DynamoDB Jobs in London.
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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 AIDirector, Forward Deployed Engineering
At Scale AI, we're not just building AI tools—we're pioneering the next era of enterprise AI. The world's largest enterprises are racing to deploy Generative AI into the core of their operations, and Scale is the partner that gets them there. Our Forward Deployed Engineering team sits at the intersection of customer delivery and core platform development, embedding alongside customers to turn research breakthroughs into production systems that drive measurable business outcomes.
We're hiring a Director of Forward Deployed Engineering to oversee delivery for our largest and most strategic accounts. You'll lead a team of elite engineers who embed directly with Fortune 500 customers to ship deeply integrated AI agents—owning everything from agent design and evaluation to the backend services, data systems, and cloud infrastructure that make them production-ready. You'll partner closely with our Forward Deployed and Product teams to make sure we're shipping as efficiently as possible, turning hard-won field lessons into reusable platform capabilities that compound our velocity over time.
This is a high-autonomy, founder-mindset role. You'll own outcomes end-to-end, scale a team that can operate under pressure, and shape how AI adoption actually happens inside the world's biggest enterprises. Your success will be measured by how consistently your team ships, how durably those deployments stick, and how clearly the signal from the field sharpens our product roadmap.
You Will
- Own delivery for our largest accounts. Lead end-to-end execution across our most strategic enterprise customers—scoping engagements, sequencing delivery, removing blockers, and making sharp trade-offs between scope, speed, and quality to drive production adoption.
- Lead and grow the team. Hire, develop, and retain a world-class team of Forward Deployed Engineers. Set the technical bar, establish hiring standards, and build onboarding and career frameworks that let the team scale without losing intensity.
- Provide holistic technical oversight. Maintain a deep working understanding of every layer of what we ship—agents, models, evaluations, backend services, data pipelines, and cloud infrastructure—so you can review architectures, debug production issues, and raise the quality bar across every engagement.
- Partner with Product and core Engineering. Work closely with Forward Deployed, Product, and Platform teams to ensure we ship efficiently. Identify patterns across engagements and codify them into reusable platform capabilities, playbooks, and building blocks that make the next deployment faster than the last.
- Engage directly with customer leadership. Forge trusted relationships with senior stakeholders at Fortune 500 customers. Translate ambiguous business problems into concrete technical roadmaps with measurable outcomes, and represent Scale at the executive level.
- Enforce production excellence. Set and hold the standard for reliability, security, observability, and evaluation across deployed agents—making sure the systems we ship are genuinely enterprise-ready, not just demo-ready.
- Drive the feedback loop into product. Translate field insights into sharp, actionable input for Product and Research, influencing model choices, platform features, and roadmap priorities.
- Operate with founder mindset. Own outcomes without waiting to be asked. Move with urgency in ambiguous environments. Make sound calls under pressure and model the calm, focus, and judgment the team needs when stakes are high.
Ideally You’d Have
- 10+ years of software engineering or technical delivery experience, including 3+ years leading high-performing customer-facing engineering teams (Forward Deployed, Solutions Engineering, Applied AI, or similar).
- A solid engineering background. You've led high-pressure technical projects from prototype to production, and you're still comfortable whiteboarding system architectures, reviewing code, and debugging production issues alongside your team.
- Proven ability to scale a delivery team. You've built hiring bars, onboarding programs, and operating standards for technical organizations, and you've interviewed and hired at volume for senior engineering roles.
- Hands-on fluency with the full AI stack. Deep familiarity with LLMs and agent systems, evaluation frameworks, backend and API design (Python or TypeScript), data systems (PostgreSQL, DynamoDB, MongoDB, or similar), and cloud infrastructure (AWS, Azure, or GCP) including Kubernetes, Docker, and IaC tooling.
- Experience deploying AI into complex enterprise environments, including navigating security reviews, identity/SSO, data residency, legacy integrations, and compliance requirements.
- A track record of turning field work into product leverage. You've codified repeatable patterns from customer engagements into tools, libraries, or platform features that scaled across the next wave of deployments.
- Strong cross-functional leadership. You've aligned Sales, Product, Engineering, Research, and Customer Success around shared goals and delivered outcomes that required all of them to row in the same direction.
- Founder mindset. High autonomy, high motivation, high ownership. Comfortable operating with ambiguity, bias toward action, and the judgment to know when to ship and when to raise the bar.
Exceptional communication. You can translate technical tradeoffs into decisions for executive and non-technical audiences, and model the customer empathy you expect from your team.
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 AIWhy Verifone
For more than 40 years Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone has one of the leading electronic payment solutions brands and is one of the largest providers of electronic payment systems worldwide.
Verifone has a diverse, dynamic and fast paced work environment in which employees are focused on results and have opportunities to excel. We take pride in the fact that we work with leading retailers, merchants, banks, and third party partners to invent and deliver innovative payments solution around the world. We strive for excellence in our products and services, and are obsessed with customer happiness. Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next platform of secure payment systems or searching for new ways to bring electronic payments to new markets, the team at Verifone is dedicated to the success of our customers, partners and investors. It is this passion for innovation that drives each one of our employees for personal and professional success.
Verifone is proudly an in-office work culture as we see immense benefits to career development and business results from our colleagues being physically co-located.
About The Role
We are seeking a Principal Software Engineer based in London to provide technical leadership across backend services supporting our global payment gateway system. You will design and evolve core platform capabilities, guide architectural decisions across microservices, and mentor engineers while remaining hands‑on with critical systems built using Java and Spring Boot.
This role sits at the heart of Verifone’s global payment gateway platform. You will help shape the technical direction of systems responsible for processing high‑volume, mission‑critical financial transactions worldwide.
