Why Verifone

For more than 30 years, Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone is one of the leading electronic payment solutions brands and among 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 working with leading retailers, merchants, banks, and third-party partners to invent and deliver innovative payment solutions 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 generation of secure payment systems or finding new ways to bring electronic payments to emerging markets, the Verifone team is dedicated to the success of our customers, partners, and investors. It is this passion for innovation that drives every Verifone employee toward 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.

What’s Exciting About the Role

Verifone is seeking a Kafka DevOps Engineer to join our Platform Engineering team. This is an operations-first role with a strong emphasis on scripting, automation, and pipeline development. You’ll be hands-on with day-to-day Kafka operations, reliability, tuning, and high availability for payment gateway solutions that process billions of transactions annually on-prem and in AWS Cloud. Beyond keeping the lights on, you’ll play a key role in building the data pipelines—of which Kafka is a core component—that power Verifone’s new AI, machine learning, and analytics initiatives. You’ll also be part of an active effort to migrate Kafka and related services to Kubernetes, giving you hands-on experience with a meaningful infrastructure modernization project. The technology footprint is broad: Redis, MongoDB, PostgreSQL, MySQL, Snowflake, and more—so you’ll grow well beyond a single-technology niche.

Key Responsibilities

Kafka Operations & Reliability

• Manage and support Apache Kafka clusters (including MSK), Kafka Connect ecosystem, and KSQL for high-throughput, fault-tolerant messaging and event streaming pipelines.
• Monitor system health, set up alerts, and drive incident response and root cause analysis (RCA).
• Handle day-to-day operational tasks including offset management, lag monitoring, consumer group management, and cluster rebalancing.
• Perform routine cluster maintenance: upgrades, configuration changes, scaling, and health checks.

Scripting, Automation & DevOps

• Develop and manage automation scripts using Python and Shell scripting to reduce manual toil and improve operational efficiency.
• Design, implement, and maintain robust CI/CD pipelines for patching automation.
• Build and maintain Infrastructure as Code (IaC) using tools such as Terraform, Ansible, or similar.
• Containerize and orchestrate workloads using Docker and Kubernetes, with the opportunity to help migrate Kafka and related services to Kubernetes.

Data Pipeline Development

• Build and optimize end-to-end data pipelines, with Kafka as a core streaming component alongside batch and ETL processes, enabling new AI, ML, and analytics use cases.
• Collaborate with development teams to implement best practices for data flow, security, scalability, and performance.
• Continuously identify and implement improvements to the software development lifecycle (SDLC).

Cloud & Infrastructure

• Manage cloud infrastructure on AWS (VMs, networking, storage, IAM, etc.).
• Support cloud migration tasks and assist in moving workloads between on-prem and cloud environments.

Required Qualifications / Skills

• 4+ years of overall engineering experience with 2+ years of hands-on experience supporting Kafka infrastructure in a large-scale production environment.
• Kafka Producer/Consumer microservices concepts and Kafka distributed architecture.
• Solid Linux fundamentals: networking basics, logs, system troubleshooting, process/memory, disk.
• Strong scripting and automation skills (Python, Bash) with a track record of reducing operational toil.
• CI/CD pipeline development and Infrastructure-as-Code experience (Terraform preferred).
• Cloud engineering skills, preferably AWS (EC2, VPC, IAM, MSK/ElastiCache, CloudWatch).
• Familiarity with observability tools (metrics/logs/tracing concepts) and incident response practices.
• Basic understanding of distributed systems tradeoffs (availability, consistency, partitions, backpressure).
• Strong communication and presentation skills with emphasis on executive communication.
• Flexible with regards to working shifts; on-call and weekends.

Preferred Skills (Highly Desired)

Data Engineering & Pipelines

• Data engineering skills including data analytics, data processing, ETL, and data lake technologies (batch and streaming, file formats like Parquet, table formats like Iceberg/Delta/Hudi, basic orchestration).
• Experience with AWS data tools (Athena, Glue, Iceberg, Redshift, etc.).
• Exposure to Kafka Streams, Apache Flink, or similar stream processing frameworks.

Database & Caching Technologies

• Operate Redis deployments for caching, ephemeral state, queues/streams, and rate limiting use cases.
• Relational DB experience: PostgreSQL and/or MySQL (indexing basics, vacuum/analyze, query plans, replication fundamentals).
• MongoDB operational familiarity (replica sets, elections, oplog basics, backup/restore).

Infrastructure & Security

• Container/Kubernetes familiarity (deployments, stateful workloads, storage classes).
• On-prem experience (VMware/KVM, storage, networking).
• Security fundamentals: least privilege, secrets management, encryption-in-transit/at-rest concepts.
• Experience working with PCI (Payment Card Industry Data Security) standards.

What We Offer

• Direct impact on Verifone’s global payment infrastructure—your work keeps billions of transactions flowing reliably every year.
• Ground-floor involvement in building the data pipelines that will drive Verifone’s AI, machine learning, and analytics strategy.
• Hands-on participation in a Kafka-to-Kubernetes migration—a resume-building modernization project from day one.
• Multi-technology exposure—Kafka, Redis, MongoDB, PostgreSQL, MySQL, Snowflake—so you grow as a well-rounded platform engineer, not a single-tool specialist.
• Mentorship from senior engineers and Kafka architects with deep production experience.
• Clear career progression path from mid-level to senior and lead engineer.
• Funded certification paths—Confluent (CCDAK, Certified Administrator), AWS (Solutions Architect, MSK Specialty), CKA—plus budget for courses and technical conferences.
• Hybrid/remote working flexibility with a collaborative team culture.
• Competitive compensation with performance-based incentives.

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.

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:

• Creating custom AI applications that will impact millions of citizens
• Generating high-quality training data for custom LLMs
• Upskilling and advisory services to spread the impact of AI

As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.

At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you.

You will:

• Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery.
• Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems. 
• Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability.
• Contribute to core platform features designed to be reused across diverse international client use cases.
• Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture.

Ideally you’d have:

• Bachelor’s degree in Computer Science or a related quantitative field 
• 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python,  Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP.
• Proven ability to architect scalable, production-grade applications with a strong handle on cloud environments and infrastructure health.
• Experience working directly within customer infrastructure to deploy, maintain, and troubleshoot complex, end-to-end solutions.
• A self-starting approach with the technical maturity to navigate ambiguous requirements and deliver reliable software.
• Driven async communication methodologies to reduce communication frictions

Nice to haves:

• Past experience working in a forward deployed engineer / dedicated customer engineer role
• Experience working cross functionally with operations
• Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape

Director, 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.

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.

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 London‑based Senior Engineering Manager to lead and grow the engineering team responsible for building and operating backend services supporting payment, checkout, and transactional workflows. You will partner closely with Product, Frontend, Platform, and Infrastructure teams to set technical direction, uphold engineering excellence, and deliver secure, scalable systems in high‑throughput environments.

This role sits at the core of Verifone's payments and checkout platform, where engineering leadership directly impacts secure, high‑volume transactions used globally. You'll be accountable for the health, delivery, and culture of a team building production‑critical systems that must perform reliably under real‑world load, evolving payment methods, and strict security requirements.

Required Skills and Experience 

Leadership & People Management

• Proven experience managing and mentoring software engineering teams
• Track record of hiring, developing, and retaining engineering talent
• Ability to set clear goals, run effective performance cycles, and foster a culture of accountability and growth
• Experience facilitating cross‑functional collaboration across Product, Design, Platform, and Infrastructure stakeholders
• Strong communicator able to translate technical complexity for non‑technical audiences

Technical Depth

• Solid hands‑on background in backend engineering — sufficient to credibly guide technical decisions, conduct design reviews, and support engineers day‑to‑day
• Familiarity with Node.js / TypeScript backend systems and modern backend frameworks (e.g., Hapi.js, Express, Fastify, or NestJS)
• Grounding in Clean Architecture, Domain‑Driven Design (DDD), and modular system design
• Understanding of RESTful API design, database modeling (MongoDB), and caching strategies (Redis)
• Comfort discussing cloud infrastructure (AWS), CI/CD pipelines, Docker, and Git workflows

Delivery & Process

• Experience owning end‑to‑end delivery across multiple concurrent workstreams
• Ability to balance speed of delivery with long‑term code quality, reliability, and maintainability
• Familiarity with agile methodologies and the ability to adapt process to team needs
• Experience managing roadmaps and working with Product to scope, prioritize, and sequence engineering work

Engineering Culture & Quality

• Passion for building high‑quality, testable, and well‑documented systems
• Champions automated testing, code review practices, and engineering best practices
• Data‑driven approach to reliability — comfortable with monitoring, incident response, and blameless post‑mortems

Desirable Skills and Experience

Payments & Security Domain

• Experience leading teams in fintech, payments, or e‑commerce environments
• Familiarity with payment provider integrations (e.g., Stripe, PayPal, Klarna) and flows such as authorization, capture, refund, and 3D Secure
• Awareness of PCI‑DSS requirements and security best practices in high‑compliance environments
• Understanding of fraud‑related considerations and risk in transactional systems

Production Engineering

• Experience overseeing high‑availability, fault‑tolerant systems in production
• Exposure to performance optimization, APM tooling (e.g., AppDynamics), and SLA management
• Familiarity with messaging systems such as Kafka, RabbitMQ, or Redis Pub/Sub

Platform & Architecture Exposure

• Experience working alongside frontend frameworks such as Angular or React
• Familiarity with server‑side rendering, iframe‑based widget embedding, and internationalization (i18n) systems
• Exposure to event‑driven or microservices architectures at scale

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.

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.

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 London‑based Senior Software Engineer (Node.js / TypeScript) to build and operate backend services supporting payment, checkout, and transactional workflows. You will collaborate closely with Product, Frontend, Platform, and Infrastructure teams to deliver secure, scalable APIs in high‑throughput environments.

This role sits at the core of Verifone’s payments and checkout platform, where backend engineering directly impacts secure, high‑volume transactions used globally. You’ll design and operate scalable, production‑critical systems that must perform reliably under real‑world load, evolving payment methods, and strict security requirements.

Required Skills and Experience Needed

Programming Languages

• TypeScript (version 3.x or higher)
• Node.js (version 16 or higher)

Backend Frameworks & Libraries

• Backend frameworks such as Hapi.js, or alternatives including Express, Fastify, or NestJS
• Validation using Joi
• Authentication and authorization using JWT and OAuth2

Architecture & Design

• Strong grounding in Clean Architecture and Domain‑Driven Design (DDD)
• Dependency Injection (e.g., InversifyJS)
• Repository and modular design patterns
• Experience building maintainable, testable backend systems

APIs & Data

• Design and operation of RESTful APIs
• API versioning and request validation
• Advanced filtering using RSQL or equivalent
• Experience with MongoDB (modeling, indexing, performance tuning)
• Experience with Redis for caching or messaging
• Database migrations and schema evolution

Cloud & Infrastructure

• Hands‑on experience with AWS services such as EC2, S3, Secrets Manager, and CloudWatch
• Docker and Docker Compose
• Strong discipline with CI/CD pipelines and Git workflows

Testing & Quality

• Automated testing using Jest or Mocha/Chai/Sinon
• End‑to‑end testing with Cypress (optional)
• Strong focus on code quality, reliability, and maintainability

Bonus Skills and Experience

Payments & Security

• Experience integrating payment providers such as Stripe, PayPal, or Klarna
• Knowledge of authorization, capture, and refund flows
• Experience with 3D Secure
• Awareness of PCI‑DSS requirements and security best practices
• Understanding of checkout and transactional domain flows

Production Engineering

• Performance optimization and debugging in production systems
• Exposure to monitoring or APM tools (e.g., AppDynamics or similar)
• Experience operating high‑availability or fault‑tolerant systems
• Familiarity with fraud‑related considerations

Frontend & Platform Exposure

• Experience working alongside frontend frameworks such as Angular or React
• Familiarity with RxJS and state management (NgRx or Redux)
• Server‑side rendering with Pug templates
• HTML/CSS with SASS or PostCSS
• Iframe‑based widget embedding

Additional Bonuses

• Fintech, payments, or e‑commerce domain experience
• Messaging systems such as Kafka, RabbitMQ, or Redis Pub/Sub
• Internationalization (i18n) systems
• Puppeteer for PDF or receipt generation

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.

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 global Infrastructure team designs, builds, and operates QRT’s high-performance compute and research environments. The team focuses on automation, scalability, and reliability across datacentres and research platforms, working closely with engineering, storage, and research groups worldwide.

Your Future Role within QRT
You will help automate all aspects of a growing, cutting-edge datacentre and research platform. You will build tooling, pipelines, and guardrails that turn network intent into safe, repeatable outcomes for QRT’s high-performance on-premise datacentre.

• Design and evolve the network automation framework (source of truth, templating, validation, change control).
• Build idempotent automation to provision and operate data centre fabrics at scale.
• Integrate with vendor APIs and SDKs (e.g. Arista EOS, NetQ etc.)
• Capture network intent as code, ensuring peer reviews and quality gates.
• Instrument the network with telemetry, alerting, and SLOs to drive automated remediation.
• Adhere to NetDevOps practices and share knowledge across the team.
• Collaborate with network and platform engineers to translate designs into automated workflows.
• Deliver frequent, incremental improvements through safe, tested changes.
• Monitor vendor and industry developments and propose practical adoption paths.

