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At Scale AI, we’re not just building AI tools—we’re pioneering the next era of enterprise AI. As businesses race to harness the power of Generative AI, Scale is at the forefront, delivering cutting-edge solutions that transform workflows, automate complex processes, and drive unparalleled efficiency for the largest enterprises. Our Scale Generative AI Platform (SGP) provides foundational services and APIs, enabling businesses to seamlessly integrate AI into their operations at production scale.
We’re looking for a Backend Engineer to help bring large-scale GenAI systems to production. In this role, you’ll build the core infrastructure that powers AI products for some of the world’s largest enterprises—designing scalable APIs, distributed data systems, and robust deployment pipelines that enable production-grade reliability and performance.
This is a rare opportunity to be at the center of the GenAI revolution, solving hard backend and infrastructure challenges that make AI truly work at enterprise scale. If you're excited about shaping how AI systems are deployed and scaled in the real world, we want to hear from you.
At Scale, we don’t just follow AI advancements — we lead them. Backed by deep expertise in data, infrastructure, and model deployment, we are uniquely positioned to solve the hardest problems in AI adoption. Join us in shaping the future of enterprise AI, where your work will directly impact how businesses operate, innovate, and grow in the age of GenAI.
You Will:
- Design, build, and scale backend systems that power enterprise GenAI products, focusing on reliability, performance, and deployment across both Scale’s and customers’ infrastructure.
- Develop core services and APIs that integrate AI models and enterprise data sources securely and efficiently, enabling production-scale AI adoption.
- Architect scalable distributed systems for data processing, inference, and orchestration of large-scale GenAI workloads.
- Optimize backend performance for latency, throughput, and cost—ensuring AI applications can operate at enterprise scale across hybrid and multi-cloud environments.
- Manage and evolve cloud infrastructure (AWS, Azure, or GCP), driving automation, observability, and security for large-scale AI deployments.
- Collaborate with ML and product teams to bring cutting-edge GenAI models into production through efficient APIs, model serving systems, and evaluation frameworks.
- Continuously improve reliability and scalability, applying strong engineering practices to make AI systems robust, maintainable, and enterprise-ready.
Ideally, You Have:
- 4+ years of experience developing large-scale backend or infrastructure systems, with a strong emphasis on distributed services, reliability, and scalability.
- Proficiency in Python or TypeScript, with experience designing high-performance APIs and backend architectures using frameworks such as FastAPI, Flask, Express, or NestJS.
- Deep familiarity with cloud infrastructure (AWS and Azure preferred), including container orchestration (Kubernetes, Docker) and Infrastructure-as-Code tools like Terraform.
- Experience managing data systems such as relational and NoSQL databases (PostgreSQL, DynamoDB, etc.) and building pipelines for data-intensive applications.
- Hands-on experience with GenAI applications, model integration, or AI agent systems—understanding how to deploy, evaluate, and scale AI workloads in production.
- Strong understanding of observability, CI/CD, and security best practices for running services in enterprise or multi-tenant environments.
- Ability to balance rapid iteration with production-grade quality, shipping reliable backend systems in fast-paced environments.
Collaborative mindset, working closely with ML, infra, and product teams to bring complex GenAI systems into production at enterprise scale.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AISenior DevOps Engineer
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Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.
The Network Engineering function is responsible for the design, reliability, and optimisation of QRT’s wide-area network. The team supports large-scale routing infrastructure and collaborates closely with stakeholders across operations, systems engineering, and automation to ensure robust connectivity for global research and trading activities.
Your Future Role within QRT
You will:
- Design, build, and operate scalable, resilient infrastructure configuration and platform services
- Develop and maintain CI/CD pipelines to enable efficient and reliable software delivery
- Implement and evolve observability systems using OpenTelemetry (OTel), including distributed tracing, metrics, and logging
- Troubleshoot complex system issues, perform root cause analysis, and implement long-term fixes
- Automate infrastructure provisioning and configuration using scripting and infrastructure-as-code approaches
- Work closely with engineers to improve system design, deployment processes, and runtime performance
- Operate and optimise containerised environments and orchestration platforms (e.g. Kubernetes)
- Take ownership of services and features from implementation through production support and continuous improvement
- Collaborate with stakeholders to understand requirements and deliver effective technical solutions
Your Present Skillset
- Strong Linux systems expertise, including debugging and performance tuning
- Solid networking knowledge (TCP/IP, DNS, firewalls, VRFs, VLANs, BGP)
- Proficiency in Bash and Python for automation and tooling
- Experience with Python web frameworks (e.g. Flask, Django REST Framework)
- Experience building RESTful APIs
- Hands-on experience with containerisation (Docker) and container orchestration (Kubernetes)
- Experience with monitoring and logging stacks (Prometheus, Grafana, Loki)
- Understanding of asynchronous and multi-threaded systems
- Experience working with CI/CD systems in production environments
- Familiarity with distributed systems and common reliability patterns
- Ability to define and measure KPIs, SLAs, and SLOs
- Strong communication skills and ability to work with both technical and non-technical stakeholders
- Desirable:
- Familiarity with infrastructure-as-code tools (i.e. Terraform)
- Experience with cloud platforms (i.e. AWS)
- Knowledge of OpenTelemetry (OTel), including instrumentation, tracing, metrics, and observability pipelines
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Ready to apply?
Apply to Qube Research & Technologies
Fullstack Engineer (Frontend focus)
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What You’ll Do:
The Monolith AI Engineering Team at CoreWeave is responsible for building and scaling the core platform that powers the world’s most advanced engineering simulation and AI workflows — our ambition is to become the super‑intelligent AI test lab for the engineering industry, helping customers “ship science, faster.” From evolving distributed architecture to enabling the next generation of agentic interfaces and physical AI, this team delivers the performant, reliable, and scalable foundation trusted by the world’s largest engineering companies.
