We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. 

We are looking to speak to candidates who are based in London for our hybrid working model.

As an ideal candidate, you will have:

• Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience

You may also have:

• Experience selling databases and/or deploying applications with any of the major cloud providers 
• Experience with database programming and data models 
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

What you do at MongoDB:

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members 
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn:

MongoDB Product Suite Mastery:

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

Market-Relevant Technologies:

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design:

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space

Sales Techniques and Soft Skills:

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

Industry Insights:

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

REQ ID: 426207

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.

Role Overview:

The Senior Director of Data Engineering & Services is a critical leadership role at Sony Interactive Entertainment (SIE), responsible for shaping and driving the data product strategy that powers intelligence across the company. This role focuses on designing, building, and scaling decision and AI-ready data assets that enable deeper, faster insights and drive data-informed decisions across Player, Creator, Publisher, and Enterprise experiences. It blends deep technical expertise with strong business knowledge, playing a key role in advancing SIE’s connected data ecosystem and enabling the next generation of intelligence and operational efficiency across the company.

You will oversee domain-focused data engineering organizations spanning Player Data, Partner Data, and Enterprise Enablement, driving a unified strategy for how SIE designs, builds, and scales its data products.

• In the Player Data domain, you will define how PlayStation’s player data ecosystem evolves—advancing unified attribution, identity and Player360, and trusted metrics that enable lifetime value modeling, next-best actions, causal measurement, and experimentation across player experiences.
• In the Partner Data domain, you will shape how PlayStation’s partner and creator ecosystem uses data through Partner360, secure data sharing, and self-serve analytics that provide insight into partner performance and lifecycle value—enabling insights that drive creator success, optimize publishing outcomes, and strengthen PlayStation as the preferred platform for partners.
• In the Enterprise Enablement domain, you will lead the strategy and execution of enterprise data capabilities that make SIE’s core functions—Finance, IT, Supply Chain, and HR—increasingly data-driven. Your leadership will ensure these functions operate with connected, governed, and intelligence-ready data, enabling better planning, forecasting, operational efficiency, and strategic decision-making.

What you'll be doing:

Strategic Leadership

• Define and drive the long-term data engineering strategy that powers SIE’s Connected Data Ecosystem — delivering trusted, high-impact data products aligned to strategic business priorities.
• Partner with business and product leaders to identify and deliver the most valuable data opportunities across Player, Creator, Publisher, and Enterprise domains.
• Ensure data engineering teams are building for insight velocity, reusability, and scalability, enabling faster and more informed decision-making across the organization.
• Develop a high-performance engineering culture built on quality, ownership, and continuous improvement across global data teams.

Data Engineering Excellence

• Lead the design, architecture, and execution of SIE’s connected data ecosystem, ensuring seamless integration across business domains and platforms.
• Deliver decision and AI-ready data pipelines and foundational datasets that power analytics, reporting, personalization, and operational intelligence.
• Establish and scale guidelines for data modeling, integration, processing, quality, lineage, and observability.
• Optimize for data usability, trust, and performance while managing cost efficiency and reliability at scale.
• Ensure all data engineering outputs meet enterprise standards for security, privacy, and compliance.

Multi-functional Collaboration

• Partner with Product, Analytics, and Business teams to understand data needs and translate them into scalable, high-quality solutions.
• Collaborate with AI/ML, BI, and Platform teams to ensure data assets are discoverable, governed, and integrated into analytical and operational tools.
• Work closely with Data Governance, Privacy, and Security teams to ensure responsible data use and compliance with regulatory frameworks.
• Drive adoption of data products by ensuring discoverability, documentation, and seamless integration into workflows and decision systems.

Innovation & Efficiency

• Lead initiatives to optimize data operations, improve pipeline efficiency, and reduce total cost of ownership across environments.
• Champion innovation in data engineering — advancing streaming, near-real-time, and event-driven architectures that improve agility and insight delivery.
• Partner with platform engineering to implement new capabilities that enhance data delivery and improve developer productivity.

What we're looking for:

Experience and Technical Expertise

• Proven experience building strong partnerships with product, business, and technology leaders to align on data strategy, accelerate delivery, and improve the strategic value of data across the organization.
• Extensive experience in data engineering or related fields, with deep expertise in designing, building, and scaling enterprise-grade data solutions that enable analytics and business intelligence.
• Proven track record of delivering high-quality, reusable, and trusted data assets that power decision-making across complex global organizations.
• Deep expertise in data architecture and modeling, with experience designing scalable ELT/ETL frameworks and distributed processing systems that support both batch and real-time workloads.
• Proven success in building and optimizing modern data platforms using technologies such as Databricks, Snowflake, and Kafka, with strong focus on data quality, lineage, observability, and reliability.
• Skilled in cloud-native data ecosystems (AWS, Azure, or GCP) and governance practices, ensuring performance, scalability, compliance, and trusted access through tools such as Alation and Collibra.
• Demonstrated ability to design and deliver domain-aligned data products
• Experience working across data privacy and regulatory frameworks, ensuring compliance while supporting global data operations.
• Proven leadership experience in building, mentoring, and growing high-performing global engineering teams, fostering a culture of inclusion, innovation, and accountability.
• Exceptional communicator and collaborator, capable of bridging technical depth and business impact.
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field.

Benefits:

• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

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.

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 an experienced MySQL Lead DBA who will be responsible for ensuring database performance, high availability, and security of clusters and single instances of MySQL instances. You will also be responsible for orchestrating upgrades, backups, HA/DR, and provisioning database instances. You will work closely with other teams, including application architects/ Sr. Developers and application support engineers for architecture design and SQL optimization, establishing and documenting best practices.

We look for dedicated and versatile engineers who are passionate about working in a company whose culture is dedicated to delivering innovative software products that solve our customers’ most challenging business needs. As a Lead DBA, you’ll have the opportunity to make significant and direct impact on our database performance, applications, and solve some of the most complex challenges in cloud and on prem environments, while lead the team from a technical and development perspective.

This hybrid role is open to hiring candidates located in:

• Bucharest, Romania
• London, United Kingdom
• Riga, Lativa
• Warsaw, Poland

Key Responsibilities

You will be responsible for ensuring that database management policies, processes and procedures are established and followed, adhering to ITIL good practice principles and are subjected to continuous improvement as per PCI standards. They will be responsible for reviewing system design changes to ensure they adhere to expected service standards and recommend changes to ensure maximum stability, availability and efficiency of the supported applications.

The candidate should understand the application functionality, business logics and work with application stake holders to understand the requirement and discuss with the new application features and propose the right solutions. He must liaise closely and work in collaboration with the release management teams, support teams and the infrastructure DBAs. 

• Design, Install, Deploy and Manage MySQL on Physical, Virtual, AWS EC2 / RDS / Aurora.
• Build MySQL clusters with a high availability, active-active cluster setup in a large scale and multi datacenter environments having minimum RPO/RTO on a DR scenario
• Design and implement uniform backup strategy and business continuity plans across the MySQL environments using Percona XtraDB or custom automation scripts with reliable monitoring and alerting mechanisms
• Define thorough and validated database monitoring and alerting, along with documentation for future references
• Setup high availability with Master-Master/ Master-slave replication
• Maintain stable performance via server optimizations
• Guide engineering teams to best practices on server configurations and SQL tuning.
• Maintain security and compliance via OS and database version upgrades
• Work with application stake holders to create effective database solutions
• Create and maintain adhoc reports
• Adhere to the incident and change process, prepare thorough documentation, and peer review planned production tasks
• Support application release process, and automations
• Mentor and develop other engineers on MySQL skills

Required Qualifications/Skills

• Minimum 8 years of experience managing MySQL
• Experience with MySQL Active/Active cluster setup, Database Upgrade and Migrations, Scripting
• Experience administrating MySQL on Linux platform
• Experience with MySQL version upgrades in production environments with a zero or very minimum application down time
• Experience with design & architecting MySQL environments using any framework such as Galera Cluster or Percona XtraDB
• Experience deploying database monitoring using at least one of PMM, New Relic, Datadog, Nagios, Grafana, ELK, AppD, etc.
• Infrastructure as Code (IaC) such as Terraform, Ansible, Puppet, Chef
• Proficiency with cloud infrastructure, AWS RDS or equivalent.
• Automation/scripting skills in a modern language like Python, Shell scripting, Go, Java, Rust.
• Proficiency in CI/CD pipelines such as Jenkins, Github Actions, Gitlab.
• Advanced experience with database performance tuning including SQL tuning, hardware configuration and capacity planning.
• Strong technical leadership, mentoring and time management skills.

Preferred Skills (Not Mandatory)

• Experience working with PCI (Payment Card Industry Data Security) standards
• ITIL environment experience
• Deep experience with SQL, stored procedures, functions, triggers, batch jobs, reporting, analytics.
• Experience managing PostgreSQL, SQL Server, and/or Oracle.
• Experience and knowledge with NoSQL and data engineering technologies such as Kafka, Redis, Snowflake, Databricks, Spark, Redshift, ETL, etc.
• Experience with data analytics and Business intelligence

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.

SLSQ427R253

As a Partner Solutions Architect for Europe, you will work with the technical and sales team members who work directly with our customers. You will develop 'technical champions’ within our top Partners, providing enablement on technical matters related to the Databricks product. Working with our partners, you will help our customers achieve tangible, data-driven outcomes through our Databricks Data Intelligence Platform, enabling data teams to complete projects and integrate them into their enterprise Ecosystem. As a member of our team, you will exercise and develop expertise in those areas, using open source projects such as Apache Spark™, MLflow, and Delta Lake, and major public cloud infrastructure and services. the product. You will use this expertise to become a trusted advisor to C&SI partners.

The impact you will have:

• Provide partners with the level of enablement they need to assist their clients in evaluating and adopting Databricks, including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem.

• Engage with the partner technical community by leading workshops, seminars, and meet-ups.

• You will be a big data analytics expert in architecture and design, and will share this knowledge with our partner network.

• Show expertise by producing creative technical solutions and blog posts.

