The buyers are funded, the problem is urgent, and BlueOptima is one of the very few companies with a production-grade answer. For a sales leader who wants to work with a team closing real enterprise deals, not chasing SMB volume, the timing is good.
Where This Leads 
The natural progression from this role is into second-line leadership. That path is defined and is based on performance and the growth of the company, not tenure.
Benefits we offer<ul><li>
London HQ, 3 days in office, 2 remote</li><li>
32 days holiday including bank holidays</li><li>
12 weeks paid maternity and paternity leave</li><li>
4 weeks per year flexible remote working from anywhere</li><li>
Annual leave purchase up to 10 extra days</li><li>
Work from home equipment allowance</li><li>
Pet friendly office</li><li>
Sponsored learning opportunities</li><li>
Cycle to work scheme</li><li>
Team socials</li></ul><div></div>
Stay connected with us on LinkedIn or keep an eye on our career page for future opportunities!</div>

Sales Manager, Revenue Generation - EMEA

JPMorganChase

<div>JOB DESCRIPTION 
 
 
Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment.
As a Platform Engineer at JPMorgan Chase within the Accelerator Business Platform Team, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution-oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects &ndash; and depending on your strengths and interests, you'll have the opportunity to move between them.
While we're looking for professional skills, culture is just as important to us. We understand that everyone's unique &ndash; and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference &ndash; on us as a company, and on our clients and business partners around the world
Job responsibilities<ul><li>
Develops secure high-quality production code, and reviews and debugs code written by others</li><li>
Develops composable infrastructure systems and capabilities</li><li>
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems</li><li>
Provide operational support for production systems in a &ldquo;you-build-it-you-run-it&rdquo; culture, including incident response and continuous reliability improvements.</li><li>
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture</li><li>
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies</li><li>
Adds to team culture of diversity, equity, inclusion, and respect</li><li>
Designs, builds, and operates Kubernetes-based platform services, automates developer self-service and CI/CD, improves reliability and operational readiness, and strengthens platform security and controls via IaC, policy-as-code, and hardening standards.</li><li>
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.</li><li>
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.</li></ul> 
Required qualifications, capabilities, and skills<ul><li>
Formal training or certification on software engineering concepts, such as Certified Kubernetes Application Developer (CKAD), Google Associate Cloud Engineer Certification, or AWS Certified Solutions Architect</li><li>
Hands-on practical experience delivering system design, application development, testing, and operational stability</li><li>
Advanced in one or more programming language(s), such as Go, Java or Kotlin
</li><li>Advanced understanding of agile methodologies, CI/CD, application resiliency, and security</li><li>
Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, artificial intelligence, machine learning, mobile, etc.</li><li>
Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services, or Microsoft Azure</li><li>
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.</li>
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices 
<li>
</li></ul> 
 
Preferred qualifications, capabilities, and skills<ul><li>
Expertise in the Kubernetes operator pattern</li><li>
Expertise deploying infrastructure as code, using Crossplane, Terraform, or equivalent</li><li>
Experience with GitOps workflows</li></ul>
#ICBCareer #ICBEngineering
ABOUT US
 
 
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. 
</div></div> 
 
ABOUT THE TEAM
 
 
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.</div>

Lead Software Engineer - Cloud Platform Engineering

Clearwater Analytics (CWAN)

<div>Job Summary: 
We are seeking a skilled and motivated Senior Software Engineer to join our dynamic team at CWAN. The role joins our Beacon Core Engineering team. The Core team develops large part of Beacon Cloud, just above the Platform abstraction. It deals with the developer tools (SDLC) that we offer to clients and use internally - IDE including Cline integration, Code Review, Test Framework, Release process; also runtime execution - batch scheduler, super computer scheduler, containerization, coding libraries - dependency graph and deal model used by the financial layer and clients directly.
In this role, you will be responsible for designing, building, deploying, and maintaining high-quality code while collaborating with cross-functional teams to enhance our software offerings. This position is ideal for an engineer who is driven by client satisfaction and has a strong commitment to continuous learning and improvement. We use AI agents to speed up development safely and at same time help clients achieve the same. 
Responsibilities<ul><li>
Design, build, deploy, and maintain quality code that is simple, well-structured, clear, and well-tested.</li><li>
Use AI agents to speed up development and advise others how to use them safely, both clients and internally.</li><li>
Break down and solve complex problems efficiently, utilizing research and collaboration as needed.</li><li>
Communicate effectively across various mediums, with different audiences, and at appropriate times.</li><li>
Implement and maintain multiple levels of automated testing (e.g., unit, integration, contract, end-to-end).</li><li>
Mentor new and less-experienced team members, sharing knowledge and best practices.</li><li>
Lead design and feature discussions, advocating for enhancements in software performance, scalability, reliability, and security.</li><li>
Coordinate with cross-functional teams to ensure successful integration of software applications.</li><li>
Troubleshoot and resolve production incidents promptly and effectively.</li><li>
Understand customer needs and address issues with empathy and a sense of urgency.</li><li>
Undertake any other reasonable activities required by management.</li></ul> 
Required Skills<ul><li>
Excellent proficiency in Python</li><li>
Experience with TypeScript or Javascript, and Rust would be a strong plus</li><li>
Familiarity with C++ is a plus.</li><li>
Experience in Financial domain is a plus.</li><li>
Strong command of a typed, object-oriented programming language.</li><li>
Deep knowledge of software methodologies, tools, and common architectural patterns.</li><li>
Passion for working in a software-as-a-service environment.</li><li>
Strong focus on client satisfaction and user experience.</li><li>
Excellent teamwork and collaboration skills.</li><li>
Ability to manage time effectively and deliver results within deadlines.</li><li>
Commitment to continuous learning and professional development.</li><li>
Exceptional analytical and problem-solving skills.</li><li>
Proficient in Microsoft Office and other essential computer applications.</li><li>
Attention to detail and strong documentation capabilities.</li><li>
Outstanding verbal and written communication skills.</li><li>
Strong organizational and interpersonal skills.</li></ul> 
Education and Experience:<ul><li>
Degree in Computer Science or related field.</li><li>
5+ years of software development experience using Python or any other OOP languages.</li></ul></div>

