Available Locations: Austin, Seattle, London, Lisbon, Washington DC, Toronto

About the Department

Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization.

About the Team

ETI’s Storage Infrastructure team is responsible for the core storage layer that underpins many of ETI's stateful services. Our scope ranges from managing the physical hardware to operating the distributed databases and storage systems built upon it. We run this infrastructure globally across Cloudflare's network, which presents unique and complex engineering puzzles. We navigate efficiently expanding storage capacity, optimizing rebuild operations, and coordinating operations across failure domains to uphold durability. While other service teams focus on product development, our mission is to ensure the underlying storage is reliable, performant, and scalable.

You’ll be joining a highly motivated team that is building the next generation of distributed storage services.

What You’ll Do

In this role, you will help build and operate the next generation of globally distributed storage systems. You will own your code from inception to release, delivering solutions at all layers of the stack. On any given day, you might write a design document for a new provisioning system, model failure domain dependencies across edge locations, benchmark new storage hardware, build standardized observability and runbooks for distributed database clusters, or automate operational toil through purpose-built tooling and intelligent automation. You can expect to interact with a variety of languages and technologies including Rust, Go, Saltstack, and Terraform.

Examples of desirable skills, knowledge, and experience

• Strong programming skills with languages like Rust, Go, or Python
• A solid understanding of distributed systems concepts such as consistency, consensus, data replication, fault tolerance, and partition tolerance
• Experience with distributed databases and storage systems
• Experience with infrastructure configuration tooling and infrastructure as code
• Familiarity with storage fundamentals: block devices, filesystems, SSD characteristics
• Experience building and maintaining high-throughput, low-latency systems
• Understanding of network fundamentals as they relate to distributed storage -- bandwidth constraints, latency tradeoffs, cross-datacenter replication
• Strong written and verbal communication skills and ability to explain technical decisions clearly
• Comfortable operating in fast-paced environments with tight deadlines and evolving priorities

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Solutions Architecture Team partners with our users to realize their full potential through the adoption of prescriptive solutions that drive their growth and success. We influence revenue growth across Stripe’s product portfolio, and collaborate with sales, support, product management, and Stripe’s executive team to provide the best experience to our most valued customers.

What you’ll do

As a member of the team, the Solutions Architect will build highly consultative trusted relationships with c-level executives and technical decision makers in the customer’s organization to provide business and technical thought leadership, and become a trusted advisor in solving mission-critical business challenges. You will architect business models with them so they can drive new monetization opportunities and growth for both the user and Stripe. 

Responsibilities

• Be a key member of the Platform account team with deep involvement in defining the customer strategy; Identify and close new complex opportunities, and accelerate solution adoption. 
• Identify and close new complex opportunities, and accelerate solution adoption. Understand and align with the customer’s product and business roadmap and uncover opportunities for Stripe to accelerate their progress on that roadmap. 
• Drive thought leadership and be a trusted advisor for key business and technical stakeholders including CIO, CTO, COO, CRO, CDO, Head of Product Engineering and Head of Payments. 
• Work to deeply understand the customer’s business objectives, and then design and apply Stripe’s solutions to their challenges.
• Develop and articulate the end to end customer transformation journey and create future roadmaps and architectures with deep 3rd party integrations in play.
• Conduct business analysis and background research on customers, industries, and competitors with a view to support growth for the user's business. 
• Lead strategy engagements with users to align to business priorities, design solutions and secure the technical win by performing in-depth customer discovery, evangelizing the proposed solutions through executive briefings, readouts, presentations, workshops and solution demos. 
• Expand Stripe’s footprint within existing accounts to new global markets and business units by introducing new capabilities and local payment methods.
• Act as the “Voice of the Customer” to bring insights, trends and opportunities to the leadership, product and engineering teams from the forefront and prioritized for delivery.  
• Participate in sales forecasting, Quarterly Business Reviews and account/territory planning to strategically and tactically align for success.
• Approximately 25% travel is anticipated to help you connect in-person in a meaningful way with users and collaborate internally. 

Who you are

You have achieved an experienced position as an enterprise architect, senior solution architect or principal solution engineer and have a successful track record advising enterprise-grade digital native / SAAS / Platform / Marketplace companies, focused on identifying business priorities, formulating technology strategies and designing an end-to-end business solution. You possess deep technical acumen, high interpersonal and leadership skills, and have demonstrated the ability to become a trusted advisor to senior executives and facilitate customer success along the entire customer journey. Strategic and creative thinker who can proactively identify challenges, take ownership, and maintain a positive approach when facing difficult obstacles.

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 7+ years of experience in a similar customer-facing engineering role such as solution consultant, solutions architect, sales engineer, for a global software enterprise.
• Experience in the payments/ billing / invoicing / issuing / banking / Fintech space.
• Executive engagement skills and presence, with an ability to establish strong relationships with key decision makers and build credibility at all levels.
• Effective group-facilitation skills and confidence in proposing and leading customer meetings to gain strategic footing and pursue opportunities.
• Thorough understanding of the software development lifecycle and API architectures. A background in writing code in any of Stripe’s primary deployment languages (Ruby, Python, JavaScript, Java, Go, etc.) is a plus.
• Outstanding spoken and written communication skills, presentation skills, and confident in explaining complex concepts to both technical and non-technical audiences.
• Ability to operate independently in a highly ambiguous and fast-paced environment.
• Passion to take on ownership and drive change in a constantly evolving environment. 
• Superior verbal and written communication skills in English.
• Ability to travel per business needs.

Preferred qualifications

• Prior experience in consulting.
• Experience at a growth stage internet/software company.

Your Role

We’re hiring a Senior SDET to join one of our cross-functional product teams in our Football & Rugby group. This squad are focused on building cutting-edge solutions sports teams use to influence how they compete and recruit, supporting key products like Statsbomb and Wyscout, plus new greenfield projects as we expand.

As a Senior SDET, you’ll:

• Improve quality. You’ll drive measurable improvements in product quality and delivery speed. You’ll empower teams to solve tough challenges, bringing in proven practices that enhance quality and accelerate development.
• Collaborate. You’ll be an integral part of a cross-functional team, collaborating closely with coworkers across Engineering, Product, Design and Scrum, all to ensure the delivery of high-quality products.
• Strategise. You’ll use your customer and system understanding to create risk-based testing approaches and plans that focus on user experiences. Overall, you’ll ensure our products meet and exceed user expectations.
• Automate. By aligning our processes with development speed, you’ll make informed decisions on what, how and when to automate.
  Coach. You'll use your technical and quality expertise to guide others on the team to raise their bar. As the quality point person, you’ll influence and challenge teams to incorporate quality best practices in everything they do.

For this role, we're currently considering candidates who live within a commuting distance of our office in London. But with our flexible work policy, there aren't any current requirements for the number of days you come to the office.

Must-Haves

• A focus on quality. You understand quality in the big picture and strive to use what you know to improve quality and velocity.
• Technical know-how. You have in-depth experience with testing desktop and web applications, as well as a deep knowledge of automation and its industry-recognised principles. You've implemented the test pyramid and have experience  working with developers and QA to shift testing left.
• A customer focus. You think critically about user experience and ensure our testing approach adapts to match those workflows.

Nice-to-Haves

• Experience with Playwright. As this is one of the key frameworks we use, commercial experience with it is a plus.
• Familiarity with hardware. You’ve had experience working with relevant hardware products, such as wearable devices.

Our Role

• Champion work-life harmony. We’ll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too.
• Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you’ll own your work and have the agency to try new ideas.
• Encourage career growth. We’re lifelong learners who encourage professional development. We’ll give you tons of resources and opportunities to keep growing.
• Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you’re at the office or working remotely, we’ll provide you the tech you need to do your best work.
• Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees—but no matter where you’re located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health.

Compensation

We are looking for a Security Engineer to join the Enterprise Security team within the overall Security organization at Recorded Future. This individual will be primarily responsible for maintaining and uplifting the security stack utilized by the security team, with emphasis on a Splunk environment. The individual should also be comfortable developing creative solutions to engineering-related problems in order to best equip the security team to manage enterprise-wide security of Recorded Future.

What You'll Do:

• Deploy, configure, and maintain the Splunk environment to help the internal security team effectively manage security threats and risks
• Work cross-functionally to support other tech stack owners in the configuration and maintenance of security-centric tools (e.g. ELK, IAM tools, DLP technologies)
• Architect, build, and expand on existing solutions to solve challenging problems
• Develop dashboards, design data models, and deliver analysis of security logs in order to ensure the security of the Recorded Future enterprise

What You'll Bring:

• 3+ years of experience with deployment, configuration and troubleshooting of SIEM appliances, (Splunk)
• Experience operating within a CSIRT or SOC environment
• Experience with Cribl is a Plus
• Hands-on ability to manage distributed Splunk cluster infrastructure and all related components
• Experience administering a Splunk environment consisting of search heads, indexers, deployers, deployment servers, universal forwarders, clustering and Splunk IT Service Intelligence for access, performance, and operational roles.
• Good knowledge of Splunk SPL and visualizations to identify anomalies and trends
• Ability to define and onboard new data sources into SIEMs/Splunk
• Scripting skills with languages such as Perl, Bash, Python to develop custom code when needed
• Ability to diffuse large sets of data and information into actionable recommendations for the security team and leadership
• Strong problem-solving and analytical skills
• Time management and organizational skills
• Willingness to travel 10%

Your Role

We’re hiring Senior Engineers to join one of our cross-functional product teams in our Human Performance group, which is focused on building cutting-edge solutions for athletes and sports teams that directly impact how they train, compete and achieve peak performance.

As a Senior Engineer, you’ll:

• Work with a cross-functional team. You’ll collaborate with Engineering, Quality Assurance, Product, Design and Scrum disciplines to deliver full-stack web features. 
• Develop and deliver. Your team has the autonomy to make a meaningful impact across the entire product area, listen to customers' needs and deliver game-changing features to push the boundaries of what they can achieve. Your team is empowered to take ownership of the user experience to support our coaches and athletes.
• Test new ideas. At Hudl, we iterate rapidly, deploying changes to the product hundreds of times daily across our Engineering team. In addition to working on concrete features, you’ll have the opportunity to propose solutions to more ambiguous technical problems and provide guidance to less experienced engineers.
• Mentor. You’ll share your expertise and educate others on development best practices and trade-offs, setting an example in planning, designing and delivering complex projects. 