What we look for:

• 8 years of customer-facing experience working with external clients or partners across a variety of industry markets

• Core strength in either data engineering or data science

• Experience demonstrating technical concepts, including presenting and whiteboarding

• Experience developing architectures within a public cloud (AWS, Azure, or GCP)

• Hands-on experience in SQL, Python, Scala, or Java

• Expertise in at least one of the following:

• Data Engineering technologies (Ex, Apache Spark™, Hadoop, Kafka)

• Data Warehousing (Ex, SQL, OLTP/OLAP/DSS)

• Data Science and Machine Learning technologies (Ex, pandas, scikit-learn, HPO)

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 Infrastructure Database team responsible for managing and optimising large-scale database systems supporting research and trading activities. The team works closely with Quantitative Researchers, Developers, and Data Engineers to ensure reliability, scalability, and performance of critical data infrastructure.

Your Future Role within QRT
You will:

• Administer and maintain ClickHouse clusters in distributed environments
• Configure and manage replication, sharding, and distributed table architectures
• Operate and maintain ClickHouse Keeper or ZooKeeper
• Manage data lifecycle processes including partitioning, TTL, and merge operations
• Monitor database performance and troubleshoot issues in high-throughput environments
• Optimise query performance through indexing strategies, partitioning, and projections
• Manage system resources including CPU, memory, and disk I/O for database workloads
• Design and implement high availability and disaster recovery solutions
• Support database environments across production and non-production setups
• Implement and maintain access control, roles, and security policies
• Work with data ingestion pipelines including streaming and batch frameworks
• Contribute to database reliability, observability, and scalability improvements

Your Present Skillset

• 5+ years of experience in database administration in production environments
• Strong experience with ClickHouse in distributed or clustered setups
• Solid understanding of replication, sharding, and distributed database architectures
• Experience with ClickHouse Keeper or ZooKeeper
• Strong knowledge of performance tuning, monitoring, and troubleshooting
• Experience supporting high-ingestion and large-scale analytical workloads
• Proficiency in SQL and database design principles
• Experience with UNIX/Linux systems and system-level performance tuning
• Knowledge of high availability and disaster recovery strategies
• Familiarity with data ingestion frameworks such as Kafka or streaming pipelines
• Experience with PostgreSQL or SQL Server
• Strong attention to detail with a focus on testing and documentation
• Ability to work effectively in a collaborative environment

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.

The Role: Platform Engineering Manager (Cloud Foundations)

Location: London / Hybrid (2 days per week in office) 

Reporting to: Head of Technology Operations

The Role 

 Rightmove’s Cloud Foundations team delivers the secure, reliable, scalable and cost‑optimised platform foundations used by hundreds of engineers and dozens of mission‑critical services. As we ensure safe, low friction delivery of core services and operate at scale, the Engineering Manager will lead a team providing cloud platforms and infrastructure, cloud security, governance, automation, and operational excellence.  

This position blends people leadership, cloud operations, platform engineering, security governance, and FinOps. The successful candidate brings deep operational experience in product‑led technology companies and understands how to run cloud foundations as a modern internal platform. 

Key Outcomes for This Role 

Strategy, Delivery and Execution 

• Through working with your team, key stakeholders, and the platform product manager, we provide a cloud platform strategy and roadmap that aligns to Rightmove business goals and our internal customer’s needs.  

• The team provides accurate estimates and realistic plans. 

• The platform roadmap, initiatives/projects, and OKRs are well managed and delivered in line with expectations. 

People Leadership & Team Development 

• Through coaching and mentoring engineers, setting clear, achievable development goals and provides actionable feedback, they improve skills, confidence, and impact. 

• Individual growth plans align with team objectives and organisational priorities. 

• Engineers are supported to designing and delivering scalable, secure, resilient platform services without micromanagement. 

• Achievements are recognised and rewarded, performance issues are addressed early and fairly.  

• There is an inclusive, psychologically safe environment; with leadership tailored to individual strengths and motivations. 

Platform Engineering, Operations & Reliability 

• Cloud platform and key services are reliable, incident detection and resolution are smooth due to proactive monitoring, well‑maintained alerts/logs, and complete observability coverage. 

• Platform resilience and DR planning/testing strategy is defined and operational, working across the business with validated requirements and outcomes. 

• Backup, restore and resilience mechanisms are regularly tested, ensuring the platform can recover predictably. 

• Incident management processes are consistently followed, including timely post‑incident reviews (PIRs) and completion of follow‑up actions. 

• On‑call is well staffed, sustainably operated, and fosters a healthy on‑call culture. 

• Automation (AI‑driven or traditional) delivers increased speed, reduced toil, and enhanced reliability. 

• Support requests are triaged and responded to promptly, with prioritisation based on upstream impact. 

• Capacity and cloud spend are effectively managed—no incidents caused by under‑provisioning, and costs are controlled by avoiding unnecessary over‑provisioning. 

• Finops culture is embedded with tooling and process across product development teams 

• Vendor relationships are managed, supplier due diligence is completed on time, contract costs and SLAs are negotiated as needed. 

• Continuous improvement culture is embedded: teams regularly evaluate performance, reliability and cost efficiency, feeding learnings back into the platform. 

Governance, Guardrails & Security 

• Infrastructure‑as‑Code, Policy‑as‑Code and automated guardrails accelerate delivery while strengthening governance and consistency across the platform. 

• Secure software delivery practices and policies are followed, vulnerabilities are managed within SLAs, Platform configuration standards are maintained (CIS Benchmarks). 

• Cloud security policies, governance standards and privacy controls consistent with predefined roles, least‑privilege IAM patterns and role-based access practices are implemented and followed 

• The organisation meets regulatory, contractual and audit obligations, maintaining documentation, policies and process evidence for compliance reviews 

• Secure cloud configurations, WAF policies, bot protection, and cloud‑native security tooling are maintained. 

• Architecture diagrams for network and key components are maintained for audit, security, knowledge sharing purposes. 

What you’ll bring  

• Proven experience in cloud operations and platform engineering management, overseeing cloud infrastructure and platforms, monitoring, reliability, and service delivery in production environments. 

• Previous hands‑on experience running large cloud-based website environments with GKE, service mesh, load balancers, CDN/WAF, Kafka, Elasticsearch. 

• Strong understanding of cloud services including networking, compute, storage, containerisation, security and IAM. 

• Experience with IAC, python, Go, CI/CD, Terraform, Kubernetes, modern ops tooling and DevOps workflows. 

• Demonstrated experience implementing security controls, IAM policies, and cloud governance frameworks.  

• Familiarity with platform engineering concepts including developer platforms, reusable platform components and enabling internal product teams. 

• Experience improving operational processes and developing documented procedures (monitoring, DR, incident response, upgrade processes). 

• Strong leadership, team management, collaboration and communication skills, aligned with expectations for managing technical cloud teams.  

• Experience designing scalable, reliable cloud platform architectures, consistent with Cloud  

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.

Engineering Manager (Financial Crime)

London Office - Hybrid: 4 days in the office, 1 day working from home

About the Role

You'll lead the FinCrime Core team, responsible for Ebury's AML (Anti-Money Laundering) platform. This is a critical, regulated domain where your work directly impacts:

• Sanctions Screening: Real-time screening of customers and transactions against global watchlists
• Transaction Monitoring: Detection of suspicious payment patterns
• Regulatory Compliance: Ensuring Ebury meets FCA, EU AML directives, and global regulatory requirements

The platform processes millions of screening requests and payment events, requiring high reliability, low latency, and strong audit trails.

Key Responsibilities

Technical Leadership

• Own the AML Screening and Transaction Monitoring domain, setting the 0–6 month technical roadmap
• Drive architecture decisions for event-driven systems (Kafka, SNS/SQS)
• Ensure integrations with third-party providers are reliable and performant
• Champion observability with comprehensive logging, metrics, and alerting for a regulated environment
• Balance "keep the lights on" work with modernisation initiatives
• Unblock the team through code reviews, architecture guidance, or hands-on contribution when needed
• Provide technical leadership and step in for Senior Engineers when required
• Ensure all systems have appropriate support, SLAs, on-call rotas, and documentation

Delivery Management

• Responsible for team delivery, sprint planning, and project health
• Assess the criticality of unplanned work, minimising context-switching and unnecessary pressure
• Balance team capacity with roadmap demands
• Instil urgency to find the right balance between velocity and quality
• Ensure all incidents are owned and resolved

Cross-Functional Collaboration

• Act as the primary liaison between engineering and product, partnering with your counterpart to ensure full alignment
• Communicate progress clearly and escalate issues effectively

People Management

• Lead a team of engineers at varying levels, creating stability and psychological safety
• Manage performance and well-being, initiating corrective actions when needed
• Provide coaching, performance reviews, and career development
• Foster a culture of ownership, feedback, and continuous improvement
• Hire, grow, and retain high-performing engineers

Process and Performance

• Ensure company processes are executed effectively and on time
• Accountable for team KPIs: velocity, quality, on-time delivery, morale, and staffing
• May manage a limited budget for tools or specific project costs

Qualifications

Required

• Proven experience as an Engineering Manager or similar leadership role
• Deep understanding of software development methodologies and best practices
• Recent hands-on experience (within the last 5 years) as a Tech Lead or Senior+ Engineer
• Experience with agile development processes
• Excellent communication, interpersonal, and leadership skills
• Strong problem-solving and decision-making abilities
• Passion for technology and innovation

Nice to Have

• Experience in regulated industries (FinTech, banking, payments)
• Understanding of AML/KYC processes and compliance requirements
• Experience with event-driven architectures and Kafka
• Familiarity with third-party screening or monitoring providers
• Experience managing on-call rotations for critical systems

Benefits

• Competitive salary and benefits package
• Opportunity to work on challenging and rewarding projects
• Collaborative and supportive work environment
• Be part of a dynamic and growing company

LI-AT1

About the Opportunity

As a Senior Software Engineer focused on content storage infrastructure domain you will be responsible for innovating and maintaining Contentful’s underlying storage infrastructure and adjacent services. You will work on the very foundation of Contentful that our teams build on top of, but also have the opportunity to directly impact our customers’ experience with scalability and performance features.

