
Bunch · Spain
bunch is building the backbone of private markets. We are enabling next-gen fund operations with one integrated system that combines secure data infrastructure,...
bunch is building the backbone of private markets. We are enabling next-gen fund operations with one integrated system that
combines secure data infrastructure, AI-powered workflows and expert fund services. If you value ownership, growth through real
responsibility, and working with a thoughtful, ambitious team, this role might be for you.
We are seeking a Senior Platform Engineer to design, build, and maintain the infrastructure and automation that power our
applications. In this role, you will combine the speed and reliability focus of DevOps with the architectural depth of Platform
Engineering, ensuring that our development teams can deliver high-quality software quickly, securely, and at scale.
You will be responsible for designing infrastructure, implementing automation, ensuring platform reliability, and guiding the
evolution of our delivery pipelines and cloud environments. This is a highly collaborative position that bridges operations,
development, and security.
We strive to keep our technology stack as simple and efficient as possible.
market
you’re searching for
including collaboration, ownership, self-awareness, and quality standards.
We will send a task and give you a few days to work on it (the actual hands-on work should not take more than 3-4 hours).
approaches.
About bunch
bunch is building the operating infrastructure for the next generation of private markets. We combine AI-powered automation with
deep regulatory expertise to replace fragmented spreadsheets and manual processes with one integrated platform across the fund
lifecycle, purpose-built for private markets heading toward $32 trillion in Assets Under Management.
We've 4x our ARR in 2025, crossed 150 fund managers and 12,000 LPs on the platform, and just closed our $35M Series B in May 2026.
We're looking for ambitious people who want real ownership of hard problems, and who care about building infrastructure that
actually matters to the people using it.
At bunch, we're committed to an inclusive environment where diversity is valued and celebrated. We provide equal opportunities to
all qualified applicants.
We process personal data in line with applicable laws (including GDPR). See our Privacy Policy for details on your rights and how
to reach us.
ABOUT THE ROLE Neurons Lab is hiring a senior AI Enablement Trainer to deliver an AI Adoption Programme for a US mutual fund administration firm (fund formation, governance, regulatory filings, ETF compliance, financial reporting, board reporting). The programme is all-online: half-day workshops delivered weekly across roughly 6–12 weeks on Claude Enterprise and Claude Cowork, with a conservative automation start built around SharePoint-based data flows. This is a client-facing, senior FSI/BFSI positioning — the trainer must credibly match a "Head of BFSI Solutions" profile. A part-time internal AI platform/governance engineer complements the role for Claude Enterprise setup, the governance session, async support, and the SharePoint connector swap. OBJECTIVE Deliver the client AI Adoption Programme end to end — from foundations through function-specific workshops — so that each team leaves with working Claude skills for their real fund-administration workflows and keeps building on their own. AREAS OF RESPONSIBILITY * Adapt the agreed curriculum to real artifacts (fee schedules, deferred comp calcs, N-1A filings, fund highlights, board packs) collected during assessment * Personally deliver the online half-day workshops to a mostly non-technical audience with mixed AI familiarity * Design and run hands-on exercises: build 3 Claude skills live per function workshop using their own documents and SharePoint data flows * Teach the "team extends" method so staff can decompose their own workflows into skills after the workshop * Run 1.5h office-hours sessions (1 week and 1 month post-workshop) and triage questions raised there * Coordinate with the governance/platform engineer so foundations, governance, and function content stay consistent * Collect feedback after each session and adjust the following sessions accordingly * Escalate engineering-grade opportunities to the account team SKILLS * Excellent live facilitation and presentation for non-technical professionals; can hold a 4-hour online session with high engagement * Daily practical fluency with Claude (Enterprise, Cowork, Projects, skills), prompt engineering, and agentic workflows — able to build a working skill live and debug it on the spot * Ability to decompose an expert's workflow (e.g., a fee calculation or filing update) and rebuild it as an AI-assisted process * Clear communication of AI limitations, failure modes, and safe-use practices in a regulated environment * English: fluent, client-facing; comfortable presenting to US audiences KNOWLEDGE * Financial services domain — ideally fund administration / asset management operations: fund accounting, fee calculations, ETF compliance, regulatory filings (N-1A), board/CCO reporting. BFSI experience is mandatory; fund admin specifics are a strong plus * Governance and safe-AI concepts for regulated firms: RBAC, data residency, read-only access, prompt injection * Current AI tooling landscape (Claude ecosystem, MCP/connectors, SharePoint integration patterns at a conceptual level) EXPERIENCE * 5+ years designing and delivering corporate training/workshops (not just conference talks) * Delivered AI/GenAI enablement to business teams in banking, finance, or insurance * Built AI-assisted workflows or skills used in production by non-technical teams * Public-facing credibility (publications, talks, community) supporting "senior FSI AI expert" positioning TERMS Format: project-based / freelance (per engagement) Allocation: ~6 half-day sessions + prep + office hours across 6–12 weeks; est. 0.2–0.3 FTE equivalent Time zone: must overlap US business hours for live delivery (remote, online) Location: remote (EU/US) Start date: September 2026 target (prep from August)