This role requires 3 days in the office per week, so we're currently considering candidates who live within a commuting distance of our offices in Barcelona.

Must-Haves

• Experienced. You have either led or played a key role in developing large-scale applications.
• A team player. You understand that problem-solving is a team effort and will help others on our Engineering team learn and develop their skills.
• User-focused. You’re excited to have your work used by real people to solve real problems.
• Willing to learn. You have solid engineering skills but are always willing to dive into specific areas to gain the expertise needed to be successful in your role.

Nice-to-Haves

• Tech stack knowledge. Our core stack is C#/Node, React, TypeScript, MongoDB/SQL/ElasticSearch and AWS, so experience with these is ideal.

Our Role 

• Champion work-life harmony. We’ll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too.
• Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you’ll own your work and have the agency to try new ideas.
• Encourage career growth. We’re lifelong learners who encourage professional development. We’ll give you tons of resources and opportunities to keep growing.
• Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you’re at the office or working remotely, we’ll provide you the tech you need to do your best work.
• Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees—but no matter where you’re located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health.

Compensation

We make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices. 

This role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion. 

Your Role

We’re hiring Senior Engineers to join one of our cross-functional product teams in our Human Performance group, which is focused on building cutting-edge solutions for athletes and sports teams that directly impact how they train, compete and achieve peak performance.

As a Senior Engineer, you’ll:

• Work with a cross-functional team. You’ll collaborate with Engineering, Quality Assurance, Product, Design and Scrum disciplines to deliver full-stack web features. 
• Develop and deliver. Your team has the autonomy to make a meaningful impact across the entire product area, listen to customers' needs and deliver game-changing features to push the boundaries of what they can achieve. Your team is empowered to take ownership of the user experience to support our coaches and athletes.
• Test new ideas. At Hudl, we iterate rapidly, deploying changes to the product hundreds of times daily across our Engineering team. In addition to working on concrete features, you’ll have the opportunity to propose solutions to more ambiguous technical problems and provide guidance to less experienced engineers.
• Mentor. You’ll share your expertise and educate others on development best practices and trade-offs, setting an example in planning, designing and delivering complex projects. 

For this role, we're currently considering candidates who live within a commuting distance of our offices in London. But with our flexible work policy, there aren't any current requirements for the number of days you come to the office.

Must-Haves

• Experienced. You have either led or played a key role in developing large-scale applications.
• A team player. You understand that problem-solving is a team effort and will help others on our Engineering team learn and develop their skills.
• User-focused. You’re excited to have your work used by real people to solve real problems.
• Willing to learn. You have solid engineering skills but are always willing to dive into specific areas to gain the expertise needed to be successful in your role.

Nice-to-Haves

• Tech stack knowledge. Our core stack is C#/Node, React, TypeScript, MongoDB/SQL/ElasticSearch and AWS, so experience with these is ideal.

Our Role 

• Champion work-life harmony. We’ll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too.
• Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you’ll own your work and have the agency to try new ideas.
• Encourage career growth. We’re lifelong learners who encourage professional development. We’ll give you tons of resources and opportunities to keep growing.
• Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you’re at the office or working remotely, we’ll provide you the tech you need to do your best work.
• Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees—but no matter where you’re located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health.

Compensation

We make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices. 

This role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion. 

Your Role

We’re currently seeking a Lead Engineer to join our Human Performance group, which is focused on building cutting-edge solutions for athletes and sports teams that directly impact how they train, compete and achieve peak performance.

As a Lead Software Engineer, you'll be at the forefront of this mission and will be providing technical leadership, driving innovation and delivering impactful solutions that our customers love. You will: 

• Driving technical strategy and innovation. You’ll define and champion medium-to-long term system architecture, setting technical roadmaps and fostering a culture of experimentation and adoption of best practices, as well as directly contributing to the implementation of solutions.
• Owning complex, high-impact HP projects. You’ll work across multiple business units, ensuring high-quality delivery that aligns with business goals.
• Mentorship. By actively levelling up Engineers through guidance and collaboration, you’ll set the bar for engineering excellence.
• Fostering a supportive culture. You’ll create cross-group initiatives, proactively communicate needs, and maintain a positive, inclusive group environment.

For this role, we're currently considering candidates who live in the UK with an expectation to visit the London office when required.

Must-Haves

• A product focus. 
• You’ll define and champion medium-to-long term system architecture, setting technical roadmaps and fostering a culture of experimentation and adoption of best practices, as well as directly contributing to the implementation of solutions.
• Technical expertise. You’ve mastered full-stack engineering, leveraging cloud-based systems and championing practices like TDD and CI/CD to ensure high code quality and efficient delivery.
• Coaching experience. You know building excellent software is a team effort and you’re willing to collaborate with others to get to the best outcome—whether that means providing input in technical discussions, pitching in when a teammate needs a hand, or providing quality feedback in code review.
• Communication skills. You can easily and clearly express yourself verbally and in a written format. You’re able to convey complex technical concepts and trade-offs to cross-functional stakeholders at all levels of the organization.

Nice-to-Haves

• Professional background. A previous role using TypeScript, React, GraphQL, C#, React, MongoDB and/or AWS would be an asset. Adjacent languages, frameworks and services used at scale are also relevant experiences.
• IMU and GPS data processing experience.

Our Role

• Champion work-life harmony. We’ll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too.
• Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you’ll own your work and have the agency to try new ideas.
• Encourage career growth. We’re lifelong learners who encourage professional development. We’ll give you tons of resources and opportunities to keep growing.
• Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you’re at the office or working remotely, we’ll provide you the tech you need to do your best work.
• Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees—but no matter where you’re located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health.

The Role

As a Channel Security Engineer at Tenable, you are the strategic, technical bridge between our Go-To-Market (GTM) teams and our EMEA partner ecosystem. Your primary mission is to continue to transform our Distributors and Value Added Resellers (VARs) into highly capable, independent extensions of our own pre-sales team.
 

You are a dynamic, social individual who enjoys human connection, understanding that channel success is inherently a collective effort and relies on presence as much as knowledge. Rather than operating in isolation, your remit is to orchestrate the full weight of Tenable’s resources, aligning our internal experts with your partners to drive mutual commercial success. You know how to take the broader concepts of Exposure Management, the ever changing landscape of AI, and the wider security landscape, formulating them into actionable, profitable strategies that fit
seamlessly into a partner's existing portfolio.

Key Responsibilities:

• Primary Technical Partner Advocate: You will be the face of Tenable for our UK partner community, the first person they call when they need a technical steer or a strategic sounding board. Your goal is to move beyond mere "support" and instead build genuine, long-term trust with partner engineers. By acting as their dedicated champion, you ensure that recommending Tenable becomes second nature to them, effectively making our platform their default choice in a competitive market.
• Dynamic Field Engagement: You will be out in the field, representing Tenable’s market-leading vision at key partner events across the UK and Europe. Whilst you will not be performing or directly overseeing Proof of Values (PoVs) yourself, you are the critical orchestrator, identifying the requirement, qualifying the opportunity, and aligning the right technical experts from within Tenable to execute the PoV and secure the win.
• Cross-Functional GTM Collaboration: You will actively span internal and external teams, aligning with Tenable’s direct sales, marketing, and channel management. We all share the same objective to win, and you will act as the technical linchpin ensuring our channel strategy moves in lockstep with broader regional GTM goals.
• Translating Tech into Commercial Value: You will take the broad principles of Exposure Management and translate them into a commercial language that partners can readily take to market. You will focus on how the Tenable One Exposure Management Platform integrates into a partner's specific strategy, demonstrating exactly how our solutions enhance their portfolio and drive tangible value for their clients.
• Strategic Partner Enablement: You will execute a programme to elevate our partners’ technical autonomy. You are not operating in a silo, you have the entire force of Tenable behind you. Your role is to leverage our corporate resources, enablement materials, and internal teams to build out a loyal, capable extension of our pre-sales organisation.
• Create and Nurture Guardians: Tenable’s flagship partner SEs are those who are invited to join our Guardian program, giving you access to insider knowledge, beta code and all the things that our internal SEs would get. This is the pinnacle of our partner SE landscape and is critical to how we gain more traction.

What You Bring (The Ideal Candidate):

• The "Human" Element: You are an outgoing, high-energy communicator who genuinely enjoys being in front of partners. Your presence is engaging, and you have the collaborative mindset needed to bridge the gap between internal teams and external partners, ensuring everyone is moving in the same direction.
• Strategic Channel Intuition: You bring 5+ years of experience in Pre-Sales or Partner Engineering, specifically within a two-tier channel model. You understand the "why" behind the business, navigating the distinct operational and commercial dynamics of Distributors and VARs.
• The Role of the Orchestrator: You don’t need to be the deepest architectural expert in every room. Instead, your strength lies in translation and coordination. You can turn complex Exposure Management principles into compelling commercial propositions and, crucially, you know exactly when and how to pull in any of Tenable’s considerable resources to help. You are not a lone-wolf here.
• A Blueprint for Growth: You have a proven track record of transforming transactional relationships into strategic partnerships. You know how to coach and mentor partner engineers, guiding them from being "just a reseller" to becoming a true, seamless extension of the Tenable pre-sales team.

#LI-JG1

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.

About The Role

Have you got a knack for explaining technical concepts? Do you want to work closely with big-name companies to solve some of their toughest problems? We’re looking for a Solutions Engineer who loves teaching people, solving problems, and wants to be a major factor in adding to the list of our biggest customers. You’d be joining a team of talented solutions engineers that love going deep into customer’s problems, finding ways to innovate in the ways customers use data, and making life easier for people. We care deeply about our users and partners, and we judge ourselves on how well we serve them. 

We partner with our Account Executives by removing technical and business-related obstacles in front of a sale, advocating for customer interests to relevant internal teams, and creating compelling technical content.  We get excited talking to data engineers, product managers, marketers, and also know how to distill technical concepts to our buyers. We’re here to make our customers’ lives easier by providing them with the right solutions for their challenges in customer data strategy and architecture.

Solutions Engingeers at Hightouch frequently work with both technical and non-technical stakeholders to understand their problems and craft creative technical solutions with them. We’re open to candidates with a variety of backgrounds.