You’ll join a team of thoughtful, collaborative engineers who support each other, share knowledge freely, and work closely with teams across domains. If you’re someone who thrives on responsibility and takes pride in building highly scalable and reliable systems that enable others - this might be the right place for you.

The team is placed in the infrastructure group.

What to expect?

• You’ll further design and develop our content storage infrastructure is foundational to the billions of requests we are serving today
• You’ll work with AWS using Terraform and Infrastructure-as-Code best practices
• You’ll collaborate closely with teams in the content storage and delivery domains
• You’ll develop and maintain services written in Typescript and Go
• You’ll help us stay ahead of operational risks - anticipating bottlenecks or failure points before they cause problems.

What you need to be successful?

• Proven experience in software development and systems engineering experience
• Strong understanding of relational database engines (preferably PostgreSQL)
• Thorough AWS knowledge across core services: RDS, S3, Lamda, SNS/SQS
• Terraform and Kubernetes expertise
• Kafka experience is a plus
• Proficiency in at least one modern programming language (Typescript, Go)
• Experience with observability stacks (metrics, logs, tracing) and tools like Splunk and DataDog
• Problem-Solving Skills: Natural problem-solver who brings forward ideas leading to practical solutions and product growth.
• Collaborative Mindset: Ability to work effectively in a team environment
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced environment.
• Excellent English communication skills, verbal and written (German not required).
• A collaborative mindset: you're helpful, respectful, and enjoy sharing knowledge
• Ability to context switch, work through ambiguity, and contribute across multiple workstreams
• You lead by example, mentor others, and embrace a culture of safe experimentation and continuous improvement

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
• Comprehensive healthcare package health/dental/vision care package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• 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

As a Senior Software Engineer focused on content storage infrastructure domain you will be responsible for innovating and maintaining Contentful’s underlying storage infrastructure and adjacent services. You will work on the very foundation of Contentful that our teams build on top of, but also have the opportunity to directly impact our customers’ experience with scalability and performance features.

You’ll join a team of thoughtful, collaborative engineers who support each other, share knowledge freely, and work closely with teams across domains. If you’re someone who thrives on responsibility and takes pride in building highly scalable and reliable systems that enable others - this might be the right place for you.

The team is placed in the infrastructure group.

What to expect?

• You’ll further design and develop our content storage infrastructure is foundational to the billions of requests we are serving today
• You’ll work with AWS using Terraform and Infrastructure-as-Code best practices
• You’ll collaborate closely with teams in the content storage and delivery domains
• You’ll develop and maintain services written in Typescript and Go
• You’ll help us stay ahead of operational risks - anticipating bottlenecks or failure points before they cause problems.

What you need to be successful?

• Proven experience in software development and systems engineering experience
• Strong understanding of relational database engines (preferably PostgreSQL)
• Thorough AWS knowledge across core services: RDS, S3, Lamda, SNS/SQS
• Terraform and Kubernetes expertise
• Kafka experience is a plus
• Proficiency in at least one modern programming language (Typescript, Go)
• Experience with observability stacks (metrics, logs, tracing) and tools like Splunk and DataDog
• Problem-Solving Skills: Natural problem-solver who brings forward ideas leading to practical solutions and product growth.
• Collaborative Mindset: Ability to work effectively in a team environment
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced environment.
• Excellent English communication skills, verbal and written (German not required).
• A collaborative mindset: you're helpful, respectful, and enjoy sharing knowledge
• Ability to context switch, work through ambiguity, and contribute across multiple workstreams
• You lead by example, mentor others, and embrace a culture of safe experimentation and continuous improvement

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
• Comprehensive healthcare package health/dental/vision care package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• 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

As a Senior Software Engineer focused on content storage infrastructure domain you will be responsible for innovating and maintaining Contentful’s underlying storage infrastructure and adjacent services. You will work on the very foundation of Contentful that our teams build on top of, but also have the opportunity to directly impact our customers’ experience with scalability and performance features.

You’ll join a team of thoughtful, collaborative engineers who support each other, share knowledge freely, and work closely with teams across domains. If you’re someone who thrives on responsibility and takes pride in building highly scalable and reliable systems that enable others - this might be the right place for you.

The team is placed in the infrastructure group.

What to expect?

• You’ll further design and develop our content storage infrastructure is foundational to the billions of requests we are serving today
• You’ll work with AWS using Terraform and Infrastructure-as-Code best practices
• You’ll collaborate closely with teams in the content storage and delivery domains
• You’ll develop and maintain services written in Typescript and Go
• You’ll help us stay ahead of operational risks - anticipating bottlenecks or failure points before they cause problems.

What you need to be successful?

• Proven experience in software development and systems engineering experience
• Strong understanding of relational database engines (preferably PostgreSQL)
• Thorough AWS knowledge across core services: RDS, S3, Lamda, SNS/SQS
• Terraform and Kubernetes expertise
• Kafka experience is a plus
• Proficiency in at least one modern programming language (Typescript, Go)
• Experience with observability stacks (metrics, logs, tracing) and tools like Splunk and DataDog
• Problem-Solving Skills: Natural problem-solver who brings forward ideas leading to practical solutions and product growth.
• Collaborative Mindset: Ability to work effectively in a team environment
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced environment.
• Excellent English communication skills, verbal and written (German not required).
• A collaborative mindset: you're helpful, respectful, and enjoy sharing knowledge
• Ability to context switch, work through ambiguity, and contribute across multiple workstreams
• You lead by example, mentor others, and embrace a culture of safe experimentation and continuous improvement

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
• Comprehensive healthcare package health/dental/vision care package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• 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.

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

Wolt’s AdTech & Promotions team is building the systems that power how restaurants and brands grow on our platform. From campaign creation to optimization and forecasting, we develop tools that help advertisers make smarter decisions and drive measurable results. As we expand our offering, we are investing in new capabilities that combine real-time data, scalable systems, and intuitive user experiences to unlock the next phase of growth.

We’re looking for a Staff Engineer to join the Wolt AdTech & Promotions organization, who can drive technical direction across this space and help us build reliable, scalable systems that directly impact revenue and advertiser success.

What you’ll be doing

• Drive the technical vision and architecture for Wolt’s AdTech and Promotions platforms, ensuring they are scalable, reliable, and high-performing.
• Provide technical leadership across multiple teams and projects, bringing architectural consistency to complex, large-scale systems.
• Work across the end-to-end domain, contributing to backend services, data pipelines, and advertiser-facing tools.
• Design and evolve systems that support campaign execution, targeting, ranking, allocation, and reporting in real-time or near real-time environments.
• Partner with engineering, product, and data stakeholders to align priorities, improve campaign performance, and manage trade-offs in a revenue-driven environment.
• Lead large cross-team projects, guiding them from concept to rollout across multiple regions and time zones.
• Ensure strong operational excellence, including observability, reliability, and incident readiness for revenue-critical systems.
• Promote best engineering practices, mentor engineers across teams, and support their growth in scalability and system design.
• Act as a bridge between technical and non-technical colleagues, ensuring clarity and alignment across functions.
• Contribute to the technical roadmaps of AdTech and Promotions platforms by collaborating with other senior engineers.

This position is based in London 

Our humble expectations

Technical Expertise

• Proven track record designing and scaling large distributed systems in production environments.
• Strong understanding of system architecture, scalability, reliability, and performance optimization.
• Experience working with data-intensive and real-time or near real-time systems.
• Familiarity with AdTech concepts such as targeting, ranking, attribution, or experimentation is a strong plus.
• Ability to adapt quickly to new technologies and languages; while many of our services are written in Kotlin and Go, we are looking for someone language-agnostic.
• Ability to dive quickly into new domains and navigate complex system interactions.
• Familiarity with modern cloud-native tools and data systems (e.g., Kubernetes, Kafka, MongoDB).

Communication & Influence

• Strong communicator with the ability to influence, align, and build consensus across diverse teams and stakeholders.
• Comfortable working in a global environment across US and international teams.
• Skilled at translating complex technical decisions into clear direction for technical and non-technical audiences.
• Experience mentoring and coaching engineers, helping raise the technical bar across teams.
• Strong sense of ownership combined with a collaborative mindset, able to work effectively across team boundaries to deliver shared outcomes.
• Proactive in identifying opportunities and gaps across teams, and driving alignment to solve problems holistically rather than locally.

What we offer

At Wolt, this role provides a rare opportunity to work on challenging AdTech problems at scale, where technical decisions directly impact revenue and user experience.

Our compensation follows a total compensation model, combining a competitive base salary with DoorDash RSUs.

You will play a key role in building and evolving the next generation of advertisement tools and platforms, shaping how advertisers create, manage, and optimize campaigns across Wolt. This is not just about maintaining systems, but about defining and scaling new capabilities in a fast-growing domain.

As a Staff Engineer, you will have end-to-end ownership and high autonomy, with the ability to influence architecture, product direction, and engineering practices across teams. Your work will have clear, measurable business impact, directly contributing to revenue growth and advertiser success.

You’ll be part of a global company operating at scale, collaborating with teams across Europe and the US, and solving problems that span multiple markets, use cases, and customer segments.

This role also offers strong opportunities for career growth and scope expansion, whether through deep technical leadership, cross-domain influence, or progression toward more senior individual contributor roles.

Alongside the technical challenge, you’ll work with talented engineers and leaders in a diverse and international environment, shaping both our systems and engineering culture while mentoring and learning from others.

The Firm

XTX Markets is a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts for over 50,000 financial instruments across equities, fixed income, currencies, commodities and crypto. It uses those forecasts to trade on exchanges and alternative trading venues, and to offer differentiated liquidity directly to clients worldwide. The firm trades over $250bn a day across 35 countries and has over 250 employees based in London, Singapore, New York, Paris, Bristol, Mumbai, Yerevan and Kajaani.

We leverage the talent of the people who work here, modern computational techniques and state-of-the-art research infrastructure to analyse large data sets across markets quickly and efficiently, to maximize the effectiveness of our proprietary trading algorithms. We are actively seeking new methods and ideas. The models that drive our trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures.

XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing over 25,000 GPUs with 650 petabytes of usable storage. Teams across the firm include world-class researchers, developers and technologists with backgrounds in pure math, programming, physics, computer science and machine learning. The firm is also constructing a large-scale data centre in Finland to future-proof its significant computational capabilities.

