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

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

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

As an ideal candidate, you will have:

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

You may also have:

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

What you do at MongoDB:

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

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

What you will learn:

MongoDB Product Suite Mastery:

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

Market-Relevant Technologies:

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

Modern Architecture Design:

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

Sales Techniques and Soft Skills:

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

Industry Insights:

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

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

REQ ID: 426207

Why Verifone

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

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

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

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

What’s Exciting About the Role

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

Key Responsibilities

Kafka Operations & Reliability

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

Scripting, Automation & DevOps

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

Data Pipeline Development

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

Cloud & Infrastructure

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

Required Qualifications / Skills

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

Preferred Skills (Highly Desired)

Data Engineering & Pipelines

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

Database & Caching Technologies

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

Infrastructure & Security

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

What We Offer

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

Our Commitment

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

We are seeking a candidate to join our game integration platform to bring gameplay and platform experiences closer together! As a team member for the Partners Platform, you will have the opportunity to work at the intersection of Business and Engineering on the PlayStation SDK Windows Delivery tooling.

You'll be responsible for helping to develop SDK Manager Windows Application, co-ordinating with business and engineering to help improve the relationship between SIE and our Game development and publishing Partners..

Role overview:

We are seeking a skilled C# Software Engineer to design and develop Windows-based applications that support the delivery and integration of SDK components for Sony PlayStation platforms. This role requires strong experience in C#, along with solid knowledge of C and C++ for low-level integration and performance-critical components.

What you'll be doing:

• Design, develop, and maintain Windows desktop applications using C# and the .NET framework
• Build tools and interfaces to support integration and delivery of PlayStation SDK components
• Work with native code (C/C++) to interface with low-level systems and SDK libraries
• Collaborate with cross-functional teams including platform engineers and SDK developers
• Debug, optimize, and improve performance across managed and unmanaged code
• Create and maintain technical documentation for internal tools and SDK workflows
• Ensure code quality through testing, code reviews, and best engineering practices
• Support build systems, packaging, and deployment of SDK-related deliverables

What we're looking for:

• Strong proficiency in C# and the .NET ecosystem (e.g., WinForms, WPF, or similar)
• Solid experience with C and C++ (memory management, pointers, native integration)
• Experience developing Windows desktop applications
• Familiarity with interop techniques (P/Invoke, C++/CLI, or similar)
• Understanding of software architecture and design patterns
• Experience with debugging tools for both managed and native code
• Knowledge of version control systems (e.g., Git)
• Strong problem-solving skills and attention to detail

Desirable Skills:

• Experience working with SDKs or developer toolchains
• Familiarity with console development environments, especially Sony PlayStation platforms
• Knowledge of build systems (e.g., CMake, MSBuild)
• Experience with performance profiling and optimization
• Understanding of security and compliance requirements in SDK distribution
• Process Optimization: Continuously refine and improve program management processes to enhance efficiency and team productivity.

Preferred Qualifications:

• Experience in Game Industry
• Familiarity with game development, cloud platforms, DevOps, and CI/CD pipelines is a plus

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 Scale AI, we are not just building AI tools. We are pioneering the next era of enterprise AI. As businesses rush to harness the potential of Generative AI, Scale is leading the way, transforming workflows, automating complex processes, and driving real-world impact for the world’s largest enterprises and government organizations.

Our Scale Generative AI Platform (SGP) powers production-grade GenAI applications with foundational services, APIs, and infrastructure that accelerate adoption across industries. As more of these applications go into production, we are expanding our Forward Deployed Engineering (FDE) team to drive hands-on innovation where it matters most: in our customers' environments.

We are looking for a technical and strategic Engineering Manager to lead our European FDE team. This is a high-ownership role at a pivotal moment. You will be responsible for delivering high-impact GenAI solutions in production, leading a team that works directly with customers, and ensuring we solve real problems with clarity, speed, and excellence.

Why this role is unique:

• Right place, right time: We are moving from prototypes to production at scale. Our FDE team is on the front lines of this transition, helping customers adopt AI faster and with more confidence.
• Customer-first mindset: You will foster a culture of deep customer empathy and practical problem-solving. From scoping use cases to shipping solutions, your team will be responsible for every step of the delivery lifecycle.
• Strategic influence: The lessons from forward-deployed efforts directly inform our core product roadmap. You will work closely with Product and Platform teams to identify patterns, prioritize improvements, and shape the evolution of SGP.
• Operational excellence: You will bring structure to delivery, improve execution, and scale our engineering operations in a fast-moving environment.

This is a rare opportunity to help define how the next generation of AI applications is built and deployed. If you are excited by the pace of innovation in GenAI, passionate about solving real-world problems, and ready to lead a team that is redefining enterprise AI delivery, we want to hear from you.

At Scale, we do not just follow AI breakthroughs. We deliver them. Join us and be part of the team shaping the future of AI in the enterprise.

You Will:

• Lead, mentor, and grow a high-performing team of forward deployed engineers supporting enterprise GenAI initiatives
• Set clear technical direction and foster a culture of ownership, speed, and trust
• Work hands-on with customers to deeply understand and solve complex business and technical challenges
• Scope, deliver, and guide the adoption of solutions by embedding directly with customer teams
• Make smart tradeoffs between speed, scope, reusability, and bespoke solutions
• Drive technical decisions and help the team navigate system integrations and architecture choices
• Shape the product roadmap by translating customer needs into scalable platform improvements
• Build internal tooling and shared capabilities to accelerate delivery across diverse use cases
• Collaborate across engineering, product, and customer teams to streamline execution and reduce friction
• Ensure fast, high-quality delivery of features, experiments, and customer launches
• Provide strategic clarity to your team and attract, hire, and retain world-class engineering talent

Ideally, You Have:

• 3–5+ years of engineering management experience, ideally in high-growth tech environments with direct customer engagement
• A strong engineering background and a track record of leading technical teams to deliver impactful products
• Hands-on experience building or deploying AI-powered systems, with an understanding of how model behavior shapes user experience
• A deep interest in Generative AI and a belief in its potential to transform enterprise workflows
• Proven ability to make fast, sound decisions in high-pressure or ambiguous situations
• The leadership presence to earn trust and respect from engineers, peers, and senior stakeholders
• Strategic thinking with a clear ability to turn business goals into actionable engineering plans
• Operational rigor in planning, prioritizing, and delivering complex software systems at scale
• Experience with cloud infrastructure (AWS, GCP, or Azure), DevOps, and scalable platform architecture
• Strong communication and collaboration skills, with the ability to align cross-functional teams toward common goals

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:

As a Lead Full Stack Web Developer, you will:

• Lead a small team of 3 developers based in EMEA and APAC.
• Collaborate with global teams to design, build and maintain internal web-based platforms and developer tools.
• Work closely with backend, DevOps and infrastructure engineers to deliver robust and scalable solutions across our hybrid cloud and on-prem environments.
• Act as a bridge between user experience and technical execution, ensuring high usability, performance and reliability.
• Be involved in every stage of the software lifecycle: from ideation and design to deployment and continuous improvement.
• Help define best practices in frontend/backend architecture.

Your present skill set:

• Strong experience with Vue.js for frontend development (React is a plus but Vue is preferred).
• Proficiency in Python and FastAPI for backend services.
• Solid knowledge of TypeScript and frontend development best practices.
• Hands-on experience with security protocols such as OAuth2 and JWT.
• Familiarity with CI/CD pipelines and modern deployment workflows.
• Experience working with the AWS stack and managing on-premises production systems.
• Prior experience in project management or comparable responsibilities.
• Excellent communication skills and a proactive mindset for working with a distributed team across time zones.
• A strong sense of ownership and the ability to work autonomously while aligning with team goals.

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 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

• A key member of the QRT Crypto desk, building and enhancing the core technology stack for our systematic trading
• Building the front-office systems for algorithmic trading, including PMS, risk engine, reconciliation, and connectivity
• Working with traders and quants to roll-out, support, and automate 24/7 trading strategies
• Designing clean architecture and leveraging state of the art tools and components
• Bringing new ideas and experimenting with new technologies

Your present skillset

• 5-10 years’ professional experience
• Strong Python skills; C++ or Rust experience would be a plus
• Very high standards in code quality and good development practices
• Knowledge of real-time, robust, scalable and quantitative applications
• Ability to architect high-throughput end-to-end systems
• Strong team-player and communication skills
• Experience with DevOps, CICD, AWS 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 QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

The Talent Acquisition team partner closely with Technology, Trading, and Business leaders to deliver exceptional hiring outcomes in highly competitive markets. We combine deep market knowledge with a proactive, data-driven approach, ensuring QRT attracts and secures world-class talent. Beyond day-to-day recruitment, the team also supports strategic initiatives such as global office build-outs and continuous improvement of our hiring tools and processes.

Your future role within QRT:

You will play a key role in supporting hiring for our technology and infrastructure teams, with a particular focus on roles that ensure the stability, scalability, and security of our trading platforms.

This is an end-to-end recruitment role with an emphasis on delivery, candidate experience, and developing strong partnerships with hiring managers.

Key responsibilities include:

• Managing end-to-end hiring processes for infrastructure-focused technology roles, including Site Reliability Engineers, Production Engineers, Platform/DevOps Engineers, and Security Engineers.
• Supporting sourcing efforts for technical roles, building talent pipelines through LinkedIn, internal tools, and market research.
• Partnering closely with hiring managers to understand role requirements across infrastructure, production support, and security functions.
• Proactively engaging candidates through outreach, networking, and relevant platforms to build consistent talent pipelines.
• Delivering a high-quality candidate experience from initial contact through to offer and onboarding.
• Supporting hiring projects such as team expansions and contributing to process improvements within Talent Acquisition.
• Working with external agencies where needed, ensuring alignment with QRT’s expectations and standards.

Your Present Skillset:

• 3–5 years of experience in technology recruitment, ideally with exposure to infrastructure, platform, or production-focused roles (e.g. SRE, DevOps, Support Engineering, Security).
• Experience supporting sourcing and delivery in competitive technical markets, with an interest in infrastructure and systems-focused hiring.
• Familiarity with ATS platforms (e.g. Greenhouse) and sourcing tools such as LinkedIn Recruiter.
• Strong organisational skills and the ability to manage multiple roles and stakeholders in a fast-paced environment.
• Clear communication skills and the ability to build effective working relationships with hiring managers and candidates.
• A proactive mindset with a willingness to learn and develop deeper knowledge of technical hiring markets.