What We're Looking For

• 4+ years sales experience 
• Strong discovery and interpersonal skills
• Intellectual curiosity, high ambition and humility
• Experience selling Martech and/or Data Solutions
• Experience with the following: Cloud Warehouses, Data Engineering, Data Analytics, and Data Modeling, and API's
• This role requires professional proficiency in French, including both written and verbal communication

Bonus If You Have

• Experience with Customer Data Platforms

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. When evaluating compensation we focus on impact and potential for growth more than years of experience. Additionally, we offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.

What You'll Do

The ideal candidate is hungry to learn, excited to cross-functionally collaborate, driven to deliver optimal customer experiences, and is excited to learn from and teach others. Hightouch is still a startup, which translates to pitching in across the organization and wearing many hats as we grow. You will be excited for an opportunity that allows you to be an important member of an exceptional company, be willing to ask questions when you’re unsure, and take initiative when you’re passionate about a topic/solution/process.

Finally, you’ll need to be a self-starter, comfortable with ambiguity, willing to challenge the status quo, and a strong team player. Everyone at Hightouch plays an important role in our growth and this position is at the forefront of our efforts to drive an exceptional for every user. We’re of the firm belief that keeping customers promises is how we’ll win and we’re excited for this role to play an integral part of the customer journey.

What We're Looking For

• 2+ years in a customer-facing role
• Technical background either through experience or education
• Conversant in SQL or willing to learn the basics and a few more advanced topics
• Strong discovery and interpersonal skills
• Intellectual curiosity, high ambition, and humility
• High proficiency in reading, writing, and speaking English
• Ability to adapt to an ever-changing work environment
• Thorough understanding of the technology industry and its players

The role 

We are looking for a Data Engineer to join Sony Interactive Entertainment, where data plays a key role in how we build, improve and understand PlayStation experiences around the world.

As part of our Data Engineering team, you will help design, build and evolve the data processing platforms that power reporting, analytics and insight across our global business. Your work will support teams in understanding how our products are used and enjoyed, helping us make better decisions in service of our players.

You will be part of a collaborative and welcoming team that values curiosity, learning and shared problem solving. This role offers the opportunity to take ownership of meaningful work, grow your technical skills, and explore new tools and ideas in a supportive environment. Based in our London office, you will join a diverse team where different perspectives are valued and building great things together is part of the culture.

What you’ll be doing

• Designing, building and maintaining reliable data pipelines and processing components used across the business
• Writing clean, maintainable code and improving performance, data quality and cost efficiency over time
• Taking ownership of defined pieces of work, with support from the wider team, from development through to delivery
• Contributing to technical design, estimation and planning discussions to help the team deliver effectively
• Reviewing code and sharing feedback to support guidelines and collective code quality
• Working closely with project managers, analysts and other engineers to deliver work on time and to a high standard
• Operating comfortably in a fast-paced environment, balancing multiple priorities and adapting as requirements evolve
• Learning and applying new tools, technologies and approaches as the platform and team continue to grow
• Collaborating with teammates across different countries and cultures, with flexibility around time zones and ways of working

What we are looking for

Must have

• Experience as a data engineer (or similar), delivering production-ready, scalable code
• Strong SQL skills and experience with relational and analytical databases
• Programming experience in one or more of Python, Java, C or Spark-based technologies (PySpark, Spark)
• Experience contributing to data platforms handling complex, high-volume data (Databricks)
• Experience with data warehouse or analytical platforms (for example Snowflake or Teradata)
• Understanding of performance and cost considerations in data processing systems
• Strong problem-solving skills and ability to handle multiple priorities
• Clear communication skills, including explaining technical concepts to non-technical partners
• Experience working in UNIX or Linux environments, including shell scripting
• Curiosity and eagerness to learn new tools and technologies
• Eligibility to work in the UK, with ability to travel occasionally to the US and Japan

Nice to have

• Familiarity with additional data processing or integration technologies
• Experience with graphical or low-code data development tools (for example Ab Initio)
• Understanding of data modelling concepts
• Experience translating business requirements into technical solutions

Experienced Deep Learning Engineer for Game Technology

We are looking for a machine learning engineer with a solid understanding of low-level systems programming. If you are as comfortable in the memory view of your debugger as you are with training networks to solve problems, we would love to hear from you.

This role could suit an experienced embedded/games industry programmer with a passion for Machine Learning, or an accomplished Machine Learning/Vision programmer with a good understanding of computer architecture and performance.

About the Advanced Technology Group

The Advanced Technology Group (ATG) is a part of Foundational Systems and Experiences Engineering (FSEE) within the Platform Business Group. Established over 20 years ago as part of PlayStation’s first party game development studios, ATG's focus has always been to help game developers to get the most out of PlayStation hardware, and this is still true today. The majority of the group holds responsibility for a large part of the GPU software stack used by all PlayStation games, which allows us to collaborate with engineering teams worldwide, from third party game developers to hardware vendors, to deliver key platform technologies.

You will be part of a small creative team within ATG, tackling problems centred around computer vision and machine learning. Examples of projects include a novel facial performance capture system used to produce assets for AAA games, and building a general purpose solution for on-console inference.

The Role

You will be expected to develop innovative ML solutions for deployment in games and in the development pipeline. This also involves making technology choices, prototype solutions and bringing them to production.

Some of these systems are expected to run on millions of PlayStations in people’s homes, making high run-time performance crucial. You should stay up to date with the competition and the industry’s latest advances and academic developments. The role also involves close collaboration with our other teams in Europe, the U.S and Japan, as well as technical communication of the ideas and solutions developed.

The Essential Requirements

• Experience with modern Deep Learning and Pytorch: You will be expected to make decisions about data and architectures, to implement pipelines for training and validation and to develop and deploy models in production.

• Experience with production-facing software development and strong debugging skills. This also requires demonstrating applied engineering skills through a shipped ML network or personal project.

• Understanding of 3D maths/geometry: Including multiple-view geometry and 3D mesh representations.

Nice-to-have

• Experience with Graphics and/or Game Engines

• Experience with Computer Vision

Benefits

• Discretionary bonus opportunity
• 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

The role

We are looking for a Senior Graphics Engineer with strong experience in real-time computer graphics and game development to design and implement high-quality, game-like rendering scenarios that evaluate, validate, and showcase new graphics features.

In this role, you will drive technical direction through hands-on development, prototyping, and performance analysis, influencing the design and adoption of rendering technologies across teams.

The ideal candidate brings deep expertise in real-time rendering, ideally with PlayStation 5 graphics APIs or comparable low-level console or modern graphics APIs, and a proven ability to deliver robust, scalable solutions while collaborating effectively with globally distributed teams.

The team

Based in London, our team are part of the ‘Foundational Systems and Experiences Engineering’ group. We build the low-level SDKs and fundamental technologies used by our game development partners to create PlayStation Games.

Our team are working on the latest GPU and Machine Learning technologies to deliver the next generation of high-performance computer graphics for PlayStation.

What you’ll be doing

• Lead the design and development of high-quality, game-like rendering scenarios to evaluate, validate, and showcase new graphics features at scale.
• Own and deliver production-grade sample code, libraries, and tools for internal teams and inclusion in the PlayStation SDK, ensuring robustness, scalability, and long-term maintainability.
• Drive cross-team collaboration with platform, tools, developer support and studio teams globally to establish guidelines and enable successful adoption of new rendering technologies.
• Influence graphics feature direction through hands-on prototyping, deep technical investigation, and performance analysis across CPU and GPU.
• Define and uphold engineering standards for developer-facing code, ensuring clarity, usability, and high-quality documentation.
• Mentor other engineers and contribute to the technical growth of the team.

What we’re looking for

• 6–10+ years of professional experience in software engineering, with a strong focus on game development or real-time rendering.
• Expert-level C/C++ with significant experience in game or game engine development (e.g., memory systems, job systems, low-level optimization).
• Deep experience in real-time rendering, ideally with PlayStation 5 graphics APIs or comparable low-level console / modern graphics APIs (e.g., Vulkan, DirectX 12).
• Strong understanding of GPU architecture, rendering pipelines, and performance trade-offs across CPU/GPU boundaries.
• Advanced proficiency in HLSL (Shader Model 6) and modern shader development techniques.
• Proven ability to debug, profile, and optimize complex systems across CPU and GPU.
• Demonstrated ability to design systems and make sound technical trade-offs.
• Strong collaboration and communication skills, with experience working across globally distributed teams.
• Experience with modern development practices (e.g., SCRUM) and collaborative workflows using GitHub.
• Degree in Computer Science, Mathematics, or equivalent experience in a practical setting.

Nice to haves

• Experience architecting or significantly contributing to game engines or rendering frameworks.
• Experience developing and optimising advanced rendering techniques such as global illumination, ray tracing, or hybrid rendering approaches.
• Experience building high-quality developer-facing samples, tools, or user documentation used by external developers.
• Track record of technical leadership, including mentoring engineers or leading projects/features.
• Contributions to open source projects or a strong public technical portfolio (e.g., GitHub).

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’re looking for a Staff Software Engineer to build AI-powered tools and integrations that plug directly into game engines, editors, clients, and backend services. You’ll deliver high-quality C++ integrations across proprietary studio engines, ship robust build/QA automation, and partner with multiple PlayStation Studios teams to make AI an everyday part of development.

What You’ll Be Doing

• Build and maintain engine/editor plugins, runtime SDKs, and services that integrate AI (LLMs and related systems) into game clients, servers, and build tools.
• Ship performant, memory-aware C++ by profiling, optimizing, and debugging across PC/console builds with tight frame budgets.
• Design stable API surfaces for game teams (C++/C API, gRPC/HTTP) with versioning, telemetry, and backward compatibility.
• Stand up CI/CD for game builds and tools (UBT or proprietary build systems; artifact packaging; nightly/regression suites; distributed/accelerated builds).
• Automate QA for tooling and in-engine features using engine test frameworks and headless runs, and wire results into CI and dashboards.
• Implement production LLM integrations (prompting, RAG/tool calls, guardrails/safety, observability, timeouts/retries, and cost controls).
• Collaborate with studio engineering, tech art, design, and QA to land integrations across varied codebases and pipelines.
• Document patterns, provide sample projects, and deliver internal training so solutions scale across PlayStation Studios.
• Influence standards and tech choices for AI in our dev stack, and contribute to shared libraries and best practices.

