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

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

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

As an ideal candidate, you will have:

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

You may also have:

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

What you do at MongoDB:

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

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

What you will learn:

MongoDB Product Suite Mastery:

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

Market-Relevant Technologies:

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

Modern Architecture Design:

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

Sales Techniques and Soft Skills:

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

Industry Insights:

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

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

REQ ID: 426207

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

Technical Account Managers work cross-functionally to support Stripe’s largest and most complex users. Through trusted relationships we offer customized, strategic consultations and proactively identify opportunity areas to help businesses deliver more value to their customers, optimize technical operations on their teams, and accelerate their global growth with Stripe.

What you’ll do

Responsibilities

•  Provide a Gold Standard Experience to your assigned accounts’ key stakeholders
• Work with the wider Operations team to provide current state, resources and knowledge to enable Gold Standard Experience across teams interacting directly with the user via support channels, external documentation, or product/feature feedback or development
• Foster long term user relationships that grow loyalty to Stripe and Stripe products
• Work cross-functionally both internally and within your user’s organizations to provide and implement operational solutions on subjects not limited to fraud/disputes, declines, product adoption and global expansion
• Work closely with Customer Success and other user facing teams as part of a larger effort to support users on Stripe
• Lead user facing meetings both in person and through video chat
• Collaborate on the continued design of this support offering
• Create user-facing content for long term solutions

Who you are

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

• Minimum 3 years experience in enterprise level client-facing work
• Strong product sense and energized by the challenge of solving difficult user related problems
• Strong written and verbal communication skills in English
• Ability to lead complex integration conversations in a highly consultative and proactive manner
• Familiarity with APIs and able to explain API concepts to Stripe’s largest and most technical customers
• Familiarity with SQL and is comfortable building basic queries and modifying more complex ones
• Strong technical troubleshooting skills and is comfortable interfacing with technical teams
• A professional, confident and collaborative personality; an adept client relationship manager, capable of engaging in business-level and technical conversations at multiple levels of the organization

Preferred qualifications

•  Operations savvy mindset, with an ability to identify and eliminate process friction while continuing to build scalable processes
• Experience practicing in small to medium scale project management
• Strong organizational skills and self-starting mindset
• Ideal experience with tools like Postman, xCode, Python, Webhooks, ETL 
• Ideal experience in the payments industry

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.

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.

Our Editorial Team

Stripe’s Editorial team is premised on two notions: that ideas are essential ingredients in fueling economic progress; and that many of the best ideas are under valued. Works in Progress, our magazine of underrated schemes to improve the world, recently branched out into print subscriptions. Stripe Press, our in-house imprint canonizes ideas for Progress—new and old—in beautiful editions. The team recently celebrated one million books sold.

One consequence of building infrastructure at Stripe’s scale is that we see the economy forming in real time. New categories appear before they have names. New business models take shape quietly, then suddenly feel inevitable. Patterns emerge in how people build, sell, hire, and get paid. These signals matter — and sharing them helps policymakers, business leaders, media and the public better understand where the economy is headed.

What you’ll do

We are looking for an entrepreneurial, analytical, curious data writer and editor to join Stripe’s editorial team. In this role, you will partner closely with Stripe’s chief economist to explore datasets that cover millions of companies and trillions of dollars of transactions, and uncover macroeconomic trends, industry shifts, and pockets of innovation. You’ll turn them into enthralling writing for internet audiences including startup founders, other business leaders, policymakers, and media. You’ll distribute your stories across lots of channels, including new ones you’ll run (e.g. Substack), traditional media, social media (you’ll probably tweet a lot yourself), and keynotes delivered by our founders. You'll use LLMs and other AI tools to rapidly prototype analysis, writing, and visuals. 

Responsibilities

• Work with Stripe’s data science team to find and interpret signals in Stripe’s data that illuminate emerging trends, new categories, and structural shifts in the global economy.
• Scour publicly available macroeconomic data to weave into stories about trends we’re seeing on Stripe.
• Own data stories end-to-end — from forming the hypothesis, to exploring and analyzing data, to shaping the narrative, visualization, and final content, all partnering closely with our head of economic research.
• Turn complex datasets into clear, elegant visualizations that make ideas legible and persuasive.
• Publish original data-driven editorial, and help ensure the strongest ideas travel — through social, press, partnerships, and speaking platforms.
• Run Stripe Economics, and launch other new editorial channels (e.g. Substack, Twitter) to disseminate data stories and build online communities around them.
• Work closely with the Economics, Data Science, and Policy teams at Stripe to refine questions, validate findings, and uphold a high bar for rigor.
• Collaborate with external researchers, academics, and journalists to extend the reach and impact of Stripe’s economic insights.

Who You Are

You're highly entrepreneurial, enjoying devising and launching new ideas, and relentlessly improving what we already do. You have a knack for turning raw data into a clear insight, a memorable chart, and a story people want to read. You bring taste, curiosity, and a strong editorial point of view, alongside the technical ability to work with data. You have a journalist's instincts — drawn to early signals, skeptical of easy narratives, and motivated by explaining not just what is happening, but why it matters. You care about craft, write well, and enjoy working across disciplines to turn complex systems into clear, rigorous stories.

Minimum requirements

• Experience working with large datasets and producing accurate, public-facing analysis.
• 5 years of experience publishing original work (e.g. running a Substack/newsletter, or writing within a newsroom or media organization).
• Exceptional writer across short and long formats. 

Preferred qualifications

• Experience with data science tools e.g. R, python, or equivalent.
• A strong and proven editorial point of view.
• Experience in a fast-paced newsroom or editorial environment.
• Deeply engaged with online discourse, with an established presence on social media or track record of building an audience for your writing.
• Experience creating data visualizations for publication.
• A track record of developing new and creative content formats.
• Experience leading projects and partnering closely with cross-functional teams.

We are looking for an Incident Response Analyst to join the Incident Response Team on Recorded Future’s Enterprise Security team, within the overall Security organization at Recorded Future. This individual will support all functions and aspects of Enterprise Security at Recorded Future, including security operations, incident response, risk management, compliance, and training. This role is geared toward a more junior individual with a solid understanding of security fundamentals across a broad spectrum of disciplines.

What You'll Do: 

• Support the security operations, incident response, and risk management team efforts
• Triage and communicate impact and severity of alerts to larger security team
• Work across all parts of the Security team to document and communicate current and future efforts
• Understand and action on events and information contained with system(s) logs
• Organize and action on information contained within security ticketing system
• Coalesce and organize routine reports for communication to large audiences

What You'll Bring:

• 2 years of experience of core knowledge of security fundamentals. Breadth of knowledge should span all disciplines of the security field, to include security operations, incident response, risk management, compliance, and training
• Working knowledge of common EDR, SIEM, and MDM platforms
• Experience with common ticketing systems such as JIRA and knowledge management platforms such as Confluence
• Scripting skills with languages such as Python, Perl, and Bash to develop custom code when needed
• Working knowledge of common SIEM tools, including Splunk
• Working knowledge of common compliance frameworks such as ISO 27001, SOC & CMMC
• Experience operating within a CSIRT or SOC environment is a plus
• Basic understanding of networking and network security fundamentals
• 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 up to 10% of the time

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 looking for a Lead Data Scientist to join our Global Football Metrics data science team, which is focused on delivering innovative machine learning models to keep Hudl at the cutting edge of sports analytics.