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

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

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

Your Future Role within QRT

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

Your Present Skillset

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

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

The Role: Technical Product Manager (AI Enablement)
Location: London office / Hybrid (2 days per week in the office)
Reporting to: Head of Technology Operations

The Role

Our AI Enablement team accelerates how product and engineering teams deliver value by enabling safe, effective, high‑quality adoption of AI‑native tools, practices and agentic workflows. We partner across the organisation to reduce friction, enhance developer productivity, and drive governed AI integration at scale. 

As the Technical Product Manager for the AI Enablement team, you will help shape how product development teams adopt AI responsibly and effectively; establishing platforms and enabling agentic workflows with patterns, frameworks, and enablement practices that scale across engineering and product development to increase productivity and quality. 

This is a highly cross‑functional role requiring strong technical fluency, exceptional stakeholder alignment skills, and a deep understanding of the product lifecycle and software engineering workflows. 

Key outcomes for this role:

Customer-Centric AI Enablement

• Internal engineering and product teams experience limited friction in the adoption of production-grade AI tools, agents and workflows that directly address the bottlenecks, friction, and inefficiencies in the product development lifecycle.  

Accelerated Time-to-Value

• Teams deliver software faster and more efficiently through AI‑enhanced product development, testing, documentation, and operational workflows. 
• High‑impact use cases are identified, validated, and rolled out systematically across teams.
   

Clear Business Alignment & Visibility

• AI enablement initiatives and the roadmap are tied directly to engineering productivity, business value streams, and strategic priorities.
• Communication of impact, tradeoffs, and adoption progress is transparent and visible to stakeholders.
   

Data-Driven Decision Making 

• Clear AI enablement metrics (adoption, velocity improvements, model performance, workflow usage) drive prioritisation and planning.
• Teams focus on the highest‑value problems through insight‑led prioritisation. 

Key Responsibilities:

Internal Customer Insights

• Maintain an understanding of engineering, product, QA, security, and operations teams’ AI needs, friction points, and opportunities.
• Use structured research, platform telemetry, surveys, and direct engagement to guide prioritisation.  

AI Platform & Capability Decision

• Working with Technology Leadership shape the internal AI platform strategy: capabilities, use cases, patterns, and adoption pathways.
• Define “what good looks like” for AI‑native and agentic workflows such as:  

*AI‑assisted generation and review 

*Test generation and validation 

*Documentation automation 

*Log/metric analysis and incident assistance 

*Internal AI agents supporting SSDLC tasks 

Product Roadmaps & Delivery

• Own and maintain a clear AI enablement roadmap that balances customer needs, capability maturity, governance, and organisational priorities. 

• Ensure tradeoffs and recommendations are well‑articulated with supporting data. 

• Ensure the successful end-to-end delivery of the roadmap.  

Governance, Safety & Scalability

• Partner with security, compliance, data, and architecture teams to ensure all AI adoption is safe, governed, and scalable. 
• Translate emerging risks and constraints into product decisions and prioritization frameworks.
   

Enablement & Adoption

• Create clear documentation, playbooks, and training materials for AI tooling and workflows. 

• Partner with engineering teams to pilot new AI capabilities, capture learnings, and scale successful patterns across product development. 

• Champion AI best practices and ensure enablement efforts are measurable, repeatable, and continuously improving. 

• Measure adoption, efficiency, quality, and report progress at key stakeholder forums. 

We're looking for someone who

• Has experience managing technical products (developer tools, ML/AI systems, automation platforms, and multi‑agent systems). 

• Understands the software development lifecycle, DevOps/SRE practices, and the realities of engineering and product delivery workflows. 

• Has strong empathy for engineers and enjoys spending time with users to deeply understand workflows and bottlenecks. 

• Can translate complex technical opportunities into clear business value and narrative. 

• Is highly structured, self‑directed, and capable of aligning diverse stakeholders. 

• Enjoys experimentation and can balance rapid iteration with risk‑aware governance. 

The Role: Platform Engineering Manager (Cloud Foundations)

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

Reporting to: Head of Technology Operations

The Role 

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

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

Key Outcomes for This Role 

Strategy, Delivery and Execution 

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

• The team provides accurate estimates and realistic plans. 

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

People Leadership & Team Development 

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

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

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

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

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

Platform Engineering, Operations & Reliability 

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

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

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

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

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

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

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

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

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

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

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

Governance, Guardrails & Security 

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

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

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

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

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

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

What you’ll bring  

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

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

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

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

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

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

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

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

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

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

The Role

As a Senior Software Engineer you will provide technical leadership to the group responsible for architecting, developing, and owning Addressability part of the Zeta Marketing Platform. You will collaborate with Engineers, Product Managers and Executives across the organization to develop a roadmap and subsequent projects to build the next generation comprehensive, multichannel marketing solution that unifies and unlocks data across digital touch points, driving return on marketing investment. 

This position will be responsible for the design and development of realtime systems of The Zeta Marketing Platform and LiveIntent, working on technology that enables access to core of Identity Solutions. You will mentor an organization of developers through your knowledge sharing sessions that will guide and strengthen their knowledge.
You should have a deep knowledge of distributed systems and cloud architecture. You will need extensive design and development experience and passion about working with large amounts of data and designing reliable low-latency data processing systems. 

This is a hybrid role based out of our London, UK office

Essential Responsibilities:

As a Senior Software Engineer, your responsibilities will include:

• Building, refining, tuning, and maintaining our real-time infrastructure
• Designing, developing and maintaining services responsible for data collection and real-time data processing
• Working with Product Managers to design and build data products
• Working with our DevOps team to scale and optimize our infrastructure
• Participate in architecture discussions, influence the road map, take ownership and responsibility over new projects
• Participating in on-call rotation (be available by phone or email in case something goes wrong)

Desired Characteristics:

• Minimum 4 years of software engineering experience.
• An undergraduate degree in Computer Science (or a related field) from a university where the primary language of instruction is English is strongly desired.
• 2+ Years of Experience/Fluency in Scala/Java
• Proficient with both relational and NoSQL databases
• Experience working with container-based solutions is a plus.
• Experience in adequate usage of libraries such as ZIO, Akka, Play Framework is a plus
• Experience in adequate usage of cloud services (AWS) at scale
• Experience in adequate usage of Terraform
• Proven long term experience and enthusiasm for distributed data processing at scale, eagerness to learn new things.
• Expertise in designing and architecting distributed low latency and scalable solutions in cloud.
• Exposure to the whole software development lifecycle from inception to production and monitoring.
• Experience in Advertising Attribution domain is a plus
• Experience in agile software development processes
• Excellent interpersonal and communication skills

BENEFITS & PERKS

• Excellent medical, dental, and vision coverage

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

#LI-NP1

Your impact 

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

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

What you will do

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

Skills and qualifications 

Essential

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

Nice to have

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

THE ROLE

We are seeking a Delivery Manager (early-career) to bring structure and accountability to how the Technology & Digital Services (TDS) team delivers software, infrastructure, and vendor-led projects. This is a cross-functional role that sits at the heart of TDS delivery, coordinating across internal engineering squads, Product Managers, architects, and third-party vendors to help ensure that projects are delivered on time, to standard, and without disruption to the business.

You will work closely with the India-based Release Manager, supporting day-to-day release priorities and pipeline standards, and helping to coordinate delivery activities across both teams. You are not expected to manage squads directly, that is shared with the Scrum Master and Product Managers, but you will be the person who helps ensure everyone is aligned, dependencies are managed, and nothing falls through the cracks.

This is a role for someone who thrives in complexity, can support internal teams and external vendors to stay on track (even without direct authority), and can translate technical delivery status into clear communication for project stakeholders.

KEY RESPONSIBILITIES

Delivery Coordination & Project Management

• Plan, coordinate, and track delivery across concurrent Digital Transformation workstreams and BAU changes, maintaining a clear and consolidated view of progress, risks, and dependencies at all times.
• Work closely with Technical Leads, Architects, and Product Managers to ensure delivery is on track, proactively surfacing blockers and facilitating their resolution without taking over squad-level ownership.
• Help define and communicate what teams need to deliver in order for work to be considered ready to enter the CI/CD pipeline, working in alignment with the Definition of Ready and Definition of Done standards maintained by Product Management.
• Support Product Managers in managing coordination overhead across workstreams, acting as a force multiplier for delivery capacity within TDS.
• Collaborate with the data capability and Platform Owner to ensure data-related delivery workstreams are appropriately integrated into the broader delivery schedule.
• Maintain accurate delivery documentation, including project plans, RAID logs, and status reports, ensuring stakeholders always have a clear and honest picture of delivery health.

Vendor & Third-Party Delivery Management

• Ensure that third-party vendors adhere to TDS release processes, quality gates, and delivery standards, monitoring compliance and escalating issues within the delivery lifecycle.
• Coordinate vendor delivery activities within the broader delivery schedule, managing dependencies between internal and external workstreams to avoid conflict or disruption.
• Monitor vendor delivery performance and raise concerns early to the relevant Product Manager and the Engineering Lead, providing clear evidence and suggested actions.
• Apply structured project and delivery management approaches (e.g. stage gate processes) where vendors operate outside of an agile framework, ensuring appropriate governance and delivery controls are in place.

Release Oversight & Pipeline Standards

• Provide day-to-day support to the India-based Release Manager on release priorities, pipeline standards, and process compliance, working closely with key delivery and technical leads across both roles.
• Support release readiness and go/no-go activities by gathering inputs and ensuring criteria are tracked, in partnership with Head of Design & Engineering and relevant Technical Leads, ensuring that all delivery and quality criteria are met before any release proceeds to production.
• Support the ongoing improvement of the CI/CD pipeline and release ways of working, identifying gaps and proposing practical process updates as the capability matures.
• Ensure that release processes and standards are understood and consistently followed by all internal teams and vendors.

Incident Management

• Coordinate incident resolution when release-related or production issues arise, acting as the central point of contact across engineering teams, vendors, and architects to drive swift diagnosis and remediation.
• Ensure all incidents are properly documented and reviewed as part of a continuous improvement process, feeding lessons learned back into delivery and release standards.