Qualifications

• You have at least five years of experience building production software in modern C++ (C++17/20) with strong fundamentals in memory management, concurrency, performance, and debugging.
• You have shipped tools or runtime features in AAA engines, including work on plugins/modules, asset and build pipelines, and editor/runtime integration.
• You have delivered features or tooling that integrate with LLMs or other ML services, and you understand prompt design, evaluation, safety, and telemetry for production usage.
• You have implemented engine-level automated testing (functional and integration), including headless execution and CI gating.
• You work fluently with large code/asset repositories and are comfortable with both Perforce and Git.
• You communicate clearly across disciplines and translate diverse studio requirements into pragmatic, maintainable solutions.
• You write thorough documentation and favor well-tested, maintainable code.

Nice to Have

• You have built networking/service integrations for game backends (gRPC/HTTP) and implemented telemetry/observability (logs, metrics, traces).
• You have packaged SDKs/plugins for multiple studios and managed semantic versioning and migration tooling.
• You understand console platform requirements and certification workflows.
• You are familiar with security, privacy, and responsible-AI practices in production systems.

Please note; this position can be completed remotely from The UK

About the Role

The Airship Partnership team drives business relationships with leading technology vendors and agencies to jointly deliver high-impact customer engagement and expand Airship's presence across the MarTech ecosystem.

We are hiring a Technology Partnerships Manager for both our Americas and EMEA regions. You will be responsible for managing a portfolio of strategic ISVs (like Google Cloud, Twilio, Salesforce, and leading CDPs, Personalization, Analytics and other MarTech platforms) and driving revenue and market share by sourcing and influencing sales opportunities within your region.

This is a hands-on, high-impact individual contributor role. You will work in coordination with the VP of Global Partnerships and regional partnership leadership, who provide strategic direction and executive air cover, while you execute day-to-day partner development, activation, and co-sell motions. You will also be a key bridge between our partners and Airship's Sales, Product, and Marketing teams.

What You'll Do

• Build and execute a systematic co-sell motion: define playbooks, identify joint targets with priority tech partners. Foster collaboration with Airship AEs and enable partner sales teams to ensure Airship stays top-of-mind
• Drive Sourced & Influenced Revenue: Generate new pipeline through proactive outreach, joint solution positioning, and partner introductions. Accelerate existing deals by leveraging partner networks, providing critical deal help, intel, new contacts, and highlighting integration value
• Act as GTM connective tissue: Collaborate with Sales, Customer Success, Solutions Engineering, Marketing, and Product to align partner initiatives with Airship's GTM priorities
• Represent Airship: Attend partner events, technology conferences, and ecosystem forums, with a goal to generate and accelerate opportunities
• Track, report, and achieve partner-attributed pipeline and revenue goals, using market and partner intelligence tools (e.g., Crossbeam) to quantify impact and refine priorities
• Operationalize Tech Alliances: Lead the daily relationship, joint business planning, regular syncs, and QBRs with key tech partners (Salesforce, Google, Twilio, Movable Ink, etc.). Serve as the primary bridge between partner and Airship teams within your region
• Enable and Activate Tech Partners and Airship Teams: Train partner teams on Airship's value proposition and use cases. Develop and maintain joint assets (one-pagers, battle cards, integration briefs) to empower partners to independently refer opportunities. Ensure Airship teams are knowledgeable on all tech partners and serve as their primary interface
• Expand the Ecosystem: Identify and onboard new technology partners by assessing joint value proposition, customer overlap, technical fit, and strategic alignment with Airship's roadmap
• Drive Co-Marketing: Help Airship and partner Marketing teams develop joint content, co-branded campaigns, and event activations that amplify partner relationships
• Facilitate Product Collaboration: Work between Airship and partner Product teams to develop or enhance integrations and joint solutions that address customer and market needs. Encourage adoption by collaborating with Customer and Product Marketing teams

What We're Looking For

• 7–10 years of experience in technology partnerships, business development, or channel sales within the SaaS or MarTech industry
• Demonstrated track record of generating partner-sourced pipeline and/or influenced revenue in a quota-bearing or target-driven partnerships role
• Existing network of relationships with technology partners and platform vendors relevant to the MarTech ecosystem (CDPs, Marketing Clouds, cloud platforms, engagement and personalization ISVs)
• Strong commercial acumen and ability to connect partner activities to measurable pipeline and revenue impact
• Able to understand and articulate integration use cases, API-based workflows, and data flows in partner conversations without being an engineer
• Experience working cross-functionally with Sales, Product, and Marketing in a SaaS environment
• Excellent communication and presentation skills, with the ability to influence stakeholders at all levels both internally and with partners
• Experience experimenting with AI tools in your personal or professional life - or an eagerness to learn!

We'd Be Delighted If You Also Have

• Deep understanding of customer engagement, mobile marketing, or digital marketing solutions
• Previous experience at a high-growth SaaS company in the $50M–$300M revenue range
• Familiarity with partner intelligence and CRM tools (e.g., Crossbeam, Salesforce)
• Experience managing partnerships across multiple European markets
• Comfort working across time zones, cultures, and regulatory environments
• Familiarity with EMEA data privacy requirements (e.g., GDPR) as they relate to partner integrations and data-sharing arrangements

Work Location & Travel Requirements

Airship’s ‘Digital First’ approach to work means that for the majority of our roles, work can be performed remotely, either some or most of the time. Airship believes that flexible work contributes to a more productive and more equitable work environment, and that Airshippers are able to collaborate, innovate, and support one another across different locations and timezones.

Some roles may require that employees perform their work from a specific location to support business activities, and/or be within proximity to an Airship office location or customer or partner locations, while other roles can be performed 100% remotely. 

This position is fully remote and may require up to 25% travel based for partner meetings, industry events, and field engagements or as requested by your manager.

Compensation

Base pay is part of the total compensation package and is determined by a variety of factors such as relevant skills, work experience, business priorities, market demands, and location. This role offers stock options, providing a direct opportunity to share in Airship’s success.

Benefits & Perks

• Medical insurance options for you and your dependents
• Flexible time off, paid holidays, paid parental leave, and paid volunteer time off 
• Support for your overall wellbeing with employer-subsidized mental health and employee wellness programs
• A digital-first work environment and a monthly stipend to support remote work
• Mentorship and growth opportunities to build skills and accelerate professional development
• And more!

Candidates outside of the U.S. can view Airship's Privacy Statement here.

**Please Note: To ensure the security of your personal information, Airship will only contact candidates through email addresses ending with “@airship.com”.

Available Locations: London (hybrid), the Netherlands (remote), Paris, or Munich

About the Role

Cloudflare’s Forward Deployed Engineers (FDEs) operate at the intersection of product engineering and customer impact.

As an FDE, you will be embedded within one of Cloudflare’s most strategic global customers, working side-by-side with their engineering teams to build and deploy solutions using Cloudflare’s platform. Unlike traditional Solutions Architects or consultants, you will write production code, shape technical architecture, and directly influence how Cloudflare products are used at massive scale.

You will operate as a technical extension of both organizations - helping the customer ship faster while surfacing real-world product insights back to Cloudflare engineering.

This role is ideal for engineers who want to:

• Stay deeply technical
• Work on real production systems
• Influence product direction
• Build long-term partnerships with world-class engineering teams

Responsibilities

• Deep Technical Embedding: Serve as the dedicated, long-term technical partner within a strategic customer’s engineering organization, operating as a trusted extension of their team.
• Production-Level Engineering: Design, build, and deploy production-ready code and configurations directly into customer infrastructure using the Cloudflare platform.
• Technical Accountability: Own the account's technical success across the entire Cloudflare portfolio. Serve as the primary technical point of contact, with other Cloudflare technical resources taking direction from your technical strategy for the account.
• Operational Integration: Participate in customer engineering rituals, including daily standups, design reviews, and real-time incident response.
• Platform Advocacy & Adoption: Identify opportunities to accelerate the adoption of Cloudflare services, unlocking new capabilities across the customer’s tech stack.
• Platform Breadth & Depth: Deep technical competence in building production applications on a modern stack, combined with the willingness and ability to go deep on all Cloudflare product areas. From Workers to security, networking, and observability.
• Feedback Loop & Product Influence: Surface real-world edge cases and product gaps directly to Cloudflare’s Product and Engineering teams to influence the developer platform roadmap.
• Strategic Relationship Management: Establish and maintain trusted technical relationships with senior leadership (Staff+ engineers, Directors, and VPs).
• On-Site Presence: Maintain a regular on-site presence at customer locations to foster deep collaboration and cultural alignment.

Requirements

• Proven Engineering Pedigree: 5+ years of professional software engineering experience. You are a builder at heart, with a track record of delivering production-grade systems, not just advising on them.
• Production Ownership & Operational Maturity: You have owned mission-critical services with real-world users. You understand the gravity of on-call rotations, the urgency of incident response, and the architectural rigor required to maintain "five nines" uptime.
• Active Practitioner: You are currently in the IDE. You have a "ship-first" mentality and maintain a high velocity, staying current with modern frameworks, languages, and deployment patterns.
• Full-Stack Architectural Depth: Broad technical fluency across the entire stack—from frontend performance and backend logic to database optimization and distributed infrastructure.
• AI-Native Development: You have integrated AI-augmented workflows (e.g., Windsurf, OpenCode) into your daily development cycle to accelerate prototyping and delivery.
• Systems Design & Strategic Thinking: Ability to decompose complex business requirements into scalable, resilient technical architectures. You can visualize the "big picture" without losing sight of the implementation details.
• Cloud Ecosystem Fluency: Deep experience with at least one major cloud provider (AWS, GCP, or Azure), including an understanding of serverless, networking, and security primitives.
• High Agency & Navigating Ambiguity: You are a self-starter who thrives in "zero-to-one" environments. You don't wait for a ticket; you identify the problem and own the solution from end-to-end.
• Executive Presence: Comfortable engaging in high-stakes technical and strategic discussions with VP-level stakeholders, with the ability to translate complex engineering trade-offs into business impact.
• Fluency in Hebrew and English

Nice to Have

• Direct experience building on Cloudflare Workers, or the broader Cloudflare Developer Platform.
• Previous experience at a fast-paced startup or in a customer-facing engineering role where you operated directly within a partner’s codebase.
• A visible public profile, including open-source contributions, technical blogging, or speaking engagements at industry conferences.