As a Lead Data Scientist, your key responsibilities will include:

• Work with a cross-functional team. You’ll collaborate with Engineering, Quality Assurance, Product, Design and Scrum disciplines to deliver cutting-edge tactical and recruitment insights.
• Develop and deliver. You will have access to industry-leading data from a variety of sources, and will lead the research and development roadmap for new Global Football models and metrics.
• 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 metrics, you’ll contribute to the implementation of scalable data pipelines and associated orchestration and monitoring tools.
• 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, and maintaining high standards of statistical rigour.

We’d like to hire someone for this role who lives near our office in London, but we’re also open to remote candidates. Remote candidates would have the ability to work from a co-working space or their home.

Must-Haves

• Technical expertise. You have a strong background in a quantitative discipline, and proven experience implementing statistical and machine learning models for statistical inference in complex systems.
• 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

• Sports industry experience. If you’ve worked with event or tracking data previously, that’s a plus.
• Tech stack knowledge. Our tech stack is Python, PostgreSQL and Redshift. We will consider strong candidates with experience of R or Stan, but prefer those with more full stack skills and capable of writing production code.

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

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.

As a Staff Data Scientist, you will lead innovation in experimentation and causal inference, helping shape the future of decision-making and product innovation at SIE. You will drive innovative research in experimentation methodologies while mentoring other team members. You’ll be responsible for elevating our experimentation strategy, fostering a culture of curiosity and rigor, and helping cross-functional teams deliver player-first experiences through strong evidence-based decisions.

What You’ll Be Doing:

• Drive innovation in experimentation research by shaping measurement frameworks and best practices, and by developing new methodologies that enhance the quality, speed, and scalability of experiments.
• Advance experimentation infrastructure and tooling, incorporating statistical and machine learning methods to refine analytical capabilities.
• Mentor and guide less-senior data scientists, building expertise in experimentation and causal inference while providing technical direction to ensure rigor and impact.
• Partner with product managers and business leaders to identify high-impact experimentation opportunities and align them with PlayStation’s strategic goals.
• Act as a thought leader in experimentation and causal inference, evangelizing best practices and fostering learning across teams.
• Contribute to research and prototyping of novel experimentation techniques that address complex real-world challenges, such as user behavior variability and data limitations.
• Champion a data-driven culture by establishing experimentation standards, ethical practices, and reproducibility
• Represent the team’s insights and innovations across the broader data science and product communities within PlayStation.
• Stay at the forefront of the field by monitoring emerging developments in experimentation, causal inference, and applied machine learning to continuously evolve capabilities.

What We’re Looking For:

• Master’s Degree or equivalent experience in Applied Math, Economics, Statistics, Computer Science, or related field. Ph.D. or equivalent experience preferred.
• Strong familiarity with the gaming industry and contemporary gaming experiences.
• 8+ years of experience in data science, including extensive hands-on work in experimentation, with at least 2+ years in a mentoring or technical leadership capacity.
• Proven track record of leading experimentation innovation and scaling frameworks within a dynamic business environment.
• Proficiency in SQL and statistical programming languages (e.g., R or Python), especially for causal inference, experimental analysis, and scalable modeling.
• Expertise in causal inference techniques and designing both randomized and quasi-experiments.
• Demonstrated ability to collaborate cross-functionally and influence data strategies that inform business and product decisions.
• Excellent communication and storytelling skills, especially in conveying complex concepts to non-technical stakeholders.
• Experience working with modern data engineering and visualization tools (e.g., Airflow, Git, Tableau, MicroStrategy).
• A strong sense of ownership and an inclusive leadership style that encourages collaboration and innovation.

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

Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. 

Analyst, Commercial Insights – Services 

London, UK (Collab)

Role Overview 

PlayStation is looking for an innovative, detail-oriented, highly motivated Analyst to join our PlayStation Services team. Services sits within the Global Sales and Business Operations organization that manages the PlayStation Plus subscription business, a key revenue generator and innovator for Sony Interactive Entertainment. This role sits within the Planning and Insights team responsible for leading analytics operational excellence in commercial performance, planning, and strategy.  

This role is responsible for insightful and actionable analytics support of our subscription services from a commercial planning standpoint. You will play a critical role in creating data reporting tools, developing methodologies for measuring and forecasting impact to subscriptions, and delivering analytical insights on the performance of offers & promotions, pricing and experience optimizations.  The work you do will directly impact decisions made about the offers and experience made available to PlayStation Plus members. Effective verbal and written communication skills are extremely important, as s/he will collaborate with key stakeholders across a global organization.  

What you will be doing 

• Support the Services Insights team with analysis of commercial and engagement trends across the PlayStation Plus user base, using these insights to inform strategic decisions and improve performance measurability 

• Working across our Commercial, Engagement & Experience and CRO teams, you will be responsible for exploring our subscriptions data for novel insights, deconstructing complex datasets to help improve knowledge of our users 

• Creating recursive frameworks for long term monitoring of business initiatives, helping to identify opportunities for growth and reduce reporting cycle time 

• Working with our Engineering and Reporting teams to democratise insights into actionable outputs 

• Support efforts to optimise our business with experimentation and A/B testing 

• Partner closely with stakeholders within GSBO and other supporting teams to understand and deliver business insights using data 

• Collaborate with data teams across SIE to understand and utilise available tools and resources while contributing learnings and business area expertise to the organization  

What we are looking for 

• Bachelors Degree in a quantitative or computational field or equivalent

• 5+ years experience in analytics related roles 

• Proficient at translating ambiguous business requirements into meaningful analytical insights from start to finish  

• Skilled with SQL, Python and spreadsheet applications (Excel, Google sheets). 

• Knowledge of statistical concepts, subscription metrics and A/B testing 

• Keen attention to detail and ability to deliver high quality analytical work 

• Proven experience creating data visualizations and reports to surface actionable insights  

• Excellent communication skills (written and verbal) 

• Ability to work collaboratively with stakeholders across different teams and levels 

• Strong project management, multi-tasking and organizational skills 

• Ability to adapt quickly in a dynamic, changing, fast-paced business environment 

• Ability to work varying hours as well as a flexible approach to working hours to support global business operations 

Preferred Qualifications 

• Strong technical proficiencies with SQL, Python, Airflow 

• Skilled with visualization tools like Domo, Power BI, Tableau 

• Interest in the gaming industry 

• Knowledge of digital gaming landscape, key players, and competitive offerings 

• Prior experience with subscription businesses preferred 

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

As a Data Science Manager, you will lead both people and innovation in experimentation and causal inference, helping shape the future of decision-making and product innovation at SIE. This is a hands-on leadership role blending technical depth with managerial responsibilities. You will drive cutting-edge research in experimentation methodologies while mentoring and guiding a team of data scientists. You’ll be responsible for elevating our experimentation strategy, fostering a culture of curiosity and rigor, and helping cross-functional teams deliver player-first experiences through strong evidence-based decisions.