At this level, the role goes beyond feature delivery. You will drive architectural decisions, set engineering standards, and influence how teams design, build, and operate secure, scalable backend systems. Success in this role is defined by technical leadership, sound judgment in complex trade‑offs, and ownership of systems that must perform reliably under real‑world load and regulatory constraints.
You will work closely with senior engineering, platform, product, and infrastructure partners to ensure our systems scale globally, remain secure, and meet the highest standards for availability and performance.
Required Skills and Experience Needed
Programming Languages
- Java 17 or higher
Frameworks and Libraries
- Spring Boot
- Spring Web (REST APIs)
- Spring Data
- Spring Security with JWT / OAuth2
Architecture & System Design
- Deep experience designing and operating microservice‑based architectures
- Strong application of clean code practices and SOLID principles
- Ownership of system‑level architecture and cross‑service design decisions
- Strong understanding of security, authentication flows, and data protection in distributed systems
API & Data
- Design and governance of RESTful APIs, JSON, and HTTP standards
- API versioning and backward‑compatibility strategies
- MongoDB / NoSQL expertise, including:
- Data modeling
- Indexing strategies
- Performance optimization
- Advanced experience with Java concurrency, streams, and performance tuning
Cloud & Infrastructure
- AWS services including EC2, ECS/EKS, S3, RDS and/or DynamoDB, and CloudWatch
- Docker and containerized deployments
- CI/CD pipelines and Git‑based workflows
- Experience designing systems for scalability, resilience, and operability
Testing & Engineering Practices
- Strong unit and integration testing practices using JUnit and Mockito
- Ownership of quality standards, testability, and CI discipline
- Experience working in Agile / Scrum environments and influencing engineering best practices
Experience Level
- Principal‑level backend engineering experience building and operating large‑scale, high‑performance systems
- Approximately 8+ years of backend development experience, with several years working on production Java and Spring Boot services
- Proven experience owning architecture and technical direction for critical backend platforms
- Extensive production experience with MongoDB, including modeling, indexing, and performance optimization
Bonus Skills and Experience
Payments & Domain Expertise
- Background in fintech or payments
- Experience with payment processing, transactions, and financial data
- Strong understanding of high‑availability, security, and data‑consistency trade‑offs
Eventing & Distributed Systems
- Experience with event‑driven architectures
- Messaging or streaming technologies such as:
- Kafka
- AWS SQS
- Similar eventing systems
Platform & Technical Leadership
- Deep experience with AWS, Docker, and CI/CD practices
- Proven ability to mentor engineers and raise the technical bar across teams
- Strong sense of ownership for systems running in production
Our Commitment
Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Ready to apply?
Apply to Verifone
Why Verifone
For more than 40 years Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone has one of the leading electronic payment solutions brands and is one of the largest providers of electronic payment systems worldwide.
Verifone has a diverse, dynamic and fast paced work environment in which employees are focused on results and have opportunities to excel. We take pride in the fact that we work with leading retailers, merchants, banks, and third party partners to invent and deliver innovative payments solution around the world. We strive for excellence in our products and services, and are obsessed with customer happiness. Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next platform of secure payment systems or searching for new ways to bring electronic payments to new markets, the team at Verifone is dedicated to the success of our customers, partners and investors. It is this passion for innovation that drives each one of our employees for personal and professional success.
Verifone is proudly an in-office work culture as we see immense benefits to career development and business results from our colleagues being physically co-located.
About The Role
We are seeking a Senior Developer based in London to design, build, and operate backend services for our global payment gateway system. You will develop high‑performance, secure microservices using Java and Spring Boot, collaborate closely with platform, product, and infrastructure teams, and help ensure our systems scale reliably across regions and partners.
This role is part of Verifone’s global payment gateway platform, where engineering decisions directly impact the reliability, security, and performance of high‑volume financial transactions worldwide. You will work on backend services that sit at the core of payment processing, balancing scalability, data consistency, and security in a highly regulated environment.
The role is ideal for a senior backend developer who enjoys working on complex distributed systems, modern Java platforms, and cloud‑native architectures, and who takes ownership of systems that must perform reliably under real‑world load.
Required Skills and Experience Needed
Programming Languages
- Java 17 or higher
Frameworks and Libraries
- Spring Boot
- Spring Web (REST APIs)
- Spring Data
- Spring Security with JWT / OAuth2
Architecture & System Design
- Microservice‑based architectures
- Clean code practices and SOLID principles
- Experience designing scalable, fault‑tolerant backend services
- Strong understanding of security, authentication flows, and data protection
API & Data
- RESTful API design using JSON and HTTP standards
- API versioning strategies
- MongoDB / NoSQL experience, including:
- Data modeling
- Indexing strategies
- Performance tuning
- Experience with Java concurrency, streams, and performance optimization
Cloud & Infrastructure
- AWS services including EC2, ECS/EKS, S3, RDS and/or DynamoDB, and CloudWatch
- Docker and containerized deployments
- CI/CD pipelines and Git‑based workflows
Testing & Engineering Practices
- Unit and integration testing using JUnit and Mockito
- Strong focus on testability, quality, and maintainability
- Experience working in Agile / Scrum environments
Bonus Skills and Experience
Payments & Domain Experience
- Background in fintech or payments
- Experience handling transactions, payment flows, and financial data
- Understanding of high‑availability, security, and data consistency trade‑offs
Eventing & Distributed Systems
- Exposure to event‑driven architectures
- Messaging or streaming technologies such as:
- Kafka
- AWS SQS
- Similar eventing systems
Platform & Operations
- Advanced experience with AWS, Docker, and CI/CD practices
- Production experience operating distributed systems at scale
- Strong ownership mindset for services running in production
Our Commitment
Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Ready to apply?