Your Present Skillset

• Advanced Python development for production-grade tools and services.
• Go (preferred) for performant tooling.
• Strong Ansible experience (roles, collections, YAML/JSON data models).
• Git proficiency including branching, pull requests, and semantic versioning.
• Observability fundamentals (Prometheus, Grafana, logging and tracing).
• Source of truth/CMDB systems (NetBox, Nautobot etc.).
• Linux networking (iptables, DHCP, DNS) and strong Bash scripting.
• Workflow orchestration (Temporal or equivalent).
• Network validation and testing tools (pyATS, NAPALM etc.).
• Containers and orchestration (Docker, Kubernetes).
• Secure secrets and configuration management (Vault, PKI best practices).
• Experience with data centre fabrics, QoS, and high-performance networking is 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.

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.

You will join the Security team, responsible for protecting systems, data, and access across the organisation. The team works closely with application owners, IT Engineering, HR, and Security stakeholders to design and operate secure, automated identity and access management processes across enterprise platforms.

Your Future Role within QRT

• Identity Lifecycle Management
  • Design, implement, and maintain automated processes for user provisioning, modification, and deprovisioning.
  • Ensure alignment between identity lifecycle policies and organisational access control requirements.
  • Integrate IAM solutions with HR systems, directories, cloud platforms, and enterprise applications.
  • Drive automation to eliminate manual identity and access management processes.
• Application Integration & Identity Engineering
  • Design, develop, and maintain custom identity integrations, including SCIM 2.0 provisioning bridges.
  • Build and maintain connectors between IAM platforms and enterprise applications (cloud and on premises).
  • Engineer integration solutions for applications that do not natively support modern identity standards (SCIM, SAML, OIDC, REST APIs).
  • Facilitate redesign or refactoring of legacy or non-integrated applications to enable automated lifecycle management.
  • Develop middleware, APIs, or automation services to ensure secure identity data exchange.
  • Contribute to application architecture discussions to ensure identity and access integration requirements are embedded by design.
  • Troubleshoot and optimise identity integrations across the enterprise.
• IAM Platform & Tooling Management
  • Configure, maintain, and enhance IAM platforms (SailPoint ISC).
  • Develop custom rules, workflows, connectors, and extensions within the IAM platform.
  • Monitor platform performance and proactively resolve system issues.
  • Collaborate with vendors and internal engineering teams to optimise IAM capabilities.
• Security and Risk Management
  • Support risk assessments related to identity governance and application access.
  • Contribute to identity management policies, standards, and architectural guidelines.
  • Respond to identity-related incidents and support root cause analysis.
  • Ensure secure coding and integration practices are followed across identity engineering work.
• Continuous Improvement & Innovation
  • Stay informed on industry trends, identity standards, and emerging IAM technologies.
  • Recommend enhancements to improve governance maturity and reduce operational overhead.
  • Participate in cross-functional engineering initiatives to expand identity automation capabilities.
  • Promote identity-as-code and infrastructure-as-code approaches where appropriate.

Your Present Skillset

• Bachelor’s degree in computer science, Information Security, Software Engineering, or related field.
• 5+ years of experience in IAM Engineering or Application Integration Engineering.
• Strong software engineering background with experience building production-grade integrations.
• Hands-on experience with IAM platforms such as SailPoint (IIQ or ISC) or similar.
• Proven experience developing SCIM 2.0 integrations and custom provisioning connectors.
• Strong experience working with REST APIs, JSON, OAuth2, SAML, OIDC, and modern authentication protocols.Experience integrating identity solutions with cloud and on-prem enterprise applications.
• Experience redesigning or enabling identity integration for non-integrated or legacy applications.
• Strong scripting and automation skills (e.g., Python, PowerShell).
• Experience with version control systems (e.g., Git) and CI/CD pipelines.
• Solid understanding of RBAC, ABAC, SSO, MFA, and directory services (AD/Azure AD).
• Familiarity with security and compliance standards (ISO 27001, SOX, GDPR).
• Excellent problem-solving, analytical, and communication skills.

• Preferred

  • Experience contributing to application codebases to enable identity integration.
  • Experience building middleware or identity proxy services.
  • Knowledge of containerisation (Docker/Kubernetes) and cloud-native integration patterns.
  • Exposure to DevSecOps practices.
  • Financial services industry experience.
  • CISSP, CISM, or equivalent security certification.
  • IAM-specific certifications (e.g., CIAM, SailPoint Certified Implementation Engineer).
  • SailPoint certifications (IIQ or ISC).

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.

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. 

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.

You will join the Cloud Infrastructure team in London. The team designs, builds, and operates cloud platforms that support trading and research workloads, including digital asset and crypto-related systems. The team works closely with development, trading, and operations teams to deliver secure, reliable and scalable cloud solutions.

Your Future Role within QRT

• Design and implement deployment strategies for applications on AWS in collaboration with development, trading and operations teams
• Drive the adoption of CI/CD practices to automate and streamline software delivery
• Develop and maintain monitoring solutions to ensure availability, performance and reliability of cloud-based applications
• Work with developers to enhance application scalability, reliability and security in cloud environments
• Provide operational support and troubleshooting for issues related to cloud deployments and infrastructure
• Evaluate and introduce new tools and technologies to improve efficiency of DevOps processes
• Act as a liaison between engineering and business teams to facilitate effective communication and collaboration

Your Present Skillset

• Extensive experience with AWS services and infrastructure (e.g. EC2, S3, VPC and related components)
• Proficiency in scripting languages such as Python or Bash for automation
• Strong understanding of CI/CD principles and experience with pipelines using tools such as Jenkins or GitLab CI
• Experience with infrastructure-as-code tools such as Terraform, CloudFormation or AWS CDK
• Hands-on experience with distributed computing systems and processing large datasets
• Practical experience with containerisation and orchestration (e.g. Docker, Kubernetes)
• Good understanding of Linux systems, including networking and performance optimisation
• Familiarity with time synchronisation concepts and protocols such as NTP or PTP
• Strong communication and collaboration skills, with the ability to work effectively across teams and departments

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.

Location: London / Hybrid (2 days a week in the office) 
Reporting to: Platforms Engineering Manager

The role 

As a Platform Engineer in our Cloud Foundations team, you will play a crucial role in designing, implementing and maintaining our cloud infrastructure on Google Cloud Platform (GCP). You'll be responsible for ensuring the scalability, security, and reliability of our cloud environment, enabling Rightmove to deliver innovative solutions efficiently and cost-effectively. This is a team focused on setting standards rather than fighting fires, defining cloud governance, controls and guardrails so developers can deploy confidently on a secure, audited platform. You’ll work closely with database engineers and the security team, shaping cloud foundations and helping developers understand how the platform works; from Kubernetes through to core cloud concepts. The role balances building and evolving the platform with light-touch support, handling rare incidents, and focusing on making the platform more resilient for the future.

For a glimpse into the technical make-up of the UKs favourite property portal works, head to our tech blog.

• Designing and building secure, scalable cloud infrastructure on GCP that supports our products as they grow
• Helping move legacy and on‑premise workloads into the cloud, and improving things along the way
• Automating how our infrastructure is built and managed using Terraform, so we can move faster and more reliably
• Running and evolving our container platforms using GKE and Helm
• Shaping how our cloud networking works, including load balancing, CDNs, API gateways, and service mesh
• Making sure our platforms are secure, resilient, and aligned with cloud security best practices
• Setting up and maintaining monitoring, logging, and observability so issues are easy to spot and fix
• Keeping an eye on performance and spend, and finding smart ways to optimise both
• Digging into complex infrastructure problems and working with others to resolve them

• Hands‑on experience working as a cloud infrastructure engineer, ideally with a strong focus on GCP
• Confidence using Infrastructure as Code, especially Terraform
• Experience building and running containerised workloads using Docker and Kubernetes (GKE)
• Exposure to service mesh technologies and how they support modern platforms
• A solid understanding of networking and how it all comes together in the cloud
• Experience using CI/CD pipelines (such as GitLab CI) to deploy and manage infrastructure
• Comfort working with at least one programming or scripting language in an infrastructure context
• Experience with secrets management, monitoring, logging, and observability tooling
• A good grasp of cloud security principles and compliance considerations
• Practical experience optimising cloud costs and using resources effectively

It’d be great if you also had (but it’s not essential):

• Experience with event‑driven or microservices architectures, such as Pub/Sub or Kafka
• Exposure to tuning or operating search or data platforms like Elasticsearch
• Familiarity with serverless concepts and when they make sense
• Experience improving infrastructure performance and reliability
• An understanding of AI/ML infrastructure needs on GCP
  

Our approach to AI: 
At Rightmove, we believe software and product are ultimately people problems, and everything we build aims to improve the lives of others. We see AI as a helpful way to create more space for the human side of our work, from understanding real needs to making sure we are solving the right problems in the right way. There is an expectation that you are proactive in exploring how AI can support your own workflow and productivity, and that you approach it with curiosity and an open mind.

Your impact 

As a Senior Security Engineer, you will architect and manage the security of our groundbreaking ML-based platform and High Performance Computing (HPC) infrastructure. This role requires a highly proactive problem-solver who enjoys a fast-paced environment and possesses the curiosity to dive into diverse technical challenges. 

You will act as a versatile, T-shaped engineer, overseeing security solutions from initial requirement gathering to final implementation. By combining deep technical know-how with strong collaborative skills, you will ensure our security posture evolves as quickly as our research, managing the end-to-end lifecycle of our defense systems.

What you will do

• Secure Architecture and Product Engineering: Participate in the design and perform security reviews of our evolving AI platforms and underlying HPC infrastructure.
• Infrastructure as Code (IaC) Security: Partner with our DevOps / SRE team to harden our cloud infrastructure and our network, ensuring security by design, automation and auditability through Policy as Code.
• Third Party Systems Secure Integration: Perform deep-dive technical assessments of third-party platforms, AI solutions, Cloud or SaaS providers and support secure integration or deployment.
• Secure CI/CD: Design and implement automated security controls within our CI/CD pipelines to ensure code is secure from commit to production without slowing down research velocity.
• Threat Modeling & Risk Assessment: Conduct proactive threat modeling and risk assessment, support teams in the implementation of remediation plan and audit expected outcomes.
• Incident Response: Act as a L2/L3 escalation point for the remediation of complex vulnerabilities and security incidents.
• Identity & Access Management: Implement our state-of-the-art Zero Trust framework, ensuring robust access control and consistent enforcement of the principle of least privilege.
• Risk Management and Compliance Automation: Bridge the gap between technical controls and regulatory requirements (GDPR, GxP, EU AI Act) by automating evidence collection and risk posture monitoring (CSPM).
• Security Tooling Development: Build or integrate custom internal tools that automate repetitive security tasks, shifting our operational load from manual toil to scalable engineering.
• End-to-End Solution Delivery: Manage the full lifecycle of security controls, from initial user needs analysis and requirements gathering to structured testing and phased implementation and communication, ensuring high-quality deployment followed by data-driven continuous improvement.

Skills and qualifications 

Essential

• Cloud Engineering Proficiency: Deep technical knowledge of cloud platform security (GCP preferred) including Network and VPC design, IAM policy construction, Cloud resources hardening and Cloud native security services.
• Analytical Risk Management and Problem Solving: Proficiency in assessing multi-faceted risks and decomposing complex security issues into manageable tasks and providing data-driven recommendations to stakeholders.
• Coding Skills: Ability to write small production-grade code (e.g. in Python) and to automate security tasks, build custom tooling, etc.
• DevSecOps Tooling: Hands-on experience with Infrastructure as Code (Terraform) and version control systems (GitHub) to manage security configurations.
• Container Security: Proven ability to secure containerized workloads (Kubernetes/Docker), focusing on image signing, runtime protection, and orchestration security.
• Network Security Fundamentals: Solid understanding of modern networking, including zero-trust architecture, encryption in transit (TLS/mTLS), and API gateway security.
• Identities and Access Management: Proficiency in implementing a state of the art IAM strategy both from an organisational and technical standpoints in a multi-tenant cloud environment.
• Collaborative Security Culture: Strong ability to support researchers in AI and Drug Discovery, leveraging excellent listening skills, to provide pragmatic advice that balances high-security requirements with business agility.
• Adaptability & Communication: Excellent soft skills with the ability to navigate an ambiguous, high-growth environment and explain technical risks to non-security audiences.
• Offensive Mindset: Strong understanding of the MITRE ATT&CK framework and the ability to think like an adversary to identify "blind spots" in our defense.