What You’ll Be Doing:

• Lead a team of data scientists focused on experimentation and causal inference; provide technical direction, career development, and mentorship.
• Drive innovation in experimentation research by developing and overseeing new methodologies and frameworks that improve the quality, speed, and scalability of experiments.
• Guide the advancement of experimentation infrastructure and tooling, incorporating statistical and machine learning methods to refine analysis capabilities.
• Partner with product managers, game studios, and business leaders to identify high-impact experimentation opportunities and ensure alignment with PlayStation’s strategic goals.
• Act as a thought leader in experimentation and causal inference, evangelizing best practices and fostering learning across teams.
• Contribute directly to research and prototyping of novel experimentation techniques that address complex real-world constraints, such as user behavior variability and data limitations.
• Champion the growth of a data-driven culture by advocating for experimentation standards, ethical practices, and reproducibility.
• Represent the team’s insights, innovations, and impact across the broader data science and product communities within PlayStation.
• Stay abreast of emerging developments in experimentation, causal inference, and applied machine learning to continuously evolve our capabilities.

What We’re Looking For:

• Master’s Degree or equivalent experience in Applied Math, Economics, Statistics, Computer Science, or related field. Ph.D. or equivalent experience preferred.
• Strong familiarity with the gaming industry and contemporary gaming experiences.
• 6+ years of experience in data science, including hands-on work in experimentation, with at least 2+ years in a formal people management or technical leadership role.
• Proven track record of leading experimentation innovation and scaling frameworks within a dynamic business environment.
• Proficiency in SQL and statistical programming languages (e.g., R or Python), especially for causal inference, experimental analysis, and scalable modeling.
• Expertise in causal inference techniques and designing both randomized and quasi-experiments.
• Demonstrated ability to collaborate cross-functionally and influence data strategies that inform business and product decisions.
• Excellent communication and storytelling skills, especially in conveying complex concepts to non-technical stakeholders.
• Experience working with modern data engineering and visualization tools (e.g., Airflow, Git, Tableau, MicroStrategy).
• A strong sense of ownership and an inclusive leadership style that encourages collaboration and innovation.

Role Overview:

Our Data Science Analytics and Enablement (DSAE) team inspires PlayStation to make impactful, customer-centric decisions through seamless integration of data.

Currently there are over 100 people in the global DSAE team, including data science, data governance and analytics professionals. We work closely with engineering and product management teams to deliver data products, insight, predictive analytics, and data visualisation.

Data Scientists in the DSAE team apply sophisticated analytical methods and tools to drive value from the data through methods such as customer segmentation, predictive modelling, forecasting and other algorithms. Our work delivers an in-depth understanding of consumer behaviours and supports multi-channel targeting and personalisation.

We’re seeking a motivated and collaborative Data Scientist to join our CLV & Next Best Action / Personalisation team, which builds models that help PlayStation understand and influence the value, growth, and engagement of our global player base.

By connecting player behaviours to long-term outcomes, our work creates the intelligence that underpins Customer Lifetime Value (CLV) modelling and guides PlayStation’s Next Best Action and Personalisation strategies. You’ll help shape how PlayStation invests in, retains, and delights its players - and advance our use of modern machine learning at global scale.

This is an exciting opportunity to develop your skills in modern machine learning while contributing to high-impact projects that directly influence how PlayStation engages and retains its players.

What You’ll Be Doing:

• Build and validate models for use cases such as churn prediction, purchase propensity, CLV modelling, and personalised engagement.
• Work with sequential and behavioural data, applying machine learning approaches (e.g., gradient boosting, embeddings, sequence models) to capture player behaviour and growth.
• Partner with commercial, finance, and lifecycle teams to translate business needs into modelling hypotheses that inform engagement strategies.
• Collaborate with analytics and engineering colleagues to ensure models are efficient, robust, and scalable.
• Communicate findings clearly to both technical and non-technical partners, ensuring insights drive measurable outcomes.
• Grow your expertise in modern ML approaches (transformers, representation learning, sequence-to-sequence modelling) through high-visibility projects.

What we're looking for:

You’re curious, analytical, and eager to grow your skills in a commercial data science environment. You bring strong fundamentals in modelling and data manipulation, and you’re motivated by the challenge of applying these to impactful business problems.

• Strong analytical and critical thinking skills, with a passion for understanding customer behaviour and enabling data-driven growth.
• Practical experience with predictive modelling, such as churn, propensity, segmentation, or value modelling.
• Proficiency in Python and SQL, with fluency in common data science libraries.
• Ability to work with large datasets to uncover actionable insights that influence marketing, engagement, or retention strategies.
• Interest or early experience in deep learning approaches — such as transformers, embeddings, or sequence models — with motivation to learn and apply them.
• A collaborative attitude, with the ability to work in cross-functional teams.
• A strong academic background (typically with a Master’s in a technical or mathematical field) or equivalent professional experience.

Nice to Have:

• Experience with A/B testing or experimentation frameworks.
• Familiarity with workflow orchestration tools (e.g., Airflow), feature stores, or visualisation platforms (e.g., Tableau, Domo).
• Exposure to gaming, e-commerce, or subscription-based business models.
• Proven experience of analysing and modelling with “big data” technologies.
• A personal interest in gaming and entertainment.

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

Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. 

PlayStation Game Analytics

In Game Analytics, we partner with product, design, engineering, and marketing teams to improve player experiences through data. Our focus is on helping teams make better decisions by embedding experimentation, lifecycle thinking, and player/customer insights into how products evolve over time. We work across PlayStation Studios and platform teams to support rapid iteration, personalisation, and long-term engagement in live service environments.

As a Lifecycle Data Analyst, you will work as part of a cross‑disciplinary team focused on improving player/customer journeys through experimentation and lifecycle optimisation. This role is heavily oriented toward experiment design, scalable measurement frameworks, and exploratory analysis that inform personalised lifecycle content and messaging.

As a Data Analyst, you will work closely with cross-functional partners to support analytics initiatives across one or more game titles. You will support a broad range of game analytics projects from early feature evaluation through live performance optimisation. You will contribute to experimentation, feature analysis, performance reporting, and exploratory research that informs product and business decisions.

You will:

• Design and analyse experiments (A/B tests, holdouts, quasi-experiments) to evaluate features, content, and player-facing initiatives.
• Conduct exploratory analysis of player behavior, engagement, and monetisation data to uncover insights and inform recommendations.
• Define and track KPIs related to engagement, retention, progression, and revenue.
• Build repeatable analytical frameworks, dashboards, and data products that enable consistent measurement across teams.
• Translate ambiguous product or business questions into clear analytical approaches and actionable insights.
• Partner with Product Managers, Designers, Engineers, and Publishing teams to align on success metrics and measurement strategies.
• Support both short-term analysis needs (e.g., feature readouts) and longer-term performance tracking.
• Ensure analytical rigor and data quality across all workstreams.

What We Are Looking For

We’re looking for an analyst who thrives in collaborative, fast-moving environments and enjoys solving complex problems with data.

You have:

• Strong experience in experiment design and analysis, including hypothesis definition, metric selection, and interpretation of results.
• Advanced SQL skills and experience working with large-scale behavioural datasets.
• Experience creating scalable analytical frameworks or standardised reporting tools.
• Strong exploratory analysis skills and the ability to generate clear, structured insights.
• Experience translating business questions into analytical plans and recommendations.
• Experience working cross-functionally with Product, Design, Engineering, or Marketing teams.
• Experience with data visualisation tools such as Looker or Tableau and strong written communication skills.