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. WHAT IS THE ROLE: We are on the lookout for a Senior Software Engineer to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience, especially in the context of our Serverless offering. You will be tackling deep distributed systems challenges in how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and managed across nodes. WHAT YOU WILL BE DOING: * Leveraging your distributed systems expertise to build, and operate core pieces of our next-generation Serverless Elasticsearch offering, directly impacting the experience of customers worldwide. * Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. * Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. * Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today. * Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. * Supporting our support engineers with the harder problems. * Owning operational investigations end-to-end, until performance or stability issues are successfully resolved. WHAT YOU BRING: * You have a deep background in distributed systems and consensus algorithms. * You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features. * You have a deep technical proficiency in algorithms. * You have shown your ability to understand and work on complex, highly distributed systems, rather than making use of off-the-shelf services. * You demonstrate the ability to build and debug features with a broad impact, running on multiple machines. * You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components. * You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes. * You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities. * You can work autonomously, drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication. BONUS POINTS: * Data stores * Search, analytics, Lucene * Strong knowledge of the JDK * Asynchronous event-driven network frameworks such as Netty. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €67.000—€106.000 EUR ADDITIONAL INFORMATION - WE TAKE CARE OF OUR PEOPLE As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. * Competitive pay based on the work you do here and not your previous salary * Health coverage for you and your family in many locations * Ability to craft your calendar with flexible locations and schedules for many roles * Generous number of vacation days each year * Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service * Up to 40 hours each year to use toward volunteer projects you love * Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. WHAT IS THE ROLE We're looking for a Senior Software Engineer to join the Elasticsearch - Storage Engine team. This globally distributed, fully remote team of experienced engineers develops core storage and query technologies for observability workloads, including improving storage efficiency, advancing ES|QL query processing and performance, and optimizing data layouts for object storage. This role is responsible for designing, implementing, and optimizing Elasticsearch's core storage and query engine. The ideal candidate has experience building high-performance, scalable database, search, or distributed systems, with a strong focus on storage, indexing, query execution, and performance optimization. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable, intuitive and high-quality software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. WHAT YOU WILL BE DOING * Lead the architectural evolution of core storage engine components, continuously identifying and resolving performance bottlenecks in indexing layouts, serialization formats, and resource utilization. * Lead cross organizational initiatives to drive and build industry-leading observability solutions. * Work with a globally distributed team of experienced engineers focused on the logs and metrics capabilities of Elasticsearch. * Drive continuous operational and system improvements by introducing best practices for clean coding standards, demystifying complex system behaviors, untangling complexity to bring architectural clarity across the platform. * Serve as a subject matter expert (SME) across key areas of Elasticsearch, acting as a trusted technical advisor and mentor to the wider engineering organization. * Work with a global community to triage, resolve, and review issues and pull requests, collaborating with domain experts as needed. * Write idiomatic modern Java -- Elasticsearch is 99.8% Java! WHAT YOU BRING * You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities * You work autonomously and can drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication. * You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes. * You bring a prompt-engineering mindset to know how to leverage AI agents effectively, using sound engineering judgment to validate results and recognize its limitations. * You have implemented novel techniques to efficiently index, store, and query time-series or logs data. * You have experience with one or more data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Prometheus and have some idea how they work and why they work that way. * You have strong core Java skills, a deep understanding of its concurrency primitives, with a proven ability to design and optimize efficient data structures and algorithms. * You excel in a collaborative environment, actively participate in technical discussions, and work effectively across distributed teams. Because it's the best way we know how to build software. * You have excellent verbal and written communication skills and collaborate with respect, empathy, and professionalism in a distributed team. BONUS POINTS * You've built things with Elasticsearch before. * You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration. * You’ve worked on data storage technology. * You have experience designing, leading, and owning cross-functional initiatives. * You have past working experience with database, search engine, OS, or cloud service development. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €67.000—€106.000 EUR ADDITIONAL INFORMATION - WE TAKE CARE OF OUR PEOPLE As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. * Competitive pay based on the work you do here and not your previous salary * Health coverage for you and your family in many locations * Ability to craft your calendar with flexible locations and schedules for many roles * Generous number of vacation days each year * Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service * Up to 40 hours each year to use toward volunteer projects you love * Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.