At XTX Markets technology is our business and we are a diverse organization which attracts outstanding talent from across all industry backgrounds. We are focused on teamwork, and our people collaborate on all aspects of the business, working openly and with respect for each other, our clients and the market. Our culture is non-hierarchical and one where everyone is valued. We strive for excellence in everything we do.

The Role

The Trading Data Technology is a new team at XTX Markets: it is responsible for the design, implementation, and operation of the firm’s Trading Data platform. The platform is an early stage / greenfield build. Its initial projects will be centred around standardising the capture of the firm's order data, as well as how we make it available to systems and users.

This system is designed to be highly available, handling hundreds of millions of messages a day in real time. There will also be multiple forms of storage to support the platform’s various stakeholders, including kafka, column-store databases, and S3-like files.

Developers at XTX are engaged in the entire software development lifecycle of software development. Developers work closely with other teams to gather requirements, before implementing, delivering and supporting their solutions. The Trading Data Technology team will be based in London. However, stakeholders to the platform exist in multiple locations including London, New York & Singapore.

There is currently a shared support rota with the Post Trade Technology team, which includes weekend on call every 10 weeks.

Responsibilities

• Back-end services are built in Go with some additional web-based GUI development in React. Engineers at XTX adopt a tech agnostic approach, opting for the best tool for each specific task. We do not expect candidates to have prior experience in front-end programming, or Golang, but it is essential that you are open-minded to using new technologies as appropriate.
• Communicate across front and back-office teams and users of the platform to understand wider business requirements and convert them into scalable, technical solutions.
• There is currently a shared support rota with the Post Trade Technology team, which includes weekend on call every 10 weeks.
• This is the 2^nd hire for the team, and the hire will be expected to own the design and development for their projects.

Essential Attributes

• A solid grounding in academic CS fundamentals, algorithms and data structures. Demonstrated commitment to rigorous software engineering discipline.
• Strong proficiency in a statically typed language. Prior experience with Golang is desirable, but certainly not required. Similarly, experience with front-end programming is not required.
• Desire to take ownership over projects and complex technical challenges.
• Familiarity with concurrent programming techniques and exposure to asynchronous, distributed systems.
• Understand database performance characteristics including indexing, query execution, with experience designing and optimising schemas and queries.
• Finance experience is not required, but the role will rapidly entail becoming a subject matter expert in the domain.
• We are targeting approximately 3 to 5 years’ experience. We view applications holistically and do have some flexibility around exact experience level. Please note that, whilst this role will involve significant ownership over projects; it is likely not suitable for those targeting a leadership position.

Benefits

• Onsite gym, sauna, and fitness classes at no charge.
• Extensive medical benefits including an on-site doctor and therapist at no charge.
• Breakfast and lunch provided daily.
• Various supports for caregivers, including emergency dependent care.
• Beautiful Kings Cross office: https://vimeo.com/257888726
• 25 days paid holiday per year + statutory holiday and paid sick days. We currently operate 4 days a week in-office, 1 from home.

At Sony Music Entertainment, we fuel the creative journey. We’ve played a pioneering role in music history, from the first-ever music label to the invention of the flat disc record. We’ve nurtured some of music’s most iconic artists and produced some of the most influential recordings of all time.

Today, we work in more than 70 countries, supporting a diverse roster of international superstars, developing and independent artists, and visionary creators. From our position at the intersection of music, entertainment, and technology, we bring imagination and expertise to the newest products and platforms, embrace new business models, employ breakthrough tools, and provide powerful insights that help our artists push creative boundaries and reach new audiences. In everything we do, we’re committed to artistic integrity, transparency, and entrepreneurship.

Sony Music Entertainment is a member of the Sony family of global companies.

Sony Music’s Product, Design, Engineering & Global Operations (PDEGO) team is seeking a Vice President of Engineering within our Content product team.

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).

Winton leverages quantitative analysis and cutting-edge technology to identify and capitalize on opportunities across global financial markets. We foster a collaborative and intellectually stimulating environment, bringing together individuals with Mathematics, Physics and Computer Science backgrounds who are passionate about applying rigorous scientific methods to financial challenges. As a fundamentally data-driven business, our success is heavily linked to the acquisition, processing, and analysis of vast datasets. High-quality, well-managed data forms the critical foundation for our quantitative research, strategy development, and automated trading systems.
 
As a Data Engineer within our Quantitative Platform team, you will play a pivotal role in building and maintaining the data infrastructure that fuels our research and trading strategies. You will be responsible for the end-to-end lifecycle of diverse datasets – including market, fundamental, and alternative sources – ensuring their timely acquisition, rigorous cleaning and validation, efficient storage, and reliable delivery through robust data pipelines. Working closely with quantitative researchers and technologists, you will tackle complex challenges in data quality, normalization, and accessibility, ultimately providing the high-fidelity, readily available data essential for developing and executing sophisticated investment models in a fast-paced environment.
 

Your responsibilities will include:

• Evaluating, onboarding, and integrating complex data products from diverse vendors, serving as a key technical liaison to ensure data feeds meet our stringent requirements for research and live trading.
• Designing, implementing, and optimizing robust, production-grade data pipelines to transform raw vendor data into analysis-ready datasets, adhering to software engineering best practices and ensuring seamless consumption by our automated trading systems.
• Engineering and maintaining sophisticated automated validation frameworks to guarantee the accuracy, timeliness, and integrity of all datasets, directly upholding the quality standards essential for the efficacy of our quantitative strategies.
• Providing expert operational support for our data pipelines, rapidly diagnosing and resolving critical issues to ensure the uninterrupted flow of high-availability data powering our daily trading activities.
• Participating actively in team rotations, including on-call schedules, to provide essential coverage and maintain the resilience of our data systems outside of standard business hours.

What we are looking for:

• 1+ years’ experience building ETL/ELT pipelines using Python
• Familiarity with various technologies such as S3, Kafka, Airflow, Iceberg. 
• A commitment to engineering excellence and pragmatic technology solutions.
• A desire to work in an operational role at the heart of a dynamic data-centric enterprise.
• Excellent communication and collaboration skills, and the ability to work in a team.

What would be advantageous:

• Strong understanding of financial markets.
• Proficiency working with large financial datasets from various vendors.
• Experience working with hierarchical reference data models.
• Proven expertise in handling high-throughput, real-time market data streams
• Familiarity with distributed computing frameworks such as Apache Spark
• Operational experience supporting real time system

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.

As a Senior Software Engineer on our Platform Data - Integration team, you will play an integral role in building systems and tools that allow users to discover and share data across the DRW organization. You will work alongside individual Traders, Quantitative Researchers, and Back-Office personnel to best utilize the firm’s data and platform tools. 

What you will do in this role: 

• Design and deliver software services and data tools that expand the data delivery capabilities of DRW’s Data Platform. 

• Define architectural patterns, standards, and technology decisions for the team. Apply these decisions to new solutions, as well as to evolve legacy systems. 

• Collaborate with teams across the organization to enable standardized data access. 

• Apply platform thinking to solve problems in a repeatable way at scale with standard 3rd party, open source, and in-house toolsets. 

• Develop AI workflows to improve team processes and accelerate feature delivery. 

What you will need in this role: 

• 8+ years of experience designing, developing, and delivering data-heavy software services. 

• Excellent written and verbal communication skills. 

• Proven ability to work in a collaborative, agile, and fast-paced environment, prioritizing multiple tasks and projects, and efficiently handle the demands of a trading environment. 

• Strong technical problem-solving skills. 

• Comfort working within a globally distributed team. 

• Expertise in Python, Java, or C#. 

• Expertise in multiple programming paradigms, design patterns, and refactoring. 

• Experience with multiple data storage technologies (e.g. RDBMS, NoSQL, Cassandra, Kafka, etc.) and knowledge of their associated trade-offs. 

• Experience designing software in multiple architectural styles (e.g. Service-Oriented, Event-Driven, Monolithic, etc.). 

• Experience building distributed systems which include load balancing, horizontal scaling, and data processing. 

• Experience confidently discussing tradeoffs between different technology and architectural choices and driving them to consensus. 

• Experience with multiple data formats and serialization systems (e.g. Protobuf/gRPC, Avro, Thrift, JSON, etc.). 

• Experience owning products end-to-end, from requirements through operations. 

• Experience responding to, managing, and resolving incidents. 

• Experience managing and observing workloads in a Kubernetes environment. 

• Experience mentoring junior software engineers. 

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] 

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!

What You’ll Do:

The Data Science team is focused on developing an advanced reliability platform. This system covers various aspects of data processing and analysis, including data intake, deriving meaningful metrics, identifying unusual patterns, predicting potential issues, finding slow processes in distributed systems, and using automated analysis to determine causes. We collaborate closely with internal teams like Fleet, Infrastructure, and AI Platform to enhance system stability, optimize resource use, shorten resolution times, and maintain service availability and financial performance.

About the role:

As a Senior Data & MLOps Engineer, you will design and scale the infrastructure supporting the GPU Intelligence Platform. This involves building pipelines for handling data, features, model training, and delivering insights and predictions for system health and optimization. You will transition the system from initial prototypes to a production environment operating across the fleet, focusing on scalability, separating real-time service from periodic processing, and dynamic resource management based on system load and data frequency. You will architect and deploy these scalable distributed services using orchestration technologies.

Key responsibilities:

• Design and implement scalable data ingestion pipelines.
• Build feature processing and baseline computation systems.
• Productionize models for prediction and detection.
• Develop and operate low-latency service and robust offline workflows.
• Architect horizontally scalable services with clear separation between components, leveraging orchestration for distribution.
• Implement monitoring and feedback loops for continuous model and signal improvement.
• Collaborate with Platform teams to integrate operational signals into monitoring and diagnostics.
• Implement a scalable solution for mitigation and structured analysis.