Apply to Verifone
Cloud Engineer - AWS Specialist
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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 QRT’s 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.
Your future role within QRT:
You will be part of a global team comprising Quantitative Traders, Researchers and Developers. Our AWS specialists are essential in building the next generation of research platforms, leveraging technologies like EKS, Lambda, SSM, IAM, Secrets Manager, RDS, DynamoDB, Redis, and CloudWatch.
• Design and implement custom AWS architectures to enhance the quantitative research and modelling processes of the desk.
• Collaborate with quantitative researchers, developers, and data scientists to understand their needs and translate them into scalable, flexible, and secure cloud solutions.
• Ensure the optimal performance, availability, and reliability of cloud infrastructure to support high-performance quantitative research and large-scale data analysis.
• Automate infrastructure deployment, management, and monitoring to streamline research operations and enable rapid prototyping.
• Continuously review and optimize cloud systems to ensure scalability, cost efficiency, and alignment with research and trading objectives.
• Stay up to date on AWS services, tools, and drive best practices within the AWS Specialists team.
Your present skillset:
• 4+ years experience as a Cloud Architect or Engineer with a strong focus on AWS technologies.
• In-depth knowledge of AWS services, including EKS, EC2, S3, Lambda, RDS, VPC, IAM, CloudWatch and others.
• Experience in designing highly available, resilient, and secure cloud solutions for research or finance environments.
• Strong understanding of cloud security practices, encryption, and governance.
• Familiarity with DevOps principles and automation tools (e.g.: Terraform).
• Experience with containerization (Docker, Kubernetes, etc.) and serverless architecture.
• Ability to troubleshoot complex cloud infrastructures.
• Excellent communication and collaboration skills, with the ability to work effectively across diverse technical and research teams.
• AWS certifications (Solutions Architect, DevOps Engineer, etc.) are a plus.
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
Senior Machine Learning Engineer, Recommendations (Product)
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We are looking for a Senior Machine Learning Engineer to join our Recommendations Experience team, focusing on building ML-powered features that directly improve personalization, engagement, and satisfaction for our users. While this is an MLE role, you’ll bring strong engineering fundamentals and work across the full stack and end-to-end systems, from data pipelines to APIs to real-time serving, and everything in between. The Recommendations team ships ML-powered features that connect 200M+ users with music they'll love.
You'll own features end-to-end: from understanding user needs with Product and Design, to architecting data pipelines processing billions of events, to building and shipping production ML systems that balance performance, cost, and user experience. This means working across BigQuery (trillion-row datasets), Airflow orchestration, real-time serving infrastructure (BigTable), APIs, and constant collaboration with Product, Design, Engineering, and Platform teams.
Key Responsibilities:
- Develop, test, and productionize ML and LLM-based systems serving real users
- Design and build end-to-end ML pipelines, including data, features, training, and serving
- Make technical decisions considering cost, latency, complexity, and maintainability
- Navigate distributed systems (BigQuery, BigTable, Airflow, DynamoDB) to build reliable, scalable solutions
- Set up monitoring, A/B testing, and metrics frameworks to measure real user impact
- Debug complex issues across data pipelines, ML models, and distributed systems
- Contribute to technical strategy and team best practices
- Leverage agentic workflows and AI-assisted engineering as a force multiplier to work at 10x the speed of traditional methods
Experience and Background:
- 1-2+ years building ML systems in production - you understand the difference between a model that works in Jupyter and one that serves millions of users
- 4+ years of software engineering experience - you write production code, not just notebooks
- Strong Python and Scala (or Java/JVM) skills, with experience writing scalable, production code
- Experience building and deploying ML models end-to-end (data, training, serving, monitoring)
- Experience building and deploying LLM-based features in production
- Familiarity with integrating LLMs into ML systems (e.g. retrieval-augmented generation, model serving)
- Understanding of shared ML architecture across domains (e.g. search and recommendations)
- Strong focus on data quality and correctness, and how upstream data impacts downstream models and user experience
- Strong SQL skills for massive datasets (BigQuery, Spark)
- Cloud platform experience (AWS/GCP) and containerization (Docker, Kubernetes)
- Experience with distributed data processing and ETL pipelines (Airflow, Spark)
- Familiarity with ML frameworks such as TensorFlow or PyTorch
About us:
- We are a multinational company with offices in the US (New York and Los Angeles), Germany (Berlin), and the UK (London)
- We provide a flexible work culture that offers the opportunity to collaborate and connect in person at our offices as well as accommodating work from home
- We are deeply committed to ensuring diversity, equity and inclusion at all levels of our organization and fostering a community where everyone’s voice, perspective and experience is respected and heard.
- We believe a strong team is made by investing in employees through mentorship, workshops and enrichment opportunities
Benefits:
- Not located in Berlin? No worries, we offer extensive relocation support including allowances, one way flights, temporary accommodation and, by partnering with Expath, on the ground support on arrival
- Interested in a gym membership, photography course or book? We have a Creativity and Wellness benefit!
- Employee Equity Plan
- Generous professional development allowance
- Flexible vacation and public holiday policy where you can take up to 35 days of PTO annually
- We offer free German courses at beginning, intermediate and advanced
- Various snacks, goodies, and 2 free lunches weekly when at the office
Diversity, Equity and Inclusion at SoundCloud
SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us lead what’s next in music by understanding and empowering our creators and fans, no matter their identity. We acknowledge the challenges in the music industry, and strive to influence an inclusive culture where everyone can contribute respectfully and thrive, especially the historically marginalized communities that many of our creators, fans and SoundClouders identify with. We are dedicated to creating an inclusive environment at SoundCloud for everyone, regardless of gender identity, sexual orientation, race, ethnicity, migration background, national origin, age, disability status, or care-giver status.