Domain Experience

Experience working on live or rapidly iterated digital products is required (gaming experience is strongly preferred but not mandatory).

Relevant backgrounds include:

• Console or mobile games
• Live service products
• Ecommerce or subscription platforms
• Other digital products where experimentation and engagement measurement are core

Familiarity with player engagement, retention, progression systems, and monetization models is preferred.

Bonus Points If You Have

• Experience supporting live service games or ongoing content releases.
• Experience with Python or statistical tooling for deeper analysis.
• Experience building dashboards or scalable analytics products used by non-technical stakeholders.
• Curiosity-driven mindset and a strong desire to improve how teams learn from data.

Role Description:

We are looking for an independent, dedicated Machine Learning Engineer/Senior ML Engineer to join the Visual Computing Group (VCG) and contribute to redefining the world of game play and live streaming via advanced R&D. VCG’s mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency.

What you’ll be doing:

• Develop and improve core generative models for graphics and video processing for a variety of applications, such as live video streaming, game rendering, etc.
• Research and prototyping of new methods for graphics or video enhancement, and data generation pipelines from generative models
• Collaborate with team members on drafting publications and patent submissions
• Participate and assist the team in core R&D work with other teams within Sony Interactive Entertainment

What we’re looking for:

• PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post
• 3+ years of experience in demonstrable research experience in industry or academia.
• Strong background in: TensorFlow or PyTorch; Python and packages/libraries related to computer vision or graphics; evidenced by the development of advanced applications in image/video/graphics processing or computer vision (minimum of 3 years of experience for ML engineer, minimum 5 years for Senior ML engineer),
• Evidence of leading technical developments by at least 1 research publication in a top-tier conference like CVPR, ECCV, ICCV, SIGGRAPH or similar
• Solid background in one or more of the following:

(i) neural network architectures, evidenced (for example) by knowledge of how to formulate and test advanced loss functions in neural network design;

(ii) design and test of advanced convolutional, recurrent, transformer-based, diffusion-based or other neural network architectures in a task-specific manner;

(iii) some experience in training, validation and evaluation of deep neural network models on large datasets, evidenced by experience in using Python libraries like HDF5 or similar

Desired qualifications:

• Publications, e.g. in top-tier conferences and journals: IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, conferences like IEEE CVPR/ICCV/ECCV, NeurIPS, ICML, ICLR, or similar
• Some theoretical understanding of the graphics pipeline, including coordinate transformations between frames of reference, PBR materials, rasterization, lighting, and ray tracing
• Experience in image processing theory and methods, evidenced by the development of practical designs in this area
• Some experience with 3D engines such as Unreal or Unity; in particular, generation of datasets, extraction of G-buffers, motion vectors, etc.

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

At PlayStation, Data Science plays a critical role in shaping how we invest in, retain, and delight our global player base. The CLV & Personalisation team focuses on understanding player behaviour and driving more effective engagement across the player lifecycle — from acquisition and onboarding through to retention, monetisation, and long-term value. 

As a Senior Data Scientist, you will drive the development of advanced modelling and analytical approaches that influence key commercial and product decisions at scale and are evaluated based on their impact on commercial outcomes. You will work on complex and often ambiguous problems, helping define how we measure player value and how we deliver more personalised player experiences. 

This role combines deep hands-on modelling with ownership of problem definition, approach, and impact. You will work with a high degree of autonomy across ambiguous problem spaces, shaping how data informs strategy and decision-making across the business. 

What You’ll Do 

• Design and deliver advanced machine learning models to drive player value, engagement, and growth across the lifecycle. 

• Own ambiguous problem spaces, defining modelling approaches and breaking down complex business challenges into actionable solutions. 

• Partner with senior stakeholders to shape strategies, and ensure Data Science drives high-impact decisions. 

• Apply advanced machine learning techniques, including deep learning and sequence modelling, where appropriate to capture complex player behaviours and improve model performance. 

• Evaluate and select modelling approaches based on problem context, balancing performance, scalability, and interpretability. 

• Work within cross-functional teams, including engineering, product, and commercial stakeholders, to ensure solutions are scalable, production-ready, and aligned with long-term architecture. 

• Mentor other data scientists and contribute to best practices across the team. 

• Communicate complex modelling approaches, assumptions, and outcomes clearly to senior technical and non-technical audiences. 

What We’re Looking For 

You combine technical depth in machine learning with a proactive, solution-oriented mindset, and the ability to influence strategy and inspire others. You thrive on solving sophisticated problems that deepen PlayStation’s understanding of its players and you use this understanding to inform data-driven decisions and strategies that drive player growth. 

• Proven industry experience delivering impactful, production-ready machine learning solutions in areas such as customer value, retention, or personalisation. 

• Strong expertise in modern machine learning approaches, including applying techniques such as transformers, embeddings, or sequence-based models to real-world behavioural data. 

• Ability to critically assess when advanced approaches are warranted versus simpler solutions. 

• Experience owning projects end-to-end, including problem definition, navigating ambiguity, selecting modelling approaches, and delivering impactful solutions. 

• Ability to work with large, complex datasets and translate them into scalable solutions. 

• Strong stakeholder management and communication skills, with the ability to influence decisions and communicate results persuasively to both technical and non-technical audiences. 

• Proficiency in Python, SQL, and modern ML tooling (such as Tensorflow, PyTorch, MLlib, feature stores); experience with PySpark or equivalent distributed data processing tools. 

• A strong academic background, typically a Master’s or PhD in a technical or quantitative field, specialising in Machine Learning. 

• Experience deploying models into production and maintaining business-critical or consumer facing models. 

Nice to Have 

• Background in gaming, e-commerce, or subscription-based businesses. 

• Industry experience with experimentation frameworks and causal inference. 

• Experience working in agile, fast-paced environments 

Role Description:

We are looking for an independent, dedicated Lead or Senior Lead: Machine Learning to join the Visual Computing Group (VCG). This role contributes to redefining game play and live streaming through advanced R&D. VCG’s mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency. 

Who Are You?

• You have a demonstrated ability in managing high performance research teams in the field of ML or Graphics
• You are a dynamic and visionary leader with a passion for building and leading high-performance teams.
• Your leadership style is grounded in clear communication, inspiration, and empathy.
• You possess the ability to motivate and empower your team, fostering an environment where creativity and collaboration thrive.
• A strong advocate for personal and professional growth, you ensure that every team member feels valued and heard.
• Your approach to leadership is proactive, adaptable, and driven by a deep commitment to the success of both your team and the organization.
• Experience in coaching and mentoring team members, fostering an inclusive and collaborative work environment.
• You have the courage to speak up and take smart risks
• You have strong and well-formed technical ideas that are weakly held; you can discuss, listen and participate in a passionate debate.
• You are experienced in managing team communications in a large organization

What Do You Do?