Who You Are:

• 7+ years of experience in data engineering, distributed systems, MLOps, or infrastructure ML roles in production environments.
• Proven experience building high-throughput streaming or telemetry pipelines (e.g., Kafka, Pulsar, Kinesis, or equivalent).
• Strong experience designing time-series feature pipelines and operating large-scale observability systems.
• Experience building and maintaining feature stores and ensuring offline/online feature parity.
• Hands-on experience deploying ML models to production, including versioning, monitoring, rollback, and drift detection.
• Experience designing scalable microservices deployed in Kubernetes-based environments.
• Strong proficiency in Python and at least one systems language (Go, Rust, or C++).
• Experience working with distributed compute or training systems (e.g., NCCL, PyTorch Distributed, Spark, Ray, Slurm).
• Familiarity with GPU telemetry systems such as NVML or DCGM and hardware-level monitoring concepts.
• Demonstrated experience scaling systems from Proof-of-Concept to production-grade, fleet-level deployments.

Preferred: 

• Experience working on GPU fleet management, hyperscale infrastructure, or AI training clusters.
• Experience building anomaly detection or failure prediction systems for hardware or distributed systems.
• Experience implementing distributed straggler detection or collective-level performance analysis systems.
• Experience developing agentic or LLM-powered reasoning systems for diagnostics or operational intelligence.
• Background in reliability engineering or SRE practices.

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. 

• You love building systems that turn raw infrastructure telemetry into actionable intelligence.
• You’re curious about distributed systems failure modes, GPU performance pathologies, and reliability engineering at scale.
• You’re excited by the idea of moving from anomaly detection to prediction to autonomous root cause reasoning.
• You enjoy designing platforms that protect uptime, revenue, and customer trust through proactive systems thinking.

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! 

DRW is a technology-driven, diversified principal trading firm. We trade our own capital at our own risk, across a broad range of asset classes, instruments and strategies, in financial markets around the world. As the markets have evolved over the past 30 years, so has DRW – maximizing opportunities to include real estate, cryptoassets and venture capital. With over 2000 employees and offices around the world, we work together to solve complex problems, challenge consensus and deliver meaningful results. It’s a place of high expectations, deep curiosity and thoughtful collaboration.

We are seeking a Senior Software Engineer to join our Unified Platform (UP) organization.  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 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:

• Develop tools to enable the business to rapidly embrace new opportunities in global markets
• 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
• Work with a team to maintain and extend our global markets reach
• 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
• Are excited to learn about financial markets, trading, etc.

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
• Strong experience with Java, Python or any modern programming language
• Experience processing high volumes of data at scale
• Excellent analytical and problem-solving skills
• Comfort working within a globally-distributed team
• A background in some of the following a bonus:
• Java experience
• Python experience
• Ruby experience
• Big data technologies: Spark, Trino, Kafka
• Financial Markets experience
• SQL: Postgres, Oracle
• Cloud-native deployments: AWS, Docker, Kubernetes
• Observability: Splunk, Prometheus, Grafana 

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-KS2

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.

As a Senior Data Engineer on our Data Experience team, you will play an integral role in bringing vendor datasets into our data platform, governing our centralized data pipelines, consolidating data delivery infrastructure across disparate systems, and working alongside individual Traders, Quantitative Researchers, and Back-Office personnel to best utilize the firm’s data and platform tools.

Technical requirements summary:

• Have extensive experience designing and building data pipelines
• Have experience working within modern batch and streaming data ecosystems
• An expert in SQL and Java or Python
• Extensive knowledge of data modeling techniques
• Able to own the delivery of data products, working with analysts and stakeholders to understand requirements and implement solutions
• Able to contribute to project management and project reporting
• Have experience driving nontrivial data migrations across platforms
• Able to establish, follow, and enforce data modeling standards across a large ecosystem.

What you will do in this role:

• Model, build, and manage data products built atop DRW’s Unified Data Platform.
• Work closely with Data Strategists to determine appropriate data sources and implement processes that onboard and manage new datasets for trading, research, and back-office purposes.
• Design data governance processes that enable discovery, cost-sharing, usage tracking, access controls, and quality control of datasets to address the needs of DRW trading teams and strategies.
• Continually monitor data ingestion pipelines and data quality to ensure stability, reliability, and quality of the data. Design monitoring and quality control software and processes.
• Own the technical aspects of vendor ingestion pipelines, coordinating with vendor relationship managers on upcoming changes, performing routine data operations without breaking internal users, and contributing to the team’s on-call rotation to respond to unanticipated changes.
• Rapidly respond to user requests, identifying platform gaps, and self-service opportunities that make the user experience more efficient.

What you will need in this role:

• 7+ years of experience working with modern data technologies and building data-first products.
• Excellent written and verbal communication skills.
• Proven ability to work in a collaborative, agile, and fast-paced environment, prioritizing multiple tasks and projects, and efficiently handle the demands of a trading environment.
• Proven ability to deliver rapid results within processes that span multiple stakeholders.
• Strong technical problem-solving skills.
• Extensive familiarity with SQL and Java or Python, with a proven ability to develop and deliver maintainable data transformations for production data pipelines.
• Experience leveraging data modeling techniques and ability to articulate the trade-offs of different approaches.
• Experience with one or more data processing technologies (e.g. Flink, Spark, Polars, Dask, etc.).
• Experience with multiple data storage technologies (e.g. S3, RDBMS, NoSQL, Delta/Iceberg, Cassandra, Clickhouse, Kafka, etc.) and knowledge of their associated trade-offs.
• Experience with multiple data formats and serialization systems (e.g. Arrow, Parquet, Protobuf/gRPC, Avro, Thrift, JSON, etc.).
• Experience managing data pipeline orchestration systems (e.g. Kubernetes, Argo Workflows, Airflow, Prefect, Dagster, etc.), delving deeply into low-level details.
• Proven experience in managing the operational aspects of large data pipelines such as backfilling datasets, rerunning batch jobs, monitoring event throughput, and handling dead-letter queues.
• Prior experience triaging data quality control processes, correcting data gaps and inaccuracies.

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] 

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] 

DRW is a technology-driven, diversified principal trading firm. We trade our own capital at our own risk, across a broad range of asset classes, instruments and strategies, in financial markets around the world. As the markets have evolved over the past 30 years, so has DRW – maximizing opportunities to include real estate, cryptoassets and venture capital. With over 2000 employees and offices around the world, we work together to solve complex problems, challenge consensus and deliver meaningful results. It’s a place of high expectations, deep curiosity and thoughtful collaboration.

We are seeking a Senior Software Engineer to join our Unified Platform (UP) organization.  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 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:

• Develop tools to enable the business to rapidly embrace new opportunities in global markets
• 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
• Work with a team to maintain and extend our global markets reach
• 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
• Are excited to learn about financial markets, trading, etc.

What we need on the team: 

• At least 2-3 years of platform-level software development experience
• Strong computer science fundamentals; a degree in Computer Science or equivalent work experience
• Strong experience with Java, Python or any modern programming language
• Experience processing high volumes of data at scale
• Excellent analytical and problem-solving skills
• Comfort working within a globally-distributed team
• A background in some of the following a bonus:
• Java experience
• Python experience
• Ruby experience
• Big data technologies: Spark, Trino, Kafka
• Financial Markets experience
• SQL: Postgres, Oracle
• Cloud-native deployments: AWS, Docker, Kubernetes
• Observability: Splunk, Prometheus, Grafana 

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-TL

DRW is a technology-driven, diversified principal trading firm. We trade our own capital at our own risk, across a broad range of asset classes, instruments and strategies, in financial markets around the world. As the markets have evolved over the past 30 years, so has DRW – maximizing opportunities to include real estate, cryptoassets and venture capital. With over 2000 employees and offices around the world, we work together to solve complex problems, challenge consensus and deliver meaningful results. It’s a place of high expectations, deep curiosity and thoughtful collaboration.

We are seeking a Software Engineer to join our Unified Platform (UP) organization.  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 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:

• Develop tools to enable the business to rapidly embrace new opportunities in global markets
• 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
• Work with a team to maintain and extend our global markets reach
• 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
• Are excited to learn about financial markets, trading, etc.

What we need on the team: 

• At least 2-3 years of platform-level software development experience
• Strong computer science fundamentals; a degree in Computer Science or equivalent work experience
• Strong experience with Java, Python or any modern programming language
• Experience processing high volumes of data at scale
• Excellent analytical and problem-solving skills
• Comfort working within a globally-distributed team
• A background in some of the following a bonus:
• Java experience
• Python experience
• Ruby experience
• Big data technologies: Spark, Trino, Kafka
• Financial Markets experience
• SQL: Postgres, Oracle
• Cloud-native deployments: AWS, Docker, Kubernetes
• Observability: Splunk, Prometheus, Grafana 

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-TL

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.

About the Team

The DRW C/FICCO Data Engineering team is essential to developing valuable datasets and scalable data infrastructure critical to our trading operations. We work closely with traders, researchers, and other engineering teams to ensure seamless data flow and accessibility, supporting data-driven decision-making. Our systems are designed to handle large volumes of data, maintain quality and integrity, and provide robust APIs for fast, ergonomic data retrieval.

About the Role

In this role you will:

• Collaborate with cross-functional teams to deliver data solutions that support diverse trading activities.
• Take full ownership of data products, guiding them from initial concept through to stable production.
• Design, build, and maintain systems for both batch processing and real-time streaming of time series datasets, ensuring high data quality and reliability.
• Develop APIs and data access methods for fast, intuitive retrieval of historical and live data, working with both new and existing systems.
• Provide on-call support as needed.

Qualifications:

• A minimum of 2+ years’ experience using at least one of Python, Java, and C++, and can work comfortably in multiple programming languages
• A track record of working directly with end customers, scoping and delivering production systems in fast-moving and ambiguous environments
• Ability to dive deep into complex problems, develop intuitive understandings, spot risks early, and minimize complexity
• Exceptional interpersonal skills - you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environment
• Experience in the financial markets, especially in delta one, store of value, and/or FICC options trading
• Experience with Linux-based, concurrent, high-throughput, low-latency software systems
• Experience with pipeline orchestration frameworks (e.g. Airflow, Dagster)
• Experience with streaming platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databases
• Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience

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-BL1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

#LI-MH1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

#LI-MH1

The Role

As a Quant Developer at Man Group you will be part of one of our flagship teams in Man’s systematic trading arm - Man AHL. The team works hand-in-hand with Quant Researchers focusing on equity market neutral models. Your challenges will be varied, and will involve building new alphas and new trading strategies.