Role Overview

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

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

As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners.

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

You will:

• Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies.
• Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment.
• Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability.
• Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks.
• Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again.
• Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials.
• Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases.

Ideally, you have:

• Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector.
• Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI.
• System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core.
• Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools.
• Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them.
• Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy.
• Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it.

Role Overview

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

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

As a Principal AI Ops Architect, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners.

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

You will:

• Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies.
• Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment.
• Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability.
• Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks.
• Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again.
• Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials.
• Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases.

Ideally, you have:

• Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector.
• Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI.
• System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core.
• Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools.
• Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them.
• Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy.
• Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it.

Scale’s mission is to develop reliable AI systems for the world's most important decisions. Our core work consists of:

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

Scale is hiring ML Research Engineers to bridge the gap between frontier research and real-world impact. While we solve critical challenges for global governments, your role will extend beyond implementation. You will lead the charge in research into Agent design, Deep Research and AI Safety/reliability, developing novel methodologies that not only power public sector applications but set new standards across the entire Scale organisation.

Your mission is threefold:

• Frontier Research & Publication: Leading research into LLM/agent capabilities, reasoning, and safety, with the goal of publishing at top-tier venues (NeurIPS, ICML, ICLR).
• Cross-Org Impact: Developing generalised techniques in Agent design, AI Safety and Deep Research agents that scale across our commercial and government platforms.
• Mission-Critical Applications: Engineering high-stakes AI systems that impact millions of citizens globally.

You will:

• Pioneer Novel Architectures: Design and train state-of-the-art models and agents, moving beyond “off-the-shelf” solutions to create custom architectures for complex public sector reasoning tasks.
• Lead AI Safety Initiatives: Research and implement robust safety frameworks, including red teaming, alignment (RLHF/DPO), and bias mitigation strategies essential for sovereign AI.
• Drive Deep Research Capabilities: Develop agents capable of long-horizon reasoning and autonomous information synthesis to solve complex problems for national security and public policy.
• Publish and Contribute: Represent Scale in the broader research community by publishing high-impact papers and contributing to open-source breakthroughs.
• Consult as a Subject Matter Expert: Act as a technical authority for public sector leaders, advising on the theoretical limits and safety requirements of emerging AI.
• Build Evaluation Frontiers: Create new benchmarks and evaluation protocols that define what success looks like for high-stakes, non-commercial AI applications.

Ideally, you’d have:

• Advanced Degree: PhD or Master’s in Computer Science, Mathematics, or a related field with a focus on Deep Learning.
• Research Track Record: A portfolio of first-author publications at major conferences (NeurIPS, ICML, CVPR, EMNLP, etc.).
• Engineering Rigour: Strong proficiency in Python, deep learning frameworks (PyTorch/JAX), with the ability to write production-ready code that scales.
• Safety Expertise: Experience in alignment, robustness, or interpretability research.

Nice to haves:

• Experience with large-scale distributed training on massive clusters.
• Experience in building agentic systems that are reliable.
• Experience in Sovereign AI or working with highly regulated data environments.
• A zero-to-one mindset: Comfortable navigating ambiguity and defining research directions from scratch.

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

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

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

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

You will:

• Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation
• Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes.
• Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments.
• Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases.
• Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture.
• Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team.

Ideally you’d have:

• Masters or Phd in Computer Science or equivalent deep industry experience in architecting complex, distributed systems.
• 10+ years of full-stack expertise across Python, Node.js, and React, with a proven track record of designing high-scale architectures on Kubernetes and global cloud infrastructures (AWS/Azure/GCP).
• Expert ability to design and oversee production-grade ecosystems, ensuring world-class standards for system integrity, security, and long-term scalability.
• Extensive experience deploying and troubleshooting sophisticated end-to-end solutions directly within complex, high-security client environments.
• A self-driven leader capable of resolving extreme ambiguity, mentoring senior staff, and setting the technical vision for the organization.
• A driver of asynchronous workflows and documentation-first cultures to streamline global engineering velocity and reduce friction.
• Proficient in Arabic

Nice to haves:

• Past experience working at a startup as a CTO or founding engineer or in a forward deployed engineer / dedicated customer engineer role
• Experience working cross functionally with operations
• Proven track record of building LLM-driven solutions with the strategic foresight to anticipate landscape shifts and architect future-proof systems.

Scale plays a vital role in the development of AI applications. Our customer base is growing exponentially, and you will be on the front lines, ensuring that the world's most innovative companies become passionate, lifelong Scale customers.

Solutions Engineers partner closely with AEs, Product, and MLEs to lead prospective customers through pre-sales, delivering customized demos and pilots to secure the “technical win”. Solutions Engineers scope customer technical requirements and develop an actionable SOW. They will work closely with the delivery team to help with initial implementation. Solutions Engineers are relentlessly curious about customer needs and pain points. They employ their expert Scale product knowledge and GenAI knowledge to design solutions that best address these needs. Solutions Engineers are strong relationship builders, great project managers, and provide technical expertise.

You will:

• Partner with Scale AEs on the customer journey, delivering tailored demos and prototypes according to the customer's requirements.
• Develop technical domain expertise in Generative AI / large language model applications for Enterprise use cases, including customers in financial services, insurance, SaaS, and similar enterprises.
• Be accountable for securing the “technical win” by unblocking technical challenges
• Interact with customers daily to understand their needs and design solutions to better serve them.
• Design and develop “Scopes of Work” by breaking down customer challenges into a project plan
• Work closely with forward-deployed Software and Machine learning Engineers to develop agents in the initial post-sales stage
• Work with AEs and PMs to identify customer-specific feature requests.
• Drive strategic initiatives to improve the efficiency and effectiveness of the Solution Engineering team.

Ideally, you'd have:

• Strong engineering background with prior experience working with clients in a pre or post-sales capacity to realize business goals.
• Prior experience developing with Python, Java and/or other web development languages.
• Experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end-customer engagement.
• A track record as a self-starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership.
• Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers.
• High level of comfort communicating effectively across internal and external organizations.
• Intellectual curiosity, empathy, and ability to operate with high velocity.

Nice to haves:

• GenAI Experience
• Forward deployed engineering experience
• Machine Learning Experience

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

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

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

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

You will:

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

Ideally you’d have:

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

Nice to haves:

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

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

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

We are hiring Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using the latest developments in the field of AI. You will also get the opportunity to develop and be part of creating custom datasets, evaluations, and fine-tuning these sophisticated models to maximize performance and apply on real world use cases with global reach. 

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

You will:

• Partner with public sector clients to deeply understand their challenges and define AI-driven solutions 
• Build and deploy end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models
• Collaborate with cross-functional teams, including data annotation specialists, to create high-quality training datasets
• Design and maintain robust evaluation frameworks to ensure the reliability and effectiveness of AI models
• Participate in customer engagements, including occasional travel (approximately two weeks per quarter)
• Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing

Ideally you’d have:

• A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
• 7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++.
• 2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelines
• Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)
• Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets
• Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment

Nice to haves:

• Experience working at a startup, particularly as founding engineer
• Experience building and deploying large-scale AI solutions
• Strong written and verbal communication skills to operate in a cross-functional team environment
• Proficiency in Arabic (if focused on language models)

About the Position:

We seek a highly skilled and motivated Sales Engineer to join our growing team. As a Sales Engineer, you will drive our growth by partnering with our sales team and engaging prospective customers. You will be the technical expert responsible for understanding customer needs, demonstrating the value of our platform, and ensuring successful deployments. This role requires a unique blend of deep technical expertise, exceptional communication skills, and a passion for solving complex cybersecurity challenges. The ideal candidate will be a customer-focused, results-oriented individual with a strong understanding of cybersecurity, particularly in application security and identity management.

 How You’ll Make an Impact:

• Provide Technical Expertise:
• Support the sales team with in-depth technical knowledge
• Conduct product demonstrations and training sessions for clients
• Engage with Customers:
• Understand customer needs and develop tailored security solutions
• Build and maintain strong client relationships
• Support Sales Efforts:
• Identify and qualify new sales opportunities
• Prepare compelling technical proposals and presentations
• Expand Product Knowledge:
• Stay updated on the latest security products and industry trends
• Share insights to enhance the team's knowledge and capabilities
• Ensure Seamless Implementation:
• Coordinate with the technical team for smooth solution deployment
  Provide post-sales support and troubleshooting to ensure customer satisfaction.
• Pre-Sales Activities: Lead technical pre-sales activities, including:
• Engaging with customers to understand their technical requirements and challenges.
• Delivering compelling product demonstrations and presentations tailored to customer needs.
• Managing and executing POC engagements.
• Effectively addressing technical objections and concerns.
• Evangelizing our value proposition to key stakeholders.
• Post-Sales Activities:
• Ensure successful customer deployments and provide ongoing technical support.
• Drive customer satisfaction and contribute to high renewal rates.

What makes you a good fit:

• Technical Expertise:
• Identity Management: Traditional IAM concepts (authentication, authorization, access control, User Directories), Identity Governance (Privileged Access Management, User Attestation).
• Cloud Platform Expertise: Deep expertise in at least one central cloud platform (AWS, Azure, GCP) and its security services.
• Cloud Security: Familiarity with cloud security best practices (CSPM, CASB, cloud infrastructure security).
• Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree preferred).
• 6+ years of experience in cybersecurity, with a significant portion in customer-facing roles like Sales Engineering.
• Experience with SaaS solutions.

Why Join Oasis Security:

• Competitive compensation and equity package.
• Comprehensive health, dental, and vision insurance.
• 401K
• Opportunity to work on cutting-edge technology and significantly impact the cybersecurity industry.
• A dynamic and collaborative work environment with a strong focus on learning and growth.

If you are passionate about cybersecurity and want to make a difference in helping organizations protect their digital assets, we encourage you to apply for the Sales Engineer position at Oasis Security. Join us in our mission to empower businesses to thrive in a secure digital world. Apply now!

Why Verifone

For more than 30 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.

What's exciting about the role

We seek a resourceful Sr. Telecom Engineer to support Verifone’s Global Enterprise Telecommunications systems, Five9, and assist with current administration and maintenance of this cloud technology.   

The ideal candidate will have previous experience in supporting a complex global telephony and call center environment with proven ability to ensure high levels of availability. Knowledge and experience with Five 9 CCaaS and MS Teams phones a plus. 