Nice to have

• AI/ML Security Interest: Familiarity with the unique security challenges of an AI first company and other common AI solutions such as LLMs.
• Regulated Industry Experience: Prior experience working in BioTech, Pharma where data integrity and regulatory compliance are paramount.
• Advanced Security Certifications: Holding industry-recognized credentials such as GSE, OSCP, CISSP or professional-level Cloud Security Engineer certifications.
• Application Security (AppSec): Experience with SAST/DAST/SCA tools and a strong understanding of the OWASP Top 10 vulnerabilities.
• Zero Trust Implementation: Past success in transitioning an organization away from traditional perimeter-based security toward a mature Zero Trust model.
• SecOps Maturity: Experience building or scaling a Security Operations Center (SOC) or a Modern Detection and Response (MDR) function.
• Collaboration Tool Mastery: Advanced experience securing and automating SaaS. In particular, Google Workspace, the Atlassian stack (Jira/Confluence), Slack.
• Bio-Pharma Experience: Prior exposure to GxP validation, clinical trial data protections, or the nuances of Lab-IT security.
• Privacy Engineering: Knowledge of PETs (Privacy Enhancing Technologies) like differential privacy or homomorphic encryption.

Bristol or London, 3 days in the office, 2 days WFH

At Fractile, we’re building what we believe will be the world’s fastest AI inference chip from the ground up. We’re balanced across hardware and software engineering, and HW/SW co-design is real here. We move fast, and we help each other move fast. We care about each other, the software we ship, and the people who rely on it.

To validate behaviour, our functional simulator allows us to iterate at scale with real software before the hardware exists. It runs across multiple machines, supports large experiments, and helps verify the correctness of our low level firmware, runtime stack and compiler lowering.

You’ll be there for the first end-to-end runs against realistic device behaviour, the debugging sessions that unblock whole teams, and the moments where simulator fidelity turns into better software, better silicon decisions, and faster bring-up.

What you’ll do

• Build a functional simulator of Fractile’s AI accelerator hardware including a custom ISA
• Implement the device models and behaviours that matter for software correctness: MMIO, interrupts, DMA, memory behaviour, concurrency, and error paths
• Work closely with runtime, kernel, firmware and HW engineers to shape simulator interfaces
• Make it usable at scale: tracing, determinism/reproducibility, CI integration, and containerised workflows
• Collaborate daily with hardware, software, and ML engineers to validate assumptions and close gaps early

What we’re looking for

• Strong C and comfort working in large low-level codebases
• Good intuition and knowledge of low-level hardware behaviour: registers/MMIO, interrupts, memory ordering, concurrency, and failure modes
• You enjoy hard system-level problems, and you take them end-to-end until the results are measurable
• Computer Science, Electronic Engineering, Maths, Physics, or related degree and 3+ years of industry experience

Nice to have

• You’ve built or extended hardware simulators or emulators.
• SystemC experience
• QEMU device model experience is ideal, even better in the TCG
• Docker and orchestration tooling (Kubernetes)
• Familiarity with RISC-V and x86 architectures
• Python experience useful

If you want to build the simulator that makes rack-scale software real before rack-scale hardware exists, come build it together.

Scopely is looking for an Engineer to serve on and elevate our new casual game, Monopoly GO! team and work from the UK.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.    

MONOPOLY GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide.

What You Will Do

• Working closely with feature owners, the game design team and other development teams to implement new features within a feature team
• Work with game client developers to implement networked communications between game client and server
• Design and develop our game server and associated tools and libraries, with a focus on performance, scalability and consistency
• Write automated, high-quality tests (unit, integration etc.) and work with QA teams to improve gameplay experience, curtail exploits and ensure that everything works smoothly
• Implement tools to empower our liveops and game design teams in the creation of new and exciting game-play experiences 

What We're Looking For   

• 3+ years as part of a professional game development team or other relevant area
• Strong computer science and engineering fundamentals (data structures, concurrency, design patterns, algorithms)
• Mastery of Unity and  C# or another OO language, including experience with asynchronous and multi-threaded programming paradigms
• Hands-on experience with cloud computing (AWS, GCP...) and low-latency, high-scale distributed systems
• Knowledge of Unix-like operating systems
• Experience with Redis (or other database systems), ORMs and migration scripts
• Ability to write efficient low-latency, low-IO code
• Good understanding of how to prevent intrusions, injections, cheating etc.

Bonus Points 

• Familiar with highly available back-end systems and servers for games
• AWS, Docker, Terraform, Kibana, Chef, Ansible
• Experience with automated testing
• Experience with stateful and stateless game server architectures

About the Opportunity

Become part of the AI revolution at Contentful where we build real world AI solutions for thousands of active customers.
At Contentful you will help imagine, drive, and build ML solutions which produce immediate customer impact by helping them get more done than they ever imagined. We are looking for an excellent machine learning engineer who understands and has experience in this field and current Generative AI trends. If you're passionate about pushing the boundaries of what's achievable with ML products on a large scale content management system, we want you on our team.

What to expect? 

• Measure and ensure the high-quality output of ML workloads for our enterprise customers.
• Design, build, and measure production software in the Contentful Platform.
• Conduct focused research and testing using tools like Jupyter Notebook.
• Optimize generative AI products for accuracy, speed, and scalability.
• Integrate ML cloud solutions and adapt them to our large-scale use cases.
• Integrate prompt engineering and fine-tuning for customer use cases.
• Develop software that scales to meet the demands of high-load customer workloads.
• Lead design reviews with peers and stakeholders to decide amongst available technologies.
• Drive the ML education in the team and establish a high standard of quality & ownership

What you need to be successful?

• Proven experience as a technical leader in a product software development environment
• Proven Track Record in Model Development, including successfully developing and deploying LLM-based models for various NLP tasks in real-world applications with production workloads
• Proven ability to work backwards from customer needs to deliver ML-based features that meet those needs
• Ability to organize and prioritize competing workloads
• Familiarity with distributed systems and cloud services (e.g., AWS, Azure, GCP)
• Solid understanding of machine learning principles
• Experience with container frameworks such as Docker or Kubernetes
• Constructive Problem-Solving: As a natural problem-solver, you bring forward ideas that lead to practical solutions and contribute to product growth.
• Up-To-Date on The Latest Updates on LLM Development & Research: From RAGs to Open-Source models over Agent Architectures – you have an inherent drive to stay up-to-date on what is the latest and greatest

Preferred:

• Background includes machine learning and AI implementation
• You can translate a research paper into a PoC if the code does not exist

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

About the Opportunity

Contentful is experiencing rapid growth, and we're on the lookout for a driven Senior Platform Engineer to join our Core DataTeam. In this pivotal role, you'll be at the heart of our data operations, collaborating with developers and internal stakeholders to create cutting-edge tools for data customers while maintaining a highly adaptable platform.

What to expect? 

• Software Development
• Lead the design, development, testing, and deployment of scalable and maintainable software solutions for our data platform.
• Collaborate with cross-functional teams to understand requirements and translate them into technical specifications.
• Data Orchestration
• Architect and implement systems for efficient data orchestration, ensuring optimal performance and reliability.
• Work closely with the Platform Engineers to integrate new technologies and tools into the data platform ecosystem.
• Performance Optimization
• Identify and address performance bottlenecks in the data platform, ensuring optimal data processing and access speed.
• Implement monitoring and alerting systems to proactively identify and resolve issues.
• Problem-Solving
• Daily challenges related to data management, performance optimization, and security.
• Responsibility
• Substantial impact on the stability and performance of Contentful's Data Platform.
• Continuous Learning
• Staying updated with emerging technologies and industry trends is encouraged for your professional growth.
• Collaboration
• You'll work closely with a collaborative team of developers and stakeholders to achieve shared goals.
• Supportive Culture
• Contentful cultivates a supportive culture where team members help each other succeed and innovate through collaboration.

Your role as a Senior Software Engineer at Contentful promises dynamic challenges, collaboration, personal growth, and a supportive team environment. Join us for an exciting journey!

What you need to be successful?

• You have 5+ years of Engineering experience
• You have proficiency in cloud technologies (AWS preferred)
• You have proficient coding skills in Python, (Golang & TypeScript are a plus)
• You are proficient with Infrastructure as Code, Terraform (Terragrunt is a plus)
• You are proficient in CI/CD tools, setting up complex workflows with a focus on CircleCI 
• You have knowledge of Kubernetes & Docker & Helm
• You are experienced with Git
• You have experience with streaming services
• Desirable skills: You are familiar with Apache Airflow and/ or AWS Redshift

You possess strong skills in communication, problem-solving, collaboration, diversity appreciation, and full professional English proficiency, enabling effective and inclusive interactions in diverse contexts.

If you believe we're a good fit but don't meet all the points, please reach out to us. We value diverse perspectives and welcome your unique skills and experiences. Let's explore the possibilities together.

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

About the Opportunity

Join Contentful as a Full Stack Software Engineer and Innovate with Automations, Workflows, and Collaboration Tools.

Become a part of the innovative team at Contentful, where we empower thousands of customers to manage content at scale. We're seeking talented Full Stack Software Engineers who are passionate about building scalable, high-performance applications using modern technologies. If you're excited about pushing the boundaries of what's possible in the domain of Automations, Workflows, and team collaboration within the Contentful ecosystem — and have experience with TypeScript, React, and Node.js — we'd love to have you on our team.

What to expect? 

• Collaborate and Innovate: Work closely with product managers, designers, and other engineers to build best-in-class automation, workflow, and collaboration features for our customers.
• Full Stack Development: Design, develop, and maintain scalable frontend and backend features using TypeScript, React, and Node.js.
• Collaboration Tools Integration: Implement and integrate collaboration technologies to enhance team productivity and improve user experiences across the platform.
• Holistic Thinking: Consider components and systems while considering a holistic user experience.
• Rapid Problem-Solving: Quickly fix bugs and solve problems to enhance customer satisfaction.
• Data-Driven Development: Utilize analytics to inform product decisions and improve features.
• Continuous Improvement: Participate in code reviews and contribute to improving our development processes.
• Stay Current: Keep up-to-date with the latest industry trends especially in the domain of automations, workflows, and collaboration tools.

What you need to be successful?

• Proven Experience: Demonstrable experience as a Full Stack Software Engineer in a product development environment.
• Technical Proficiency: Strong skills in TypeScript, React, and Node.js. Interested in clean code practices and familiarity with enterprise architectural design patterns.
• Containerization and Orchestration: Experience with Docker and Kubernetes.
• Cloud Services Familiarity: Knowledge of cloud platforms like AWS, Azure, or GCP.
• Problem-Solving Skills: Natural problem-solver who brings forward ideas leading to practical solutions and product growth.
• Collaborative Mindset: Excellent communication skills and the ability to work effectively in a team environment.
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced environment.

Preferred:

• DevOps Practices: Understanding of CI/CD pipelines and DevOps methodologies.
• Past Project Experience: Previous experience working with automation engines and/or building collaboration features and team workflow tools highly appreciated but not required.

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

About the Opportunity

Become part of the AI revolution at Contentful where we build real world AI solutions for thousands of active customers.
At Contentful you will help imagine, drive, and build ML solutions which produce immediate customer impact by helping them get more done than they ever imagined. We are looking for an excellent machine learning engineer who understands and has experience in this field and current Generative AI trends. If you're passionate about pushing the boundaries of what's achievable with ML products on a large scale content management system, we want you on our team.

What to expect? 

• Measure and ensure the high-quality output of ML workloads for our enterprise customers.
• Design, build, and measure production software in the Contentful Platform.
• Conduct focused research and testing using tools like Jupyter Notebook.
• Optimize generative AI products for accuracy, speed, and scalability.
• Integrate ML cloud solutions and adapt them to our large-scale use cases.
• Integrate prompt engineering and fine-tuning for customer use cases.
• Develop software that scales to meet the demands of high-load customer workloads.
• Lead design reviews with peers and stakeholders to decide amongst available technologies.
• Drive the ML education in the team and establish a high standard of quality & ownership

What you need to be successful?

• Proven experience as a technical leader in a product software development environment
• Proven Track Record in Model Development, including successfully developing and deploying LLM-based models for various NLP tasks in real-world applications with production workloads
• Proven ability to work backwards from customer needs to deliver ML-based features that meet those needs
• Ability to organize and prioritize competing workloads
• Familiarity with distributed systems and cloud services (e.g., AWS, Azure, GCP)
• Solid understanding of machine learning principles
• Experience with container frameworks such as Docker or Kubernetes
• Constructive Problem-Solving: As a natural problem-solver, you bring forward ideas that lead to practical solutions and contribute to product growth.
• Up-To-Date on The Latest Updates on LLM Development & Research: From RAGs to Open-Source models over Agent Architectures – you have an inherent drive to stay up-to-date on what is the latest and greatest

Preferred:

• Background includes machine learning and AI implementation
• You can translate a research paper into a PoC if the code does not exist

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

About the opportunity

Join Contentful as a Senior AI Software Engineer (f/m/d) and innovate with AI Integrations

At Contentful, we empower thousands of customers to manage content at scale with speed, flexibility, and precision. We are seeking talented Senior AI Software Engineers (f/m/d) to join our AI Platform team—a group dedicated to building and maintaining an internal AI platform that accelerates innovation across our organization.