The Team

Quant Developers at Man Group are all part of our broader technology team, members of a group of over sixty individuals representing eighteen nationalities. We have varied backgrounds including Computer Science, Mathematics, Physics, Engineering – even Classics - but what unifies us is a passion for technology and writing high-quality code.

Our developers are organised into small cross-functional teams, with our engineering roles broadly of two kinds: “Quant Platform Developers” otherwise known as our “Core Techs”, and “Quant Developers” which we often refer to as “Sector Techs”. We use the term “Sector Tech” because some of our teams are aligned with a particular asset class or market sector. People often rotate teams in order to learn more about our system, as well as find the position that best matches their interests.

 
Our Technology

Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the open-source libraries we use extensively. We implement the systems that require the highest data throughput in Java and C++.

We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker and Kubernetes for containerisation, OpenStack for our private cloud, Ansible and Terraform for architecture automation, and Slack for internal communication. We heavily utilise ArcticDB (https://arcticdb.io/) our in-house developed DataFrame Database. Our technology list is never static: we constantly evaluate new tools and libraries.

 
Technology and Business Skills

At AHL we strive to hire only the brightest and best and most highly skilled and passionate technologists.

Essential

• Exceptional technology skills; recognised by your peers as an expert in your domain
• A keen interest and understanding of financial markets and instruments
• A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches
• Strong knowledge of Python
• Proficient on Linux platforms with knowledge of various scripting languages
• Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas
• Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms

Advantageous

• Experience of front office quantitative software development e.g. in a hedge fund or investment bank
• Experience of web based development and visualisation technology for portraying large and complex data sets and relationships
• Experience of machine learning techniques, natural language processing and related libraries and frameworks e.g. scikit-learn, Tensorflow

 
Personal Attributes

• Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university
• Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others
• Demonstrable passion for technology e.g. personal projects, open-source involvement
• Intellectually robust with a keenly analytic approach to problem solving
• Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities
• Focused on delivering value to the business with relentless efforts to improve process
• Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike
• Confident communicator; able to argue a point concisely and deal positively with conflicting views

 
Working Here

Man Group has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do.  We are actively engaged with the broader technology community.

• We host and sponsor London’s PyData and Machine Learning Meetups
• We open-source some of our technology. See github.com/man-group
• We regularly talk at leading industry conferences, and tweet about relevant technology and how we’re using it. See @ManQuantTech

We’re fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We believe that agile working allows us to deliver the best business outcomes for our clients and investors as well as having a positive impact on life / work balance and the wellbeing of our staff. We are simultaneously committed to "levelling the playing field" and believe that agile working promotes inclusivity across teams, regions and business units.

• We organise regular social events, everything from photography through climbing, karting, wine tasting and monthly team lunches
• We have annual away days and off-sites for the whole team
• As well as PC’s and Macs, in our office you’ll also find numerous pieces of cool tech such as light cubes and 3D printers, guitars, ping-pong and table-football, and a piano

We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications.

The Team You'll Work With

You’ll enter our engineering interview process as part of a pooled hiring model. We’re excited to meet people who are energized by complex, ambiguous problems. We look for owners and problem-solvers who are eager to dive into the details of their craft, and are motivated by building products and experiences that meaningfully expand access to ownership. 

As you move through our process, we’ll transition from the general pool to a team-matching phase, ensuring that by the final interview, you are aligned with a specific team that matches your strengths and career goals. 

High impact domains you might join include:

• Integrated CRM & ERP Solutions: Defining and delivering our next-generation CRM as part of a fully integrated ERP for private capital. You’ll build deep, greenfield product and data integrations at the heart of the platform, shaping a system that unifies front-office intelligence with financial and operational workflows. You’ll work closely with the founder of the CRM Product that Carta has acquired.
• International Fund Administration: Building and scaling Carta's FA platform for all markets outside the US, adapting the core FA product to fit local standards across Europe, APAC, and beyond. Operating as a lean, high-growth "startup within a startup", you'll work end-to-end with regional FA, sales, and other teams to launch in new markets, iterate quickly toward product-market fit, and own outcomes for this growing business.  

The Problems You'll Solve

As a Senior Software Engineer II, you will lead technically complex projects and serve as a multiplier for your team. You’ll work to:

• Drive Implementation: Lead the execution of complex technical projects, driving them from concept to production while maintaining high standards for performance and reliability.
• Simplify Systems: Dig deep into our architecture to identify opportunities to simplify code and infrastructure, prioritizing changes that have a measurable business impact.
• Leverage Modern Tooling: Use the best AI-assisted engineering tools to accelerate your workflow, improve code quality, and spend more of your time solving the high-level logic and unconventional problems 
• Foster Growth: Act as a mentor and coach, raising the technical bar for your peers through diligent PR reviews and architectural guidance.
• Collaborate Cross-Functionally: Partner with product and design to ensure we are building the right solution for the user, not just following a specification.
  
  

About You

• The Tech Stack: You have experience with (or a desire to learn) our core technologies: Python, Django, React, Postgres, and Kafka. We also utilize Java, gRPC, and AWS. 
• Execution: You can break down complex user stories into actionable tasks and execute them with minimal guidance.
• Strategic Mindset: You understand the "why" behind your code and can articulate technical trade-offs to stakeholders.
• Experience: We recommend 8+ years of professional software engineering experience for this level.

What we do 

We are looking to hire a Lead Systems Reliability Engineer to join our engineering team to continue building and maintaining our data-driven platform. We leverage technologies like Aerospike, MongoDB, and Kafka to perform many real time activities, translating to with a p99 latency under 1 millisecond on the back end!

Do you enjoy tuning, performance testing, troubleshooting, automation, and operating at scale? Does testing next-gen hardware, evaluating data access patterns, and designing automation around distributed systems excite you?

What makes this role different:

• First in the Industry: The Trade Desk is the first company to run over 5MM QPS to NVMe in Aerospike on a single node, forcing core software redesigns to achieve this scale.
• Work on Cutting-Edge Hardware: Design clusters with nodes featuring 300TB of NVMe, 3TB RAM, and 512 cores, delivering a global 2,500GB/s throughput directly from flash.
• Shape the Future of Infrastructure: Spec your own systems and collaborate directly with AMD and NoSQL vendors to run PoCs and optimize bleeding-edge technology for internet-scale workloads.
• Deep Performance Engineering: Dive into kernel, hardware, and system interactions, leveraging tools like flamegraphs, NUMA counters, BIOS tuning, and synthetic testing to achieve world-class performance.
• Push Hardware Endurance Limits: Build clusters engineered to withstand over 1 zettabyte of endurance.

What you’ll do: 

• Lead a team to influence, manage, and plan work streams, systems, and data structures at scale within a global ecosystem, spanning multiple infrastructure providers (cloud and traditional datacenters).
• Encourage, improve, and build infrastructure automation in a way that works with stateful systems at scale.
• Own operations for Linux-based systems running Aerospike, Kafka, and Mongo.
• Serve as a point of contact to review new use cases, answer questions, and participate in on-call rotation.
• Learn to be a NoSQL SME. You do not need experience to apply – we will train you.
• Benchmark and analyze next generation hardware offerings.

Who you are: 

Skills and Experience

• Linux operating system
• Leadership experience and ability to mentor
• Troubleshooting
  • Techniques for isolation, scientific method
  • Identify bottlenecks (Is it CPU? IO?)
• Nice-To-Have experience:
  • Physical hardware (on-prem) internals, management, and operation
  • Performing testing and tuning
  • Databases (relational or NoSQL)
  • Ansible/PyInfra/Chef
  • Prometheus
  • Kubernetes
  • Python/Ruby/Rust/Bash/Golang/C#

• Thinking beyond the task at hand to deeply understand the 'why' behind an objective.
• A welcoming of ideas, and understanding of, perspectives that are different from your own and an interest in seeking and building from a common ground.
• You are a creative thinker, not bound by "the way things have always been done" but are thinking of the questions nobody has thought of and are "yet to be asked". What you know is less important than how well you learn, innovate, collaborate, and adapt.
• As a global team from many diverse backgrounds, experiences, and perspectives, you value and seek out paths for fostering diversity.

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

The Role

As a Senior Platform Engineer at Gigs, you'll work at the foundation of everything we build. You'll design, build, and operate the infrastructure and developer tooling that powers our connectivity and payments platform — enabling product teams to ship faster, more reliably, and at scale.

Our Foundation team owns the systems that every engineer at Gigs depends on: CI/CD pipelines, cloud infrastructure, observability, deployment tooling, and the shared platform services that keep our product running. You'll take ownership of complex infrastructure challenges end-to-end and drive them to production with a high bar for reliability and developer experience.

This is a role for someone who cares deeply about the craft of platform engineering — who gets energy from making other engineers more productive, who thinks in systems, and who isn't satisfied until the solution is both robust and elegant. You'll be joining a small, high-impact team where your work will directly shape how Gigs scales over the next few years.

What You Will Do

• Own and improve Gigs' cloud infrastructure, ensuring our platform is reliable, scalable, and cost-efficient as we grow.
• Design and build internal developer tooling and platform services that accelerate how product teams ship — from CI/CD pipelines to deployment workflows to local development environments.
• Drive improvements to our observability stack, making it easy for every engineer to understand system behavior, debug issues, and respond to incidents with confidence.
• Take complex infrastructure problems end-to-end: scoping, designing, implementing, and operating solutions in production.
• Collaborate closely with product engineering teams to understand their pain points and build platform capabilities that unblock them.
• Contribute to our infrastructure-as-code practices, ensuring our cloud environments are reproducible, auditable, and version-controlled.
• Participate in on-call rotations, incident response, and post-mortems — and use what you learn to make our systems more resilient.
• Raise the bar for platform engineering quality through code reviews, documentation, and advocating for best practices across the team.