At SoundCloud you can find your community or elevate your allyship by joining a Diversity Resource Group. Diversity Resource Groups are employee-organized groups focused on supporting and promoting the interests of a particular underrepresented community in order to build a more inclusive culture at SoundCloud. Anyone can join, whether you share the identity or strive to be an ally.
Ready to apply?
Apply to SoundCloud
Senior Machine Learning Engineer, Recommendations (Product)
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You'll own features end-to-end: from understanding user needs with Product and Design, to architecting data pipelines processing billions of events, to building and shipping production ML systems that balance performance, cost, and user experience. This means working across BigQuery (trillion-row datasets), Airflow orchestration, real-time serving infrastructure (BigTable), APIs, and constant collaboration with Product, Design, Engineering, and Platform teams.
Key Responsibilities:
- Develop, test, and productionize ML and LLM-based systems serving real users
- Design and build end-to-end ML pipelines, including data, features, training, and serving
- Make technical decisions considering cost, latency, complexity, and maintainability
- Navigate distributed systems (BigQuery, BigTable, Airflow, DynamoDB) to build reliable, scalable solutions
- Set up monitoring, A/B testing, and metrics frameworks to measure real user impact
- Debug complex issues across data pipelines, ML models, and distributed systems
- Contribute to technical strategy and team best practices
- Leverage agentic workflows and AI-assisted engineering as a force multiplier to work at 10x the speed of traditional methods
Experience and Background:
- 1-2+ years building ML systems in production - you understand the difference between a model that works in Jupyter and one that serves millions of users
- 4+ years of software engineering experience - you write production code, not just notebooks
- Strong Python and Scala (or Java/JVM) skills, with experience writing scalable, production code
- Experience building and deploying ML models end-to-end (data, training, serving, monitoring)
- Experience building and deploying LLM-based features in production
- Familiarity with integrating LLMs into ML systems (e.g. retrieval-augmented generation, model serving)
- Understanding of shared ML architecture across domains (e.g. search and recommendations)
- Strong focus on data quality and correctness, and how upstream data impacts downstream models and user experience
- Strong SQL skills for massive datasets (BigQuery, Spark)
- Cloud platform experience (AWS/GCP) and containerization (Docker, Kubernetes)
- Experience with distributed data processing and ETL pipelines (Airflow, Spark)
- Familiarity with ML frameworks such as TensorFlow or PyTorch
The salary range for this role is $165,000 - $195,000 annually. The final salary offered will be determined based on relative experience, skills, internal equity, and location. We also offer a generous total rewards program - read more about additional benefits and perks below!
About us:
- We are a multinational company with offices in the US (New York and Los Angeles), Germany (Berlin), and the UK (London)
- We provide a flexible work culture that offers the opportunity to collaborate and connect in person at our offices as well as accommodating work from home
- We are deeply committed to ensuring diversity, equity and inclusion at all levels of our organization and fostering a community where everyone’s voice, perspective and experience is respected and heard
- We believe a strong team is made by investing in employees through mentorship, workshops and enrichment opportunities
Benefits:
- Comprehensive health benefits including medical, dental, and vision plans, as well as mental health resources
- Robust 401k program
- Employee Equity Plan
- Generous professional development allowance
- Interested in a gym membership, photography course or book? We have a Creativity and Wellness benefit!
- Flexible vacation and public holiday policy where you can take up to 35 days of PTO annually
- 16 paid weeks for all parents (birthing and non-birthing), regardless of gender, to welcome newborns, adopted and foster children
- Various snacks, goodies, and 2 free lunches weekly when at the office
Diversity, Equity and Inclusion at SoundCloud
SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us lead what’s next in music by understanding and empowering our creators and fans, no matter their identity. We acknowledge the challenges in the music industry, and strive to influence an inclusive culture where everyone can contribute respectfully and thrive, especially the historically marginalized communities that many of our creators, fans and SoundClouders identify with. We are dedicated to creating an inclusive environment at SoundCloud for everyone, regardless of gender identity, sexual orientation, race, ethnicity, migration background, national origin, age, disability status, or care-giver status.
At SoundCloud you can find your community or elevate your allyship by joining a Diversity Resource Group. Diversity Resource Groups are employee-organized groups focused on supporting and promoting the interests of a particular underrepresented community in order to build a more inclusive culture at SoundCloud. Anyone can join, whether you share the identity or strive to be an ally.
Ready to apply?
Apply to SoundCloud
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
Why you should join the SMS International team that is part of Mobile Platforms
The Mobile Platforms team at Klaviyo is responsible for empowering the over 150,000 Ecommerce clients we work with on a global scale to deliver effective experiences on mobile devices. This team focuses on performance optimization and continuous development of our Mobile Marketing Channels (SMS, Push Notifications, In App Messages, WhatsApp and RCS), Mobile SDKs (iOS, Android and React Native). While Email was how Klaviyo began, Mobile messaging is truly the way of the future.
The SMS International team within Mobile Platforms is responsible for the expansion of SMS capabilities into new countries and regions and is also spearheading the development of RCS as a new capability to be offered to customers alongside existing channels. We have an ambitious roadmap for 2026 that puts the team at the heart of the company’s objectives and it is an exciting time to join the team!
About the Role
As a Fullstack Software Engineer II joining the SMS International team you will be working with a team of 5 other colleagues to deliver RCS and SMS International expansion to meet the company’s objectives. You will get the chance to build brand new services, understand how they fit into the bigger picture and plan how to architect and scale them successfully to serve our customers.