Must have a customer service frame of mind, enjoy working in a fast paced, team-oriented environment, and have good organizational and communication skills.    Self-motivated, flexible, and willing to work under pressure is key to this role. Planned off-hours and weekend support are periodically required.

Specific duties and responsibilities include, but not limited to:

• Responsible for daily operations and performance of the cloud Five9 telephony system.

• Work with a team of engineers building, configuring, implementing, and supporting the move from on-prem to CCaaS and UC telephony solutions across Verifone’s global enterprise. 

• Troubleshooting all aspects of call center and telephony - call routing, recording, delivery issues and carrier ISDN and SIP services.

• Ability to participate in cross-functional teams and ability to work effectively in a geographically dispersed team.

• Prepare and maintain documentation of Global Telephony environment.

• Research, evaluate and integrate new technologies to improve performance, efficiency, and reliability of telephony infrastructure.

• Collaborate with internal customers in order to analyze their business requirements and offer comprehensive solutions utilizing current and potential voice technologies.​

• Assist in management of vendors in order to facilitate the purchase of telecommunications products and service, and technical support services.

• Assist with the support of video conferencing systems.

• Assist with miscellaneous legacy voice systems as needed.

Skills and Experience we desire

• Relevant Bachelor’s degree or equivalent experience.

• 5+ years professional experience in IT Telecom and Contact Centers.

• Experience operating large, high-availability, redundant telecom system.

• Experience and knowledge implementing SIP and SBC technology.

• Strong working knowledge of all Contact Center technologies including Verint QM and WFM solutions.

• Skilled in telecom planning, project planning, system installations.

• Advanced troubleshooting and diagnostic skills.

• Excellent communication and customer service skills with a natural aptitude for dealing with people.

• Excellent time management skills, must be capable of multi-tasking in a high workload environment.

• Experience with migration from on-prem systems to MS Teams UC and Five9 CCaaS a plus.  

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.

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

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

Required Skills and Experience Needed

Programming Languages

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

Backend Frameworks & Libraries

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

Architecture & Design

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

APIs & Data

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

Cloud & Infrastructure

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

Testing & Quality

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

Bonus Skills and Experience

Payments & Security

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

Production Engineering

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

Frontend & Platform Exposure

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

Additional Bonuses

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

Our Commitment

Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT 

• Building global and scalable Data Lakehouse solution used by multiple trading desks at QRT. 

• Contributing into software and infrastructure design and implementation in AWS cloud environment. 

• Developing data pipelines in Python using data libraries and cloud SDKs. 

• Data modelling within scope of Data Lake and OLAP - large volumes and highly concurrent data access. 

• Optimizing performance of the data lake as well as OLAP databases in cross-region environment. 

• Ensuring data completeness and quality across critical pipelines. 

• Build and support tailored data solutions for Quants and Traders. 

Your present skillset 

• 5+ year of experience and proven track record of building data platforms. 

• Python and SQL mastery are essential. C++ is a big plus. 

• Appetite to contribute into cloud infrastructure. 

• Ability to build a structured approach to problem-solving. 

• Independent and autonomous while still a strong team player. 

• Intellectual curiosity to learn rapidly. 
• Finance experience is highly desirable. 

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. 
 
The Network Engineering function is responsible for the design, reliability, and optimisation of QRT’s wide-area network. The team supports large-scale routing infrastructure and collaborates closely with stakeholders across operations, systems engineering, and automation to ensure robust connectivity for global research and trading activities.   

Your Future Role within QRT 
You will: 

• Design, build, and operate scalable, resilient infrastructure configuration and platform services 
• Develop and maintain CI/CD pipelines to enable efficient and reliable software delivery 
• Implement and evolve observability systems using OpenTelemetry (OTel), including distributed tracing, metrics, and logging 
• Troubleshoot complex system issues, perform root cause analysis, and implement long-term fixes 
• Automate infrastructure provisioning and configuration using scripting and infrastructure-as-code approaches 
• Work closely with engineers to improve system design, deployment processes, and runtime performance 
• Operate and optimise containerised environments and orchestration platforms (e.g. Kubernetes) 
• Take ownership of services and features from implementation through production support and continuous improvement 
• Collaborate with stakeholders to understand requirements and deliver effective technical solutions 

Your Present Skillset 

• Strong Linux systems expertise, including debugging and performance tuning 
• Solid networking knowledge (TCP/IP, DNS, firewalls, VRFs, VLANs, BGP) 
• Proficiency in Bash and Python for automation and tooling 
• Experience with Python web frameworks (e.g. Flask, Django REST Framework) 
• Experience building RESTful APIs 
• Hands-on experience with containerisation (Docker) and container orchestration (Kubernetes) 
• Experience with monitoring and logging stacks (Prometheus, Grafana, Loki) 
• Understanding of asynchronous and multi-threaded systems 
• Experience working with CI/CD systems in production environments 
• Familiarity with distributed systems and common reliability patterns 
• Ability to define and measure KPIs, SLAs, and SLOs 
• Strong communication skills and ability to work with both technical and non-technical stakeholders 
• Desirable: 
  • Familiarity with infrastructure-as-code tools (i.e. Terraform)  
  • Experience with cloud platforms (i.e. AWS)  
  • Knowledge of OpenTelemetry (OTel), including instrumentation, tracing, metrics, and observability pipelines  

 
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance. 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.

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

Your Future Role within QRT

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

Your Present Skillset

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

• Preferred

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

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.

Your Future Role within QRT

You will join the global infrastructure team, responsible for QRT’s Linux estate, including trading infrastructure and low-latency platforms. The team works closely with application and support functions to deliver secure, high-performance, and scalable solutions for the business.

• Manage and evolve QRT’s Linux platform to support global trading environments
• Work with application and support teams to maintain a secure and scalable infrastructure
• Lead the design and implementation of automation frameworks, tools, and processes
• Contribute to the development of monitoring and observability capabilities
• Analyse and tune performance across systems, networks, and applications
• Support build/release management processes
• Collaborate within a version-controlled development environment

Your Present Skillset

• Strong expertise in Linux (preferably Red Hat–based distributions)
• Experience building and administering large-scale or latency-sensitive platforms
• Extensive experience with architecture and long-term evolution of automation and configuration management systems (e.g. Ansible, Puppet, Chef)
• Experience with monitoring and observability tools (e.g.  Splunk, Elastic, Prometheus, Grafana)
• Experience with build/release management systems.
• Solid programming skills in Python and Bash (C/C++ is a plus)
• Detailed understanding of server network stack, network protocols (e.g. TCP, UDP, IGMP, LAN and WAN technologies)
• Experience of performance analysis and tuning
• Experience working in a collaborative development environment using source control
• Strong problem solving and analytical skills
• Effective communication and teamwork skills

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. 

Your future role within QRT

QRT is hiring a Senior Product Security Engineer to protect diverse tech systems across cloud, business apps, and core infrastructure. In this role, you’ll drive automated security processes, influence architecture, and lead strategic security projects. Working closely with IT, cloud, and engineering teams, you'll implement security solutions for low-latency systems and multi-cloud platforms, including AWS, Azure, and Alibaba Cloud. You'll also secure hybrid infrastructures across Python, C++, and Kotlin/Java environments, ensuring robust protection that supports QRT’s high-speed, data-driven operations.

• Support the implementation of security controls and processes for product security, focusing on a broad range of systems, including core trading infrastructure, cloud services, and business applications across both Windows and Linux environments.
• Collaborate with engineering and product teams to integrate security into product design and development, applying your experience in securing large-scale software systems in a fast-moving environment.
• Contribute to the development and maintenance of a secure software development lifecycle (SDLC) with a focus on secure coding practices in languages like Python, C++, Rust, Go and Kotlin/Java.
• Conduct threat modeling, vulnerability assessments and security code reviews across different platforms, ensuring security is embedded at every stage of the development lifecycle.
• Provide mentorship, guidance, and training on security best practices and secure development processes to engineering teams working in mixed cloud and operating systems environments.
• Perform vendor security reviews to assess third-party security practices and ensure compliance with QRT’s standards.
• Integration of security scanning tools (SAST, DAST, etc.) into CI/CD pipelines and runtime environments to ensure continuous security monitoring and threat detection across Alibaba Cloud, AWS, Azure, and on-prem systems.
• Proactively identify security risks and develop strategies for risk mitigation in a fast-paced high-stakes environment.

Your present skillset

• At least 7 years of experience in product security or similar roles with significant practical experience in securing software development at scale.
• Proven record of accomplishment in secure coding practices and development experience in development languages such as Python, C++, Rust, Go and Kotlin/Java.
• Strong technical background in software development, system architecture and security tools.
• Strong understanding of security principles, techniques and technologies related to software and product security, cloud platforms and business applications. Knowledge of low-latency financial systems would be an advantage.
• Experience working with and securing both Windows and Linux-based systems.
• Extensive experience with one or more cloud platforms such as AWS, Microsoft Azure and Alibaba Cloud used in a hybrid environment.
• In-depth knowledge of threat modeling, risk assessment and development of mitigation strategies for large-scale, complex systems in a fast-paced environment.
• Experience integrating security scanning tools into CI/CD pipelines and runtime environments.
• Experience conducting vendor security reviews and managing third-party security assessments.
• Excellent leadership, problem-solving, communication and adaptability skills, suited for a senior-level position in a fast-paced 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. 

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.

Your future role at QRT: 

We are looking for an exceptional Software Engineer to be an integral member of the Data and Lifecycle team. We work closely with trading and research functions to provide trade and position lifecycle automations (corporate actions, expiries, coupon payments, etc), maintain reference data, handle internal and external reporting and generate reports for Front office use across different teams.  

This position has a specialized focus as an SME for Derivatives - Reference Data and Lifecycle. This high-visibility position will directly impact trading and business operations by providing expert guidance on equity-related reference data, events and automating complex lifecycle processes.  

Your responsibilities will include: 

• Be involved in the design and implementation of scalable, high-performance solutions for trade and position lifecycle automations for derivative products, ensuring accuracy and operational efficiency.
• Ensure the availability and quality of reference data for different types of derivatives traded by QRT.
  Partner closely with a variety of stakeholders and maintain alignment with business needs.