Architecture & Technical Governance

• Build sufficient understanding of the organisation's architecture, including products, software, data, cloud, and security, to coordinate delivery effectively across technical disciplines.
• Work closely with the architect community (system, data, cloud, enterprise, and security architects) to help ensure that delivery decisions respect architectural standards and constraints.
• Escalate technical risks or architectural concerns identified during delivery to the appropriate architect or the Engineering Lead.

Stakeholder Communication & Reporting

• Provide regular, consolidated delivery and release status updates to the Head of Design & Engineering and wider TDS leadership.
• Support and facilitate cross-team delivery forums and release planning sessions, ensuring the right people are in the room and that decisions are made efficiently.
• Contribute to CAB meetings, providing accurate and timely information on upcoming releases to support informed change advisory decisions.

SKILLS & COMPETENCIES

To be successful in this role, you will demonstrate:

• Strong delivery management skills, with the ability to coordinate complex, multi-team environments involving internal squads and external vendors.
• Comfortable engaging with architects and engineers on software, infrastructure, and cloud topics, with the ability to understand delivery impacts and ask the right questions without needing to be a practitioner.
• Good understanding of agile delivery practices, with experience working alongside Scrum Masters and Product Managers in a cross-functional squad model, including sprint-based release cycles and continuous delivery practices.
• Working understanding of structured project management methodologies, particularly in the context of stage gate processes and vendor delivery governance.
• Strong influencing skills, able to encourage internal teams and vendors to work to agreed standards without direct line management authority.
• Highly organised, with strong planning, prioritisation, and risk management skills across concurrent workstreams.
• Clear and confident communicator, able to translate technical delivery status into plain language for non-technical stakeholders.
• Resilient and pragmatic, comfortable operating in a maturing delivery environment and driving improvement incrementally.
• Delivery focus with strong critical thinking and problem-solving skills.
• Passion for sustainability and the mission to lead the transition to clean energy.
• Commitment to NextEnergy Group's values: be a leader, build trust, be responsible, be innovative, and 'bring your alpha'.

EXPERIENCE & QUALIFICATIONS 

• Minimum of 3 years of experience in a delivery management or technical project management role within a software or technology delivery environment.
• Proven track record of coordinating delivery across internal engineering teams and third-party vendors simultaneously.
• Experience working in an agile delivery environment, with a strong understanding of how delivery management integrates with squad-based ways of working, including sprint-based release cycles, continuous delivery practices, and supporting release planning across one or more agile teams.
• Working understanding of software architecture, cloud infrastructure, and data platform concepts, sufficient to coordinate effectively across technical disciplines.
• Familiarity with structured project management methodologies (e.g. PMP, PRINCE2, or equivalent), particularly in the context of stage gate processes and managing vendors operating outside of an agile framework.
• Experience working with Azure DevOps or equivalent tools for project tracking and delivery coordination.
• Familiarity with Change Advisory Board (CAB) processes and how delivery and release management feeds into change governance.
• Experience managing or providing direction to geographically distributed teams is highly desirable.
• Experience working in a regulated industry (e.g. energy, finance, utilities, or similar) is desirable.
• The right to work in the UK

WHAT WE OFFER 

• A busy role in a supportive team, with plenty of opportunities to learn
• International scope – we operate in over 8 countries
• Hybrid working – we will need you in the central London (Mayfair) office at least twice a week, but you will normally be able to work remotely for the remainder of the week
• 30 days’ holiday per year (3 of which are taken during the festive shutdown in December)
• Private pension
• BUPA Healthcare for you and qualifying dependents
• Cycle to work and electric vehicle leasing schemes
• Annual discretionary bonus.

HOW TO APPLY

If you are interested in this opportunity, please follow the link to apply or send your application to careers@nextenergycapital.com. If you have been shortlisted for the next stage, we will be in contact within 14 days. 

By selecting “Apply” or sending us your CV, you indicate you have read and acknowledged NextEnergy Group’s Candidate Privacy Notice.

DIVERSITY AND INCLUSION

Our approach to diversity and inclusion is a natural extension of our values. Our entrepreneurial culture inspires us to try new things, be open to different viewpoints and be bold. Our Group is committed to cultivating and preserving a culture of connectedness that values difference and gives space for individual expression. The collective sum of our individual differences, life experiences, knowledge, innovation, self-expression, talent and hard work form the bedrock of who we are and who we aspire to be.

We are committed to equal employment and advancement opportunity irrespective of race, color, ancestry, social background, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability and gender identity.

ABOUT US 

NextEnergy Group was founded in 2007 to become a leading market participant in the international solar sector.  Since its inception, it has been active in the development, construction, and ownership of solar assets across multiple jurisdictions.  NextEnergy Group operates via its three business units: NextEnergy Capital (Investment Management), WiseEnergy (Operating Asset Management), and Starlight (Asset Development).

NextEnergy Capital manages the Group's investment activities and has invested in over 520 solar plants, exceeding 2GW in capacity across its institutional funds.

• NextEnergy Solar Fund (NESF): Listed on the London Stock Exchange, NESF manages 102 solar and energy storage assets in the UK and Italy, with a total installed capacity of 983MW and a gross asset value of £1,014m.
• NextPower II (NPII): A private fund of 105 solar plants (149MW) focused on Italy, successfully divested in January 2022, delivering net IRRs exceeding its 10-12% target.
• NextPower III ESG (NPIII ESG): A private fund targeting solar infrastructure in OECD countries (e.g., US, Spain, Italy), with $896m raised, exceeding its $750m target.
• NextPower UK ESG (NPUK ESG): A private fund dedicated to new-build solar plants in the UK, with ~£600m raised.
• NextPower V ESG (NPV ESG): A private OECD solar fund investing in solar and adjacent technologies like battery storage. To date, it has raised $745m, targeting $1.5bn ($2bn ceiling).

WiseEnergy® is NextEnergy Group’s operating asset manager.  WiseEnergy is a leading specialist operating asset manager in the solar sector.  Since its founding, WiseEnergy has provided solar asset management, monitoring, technical due diligence and under construction services to over 1,500 utility-scale solar power plants with an installed total capacity in excess of 3.4 GW.  WiseEnergy clients comprise leading banks and equity financiers in the energy and infrastructure sector. 

Starlight is NextEnergy Group’s development company that is active in the development phase of solar projects.  It has developed over 100 utility-scale projects internationally and continues to progress a large pipeline of c.10GW of both green and brownfield project developments across global geographies.

NextSTEP is the venture capital fund of NextEnergy Group, dedicated to investing in innovative startups in the field of environmental sustainability. The fund primarily focuses on investments in Italy and the United Kingdom but also extends its reach to the rest of Europe and the United States, targeting startups in the pre-seed and seed stages. NextSTEP pays particular attention to emerging entities from incubators, startup accelerators, universities, and research centers, supporting projects that address global challenges in crucial areas such as Climate Change, Energy Transition, CO2 Capture and Sequestration, Circular Economy, Sustainable Cities, Sustainable Mobility, Sustainable Fashion, Waste Management, Water and much more.

NextEnergy Foundation is a non-profit organisation founded in 2016 by the NextEnergy Group that operates internationally and whose mission is to proactively participate in the global effort to reduce carbon emissions by providing clean energy sources in regions where they are not yet available and thereby contributing to poverty reduction. As the main sponsor of this foundation, the NextEnergy Group donates at least 5% of its consolidated net profits each year. The NextEnergy Foundation has no overhead costs and therefore 100% of the funds raised go to donations for the various projects. Since 2016, in 8 years of operation the foundation has donated more than £1.2 million, supporting over 30 projects in 27 different countries around the world.

Nebius is looking for a Senior Technical Recruiter to strengthen our Talent Acquisition team and help us attract top technical talent. In this role, your primary focus will be on active sourcing and building strong pipelines of backend engineers, system engineers, and technology experts to support the company’s continuous growth.

Remote working, Based in the UK (London) OR Netherlands, working Hybrid from Amsterdam.

Your responsibilities will include:

• Technical Talent Sourcing: Proactively identify and engage engineers and other tech specialists through diverse channels (LinkedIn, GitHub, Boolean Search, professional communities, conferences, forums, networking, employee referrals).

• Pipeline Development: Build, maintain, and continuously refresh a pool of qualified engineers and developers for current and future hiring needs; provide funnel statistics to Hiring Managers (e.g., number of applicants, time to hire, etc.).

• Candidate Engagement: Craft personalized outreach and communication to spark interest and showcase opportunities at Nebius. Engage in pre-onboarding activities and contribute to HR projects.

• Screening: Conduct resume reviews and initial calls to assess candidates’ technical background, experience, and motivation.

• Collaboration with Hiring Managers: Partner with engineering leaders to deeply understand role requirements and design effective sourcing strategies.

• Market Research & Insights: Stay on top of industry trends, tech community activity, and competitor hiring practices. Identify the best companies to target for top-tier technical talent.

We expect you to have:

• 4+ years of experience in technical recruitment, specializing in Backend/General Tech such as (but not limited too): Software Engineers, Python Engineers, Platform Engineers, Cloud Platform Engineer, Site Reliability and Infrastructure Engineers, DevOps, Systems Engineers and Data Platform Engineers.

• Strong sourcing expertise and familiarity with tech talent pools, platforms, and communities.

• Deep understanding of tech subject areas, developers’ roles, technologies, and motivations, plus insight into which companies are the best sources of top candidates.

• Ability to manage multiple priorities and work in a fast-paced environment.

• Excellent follow-through, organizational, presentation, and communication skills (both written and verbal).

• Creative problem-solving skills with the ability to adapt quickly.

About the Opportunity

Contentful strives to build a secure and safe service and commits considerable effort and resources to security. Our Security team supports corporate-wide information security management programs and collaborates closely with internal teams. We believe that Security must be anchored by DevOps principles with strong repeatable processes.

We are looking for a committed and driven Senior Security Analyst with experience performing analysis and incident management of information security events, as well as experience contributing directly to the growth of and design of a security program. As a Senior Security Analyst, you will have daily alert investigation and incident response responsibilities, but you will be empowered to proactively drive change to shape and support the growth of our Security program.