Technologies we use (not exhaustive):
- Python, Django, Go, React, SQS, Celery, MySQL, DynamoDB, Elasticache, Redis
- Amazon Web Services (EC2, RDS, Aurora, etc.), Terraform, Kubernetes, Splunk, Buildkite, Grafana, Chronosphere and other modern DevOps tools
What we are looking for
- 3-5 years of experience in a software engineering discipline
- Experience with full stack application development
- Experience working with both monolithic and microservices architectures
- Experience with database design that can withstand high query volumes
- Experience with CI/CD pipelines
- Experience debugging performance issues and improving application performance
- An interest and aptitude for collaboration across teams and disciplines
Nice to Have
- Experience creating new services with scalability in mind. Exposure to large-scale system design
- Experience with AWS or any similar cloud provider
- Communication domain experience
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here
Our salary range reflects the cost of labour in the country where the job post is advertised. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
Apply to Klaviyo
As a Senior Software Engineer, you will be part of one of our autonomous agile teams. You will help us develop the services that power the Blacklane, work on improving our back-office system, or solve problems around our products which allow business partners to integrate with the Blacklane platform.
Our environment is composed of Ruby, Go, Typescript and Java services, designed using DDD. These services are deployed to our Kubernetes cluster and communicate via domain events using SQS and Kafka. We use diverse data storage technologies such as Postgres, MySQL, Elasticsearch, Redis, and DynamoDB. As for infrastructure and cloud resources, we predominantly use AWS and manage provisioning through Terraform.
YOUR CHALLENGE:
- Tackling unique challenges to tailor our products to specific markets.
- Upholding high standards through comprehensive test coverage, documentation, code reviews, and knowledge sharing.
- Investing time in optimizing the performance, usability, and maintainability of the systems under your care.
- Committing to personal growth by learning new skills and technologies.
- Contributing to a motivated, open-minded, and collaborative team focused on enhancing our guests' travel experiences.
ABOUT YOU:
- You are proactive, curious, and a team player.
- You are experienced (at least 5 years) with two or more programming languages.
- You have knowledge and experience (at least 5 years) with at least one of these languages: Ruby, Go
- You're familiar with the HTTP protocol and have some experience with using and/or developing REST APIs.
- You write quality code, maintainable and follow best practices. You are familiar with at least some of the challenges of distributed systems. You are not scared of working on an existing codebase.
- You have experience with or want to learn more about Event-driven architecture and domain driven design.
- You have experience with Docker and containerized environments. Knowledge of Kubernetes and Terraform is a plus.
About Blacklane
Our mission is simple but powerful: to become the world’s leading premium, global chauffeur service. Operating in 50+ countries, we reimagine chauffeur-driven rides by prioritizing reliability, innovation, and first-class service at every step. Blacklane is also at the forefront of sustainable mobility efforts, continuously working to reduce our operational impact on the planet.
Our Company Culture & Values
Blacklane has grown from a two-person startup in Berlin to a global team of over 300 people representing 54+ nationalities. Our culture is powered by our commitment to three core values: Care, Drive and Excellence.
- Care - We are invested in each other's well-being and professional growth.
- Drive - We act with pace and determination. We are ambitious, committed to a growth mindset, and champion ownership and delivery.
- Excellence - We understand our customers so we can exceed expectations.
We support our people through initiatives like Employee Resource Groups (ERGs), mentorship programs that bring our values to life.
✨ Why join Blacklane?
At Blacklane, our Compensation and Benefits strategies are designed to be fair and market-aligned. We combine base salary with variable elements and long-term incentives as part of our overall rewards framework.
In addition, we offer a benefits package tailored to each location, supporting health, wellbeing, time off, learning, and local needs. Some of the benefits for this role and country include:
Local perks – Germany (Berlin HQ)
🚉 Monthly BVG / Deutschlandticket subsidy to support your commute🚀Fair pay and benefits tailored to local markets
Do you have any questions or want to know more about our way of working? Feel free to contact us. We’re happy to connect!
We place great value on equal opportunities. Therefore, we welcome everyone to apply!
Ready to apply?
Apply to BLACKLANEAs a Senior Software Engineer, you will be part of one of our autonomous agile teams. You will help us develop the services that power the Blacklane, work on improving our back-office system, or solve problems around our products which allow business partners to integrate with the Blacklane platform.
Our environment is composed of Ruby, Go, Typescript and Java services, designed using DDD. These services are deployed to our Kubernetes cluster and communicate via domain events using SQS and Kafka. We use diverse data storage technologies such as Postgres, MySQL, Elasticsearch, Redis, and DynamoDB. As for infrastructure and cloud resources, we predominantly use AWS and manage provisioning through Terraform.
YOUR CHALLENGE:
- Tackling unique challenges to tailor our products to specific markets.
- Upholding high standards through comprehensive test coverage, documentation, code reviews, and knowledge sharing.
- Investing time in optimizing the performance, usability, and maintainability of the systems under your care.
- Committing to personal growth by learning new skills and technologies.
- Contributing to a motivated, open-minded, and collaborative team focused on enhancing our guests' travel experiences.
ABOUT YOU:
- You are proactive, curious, and a team player.
- You are experienced (at least 5 years) with two or more programming languages.
- You have knowledge and experience (at least 5 years) with at least one of these languages: Ruby, Go
- You're familiar with the HTTP protocol and have some experience with using and/or developing REST APIs.
- You write quality code, maintainable and follow best practices. You are familiar with at least some of the challenges of distributed systems. You are not scared of working on an existing codebase.
- You have experience with or want to learn more about Event-driven architecture and domain driven design.
- You have experience with Docker and containerized environments. Knowledge of Kubernetes and Terraform is a plus.