The Fullstack Engineer (Frontend Focus) will own and evolve the Monolith platform’s product surface — the data‑heavy, workflow‑centric web experience where engineers design experiments, compare runs, interact with agents, and turn complex physical test data into decisions. You’ll partner closely with Design, Product, and Backend Engineering to ship UI and UX that feel fast, intuitive, and trustworthy for non‑ML expert engineers, while also contributing to our Python backend services when needed.
About the Role:
We’re targeting an IC5 Fullstack Staff Engineer with a strong frontend background, and are also open to exceptional Senior Fullstack Engineer II (IC4) candidates who can operate at staff‑like scope. The role is heavily frontend‑weighted (roughly 80–90%), focused on owning the Monolith web application: component architecture, design system evolution, performance, and UX for complex, data‑rich workflows. You’ll also work across our Python services (FastAPI/Flask) to shape and integrate APIs, bring new platform capabilities to the UI, and occasionally deliver backend features that unlock better user experiences.
You’ll be a key partner in defining how engineers experience Monolith’s “AI test lab” — from agent chat to experiment exploration and monitoring — and will help set the bar for frontend quality, reliability, and developer experience across the team.
In this role, you will:
Frontend Ownership & Experience
- Own significant areas of the Monolith frontend, from architecture and component design to implementation, refactors, and ongoing maintenance.
- Design and build modern, responsive UIs using React and TypeScript, with a focus on complex, data‑heavy views (tables, charts, experiment timelines, dashboards, agents) that remain fast and understandable for users.
- Collaborate with Design to evolve our design system and component library, ensuring consistency, accessibility, and a high‑quality visual language across the product.
- Drive frontend performance improvements (bundle size, rendering strategies, network usage) to keep the app responsive even under large datasets and long‑running workflows.
- Champion accessibility and usability, ensuring the interface works well for time‑pressed engineers in demanding environments.
Fullstack Development & Platform Integration
- Work closely with backend engineers on our Python services to design clean API contracts, shape data models for UI needs, and debug issues across the stack.
- Implement and integrate backend functionality (primarily in Python) when it materially improves UX or unlocks new workflows, including occasional work on API endpoints, background tasks, and data transformations.
- Collaborate with our agent and platform teams to expose agentic capabilities (e.g. platform agent) safely and intuitively in the frontend experience.
- Contribute to fullstack observability — instrumenting both frontend and backend for metrics, logging, and tracing, and using that data to guide product and performance improvements.
Collaboration, Quality & Developer Experience
- Work hand‑in‑hand with Product and Design to scope projects, define success criteria, and break down ambiguous problems into iterative deliverables.
- Maintain a high bar for code quality through thoughtful design, code reviews, tests (unit, integration, and E2E), and documentation.
- Help improve our frontend developer experience — build tooling, workflows, and patterns that make it easier for the team to ship reliable UI quickly (Storybook/design‑system improvements, local dev ergonomics, CI checks, etc.).
- Mentor other engineers on frontend best practices, UX thinking, and effective fullstack collaboration.
Who You Are:
Experience & Level
- Typically 7+ years of professional software engineering experience, including substantial time building and maintaining complex, user‑facing web applications as a fullstack or frontend‑leaning engineer.
- A track record of operating at Senior/Staff scope: owning significant product surface area, driving cross‑team projects, and making architectural decisions that last.
Frontend Expertise
- Advanced proficiency in React and TypeScript, with experience structuring large‑scale frontends (modules, state management, routing, data‑fetching patterns).
- Strong command of web fundamentals
- Experience building data‑heavy and visualization‑centric UIs — e.g. dashboards, charts, time‑series visualizations, experiment or metrics explorers.
- Familiarity with design systems and component libraries (Storybook or similar), and an eye for when design details materially impact user trust and productivity.
Backend & Platform Skills
- Solid experience with Python in production environments (FastAPI, Flask, or Django), including building and integrating REST or GraphQL APIs that power frontend experiences.
- Comfortable working in service‑oriented or microservice architectures, reasoning about data flows, failure modes, and performance across boundaries.
- Experience with SQL databases (e.g. PostgreSQL) and practical data modelling for product features.
- Familiarity with modern cloud and container stacks (Docker, Kubernetes, and at least one major cloud provider).
Quality & Ways of Working
- Strong habits around testing (unit, integration, and E2E) and CI/CD for frontend and backend changes.
- Effective collaborator with Product, Design, and cross‑functional stakeholders; clear written and verbal communicator who can explain trade‑offs and constraints.
- Comfortable working in a fast‑moving, high‑ambiguity environment where we balance shipping quickly with maintaining a reliable platform.
Preferred:
- Experience building UIs for technical or data‑savvy users (ML engineers, data scientists, physical test engineers, or similar), especially in B2B SaaS products.
- Familiarity with GraphQL and typed API clients in React (or strong REST plus a desire to pick up GraphQL quickly).
- Experience with SSR/SSG frameworks, particularly for performance‑sensitive dashboards.
- Prior work with time‑series and experiment tracking tooling, ML platforms, or analytics products.
- Exposure to ML/AI workflows (experiments, training runs, evaluations, agents) and interest in “tools for AI engineers” as a product domain.
- Experience with frontend observability (Sentry, Datadog, OpenTelemetry, etc.) and using telemetry to guide UX improvements.
Wondering if you’re a good fit?
We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams — even if you aren’t a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.
- Product‑minded craftsperson – you care as much about the user experience and clarity of a workflow as you do about the quality of the code behind it.
- Detail‑oriented on complex UX – you enjoy making intricate, data‑heavy interfaces feel simple and intuitive, and you’re willing to sweat the small interactions to get there.