As a key contributor, you will help shape the internal AI ecosystem by developing scalable, high-performance AI integrations, APIs, tools and documentation that empower feature teams to efficiently test, deliver and maintain cutting-edge AI-driven products. Acting as both a support and consultancy resource, you’ll collaborate closely with feature teams to enhance their development capabilities and bring AI-powered solutions to life. By building intuitive internal tooling and fostering seamless integration of AI technologies, your work will drive efficiency and innovation throughout Contentful.

If you are passionate about advancing AI technology, enabling teams with powerful tools, and redefining how we build and deliver AI solutions, we’d love to have you join us. Together, we’ll build systems that set new standards for AI integration and empower our teams to create smarter, more impactful content solutions.

What to expect? 

• Collaborate and Innovate: Work closely with product managers, designers, and other engineers to build best-in-class AI-enabled features for our customers, ensuring seamless integration of AI technologies with existing systems.
• Platform Development: Design, develop, and maintain scalable AI platform features using TypeScript and Node.js, to enable feature teams, while ensuring they are compatible with other services, and APIs.
• AI Integration: Implement and integrate AI technologies, such as generative AI, machine learning models, or NLP, to enhance our platform’s capabilities, optimize processes, and improve user experiences.
• Holistic Thinking: Think critically about the interactions between AI models and product components to ensure a cohesive and intuitive user experience.
• Rapid Problem-Solving: Quickly fix bugs and solve problems, particularly related to AI performance, model integration, or data pipeline issues, to enhance customer satisfaction.
• Continuous Improvement: Participate in code reviews and contribute to improving our AI development processes, ensuring that the AI components are scalable, efficient, and maintainable.
• Stay Current: Keep up-to-date with the latest industry trends, particularly in the domains of AI and machine learning, ensuring the platform stays competitive by leveraging cutting-edge AI technologies.

What you need to be successful?

• API and Service Design: Proven experience in building APIs and services that efficiently handle large volumes of traffic. Deep interest in clean code practices and familiarity with enterprise architectural design patterns
• Serverless Architectures: Experience with serverless architectures, ideally edge compute environments such as Cloudflare Workers.
• Asynchronous Systems: Experience with building and maintaining asynchronous systems for automation and bulk use cases.
• Containerization and Orchestration: Experience with Docker and Kubernetes, especially in deploying AI models or microservices.
• Enterprise Solutions: Knowledge with implementing enterprise ready governance features such as RBAC, audit logging, and compliance frameworks. 
• Cloud Services Familiarity: Knowledge of cloud platforms like AWS, Azure, or GCP. Experience with services such as AWS SageMaker, Google AI, or Azure Machine Learning is a plus.
• Problem-Solving Skills: A natural problem-solver who brings forward innovative ideas to integrate and features within product workflows, leading to practical solutions and product growth.
• Collaborative Mindset: Excellent communication skills and the ability to collaborate effectively in a team environment.
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced, AI-driven environment, ensuring AI and software systems align with business objectives.

Preferred:

• AI and Machine Learning Expertise: Skills in integrating and implementing AI/ML solutions within a product development environment. Skills in foundational models, prompt engineering and understanding to validate the quality of AI products.
• Platform Experience: Experience in developing platform features to enable internal teams
• Full Stack Experience: Strong skills in TypeScript, React, and Node.js.

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best

What We're Looking For

We’re looking for a Backend Engineer to help develop and scale the Lightning AI platform, spanning APIs, infrastructure, billing, security, and integrations. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Extensive experience writing efficient, maintainable code in Go. Familiarity with best practices in testing, readability, and optimization is essential.
• Broad knowledge of backend and frontend systems, with experience building and scaling APIs, CLI tools, billing systems, and security protocols. Exposure to frontend frameworks is a plus.
• Experience with cloud platforms like AWS, GCP, or Azure and designing systems that are reliable, performant, and scalable. Familiarity with containerization (Docker, Kubernetes) is a strong advantage.
• Proven ability to take ownership of key features and drive end-to-end development
• Commitment to software quality, test automation, and continuous delivery. Experience proactively managing technical debt and speeding up time to production.
• Hands-on experience as a backend or product engineer in a SaaS technology company
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

We are a small development team within DRW supporting multiple web-based GUIs used by traders and IT across the globe. Our code is primarily written in TypeScript, utilizing Node, NestJS, and Docker for back-end microservices; React powers the front-end.

We're seeking a Senior JavaScript/TypeScript Engineer to join our team as we scale to more users within the company. The position offers the opportunity to work on both front-end and back-end code, tight feedback with users, and opportunity to influence the design and architecture of a growing system.

Requirements:

• Strong software engineering background
• Strong experience in JavaScript/TypeScript or other object-oriented programming
• Experience in performance tuning data-intensive systems
• Comfortable with ownership of a significantly large and complex codebase

Desirable skills:

• Experience with refactoring existing software to provide performance or architectural improvements while preserving current functionality
• Experience with Docker
• Experience with writing integration tests
• Experience optimizing distributed systems
• Open-source contributions or side projects
• Experience or interest in finance
• Experience with Node.js
• Experience or interest with WebAssembly and/or Rust

This position can be based out of our London or Chicago office.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-KS1

As part of the Data Infrastructure team you will be supporting mission critical big data platforms, to ensure they are fully performant, reliable, available and secure. We call it data infrastructure engineering, also known as DataOps or Database Administration or SRE.

The role is a mixture of development of tooling and operational support for our platforms, two aspects that go hand-in-hand. It requires attention to detail and curiousity about how the systems work under the hood, and gives you a wide base of skills from low level system tuning to general coding. 

We manage four main storage platforms, namely:

• Apache Solr (~2.2 PB)
• Apache HBase (~450 TB)
• PostgreSQL (~15 TB)
• Kafka (~60 TB)

These platforms are all open source, written in Java, Scala or C, and we maintain in-house builds and patching of them. We use a variety of open-source and in-house developed tooling to manage these services, mostly written in Rust and Python, which run primarily on hundreds of servers in multiple data centres and in the cloud.

We maintain a balance between project work and operational/ad-hoc work for all members in the team, whether they are senior or recent graduates, and your day-to-day work will be a mix of these.

The exact project work will depend on your experience, but we will scope it out collectively to ensure it is both achievable and delivers benefit. Some example projects given to recent graduates are:

• Coding mapreduce jobs to validate data between two multi-TB+ hbase clusters (to run in hours rather than months)
• Building out a python code stack to transparently migrate production clients between clusters (without losing any data or requiring any downtime)
• Building and testing new HBase builds and deploying them live (without putting everyone in Brandwatch out of a job)
• Creating a platform for rolling out our data management systems using Apache Airflow (to stop people re-writing custom job management systems)
• Rolling out a DR solution for hadoop on AWS (while keeping the system performant and not bankrupting the company)

If you're joining the team as a graduate engineer we'll be focusing on developing your knowledge of the storage platforms, how to program against them and how to troubleshoot issues. The aim is that you'd be able to help with the staging support by 3-6 months, and join the rest of the team supporting the production systems in 12 months. You'll also be expected to take a full part in the life of the team and, as your experience grows, start designing the infrastructure we run.

This role is based in Brighton, UK, but working remotely will be possible once the initial 6-12 months of training is complete.

Who we are looking for

In house training for the storage systems and our tooling is a necessary part of this role, but we are looking for someone with a keen interest in large scale storage infrastructure.A successful candidate will be expected to have the following:

• An interest in how computer infrastructure actually works, and a passion for learning
• Interest, and ideally production experience, running storage systems, eg. as part of a selfhosted service, a home lab or as part of academic studies
• Experience with Linux systems administration, including experience of trouble shooting
• Fluency with one or more scripting languages, ideally Bash or Python
• Experience helping your peers
• Pride in the quality of your work
• Experience with any of the following will be beneficial:
  • Development experience, in Python, Java, Rust, C/C++ or Golang.
  • Upstream open-source contributions
  • Academic research in scalability, distributed systems or storage infrastructure
  • Kubernetes experience, ideally running or writing Operators Experience with Docker and with CI/CD pipelines

The Team

This is an outstanding opportunity to join one of the largest alternative asset managers. Technology is central to Man’s business strategy, and we are constantly evolving to stay ahead. Our culture embraces change and innovation, with engineering at the heart of our operating platform.

We are seeking Software Engineers with deep expertise in C# and .NET to lead the design and development of mission-critical systems across our domain. You will play a key role in shaping technical strategy and driving architectural decisions within a high-performing team. You should have the enthusiasm for leveraging AI development tools to accelerate delivery and driving their adoption across the team.

A great chance to collaborate, and learn alongside, highly skilled engineers whilst building up core financial and order management knowledge. New joiners will get the chance to work on the latest and best technologies for the challenges ahead.

Role Responsibilities

• Lead the end-to-end delivery of complex software solutions—from requirements gathering and architecture design to development, testing, and production deployments
• Own and drive long-term technical initiatives and architectural improvements across systems
• Collaborate closely with stakeholders to align technical solutions with business goals
• Champion engineering best practices, including CI/CD, automated testing, and scalable design patterns
• Conduct code reviews and provide technical guidance to peers and junior engineers
• Proactively identify and reduce technical debt, improve system resilience, and optimize performance
• Lead incident response and root cause analysis for production issues
• Contribute to the evolution of our engineering culture and platform strategy

Key Competencies

Essential

• 3-5 years of professional experience in software engineering with C# and .NET
• Proven experience in architectural design, system scalability, and distributed systems
• Strong knowledge of Microsoft SQL Server, including schema design, query optimization, and performance tuning
• Embracing agentic engineering — willingness and ability to work effectively with AI -assisted development tools as part of daily workflow
• Ability to balance delivery of business value with long-term technical strategy
• Excellent communication and leadership skills, with the ability to influence and drive consensus
• Strong advocate for collaborative development practices and continuous improvement

Advantageous

• Experience with cloud platforms (e.g., Azure or AWS) and containerization (e.g., Docker, Kubernetes)

We're looking for a Platform Engineer to join our Application Platform team. You'll help build and operate the deployment platform, tooling, and developer experience that every engineering team at dunnhumby relies on to ship software to production.

This role can be based from either our London or Manchester office.

You'll join at a moment when we're moving our retail analytics platform from monthly bundled releases to continuous per-service deployment on Kubernetes. You'll be hands-on with that migration in your first few months and then stay on long-term as a core member of the team that owns and evolves the platform. It's a clear path into senior platform engineering for someone who has shipped production Kubernetes work and wants to grow their craft on a platform used by hundreds of engineers.

Responsibilities

• Build and maintain the platform primitives that enable service teams to deploy independently, including ArgoCD application manifests, GitOps repository lifecycles, reusable Helm chart templates, and External Secrets Operator configuration.
• Pair with engineers across product and data teams as they onboard onto the new platform, addressing repeated questions at the template layer to prevent recurring issues.
• Contribute to platform design discussions and help shape the paved road that engineers across dunnhumby build on.
• Author and maintain reusable GitLab CI pipeline templates covering build, test, publish, deploy, and post‑deploy stages.
• Work with service teams to migrate pipelines onto the platform standard and retire bespoke per‑service deployment scripts.
• Continuously improve build times, pipeline reliability, and developer feedback loops.
• Respond to platform alerts during working hours, triaging ArgoCD sync failures, secret synchronisation errors, and flaky pipelines.
• Join the Application Platform on‑call rotation once ramped up (typically after the first few months).
• Instrument platform tooling with structured logging and dashboards to improve visibility without manual investigation.
• Write unit and integration tests to meet SonarQube coverage requirements and create smoke tests for deployment workflows — no green CI, no merge.
• Keep migration playbooks, ArgoCD setup guides, and per‑service pipeline documentation accurate and up to date.
• Share learnings with the squad through regular knowledge‑sharing sessions.

What we expect from you:

• Strong professional software or platform engineering experience, shipping code or infrastructure to production within a team environment
• Hands‑on Kubernetes experience on GKE, AKS, or EKS, with confidence using Deployments, Services, Ingress, ConfigMaps, Secrets, and RBAC
• Helm experience, including writing or substantially modifying charts, with a solid understanding of values files, templates, hooks, and chart dependencies
• Experience with GitLab CI or a comparable CI tool (e.g. GitHub Actions, Azure DevOps, Jenkins, CircleCI), having built or meaningfully modified pipelines rather than just used them
• Production experience with Python or Go, with the ability to discuss real code from professional work
• Confidence working with Linux, Bash, Docker, and standard Unix tooling
• Strong Git practices within a team environment, including branching strategies, PR/MR workflows, review feedback, and merge conflict resolution
• A proven track record of shipping to production in a professional team setting (not solely prototype or personal projects)
• Exposure to ArgoCD, Flux, or another GitOps tool is a strong plus
• Experience with External Secrets Operator, Vault, or similar secret‑sync patterns is beneficial
• Familiarity with Terraform, multi‑cloud environments (GCP and Azure), observability tooling (e.g. New Relic, Datadog, Prometheus, Grafana), or contract testing with Pact would be valuable

Soho, London

Hybrid working: 3 days in the office Tues - Thurs

The Role

We are seeking a Data Engineer to join our Data Team, playing a vital part in building the complex, scalable systems that power our data strategy. You will be at the heart of architectural discussions, influencing system design and delivering the high-quality data solutions that bring millions of fans closer to the sports they love. This is a fantastic opportunity to tackle the challenge of optimising our data platforms for real-time AI/ML workloads, mentor talented junior engineers, and make a significant impact on our business. 