Senior Software Development Engineer

<div>Company Description 
IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters&ndash;at the Moment of Service&trade;. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.
At IFS, we&rsquo;re flexible, we&rsquo;re innovative, and we&rsquo;re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society&rsquo;s greatest challenges, fostering a better future through our agility, collaboration, and trust.
We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.
By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.
We&rsquo;re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.
If you want to change the status quo, we&rsquo;ll help you make your moment. Join Team Purple. Join IFS. 
Job Description 
As a Technical Program Manager, FDE, you will oversee the implementation and long-term sustainment of AI Agent deployments for enterprise customers. You will manage cross-functional delivery programs from pilot through scale-up, ensuring customer success, operational excellence, and continuous improvement post-deployment. This role requires a blend of technical fluency, program management discipline, and stakeholder engagement. You will bridge engineering, product, and customer teams to deliver impactful AI solutions that integrate seamlessly into customer environments.
Program Leadership &amp; Delivery<ul><li>Lead end-to-end implementation programs for AI Agent deployments &ndash; from scoping and planning to go-live and sustainment.</li><li>Develop and execute detailed project plans, timelines, and success metrics aligned to customer goals.</li><li>Oversee multiple concurrent implementations, ensuring on-time, in-scope, and high-quality delivery.</li></ul> 
Implementation &amp; Sustaining Engineering<ul><li>Manage technical onboarding, configuration, and integration activities in partnership with engineering and solution delivery teams.</li><li>Establish repeatable deployment and maintenance processes for AI Agents in production.</li><li>Lead continuous improvement cycles, including performance monitoring, issue resolution, and enhancement rollout.</li></ul> 
Customer &amp; Stakeholder Management<ul><li>Act as the primary liaison between customers, engineering, and product teams during the full lifecycle of AI deployments.</li><li>Translate technical requirements into actionable plans for both customer and internal stakeholders.</li><li>Ensure proactive communication, clear expectations, and a consistently high customer experience.</li></ul> 
Cross-functional Collaboration<ul><li>Partner with Product and Engineering to feed customer insights into the roadmap.</li><li>Support the creation of deployment playbooks, documentation, and best practices for the Implementation &amp; Sustaining Engineering function.</li><li>Collaborate with Customer Success and Support to ensure smooth handoffs and ongoing operational excellence.</li></ul> 
Qualifications 
We are an AI company, so you should approach your work with a growth mindset and look for ways to leverage AI to make faster, smarter decisions.<ul><li>
5&ndash;8 years of experience in program or project management within a technology, software engineering, or AI environment.</li><li>
Proven experience leading complex software implementation or systems integration programs.</li><li>
Strong understanding of the software development lifecycle and AI solution deployment (LLMs, RAG systems, prompt engineering, vector databases, etc.).</li><li>
Proficiency with project planning and collaboration tools (e.g., Jira, Asana, Smartsheet).</li><li>
Technical familiarity with Python, APIs, and enterprise systems (CRM, ERP, Service, or Developer platforms).</li><li>
Exceptional communication skills, able to engage confidently with both executives and engineers.</li><li>
Demonstrated ability to manage competing priorities in fast-moving environments.</li></ul> 
What Success Looks Like in 3-6 Months<ul><li>
Operational Readiness: Establish a standardized implementation framework for AI deployments.</li><li>
Customer Impact: Successfully deliver at least one full-cycle enterprise deployment demonstrating measurable business outcomes.</li><li>
Cross-functional Trust: Build strong relationships with Product, Engineering, and Customer Success teams.</li><li>
Sustainment Model: Define and implement a scalable sustaining engineering process that ensures uptime, quality, and continuous optimization.</li></ul> 
Additional Information 
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.</div>

Technical Program Manager, FDE - IFS Loops

clickhouse

<div><div><h3 class="jobSectionHeader">About ClickHouse</h3>

Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 4,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.