- Pragmatic and velocity‑driven – you know when to build the perfect abstraction and when to ship a well‑engineered, incremental improvement that moves the product forward.
- Collaborative and empathetic – you build strong relationships with engineers, designers, and PMs, and you’re comfortable iterating based on feedback from customers and colleagues.
- Owner’s mindset – you feel responsible for the experience end‑to‑end, follow through on problems across the stack, and care deeply about the impact your work has on customers and the business.
Why CoreWeave?
At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper‑growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:
- Be Curious at Your Core
- Act Like an Owner
- Empower Employees
- Deliver Best‑in‑Class Client Experiences
- Achieve More Together
We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization’s growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!
To fulfil our obligation to protect client data, successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check, conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results
What We Offer
In addition to a competitive salary, we offer a variety of benefits to support your needs, including:
- Family-level Medical Insurance
- Family-level Dental Insurance
- Generous Pension Contribution
- Life Assurance at 4x Salary
- Critical Illness Cover
- Employee Assistance Programme
- Tuition Reimbursement
- Work culture focused on innovative disruption
Benefits may vary by location.
Our Workplace
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
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.
CoreWeave does not accept speculative CVs. Any unsolicited CVs received will be treated as the property of CoreWeave and your Terms & Conditions associated with the use of CVs will be considered null and void.
Any unsolicited CVs sent by your company to us – that is to say, in any situation where we have not directly engaged your company in writing to supply candidates for a specific vacancy – will be considered by us to be a “free gift”, leaving us liable for no fees whatsoever should we choose to contact the candidate directly and engage the candidate’s services, and will in no way establish any prior claim by your company to representation of that candidate should the candidate’s details also be submitted by any other party.
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.
Updated privacy notice - UK and EU Job Applications
When you apply to a job on this site, the personal data contained in your application will be collected by CoreWeave UK Ltd. (“Controller”), which is located at
Phosphor (6th Floor), 133 Park Street, London, SE1 9EA
and can be contacted by emailing careers.eu@coreweave.com. Controller’s data protection officer can be contacted at privacy@coreweave.com. Your personal data will be processed for the purposes of managing Controller’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of (i) Regulation (EU) 2016/679 (General Data Protection Regulation (“GDPR”) and (ii) the GDPR as it forms part of the laws of the UK (“UK GDPR”), as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller’s behalf. With respect to transfers originating from the UK or the European Economic Area ("EEA") to a country outside the UK or the EEA, we implement the appropriate transfer mechanism(s) and other appropriate solutions to address cross-border transfers as required by applicable law. You may request a copy of the suitable mechanisms we have in place by contacting us at privacy@coreweave.com
Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Where permitted by applicable law, we may also retain your personal data for a limited period after the recruitment process ends in order to consider you for future job opportunities, respond to legal claims, or comply with record-keeping obligations. Under the GDPR and the UK GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability. In addition, you may lodge a complaint with the relevant supervisory authority: (i) A list of Europe’s data protection authorities can be found here; and (ii) for the UK, this is the Information Commissioner's Office.
For additional information, please see our Privacy Policy.
Ready to apply?
Apply to CoreWeave Europe
Data Migration Specialist
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What You’ll Do:
The Monolith AI Platform Engineering Team at CoreWeave is responsible for transitioning existing client environments to Monolith AI’s next-generation platform, maintaining the high velocity needed to support a rapidly growing customer base. This team works closely with Customer Success and Product to ensure migrations are accurate, meet defined business requirements, and are delivered at scale.
About the Role:
Monolith AI is seeking a talented Software Developer for an intensive 3-month migration project transitioning existing client environments to our next-generation platform. This role requires a developer who excels at rapidly understanding undocumented systems, extracting clarity from complex database structures, and building practical migration tooling in Python. You’ll work closely with our 15-person technical team (currently doubling), collaborating extensively with Customer Success and Product to ensure migrations meet defined business requirements while maintaining high velocity.
In this role, you will:
- Rapid System Understanding
- Quickly grasp existing PostgreSQL database schemas through code inspection, team discussions, and reverse engineering
- Understand new platform database architecture and how legacy data maps to the new structure
- Work with pickle files and S3 object storage to understand serialized data structures
- Extract clarity from poorly documented legacy systems through hands-on investigation
- Cross-Functional Requirements Gathering
- Collaborate with Customer Success to understand client migration requirements and acceptance criteria
- Partner with Product team to define and iterate on what constitutes acceptable migration outcomes
- Balance technical constraints with business needs to establish pragmatic migration standards
- Clarify ambiguous requirements and drive decisions on edge cases and trade-offs
- Product Context & Impact Analysis
- Understand how database entries and S3-stored objects drive UI behavior and user workflows
- Work with the existing team to learn system behavior through discussions and knowledge transfer
- Identify how legacy data structures distribute across new platform tables and storage
- Migration Tool Development
- Build Python migration scripts to convert legacy notebooks to the new platform format
- Work with Flask and FastAPI layers to understand API interactions and data flow
- Handle pickle file deserialization and data transformation logic
- Implement validation against defined Customer Success requirements (not 100% data integrity)
- Velocity & Communication Management
- Maintain rapid project pace with tight 3-month timeline
- Provide frequent progress updates to the tech lead on development speed and blockers
- Proactively communicate risks, timeline concerns, and decision points
- Make pragmatic technical decisions that balance quality with delivery speed
- Testing & Validation Against Requirements
- Test migration outputs against Customer Success acceptance criteria
- Validate migrated notebooks meet defined business requirements
- Identify and communicate gaps between migration output and requirements for product decisions
- Process Documentation & Knowledge Transfer
- Document the migration process, key decisions, and data mapping logic
- Create runbooks for executing migrations and handling common issues
- Transfer knowledge primarily through discussions with the existing team
- Prepare materials enabling team to execute and troubleshoot migrations post-contract
Who You Are:
- 3+ years of professional software development experience
- 2+ years working with Python in production environments
- Experience working with PostgreSQL databases and complex data structures
- Demonstrated ability to reverse engineer and understand undocumented systems
- Previous work in fast-paced, deadline-driven environments
- Programming: Strong Python proficiency including handling pickle files, data processing, and object serialization
- Databases: Solid understanding of PostgreSQL including complex data structures, relationships, and schema interpretation
- APIs: Familiarity with Flask and/or FastAPI frameworks and RESTful API concepts
- Cloud Storage: Experience with S3 or similar object storage services for reading/writing data
- System Investigation: Ability to read and understand existing codebases to extract system behavior
- Version Control: Proficiency with Git and collaborative development workflows
Preferred:
- Experience with data migration or system modernization projects
- Background working with legacy systems or technical debt remediation
- Familiarity with Jupyter notebooks or similar computational environments
- Previous contract or consulting roles requiring rapid onboarding
- Experience in startup or scale-up environments with evolving requirements
- Knowledge of data serialization formats and their trade-offs
- Prior work extracting understanding from poorly documented codebases
- Experience balancing technical perfection with business pragmatism
Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren’t a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.