At LiveScore Group, we’re the proud home of three of the most exciting brands in the sports and gaming world: LiveScore, LiveScore Bet and Virgin Bet. A fully owned and operated ecosystem that converges the two worlds of sports media and sports betting. We’re proud of the high ratings for our commitment to excellence and fueling fan’s passion for sport driving us to the top.

We don’t just lead; we innovate. Our cutting-edge products and immersive experiences set the standard, but it’s our people who truly make the difference. Every day, our team embody our values: adaptability, teamwork, a fan-driven approach, and an ever-curious mindset that fuels our ambition. As we scale and continue to create a culture that allows all employees to thrive, we know we need the most talented people with diverse backgrounds, perspectives and skills. If you’re good at what you do, come and join us. The more inclusive we are, the more amazing experiences we can create for our users.

We know that job descriptions can sometimes seem daunting, and you might not feel you tick every box. But, if you’re passionate about the role and have relevant experience, we want to hear from you! 

Key Responsibilities 

• Contribute significantly to critical system design decisions, helping to architect data solutions that support real-time workloads.
• Partner with cross-functional teams to translate intricate business needs into effective and innovative data solutions.
• Mentor and provide expert technical guidance to junior engineers, fostering a culture of continuous learning and growth.
• Design data systems to solve problems and improve reliability & cost-effectiveness. 
• Develop and maintain robust, secure integrations with core internal systems and critical third-party platforms. 
• Implement advanced monitoring and alerting, to ensure high system reliability and minimal downtime. 

Skills, Knowledge and Experience 

• You have expert-level proficiency in a core programming language like Python, Java, or Scala, with an emphasis on AI/ML data processing.
• You possess experience with cloud data services and technologies, ideally within the GCP ecosystem (e.g., Dataflow, Pub/Sub, BigQuery, Vertex AI).
• Experience with Airflow environment management and Docker 
• You can clearly and concisely explain intricate technical concepts to both technical and non-technical stakeholders.
• You have extensive experience designing and optimising both real-time and large-scale batch data processing frameworks.
• You have a proven ability to deploy and maintain data infrastructure using Infrastructure as Code (IaC) principles with tools like Terraform.
• You can demonstrate the application of data governance, privacy, and security best practices in a regulated environment.
• You are a proactive and curious problem-solver, skilled in anticipating and resolving system inefficiencies.
• You work seamlessly with cross-functional teams, translating complex requirements into robust data solutions.
• You take full responsibility for the quality, reliability, and performance of the data solutions you help create. 

What can we offer? 

• Fridays Off: Say goodbye to Friday meetings and hello to a three-day weekend! This benefit is part of a trial, to be reviewed in 2026
• Company Performance Bonus
• Flexible Working Agreements where applicable
• Private Healthcare Scheme + Employee Enhanced Assistance
• Enhanced Family Leave - Maternity, Shared Parental & Adoption Leave: up to 6 months at full pay and 6 months at half pay. Paternity leave: up to 4 weeks at full pay
• Subsidised Gym Membership
• Annual Travel Card Loan & Ride to Work Scheme
• Life Assurance (x3 salary)
• Contributory Pension Plan
• Virgin Family: Giving you access to exclusive Virgin offers and experiences
• Thursday drinks in the office and regular socials

Location: UK, Portugal, Remote

Department: Engineering

Employment Type: Permanent

About YLD:

Our goal is to help our clients keep moving forward. We work with them to build the skills and capabilities they need to stay ahead of the competition, and we know our success only happens when they succeed. We’re a team of curious, talented people, and we’re committed to making YLD a place where great people want to work, grow, and stay.

We’re a remote-first consultancy specialising in software engineering, product design, and data. Our teams are based across London, Lisbon, and Porto, and we create digital solutions that continue to deliver value long after our work is done.

About the role:

As a Senior Software Engineer at YLD, you’ll be part of a client team building innovative products. We’re looking for someone curious, passionate, driven, and enthusiastic. You should be skilled in problem-solving and experienced in designing scalable, resilient, and fault-tolerant architectures. You’re also an effective communicator and a strong team player. Together with your team, you’ll thrive in a fast-paced engineering environment, delivering outstanding results and exciting projects.

Preferred Skills:

• Strong backend engineering experience, with Go as a primary or preferred language;
• Comfortable working in cloud environments such as AWS, Azure, or Google Cloud;
• Experience building and maintaining APIs and backend services, including SaaS platforms;
• Familiarity with modern infrastructure and distributed systems;
• Solid understanding of modern deployment practices, including Docker, containers, and Kubernetes;
• Strong background in testing strategies, including TDD, across the full system lifecycle, with a focus on performance optimization;
• Use AI tools to augment your work, applying sound judgement to adopt emerging technologies where they genuinely add value and increase your impact as an engineer.

You should apply if you are:

• Self-motivated, proactive and always looking for ways to improve and develop yourself;
• A good communicator, both in writing and verbally. You’ll be able to explain technical ideas and concepts in business-friendly language;
• Detail-oriented;
• Possess strong problem-solving skills that balance innovation with pragmatic technology choices to solve business needs;
• Used to working in a team-oriented, collaborative environment;
• Analytical and problem-solving-oriented;
• A genuine believer in diversity and fairness.

Benefits you’ll receive:

• Company Private Health care
• Enhanced fully paid maternity and paternity leave for up to 6 months
• Enhanced pension scheme (only for UK)
• 25 days annual holiday (excluding Public Holidays)
• £/€2000 annual learning and development budget for training courses and conferences
• £/€300 annual allowance for additional hardware
• Wellbeing & Performance Support via Oli including Therapy and Coaching
• Discretionary Bonus (depending on Company performance and results)
• Generous referral schemes

Our typical recruitment process:

• 1st Interview with a Talent Partner (30/45 mins)
• Technical Interview with our Senior Developers (1h30)

Get a glimpse of what it's like working at YLD! 🤳

Check out our LinkedIn page

We live and breathe our values, and know you will too:

• Growing every day
• Including everyone
• Relationships built on honesty and ethics
• Inspiring solutions
• Winning together

We’re an equal-opportunity employer and value diversity in all its forms. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability. We also offer a remote-first working environment, with flexible working and work–life balance as standard for all employees.

Who we are

The role

At Helsing we develop and deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations, so must be both reliable and frictionless. Taken together, this brings a whole host of interesting engineering challenges across a wide variety of fields that you’ll help us solve. To give some examples:

• Distributed systems (e.g., intermittent connectivity and byzantine actors)

• Embedded computing (e.g., resource-constrained compute and reverse-engineering)

• Robotics (e.g., control systems and tasking)

• Networking (e.g., long-range low-bandwidth radios and cross-medium routing)

• Deployment infrastructure (e.g., air-gapped devices and heterogenous fleets)

• Security (e.g., data sharing in low-trust, no-TLS networks and actually-secret data handling)

• Machine learning (e.g., systems for model development, storage, and dissemination)

In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.

The day-to-day

• Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.

• Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.

• Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.

• Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.

• Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust and Python, with Python mainly living in the ML-heavy sections.

• Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.

• Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirrelling away at something that doesn’t matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.

You should apply if you

• Can write legible, maintainable, and performant code.

• Communicate well in English, both verbally and in writing.

• Enjoy collaborating with others, including reviewing code and pair programming.

• Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).

• Have backend development experience, ideally with a language like Rust, Java, Go, or C++.

• Are familiar with backend interface tools like REST, GraphQL, gRPC/Protocol Buffers, and Arrow.

• Strive to improve yourself, your peers, and the culture you work in over time.

• Feel like ethical considerations are an inherent part of engineering.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• Rust and Python specifically.

• Container-based and cloud-native application architectures (e.g., Docker, Azure, AWS).

• Metrics tooling (e.g., Prometheus, Grafana, ELK).

• SQL and streaming database systems.

• Routing protocols (e.g., IGP, BGP).

• Cryptographic protocols (e.g., Signal, WireGuard).

• Hardware interfaces (e.g., Arduino).

• Robotics (e.g., control systems).

• Production ML systems.

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• A focus on outcomes, not time-tracking

• Competitive compensation and VSOP options

• Relocation support

• Social and education allowances

• Regular company events and all-hands to bring together employees as one team across Europe

• A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one 

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

About the role

We’re looking for a motivated Senior Robotics Software Engineer (m/f/d) to join our software team who'll create cutting-edge, unmanned ground vehicles for governmental and civilian applications. In your day-to-day work, you’ll design efficient and scalable software systems to enable seamless communication, collaboration, and performance optimisation across robotic devices.

To join our team, you should be excited to:

• Design and implement robotic software architectures to ensure robust device communication and optimise system performance
• Develop and integrate software solutions for sensors, actuators, and electronic systems in robotics applications
• Define and optimise communication protocols (e.g., CAN, Ethernet, wireless) for secure and reliable data exchange
• Collaborate with cross-functional teams to ensure seamless integration of hardware and software components
• Establish best practices for modular and scalable software development in robotics
• Conduct rigorous testing and validation to ensure the performance, reliability, and security of robotic systems
• Provide technical documentation to support knowledge sharing and streamline development processes
• Mentor and guide team members in adopting architectural principles and best practices

Your Profile

• Over 5 years of hands-on experience in robotics software development
• Proficient in C++ with extensive experience using ROS2 (Robot Operating System)
• Deep understanding of robotic systems architecture, including sensors, actuators, embedded computing platforms, and real-time system constraints
• Well-versed in communication protocols such as CAN, Ethernet, TCP/UDP, and serial interfaces
• Strong background in Linux environments, containerization with Docker, and implementation of modern CI/CD pipelines
• Proven problem-solving and debugging skills, particularly in systems involving hardware-software integration.
• Bachelor’s degree, Master's degree or Ph.D. in Computer Science, Robotics, or a related field
• Willingness to travel (UK and EU primarily) and work in operational or military environments during field trials and customer events
• Fluency in English is required and German is nice to have
• Eligibility to work in the UK is required

Benefits and Perks

• Competitive salary and benefits package
• A shaping role in an emerging dual use company
• Opportunity to work with a highly innovative, international, and dynamic team
• Room for professional growth and development
• Participation in the company's success, with access to regular events, knowledge exchange and meetups

We recognise that members of the Armed Forces community may have unique career paths and may face particular challenges due to service life. We welcome applications from members of our Armed Forces Community and will take relevant circumstances into account during our recruitment process. 

Any information you provide will be treated in confidence and used only to help us understand any context we should consider, such as career gaps or frequent relocations, all with the aim of ensuring members of the Armed Forces community are not unfairly disadvantaged. 

About Graphcore 

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

We turn large-scale system measurements into decisions. Our team runs workloads across clusters of machines and collects detailed performance data. The challenge isn’t running the measurements—it’s deciding what they mean, and whether a system is good enough to enter production.

You will work with results from real systems and help answer questions like:

• Is this system behaving as expected?
• Is performance stable enough to trust?
• Does this meet the criteria to enter production?
  
  

This work includes systems engineering and analysis. It involves understanding variability, repeatability, and the differences between signal and noise.

You won’t be confined to a single role. You may shape measurements, influence how they are run, or improve how results are interpreted. You are free to specialise, but the team is responsible for leaving no gaps.

This is not a dashboarding or reporting role in the traditional sense. The goal is to produce outputs that support real engineering decisions.

We’re looking for engineers who:

• Think carefully about uncertainty and evidence
• Prefer clarity over presentation
• Are comfortable challenging conclusions when data is weak

Selection criteria:

Our engineers typically bring significant practical experience and sound engineering judgement.

Depth in one area is valued, but the ability to work across boundaries is equally important.

Essential

• Strong software engineering experience, typically gained across multiple projects or systems over several years
• Experience working in Linux-based environments, ideally with distributed or high-performance systems
• Proficiency in Python
• Experience with automation and CI/CD systems (e.g. GitLab CI, Jenkins, GitHub Actions)
• Ability to design, implement, and run experiments or tests that produce meaningful results
• Ability to interpret results and communicate findings clearly, with an emphasis on accuracy and usefulness to decision-making
• Comfortable working in areas where requirements are not fully defined and judgement is required

Desirable

• Experience working with large-scale or distributed systems (e.g. clusters, cloud platforms, HPC environments)
• Experience with performance, reliability, or systems-level testing/measurement
• Familiarity with pytest or similar frameworks for structured test/measurement execution
• Experience analysing system behaviour under load (compute, network, or ML workloads)
• Experience working with containerisation, orchestration, or provisioning systems (e.g. Docker, Kubernetes, OpenStack)
• Proficiency in other applications programming languages (e.g. C++)7. Exposure to data analysis, statistics, or interpreting variability in results

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Sponsorship

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.

About Graphcore 

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

We turn large-scale system measurements into decisions. Our team runs workloads across clusters of machines and collects detailed performance data. The challenge isn’t running the measurements—it’s deciding what they mean, and whether a system is good enough to enter production.

You will work with results from real systems and help answer questions like:

• Is this system behaving as expected?
• Is performance stable enough to trust?
• Does this meet the criteria to enter production?
  