What We Are Looking For

• You have 5+ years of professional software engineering experience, with meaningful time spent on infrastructure, platform, or DevOps/SRE work in a production environment.
• You have experience designing and building a platform layers e.g. centralised authentication, observability, routing logic, or API versioning which other product teams integrate against or build on top of.
• You have hands-on experience with cloud platforms (GCP preferred) and infrastructure-as-code tools like Terraform. You understand networking, compute, and storage at a level that lets you make good trade-offs.
• You have experience building and maintaining CI/CD pipelines and deployment systems. You care about developer experience and know that a great platform is one that engineers actually want to use.
• You think in systems. You can reason about distributed architectures, understand failure modes, and design for reliability and observability from the start.
• You enjoy building products from the infrastructure up. You care about finding the right solution to internal customer needs, and you're comfortable taking ownership and delivering.
• You communicate clearly and collaborate well. You can explain infrastructure decisions to product engineers, write useful documentation, and contribute to technical discussions with confidence.
• You care about more than just engineering — you want to see the business impact of everything you do, and you know how to make pragmatic speed/quality trade-offs.
• You have a growth mindset when it comes to tooling and practices. You stay curious about how the industry is evolving — including AI-assisted development — and you're thoughtful about adopting what makes you and your team more effective.

Bonus Points If

• You have experience with our stack: GCP (cloud run), Docker, Terraform, Ruby on Rails, Go, PostgreSQL, Kafka, PubSub.
• You have worked in fintech, payments, telecom, or other regulated industries where reliability and compliance matter.
• You have experience building developer-facing platforms or internal tooling at a high-growth startup (Series B–D).
• You have contributed to open-source infrastructure tooling or have a track record of improving developer productivity at scale.
• You use AI tooling as part of your engineering workflow and have developed a practical sense for where it adds value and where it doesn't — for example, using it for infrastructure scaffolding, debugging, exploring unfamiliar APIs, or drafting documentation, while knowing when to rely on your own judgment.

The Role:

As a Senior Solutions Architect specializing in containerized solutions, you will play a crucial, pioneering role in this new initiative. Your primary focus will be leading the deployment of these solutions within our customer environments.

Solutions Architects are vital members of our project teams, often serving as the initial technical point of contact for our customers and key technical stakeholders for a successful deployment of Celonis. To ensure our customers achieve value, you will drive the technical setup required to leverage the full range of Celonis features and functionalities, including process mining, execution management, process automation, Action Flow, and task mining.

Given the unique nature of every customer environment, you will be the key liaison for translating the customer's technical requirements to ensure successful deployment on the clients infrastructure and successful integrations with their source systems. Furthermore, you will lead discussions on user management and authentication, acting as a technical partner to remove any technical barriers to user adoption.

The work you’ll do:

• On Celonis side you are the key technical stakeholder for a successful technical delivery and onboarding of Celonis for enterprise clients.
• Lead technical discussions to analyze customer architecture, recommend optimal solutions, and facilitate deployment, managing expectations amidst technical constraints.
• Remove technical obstacles to maximize Celonis user adoption, clarifying technical risks and necessary tradeoffs.
• Promote reusability by choosing between dedicated customer solutions and broader platform enhancements in collaboration with Celonis product development.
• Establish real-time data integrations between customer systems and Celonis via APIs and internal tools.
• Guide customers on authentication, user/group management, and provisioning best practices. Thus, removing all technical barriers to drive user adoption of Celonis.

The qualifications you need:

• Proven experience of 3+ years deploying and managing containerized applications on Kubernetes.  Advanced knowledge with at least one specific Kubernetes distribution (Amazon EKS, Azure AKS, RedHat OpenShift, etc.).
• Eligibility for UK Security Check (SC) clearance is required; existing clearance is a strong advantage.
• Very good understanding of best practices in deploying, scaling, and maintaining highly available, secure and resilient containerized applications on Kubernetes, ensuring efficient resource utilization and operational stability. 
• Proven experience implementing infrastructure as code (IaC, e.g. with Terraform) is required; Helm or Kustomize experience is strongly preferred. Fluency with additional tools such as ArgoCD, Jenkins, GitHub Actions, Ansible, etc., is a plus.
• Experience with at least one of the major cloud platforms (AWS, Azure, GCP) would be a plus.
• Experience & interest in working with modern tech stack & methods like REST/SOAP API-Management, Data Ingestion & Streaming (Kafka or similar), SSO, LDAP, IT Security, Agile, etc.
• Experience in industry with experience to work on Python, SQL, data pipelines & ETL processes for large volumes of data is a plus.
• Knowledgeable about security and compliance topics for enterprise applications.Solid experience with project management, outstanding customer-centric & proven experience working with customers.
• A solution-oriented professional that enjoys deep technical discussions as much as transferring your technical knowledge into understandable terms to a broader audience

About the Role

Our Platform team creates the foundation that allows our entire engineering organisation to move fast. This means building shared tooling, managing migrations (including our move from a Ruby monolith), and evolving our infrastructure.

We’re looking for a Mid/Senior Backend Engineer to join a team that keeps frameworks lean and focuses on what matters: clean, maintainable code, shipped fast with TDD, DDD, and continuous integration and delivery.

We are a Go shop, and while we’re busy migrating away from our Ruby monolith, our stack includes PostgreSQL, MongoDB, RabbitMQ, Redis, gRPC, and Thrift. Everything runs on AWS and Kubernetes, managed via Terraform.

Our interview process includes a recruiter screen, algorithms and live coding. Senior+ candidates also complete a system design section and a structured review of past experience and achievements.

Responsibilities

• Write high-quality, performant code primarily in Go.
• Implement new microservices while helping us responsibly manage and migrate away from legacy services.
• Work closely with product managers, designers, and data scientists to turn abstract requirements into concrete technical designs.
• Ensure our systems stay responsive under heavy load, optimising for both latency and reliability.

Requirements

• 3+ years of experience (5+ years for seniors) building and maintaining scalable backend services.
• We use Go. If you know it, great. If not, we’ll interview you in your strongest language (Python, C++, Java, Ruby, etc.). We hire for engineering fundamentals, not syntax.
• In-depth knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, Redis) and experience with message brokers like RabbitMQ or Kafka.

What we Offer

• Office-based role in West London, four days a week with flexible start and finish times, plus one remote day of your choice
• Salary: £90,000 – £120,000
• Employee stock options plan
• Private medical and dental insurance
• Life and critical illness cover
• Latest-generation MacBook Pro and 4k display
• Monthly credit towards Wheely journeys
• Cycle to Work scheme
• Professional development stipend
• Relocation support, including visa sponsorship and allowance

About the Role

Our Platform team creates the foundation that allows our entire engineering organisation to move fast. This means building shared tooling, managing migrations (including our move from a Ruby monolith), and evolving our infrastructure.

We’re looking for a Mid/Senior Backend Engineer to join a team that keeps frameworks lean and focuses on what matters: clean, maintainable code, shipped fast with TDD, DDD, and continuous integration and delivery.

We are a Go shop, and while we’re busy migrating away from our Ruby monolith, our stack includes PostgreSQL, MongoDB, RabbitMQ, Redis, gRPC, and Thrift. Everything runs on AWS and Kubernetes, managed via Terraform.

Our interview process includes a recruiter screen, algorithms and live coding. Senior+ candidates also complete a system design section and a structured review of past experience and achievements.

Responsibilities

• Write high-quality, performant code primarily in Go.
• Implement new microservices while helping us responsibly manage and migrate away from legacy services.
• Work closely with product managers, designers, and data scientists to turn abstract requirements into concrete technical designs.
• Ensure our systems stay responsive under heavy load, optimising for both latency and reliability.

Requirements

• 3+ years of experience (5+ years for seniors) building and maintaining scalable backend services.
• We use Go. If you know it, great. If not, we’ll interview you in your strongest language (Python, C++, Java, Ruby, etc.). We hire for engineering fundamentals, not syntax.
• In-depth knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, Redis) and experience with message brokers like RabbitMQ or Kafka.
• Upper-Intermediate (B2) English proficiency or higher. You should be comfortable debating technical trade-offs with your peers.

What we Offer

• Office-based role in Nicosia, four days a week with flexible start and finish times, plus one remote day of your choice
• Competitive salary
• Employee stock options plan
• Private medical and dental insurance
• Daily Lunch allowance
• Latest-generation MacBook Pro and 4k display
• Professional development stipend
• Relocation support, including visa sponsorship and allowance

About the role

Our Marketplace team builds the models and algorithms that balance supply and demand, optimising pricing and matching to ensure chauffeurs earn and passengers aren't left waiting.

We’re looking for a Mid/Senior Backend Engineer to join a team that keeps frameworks lean and focuses on what matters: clean, maintainable code, shipped fast with TDD, DDD, and continuous integration and delivery.

We are a Go shop, and while we’re busy migrating away from our Ruby monolith, our stack includes PostgreSQL, MongoDB, RabbitMQ, Redis, gRPC, and Thrift. Everything runs on AWS and Kubernetes, managed via Terraform.

Our interview process includes a recruiter screen, algorithms and live coding. Senior+ candidates also complete a system design section and a structured review of past experience and achievements.

Responsibilities

• Write high-quality, performant code primarily in Go.
• Implement new microservices while helping us responsibly manage and migrate away from legacy services.
• Work closely with product managers, designers, and data scientists to turn abstract requirements into concrete technical designs.
• Ensure our systems stay responsive under heavy load, optimising for both latency and reliability.

Requirements

• 3+ years of experience (5+ years for seniors) building and maintaining scalable backend services.
• We use Go. If you know it, great. If not, we’ll interview you in your strongest language (Python, C++, Java, Ruby, etc.). We hire for engineering fundamentals, not syntax.
• In-depth knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, Redis) and experience with message brokers like RabbitMQ or Kafka.
• Upper-Intermediate (B2) English proficiency or higher. You should be comfortable debating technical trade-offs with your peers.

What we Offer

• Office-based role in Nicosia, four days a week with flexible start and finish times, plus one remote day of your choice
• Competitive salary
• Employee stock options plan
• Private medical and dental insurance
• Daily Lunch allowance
• Latest-generation MacBook Pro and 4k display
• Professional development stipend
• Relocation support, including visa sponsorship and allowance

About the Role

Our Marketplace team builds the models and algorithms that balance supply and demand, optimising pricing and matching to ensure chauffeurs earn and passengers aren't left waiting.