Your present skillset: 

• 4+ years of work experience in a quantitative trading environment
• Deep understanding of derivatives (especially futures and options) with regards to reference data and the asset’s lifecycle events
• In depth knowledge of how derivatives are treated in different markets / exchanges.
• Advanced programming skills, with a drive for delivering strategic solutions.
• Programming language agnostic. Experience with Python or C# is a plus but should be willing to pick up.
• Familiarity with SQL and relational databases.
• Knowledge of testing as part of continuous delivery and integration pipelines.
• Excellent communication skills, and ability to collaborate effectively in a small, close-knit team.
• Fluency in English, both written and verbal communication skills

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role at QRT: 

We are looking for an exceptional Software Engineer to be an integral member of the Data and Lifecycle team. We work closely with trading and research functions to provide trade and position lifecycle automations (corporate actions, expiries, coupon payments, etc), maintain reference data, handle internal and external reporting and generate reports for Front office use across different teams.  

This position has a specialized focus as an SME for Equities, ETFs Reference Data and Corporate Actions. This high-visibility position will directly impact trading and business operations by providing expert guidance on equity-related reference data, events and automating complex lifecycle processes.  

Your responsibilities will include: 

• Be involved in the design and implementation of scalable, high-performance solutions for trade and position lifecycle automations for corporate actions, ensuring accuracy and operational efficiency. 
• Ensure the availability and quality of reference data for diverse asset types, with a particular emphasis on equities and corporate actions. 
• Partner closely with a variety of stakeholders and maintain alignment with business needs. 
• Validate systems and procedures related to reference data and corporate actions, ensuring robust trade/position checks and alignment with brokers and fund administrators. 

Your present skillset: 

• Deep understanding of equities, ETFs and their derivatives with regards to reference data and corporate actions 
• Advanced Python programming, design, and architecture. 
• Familiarity with SQL and relational databases. 
• Experience with C# is a plus 
• Knowledge of testing as part of continuous delivery and integration pipelines. 
• Excellent communication skills, and ability to collaborate effectively in a small, close-knit team. 
• Fluency in English, both written and verbal communication skills  

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT:

The successful candidate will join the infrastructure team at QRT. Collaborating with Windows, UNIX, Network and database teams the candidate will work on designing solutions to meet shared storage requirements to support QRT’s needs – covering Windows file shares, NFS shares, performant storage attached networks for database clusters etc. The role will include building and maintaining vendor relationships, product selection, design and implementation. The role will also include development of a data backup solution and will involve contributing to QRTs business continuity plans.

As well as design work the role is a technical, hands-on position.

Your present skillset:

• You will have 5+ years of experience in storage systems administration and platform engineering
• You have delivered, tuned and maintained optimised enterprise grade storage solutions
• You will have excellent working knowledge of storage protocols (SMB, NFS, S3)
• You will have good working knowledge of Linux and Windows OS
• You will have a proven track record of developing and implementing data backup strategies
• You work well as part of a team and excel in a collaborative environment
• You have excellent communication and documentation skills

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT's collaborative mindset which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

The Treasury function is the financing backbone of QRT, managing the firm’s funding, collateral, margin, cash balances, and counterparty relationships across geographies and asset classes. The Treasury Analytics team builds the data infrastructure and tooling that gives the desk visibility into financing costs, margin requirements, and cash movements. The systems we build direct inform how the firm deploys its capital.

Join our Treasury Analytics team in London as a Data Engineer, supporting and evolving the data infrastructure that powers Treasury's analytics platform, enabling the desk to analyse and optimise how the firm finances its positions in real time.

Role responsibilities

• Design, build and maintain data pipelines to ingest, transform, and serve Treasury data across multiple sources and analytics systems
• Develop and maintain analytical tools to optimise margin, collateral, cash balances, and financing positions across counterparties
• Build the datasets and APIs that power Treasury's analytics platform, enabling the desk to optimise financing costs, monitor counterparty exposure, and manage liquidity in real time
• Evolve the infrastructure as the desk grows by onboarding new data sources, adapting to new requirements, and improving performance and reliability over time
• Onboard new storage and modelling layers, leveraging the right frameworks for different workloads
• Collaborate with desk leadership, traders, and engineers to implement robust, maintainable solutions

Required experience and skills

• 3–6 years' experience building high-performance intraday data applications, ideally in financial services
• Strong SQL, Python, and data modelling skills
• Understanding of data storage formats and trade-offs
• Experience with query optimisation and performance tuning
• Experience with modern orchestration frameworks (e.g. Airflow), cloud platforms, backend web services and networking protocols
• Knowledge of streaming systems and real-time data applications a plus
• Strong technical communication skills and ability to work effectively with a variety of stakeholders

Location

London

Programme duration: from 5 to 6 months, starting in 2026.   

Who qualifies: Penultimate or final year students completing a Bachelor's, Master's.

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.  

Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.   

We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program. 

Your future role at QRT  

Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact. As part of QRT’s data teams, you will work at the heart of our research and trading operations - designing, building, and managing the data solutions that underpin our strategies. You will collaborate closely with Traders, Researchers, and Engineers to ensure our data infrastructure is robust, scalable, and able to power cutting-edge quantitative research. Your work will involve tackling complex challenges in data acquisition, engineering, and platform design. 

Examples of potential roles and projects include: 

• Quantitative Data Analyst 

Source, design, and onboard new datasets in line with priorities set by trading desks. Support data integration into trading systems, propose data-driven solutions to unlock new research opportunities, and manage the full lifecycle of data sourcing projects, from acquisition and exploration to design. Collaborate with Data Engineers to bring datasets into production at scale. 

• Data Engineer 

Manage extensive datasets across QRT’s research and trading platforms. Design and implement data stores and APIs, monitor the health and performance of data processes, and deliver production-ready datasets. Provide direct support to Researchers and Traders to ensure they can fully leverage the capabilities of our data platform. 

• Data Platform Engineer 

Build and maintain the large-scale data infrastructure that powers our research environment. Focus on the ingestion, processing, and serving of data for both real-time and batch workflows, ensuring the platform operates with low latency and high availability. Continuously monitor and optimize system performance to handle growing volumes of complex datasets efficiently. 

Your present skillset  

• Strong core computer science foundations, including algorithms, data structures, parallel programming, and object-oriented programming (OOP). 

• Genuine interest in software engineering, infrastructure, or data engineering within a low-latency environment, working in Python.

• Interest to build expertise in high-performance, real-time trading systems 

• Excellent communication and analytical skills - you will interact directly with Traders and Researchers  

• Drive for rapid autonomy and the ability to work in a fast-paced, high-performance setting. 

• Rigorous and structured approach to problem-solving. 

Preferred qualifications (a plus): 

• Knowledge of databases such as SQL or NoSQL. 

• Experience in front-end development. 

• Interest in financial markets and/or algorithmic trading. 

Interview Process: 

• Application - Submit your application online. We review applications on a rolling basis, so we recommend applying early to maximize your chances. 

• Technical Assessment - Selected candidates will be invited to complete a coding challenge designed to evaluate core technical and problem-solving skills. 

• Interviews - Shortlisted applicants will proceed to interviews, conducted either on-site or via Microsoft Teams. These will assess both your technical expertise and your alignment with our culture and values. 

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.  

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.

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

Your Future Role within QRT

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

Your Present Skillset

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

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

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.

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 Windows Engineering team, responsible for delivering and supporting workplace technology across global offices. The team works closely with Quantitative Researchers, Traders, and corporate functions to ensure reliable meeting room technology, collaboration tools, and endpoint environments. 

Your Present Skillset 

• Design, deploy, and support enterprise AV solutions including Cisco collaboration devices (e.g. Pro Board, Room Kit, Desk Pro)  

• Integrate AV systems with Microsoft Teams Rooms (MTR) and Microsoft 365 environments  

• Configure and support third-party AV hardware (e.g. Shure, Crestron, Logitech)  

• Support Surface Hub and Windows-based MTR systems, including troubleshooting Microsoft Teams and Windows issues  

• Maintain and standardise AV room configurations across locations  

• Provide escalation support for complex AV, conferencing, and collaboration issues  

• Engineer and support Windows 10/11 endpoints with a focus on performance, security, and stability  

• Administer Microsoft 365, Teams, Intune, and Entra ID for device management and collaboration services  

• Manage device provisioning and lifecycle using Autopilot and modern endpoint management practices  

• Troubleshoot advanced endpoint, authentication, and collaboration connectivity issues  

• Develop automation for endpoint configuration, onboarding, and remediation using PowerShell, Graph API, and Intune  

• Implement monitoring and health checks for AV environments and endpoint devices  

• Standardise deployment templates for meeting rooms and endpoints to ensure consistency  

• Create documentation and runbooks to support operational processes and issue resolution  

• Identify recurring issues and implement improvements through automation and root cause analysis  

• Support hardware lifecycle management from deployment to decommissioning  

• Work with external vendors on AV and endpoint solutions and deployments  

Your Present Skillset 

• Experience supporting and engineering AV solutions, including Cisco collaboration technologies  

• Knowledge of Microsoft Teams Rooms (MTR), Microsoft Teams, and Microsoft 365 administration  

• Experience with Windows 10/11 endpoint management in enterprise environments  

• Proficiency with Microsoft Intune and Entra ID for device and identity management  

• Experience with device provisioning using Autopilot  

• Strong troubleshooting skills across endpoints, collaboration tools, networking, and authentication  

• Experience integrating AV hardware such as audio systems, cameras, and control platforms  

• Familiarity with Surface Hub and Windows-based meeting room systems  

• Experience with scripting or automation tools such as PowerShell and Microsoft Graph API  

• Understanding of monitoring, alerting, and device health reporting  

• Ability to document processes and create operational runbooks  

• Experience managing hardware lifecycle and working with external vendors  

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance. 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. 

Your future role within QRT 

The Risk team build and maintain tools to support risk analysis and reporting for QRT’s trading businesses. This includes close collaboration with Risk Managers, Quantitative Traders, and Quantitative Researchers, across multiple asset classes, to ensure robust and scalable risk infrastructure. This particular opportunity will provide significant contributions for our Fixed Income function. 