  

This work includes systems engineering and analysis. It involves understanding variability, repeatability, and the differences between signal and noise.

You won’t be confined to a single role. You may shape measurements, influence how they are run, or improve how results are interpreted. You are free to specialise, but the team is responsible for leaving no gaps.

This is not a dashboarding or reporting role in the traditional sense. The goal is to produce outputs that support real engineering decisions.

We’re looking for engineers who:

• Think carefully about uncertainty and evidence
• Prefer clarity over presentation
• Are comfortable challenging conclusions when data is weak

Selection criteria:

Our engineers typically bring significant practical experience and sound engineering judgement.

Depth in one area is valued, but the ability to work across boundaries is equally important.

Essential

• Strong software engineering experience, typically gained across multiple projects or systems over several years
• Experience working in Linux-based environments, ideally with distributed or high-performance systems
• Proficiency in Python
• Experience with automation and CI/CD systems (e.g. GitLab CI, Jenkins, GitHub Actions)
• Ability to design, implement, and run experiments or tests that produce meaningful results
• Ability to interpret results and communicate findings clearly, with an emphasis on accuracy and usefulness to decision-making
• Comfortable working in areas where requirements are not fully defined and judgement is required

Desirable

• Experience working with large-scale or distributed systems (e.g. clusters, cloud platforms, HPC environments)
• Experience with performance, reliability, or systems-level testing/measurement
• Familiarity with pytest or similar frameworks for structured test/measurement execution
• Experience analysing system behaviour under load (compute, network, or ML workloads)
• Experience working with containerisation, orchestration, or provisioning systems (e.g. Docker, Kubernetes, OpenStack)
• Proficiency in other applications programming languages (e.g. C++)7. Exposure to data analysis, statistics, or interpreting variability in results

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Sponsorship

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.

About Graphcore 

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. 

Job Summary

We decide whether entire racks of machines are good enough to enter production. Our team measures and evaluates large-scale Linux systems—from a single rack to data-centre scale. We don’t just run benchmarks; we determine whether a system behaves correctly, and whether it is reliable enough to be trusted.

The work spans designing workloads, building execution systems, and interpreting results. A measurement is only useful if it leads to a decision.

You won’t be confined to a narrow role. Some engineers here focus on infrastructure, others on workloads or analysis—but everyone contributes to understanding system behaviour at scale. You are free to specialise, but as a team we are responsible for leaving no gaps.

You might find yourself:

• Expanding measurement coverage from small clusters to full racks
• Designing workloads that expose system behaviour
• Building systems to run experiments across large clusters
• Interpreting results and defining what “good enough” looks like

This is not a pure infrastructure or data role. The work combines systems engineering, measurement, and judgement.

We’re looking for engineers who are comfortable working where the right answer isn’t obvious, and where careful measurement matters more than output volume.

Selection criteria:

Our engineers typically bring significant practical experience and sound engineering judgement. Depth in one area is valued, but the ability to work across boundaries is equally important.

Essential

• Strong software engineering experience, typically gained across multiple projects or systems over several years
• Experience working in Linux-based environments, ideally with distributed or high-performance systems
• Proficiency in Python
• Experience with automation and CI/CD systems (e.g. GitLab CI, Jenkins, GitHub Actions)
• Ability to design, implement, and run experiments or tests that produce meaningful results
• Ability to interpret results and communicate findings clearly, with an emphasis on accuracy and usefulness to decision-making
• Comfortable working in areas where requirements are not fully defined and judgement is required

Desirable

• Experience working with large-scale or distributed systems (e.g. clusters, cloud platforms, HPC environments)
• Experience with performance, reliability, or systems-level testing/measurement
• Familiarity with pytest or similar frameworks for structured test/measurement execution
• Experience analysing system behaviour under load (compute, network, or ML workloads)
• Experience working with containerisation, orchestration, or provisioning systems (e.g. Docker, Kubernetes, OpenStack)
• Proficiency in other applications programming languages (e.g. C++)
• Exposure to data analysis, statistics, or interpreting variability in results
  

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Sponsorship

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications. 

About Graphcore 

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

We decide whether entire racks of machines are good enough to enter production. Our team measures and evaluates large-scale Linux systems—from a single rack to data-centre scale. We don’t just run benchmarks; we determine whether a system behaves correctly, and whether it is reliable enough to be trusted.

The work spans designing workloads, building execution systems, and interpreting results. A measurement is only useful if it leads to a decision.

You won’t be confined to a narrow role. Some engineers here focus on infrastructure, others on workloads or analysis—but everyone contributes to understanding system behaviour at scale. You are free to specialise, but as a team we are responsible for leaving no gaps.

You might find yourself:

• Expanding measurement coverage from small clusters to full racks
• Designing workloads that expose system behaviour
• Building systems to run experiments across large clusters
• Interpreting results and defining what “good enough” looks like

This is not a pure infrastructure or data role. The work combines systems engineering, measurement, and judgement.

We’re looking for engineers who are comfortable working where the right answer isn’t obvious, and where careful measurement matters more than output volume.

Selection criteria:

Our engineers typically bring significant practical experience and sound engineering judgement. Depth in one area is valued, but the ability to work across boundaries is equally important.

Essential

• Strong software engineering experience, typically gained across multiple projects or systems over several years
• Experience working in Linux-based environments, ideally with distributed or high-performance systems
• Proficiency in Python
• Experience with automation and CI/CD systems (e.g. GitLab CI, Jenkins, GitHub Actions)
• Ability to design, implement, and run experiments or tests that produce meaningful results
• Ability to interpret results and communicate findings clearly, with an emphasis on accuracy and usefulness to decision-making
• Comfortable working in areas where requirements are not fully defined and judgement is required

Desirable

• Experience working with large-scale or distributed systems (e.g. clusters, cloud platforms, HPC environments)
• Experience with performance, reliability, or systems-level testing/measurement
• Familiarity with pytest or similar frameworks for structured test/measurement execution
• Experience analysing system behaviour under load (compute, network, or ML workloads)
• Experience working with containerisation, orchestration, or provisioning systems (e.g. Docker, Kubernetes, OpenStack)
• Proficiency in other applications programming languages (e.g. C++)
• Exposure to data analysis, statistics, or interpreting variability in results
  

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Sponsorship

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.

Please note that this position is based in London, United Kingdom - relocation and visa support is provided if required. 

THE BEST WORK OF YOUR CAREER

Trade Republic is the largest savings platform in Europe - we operate in 18 countries, serving +10 million customers who trusted us with over 150B in assets. But we’re striving for more.

We have a bold mission to empower everyone to build wealth with easy, safe, and free access to financial systems. You will have the opportunity to grow your career by collaborating with a team of outstanding talents and state of the art technology to build a lasting, positive future for millions.

WHAT YOU WILL BE DOING

• Be part of a cross-functional team
• Build, test, and ship features/products using modern tools such as Vue, TypeScript, Jest, Webpack, and WebSockets
• Proactively take responsibility for the long-term code quality and frontend architecture
• Participate in mentorship of more junior colleagues and set them up for success
• Experience with or a strong desire to learn backend technologies such as Kotlin, PostgreSQL, Kafka, Docker, and Kubernetes is a plus

WHAT WE'RE LOOKING FOR

• You have developed and shipped scalable user-facing features using component-based UI frameworks
• You have a strong urge to deliver reliable and long-term maintainable software using development and continuous delivery
• You feel comfortable in an agile environment and have a self-driven personality with a “hands-on” approach, and are able to identify and solve problems independently and efficiently
• You are passionate about building a modern financial system that redefines how people invest their money in today’s markets
• You have a proven track record of mentoring and onboarding team members

WHY YOU SHOULD APPLY NOW 

Our culture rewards ownership, excellence, and high energy. We care deeply about outcomes and hold each other accountable - we’re here to win and fix one of the largest challenges Europeans face - closing the pension gap and democratising wealth. If this gets you fired up, reach out!

The team:

You’ll join a cross-functional department of Software Engineers, Product Managers and Designers, all collaborating together with the wider business to achieve impactful product outcomes.

Everyone is involved from day one in shaping opportunities that provide outsized value to both clients and suppliers on Risk Ledger, keeping our users as top priority.

We care deeply about building the right thing, in order to fundamentally shift mindsets in the cybersecurity industry. We ship quickly & continuously in order to learn and iterate - whilst always pushing for the highest possible quality bar and keeping security and automation front and centre.

The core of our stack is GoLang, AWS, and Vue.js, with modern design philosophies and a cloud-native approach.

This role:

Our Product Engineers play a crucial role in our user and product experience. You will be focused on solving innovative end-to-end product challenges in the best manner for our customers. Whilst you may have a natural inclination towards the backend or frontend, we expect you to have a good breadth of knowledge across the stack. You'll delve into all aspects of our tech stack and product portfolio, having meaningful impact on our customers, and the overall success of the business.

As a Staff Engineer, you'll typically be anchored to a single squad - often in a Tech Lead position - but you'll be expected to influence across all of our squads, and help to set high standards and consistency across the organisation. You should expect to operate at varying levels of detail across the stack and may have to manage multiple priorities simultaneously.

You’ll be collaborating on a daily basis with designers, product managers, other engineers and the wider business to create a great product experience and continuously ship value to our users. You'll be expected to mentor others within your squad and instil extremely high quality bars and effective modes of operation across our technology organisation. You will also have input into our engineering strategy.

In the role you will:

• Collaborate to deliver an exceptional product. From understanding initial needs to crafting outstanding solutions, you'll work directly with product managers and designers to bring ideas to life. And by that, we don’t just mean implement requirements, we expect our engineers to understand our market and customers in order to be able to influence product strategy and challenge assumptions.
• Develop high quality systems and code. Working across our stack, you’ll design and develop the systems that underpin the Risk Ledger product and advance us towards our vision.
• Move fast, with an eye for quality. You enjoy moving fast while maintaining an extremely high quality bar through testing, automation, discipline, consistency and best practice, whilst treading a careful line in pragmatism and cost-benefit analysis.
• Enjoy being a generalist. We are building an amazing and talented team from a diverse set of backgrounds and skillsets. Our engineers are empowered to work in all areas of our platform, and across all areas of the business, directly contributing to the wider success of the company.
• Nurture the talent and growth of the team. You will be able to mentor junior - senior level colleagues to level up both hands-on technical and architectural decision making skills.
• Have an impact. We're a growing startup - so you’ll have the opportunity to get involved in areas outside of your day to day role.
  
  

You’ll have:

• Worked in multiple engineering teams focused on building a customer focused SaaS product; weighing up delivering value to clients against technical excellence.
• Deep experience with either backend or frontend development.
  • Backend language preferably Go; or something like Java, C# or Python
  • Frontend: Typescript preferably with VueJS or React
• In either case, reasonable additional experience with:
  • SQL and 'NoSQL' Data stores, with deep knowledge of data model design
  • Containers and Orchestration: Docker / Kubernetes
  • Cloud providers and cloud native services, preferably AWS
  • Event driven systems, and messaging services such as SQS/SNS, Kafka or RabbitMQ
• Experience being the lead in the design of non-trivial solutions, working with others to implement.
• A desire to deeply understand our customers and the problems they face, in order to improve their day-to-day experience.
• An ability to thrive in ambiguity, tackling problems that might not be well defined and without obvious solutions, and comfortable operating autonomously.
• A keen sense of curiosity, with a natural drive to learn and grow.
• A passion to work collaboratively with others. We like to work as a team, not a collection of individuals and we expect you to have the same mindset. Passion for pairing, mobbing and other XP principles are a strong plus.
  
  

You might have:

• Participated in mentoring other members of your team. While this role will be hands-on technical as an individual contributor, we do expect Lead Engineers to take on some nurturing responsibility, and general tech leadership.
• A startup/scale-up background. We’re not concerned if you have not worked in this environment, as long as you are willing to get stuck into the ambiguity of an early stage company.
• Experience of data processing, machine learning, AI or integrating large datasets into a product.
• Worked with observability solutions (Kibana, Grafana, Sentry).

Role Title: IT Infrastructure / Platform Services Intern

Location of internship: 1 Angel Court, London EC2R 7HJ

Length of Internship: 8 weeks

Start Date: 15th June - 7th August 2026

Schedule/Hours: Monday to Friday, 9:00 - 17:00

Student Type: Penultimate or Final Year students

This role is particularly suited for students studying: Computer Science, Software Engineering, Cloud Computing, Infrastructure Engineering, Cyber Security, DevOps, or related technical subjects

About the Role: 

This internship is designed to give early-career talent practical exposure to platform engineering, cloud infrastructure, and the tools used to support modern banking services. The role combines structured learning with a final project that allows the intern to contribute to a defined technical use case.