- Rapid Learner: You can quickly understand complex, undocumented systems through code inspection and experimentation, and extract clarity from incomplete information.
- Pragmatic & Velocity-Driven: You thrive in fast-paced environments with tight deadlines, make practical trade-offs between thoroughness and speed, and maintain a strong bias toward action and delivery.
- Communicator: You proactively provide progress updates, surface blockers early, and clearly articulate technical concepts to non-technical stakeholders like Customer Success and Product.
- Collaborative: You build relationships quickly, partner effectively with Customer Success and Product to understand business requirements, and actively engage with the existing technical team to facilitate knowledge transfer.
- Owner: You take full ownership of deliverables despite a short contract timeline, and maintain composure and productivity in a dynamic, growing organisation (team currently doubling).
- Results-Focused: You prioritise work that directly impacts migration success, stay transparent about what’s achievable within timeline constraints, and are accountable when risks emerge.
Why Monolith AI?
At Monolith AI, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:
- Be Curious at Your Core
- Act Like an Owner
- Empower Employees
- Deliver Best-in-Class Client Experiences
- Achieve More Together
We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organisation are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!
To fulfil our obligation to protect client data, successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check, conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results
What We Offer
In addition to a competitive salary, we offer a variety of benefits to support your needs, including:
- Family-level Medical Insurance
- Family-level Dental Insurance
- Generous Pension Contribution
- Life Assurance at 4x Salary
- Critical Illness Cover
- Employee Assistance Programme
- Tuition Reimbursement
- Work culture focused on innovative disruption
Benefits may vary by location.
Our Workplace
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
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.
CoreWeave does not accept speculative CVs. Any unsolicited CVs received will be treated as the property of CoreWeave and your Terms & Conditions associated with the use of CVs will be considered null and void.
Any unsolicited CVs sent by your company to us – that is to say, in any situation where we have not directly engaged your company in writing to supply candidates for a specific vacancy – will be considered by us to be a “free gift”, leaving us liable for no fees whatsoever should we choose to contact the candidate directly and engage the candidate’s services, and will in no way establish any prior claim by your company to representation of that candidate should the candidate’s details also be submitted by any other party.
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.
Updated privacy notice - UK and EU Job Applications
When you apply to a job on this site, the personal data contained in your application will be collected by CoreWeave UK Ltd. (“Controller”), which is located at
Phosphor (6th Floor), 133 Park Street, London, SE1 9EA
and can be contacted by emailing careers.eu@coreweave.com. Controller’s data protection officer can be contacted at privacy@coreweave.com. Your personal data will be processed for the purposes of managing Controller’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of (i) Regulation (EU) 2016/679 (General Data Protection Regulation (“GDPR”) and (ii) the GDPR as it forms part of the laws of the UK (“UK GDPR”), as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller’s behalf. With respect to transfers originating from the UK or the European Economic Area ("EEA") to a country outside the UK or the EEA, we implement the appropriate transfer mechanism(s) and other appropriate solutions to address cross-border transfers as required by applicable law. You may request a copy of the suitable mechanisms we have in place by contacting us at privacy@coreweave.com
Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Where permitted by applicable law, we may also retain your personal data for a limited period after the recruitment process ends in order to consider you for future job opportunities, respond to legal claims, or comply with record-keeping obligations. Under the GDPR and the UK GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability. In addition, you may lodge a complaint with the relevant supervisory authority: (i) A list of Europe’s data protection authorities can be found here; and (ii) for the UK, this is the Information Commissioner's Office.
For additional information, please see our Privacy Policy.
Ready to apply?
Apply to CoreWeave Europe
Syndigo powers the continual flow of data and content throughout the entire commerce ecosystem— accelerating delivery of accurate and compelling information that increases sales on every shelf. We are the recognized leader in software and services for the management of master data, product information, digital assets, and content syndication and analytics across industries including grocery, foodservice, hardlines, home improvement, oil & gas, pet, health and beauty, automotive, apparel, and healthcare products.
Syndigo serves the industry’s largest two-sided network, connecting more than 50,000 global users across 12,000+ global brands with more than 1,750 global retailers.
Basically, we're the people that deliver the rich, accurate product content that helps consumers shop online with confidence, and helps brands and retailers operate efficient product supply chains. We cannot do all of this without our amazing employees who make the magic happen here at Syndigo. As we continue to grow, we’re always looking to identify talented individuals to join our team.