• As a Manager / Senior Manager within the Visual Computing Group, you will lead a multidisciplinary team of machine learning engineers and researchers focused on neural-assisted game rendering.
• You will be responsible for coordinating the build, prototyping, development and integration of brand new visual computing technologies into our products.
• Your role also involves managing project timelines, ensuring high-quality work, and collaborating with multi-functional teams to drive innovation.
• You will also play a key role in aligning the team’s work with the overall strategic objectives of the company, balancing the demands of ongoing projects with the need for continuous improvement and technical debt management.
• You will meet with collaborators to build partnerships and establish positive and trustworthy relationships.

What Knowledge Do You Have?

Domain Expertise:

• Extensive technical experience and track record of accomplishments within various areas including intelligent systems, visual computing, real-time graphics processing within game engines, or graphics.
• Proven track record in managing and delivering sophisticated projects within these areas.

Technical Skills:

• Proficiency in programming languages and tools relevant to visual computing (e.g., C++, Python, OpenGL, DirectX).
• Familiarity with machine learning frameworks and their application in visual computing
• Knowledge in computer vision and machine learning: advanced neural network architectures applied to image analysis and video processing (diffusion models, transformers, distribution alignment, advanced loss functions for computer vision problems)
• Knowledge in game engine rendering: knowledge of the stages of the game rendering pipeline, examples in UE5 or similar, knowledge of ray tracing or path tracing, advanced machine learning methods for global illumination, path tracing, frame interpolation and super-resolution in game rendering

Educational Background:

• A degree in Computer Science, Engineering, or a related field, or equivalent experience; advanced degrees are a plus.

Industry Knowledge:

• Up-to-date with the latest trends and technologies in one or more of: machine learning, computer vision, game engine rendering.
• Experience in the interactive entertainment industry or a related field is highly desirable.

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

We are looking for a creative, diligent Senior Software Engineering Manager who will be responsible for driving the engineering teams researching and developing the next generation of PlayStation's testing technology. This technology - including automation tools, framework and CI infrastructure - is used to analyze the quality of front end workflows on the PS5.

As a Senior Manager, Software Engineering (Quality Engineering), you will lead and develop a team responsible for ensuring high-quality software delivery across multiple products and platforms. This role shapes quality strategy, drives engineering excellence, and enables efficient, reliable release processes. You will work cross-functionally and lead a distributed team across locations, embedding quality practices throughout the development lifecycle. The position entails collaboration with quality management leadership, different internal departments, as well as open source software communities. Together we will build an environment oriented to trust, open communication, creative thinking and cohesive team effort. You will also work closely with your peers and leadership to establish project prioritisation, team goals and overall quality.

What you'll be doing:

• Lead, mentor, and develop a distributed team of quality engineers across multiple products and platforms.
• Manage and support remote team members, fostering effective collaboration across geographically dispersed teams.
• Define team member development and career path opportunities with team members and mentor them to achieve goals.
• Monitor and review everyone’s performance, deliver regular performance appraisals.
• Manage team capacity planning, hiring, onboarding and ensure effective succession planning for your teams.
• Lead day-to-day activities of engineering team using Agile/Scrum methodology.
• Define and implement quality engineering strategy, vision, and best practices to support reliable and efficient software delivery.
• Partner with product and development teams to define test strategies, acceptance criteria, and release plans.
• Identify, assess, and communicate risks to delivery timelines and product quality.
• Lead all aspects of delivery for general technical architecture and infrastructure to support the continued development of projects, including tools and pipelines.
• Research and craft new tools for overcoming inefficient processes by automating work.
• Advocate for reducing technical debt, improving test coverage, and maintaining engineering standards.
• Lead retrospective analysis of activities and champion continuous process improvement.

What We’re Looking For:

• At least five years in a people management role. Proven success in people management including mentorship. Past experience supervising people managers is strongly preferred.
• Effective leading of multiple Agile teams in quality and testing engineering domains. (Software engineering managers with deep experience and understanding of testing groups and processes should also apply.)
• Outstanding verbal and written communication skills, which encompass presenting to senior leadership, product managers, software engineers, project managers, and customers.
• Significant experience with software engineering practices, software automation and testing systems (for example, Jenkins).
• Proficient in Python programming. Enough C++ experience to provide guidance in larger architectural discussion and occasional code review.
• A solid understanding of the software development lifecycle, and applying proven software methodologies to testing and driving reductions in technical debt.            

Nice-to-haves

• Machine learning background.
• Prior experience with console or PC game development.
• Past experience with cloud computing and containerization.
• Development and debugging tools experience on Windows.

Role Description:

We are looking for an independent, dedicated Senior ML Engineer to join the Visual Computing Group (VCG) and contribute to redefining the world of game play and live streaming via advanced R&D. VCG’s mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency.

What you’ll be doing:

• Develop and improve core generative models for graphics and video processing for a variety of applications, such as live video streaming, game rendering, etc.
• Research and prototyping of new methods for graphics or video enhancement, and data generation pipelines from generative models
• Collaborate with team members on drafting publications and patent submissions
• Participate and assist the team in core R&D work with other teams within Sony Interactive Entertainment

What we’re looking for:

• PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post
• 5+ years of experience in demonstrable research experience in industry or academia.
• Strong background in: TensorFlow or PyTorch; Python and packages/libraries related to computer vision or graphics; evidenced by the development of advanced applications in image/video/graphics processing or computer vision (minimum of 3 years of experience for ML engineer, minimum 5 years for Senior ML engineer),
• Evidence of leading technical developments by at least 1 research publication in a top-tier conference like CVPR, ECCV, ICCV, SIGGRAPH or similar
• Solid background in one or more of the following:

(i) neural network architectures, evidenced (for example) by knowledge of how to formulate and test advanced loss functions in neural network design;

(ii) design and test of advanced convolutional, recurrent, transformer-based, diffusion-based or other neural network architectures in a task-specific manner;

(iii) some experience in training, validation and evaluation of deep neural network models on large datasets, evidenced by experience in using Python libraries like HDF5 or similar

Desired qualifications:

• Publications, e.g. in top-tier conferences and journals: IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, conferences like IEEE CVPR/ICCV/ECCV, NeurIPS, ICML, ICLR, or similar
• Some theoretical understanding of the graphics pipeline, including coordinate transformations between frames of reference, PBR materials, rasterization, lighting, and ray tracing
• Experience in image processing theory and methods, evidenced by the development of practical designs in this area
• Some experience with 3D engines such as Unreal or Unity; in particular, generation of datasets, extraction of G-buffers, motion vectors, etc.

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

Scale is at the forefront of the AI revolution, working with some of the largest companies in the world to unlock the potential of Generative AI for their business.

We develop bespoke solutions that leverage our customer’s proprietary data and expertise to transform their businesses with AI. We work with them to understand the biggest levers for their business and then forward deploy with their teams to build cutting edge solutions. The applications we build are powered by the Scale GenAI Platform, a full stack product to build, test and deploy cutting edge agents. 

Some examples of GenAI applications we build are:

• Content-generation systems that enable sales teams to be more effective and efficient.
• Highly customized wealth management copilots that make advisors more effective by helping them tap into their knowledge bases quickly and accurately.
• Text2SQL business intelligence applications to make analysts more efficient and embed a culture of data-driven decision-making.

We are seeking an experienced product manager to join our team and play a pivotal role in building AI solutions with and for our customers. The ideal candidate will have a strong understanding of software engineering principles and practices and deep experience with ML/AI application development. You will be responsible for owning large AI projects for one or many customers. 