We’re looking for a Mid/Senior Backend Engineer to join a team that keeps frameworks lean and focuses on what matters: clean, maintainable code, shipped fast with TDD, DDD, and continuous integration and delivery.

We are a Go shop, and while we’re busy migrating away from our Ruby monolith, our stack includes PostgreSQL, MongoDB, RabbitMQ, Redis, gRPC, and Thrift. Everything runs on AWS and Kubernetes, managed via Terraform.

Our interview process includes a recruiter screen, algorithms and live coding. Senior+ candidates also complete a system design section and a structured review of past experience and achievements.

Responsibilities

• Write high-quality, performant code primarily in Go.
• Implement new microservices while helping us responsibly manage and migrate away from legacy services.
• Work closely with product managers, designers, and data scientists to turn abstract requirements into concrete technical designs.
• Ensure our systems stay responsive under heavy load, optimising for both latency and reliability.

Requirements

• 3+ years of experience (5+ years for seniors) building and maintaining scalable backend services.
• We use Go. If you know it, great. If not, we’ll interview you in your strongest language (Python, C++, Java, Ruby, etc.). We hire for engineering fundamentals, not syntax.
• In-depth knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, Redis) and experience with message brokers like RabbitMQ or Kafka.

What we Offer

• Office-based role in West London, four days a week with flexible start and finish times, plus one remote day of your choice
• Salary: £90,000 – £120,000
• Employee stock options plan
• Private medical and dental insurance
• Life and critical illness cover
• Latest-generation MacBook Pro and 4k display
• Monthly credit towards Wheely journeys
• Cycle to Work scheme
• Professional development stipend
• Relocation support, including visa sponsorship and allowance

About the Role

Our Mapping team tackles the spatial intelligence of the platform: road matching, low-latency ETA predictions, and processing thousands of coordinates every second to ensure every journey is accurately tracked.

We’re looking for a Mid/Senior Backend Engineer to join a team that keeps frameworks lean and focuses on what matters: clean, maintainable code, shipped fast with TDD, DDD, and continuous integration and delivery.

We are a Go shop, and while we’re busy migrating away from our Ruby monolith, our stack includes PostgreSQL, MongoDB, RabbitMQ, Redis, gRPC, and Thrift. Everything runs on AWS and Kubernetes, managed via Terraform.

Our interview process includes a recruiter screen, algorithms and live coding. Senior+ candidates also complete a system design section and a structured review of past experience and achievements.

Responsibilities

• Write high-quality, performant code primarily in Go.
• Implement new microservices while helping us responsibly manage and migrate away from legacy services.
• Work closely with product managers, designers, and data scientists to turn abstract requirements into concrete technical designs.
• Ensure our systems stay responsive under heavy load, optimising for both latency and reliability.

Requirements

• 3+ years of experience (5+ years for seniors) building and maintaining scalable backend services.
• We use Go. If you know it, great. If not, we’ll interview you in your strongest language (Python, C++, Java, Ruby, etc.). We hire for engineering fundamentals, not syntax.
• In-depth knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, Redis) and experience with message brokers like RabbitMQ or Kafka.
• At least 1 year of hands-on experience with mapping-related work such as processing noisy geospatial data, map-matching techniques, or road network graphs and routing algorithms.

Nice to have

• Driver-side intuition for navigation systems (rerouting behavior, GPS drift, missed turns, real-world edge cases).
• Experience with routing engines like OSRM.
• Proficiency in C++.
• Familiarity with open geospatial datasets such as OpenStreetMap.

What we Offer

• Office-based role in West London, four days a week with flexible start and finish times, plus one remote day of your choice
• Salary: £90,000 – £120,000
• Employee stock options plan
• Private medical and dental insurance
• Life and critical illness cover
• Latest-generation MacBook Pro and 4k display
• Monthly credit towards Wheely journeys
• Cycle to Work scheme
• Professional development stipend
• Relocation support, including visa sponsorship and allowance

About the Role

Our Mapping team tackles the spatial intelligence of the platform: road matching, low-latency ETA predictions, and processing thousands of coordinates every second to ensure every journey is accurately tracked.

We’re looking for a Mid/Senior Backend Engineer to join a team that keeps frameworks lean and focuses on what matters: clean, maintainable code, shipped fast with TDD, DDD, and continuous integration and delivery.

We are a Go shop, and while we’re busy migrating away from our Ruby monolith, our stack includes PostgreSQL, MongoDB, RabbitMQ, Redis, gRPC, and Thrift. Everything runs on AWS and Kubernetes, managed via Terraform.

Our interview process includes a recruiter screen, algorithms and live coding. Senior+ candidates also complete a system design section and a structured review of past experience and achievements.

Responsibilities

• Write high-quality, performant code primarily in Go.
• Implement new microservices while helping us responsibly manage and migrate away from legacy services.
• Work closely with product managers, designers, and data scientists to turn abstract requirements into concrete technical designs.
• Ensure our systems stay responsive under heavy load, optimising for both latency and reliability.

Requirements

• 3+ years of experience (5+ years for seniors) building and maintaining scalable backend services.
• We use Go. If you know it, great. If not, we’ll interview you in your strongest language (Python, C++, Java, Ruby, etc.). We hire for engineering fundamentals, not syntax.
• In-depth knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, Redis) and experience with message brokers like RabbitMQ or Kafka.
• At least 1 year of hands-on experience with mapping-related work such as processing noisy geospatial data, map-matching techniques, or road network graphs and routing algorithms.
• Upper-Intermediate (B2) English proficiency or higher. You should be comfortable debating technical trade-offs with your peers.

Nice to have

• Driver-side intuition for navigation systems (rerouting behavior, GPS drift, missed turns, real-world edge cases).
• Experience with routing engines like OSRM.
• Proficiency in C++.
• Familiarity with open geospatial datasets such as OpenStreetMap.

What we Offer

• Office-based role in Nicosia, four days a week with flexible start and finish times, plus one remote day of your choice
• Competitive salary
• Employee stock options plan
• Private medical and dental insurance
• Daily Lunch allowance
• Latest-generation MacBook Pro and 4k display
• Professional development stipend
• Relocation support, including visa sponsorship and allowance

As a Senior Software Engineer, you will be part of one of our autonomous agile teams. You will help us develop the services that power the Blacklane, work on improving our back-office system, or solve problems around our products which allow business partners to integrate with the Blacklane platform.

Our environment is composed of Ruby, Go, Typescript and Java services, designed using DDD. These services are deployed to our Kubernetes cluster and communicate via domain events using SQS and Kafka. We use diverse data storage technologies such as Postgres, MySQL, Elasticsearch, Redis, and DynamoDB. As for infrastructure and cloud resources, we predominantly use AWS and manage provisioning through Terraform.

YOUR CHALLENGE:

As a Senior Software Engineer, you will be part of one of our autonomous agile teams. You will help us develop the services that power the Blacklane, work on improving our back-office system, or solve problems around our products which allow business partners to integrate with the Blacklane platform.

Our environment is composed of Ruby, Go, Typescript and Java services, designed using DDD. These services are deployed to our Kubernetes cluster and communicate via domain events using SQS and Kafka. We use diverse data storage technologies such as Postgres, MySQL, Elasticsearch, Redis, and DynamoDB. As for infrastructure and cloud resources, we predominantly use AWS and manage provisioning through Terraform.

YOUR CHALLENGE:

As a Senior Software Engineer, you will be part of one of our autonomous agile teams. You will help us develop the services that power the Blacklane, work on improving our back-office system, or solve problems around our products which allow business partners to integrate with the Blacklane platform.

Our environment is composed of Ruby, Go, Typescript and Java services, designed using DDD. These services are deployed to our Kubernetes cluster and communicate via domain events using SQS and Kafka. We use diverse data storage technologies such as Postgres, MySQL, Elasticsearch, Redis, and DynamoDB. As for infrastructure and cloud resources, we predominantly use AWS and manage provisioning through Terraform.

YOUR CHALLENGE:

Our Product R&D business is performing and growing strongly, which is why we are looking for a Staff Software Engineer with a strong focus on event-driven architectures to help scale On’s business to the next level.

As a key member of our engineering team, you will play a pivotal role in leading the development of data streaming for product data throughout its lifecycle. In addition to being hands-on, you will mentor team members, share your knowledge and expertise, and influence the technical direction of the organization.

You will be based in London (or within commutable distance) and are willing to be in the office two days per week. You will collaborate closely with teams in Zurich, Berlin, Ho Chi Minh and London, and work with Technology and Product Development departments across On’s global office locations.

Your Mission

• Drive the development of data streaming across our event-based architecture, using technologies such as Kafka and Node.js
• Own technical knowledge across multiple domains, retaining architectural context while providing guidance on data streaming standards, governance, and best practices across the ensuring effective application of organizational data streaming standards, governance, and best practices within team codebases and projects
• Be hands-on by writing and owning production code, setting a high quality bar through thoughtful PR reviews, debugging production issues, and continuously improving reliability, operability, and observability across data streaming pipelines
• Act as a technical mentor to engineers across multiple teams on event-driven architecture, streaming patterns and anti-patterns, schema design and evolution, and data contracts and ownership
• Influence the technical direction of the organization by collaborating with senior leadership, helping to establish well-designed and well-documented architectures, and bringing systems into production
• Collaborate with cross-functional teams to define technical solutions for data streaming and data governance, aligning with business goals and stakeholder needs

Your Story

• 5+ years of experience building and operating large scale event driven systems in production
• Extensive hands-on experience with Apache Kafka in production, including modeling data pipelines and applying streaming patterns and anti-patterns
• Experience leading complex technical initiatives, partnering with multiple stakeholders and teams, and providing technical direction to others
• Experience mentoring and coaching engineers, providing guidance and feedback to support growth and development
• Exceptional verbal and written communication skills, with the ability to clearly articulate complex technical concepts to senior leaders, technical stakeholders, and cross-functional teams

Nice to have:
AI and Data engineering fundamentals and exposure to BigQuery. Previous experience in manufacturing lifecycle or production of physical goods, and exposure to Computer Vision or an interest in learning.