• Design, build, and maintain production risk analytics tools and data services 

• Develop and support data pipelines and reporting systems used by trading and risk teams 

• Partner with trading desks, risk, and operations to understand requirements and deliver solutions 

• Investigate and resolve data discrepancies, risk inconsistencies, and production issues 

• Improve system reliability, performance, and scalability 

• Contribute to the evolution of risk and analytics infrastructure 

Your present skillset 

• Fixed Income Knowledge 

• • Solid understanding of Fixed Income products, including bonds, interest rate swaps, bond futures, repos 

• • Experience working with trading desks and/or risk teams 

• • Understanding of Trade lifecycle; Risk measures (e.g. DV01, sensitivities, stress scenarios); PnL and key risk drivers 

• Strong Python development skills 

• Experience building and maintaining production systems 

• Solid understanding of:  

• • Data pipelines and data processing 

• • System design and debugging 

• Experience with SQL and databases 

• Familiarity with APIs and data integrations 

• 5+ years of professional software development experience with strong coding ability (Python preferred) 

• Experience in a systematic investment manager frim, trading firm, bank, or asset manager is preferred 

• Vendor or consultancy experience considered if combined with strong Fixed Income exposure 

• Desirable: 

• • Experience with distributed systems, cloud platforms, or orchestration tools 

• • Experience working in cloud-based environments (AWS preferred) and familiarity with services such as EC2, S3 and Fargate 

• • Exposure to containerisation, orchestration, and monitoring tools (e.g. Kubernetes, Grafana) and modern development environments (e.g. CI/CD, Coder) 

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance. 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.

You will join a Network Engineering team responsible for designing and operating large-scale datacentre and high-performance computing (HPC) network infrastructure. The team works closely with Quantitative Researchers, Traders, and infrastructure teams to ensure reliable, high-performance connectivity across compute and storage platforms.

Your Future Role within QRT
You will:

• Architect, engineer and deliver large-scale datacentre network infrastructure supporting HPC environments
• Design and build network fabrics with a focus on scalability, resilience and performance
• Support connectivity across compute, storage and cloud platforms
• Troubleshoot complex issues across large-scale network environments
• Collaborate with project management and engineering teams across the organisation
• Engage with network vendors and contribute to engineering discussions on products and solutions
• Contribute to a software-driven network engineering approach, including automation and tooling
• Stay informed on industry trends and emerging technologies to evolve network infrastructure

Your present skillset

• Demonstrate expert knowledge of datacentre networking technologies, including EVPN/VXLAN

• Demonstrate expert knowledge of routing protocols and resilient fabric design, with proven experience designing, building and troubleshooting large-scale datacentre network fabrics
• Understand switch ASICs, buffering models, platform capabilities and performance trade-offs
• Have experience with RDMA, RoCE and/or UEC networks
• Understand datacentre physical standards, including fibre, optics, cabling, switch airflow, cooling and power
• Have knowledge of WAN engineering and cloud interconnects supporting hybrid infrastructure and cloud bursting
• Have at least basic practical knowledge of Python or Go/Golang, Ansible, Git and AI-assisted engineering tools such as Claude
• Be comfortable getting hands-on with smaller engineering tasks as well as larger strategic projects
• Be a highly collaborative team player who takes ownership of complex problems and major project deliverables, communicating clearly and working across teams to drive successful outcomes

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT:

The successful candidate will join the global infrastructure team at QRT. You will be responsible for architecting, engineering and subsequent delivery oversight across all aspects of the QRT network estate but with particular focus on our colocation infrastructure. The trading infrastructure is a combination of wide area connectivity and ultra low latency trading infrastructures.

Scope of the team is to deliver network solutions which enable full lifecycle management (architect, design, build, operate, retire) for our network components across core network switching, firewalls, load balancers, instrumentation/telemetry, network CMDB and automation. It is crucial that any candidates must be able to demonstrate delivery of complex networks, at scale, which have been delivered through a software and automation driven mindset.

You will have deep knowledge of high-performance networking including detailed knowledge of the product capabilities and roadmaps from the likes of Cisco, Arista and Fortinet. You will have direct experience of delivering and managing network solutions supporting corporate infrastructure and exchange specific ultra low latency infrastructure with associated automation, telemetry and instrumentation frameworks.

Your present skillset:

• As a network engineer, you will partner closely with the project management teams and work in a highly collaborative manner within the network team and the wider organisation
• You will be member of an existing engineering team where you have direct responsibility and accountability for a complex and high-performance network infrastructures
• You will be able to demonstrate expert knowledge of delivering complex network architectures delivered via software driven and agile methodology
• You will have deep knowledge of delivering networks supporting high-performance and low latency computing architectures
• You will have deep knowledge of the network vendor ecosystem and be able to demonstrate building engineering relationships at senior layers with vendor product and engineering teams
• You will stay informed on industry trends and emerging technologies to ensure the network infrastructure remains cutting-edge
• You will have knowledge of wide area network engineering focused on traffic prioritisation and steering.  It would be good to have experience of Segment Routing.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. 

You will join the Network Engineering function responsible for the design, reliability, and optimisation of QRT’s wide-area network. The team supports large-scale routing infrastructure and collaborates closely with stakeholders across operations, systems engineering, and automation to ensure robust connectivity for global research and trading activities. 

Your Future Role within QRT 

• Operate, troubleshoot, and enhance large-scale WAN environments to ensure availability and performance. 
• Design, implement, and support MPLS-based solutions
• Configure and maintain routing services across multiple BGP address families.
• Design, implement, and troubleshoot multicast services using technologies such as MVPN. 
• Analyse and validate MPLS label operations and end-to-end forwarding behaviour. 
• Support TCP/IP-based services and traffic flows across a multi-site network footprint. 
• Produce and maintain accurate technical documentation, including design artefacts and operational procedures. 
• Collaborate with engineering and operations stakeholders to progress projects and BAU activities. 
• Act as an escalation point for complex network issues requiring deep technical investigation. 

Your Present Skillset 

• Strong operational experience with MPLS environments.
• Deep knowledge of: 
• BGP (including EVPN, VPNv4, IPv4) 
• MPLS forwarding and label distribution 
• Multicast and MVPN 
• Proficiency with at least one major routing platform (e.g., Arista, Cisco). 
• Proven ability to troubleshoot complex MPLS, routing, and forwarding behaviour. 
• Strong understanding of TCP/IP networking, QoS, routing protocols, and traffic engineering concepts. 
• Experience working in environments with strict availability and reliability requirements. 
• Useful additional experience includes: 
• Network automation (e.g., Python) 
• Model-driven networking 
• CI/CD concepts applied to network configuration 
• Telemetry and streaming-based monitoring approaches 

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance. 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT:

• Your role involves providing daily trading insights to multiple activities and asset classes within QRT.
• You will work with analysts, quants and other quantitative developers to build robust reporting and analytical tools, thus providing constant feedback on investment strategy performance to a few hundred researchers.
• Given the dynamic nature of the business, you will continually seek solutions that are both flexible and robust and which integrate seamlessly into the QRT technology landscape.
• Take ownership of production processes to ensure constant alignment with business objectives
• Continually expand and upgrade the software infrastructure to accommodate the changing business needs
• Adopt a systematic approach to all problem solving, allowing the firm to scale out

Your present skillset:

• A minimum of 3 years of experience as a software engineer
• C# and Python Language Experience
• Experience with React / MUI / AG-Grid / ECharts
• Comfortable with SQL
• Ability to multitask and work in a team
• Excellent communication skills and team player

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.

Role: Senior iOS Engineer

Location: Soho Square, London Office / Hybrid  

Reporting to: Engineering Manager 

The Role 

We are on a mission to be ‘the app you can’t move without’. Since launching Rightmove in 2000 with a will to make home- hunting happy, we are now the biggest property app and website in the UK with over 2.5 million iOS users a month.

We are seeking a highly skilled and product-minded Senior iOS Engineer to join our mobile team. In this role, you will be instrumental in delivering high-impact, user-centric mobile applications. You will collaborate closely with cross-functional teams, including product management, design, and analytics, to bring innovative ideas to life. As a Senior Engineer, you'll be expected to mentor others, take ownership of projects, and drive best practices to elevate our product quality and user engagement. Responsibilities will include:

• Product Collaboration: Partner with product managers and designers from the early stages of feature development, contributing your insights to shape our product roadmap with user needs in mind.
• End-to-End Ownership: Lead and take full responsibility for the development lifecycle of new features, from concept through to production, ensuring a seamless user experience.
• Technical Excellence: Architect, design, and implement complex, high-performance mobile applications, utilising modern iOS development frameworks and best practices.
• User-Focused Solutions: Advocate for the user at every stage, ensuring our iOS app provides intuitive, accessible, and delightful experiences.
• Mentorship: Provide guidance, code reviews, and mentorship to junior and mid-level engineers, fostering a collaborative and learning-driven culture.
• Data-Driven Iteration: Collaborate with data teams to leverage analytics and user feedback to continuously improve and refine product features post-launch.
• Quality & Performance: Ensure the codebase remains scalable, maintainable, and efficient through best-in-class engineering practices, including code reviews, CI/CD, and automated testing.

We’re looking for someone who:

• Experience: 5+ years of experience in iOS development, with a focus on building and shipping high-quality consumer applications.
• Product Mindset: Demonstrated ability to understand product goals and translate them into technical solutions that resonate with users.
• Technical Expertise: Advanced proficiency with Swift, SwiftUI, UIKit, and familiarity with MVVM or other architectural patterns in iOS.
• Collaborative Skills: Proven experience working in cross-functional teams with product managers, designers, and QA to drive product outcomes.
• Data-Informed Decision-Making: Familiarity with mobile analytics and a data-driven approach to iterating on user experience.
• Performance Optimisation: Deep understanding of iOS performance optimisation techniques to ensure smooth, responsive, and high-performing applications under a variety of conditions.
• Mentorship and Leadership: Experience in mentoring other engineers, with a collaborative approach that builds team capabilities.

Bonus points for:

• Experience working in Agile or Lean environments.
• Understanding of accessibility standards and best practices for mobile applications.
• Familiarity with mobile release and testing strategies in CI/CD environments.

Our approach to AI: 
At Rightmove, we expect everyone to actively explore and use AI tools to improve their productivity, creativity, and impact. We believe that software and product are ultimately people problems, and everything we build is aimed at improving the lives of others. Our view is that thoughtful use of AI can free up more time for the human parts of our work, understanding real problems, listening carefully, and making sure we are solving the right things in the right way. If you are not curious about how to use AI to work smarter, this is unlikely to be the right environment for you. 

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