Candidates should have experience triaging new and unfamiliar alerts, leading technical workstreams in incidents, or leading all aspects of medium scale incidents. They should have experience creating and maintaining high quality threat detection and demonstrate knowledge and understanding of common Information Security principles and frameworks, coupled with excellent communications skills and a continuous desire to learn and grow.

You will be expected to work independently, work as a part of a global dispersed team, and partner with stakeholders throughout the organization to ensure comprehensive risk mitigation while reducing impact to end users throughout the organization.

What to expect? 

• Perform daily alert investigation and response in a hybrid environment.
• Conduct detail-oriented analysis across challenging and complex ecosystems.
• Communicate investigation and threat updates to technical and non technical senior leaders.
• Work collaboratively across internal functions to identify, respond, and remediate security issues.
• Investigate and lead incidents of medium size and complexity.
• Investigate vulnerability exploitation and support remediation inline with vulnerability programs.
• Collaborate with the team and actively assist in major response exercises.
• Drive continuous improvement across all aspects of threat detection and response.
• Create processes, documentation, and runbooks to support a rapidly growing team.
• Identify systemic issues and collaborate on approaches to address root causes.
• Collaborate on threat models by incorporating detection use cases into designs.
• Identify and lead efforts to improve efficiency, response, detection, and preventative measures.
• Design and build detection logic across multiple platforms (e.g., SIEM, EDR, etc.)
• Play an active role in scaling Operation practices by contributing to team roadmaps.
• Provide delightful and informative interactions with all end users.
• Proactively identify opportunities for user training and awareness programs.
• Provide insights and input on tool selection to help grow our cybersecurity portfolio.

What you need to be successful

• 5+ years of Security Operations experience, including alert triage and investigation
• 2+ detection and tuning experience, inclusive of Security Operations experience
• 2+ years of Security Incident Response experience
• Ability to support on call and occasional off-hours incident response efforts
• Proficiency in analysis fundamentals (e.g., log analysis, live response, forensics, etc.)
• Mastery of investigation methods and adept at handling new and unfamiliar cases.
• Firm understanding of attacker Tactics, Techniques, and Procedures
• Proficiency in attacker techniques in cloud-native and traditional environments.
• Strong technology fundamentals (e.g., OSI Model, TCP/IP, Layer 7 protocols , etc.)
• Ability to perform detailed host analysis on Mac, Windows, & Linux systems.
• Hands-on experience using security technologies (e.g., SIEM, EDR, AntiVirus, etc.)
• Hands-on experience with malware analysis using dynamic and static analysis tools.
• Expertise in AWS audit and security services to investigate cloud centric threats
• Proficiency investigating incidents across SaaS platforms and identity systems
• Experience performing investigations in cloud service providers (e.g., AWS, GCP, Azure, etc.)
• Practical experience with cross-platform and hybrid environment investigations
• Ability to interpret designs and enumerate actionable detection use cases
• Familiarity with modern engineering and detection engineering practices
• Practical mindset to balance business needs with security requirements.
• A drive for change through continuous improvement
• Capable of working independently but possesses a collaborative mindset
• Comfortable working with a geographically dispersed team.
• Experience working independently and as part of a team
• Ability to work in a fast-paced environment, often juggling multiple tasks, alerts, and incidents
• Passion for solving complex security problems in innovative and scalable ways

What’s in it for you?

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

The Rubrik Engineering team is comprised of people who produce extraordinary results. Our engineers are driven to build efficient, reliable, and cost-effective products. We believe in empowering our teams, giving engineers autonomy and responsibility, not just tasks. Our goal is to motivate and challenge you to do the best work of your career. As part of the Rubrik Engineering team, you will work closely with product managers, designers, and other engineers to define the next generation of products for Rubrik. At Rubrik, nothing will stop you from thinking big. We are looking for individuals who are comfortable with ambiguity and excited by the prospect of a challenge. If you have a positive attitude, high energy and limitless drive, and like to win, we want to talk to you.

Job Overview

The Cloud Solutions Architect is a key sales specialist role, supporting the broader sales organization with deep technical knowledge in a focus area. This means working with customers and prospects to educate them on how Rubrik protects and manages data. Additionally, the Solutions Architect will have an active role in providing real world feedback to product teams to enhance the product, testing new features before they are released, and helping educate the sales organisation on key components of their focus area technology. The Solutions Architect provides both immediate and long-term impact with their technical knowledge and position of influence with prospects and customers.

Responsibilities and Duties

• This is a remote work position with approximately 50% travel for onsite meetings (as required).
• Provide technical guidance in customer facing calls as required, both in person and remote.
• Expert level knowledge in primary hyperscalers (AWS, Azure, GCP) including authentication, authorization, networking, security, services, workloads, etc.
• Acts as a strategic advisor on Cloud Native architecture and DevOps; evangelist in automation using Infrastructure as Code and platform-native self-service capabilities.
• Ability to conduct in depth sales discovery and alignment of technical capabilities to customer pain
• Serve as a cloud subject matter expert, covering cloud-centric opportunities and enabling the sales team to effectively promote and sell cutting-edge cloud solutions.
• Assist with technical implementation or validation of the product.
• Work closely with sales teams from initial discovery through technical validation of the Rubrik solution.
• Creating and giving presentations for technical enablement of the systems engineers
• Work with product management and engineering to discover and address product gaps, providing real world knowledge on product use.
• Attend internal meetings and events as required, both in person and remote.

Qualifications

• Bachelor's degree or equivalent.
• 5+ years of experience in their focus area.
• A solid understanding of backups, high availability, and disaster recovery architectures for their focus area.
• Knowledge of common Identity Providers (Entra, AD, Okta), architecture and integration
• Scripting experience in a relevant language (Python, PowerShell, Bash, etc.)
• Experience with Terraform and other tools strongly preferred
• Ability and experience giving technical presentations ranging from small to large audiences
• Ability to self-manage time and projects.

Catapult is building the future of sports performance technology, with a mission to Unleash the Potential of every athlete and team on earth. We don't just work in the sporting industry; we are actively changing it.  Since 2006, our solutions have been leading the way in sports performance software, science, and data, in a world where 1% can literally mean the difference between winning and losing.

We work with over 5,000+ teams around the world, empowering coaches, managers and trainers in premier teams in the NFL, NBA, NHL, MLS, EPL, AFL, NRL, NCAA and more. We provide the information they need to optimize athletes’ health, game-day readiness, and performance, as well as in-game tactics.  

Catapult is a sports technology company that empowers professional teams to make data-driven decisions. We deliver health, performance, video, and AI insights from the locker room to competitive environments, ensuring every decision is an opportunity to gain an advantage, sharpen performance, and build lasting success. 

WE WANT PEOPLE WHO ARE PASSIONATE ABOUT PLATFORM ENGINEERING

We are looking for a talented and inquisitive Principal DevOps Engineer whose drive for learning and determination for continuous improvement aligns with our ambitious, fast-growing and transforming company. Based in our London office, you will be a key player in planning, designing, building and testing the features of our next-generation cloud platform that combines digital video assets, wearable data and athlete information to provide insights and analytics to coaching/support staff, sports scientists and athletes to assist in optimizing athlete performance. We believe that our customers deserve the best platform and we are on a mission to maximize and enhance their performance through delivering a high-quality experience. Our software and DevOps engineers match this ethos by taking responsibility for constantly improving productivity and development of self and be able to excel in a fast-paced environment with short project timelines from conception to deployment.

WHAT YOU’LL DO 

• Cloud & Platform Engineering
• Infrastructure Automation & IaC: Own infrastructure provisioning and configuration management (e.g., Terraform, Ansible).
• Observability & Reliability: Design, build and maintain logging, monitoring, alerting, and SLO/SLI frameworks to ensure system health and performance.
• Software Delivery Pipelines: Design, implement, and maintain CI/CD pipelines to enable fast, safe, and repeatable software delivery.
• Infrastructure Operations & Governance: Oversee the availability, scalability, and performance of cloud and on-prem infrastructure while ensuring all systems remain strictly aligned with corporate security standards and global regulatory compliance.
• Cloud Security 
• Cloud Security & Compliance: Ensure compliance with relevant compliance and regulatory frameworks (e.g., ISO 27001, SOC 2, GDPR as applicable) and implement best practices cloud security controls.
• Security Operation: Lead security first approach, collaborate with Security and IT teams to make sure our infrastructure is patched according to SLAs.
• Application Security (AppSec): Collaborate with security teams to embed security controls into CI/CD pipelines and platform services.
• Technology leader
• Architectural Roadmap & Vision: Define and execute the long-term technical roadmap for Catapult’s global cloud platform, evaluating emerging technologies (e.g., Serverless, AI-driven operations, and Containerization) to ensure the infrastructure remains cutting-edge, scalable, and best to used by our customers.
• Technical Governance & Standards: Be a big contribution to  infrastructure decisions, establishing "Golden Paths" and reusable Infrastructure as Code patterns that dictate how engineering teams deploy services while ensuring consistency across all environments.
• Strategic Security & Compliance Integration: Architect and champion a "Shift-Left" security strategy, mandating the integration of automated security guardrails and compliance auditing into the core fabric of the CI/CD pipelines to protect athlete and video data globally.

WHAT YOU’LL NEED

• Significant experience in DevOps, Site Reliability, Platform or Infrastructure Engineering, with tenure in technical leadership role.
• Deep expertise in the AWS cloud platform and associated security and compliance practices.
• Strong background in infrastructure automation (IaC), CI/CD pipelines, and observability tooling.
• Proven experience with big platform re-design, architecture of new cloud infrastructure systems based on software and business requirements.
• Solid understanding of AppSec principles, including integrating security into build and deploy pipelines.
• Experience managing hybrid environments, including traditional data centers and on-prem services.
• Excellent communication and stakeholder management skills; ability to influence across engineering, security, and finance.
• Experience with regulated industries (e.g., healthcare, fintech).
• Familiarity with multiple compliance frameworks (SOC 2, HIPAA, PCI-DSS).

WHAT YOUR SUCCESS WILL LOOK LIKE

In 6 months time…

By the half-year mark, you will have moved beyond the onboarding phase to become the primary authority on Catapult’s infrastructure.