You will:

• Develop enterprise grade solutions that leverage cutting edge AI to drive business value at world class companies across many industries. 
• Work with executives at Scale and our customers to determine and execute the product strategy of the business.
• Own end-to-end product development by understanding customer pain points, defining product requirements, managing development, testing, and launches.
• Lead cross-functional teams including engineering, product design, operations, marketing, go-to-market and finance.
• Develop a point of view and execute on turning the solutions we build into repeatable software that we can commercialize across the industry. 

Ideally you’d have:

• Technical degree in computer science, engineering, or equivalent experience
• 4+ years of experience in building ML-powered products, experience in enterprise-facing products is a plus
• Strong understanding of generative AI technologies and their applications in enterprise settings
• Experience operating in a fast-paced environment with high ambiguity
• Exceptional leadership, presentation and communication skills with the ability to influence cross-functional teams
• Some coding experience (Python)

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)

Director, Forward Deployed Engineering

At Scale AI, we're not just building AI tools—we're pioneering the next era of enterprise AI. The world's largest enterprises are racing to deploy Generative AI into the core of their operations, and Scale is the partner that gets them there. Our Forward Deployed Engineering team sits at the intersection of customer delivery and core platform development, embedding alongside customers to turn research breakthroughs into production systems that drive measurable business outcomes.

We're hiring a Director of Forward Deployed Engineering to oversee delivery for our largest and most strategic accounts. You'll lead a team of elite engineers who embed directly with Fortune 500 customers to ship deeply integrated AI agents—owning everything from agent design and evaluation to the backend services, data systems, and cloud infrastructure that make them production-ready. You'll partner closely with our Forward Deployed and Product teams to make sure we're shipping as efficiently as possible, turning hard-won field lessons into reusable platform capabilities that compound our velocity over time.

This is a high-autonomy, founder-mindset role. You'll own outcomes end-to-end, scale a team that can operate under pressure, and shape how AI adoption actually happens inside the world's biggest enterprises. Your success will be measured by how consistently your team ships, how durably those deployments stick, and how clearly the signal from the field sharpens our product roadmap.

You Will

• Own delivery for our largest accounts. Lead end-to-end execution across our most strategic enterprise customers—scoping engagements, sequencing delivery, removing blockers, and making sharp trade-offs between scope, speed, and quality to drive production adoption.
• Lead and grow the team. Hire, develop, and retain a world-class team of Forward Deployed Engineers. Set the technical bar, establish hiring standards, and build onboarding and career frameworks that let the team scale without losing intensity.
• Provide holistic technical oversight. Maintain a deep working understanding of every layer of what we ship—agents, models, evaluations, backend services, data pipelines, and cloud infrastructure—so you can review architectures, debug production issues, and raise the quality bar across every engagement.
• Partner with Product and core Engineering. Work closely with Forward Deployed, Product, and Platform teams to ensure we ship efficiently. Identify patterns across engagements and codify them into reusable platform capabilities, playbooks, and building blocks that make the next deployment faster than the last.
• Engage directly with customer leadership. Forge trusted relationships with senior stakeholders at Fortune 500 customers. Translate ambiguous business problems into concrete technical roadmaps with measurable outcomes, and represent Scale at the executive level.
• Enforce production excellence. Set and hold the standard for reliability, security, observability, and evaluation across deployed agents—making sure the systems we ship are genuinely enterprise-ready, not just demo-ready.
• Drive the feedback loop into product. Translate field insights into sharp, actionable input for Product and Research, influencing model choices, platform features, and roadmap priorities.
• Operate with founder mindset. Own outcomes without waiting to be asked. Move with urgency in ambiguous environments. Make sound calls under pressure and model the calm, focus, and judgment the team needs when stakes are high.

Ideally You’d Have

• 10+ years of software engineering or technical delivery experience, including 3+ years leading high-performing customer-facing engineering teams (Forward Deployed, Solutions Engineering, Applied AI, or similar).
• A solid engineering background. You've led high-pressure technical projects from prototype to production, and you're still comfortable whiteboarding system architectures, reviewing code, and debugging production issues alongside your team.
• Proven ability to scale a delivery team. You've built hiring bars, onboarding programs, and operating standards for technical organizations, and you've interviewed and hired at volume for senior engineering roles.
• Hands-on fluency with the full AI stack. Deep familiarity with LLMs and agent systems, evaluation frameworks, backend and API design (Python or TypeScript), data systems (PostgreSQL, DynamoDB, MongoDB, or similar), and cloud infrastructure (AWS, Azure, or GCP) including Kubernetes, Docker, and IaC tooling.
• Experience deploying AI into complex enterprise environments, including navigating security reviews, identity/SSO, data residency, legacy integrations, and compliance requirements.
• A track record of turning field work into product leverage. You've codified repeatable patterns from customer engagements into tools, libraries, or platform features that scaled across the next wave of deployments.
• Strong cross-functional leadership. You've aligned Sales, Product, Engineering, Research, and Customer Success around shared goals and delivered outcomes that required all of them to row in the same direction.
• Founder mindset. High autonomy, high motivation, high ownership. Comfortable operating with ambiguity, bias toward action, and the judgment to know when to ship and when to raise the bar.

Exceptional communication. You can translate technical tradeoffs into decisions for executive and non-technical audiences, and model the customer empathy you expect from your team.

Venture Global LNG (“Venture Global”) is a long-term, low-cost provider of American-produced liquefied natural gas. The company’s two Louisiana-based export projects service the global demand for North American natural gas and support the long-term development of clean and reliable North American energy supplies. Using reliable, proven technology in an innovative plant design configuration, Venture Global’s modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost.

Analyst – Performance & Emissions

We are seeking qualified applicants for the position of Analyst - Performance & Emissions to be based in London, UK. 

General Description:

The Analyst - Performance & Emissions will be responsible for monitoring and evaluating vessel performance against TCP warranties, using voyage reports and sensor data. Another key aspect of the role is to capture and analyze data related to VGC’s chartered Fleet’s international emission regulations and enable the day-to-day administration of emission reporting to relevant authorities.

This position will sit within the VGC Shipping Fleet Performance & Emissions Team, reporting directly to the Sr. Manager - Fleet Performance and Emissions, and will play a key role in enhancing value for VGC’s chartered fleet. Strong digital and analytical skills are essential for handling large complex data.

Key Responsibilities:

• Fleet Performance & Emissions Compliance System Development Support:Support the development of systems for monitoring, recording, and evaluating LNG fleet performance and emissions exposure.
• Regulatory Upkeep:Maintain records related to environmental regulations, ensuring data accuracy for submissions to classification societies.
• Performance Monitoring:Assist in monitoring vessel performance and highlighting underperformance against Charterparty warranties.
• Compliance Coordination:Monitor and report on emission compliance requirements, including deadlines and documentary evidence.
• Routing Evaluation:Utilize weather routing and voyage reporting services to assist in evaluating optimized ship routing.
• Analytical Support:Help develop and maintain analytical models to derive various performance and emission KPIs. In addition, there will be analytical needs from Shipping Operations, Chartering
• Platform Collaboration:Collaborate with IT on the development of a live monitoring platform for VGC chartered ships.
• Fleet Management Support:Actively support the management of the LNG carrier fleet through procedure development and software implementation.
• Stakeholder & Claims Support:Foster strong relationships with stakeholders and assist in LNG performance claims management.
• Ad-hoc Tasks:Provide supplementary support and complete tasks as requested by the line manager.