Main duties & responsibilities:

• Gain exposure to platform engineering practices, tools, and technologies used within the bank. 
• Learn version control fundamentals and GitHub workflows, including pull requests and code reviews. 
• Build understanding of AWS fundamentals, including IAM, S3, VPC, ingress, load balancing, and EC2. 
• Learn how infrastructure is built using Terraform, including modules and root configurations. 
• Gain exposure to observability practices including logging, metrics, alerting, and runbooks. 
• Learn CI/CD and GitOps fundamentals, including GitHub Actions. 
• Gain introductory exposure to containers and Kubernetes concepts. 
• Explore emerging technologies and relevant AI use cases in infrastructure. 
• Deliver a final project involving a real infrastructure component for a defined use case, from requirements gathering through to implementation, deployment, and documentation. 

Students will gain: 

• Practical exposure to cloud infrastructure in a real engineering environment. 
• Better understanding of DevOps, GitOps, observability, and infrastructure as code. 
• Experience thinking through architecture and implementation trade-offs. 
• Exposure to AWS, Terraform, CI/CD workflows, and Kubernetes concepts. 
• Experience collaborating with engineers on a defined technical use case. 
• Experience delivering and documenting a practical technical project. 

Person specification:

• Foundational understanding of software engineering or infrastructure concepts. 
• Familiarity with Git and basic command-line workflows. 
• Interest in cloud platforms, infrastructure as code, automation, or DevOps. 
• Ability to learn technical concepts quickly and apply them in practice. 
• Curiosity and a strong desire to learn. 
• Good problem-solving and critical-thinking skills. 
• Ability to communicate clearly with technical stakeholders. 
• Strong attention to detail. 
• Accountability and willingness to take ownership of tasks. 

Nice to have: 

• Exposure to AWS, Terraform, Docker, Kubernetes, GitHub Actions, or CI/CD concepts. 
• Experience with scripting or coding in Python, Bash, or a similar language. 
• Interest in platform engineering, site reliability, cloud operations, or infrastructure security. 
• Awareness of AI-native tools or modern engineering workflows. 

We are seeking a talented Full-Stack Developer with strong experience in modern web technologies, ideally with deep expertise in Angular or a similar front-end framework, and solid capability across backend technologies. The ideal candidate is enthusiastic, collaborative and delivery-focused, with a strong sense of ownership and ability to pick things up quickly in a fast-paced environment. They will bring both a user-centred mindset and the technical depth required to deliver robust end-to-end solutions for both internal and external audiences.

You will be part of a friendly and collaborative broader team responsible for post-trade and reporting software development. The role involves working closely with our Client Solutions team to understand requirements, design solutions and ensure exceptional user experience from both a UI and data quality perspective. In addition to project work, you will have regular opportunities to implement enhancements for both business and technology.

Your responsibilities will include: 

• Build, enhance and maintain high-quality, well-tested web applications using Angular and C#
• Contribute to UI architecture, component design, reusability and performance
• Ensure our UIs are intuitive, responsive and accessible across devices and browsers
• Design and implement backend services, APIs and data integrations
• Work across the full application lifecycle: requirements gathering, design, implementation, testing, release and support
• Build high-quality, well-tested code with automated test coverage
• Engage directly with business teams to understand requirements and translate them into thoughtful technical solutions
• Support production systems, investigate issues and implement fixes where required
• Collaborate through code reviews, design discussions, and knowledge sharing
• Build domain knowledge in both business and technology areas

What we are looking for: 

• A bachelor’s or master’s degree in a STEM subject
• 3+ years of full-time professional software development experience
• Strong experience with Angular (preferred), React or other structured modern front-end framework
• Comfortable with enterprise-grade backend technologies such as C#/.NET (preferred) or Java
• Good understanding of modern UI patterns, state management, component-driven development and web performance optimisation
• Solid understanding of application architecture, data modelling and integration patterns
• Strong problem-solving skills across multiple technologies and business domains
• Enthusiastic, collaborative and comfortable working closely with business stakeholders
• Strong communication skills with both technical and non-technical colleagues and a positive, can-do attitude
• Keen about using AI-assisted development tools and integrating them into daily workflow

What would be useful: 

• Experience in UX design principles and creating intuitive interfaces
•  Background in developing external and public facing websites with GDPR compliance
•  Familiarity with automated UI testing tools
• Experience managing bug triage and prioritisation based on user impact
• Basic knowledge of financial performance and risk metrics

Technologies we use: 

• Web: Angular, TypeScript
• Server-side: C#
• Data: MSSQL, PostgreSQL
• Cloud: AWS
• Deployment: Docker, Kubernetes

We are seeking a highly capable Senior Software Engineer to help design, build and evolve resilient, event-driven, cloud-distributed systems. This role is ideal for an engineer who combines deep technical expertise, strong computer science fundamentals, and commercial awareness - someone who not only understands how systems work, but what they are meant to do and why. The role requires a constructive, can-do approach and the ability to operate effectively in a fast-paced setting.

You will work across the full engineering lifecycle from system architecture and data modelling to implementation, testing and operational excellence. You will be encouraged to use modern AI-assisted tooling and continuously improve our platforms, while maintaining a pragmatic balance between innovation and delivery.

You will be part of a friendly and collaborative broader team responsible for post-trade and reporting software development. The role involves working primarily in the Client Operations space but also directly with business functions across the firm to understand requirements, design and implement solutions. As well as project work, there are regular allocated windows of opportunity for small enhancements for both the business and technology.

Your responsibilities will include: 

•    Design, evolve and maintain distributed, event-driven systems with high reliability, scalability and observability
•    Contribute to technical strategy and long-term platform direction
•    Write high-quality, efficient and maintainable code with accompanying automated tests and documentation across UI, services and data storage layers
•    Continuously improve existing services, libraries and shared components
•    Ensure systems are operable, measurable and resilient, including appropriate monitoring, alerting and failure-handling strategies
•    Work closely with product and business stakeholders to translate high-level problems into thoughtful technical solutions
•    Collaborate with team through active contribution in code reviews, knowledge-sharing and design discussions
•    Build domain knowledge in business and technology areas
•    Evaluate new technologies pragmatically
•    Contribute to CI/CD pipelines, tooling and infrastructure-as-code

What we are looking for:

•    A bachelor's or master's degree in a STEM subject
•    5+ years of full-time professional software development experience
•    Proven experience building and maintaining cloud-distributed, event-driven or microservices-based systems written in enterprise-grade backend technologies such as C#/.NET (preferred)
•    Strong computer science fundamentals
•    Excellent engineering discipline: clean code, meaningful abstractions, test automation, documentation and version control best practice
•    Natural curiosity and enthusiastic about using AI-assisted development tools and integrating them into daily workflow
•    Keen interest in keeping aware of latest technologies and a measured approach for adopting them
•    Comfortable problem solving across multiple technologies and business domains
•    Collaborative nature and ability to work in a team e.g. partnering with business users and technologists
•    Ability to have constructive technical discussions

What would be useful:

•    An interest or experience with Angular and Typescript
•    Familiarity with performance-tuning PostgreSQL and/or MSSQL
•    Experience in financial services

Technologies we use: 

•    Web: Angular, TypeScript
•    Server-side: C#
•    Data: MSSQL, PostgreSQL
•    Cloud: AWS
•    Deployment: Docker, Kubernetes

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. A Technical Account Manager (TAM) will continue to provide hands-on technical services to our largest customers by supporting, adopting and providing guidance over the comprehensive suite of products and features available at Datadog. A TAM is held in high regard as an expert and trusted advisor for how IT Operations translates to business value.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Advise on technical support and product adoption for customers in line with pre-sales, post-sales and the renewal processes
• Analyze customer’s IT Operations environment on a regular basis and provide recommendations that will maximize Datadog’s value.
• Be the customer’s advocate by knowing their goals and use cases then suggesting process changes, product adoption, configuration and additional features to meet their requirements
• Participate and prepare for Monthly and Quarterly Business Reviews with customers
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify new features and products
• Continuously evolve best practice to technical product adoption and customer success

Who You Are:

• Someone with a solid technical grounding and hands-on experience of IT Operations
• Confident in your hands on experience AWS, Azure or GCP
• Comfortable scripting languages like Python, Javascript, Ruby, Perl, Go, PHP, or Chef/Puppet etc.
• Skilled in using CI/CD tools e.g. Jenkins, Gitlab etc.
• Knowledgeable about Containerization tools e.g. Docker, Kubernetes or Rancher etc.
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 30% of the time
• Previous experience working as a TAM supporting mid-market and/or Enterprise customers in the cloud space
• Experienced using Datadog and/or other cloud monitoring tools

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

Please note that this is a 24/7/365 team. You will be asked to select and rank your preferred shift(s) below.

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the Role

As a Bare Metal Support Engineer, you will be responsible for supporting, operating, and maintaining CoreWeave’s extensive GPU fleet across our growing data centers in the U.S., Europe, and beyond. You will work closely with customers, data center technicians, and engineering teams to ensure the reliability, performance, and scalability of our infrastructure. 

In this role, you will: 

• Provide high-level support for customers utilizing bare-metal GPU fleets on CoreWeave Cloud.
  
  
• Diagnose, triage, and investigate reported customer issues and high-priority incidents, identifying root causes and escalating when necessary.
  
  
• Develop a deep understanding of customer workloads and use cases to provide tailored technical support.
  
  
• Coordinate remote troubleshooting and hardware interventions with Data Center Technicians.
  
  
• Create and maintain internal documentation, including troubleshooting guides, best practices, and knowledge base articles.
  
  
• Participate in an on-call rotation to support production clusters and ensure operational reliability.
  
  
• Collaborate with engineering teams to improve hardware reliability, software stability, and system performance.
  
  
• Implement automation and scripting to streamline support workflows and reduce manual interventions.
  
  
• Perform in-depth log analysis and debugging across multiple layers of the stack (firmware, drivers, hardware).
  
  
• Provide feedback to internal teams on common support issues to drive continuous improvements.
  
  
• Work with networking teams to troubleshoot connectivity issues affecting customer workloads.
  
  
• Support supercomputing infrastructure running GPU workloads at scale.
  
  
• Drive operational excellence by refining internal processes and support methodologies.
  
  

Who You Are:

• Experience in data centers, GPU clusters, server deployments, system administration, or hardware troubleshooting.
  
  
• Demonstrated experience driving resolutions and continuous improvements across cross-functional environments and teams within a data center environment.
  
  
• Intermediate knowledge of Linux (Ubuntu, CentOS, or similar), including command-line proficiency.
  
  
• Experience with NVIDIA GPUs, SuperMicro systems, Dell systems, high-performance computing (HPC), and large-scale data center environments.
  
  
• Experience in networking fundamentals (TCP/IP, VLANs, DNS, DHCP) and troubleshooting tools.
  
  
• Hands-on experience with firmware updates, BIOS configurations, and driver management.
  
  
• Experience analyzing system logs and debugging issues across firmware, drivers, and hardware layers.
  
  
• Experience working with Jira, Confluence, Notion, or other issue-tracking and documentation platforms.
  
  
• Experience in scripting and automation (Python, Bash, Ansible, or similar).
  
  

Wondering if you’re a good fit? We believe in investing in our people and value candidates who bring unique backgrounds—even if you don’t check every box. Here are a few qualities we’ve found make someone successful on our team. If some of this describes you, we’d love to talk.

• You’re curious about Kubernetes, Docker, and containerized infrastructure
  
  
• You have strong problem-solving skills with a proactive and analytical mindset.
  
  
• You have excellent communication skills and a demonstrated ability to work collaboratively in a fast-paced environment.

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 provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization 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!  

The base salary range for this role is 41,000 GBP to 55,000 GBP. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

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!

What You’ll Do:

The Monolith AI Platform Engineering Team at CoreWeave is responsible for building and scaling the data and workflow backbone 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 high‑throughput data ingestion and feature pipelines to model training and real‑time inference, our platform delivers the performant, reliable, and trustworthy data foundation trusted by the world’s largest engineering companies.

The Staff Data Engineer will own and evolve Monolith’s platform data services and ETL offerings — the data onboarding, preparation, and lineage capabilities that turn fragmented, real‑world engineering data into production‑ready training and inference pipelines. You’ll partner with Product, Engineering, and Customer‑facing teams to deeply understand client data challenges and translate them into scalable, self‑serve data platform features.

About the Role:

We’re seeking a Staff Data Engineer who can own Monolith’s data platform surface end‑to‑end: from offline batch pipelines and large historical backfills to low‑latency, real‑time streaming data flows that power online inference and feedback loops. You’ll define and drive our data architecture, champion data quality and lineage, and decide how customer data moves through Monolith from raw ingestion to governed, observable, and reproducible training sets.

You’ll primarily work with internal teams (Product, Customer Success, Forward‑Deployed Engineers, Software Engineers, Data Scientists), and step in as a domain expert when clients need deeper guidance.