**This is a hybrid position open to candidates in the London area, only requiring 2 days in the office**
We’re looking for a Senior Data Scientist to help build, scale, and operate production‑grade machine learning systems that power a high‑growth SaaS platform. In this role, you’ll take models from experimentation to real‑world impact—supporting real‑time decisioning, predictive analytics, and data‑driven product capabilities used by customers at scale.
You’ll work closely with engineering, product, and data teams to deliver ML solutions that are reliable, observable, and performant in a multi‑tenant SaaS environment.
HOW WE’LL BE WINNING TOGETHER DAY TO DAY
- Prediction models — Training and optimizing neural networks to predict eCommerce events across massive datasets
- Real‑time inference — Designing and deploying low‑latency models with millisecond‑level time budgets
- Production ML at scale — Building and operating ML models and web services handling 1,000+ RPS
WE SHOULD TALK IF THIS SOUNDS LIKE YOU \
- 4+ years of experience building machine learning models, with a strong emphasis on neural networks
- Strong proficiency in Python, including notebooks and production‑grade code
- Experience in training and deploying neural network models in production environments
- Hands‑on experience with ML frameworks such as PyTorch and TensorFlow
- Experience building web services and APIs using Flask, FastAPI, or similar frameworks
- Comfortable working in Linux environments, including shell scripting for monitoring and debugging applications
Diversity, Equity & Inclusion
To achieve the best version of our organization, we know it takes new ideas, new approaches, new perspectives and new ways of thinking. A purpose we are 100% committed to cultivating.
Diversity is woven into our fabric at Syndigo and it’s how we stay an industry leader, innovating technology solutions that equip our customers with everything they need to be successful!
All are welcome here and we invite you to join our team if you are ready to help us continue that growth!
GDPR/CCPA
Syndigo, to process applications, holds onto data for a "reasonable time" after applications are submitted. This data is stored for Syndigo's internal use by HR/Recruiting Staff only. Verified requests for data deletion and exports will be completed upon request.
Syndigo Job Applicant Privacy Notice
At Syndigo, we care about your privacy. As you go through our recruitment process, we are committed to being transparent about how we process your personal data. To learn more about how Syndigo processes your personal data, go to our Job Applicant Privacy Notice.
Ready to apply?
Apply to Syndigo
Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed.
If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future.
Senior Full-Stack Engineer - AI Agent Platform
London Victoria Office - Hybrid: 4 days in the office, 1 day working from home
About the Role
We're building an AI-powered financial crime investigation platform that's transforming how Ebury's compliance teams work. Our AI agents will process thousands of screening cases, reducing analyst workload while maintaining regulatory standards.
We're looking for a Senior Full-Stack Engineer to help us scale our platform and raise the engineering bar. You'll architect and deliver complex features across the entire stack - from React frontends to Python backends to LLM integrations - while mentoring teammates and shaping our technical direction.
This is a unique opportunity to work at the intersection of AI/ML, fintech, and compliance - building production AI systems that handle real financial crime investigations at scale.
What You'll Do
- Architect and build end-to-end features across our React frontend and FastAPI backend, making sound technical decisions that balance speed with maintainability
- Design AI agent workflows using LangGraph for screening automation, RAG pipelines, and multi-agent orchestration
- Lead technical initiatives - own complex features from design to production, breaking down ambiguous problems into actionable work
- Integrate complex data sources (internal APIs, third-party services like LexisNexis, data warehouse) with robust error handling and observability
- Improve platform reliability - implement monitoring, alerting, and performance optimizations for production AI systems
- Mentor and uplift junior and mid-level engineers through code reviews, pairing, and technical guidance
- Shape engineering practices - contribute to architecture decisions, coding standards, and team processes
- Collaborate cross-functionally with Product, Design, Compliance, and other engineering teams to deliver impactful solutions
Tech Stack
Frontend:
- React, TypeScript, Material-UI
- Module Federation (Micro-frontend architecture)
- Vite, Vitest
Backend:
- Python 3.13, FastAPI
- LangGraph (AI agent orchestration)
- LlamaIndex (RAG/vector search)
- AWS Bedrock
- DynamoDB, OpenSearch Serverless
Infrastructure:
- AWS (ECS Fargate, Lambda, API Gateway, S3)
- Terraform, GitHub Actions
- Docker, Kubernetes
- Sentry, Langfuse (LLM observability)
What We're Looking For
Must Have:
- 5+ years of professional software engineering experience
- Strong React + TypeScript skills - you can architect complex frontend applications with good state management, performance, and testing
- Strong Python backend experience - FastAPI, Django, or Flask with async programming, clean architecture, and production-grade code
- System design skills - you can design scalable, maintainable systems and articulate trade-offs clearly
- API design expertise - REST, WebSockets/SSE, and understanding of distributed systems patterns
- Database proficiency - SQL and NoSQL (DynamoDB, PostgreSQL, OpenSearch), including query optimization and data modeling
- Testing mindset - you write comprehensive tests and advocate for quality across the team
- Ownership mentality - you take features from idea to production, proactively identifying and solving problems
- Strong communication - you can explain complex technical concepts to engineers and non-engineers alike, and write clear documentation
- Mentorship ability - you enjoy helping others grow and have experience guiding less experienced engineers
Nice to Have:
- LLM/AI experience - LangChain, LangGraph, RAG pipelines, prompt engineering, or fine-tuning
- Production AI systems - experience with LLM observability (Langfuse), token management, streaming, and reliability patterns
- AWS expertise - Lambda, ECS, DynamoDB, OpenSearch, Bedrock, or similar cloud services
- Streaming architectures - SSE, WebSockets, event-driven systems
- Fintech/compliance background - AML, sanctions screening, KYC, or regulated industry experience
- Micro-frontend experience - Module Federation, independent deployability
- Infrastructure as Code - Terraform, CDK, or similar
What Sets Senior Apart
We're looking for engineers who demonstrate:
- Technical leadership - You don't just complete tasks; you identify the right problems to solve and influence technical direction
- Systems thinking - You consider the broader context: scalability, security, observability, and maintainability
- Proactive communication - You surface risks early, propose solutions, and keep stakeholders informed
- Quality advocacy - You raise the bar for testing, code review, and documentation across the team
- Pragmatic decision-making - You balance ideal solutions with delivery timelines, making conscious trade-offs
- Continuous learning - You stay current with industry trends and bring new ideas to the team
Why Join Us?