Experience & Skills

Essential

• Experience: Minimum 2+ years in Data Analytics or Data Science.
• Technical Skills: Proficient in Python, Databricks, SQL, Microsoft Power Platform, and Excel.
• Industry Knowledge: Solid understanding of the LNG supply chain, international maritime emission regulations, and LNG Time Charter Parties.
• Education: Bachelor’s degree or professional qualification in a complementary field (Data Science, Computer Science).

Advantageous

• LNG Shipping Operations: Familiarity with cargo scheduling, shipping operations, and LNG marketing.
• Maritime Tech: Experience with vessel design and technologies focused on efficiency and emissions reduction.

Soft Skills

• Data Storytelling: Translates complex findings into clear, actionable insights for any audience.
• Collaborative Partner: Bridges the gap between technical teams and stakeholders through active listening.
• Analytical Rigor: Combines critical thinking with high accuracy to validate results and challenge assumptions.
• Proactive Problem-Solver: Naturally curious; identifies patterns and takes initiative to optimize workflows.
• Project Ownership: Highly organized and accountable; manages multiple priorities in fast-paced environments.
• Adaptability: Thrives in diverse, cross-functional teams and pivots quickly as business needs evolve

Venture Global LNG is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.

#LI-Onsite

Why Verifone

For more than 30 years, Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone is one of the leading electronic payment solutions brands and among the largest providers of electronic payment systems worldwide.

Verifone has a diverse, dynamic, and fast-paced work environment in which employees are focused on results and have opportunities to excel. We take pride in working with leading retailers, merchants, banks, and third-party partners to invent and deliver innovative payment solutions around the world. We strive for excellence in our products and services and are obsessed with customer happiness.

Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next generation of secure payment systems or finding new ways to bring electronic payments to emerging markets, the Verifone team is dedicated to the success of our customers, partners, and investors. It is this passion for innovation that drives every Verifone employee toward personal and professional success.

Verifone is proudly an in-office work culture as we see immense benefits to career development and business results from our colleagues being physically co-located.

What's Exciting About the Role

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

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

This hybrid role is open to hiring candidates located in:

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

Key Responsibilities

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

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

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

Required Qualifications/Skills

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

Preferred Skills (Not Mandatory)

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

Our Commitment

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

SLSQ427R253

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

The impact you will have:

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

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

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

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

What we look for:

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

• Core strength in either data engineering or data science

• Experience demonstrating technical concepts, including presenting and whiteboarding

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

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

• Expertise in at least one of the following:

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

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

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

HFT Quantitative Research and Trading

The Role

We are looking for exceptional HFT Quantitative Researchers and Traders to work at the intersection of research, engineering, low-latency execution, creating alpha and monetising our deep-learning alpha alpha across a broad spectrum of markets, products, and asset classes.

Key Responsibilities

• Monetise core alpha through efficient execution strategies across futures and related products.
• Expand trading universes - identify and onboard new instruments within existing markets and work closely with BD to identify new opportunities and exchanges. 
• Develop and refine execution logic - optimise market access, routing, and order placement to minimise slippage and latency impact.
• Collaborate closely with researchers, developers, and infrastructure engineers to bring models from research to production.
• Design and test short-term signals and execution algorithms to preserve alpha and reduce transaction costs.
• Monitor live strategies, diagnose performance drift, and implement continual improvements.
• Conduct PnL attribution and microstructure analysis to measure and enhance monetisation efficiency.
• Stay ahead of exchange microstructure changes and proactively adapt strategies to evolving market dynamics and market impact dynamics.

Ideal Candidate Profile

• 5+ years of experience in HFT or ultra-low-latency trading, ideally within futures markets (options experience is a strong plus).
• Proven track record in execution alpha monetisation - not just signal generation - you’ve taken models from idea to production.
• Deep understanding of L3 data, market microstructure, order book dynamics, and short-horizon predictive models.
• Hands-on experience in strategy deployment and productionisation, including calibration, risk controls, and post-trade analytics.
• Strong quantitative and programming skills - Python and C++ preferred; familiarity with distributed and low-latency systems advantageous.
• Knowledge of cross-exchange arbitrage, market making, or execution cost optimisation a plus.
• Highly analytical, commercial mindset with the ability to operate autonomously in a fast-paced, research-driven environment

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.

We work closely with traders and risk managers to provide real time and end of day Pricing and Risk information for all trading activity within QRT. This position has high visibility across the business and exposure to all parts of the trading lifecycle. This position requires a commitment to effective problem solving, strong technical skills, good attention to detail and excellent communication skills.

Your future role within QRT

• Key member of the core technology team building and enhancing high throughput Linux based services
• Integrating and maintaining pricing models for trading and risk calculation within the core technology platform
• Potential to work with other services in the platform like order, trade, position managers, product reference and market data systems
• Working closely with pricing quants, quantitative developers, traders and operations staff to design and develop cutting-edge systems to keep QRT at the forefront of its field
• Working in primarily in C++ and python
• Direct interaction with risk managers and trading desks

Your present skillset

• 4+ years of experience of a front or middle office role
• Expert in low latency, high throughput Linux development using advanced C/C++, STL
• Key experience in designing and implementing multithreaded and distributed systems
• Experience working with pricing models is highly desirable
• Good knowledge of Equities, Futures, Options, Swaps asset classes highly desirable
• Good knowledge of execution lifecycles and instrument lifecycles (such as corporate actions, settlement, bond coupons, swap resets) is highly desirable
• Advanced knowledge of distributed network architecture
• Proficient with Linux / GCC development toolchain and Linux Red Hat OS is essential
• Experience with QT/WX/MFC GUI Frameworks nice to have.
• Team player with good 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 

• 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.

You will join the Core Trading Platform team, which is responsible for the design and operation of QRT’s global electronic trading infrastructure. This team builds and maintains the ultra-low latency systems that underpin real-time trading, managing performance-critical workflows across global markets. You will work closely with developers, traders, and operations to optimise system behaviour, reduce latency, and ensure platform reliability at scale.