In this role, you will:

• Own Monolith’s Data Platform & ETL Surface
• Lead the architecture and evolution of core data services for ingestion, transformation, validation, and lineage across training and inference workloads.
• Design and maintain end‑to‑end data models and schemas that make complex engineering, simulation, and telemetry data discoverable, reusable, and performant.
• Define standards, contracts, and APIs for how product teams and integrations interact with data services.
• Design & Operate Batch + Streaming Pipelines
• Build and operate batch pipelines for large‑scale historical imports, retraining data sets, and migrations from legacy environments.
• Design and implement streaming pipelines (e.g., using Kafka or similar technologies) for event‑driven or real‑time ingestion and transformation that support online inference, monitoring, and feedback loops.
• Select and integrate off‑the‑shelf, industry‑proven ETL / ELT technologies (e.g., workflow orchestrators, ingestion frameworks, transformation engines) and own their rollout and long‑term operation.
• Champion Data Lineage, Governance & DataOps
• Implement and maintain end‑to‑end data lineage from source systems to derived features and model artifacts, enabling reproducibility, compliance, and faster debugging.
• Establish DataOps practices: CI/CD for pipelines, observability (metrics, logs, traces), and operational runbooks for data incidents.
• Help define data quality and governance standards in partnership with Security, Compliance, and Customer Success, including support for privacy and regulatory needs (e.g., GDPR‑aligned flows and data residency discussions).
• Partner Across Monolith & CoreWeave
• Work with Monolith product and engineering teams (platform, agents, experiments, reliability) to expose data services that unlock new user workflows and AI capabilities.
• Collaborate with CoreWeave infrastructure and AI platform teams to leverage storage, compute, and observability for reliable data flows.
• Serve as a technical escalation point for forward‑deployed and customer‑facing engineers when questions go deeper than their playbooks (e.g., architecture diagrams of data flow, lineage, and governance constraints).

Who You Are:

• Experience & Level
• Typically 8+ years of experience as a Data Engineer / Data Platform Engineer (or similar), including ownership of production data pipelines and architectural decisions.
• Demonstrated Staff‑level impact: leading critical data domains and cross‑team initiatives.
• Data Engineering & Architecture
• Deep experience designing end‑to‑end data architectures that cover ingestion, storage, transformation, serving, and observability.
• Strong, hands‑on experience with both batch and streaming pipelines:
• Batch: scheduled workloads, historical backfills, retraining pipelines.
• Streaming: Kafka or similar event streaming platforms plus real‑time transformation patterns for low‑latency consumption.
• Proficiency with SQL and at least one major analytical database or data warehouse (e.g., PostgreSQL or similar) including schema design and performance tuning
• Proficiency with Spark, Ray or similar distributed data processing frameworks.
• Solid understanding of data modeling (event logs, star schemas, feature tables) in multi‑tenant SaaS or platform contexts.
• Tooling & Ecosystem
• Hands‑on with data orchestration and ETL tooling (e.g., Airflow, dbt, Dagster, Temporal, or equivalents) and able to evaluate and recommend tools that fit our needs.
• Experience integrating and operating off‑the‑shelf data infrastructure (not just bespoke systems), including rollout, migration plans, and ongoing ownership.
• Familiarity with cloud infrastructure and containerization (Docker, Kubernetes, at least one major cloud provider) for deploying and scaling data workloads.
• Data Lineage, Quality & DataOps
• Extensive experience implementing data lineage solutions and using them for debugging, compliance, and auditability.
• Strong background in data quality: validation frameworks, monitoring, and guardrails that prevent bad data from reaching downstream consumers.
• Proficiency with DevOps / DataOps practices: infra‑as‑code, CI/CD for pipelines, runbooks, and participation in on‑call / incident response for data issues.
• Programming, Systems & Communication
• Strong programming skills in Python for building data services, transformations, and platform integrations, with an emphasis on maintainability and tests.
• Comfortable working in service‑oriented architectures, reasoning about data contracts, SLAs, and failure modes across services.
• Clear written and verbal communicator who can:
• Explain data architectures and trade‑offs to internal stakeholders, and
• Occasionally join client conversations as a deep domain expert to answer questions about data flows, security, and governance (e.g., with CIOs, heads of data, or security counterparts), while day‑to‑day client interaction is handled by forward‑deployed teams.

Preferred:

• Experience in ML/AI platforms or MLOps environments where data pipelines feed experimentation, training, and inference workflows at scale.
• Background with time‑series, simulation, or experimental data (e.g., physical test benches, sensors, engineering simulations).
• Familiarity with feature stores, experiment tracking systems, or model registries and their integration with upstream pipelines.
• Experience designing data systems for regulated or safety‑critical domains, including privacy, residency, and retention considerations.

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. If some of this describes you, we’d love to talk:

• Product‑minded – you design data platforms and pipelines that are intuitive to use and unlock real workflows for engineers and customers.
• Systems thinker – you enjoy mapping complex data flows, understanding failure modes, and building robust, observable systems.
• Pragmatic – you balance solid engineering with shipping value quickly, knowing when to invest in abstractions and when to deliver incremental improvements.
• Collaborative owner – you partner well across engineering, product, and customer‑facing teams, and you feel responsible for outcomes, not just code.

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, and foster an environment that encourages collaboration and 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!

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. A Technical Account Manager (TAM) will continue to provide hands-on technical services to our largest customers by supporting, adopting and providing guidance over the comprehensive suite of products and features available at Datadog. A TAM is held in high regard as an expert and trusted advisor for how IT Operations translates to business value.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Advise on technical support and product adoption for customers in line with pre-sales, post-sales and the renewal processes
• Analyze customer’s IT Operations environment on a regular basis and provide recommendations that will maximize Datadog’s value.
• Be the customer’s advocate by knowing their goals and use cases then suggesting process changes, product adoption, configuration and additional features to meet their requirements
• Participate and prepare for Monthly and Quarterly Business Reviews with customers
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify new features and products
• Continuously evolve best practice to technical product adoption and customer success

Who You Are:

• Someone with a solid technical grounding and hands-on experience of IT Operations
• Confident in your hands on experience AWS, Azure or GCP
• Comfortable scripting languages like Python, Javascript, Ruby, Perl, Go, PHP, or Chef/Puppet etc.
• Skilled in using CI/CD tools e.g. Jenkins, Gitlab etc.
• Knowledgeable about Containerization tools e.g. Docker, Kubernetes or Rancher etc.
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 30% of the time
• Previous experience working as a TAM supporting mid-market and/or Enterprise customers in the cloud space
• Experienced using Datadog and/or other cloud monitoring tools

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

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.

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.

  The Opportunity at Altana

The Implementation team is focused on integrating Altana’s products with customers to provide unique insights, business process integrations, and create mutual value. We execute complex customer integrations to create and customize data pipelines for unique customer scenarios; integrate proprietary customer data to our knowledge graph while preserving privacy. The Implementation team works closely with customers, as well as our internal engineering, machine learning, and product organizations.

Specifically, the team is focussed on:

• Develop, deploy and continuously improve distributed, big-data pipelines powering Altana’s state of the art network analysis, ML, data ingestion and fusion capabilities
• Understanding and driving forward Altana's technology to make it more scalable and to meet the evolving requirements of our customer base
• Serve as the technical expert in client-facing meetings, bridging the gap between complex government requirements and our platform's technical architecture.
• Work in a cross-functional team of engineers, data scientists, and product managers
• Evaluate and recommend new tools, technologies, and best practices for data pipeline development, orchestration and deployment

About You

You are a seasoned data engineer and technical leader with deep expertise in building and scaling data systems. You combine strong hands-on engineering skills with the ability to set technical direction, influence across teams, and elevate those around you. You are someone who proactively takes ownership of the end-to-end design and operation of data solutions and refines the systems to deliver measurable results.

• 8+ years of technical experience in data engineering or closely related roles
• You have extensive experience across the design, development, and maintenance of complex data models from a variety of sources and schemas
• Demonstrated track record of leading the full lifecycle (Design, Development, Test, Deploy, Monitor, Maintain) of data ingestion and standardization pipelines at scale
• A demonstrated drive for sustainable software development, self-healing data workflows, and a deep appreciation for data security and data governance
• Experience leading and mentoring other engineers on complex data engineering projects
• You are eligible and willing to obtain UK Security Check (SC) clearance or have an active clearance already
• Excellent written and verbal communication skills, with a track record of successfully interacting directly with external customers and stakeholders to scope technical work and manage expectations
• Keep up to date with latest trends in data engineering and care deeply about engineering excellence and knowledge sharing

Nice to have, but not required

• Expertise or experience with the deployment of ML pipelines.

• Exposure to trade compliance, supply chain management or a field similarly related to international commerce.
• Experience working with or within the public sector.
• Experience with the responsibilities involved in managing a data platform, including monitoring and managing releases, costs, and infrastructure changes.
• Familiarity using AI tools to enhance the quality & pace of your output.

Technologies we love

• Languages: Python, Spark, SQL
• Tools: AWS, Azure, Git, Rest APIs,  Kubernetes, Docker
• Datastores: Databricks, OpenSearch, Postgres

This role is based in our London office, with hybrid work flexibility and candidates must be within commuting distance from our hub location. 

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters – it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

The Unified Platform - Risk team is looking for an outstanding Senior Software Engineer with diverse technical and interpersonal skills to join us in the next step of our development as we significantly expand our technical capabilities, enabling us to have an even greater impact across the firm.

This team builds and maintains services which:

- calculate portfolio sensitivities and value-at-risk (VaR) across many asset classes
- predict theoretical market outcomes based on user-defined what-if scenarios
- return risk reports for any time horizon

We collaborate closely with risk managers and trading desks to measure option and rate sensitivities and create applications to monitor, manage, and report analytic measures. While previous experience in the trading and finance industry is beneficial, we're looking for talented software engineers with or without industry-specific expertise.

Responsibilities:

- Designing, developing and maintaining greenfield and legacy API, service, and application platforms
- Testing at the unit, functional, and integration level
- Code in multiple languages, paradigms, and platforms
- Collaborating with various business, development, IT, and trading support teams
- Provide on-call support as part of our team-wide rotation
- Keep open communication with our users for support, testing, and ensuring understanding of their needs

Qualifications:

- Experience with financial terminology, VaR methodology, multiple varieties of analytic measures
- Designing software for detail-oriented but non-technical finance users
- Fluent in functional, object-oriented, or imperative programming languages
- Competent in distributed version control, CI/CD, Docker, and Kubernetes

Familiarity with:

- One of the following programming languages: Elixir, Python, Java, C#, C++, Rust
- One of the following data formats: Parquet, Delta Lake, Iceberg
- Pricing, risk management, and portfolio analytics
- Exchange-traded financial assets, statistics, or financial engineering
- Data structures and design/analysis of algorithms
- Where LLM-assisted development accelerates progress, and where it poses risks

Personal traits:

- Possesses the ability to learn, adapt and grow
- Demonstrates personal humility, respect for others, and trust in their teammates
- Capable of independently driving projects to completion but prefers collaborating with teammates
- Excellent problem-solving and debugging skills, but has better listening and communication skills

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-MM1

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

We are seeking a Senior Software Engineer to join our Reference Data team in the Unified Platform (UP) organization as part of our efforts to build a mid-frequency platform. UP consolidates data and technologies into a comprehensive solution, accelerating time to market. Optimizing decision-making and research, our platform simplifies implementing new ideas, enhancing our competitive edge.

As a Senior Software Engineer on one of the Unified Platform teams, you'll be part of a tight knit team of software engineers working closely with internal users (analysts, quants, traders) to develop innovative systems that enable research and trading. You'll experiment with emerging technologies to process data at scale. You’ll wrestle a mountain of data into human understandable insights. 

We care deeply about preserving a respectful and diverse team culture. We are a group of polyglots and technologists always seeking to find the right tool for each problem, even if that means learning something new or reviving something old. We value business impact and outcomes over process, and we make decisions based on data. We strive to adapt quickly as business priorities change. 

What you’ll do in this role:

• Build and evolve data and platform capabilities that support mid-frequency trading research workflows
• Partner closely with internal customers to understand their needs and build intuitive self-service tools
• Develop software for large scale data acquisition, storage, accessibility, and visualization
• Design and operate scalable pipelines and platforms using modern "big data" and lakehouse patterns
• Improve reliability, observability, performance, and ergonomics across platform services
• Learn about market microstructure, financial instruments, and markets in which DRW participates or wants to participate in

This could be a good fit if you:

• Are motivated to solve hard problems with deceptively simple solutions
• Think a lot about user experience and try to really understand end users’ jobs and pain points
• Think a lot about APIs, modular design and testing
• Love refactoring and keep trying until you find a better answer
• Enjoy making the “right way to do it” the path of least resistance
• Have made a random tool for yourself…and then peers ask for it…then other teams ask for it…
• Are fiercely proud of your project’s reliability, performance and ease of maintenance

What we need on the team:

• 5+ years of platform-level software development experience
• Strong computer science fundamentals; a degree in Computer Science or equivalent work experience
• Financial market & reference data familiarity — understanding instrument IDs, feed normalization etc.
• Experience building research platforms and/or supporting mid-frequency trading environments
• Comfort working within a globally-distributed team
• A background in some of the following a bonus:
• Big data technologies: Spark, Delta Lake, Iceberg, Kafka, Airflow and/or Argo Workflows
• SQL and data warehousing/lake querying patterns
• Cloud-native deployments: AWS, Docker, Kubernetes
• Observability: Splunk, Prometheus, Grafana, Sentry

Location: This position is hybrid and can sit in Chicago, London, or New York City.

The annual base salary range for this position is $175,000 to $225,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-TL1]