• Infrastructure Ownership: You will fully own the cloud infrastructure, having gained a deep understanding of all interconnected parts that support their athlete and video data services.
• Established Automation: You will have taken control of infrastructure provisioning and configuration management, ensuring that Terraform or Ansible are being used effectively for IaC.
• Observability Implementation: You will have designed and begun maintaining essential logging, monitoring, and SLO/SLI frameworks to ensure high system health and performance.
• Have a full understanding of Catapult’s products and the way we are working in order to be able to architect any new future existing or new product.

In 12 months time…

By the end of your first year, you will be driving the "next generation" of Catapult’s technology stack and leading cross-functional improvements.

• End to End Platform Ownership: You will take full accountability for the evolution of our production ecosystem, architecting a resilient, "deploy-anywhere" infrastructure that scales seamlessly with software demands and business growth.
• Optimized Delivery: You will have refined the CI/CD pipelines to a state where software delivery is consistently fast, safe, and repeatable across the engineering team.
• Integrated Security and Compliance: You will have transitioned the platform to a "security-first" architecture, successfully embedding automated AppSec controls and vulnerability scanning directly into the CI/CD pipelines.
• Cross-Departmental Influence: Your success will be reflected in your ability to influence stakeholders across engineering, security, and finance to drive technical and operational improvements.

WHY CATAPULT? 

• We have amazing people. We promise you’ll work with some of the most ambitious,  intelligent people in an exciting industry, and do some of the best work of your life.
• We encourage our people to engage in constructive, open, and honest communication to make Catapult extraordinary. 
• We work in a collaborative yet challenging environment to consistently improve our performance, which in turn impacts our customers' performance.
• Our workforce spans more than 20 countries. You'll have the opportunity to work with people from multiple nationalities and cultures, and to build your global awareness.  
• We value improvement and development. We are challenging ourselves to continuously grow and become a high-performance company. That means we maintain a growth mindset in everything we do, and our people are always looking for ways to improve.  There is an unlimited opportunity to grow, do more, and do better.

Whether you’re interested in sports or not, you’ll have the satisfaction of knowing your work is supporting some of the most successful teams and athletes on the planet! 

Research shows that while men apply for jobs when they meet an average of 60% of the criteria, women and other marginalized groups tend only to apply when they check every box. So if you have what it takes, but don't meet every single point in our job ad, please still get in touch! We would love to have a chat and see if you could be a great addition to our team. We are building the future of sports performance. Our priority is to find the brightest talent who can add to our team culture, actively contribute, and be excited about what they do.

All offers of employment are subject to Catapult's positive prehire check. To find out more, please contact the Talent Partner for this role.

Joining our Customer Data Science team, you’ll work with world class and passionate people to create reusable science modules, ensuring they are productionised, robust and available to the business. You’ll contribute to the research and implementation of new approaches to address complex problems and explore changes to process and tooling to enable research at scale.

What we expect from you

• Experience designing and delivering production-grade analytical Python solutions
• Experience working with relational databases, and SQL-like operations
• Understanding of machine learning techniques such as regularised regression, clustering or tree-based ensembles (and experience applying them with packages like Pandas, sci-kit-learn, SciPy) is highly beneficial
• Experience processing big data, ideally in a Hadoop/Spark environment, would be beneficial
• Proven experience implementing CI/CD and DevOps practices, with the ability to improve deployment reliability, testing standards, and release processes

Responsibilities

• Design, build and own standalone, reusable python packages that surface novel data science solutions, and are fundamental to best-in-class, global products and services
• Build processes and tools to support the research of global science methods, including visual dashboards to showcase their approaches
• Translate stakeholder requirements into robust, production-ready solutions
• Collaborate cross-functionally and mentor junior team members to raise engineering capability and impact

About the Opportunity

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

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

What to expect? 

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

What you need to be successful?

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

Preferred:

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

What’s in it for you?

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

About the Opportunity

Contentful strives to build a secure and safe service and commits considerable effort and resources to security. Our Security team supports corporate-wide information security management programs and collaborates closely with internal teams. We believe that Security must be anchored by DevOps principles with strong repeatable processes.

We are looking for a committed and driven Senior Security Analyst with experience performing analysis and incident management of information security events, as well as experience contributing directly to the growth of and design of a security program. As a Senior Security Analyst, you will have daily alert investigation and incident response responsibilities, but you will be empowered to proactively drive change to shape and support the growth of our Security program.

Candidates should have experience triaging new and unfamiliar alerts, leading technical workstreams in incidents, or leading all aspects of medium scale incidents. They should have experience creating and maintaining high quality threat detection and demonstrate knowledge and understanding of common Information Security principles and frameworks, coupled with excellent communications skills and a continuous desire to learn and grow.

You will be expected to work independently, work as a part of a global dispersed team, and partner with stakeholders throughout the organization to ensure comprehensive risk mitigation while reducing impact to end users throughout the organization.

What to expect? 

• Perform daily alert investigation and response in a hybrid environment.
• Conduct detail-oriented analysis across challenging and complex ecosystems.
• Communicate investigation and threat updates to technical and non technical senior leaders.
• Work collaboratively across internal functions to identify, respond, and remediate security issues.
• Investigate and lead incidents of medium size and complexity.
• Investigate vulnerability exploitation and support remediation inline with vulnerability programs.
• Collaborate with the team and actively assist in major response exercises.
• Drive continuous improvement across all aspects of threat detection and response.
• Create processes, documentation, and runbooks to support a rapidly growing team.
• Identify systemic issues and collaborate on approaches to address root causes.
• Collaborate on threat models by incorporating detection use cases into designs.
• Identify and lead efforts to improve efficiency, response, detection, and preventative measures.
• Design and build detection logic across multiple platforms (e.g., SIEM, EDR, etc.)
• Play an active role in scaling Operation practices by contributing to team roadmaps.
• Provide delightful and informative interactions with all end users.
• Proactively identify opportunities for user training and awareness programs.
• Provide insights and input on tool selection to help grow our cybersecurity portfolio.

What you need to be successful

• 5+ years of Security Operations experience, including alert triage and investigation
• 2+ detection and tuning experience, inclusive of Security Operations experience
• 2+ years of Security Incident Response experience
• Ability to support on call and occasional off-hours incident response efforts
• Proficiency in analysis fundamentals (e.g., log analysis, live response, forensics, etc.)
• Mastery of investigation methods and adept at handling new and unfamiliar cases.
• Firm understanding of attacker Tactics, Techniques, and Procedures
• Proficiency in attacker techniques in cloud-native and traditional environments.
• Strong technology fundamentals (e.g., OSI Model, TCP/IP, Layer 7 protocols , etc.)
• Ability to perform detailed host analysis on Mac, Windows, & Linux systems.
• Hands-on experience using security technologies (e.g., SIEM, EDR, AntiVirus, etc.)
• Hands-on experience with malware analysis using dynamic and static analysis tools.
• Expertise in AWS audit and security services to investigate cloud centric threats
• Proficiency investigating incidents across SaaS platforms and identity systems
• Experience performing investigations in cloud service providers (e.g., AWS, GCP, Azure, etc.)
• Practical experience with cross-platform and hybrid environment investigations
• Ability to interpret designs and enumerate actionable detection use cases
• Familiarity with modern engineering and detection engineering practices
• Practical mindset to balance business needs with security requirements.
• A drive for change through continuous improvement
• Capable of working independently but possesses a collaborative mindset
• Comfortable working with a geographically dispersed team.
• Experience working independently and as part of a team
• Ability to work in a fast-paced environment, often juggling multiple tasks, alerts, and incidents
• Passion for solving complex security problems in innovative and scalable ways

What’s in it for you?

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

#LI-KH1 #LI-Hybrid

Principal Engineer

Location: Waterloo, London, England, UK | Hybrid (1 day per week in office)

Who We Are 

At 8th Light, we bring life to the best ideas.

Founded in 2006 and headquartered in Chicago, we are a technology solutions provider that partners with organizations to solve meaningful challenges and drive sustainable growth. From early-stage startups to global enterprises, we work across industries to optimise our clients’ digital products through product strategy innovation, experiential design, AI solutions, and deep engineering expertise. 

Our commitment to quality means we deliver solutions we’re truly proud of, while our curiosity sparks innovation and breakthrough thinking. 8th Lights thrive in an environment that champions continuous education, fueling our growth through mentorship and hands-on work. We foster an open, collaborative culture grounded in honesty that builds trust, and believe true success is measured by the outcomes we create for our clients.

If this kind of work and our kind of people energizes you, you’ve found the right place. 

Who You Are

You’ve shown long-term repeated success on a variety of projects, typically over the course of 10+ years. You are a trusted expert and leader, often called upon to guide ambiguous initiatives and architect scalable solutions. You bring a blend of deep consulting acumen, technical expertise, and product thinking that drives measurable and impactful outcomes. In your previous experience, you have:

• Demonstrated long-term success on high-stakes consulting engagements across multiple language paradigms, stacks, ecosystems, technical environments, and client industries 
• Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you’ve served 
• Led the development and delivery of production-grade software using a variety of languages and frameworks, including but not limited to: Python, Java, JavaScript, TypeScript, React, Ruby, Scala, R, SQL, and Go
• Evaluated and strategically applied AI-assistive development tools to accelerate delivery and improve quality
• A track record of understanding, assessing, and embracing new tooling and trends within the software industry
• Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) 
• Used context-appropriate automated testing to inform software design choices and catch bugs
• Successfully led modernization efforts to align legacy systems with short and long-term business needs
• Remedied architecture-level concerns such as scalability, security, reliability, and performance
• Facilitated alignment and collaboration across technical and non-technical stakeholders to move initiatives forward in the face of ambiguity and complexity while balancing technical considerations with product and user needs
• Provided mentorship and team support at scale, while sharing knowledge and improving team practices 
• Actively sought out and effectively given feedback
• Collaboratively led stakeholders to balance technical considerations with product and user needs

What You’ll Do At 8th Light

As a go-to technologist and strategist within 8th Light, you’ll work with a variety of clients, typically one to two in a year, while continuing to deepen your and our collective domain expertise over the course of your career with us. You’ll be responsible for:

• Rapidly building trust with clients, demonstrating technical expertise and understanding of their domain and objectives 
• Guiding technical direction, solving complex problems, and demonstrating best practices while remaining deeply engaged within the codebase
• Working pragmatically to balance technology choices while delivering high-quality work within deadlines
• Advising clients on architecture, scalability and platform evolution, connecting technical decisions to product and business outcomes
• Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring
• Driving innovation by proactively surfacing new technical approaches and product solutions
• Leading or initiating formal feedback conversations with teams and clients via retrospectives
• Clearly articulating and documenting outcomes and driving forward action items
• Contributing to the health of your team and 8th Light’s culture by modelling our Values
• Designing and managing high-level technical roadmaps for large engagements
• Building your network and maintaining relationships with clients and other industry leaders within your domain
• Coaching client engineering teams, transferring knowledge and leveling up practices
• Influencing client CTOs and executive decisions. Planning and execute technical work that involves stakeholders outside of project boundaries such as across a client's technical organization
• Participating in account planning; opportunity identification.
• Facilitating retrospectives, strategy sessions, and technical deep-dives to improve team and project outcomes
• Identifying, mitigating, and resolving blockers to team progress
• Contributing to 8th Light by serving as a mentor, leading or designing workshops internally or for clients, representing 8th Light in the tech community, or supporting our hiring processes
• Demonstrating leadership in scalable system design, modular architecture, and platform- or product-oriented development.
• Bringing depth in testing strategies, observability, fault tolerance, and secure engineering practices.
• Applying architectural patterns to evaluate tradeoffs and drive clear, documented design rationale.