- Greenfield AI Product: You'll help shape a product from early stages, not maintain legacy code. Your architectural decisions will have lasting impact.
- Technical Leadership: Drive technical direction for a growing team. Mentor engineers and establish patterns that scale.
- Cutting-Edge AI: Work with the latest LLM technologies in production - LangGraph, RAG, multi-agent systems, and more.
- Real Impact: Our AI agents process thousands of compliance cases. You'll see your work making a difference within weeks.
- Startup-within-Enterprise: Small, autonomous team with startup speed, backed by enterprise resources and stability.
About us
Ebury delivers sophisticated, integrated solutions — business accounts, hedging, and financing — on a single platform with a seamless workflow. Our success is built on a simple premise and singular purpose: To help businesses operate and scale globally.
Since its founding in 2009, Ebury has always been a fast-growing leader in fintech. Today, we bring together 1,800+ Eburians across nearly 70 cities and we’re always looking to add to our team.
At the heart of our offering is a proprietary platform, purpose-built to help businesses seamlessly streamline and manage global cash flow. We focus on continuous product evolution and innovation to build the infrastructure for borderless growth and help our clients scale at every stage.
The opportunities at Ebury are as diverse as our people, ranging from business development to engineering roles across our tech pillars.
We believe in inclusion. We stand against discrimination in all forms and are against the intolerance of differences that makes us a modern and successful organisation. At Ebury, you can be whoever you want to be and still feel a sense of belonging no matter your story.
Ready to apply?
Apply to Ebury
Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed.
If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future.
Mid-Full-Stack Engineer - AI Agent Platform
London Victoria Office - Hybrid: 4 days in the office, 1 day working from home
About the Role
We're building an AI-powered financial crime investigation platform that's transforming how Ebury's compliance teams work. Our AI agents will process thousands of screening cases, reducing analyst workload while maintaining regulatory standards.
We're looking for a Mid Full-Stack Engineer to join our growing team. You'll work across the entire stack - from React frontends to Python backends to LLM integrations - shipping features that directly impact compliance operations.
This is a unique opportunity to work at the intersection of AI/ML, fintech, and compliance - building production AI systems that handle real financial crime investigations.
What You'll Do
- Build end-to-end features across our React frontend and FastAPI backend
- Develop AI agent workflows using LangGraph for screening automation and more
- Integrate with multiple data sources (internal APIs, third-party services, data warehouse)
- Improve the user experience for compliance analysts using our platform daily
- Write clean, tested code with good documentation
- Collaborate closely with Product, Design, and Compliance stakeholders
- Learn and grow - we'll help you develop expertise in AI/LLM systems
Tech Stack
Frontend:
- React 19, TypeScript, Material-UI
- Module Federation (Micro-frontend architecture)
- Vite, Vitest
Backend:
- Python 3.13, FastAPI
- LangGraph (AI agent orchestration)
- AWS Bedrock
- DynamoDB, OpenSearch
Infrastructure:
- AWS (ECS Fargate, Lambda, API Gateway)
- Terraform, GitHub Actions
- Docker, Kubernetes
What We're Looking For
Must Have:
- 2-5 years of professional software engineering experience
- React + TypeScript experience (or strong frontend skills with willingness to learn)
- Python backend experience (FastAPI, Django, or Flask)
- Solid understanding of REST APIs and async programming
- Comfortable with SQL databases and NoSQL (DynamoDB, MongoDB)
- Good testing practices (unit tests, integration tests)
- Clear communication skills - you can explain technical concepts to non-engineers
- Curiosity about AI/LLM - you're excited to learn, even if you haven't worked with it before
Nice to Have:
- Experience with LLMs/AI (OpenAI, Claude, LangChain, etc.)
- Knowledge of AWS services (Lambda, ECS, DynamoDB)
- Familiarity with streaming (SSE, WebSockets)
- Previous work in fintech, compliance, or regulated industries
- Experience with micro-frontend architectures
Why Join Us?
- Greenfield AI Product: You'll help shape a product from early stages, not maintain legacy code. Your architectural decisions will have lasting impact.
- Technical Leadership: Drive technical direction for a growing team. Mentor engineers and establish patterns that scale.
- Cutting-Edge AI: Work with the latest LLM technologies in production - LangGraph, RAG, multi-agent systems, and more.
- Real Impact: Our AI agents process thousands of compliance cases. You'll see your work making a difference within weeks.
- Startup-within-Enterprise: Small, autonomous team with startup speed, backed by enterprise resources and stability.
About us
Ebury delivers sophisticated, integrated solutions — business accounts, hedging, and financing — on a single platform with a seamless workflow. Our success is built on a simple premise and singular purpose: To help businesses operate and scale globally.
Since its founding in 2009, Ebury has always been a fast-growing leader in fintech. Today, we bring together 1,800+ Eburians across nearly 70 cities and we’re always looking to add to our team.
At the heart of our offering is a proprietary platform, purpose-built to help businesses seamlessly streamline and manage global cash flow. We focus on continuous product evolution and innovation to build the infrastructure for borderless growth and help our clients scale at every stage.