The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.

We're on a mission to transform how companies use data. Come be a part of our journey!</div>
ClickHouse welcomed Langfuse, the leading open-source platform for tracing, evaluation, and observability, to strengthen its position in the AI infrastructure and LLM observability ecosystem. With ClickHouse and Langufuse scaling to power enterprise AI workloads, we're growing our support team to provide a world-class experience for our expanding customer base, with unified expertise across database infrastructure and AI observability.

We are seeking a Technical Customer Support Engineer to join our global Support Engineering team in a hybrid role spanning both ClickHouse and Langfuse ecosystems. In this position, you will support customers across EMEA and globally in the Americas and APJ when support is needed or coverage overlaps. You'll be handling technical issues and solutions, ranging from core ClickHouse database requests to helping thousands of AI product teams succeed with tracing &amp; evals in Langfuse. You will own a wide array of responsibilities, including front-line troubleshooting, community support, pre- and post-sales technical activities, and partnering on deeply technical POCs, and suggesting improvements to how we do things in Support at ClickHouse.

What You'll Be Doing
<ul>
<li>Supporting and guiding our ClickHouse &amp; Langfuse users, customers, and prospects via cases, chat, Slack, community, and phone calls, delivering high-touch guidance within required Service Level Agreements (SLAs) as part of a global on-call coverage rotation.</li>
<li>Develop solutions based on ClickHouse Cloud and ClickHouse open-source that can be shared with our users, community, and customers via documentation, knowledge base, blogs, meetups, webinars, and training.</li>
<li>Work closely with our global Support Services, Engineering, Go-to-Market, and Product Management teams to help define the functionality required by users and customers.</li>
<li>Assist with mentoring, training, and sharing your knowledge with colleagues, users, and customers.</li>
<li>Escalate bugs to product engineering and close the loop with the customer once shipped.</li>
<li>Go through deep technical integration/implementation questions together with our customers and directly within their codebases.</li>
<li>Build strong, trusted relationships with colleagues, customers, and partners across the developer ecosystem</li>
</ul>
What You Bring

For ClickHouse &amp; Core Infrastructure:
<ul>
<li>Databases &amp; OLAP Systems: Hands-on experience with databases, OLAP, or distributed systems (ClickHouse, SQL engines, or cloud-native SaaS infrastructure).</li>
<li>Systems Fundamentals: Strong software engineering fundamentals (CS, Data Science degree, or comparable hands-on project experience) with comfort reading code, working with data pipelines (e.g., Kafka, Spark), or debugging cloud infrastructure (AWS/GCP/Azure).</li>
<li>Distributed &amp; Operational Rigor: Comfort working in a global, remote-first team aligned to SLA coverage, on-call needs, and async communication.</li>
</ul>
For Langfuse &amp; AI Observability:
<ul>
<li>LLM Tooling &amp; Application Dev: Genuine curiosity for LLM application development with hands-on experience building, debugging, or evaluating LLM-powered products using frameworks like Python, TypeScript, LangChain, LlamaIndex, or Vercel AI SDK.</li>
<li>Tracing, Evals &amp; Developer Tooling: Familiarity with LLM observability/eval tooling, prompt workflows, model provider APIs (OpenAI, Anthropic), or OpenTelemetry-style tracing to unblock AI-product teams.</li>
<li>Technical Support &amp; Communication: Strong written communication across registers. You have concise Slack troubleshooting, clear long-form docs/guides, and a customer-first mindset to unblock engineers.</li>
</ul>
Bonus Points
<ul>
<li>Experience with OSS and open-source technologies, as a user, community member, or contributor</li>
<li>Experience with ClickHouse</li>
<li>Experience with Langfuse specifically, or with LLM observability/eval tooling more broadly.</li>
<li>Experience with AWS, GCP, or Azure.</li>
<li>Experience with data pipeline technologies such as Kafka, Kinesis, Spark, or RabbitMQ.</li>
</ul><div><h3 class="jobSectionHeader">Compensation</h3>

For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed.

These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments.

An individual's placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization.

If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com.
<h3 class="jobSectionHeader">
Perks</h3>
<ul><li>Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries.</li>
<li>Healthcare - Employer contributions towards your healthcare.</li>
<li>Equity in the company - Every new team member who joins our company receives stock options.</li>
<li>Time off - Flexible time off in the US, generous entitlement in other countries.</li>
<li>A $500 Home office setup if you're a remote employee.</li>
<li>Global Gatherings &ndash; We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.</li>
</ul>
Culture - We All Shape It

As part of a rapidly scaling start up, you will be instrumental in shaping our culture.

Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what's happening at ClickHouse.

Equal Opportunity &amp; Privacy

ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Please see here for our Privacy Statement.</div></div>

Technical Customer Support Engineer, AI Infrastructure & Observability - EMEA

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