Strongly Preferred Skills

We work across many areas, and encourage anyone with the experience listed above to apply. We would particularly like to encourage applicants with experience in the following areas:

• Delivering and advising on enterprise-grade AI systems, including RAG pipelines, vector search, and agentic frameworks (e.g., LangChain, LlamaIndex, Crew AI, AutoGen, n8n), ensuring scalable, production-ready solutions that empower developers and align with business outcomes.
• DevSecOps & DevOps
• MLOps
• Infrastructure as Code
• Data Engineering: including platforms like Databricks for data processing and analytics.

Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and we’re excited to keep learning and growing together. We have a proud tradition of hiring talented colleagues with real-world career experiences. 

How You’ll be Supported

At 8th Light, we believe our people are our greatest asset. Their growth, well-being, and success shape our future. 

• Our wellness package is designed with the Whole YOU in mind and includes:
• A robust L&D programme featuring unlimited access to thousands of books, courses, and expert-led training on the O'Reilly learning platform.
• Annual financial stipend and time allotment for learning & development
• Coworking support for our global team
• 12 weeks of new parent leave available for eligible employees

See our full list of Benefits. 

A Note on Compensation

At 8th Light, we are committed to a compensation philosophy that is transparent, fair, and helps us attract and retain top talent in alignment with our company’s strategic growth goals and clients’ needs.

We benchmark our salaries using Geographic Structures to establish competitive pay ranges within the regions where 8th Lights live. Our pay ranges for our Principal Engineer position within London is: £92-818-£116-122 GBP

Reach out to recruiting@8thlight.com for more relevant information pertaining to your local market.

8th Light Hubs and Geographies

8th Light's culture is rooted in strong connections that extend across our teams, regions, and beyond client work. We are a distributed team across the United States, Canada, and the United Kingdom, with hubs in Chicago, London, Los Angeles, New York, and Seattle. 

• London Co-working: Employees working from our London hub follow a hybrid model, which includes a minimum of one day per week in our Waterloo Office. This co-working day is designed to encourage collaboration and further strengthen our community.In most cases, our consulting engagements do not require travel.

We hope to see you apply! 

^#LI-Hybrid

About CircleCI Engineering

CI/CD has been solved. Now it's being reinvented. AI agents don't just run pipelines. They write code, trigger builds, interpret failures, and propose fixes. The interfaces that developers use to understand and trust that work don't exist yet. We're building them.

At CircleCI, our guiding principles aren't posters on a wall. We learn fast: we run experiments, accept failure, and scale what works. We think like the customer: every decision connects back to the developer sitting in front of a failing build at 2 am. We own the outcome: not just our slice of it, but the whole thing. If that's how you already work, you'll fit here.

Team-Agnostic Placement

We don't hire for a team. We hire for CircleCI. Where you land depends on where your strengths create the most leverage, and we figure that out together. You might own the CI pipeline experience, deploy and release tooling, notification infrastructure, monetization flows, AI agent surfaces, or the foundational web platform. The through line across all of it is the same: full-stack ownership, a high bar for craft, and work that directly shapes how tens of thousands of developers experience CircleCI every day.

What You'll Do

• Build AI-natively. AI is how we work. It’s not a productivity layer on top of engineering, but the default starting point for how problems get approached and solved.
• Invent new interfaces. Software delivery is being reinvented. Pipelines run autonomously, generate fixes, and surface results that need human judgment. The tools developers use to understand, trust, and act on that work don't exist yet. You'll define what they look like.
• Obsess over craft. Reliability and responsiveness are design concerns, not afterthoughts. Care about how the interface holds up when stakes are high.
• Champion observability. Use Honeycomb, Datadog, and Rollbar to understand and improve your systems. Operational data drives stability, not just incident response.
• Pick up slack. You'll notice gaps and close them — not because you were asked, but because that's the standard we hold ourselves to.

What You'll Bring

• AI-native engineering practices. You use AI tools daily and can speak to what you've built, where they changed your approach, and where they fall short. 
• A track record of shipping. You've built something real and put it in front of users. 3+ years of production full-stack, backend leaning experience.
• Backend depth. Strong backend expertise in Go, including API design, data modeling, and service integration, with the ability to contribute across the stack when needed.
• System design. You think about architecture, not just features. You make conscious tradeoffs and document your reasoning.
• Production mindset. Latency, responsiveness, and reliability are design concerns. You're comfortable operating services in a distributed environment.

Sound like you?

You've stopped waiting for AI to mature and are already building with it, not as a productivity trick, but as a core part of how you think about problems. You care about the product as much as the code. You're drawn to work where the patterns don't exist yet and the best answer requires you to invent it. If that's how you already operate, we want to talk.

About CircleCI Engineering

CI/CD has been solved. Now it's being reinvented. AI agents don't just run pipelines. They write code, trigger builds, interpret failures, and propose fixes. The interfaces that developers use to understand and trust that work don't exist yet. We're building them.

At CircleCI, our guiding principles aren't posters on a wall. We learn fast: we run experiments, accept failure, and scale what works. We think like the customer: every decision connects back to the developer sitting in front of a failing build at 2 am. We own the outcome: not just our slice of it, but the whole thing. If that's how you already work, you'll fit here.

Team-Agnostic Placement

We don't hire for a team. We hire for CircleCI. Where you land depends on where your strengths create the most leverage, and we figure that out together. You might own the CI pipeline experience, deploy and release tooling, notification infrastructure, monetization flows, AI agent surfaces, or the foundational web platform. The through line across all of it is the same: full-stack ownership, a high bar for craft, and work that directly shapes how tens of thousands of developers experience CircleCI every day.

What You'll Do

• Build AI-natively. AI is how we work. It’s not a productivity layer on top of engineering, but the default starting point for how problems get approached and solved.
• Invent new interfaces. Software delivery is being reinvented. Pipelines run autonomously, generate fixes, and surface results that need human judgment. The tools developers use to understand, trust, and act on that work don't exist yet. You'll define what they look like.
• Obsess over craft. Reliability and responsiveness are design concerns, not afterthoughts. Care about how the interface holds up when stakes are high.
• Champion observability. Use Honeycomb, Datadog, and Rollbar to understand and improve your systems. Operational data drives stability, not just incident response.
• Pick up slack. You'll notice gaps and close them — not because you were asked, but because that's the standard we hold ourselves to.

What You'll Bring

• AI-native engineering practices. You use AI tools daily and can speak to what you've built, where they changed your approach, and where they fall short. 
• A track record of shipping. You've built something real and put it in front of users. 3+ years of production full-stack, backend leaning experience.
• Backend depth. Strong backend expertise in Go, including API design, data modeling, and service integration, with the ability to contribute across the stack when needed.
• System design. You think about architecture, not just features. You make conscious tradeoffs and document your reasoning.
• Production mindset. Latency, responsiveness, and reliability are design concerns. You're comfortable operating services in a distributed environment.

Sound like you?

You've stopped waiting for AI to mature and are already building with it, not as a productivity trick, but as a core part of how you think about problems. You care about the product as much as the code. You're drawn to work where the patterns don't exist yet and the best answer requires you to invent it. If that's how you already operate, we want to talk.

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

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

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

Responsibilities

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

What we expect from you:

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

The Role

Neo4j GraphAcademy provides free, self-paced, hands-on online training paths for Developers, Data Engineers, and Data Scientists to achieve success with Neo4j.

We are looking for an enthusiastic Curriculum Developer to create engaging, hands-on online training courses, videos, and technical content that educate and empower Neo4j users of all experience levels.

You can view our existing course catalogue and get a feel for how we teach at graphacademy.neo4j.com.

Key Responsibilities

• Design and produce high-quality technical content (courses, videos, sample applications, diagrams) using existing Neo4j Documentation.
• Identify gaps in the course catalog, develop courses to cover them, and build clear learning paths for different graph use cases.
• Provide feedback on Neo4j offerings and course catalog to improve the user experience.
• Collaborate with the distributed Developer Relations, Marketing, Product Management, Solutions Engineering, and R&D teams.
• Be comfortable expressing complex subject matter clearly and simply, and working on camera.

Qualifications

• Must Haves:
• A background in education or technical writing.
• Able to demonstrate experience creating video content that uses visual aids to break complex content down into easy-to-understand content.
• Ability to research and develop training materials for users of all ability levels.
• An empathy for users and their learning experience.
• A strong command of the English language (writing and speaking).
• Experience working remotely.
• Nice to Have:
• Experience with Generative AI, Large Language Models, and GenAI frameworks.
• Experience with software development, databases, data engineering, or machine learning.

Specialities

We are seeking educators with expertise in one or more of the following domains. Candidates may have direct professional experience in the field or a background in technical education within these areas.