The opportunities at Ebury are as diverse as our people, ranging from business development to engineering roles across our tech pillars.
We believe in inclusion. We stand against discrimination in all forms and are against the intolerance of differences that makes us a modern and successful organisation. At Ebury, you can be whoever you want to be and still feel a sense of belonging no matter your story.
Ready to apply?
Apply to Ebury
Your Impact
The Senior Software Engineer is a senior engineer responsible for subsystems of a project. They are expected to lead epics/initiatives, mentor more junior engineers, and contribute to architectural decisions. They have a substantial impact on their team and sometimes across teams. They design and develop high-quality, scalable, and innovative software solutions in a SaaS environment, utilizing cutting-edge technologies and methodologies, and ensuring they meet the current and future needs of the business and its customers.
What You'll Do
- Technical Leadership and Mentorship: Provides technical leadership in project teams, mentor and guide more junior engineers, and contribute to technical decision-making
- Performance Optimization: Focuses on designing systems for high performance, scalability, and reliability
- Stakeholder Engagement: Works with stakeholders, including product managers, designers, developers, and executives, to align architectural designs with business needs and customer expectations.
- Proficient Software Development: Designs, develops, and maintains sophisticated software solutions, ensuring they are efficient, scalable, and meet business requirements with architectural excellence. Responsible for System Design & Grooming for features for a subsystem
- Code Quality and Optimization: Upholds and enhances code quality through rigorous review processes, optimization techniques, and adherence to best practices
- Technical Problem Solving: Tackles complex technical challenges, employing a problem-solving approach with innovative solutions
- Collaboration and Communication: Works effectively within the engineering team and cross-functional teams, collaborating with other engineering teams, product managers, and stakeholders, contributing to project planning and execution
- Continuous Learning and Adaptation: Stays updated with the latest technology trends and advancements, continually enhancing skills and knowledge, bringing innovative ideas to the team
- Technical Documentation: Creates and maintains comprehensive technical documentation, ensuring clarity and accessibility of information
Who You Are
- 7-10+ years of relevant experience in software development, with a focus on SaaS or cloud-based applications
- Experience in leading or playing key roles in significant software projects, showing an ability to work effectively both independently and as part of a team
- Close collaboration in planning and implementing features. They must align backend architecture with front-end design and user experience.
- Proficiency in containerization technologies such as Docker and orchestration tools like Kubernetes. Experience in creating, deploying, and managing containers is essential
- Experience with CI/CD pipelines and tools (like Jenkins, GitLab CI, or CircleCI) for automated testing and deployment of microservices
- Proficient in designing and architecting microservices systems, including advanced concepts like distributed data management and event-driven architectures. Expertise in implementing complex microservices, advanced use of containerization and orchestration, and setting up CI/CD pipelines for microservices
- Knowledge of system architecture, design patterns, and best practices in software development ● Skilled in designing and operating software in a Cloud Provider, such as AWS, Azure, or GCP
- Skilled in cloud-based data storage, such as: Relational Databases, NoSQL Stores, data caches, etc
- Skilled in analytical abilities and problem-solving, capable of addressing complex technical challenges
- Ability to adapt to new technologies and methodologies, and a mindset geared towards innovation and continuous improvement
- Effective communication and teamwork skills, essential for collaborating effectively in a dynamic and collaborative environment with various stakeholders and team members, especially from architectural perspectives
- Skilled in programming languages and frameworks commonly used in SaaS development. In particular, Java/Kotlin, Python, C#, as well as a deep understanding of software engineering principles
- Skilled in designing and developing RESTful APIs, understanding of HTTP/HTTPS protocols, and proficiency in API documentation
- Familiarity with server management, network configurations, and an understanding of cloud services (like AWS, Azure, or Google Cloud)
- Knowledge of various stages of the SDLC, including design, development, testing, and deployment
Even Better If You Have...
- Experience with developing, maintaining and monitoring large-scale, high-availability software systems.
- Experience with designing and developing from a Security Perspective
- Experience leveraging observability systems (logging, metrics, traces) to monitor and debug production subsystems and generate business level metrics.
- Experience selecting and extending 3rd party components (commercial or open source) that provide operational leverage.
- Experience with Continuous Integration and Continuous Deployment (CI/CD) with an emphasis on a well-maintained testing pyramid.
- Experience with Agile development methodologies and practices.
- Experience using feature or release toggles as a code branching strategy
- Experience with Contract-first designing and negotiating with other systems
- Experience contributing to technical documentation
Some of Our Technology Stack
- Cloud Provider: AWS
- Languages / Frameworks: Kotlin / Netflix DGS, Python / Flask, C#
- Deployment: Terraform, Docker (via ECS), Consul for App Config, Service Discovery, Shared Secrets
- Transport: gRPC, GraphQL
- Persistence: PostgresQL, Redis
- Messaging: Kafka
Authorization to Work in the U.K.: Candidates must be legally authorized to work in the United Kingdom without sponsorship now or in the future. DISCO is not currently sponsoring visas.
Perks of DISCO
- Open, inclusive, and fun environment
- Benefits, including medical and dental insurance
- Competitive salary plus discretionary bonus
- Competitive salary plus RSUs
- Opportunity to be a part of a startup that is revolutionizing the legal industry
- Growth opportunities throughout the company
About DISCO
DISCO provides a cloud-native, artificial intelligence-powered legal solution that simplifies ediscovery, legal document review and case management for enterprises, law firms, legal services providers and governments. Our scalable, integrated solution enables legal departments to easily collect, process and review enterprise data that is relevant or potentially relevant to legal matters.
At DISCO, we believe AI is a core enabler of how work gets done. All employees are expected to proactively adopt and responsibly use AI tools to drive efficiency, improve outcomes, and continuously evolve how they operate in their role.