Your future role within QRT

• Design and implement low-latency trading systems on Linux, focused on throughput, reliability, and determinism
• Engineer scalable, high-performance distributed systems that support global real-time trading workflows
• Analyse system behaviour using low-level tools such as packet captures, core dumps, and runtime profilers
• Apply deep expertise in TCP, UDP, and multicast to understanding trade-offs in short-haul vs long-haul networks
• Continuously profile, benchmark, and optimise code to reduce latency and increase throughput
• Engage across the full software lifecycle: from architecture to debugging in live trading environments

Your present skillset

• 5+ years of professional C++/C development experience on Linux, including modern C++ and multithreading
• Strong expertise in TCP, UDP, multicast, and performance trade-offs in low-latency networks
• Experience building and operating high-throughput distributed systems in production
• Familiarity with scalable I/O models (e.g., epoll, io_uring), lock-free structures, and concurrent programming
• Deep attention to detail with a rigorous approach to performance troubleshooting and optimisation
• Proficiency in system-level tools (e.g., gdb, perf, tcpdump, valgrind, wireshark)
• Comfortable working autonomously and taking ownership from problem to solution
• Scripting experience (e.g., Python, Bash) and exposure to CI/CD or observability tooling is a plus
• Prior exposure to electronic trading or exchange-facing systems is advantageous

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:

• Partner with researchers and quant developers to deliver insights from tick-by-tick data
• Serve high-quality data to the backtesting engine
• Develop Tick Data pipelines in Python to enable fast and seamless access across all asset classes
• Design, implement, and monitor data quality checks across all pipelines

Your present skillset:

• Strong knowledge of different financial asset classes
• Deep understanding of Level 2 and Level 3 tick-by-tick data
• Solid knowledge of the market structure ecosystem (e.g., NBBO rules, secondary markets, dark pools)
• Familiarity with exchange protocols and their specificities is a strong plus
• Strong Python skills with experience in data libraries required; C++ is a strong plus

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

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

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

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

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

Your Present Skillset

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

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

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped 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.

The Compliance Technology team are responsible for designing and implementing scalable solutions that enable QRT to meet its regulatory obligations and maintain robust control frameworks. This role collaborates with compliance, technology, and business stakeholders to deliver scalable and effective solutions that support regulatory requirements, operational controls, and business goals. The successful candidate will combine strong technical business analysis skills with process design expertise. Responsibilities include gathering and analysing requirements, working closely with developers to translate business needs into technical solutions, and ensuring delivery of these solutions into production. The role also includes aspects of Scrum Master responsibilities, ensuring agile practices are followed and delivery is well-coordinated.

Your Future Role within QRT

• Work with Trade Surveillance and Electronic Communications Surveillance teams to gather and document business and regulatory requirements.
• Translate surveillance requirements into clear functional specifications, including alert logic, data inputs, workflows, and control expectations.
• Support the analysis and improvement of surveillance processes, helping identify control gaps and efficiency opportunities.
• Partner with engineering teams to ensure requirements are correctly implemented and tested.
• Use structured query language and Python to analyse and validate trade, order, and communications data.
• Support alert tuning, investigations, and root cause analysis of data or control issues.
• Provide day-to-day support to surveillance teams on data queries and system behaviour.
• Contribute to agile delivery activities, including backlog refinement and sprint planning.

Your Present Skillset

• Experience in technical business analysis within financial services.
• Exposure to trading, market surveillance, or compliance environments.
• Good structured query language skills and working knowledge of Python.
• Understanding of market abuse regulations such as the Market Abuse Regulation and the Markets in Financial Instruments Directive.
• Understanding of Financial Information exchange messaging and how electronic orders and executions flow between trading systems.
• Familiarity with order management systems and execution management systems, and how order and trade data feeds downstream surveillance and compliance controls.
• Strong analytical and problem-solving skills with attention to detail.
• Ability to manage multiple tasks 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.

We are seeking a Site Reliability Engineer (SRE) to join our ETF Market Making desk. You will own the reliability and operational automation of a trading platform - ensuring it remains fast, stable, and scalable as we expand to new venues and products.

This is a desk-embedded role, not a central platform team. Your work has a direct, measurable impact on trading P&L. You will sit alongside traders, researchers, and developers, with full visibility into how your systems affect the business.

Your Future Role within QRT

• Build and own observability, deployment, and incident response for the ETF trading platform
• Design and implement development tooling and platform infrastructure to improve reliability and developer productivity
• Manage system deployments, upgrades, and migrations
• Automate exchange go-live operations, data pipelines, and desk workflows - leveraging AI tooling
• Coordinate across exchange connectivity, quant platform, and risk teams as new venues are onboarded

Your Present Skill Set

• 5+ years in production SRE or platform engineering in a latency-sensitive or financial environment
• Deep expertise in Linux systems, cloud, and infrastructure-as-code
• Experience with monitoring stacks and CI/CD pipelines
• Proficiency with AI and agentic coding tools to accelerate workflows
• Strong Python and Bash scripting for automation and tooling
• Excellent cross-team communication skills
• Proven ability to work in a fast-paced, dynamic environment
• Problem-solving mindset with a focus on automation
• Prior experience in the finance industry is preferred but not required

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 to 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 successful candidate will join a growing Regulatory Reporting function at QRT, which sits within our Compliance team. You will work alongside the business, compliance, and IT teams. The Regulatory Technology Developer will assist the team in maintaining the integrity of the regulatory reporting processes for the firm and ensure that complete and accurate data is delivered to regulators within the prescribed timeframes.

Responsibilities:

• Your core objective is to manage and develop regulatory reporting systems and controls
• Develop and integrate automation solutions using Robotic Process Automation (RPA) tools
• Continuously assess regulatory reporting risks and developments to ensure changes are made in line with regulations
• Collaborate with cross-functional teams to ensure compliance with regulatory requirements and enhance the technological capabilities of the compliance function
• Ensure the continuous operation and optimization of existing regulatory reporting systems
• Develop and maintain data validation and quality assurance processes
• Identify areas for process improvements and implement solutions to enhance efficiency and accuracy
• Serve as a point of contact for technical support related to regulatory technology
• Engage with stakeholders to address queries and ensure compliance

Your present skillset:

• Polyglot developer with at least 8 years of experience, knowledge of Python is essential
• Understanding of SQL and working with databases
• Experienced in designing frameworks and tools from scratch
• Knowledge of the financial derivative products
• Experience with Robotic Process Automation (RPA) tools
• Strong analytical mindset with excellent problem-solving skills, able to tackle complex technical challenges
• Understanding of modern software architecture and cloud platforms
• Intellectual curiosity to learn new technologies
• Ability to think outside the box and improve technical implementation

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.

Join our Data team, responsible for providing high-quality reference data, internal and external reporting, and front-office analytics to support trading and research workflows. The team works closely with engineering, compliance, and quant stakeholders to ensure data flows are accurate, robust, and aligned with business needs.

Your future role within QRT

You will join QRT’s Data team as a Software Engineer, working at the intersection of engineering, trading, and research. Your focus will be on delivering scalable systems for reference data management, regulatory and external reporting, and front-office analytics. This role offers direct visibility across the business and the opportunity to collaborate with stakeholders across Execution, Engineering, and Research teams. Every project you work on will contribute to operational efficiency and trading decision-making.

• Design and develop scalable services to process and distribute reference data across asset types
• Automate life cycle events such as corporate actions and coupon payments across instruments
• Build and maintain systems for internal and external reporting (including end-of-day reporting, compliance, and regulatory)
• Develop real-time and batch reporting infrastructure for front-office consumption
• Collaborate with research and execution teams to align data pipelines with trading workflows
• Implement automated testing and maintain CI/CD pipelines for delivery assurance
• Contribute to systems integration between Python- and C#-based components

Your present skillset

• Expert-level Python development experience, with solid understanding of system design and architecture
• Proven experience working with C# in a production environment
• Familiarity with relational databases and SQL
• Understanding of testing strategies as part of CI/CD workflows
• Excellent communication skills and the ability to work collaboratively across teams

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.