• Data Ecosystem Integration: Experience integrating or migrating data across major cloud platforms and data providers, such as Snowflake, Databricks, and Microsoft Fabric.
• Generative AI (GenAI): Deep expertise in GenAI, including building applications that utilize Retrieval-Augmented Generation (RAG) and Context Engineering principles.
• DevOps and System Administration: Experience in DevOps practices and administering large-scale systems.

Job Description: Technical Delivery Manager

Location: London, UK
Work Model: Full-time, onsite at customer location
Role Type: Customer-facing delivery leadership role

Role Summary

We are looking for a Technical Delivery Manager to lead complex technology delivery for a strategic enterprise customer in London. This role requires a strong combination of hands-on technical understanding, delivery ownership, client management, Agile execution, and cross-functional leadership.

The ideal candidate will manage end-to-end delivery across cloud, data, application modernization, AI-enabled engineering, and enterprise integration initiatives. The role is fully customer-facing and requires daily onsite collaboration with business, technology, product, architecture, and engineering stakeholders.

Key Responsibilities

Delivery Leadership

• Own end-to-end delivery across assigned programs, workstreams, releases, and sprint commitments.

• Drive planning, execution, risk management, dependency tracking, and stakeholder communication.

• Ensure delivery predictability across scope, schedule, quality, budget, and customer expectations.

• Manage delivery governance using Agile methodology, sprint ceremonies, release planning, retrospectives, and operational reporting.

• Maintain clear traceability of requirements, user stories, acceptance criteria, UAT sign-offs, defects, and production readiness.

Customer & Stakeholder Management

• Act as the primary onsite delivery interface for customer stakeholders.

• Build trusted relationships with business, product, technology, architecture, security, infrastructure, and operations teams.

• Translate business priorities into actionable delivery plans and technical execution roadmaps.

• Proactively communicate risks, blockers, trade-offs, and mitigation plans.

• Support executive-level reporting, steering committee updates, and escalation management.

• Identify growth opportunities and partner with internal team to build solution proposals

Technical Oversight

• Provide technical leadership across cloud, data, application, integration, and DevOps workstreams.

• Work closely with architects, engineers, QA, DevOps, and data teams to validate technical design and delivery feasibility.

• Ensure alignment with enterprise architecture, security, privacy, data residency, and operational standards.

• Review technical dependencies across applications, data pipelines, APIs, environments, and CI/CD processes.

• Drive production-readiness reviews, performance validation, monitoring, and support handover.

Engineering & Agile Execution

• Lead sprint planning, backlog grooming, daily standups, sprint reviews, and retrospectives.

• Manage delivery through tools such as JIRA and/or Azure DevOps.

• Ensure stories are well-defined, estimated, prioritized, and linked to business outcomes.

• Track velocity, capacity, defects, risks, dependencies, and release burn-down.

• Promote disciplined engineering practices, including code quality, peer review, automation, testing, and deployment controls.

Data, Cloud & DevOps Delivery

• Manage delivery across modern data platforms and cloud-native environments.

• Coordinate data engineering, transformation, ingestion, analytics, and reporting workstreams.

• Oversee CI/CD pipeline execution, environment readiness, deployment planning, and release validation.

• Support operational readiness through monitoring, observability, incident response, and continuous improvement.

Required Technical Experience

Strong working knowledge across modern enterprise technology delivery, including:

• Cloud & Platform: Microsoft Azure, AKS, Azure Container Apps, Azure Monitor, Azure SQL, Cosmos DB, Azure Data Lake, Fabric / OneLake.

• Data & Analytics: Databricks, Unity Catalog, Azure Data Factory, PySpark, Python, SQL, Power BI, data pipelines, transformations, reconciliation, and data quality.

• Application & Integration: .NET / .NET Core, Angular, REST APIs, microservices, authentication, authorization, and secure enterprise integration.

• DevOps & Delivery Tools: JIRA, Azure DevOps, GitHub, CI/CD pipelines, release management, environment management, automated testing, and deployment governance.

• AI-Enabled Engineering: Exposure to GitHub Copilot, Claude, Codex, Lovable, or similar AI tools supporting SDLC acceleration, code generation, testing, and productivity improvement.

Required Skills & Qualifications

• 10+ years of experience in technology delivery, software engineering, data platforms, or cloud transformation.

• 5+ years in a delivery management, technical program management, or technical project leadership role.

• Strong experience managing enterprise customers in an onsite, high-touch delivery model.

• Proven ability to lead distributed engineering teams across onsite, nearshore, and offshore locations.

• Strong understanding of Agile delivery, sprint execution, release governance, and production deployment practices.

• Ability to challenge teams constructively on estimates, technical approach, quality, and delivery risks.

• Excellent communication skills with the ability to engage both technical teams and senior customer stakeholders.

• Strong problem-solving mindset with ability to manage ambiguity, dependencies, and escalations.

• Experience in regulated, enterprise, audit, financial services, or professional services environments is preferred.

Preferred Experience

• Experience working with large global enterprise customers.

• Prior exposure to audit, risk, compliance, financial services, or professional services platforms.

• Experience managing cloud data platform programs using Azure, Databricks, Fabric, and Power BI.

• Experience with modernization programs involving .NET, Angular, APIs, microservices, and cloud-native deployment.

• Familiarity with operational support, production readiness, observability, performance testing, and incident management.

• Experience driving value-based delivery, productivity improvement, and AI-enabled engineering adoption.

Key Success Measures

• Predictable sprint and release delivery.

• Strong customer confidence and stakeholder satisfaction.

• Clear governance across scope, backlog, UAT, defects, and release readiness.

• Improved delivery quality, reduced rework, and stronger production stability.

• Effective coordination across business, product, engineering, QA, DevOps, and operations teams.

• Proactive risk management and transparent executive communication.

Ideal Candidate Profile

The ideal candidate is a hands-on technical delivery leader who can operate comfortably with senior customer stakeholders while also engaging deeply with engineering teams. They should be able to manage delivery pressure, bring structure to ambiguity, challenge teams constructively, and ensure that commitments are met with quality and transparency.

This is not a purely project management role. It requires someone who understands technology delivery in depth and can lead from the front in a complex, customer-facing enterprise environment.

Role Title: IT Infrastructure / Platform Services Intern

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

Length of Internship: 8 weeks

Start Date: 15th June - 7th August 2026

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

Student Type: Penultimate or Final Year students

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

About the Role: 

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

Main duties & responsibilities:

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

Students will gain: 

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

Person specification:

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

Nice to have: 

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

^{Your responsibility will involve:}

• ^{Delivering production-ready, reliable, and scalable infrastructure on time}
• ^{Improving developer experience and define technical standards for the entire company}
• ^{Designing, deploying, and managing scalable, secure, and resilient cloud infrastructure on AWS and Azure.}
• ^{Collaborating with engineering and security teams to define cloud architecture and implement best practices.}
• ^{Automating cloud operations with infrastructure as code using tools such as Terraform.}
• ^{Monitoring cloud infrastructure performance, identify issues, and implement solutions to ensure high availability and reliability.}
• ^{Optimising cloud resources for cost-efficiency while maintaining performance and security standards.}
• ^{Engaging in incident response and troubleshooting efforts for cloud-related issues.}
• ^{Staying up-to-date with the latest cloud technologies and trends, and providing recommendations for continuous improvement.}

^{Minimum Requirements:}

• ^{5 years of relevant professional experience - preferably coming from a software engineering background.}
• ^{Strong Python programming.}
• ^{Experience with Kubernetes in production and containerisation.}
• ^{Proven experience with CI/CD and release management - Azure DevOps or GitHub Actions preferable.}
• ^{Hands-on experience managing a cloud production environment in AWS or Azure.}
• ^{Infrastructure as Code (IaC) experience using Terraform.} 
• ^{Bachelor’s degree or Master’s in Computer Science, Engineering, a relevant technical field or equivalent practical experience.}

^{Preferred Requirements:}

• ^{Proficiency in one of the following programming languages - Go, TypeScript/JavaScript.}
• ^{Familiarity with ArgoCD and GitOps practices for continuous deployment.}
• ^{Experience with Agile methodologies, such as scrum, kanban, and sprints.}
• ^{A love of learning and enjoyment in trying new things.}
• ^{Enjoys technical challenges and wants to contribute directly to solutions.}

^{We offer competitive compensation based on experience, expertise, and the level of responsibility. This role also includes equity, giving you the opportunity to share in the long-term success of the business.}

^{The listed expectations reflect what we're hiring for, so we encourage you to review the job description carefully.}

^Benefits

^{💰 Participation in the company’s employee share options plan}

^{🏝 Tenure-Based PTO: You will receive 25 holidays when you join and will gain an additional 1 day after 2 years of service, then 1 day each year until capped at 32 holidays}

^{🏡 Flexible working from home policy}

^{🌎 Work from outside of the UK for up to 6 months each year}

^{🫂TELUS Health EAP 24/7 - offers you and your chosen family confidential, judgment-free support for any work, health, or life challenge}

^{🧡 Enhanced parental leave}

^{🚲 Bike2Work scheme}

^{📚 Annual learning and development allowance}

^{🏡 We’re all about making WFH work for you - that’s why we offer a one-off WFH allowance when you join. Offering perks like noise-cancelling headphones or a comfortable desk chair to boost your comfort and focus!}

^{👨‍👩‍👧 Company-funded fertility and family-forming programmes}

^{🌸 Menopause care programme with Maven}

^{🏥 Private healthcare and dental cover, discounts on gym members and relaxation apps, and access to a range of mental health programs}

^{🌎 Sabbatical Program: 5-week paid sabbatical available after 5 years of employment}

Senior Enterprise Account Executive 

Black Duck helps organizations build secure, high‑quality software by minimizing risk and maximizing development speed. As a pioneer in application security, Black Duck delivers industry‑leading SAST, SCA, and DAST solutions that help teams identify and remediate vulnerabilities across proprietary code, open‑source components, and application behavior. With powerful tools, services, and deep expertise, Black Duck enables organizations to secure the modern software supply chain and strengthen DevSecOps practices. 

Role Summary 

The Senior Enterprise Account Executive (Hunter) is responsible for acquiring new enterprise customers, penetrating greenfield accounts, and driving net‑new revenue for Black Duck’s Application Security platform, with a primary focus on Software Composition Analysis (SCA) and open‑source risk management. 