About Blacklane
Our mission is simple but powerful: to become the world’s leading premium, global chauffeur service. Operating in 50+ countries, we reimagine chauffeur-driven rides by prioritizing reliability, innovation, and first-class service at every step. Blacklane is also at the forefront of sustainable mobility efforts, continuously working to reduce our operational impact on the planet.
Our Company Culture & Values
Blacklane has grown from a two-person startup in Berlin to a global team of over 300 people representing 54+ nationalities. Our culture is powered by our commitment to three core values: Care, Drive and Excellence.
- Care - We are invested in each other's well-being and professional growth.
- Drive - We act with pace and determination. We are ambitious, committed to a growth mindset, and champion ownership and delivery.
- Excellence - We understand our customers so we can exceed expectations.
We support our people through initiatives like Employee Resource Groups (ERGs), mentorship programs that bring our values to life.
✨ Why join Blacklane?
At Blacklane, our Compensation and Benefits strategies are designed to be fair and market-aligned. We combine base salary with variable elements and long-term incentives as part of our overall rewards framework.
In addition, we offer a benefits package tailored to each location, supporting health, wellbeing, time off, learning, and local needs. Some of the benefits for this role and country include:
Local perks – UK (London)
💙 100% employer-paid health insurance for you and your dependents, with 24hr GP access
🌴 28 vacation days per year, increasing with tenure
🏦 Company pension with up to 5% employer contribution
🍽️ 15 GBP weekly Just Eat lunch vouchers for UK hub employees
💪 Your Mental and Physical Health → No compromise with Nilo and Wellhub
🎓 Continuous learning & certified coaching
🏢 Hybrid setup: 3 days a week in our London office
🚀Fair pay and benefits tailored to local markets
🚘Mystery Rides: Quarterly Voucher to enjoy personal trips around the world with Blacklane and experience our service from a guest’s perspective.
Do you have any questions or want to know more about our way of working? Feel free to contact us. We’re happy to connect!
We place great value on equal opportunities. Therefore, we welcome everyone to apply!
Ready to apply?
Apply to BLACKLANEAs a Senior Software Engineer, you will be part of one of our autonomous agile teams. You will help us develop the services that power the Blacklane, work on improving our back-office system, or solve problems around our products which allow business partners to integrate with the Blacklane platform.
Our environment is composed of Ruby, Go, Typescript and Java services, designed using DDD. These services are deployed to our Kubernetes cluster and communicate via domain events using SQS and Kafka. We use diverse data storage technologies such as Postgres, MySQL, Elasticsearch, Redis, and DynamoDB. As for infrastructure and cloud resources, we predominantly use AWS and manage provisioning through Terraform.
YOUR CHALLENGE:
- Tackling unique challenges to tailor our products to specific markets.
- Upholding high standards through comprehensive test coverage, documentation, code reviews, and knowledge sharing.
- Investing time in optimizing the performance, usability, and maintainability of the systems under your care.
- Committing to personal growth by learning new skills and technologies.
- Contributing to a motivated, open-minded, and collaborative team focused on enhancing our guests' travel experiences.
ABOUT YOU:
- You are proactive, curious, and a team player.
- You are experienced (at least 5 years) with two or more programming languages.
- You have knowledge and experience (at least 5 years) with at least one of these languages: Ruby, Go
- You're familiar with the HTTP protocol and have some experience with using and/or developing REST APIs.
- You write quality code, maintainable and follow best practices. You are familiar with at least some of the challenges of distributed systems. You are not scared of working on an existing codebase.
- You have experience with or want to learn more about Event-driven architecture and domain driven design.
- You have experience with Docker and containerized environments. Knowledge of Kubernetes and Terraform is a plus.
About Blacklane
Our mission is simple but powerful: to become the world’s leading premium, global chauffeur service. Operating in 50+ countries, we reimagine chauffeur-driven rides by prioritizing reliability, innovation, and first-class service at every step. Blacklane is also at the forefront of sustainable mobility efforts, continuously working to reduce our operational impact on the planet.
Our Company Culture & Values
Blacklane has grown from a two-person startup in Berlin to a global team of over 300 people representing 54+ nationalities. Our culture is powered by our commitment to three core values: Care, Drive and Excellence.
- Care - We are invested in each other's well-being and professional growth.
- Drive - We act with pace and determination. We are ambitious, committed to a growth mindset, and champion ownership and delivery.
- Excellence - We understand our customers so we can exceed expectations.
We support our people through initiatives like Employee Resource Groups (ERGs), mentorship programs that bring our values to life.
✨ Why join Blacklane?
At Blacklane, our Compensation and Benefits strategies are designed to be fair and market-aligned. We combine base salary with variable elements and long-term incentives as part of our overall rewards framework.
In addition, we offer a benefits package tailored to each location, supporting health, wellbeing, time off, learning, and local needs. Some of the benefits for this role and country include:
Local perks – Spain (Barcelona)
💙100% employer-paid health insurance for you and your dependents
🌴 28 vacation days per year, increasing with tenure
🍽️ 60€ / month Glovo budget for meals
💪 Your Mental and Physical Health → No compromise with Nilo and Wellhub
🏡 Monthly home office allowance to support remote work setup
🎓 Continuous learning & certified coaching
🏢 Weekly co‑working space access in Barcelona
🚀Fair pay and benefits tailored to local markets
🚘 Mystery Rides: Quarterly Voucher to enjoy personal trips around the world with Blacklane and experience our service from a guest’s perspective.
Do you have any questions or want to know more about our way of working? Feel free to contact us. We’re happy to connect!
We place great value on equal opportunities. Therefore, we welcome everyone to apply!
Ready to apply?