Are you ready to help us fulfill our mission to use technology to strengthen the rule of law? Join us!
We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Ready to apply?
Apply to DISCO
Your Impact
The Senior Software Engineer is a senior engineer responsible for subsystems of a project. They are expected to lead epics/initiatives, mentor more junior engineers, and contribute to architectural decisions. They have a substantial impact on their team and sometimes across teams. They design and develop high-quality, scalable, and innovative software solutions in a SaaS environment, utilizing cutting-edge technologies and methodologies, and ensuring they meet the current and future needs of the business and its customers.
What You'll Do
- Technical Leadership and Mentorship: Provides technical leadership in project teams, mentor and guide more junior engineers, and contribute to technical decision-making
- Performance Optimization: Focuses on designing systems for high performance, scalability, and reliability
- Stakeholder Engagement: Works with stakeholders, including product managers, designers, developers, and executives, to align architectural designs with business needs and customer expectations.
- Proficient Software Development: Designs, develops, and maintains sophisticated software solutions, ensuring they are efficient, scalable, and meet business requirements with architectural excellence. Responsible for System Design & Grooming for features for a subsystem
- Code Quality and Optimization: Upholds and enhances code quality through rigorous review processes, optimization techniques, and adherence to best practices
- Technical Problem Solving: Tackles complex technical challenges, employing a problem-solving approach with innovative solutions
- Collaboration and Communication: Works effectively within the engineering team and cross-functional teams, collaborating with other engineering teams, product managers, and stakeholders, contributing to project planning and execution
- Continuous Learning and Adaptation: Stays updated with the latest technology trends and advancements, continually enhancing skills and knowledge, bringing innovative ideas to the team
- Technical Documentation: Creates and maintains comprehensive technical documentation, ensuring clarity and accessibility of information
Who You Are
- 7-10+ years of relevant experience in software development, with a focus on SaaS or cloud-based applications
- Experience in leading or playing key roles in significant software projects, showing an ability to work effectively both independently and as part of a team
- Close collaboration in planning and implementing features. They must align backend architecture with front-end design and user experience.
- Proficiency in containerization technologies such as Docker and orchestration tools like Kubernetes. Experience in creating, deploying, and managing containers is essential
- Experience with CI/CD pipelines and tools (like Jenkins, GitLab CI, or CircleCI) for automated testing and deployment of microservices
- Proficient in designing and architecting microservices systems, including advanced concepts like distributed data management and event-driven architectures. Expertise in implementing complex microservices, advanced use of containerization and orchestration, and setting up CI/CD pipelines for microservices
- Knowledge of system architecture, design patterns, and best practices in software development ● Skilled in designing and operating software in a Cloud Provider, such as AWS, Azure, or GCP
- Skilled in cloud-based data storage, such as: Relational Databases, NoSQL Stores, data caches, etc
- Skilled in analytical abilities and problem-solving, capable of addressing complex technical challenges
- Ability to adapt to new technologies and methodologies, and a mindset geared towards innovation and continuous improvement
- Effective communication and teamwork skills, essential for collaborating effectively in a dynamic and collaborative environment with various stakeholders and team members, especially from architectural perspectives
- Skilled in programming languages and frameworks commonly used in SaaS development. In particular, Java/Kotlin, Python, C#, as well as a deep understanding of software engineering principles
- Skilled in designing and developing RESTful APIs, understanding of HTTP/HTTPS protocols, and proficiency in API documentation
- Familiarity with server management, network configurations, and an understanding of cloud services (like AWS, Azure, or Google Cloud)
- Knowledge of various stages of the SDLC, including design, development, testing, and deployment
Even Better If You Have...
- Experience with developing, maintaining and monitoring large-scale, high-availability software systems.
- Experience with designing and developing from a Security Perspective
- Experience leveraging observability systems (logging, metrics, traces) to monitor and debug production subsystems and generate business level metrics.
- Experience selecting and extending 3rd party components (commercial or open source) that provide operational leverage.
- Experience with Continuous Integration and Continuous Deployment (CI/CD) with an emphasis on a well-maintained testing pyramid.
- Experience with Agile development methodologies and practices.
- Experience using feature or release toggles as a code branching strategy
- Experience with Contract-first designing and negotiating with other systems
- Experience contributing to technical documentation
Some of Our Technology Stack
- Cloud Provider: AWS
- Languages / Frameworks: Kotlin / Netflix DGS, Python / Flask, C#
- Deployment: Terraform, Docker (via ECS), Consul for App Config, Service Discovery, Shared Secrets
- Transport: gRPC, GraphQL
- Persistence: PostgresQL, Redis
- Messaging: Kafka
Authorization to Work in the U.K.: Candidates must be legally authorized to work in the United Kingdom without sponsorship now or in the future. DISCO is not currently sponsoring visas.
Perks of DISCO
- Open, inclusive, and fun environment
- Benefits, including medical and dental insurance
- Competitive salary plus discretionary bonus
- Competitive salary plus RSUs
- Opportunity to be a part of a startup that is revolutionizing the legal industry
- Growth opportunities throughout the company
About DISCO
DISCO provides a cloud-native, artificial intelligence-powered legal solution that simplifies ediscovery, legal document review and case management for enterprises, law firms, legal services providers and governments. Our scalable, integrated solution enables legal departments to easily collect, process and review enterprise data that is relevant or potentially relevant to legal matters.
At DISCO, we believe AI is a core enabler of how work gets done. All employees are expected to proactively adopt and responsibly use AI tools to drive efficiency, improve outcomes, and continuously evolve how they operate in their role.
Are you ready to help us fulfill our mission to use technology to strengthen the rule of law? Join us!
We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Ready to apply?
Apply to DISCO