Apply to BLACKLANE
Senior Software Engineer - Data & AI Security
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* Fully remote from UK *
Big Ideas. Real People.
At Orca, in the right environment and with the right team, talent has no boundaries. This team spirit, together with our drive to always aim high, has quickly earned us unicorn status and turned us into a global cloud security innovation leader. So if you’re ready to join an amazing team of people who inspire each other every day, now is the time to find your place in our pod.
We’re looking for driven and talented people like you to join our R&D org. and our mission to change the future of cloud security. Ready to dive in and swim with our pod?
Highlights
- High-growth: Over the past seven years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities.
- Disruptive innovation: Our founders saw that traditional security didn’t work for the cloud so they set out to carve a new path. We’re relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
- Well-capitalized: With a valuation of $1.8 billion, Orca is a cybersecurity unicorn dominating the cloud security space. We’re backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
- Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.
About the role
As a Senior Software Engineer on the DSEC (Data & AI Security) team at Orca Security, you’ll be part of a core group responsible for protecting customer data and AI assets at scale. The team scans and analyzes a broad set of data stores and AI services - from managed databases and container images to object storage buckets and VMs - to find sensitive data, keys, PII, and misconfigurations. You’ll also map, model, and assess cloud AI services to give customers clear visibility and security insights across their data and AI footprint.
This role is a strong fit if you want to build the infrastructure that powers our Data Security Posture Management (DSPM) and AI security capabilities. You’ll help design and run scanning pipelines for managed databases across major cloud providers, implement detection engines for PII and secrets across file systems and databases, and enable our security researchers to discover data risks and AI misconfigurations quickly and reliably. Your work will directly affect how thousands of organizations understand and security their sensitive data and AI workloads.
We’re looking for engineers who care about data security, distributed systems, cloud databases, and AI/ML platforms - and who want to have a real impact by building robust, scalable security tooling. This is also a great opportunity to take ownership, drive initiatives, and grow through collaboration, mentorship, and technical leadership.
Our Stack: Python, Go, Postgres, Redis, Kafka, SQS, AWS, GCP, Azure
On a typical day you'll
- Design, implement, and maintain scalable backend services for scanning and analyzing managed databases, object storage, and data assets across cloud providers
- Build and extend infrastructure for detecting sensitive data, secrets, and keys across customers’ databases, buckets, VMs, and containers so customers can be alerted when risks are found
- Integrate and evolve detection engineers for PII, secrets, compliance, and vulnerabilities across Linux and Windows workloads.
- Map, model, and assess cloud AI services and managed databases to surface misconfigurations, exposure, and security posture
- Collaborate with security researchers and product managers to turn complex requirements into clear, impactful product features
- Write clean, efficient, and testable code, ensuring high performance and reliability at scale
- Participate in design and code reviews to keep quality and security standards high
- Lead features end-to-end - from design and planning through deployment and monitoring
- Improve system observability, performance, and resilience in production environments
- Stay current with developments in the data security, DSPM, and AI/ML security
About you
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience
- 5+ years of professional software development experience
- Strong experience building backend services or distributed systems
- Hands-on experience with Python or Go
- Experience with major cloud providers (Amazon Web Services, Google Cloud, Microsoft Azure)
- Strong foundation in software design principles, concurrency, memory management, data structures, and algorithms
- Passionate about building great products and solving real-world security challenges
- Self-driven, proactive, and comfortable taking ownership and initiative
- A strong communicator and a true team player who thrives in a collaborative environment
Bonus points for
- Experience with managed databases (RDS, BigQuery, CloudSQL, Azure SQL, Redshift, DynamoDB, …) and secure scanning/query patterns
- Familiarity with DSPM, or privacy engineering in cloud environments
- Experience with cloud AI/ML services (Vertex AI, Bedrock, SageMaker, Azure OpenAI, …)
- Background in cybersecurity, especially in cloud security domains
Ready to apply?
Apply to Orca Security
Senior Software Engineer, Internationalisation Platform
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At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
Why You Should Join the Internationalisation Platform Team
The i18n Platform team owns all the ways we create, process and deliver internationalisation features for our users at Klaviyo. As a Senior Software Engineer, you will be a key contributor and mentor leading complex, multi-component projects across the i18n platform. You will be involved in how we manage translations, deliver new localisation features, handle multiple currencies, and improve our internationalisation processes.
You can look forward to being a part of a highly technical team with significant domain expertise. We oversee tools and services that are leveraged across the organization from the frontend UI to backend data. The team also owns and orchestrates several services to manage the pipeline of translations with our localisation team.
As we look toward the next 6-12 months, we aim to focus on delivering LLM workflows to improve our translation capabilities, increase the availability of our Smart Translations product, and develop new features for handling different currencies in multiple regions.
Why you should join
We foster a culture of psychological safety, collaboration, and work/life balance through flexible hours and structured on-call rotations.
We practice a “you make it, you support it” attitude to our products and provide on-call support in case of incidents. We offer compensation for on-call rotations and expect to maintain a very low number of incidents requiring call-out. New engineers are onboarded to the on-call rotation gradually, typically joining the active rotation after their first 6 months and thorough training.
We are committed to your growth. You will be paired with a dedicated mentor and given time for focused skill development, including opportunities to attend relevant industry conferences and a growing suite of learning & development opportunities.
We enjoy a high degree of autonomy to generate innovative solutions across the entire system, learning directly from customers and suggesting cool new approaches.
Free lunch at our Aldgate office three times a week
Highly competitive salary, equity package, and comprehensive health benefits.
How You Will Make a Difference
- You will lead and drive the design and execution of complex, business-critical projects across the Internationalisation platform.
- You will be responsible for implementing new functionality and establishing design patterns for complex, multi-component systems.
- You will take full lifecycle ownership of features and projects, driving requirement refinement and setting the pace for all phases of execution.
- You will proactively collaborate with cross-functional partners to influence product requirements and communicate technical needs to other teams.
- You will be an active participant in all team processes and accountable for meeting the health and operational excellence (SLOs) of your area of ownership.
- You will help interview new engineering team members and actively mentor junior engineers in your product area.
What we are looking for
- A strong interest in internationalisation, localisation, and translation.
- A desire to serve our international customers and expand Klaviyo’s capabilities.
- 5+ years of demonstrable experience delivering high-quality, customer-facing software.
- Deep understanding of complex systems (or similar large-scale distributed systems) and strong systems thinking, with a proven ability to scale, observe, and maintain services.
- Familiarity with full stack development concepts and a strong aptitude to learn.
- Experience working with both monolithic and microservices architectures
- Experience with database design that can withstand high query volumes
- Experience debugging performance issues and improving application performance
- An interest and aptitude for collaboration across teams and disciplines
- An understanding of challenges in developing software across multiple languages and catering to non-English speaking users
- Thrives in a fast paced, customer focused, and strategic environment.
- A track record of prioritizing the needs and success of the company overall above the immediate needs of the team.
Nice to Have
- Proven experience with large-scale system design and driving the technical/architectural evolution of a product area.
- Experience with AWS or any similar cloud provider
- Experience with billing systems in multiple currencies
Technologies we use (not exhaustive):
- React, TypeScript, JavaScript, HTML, CSS
- Babel, Webpack, Eslint, Prettier
- REST, GraphQL, JSON Schema, JSON:API
- CDNs (Fastly, Cloudflare)
- GitHub, BuildKite
- MySQL, Redis, Pulsar, Memcache
- Python, Django, FastAPI, Go, Gin, React, RabbitMQ, Celery, MySQL, DynamoDB, Cassandra, Redis
- DeepL, Smartling, Stripe
- Amazon Web Services (EC2, RDS, Aurora, AWS Translate, etc.), Terraform, Kubernetes, Splunk, Chronosphere, Cortex, DX, and other modern DevOps tools
- Bedrock, Claude, Cursor, LangChain, OpenAI, Gemini,
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here
Our salary range reflects the cost of labour in the country where the job post is advertised. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
Apply to Klaviyo
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
About ICE
About the Role
As a Tech Lead, you are primarily responsible for the technical aspects of product development. You will mentor engineers, set technical standards, and make critical architectural decisions while remaining hands-on (50%–80% of your time) on backlog and roadmap delivery. You’ll work closely with product managers, engineering managers, and cross-functional teams to build scalable, reliable software and to create a culture of engineering excellence. You will also act as the line manager for your team, owning goal setting, performance dialogs, and ongoing coaching to help individuals grow and succeed.
We’re building a strong new foundation for our company on these products. You will be part of a modern, product-centric technology organisation where agile methodologies and principles are key pillars of our strategy. We’re creating the kind of teams talked about in Inspired by Marty Cagan, and following principles in Accelerate by Nicole Forsgren.
Technology Stack
Our copyright product is primarily running in AWS with the following technologies: - Java Springboot Microservices - DynamoDB - OpenSearch - Postgres - S3 - SNS - SQS - Docker / ECS - OpenTofu (Infrastructure as Code) - Serverless frameworks
Key Responsibilities:
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Technical Leadership: Provide mentorship, set standards, conduct code reviews, resolve complex technical issues, and foster innovation.
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Delivery Accountability: Own technical delivery outcomes, balancing scope, quality, and timelines.
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Architecture & Design: Collaborate on requirements, define specifications, design scalable systems, select technologies, and align decisions with product goals.
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Coordination: Drive cross-functional integration, communication, dependency management, and knowledge sharing.
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Line Management: Own goal setting, performance dialogs, coaching, and development plans for the team.
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Technical Evaluation: Stay current with trends, assess feasibility, reduce technical debt, and optimise performance.
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DevOps Ownership: “you build it, you run it” — own services end-to- end, ensure reliability and observability, lead incident management with business-hours on-call, and improve CI/CD, OpenTofu IaC, automation, security, and compliance.
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Shared Responsibilities: Partner with engineering management on engineering excellence, collaboration, planning and prioritisation, mentoring, and process improvement.
Requirements and Qualifications:
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Experience: 7+ years of professional software engineering experience, including technical leadership and line management.
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Technical Expertise: Strong expertise in Java (or similar), modern web technologies, databases, and cloud platforms.
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Architecture: Proven ability to design and implement scalable, reliable systems.
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Hands-on Leadership: Comfortable leading while remaining a significant individual contributor.
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Collaboration & Communication: Ability to partner with product, design, and business stakeholders and communicate clearly to technical and non-technical audiences.
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Quality & Delivery: Strong commitment to code quality, testing, and delivery excellence.
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Problem-Solving: Excellent analytical and problem-solving skills for complex technical challenges.
What we offer:
- Competitive local benefits based on your location
- We promote flexible working regarding time and/or place
- Both mental and physical health initiatives
- Corporate pension scheme
- Comprehensive training and development opportunities
- Industry insider events, team socials and company events
- Enhanced holiday allowance
We welcome candidates from all backgrounds, regardless of age, disability, gender, gender identity, gender expression, race, religion or belief, sexual orientation, socioeconomic background, and any other protected characteristic.
We are committed to making all stages of our recruitment process accessible to candidates with disabilities. Please speak to our recruitment team and we will work with you to make reasonable adjustments to ensure you can perform at your best throughout your application.
Ready to apply?
Apply to ICE