This role is built for a high‑energy, high‑impact seller who excels at prospecting, competitive displacement, and closing complex enterprise deals. You will engage senior engineering, security, and DevOps leaders to position Black Duck as the strategic solution for modern software supply chain security. 

Core Responsibilities 

New Logo Acquisition & Revenue Growth:

• Own the full new‑business sales cycle—from prospecting and qualification to technical evaluation, negotiation, and close. 
• Build and execute territory plans targeting high‑value enterprise prospects across industries. 
• Identify and develop greenfield opportunities through outbound prospecting, partner collaboration, and market intelligence. 
• Drive competitive takeouts and position Black Duck as the preferred SCA and AppSec platform. 
• Consistently achieve new‑logo ARR targets and pipeline creation goals. 

Executive Engagement & Value Selling:

• Build multi‑threaded relationships with CISOs, CTOs, AppSec leaders, DevOps executives, and procurement stakeholders. 
• Lead executive‑level conversations around open‑source governance, SBOM strategy, and secure SDLC modernization. 
• Deliver compelling business cases that quantify risk reduction, compliance alignment, and developer productivity gains. 

Sales Execution & Deal Leadership:

• Run disciplined, high‑velocity sales cycles with strong qualification, forecasting accuracy, and CRM hygiene. 
• Partner with Sales Engineering to guide prospects through technical validation, PoCs, and integration discussions. 
• Navigate complex procurement processes, legal reviews, and multi‑stakeholder decision cycles. 
• Collaborate with Marketing and SDR teams to accelerate pipeline generation and campaign execution. 

Market Expansion & Thought Leadership:

• Represent Black Duck at industry events, conferences, and customer briefings. 
• Provide market feedback to Product and Marketing to influence roadmap and positioning. 
• Stay current on AppSec trends, regulatory pressures, and emerging software supply chain risks. 

Qualifications 

Required

• 7–10+ years of enterprise new‑business sales experience in cybersecurity, DevSecOps, developer tooling, or related technical domains. 
• Proven track record of hunting and closing large, complex enterprise deals with multi‑million‑dollar ARR impact. 
• Strong understanding of Application Security, SCA, SBOM, and modern software supply chain challenges. 
• Ability to engage both technical and executive audiences with credibility and confidence. 
• Exceptional prospecting, negotiation, and strategic selling skills. 

Preferred 

• Experience selling SCA or AppSec platforms (e.g., Black Duck‑style solutions, Snyk, Veracode, Checkmarx, GitHub Advanced Security). 
• Familiarity with CI/CD ecosystems (GitHub, GitLab, Jenkins, Azure DevOps, Bitbucket). 
• Background selling into Fortune 500 or global enterprise organizations. 

Success Indicators 

• Consistent attainment of new‑logo ARR and pipeline generation targets. 
• Strong competitive win rates and successful displacement of incumbent solutions. 
• Rapid expansion of Black Duck’s footprint within target industries and territories. 
• High‑quality forecasting and disciplined sales execution. 

The Principal Customer Success Manager is aligned at the customers' key stakeholder level, building and fostering strong relationships to help customers accelerate their digital journey. Customer Success Managers are working directly with customers that can vary in their market segment, size, solution complexity and life cycle, depending on the customers needs.

Responsibilities:

• Build and foster executive-level trusted advisor relationships with the customer’s IT, Engineering and Support organizations.
• Demonstrates hands-on PagerDuty Product knowledge by applying it to the customer's business priorities.
• Guide a customer on process, people and change management best practices to drive customers adoption of real time operations.
• Proactively identify risks to the customer achieving their stated business goals and work with the sales team to build a risk mitigation plan.
• Produce and execute a comprehensive adoption path of PagerDuty products, showing the current state, target future state with timeline.
• Deliver business value and innovation to a customer’s business by understanding the customers’ opportunity to reduce cost and drive growth.
• When appropriate, recommend additional expert services needed to drive success.
• Proactively communicate technical product changes, degradations, outages, end of life and other relevant updates.
• Represent the voice of the customer to inform our sales process or product roadmap.
• Lead the cross functional post sales team at PagerDuty, delivering a seamless experience on behalf of the customer.
• Prepare and facilitate business review meetings, training sessions, webinars, demos, and other strategic and supportive interactions.
• Predict and forecast risk, renewal and expansion within the customer portfolio.

Basic Qualifications:

• Experienced professional with 5-10 years relevant industry expertise.
• Experience building business value ROI models.
• Working knowledge in a SaaS business model.
• Strong knowledge of PagerDuty product and platform features and capabilities is highly desired.
• Strong understanding of IT enterprise architecture, DevOps principles and modern IT monitoring 
• Ability to travel to client sites as necessary

Preferred Qualifications:

• Strong consulting skills and proven results working as a trusted advisor to drive business value for customers.
• Thrive in a collaborative fast pace environment and as a part of a results oriented team.
• Ability to drive effective and influencing conversations at the C-level; facilitation of difficult discussions and adept at handling objections.
• Worked in a DevOps environment or with a company going through a transition to DevOps.

What You’ll Do:

The Monolith AI Platform Engineering Team at CoreWeave is responsible for building and scaling the data and workflow backbone that powers the world’s most advanced engineering simulation and AI workflows — our ambition is to become the super‑intelligent AI test lab for the engineering industry, helping customers ship science, faster. From high‑throughput data ingestion and feature pipelines to model training and real‑time inference, our platform delivers the performant, reliable, and trustworthy data foundation trusted by the world’s largest engineering companies.

The Senior DataOps Engineer II will own and drive all things data observability and operations across our client estate — building the practices, tooling, and culture that make Monolith’s data flows debuggable, auditable, and safe to evolve. You’ll sit at the intersection of platform engineering, data engineering, and reliability, implementing end‑to‑end lineage and DataOps practices while mentoring data producers and consumers on how to manage data as a first‑class product.

You’ll partner closely with Monolith’s Product, Engineering and forward‑deployed teams, as well as with CoreWeave’s infrastructure and AI platform groups, to turn fragmented, real‑world engineering data into well‑governed, observable, and operationally robust pipelines powering our SaaS platform and client‑specific deployments.

About the Role:

We’re seeking an Senior DataOps Engineer II who can act as the hands‑on owner for Monolith’s data observability and operational surface: from batch and streaming pipelines running on our platform, through to the lineage, quality, and runbooks that keep customer environments healthy.

You’ll define and roll out DataOps practices (CI/CD, infra‑as‑code, data SLOs, incident response) across the Monolith estate, implement end‑to‑end data lineage and observability, and serve as the go‑to mentor for engineering teams and client‑facing colleagues on best‑practice data management.

In this role, you will:

• Own Monolith’s Data Observability & Operations Surface
• Design and implement the end‑to‑end observability stack for data workloads (metrics, logs, traces, and data‑quality signals) across batch and streaming pipelines.
• Define and maintain operational SLOs/SLAs for critical data flows powering training, inference, and analytics, and ensure they are measurable and actionable.
• Build dashboards, alerts, and runbooks that allow engineers and on‑call responders to quickly detect, triage, and remediate data incidents.
• Standardise “golden paths” for how teams instrument pipelines, expose health signals, and respond to data‑related failures.

• Implement Data Lineage, Quality & Governance
• Deploy and maintain end‑to‑end data lineage for key domains — from client sources through transformations to features, models, and downstream analytics  so teams can debug, audit, and reason about change.
• Define and roll out data quality checks (schema, freshness, completeness, distribution, drift) and ensure failures integrate cleanly into alerting and incident workflows.
• Partner with Security, Compliance, and customer‑facing teams to encode data governance requirements (e.g., retention, residency, access controls) into our pipelines and tooling.
• Help shape metadata models and catalog conventions so that producers and consumers can reliably discover, understand, and use shared datasets.

• Enable DataOps Practices Across Teams
• Establish CI/CD patterns for data pipelines and related infrastructure, including testing strategies, promotion workflows, and change‑management guardrails.
• Drive adoption of infra‑as‑code for data infrastructure (e.g., pipeline orchestration, storage, observability components), reducing manual drift across environments.
• Define and continuously improve DataOps processes — incident response, post‑incident review, change review, on‑call rotations — with a focus on learning rather than blame.
• Evaluate and integrate best‑of‑breed DataOps and observability tooling where it accelerates our teams, balancing build vs. buy pragmatically.

• Partner Across Monolith, CoreWeave & Clients
• Work with Monolith platform, data, agent, and reliability teams to expose observability and lineage as shared services and patterns other engineers can build on.
• Collaborate with CoreWeave infrastructure and AI platform teams to leverage underlying storage, compute, networking, and observability in service of robust data flows.
• Serve as a technical escalation point for forward‑deployed and customer‑facing engineers when data issues cross service boundaries or require deeper architectural insight.
• Mentor data producers (product teams, integrations, forward‑deployed engineers) and data consumers (data scientists, analysts, client engineers) on resilient schemas, contracts, and operational practices.

Who You Are:

• Experience & Level
• Typically 5–6+ years of experience in DataOps, Data Engineering, DevOps/SRE for data platforms, or similar roles, including end‑to‑end ownership of production data pipelines and their operations.
• Proven track record of operating at Senior IC scope: leading cross‑team initiatives, introducing new practices/tooling, and improving reliability at the platform level.

• DataOps, Pipelines & Tooling
• Strong hands‑on experience designing, deploying, and operating data pipelines in production (batch and/or streaming), including failure modes, retries, and backfills.
• Practical experience with data orchestration and ETL/ELT tooling (e.g., Airflow, Dagster, dbt, Temporal, or similar) and comfort evaluating and integrating new tools where appropriate.
• Solid SQL and/or Spark skills and experience with at least one major analytical database or warehouse; familiarity with time‑series / telemetry data is a plus.

• Observability, Lineage & Data Quality
• Extensive experience implementing data observability — metrics, logging, tracing, dashboards, and alerting — for data‑centric workloads.
• Hands‑on work with data quality frameworks and/or observability platforms to monitor freshness, completeness, schema changes, and anomalies.
• Experience deploying and using data lineage or metadata/catalog solutions, and applying them to debugging, compliance, and change‑impact analysis.

• Platform, Infrastructure & Automation
• Comfortable working in containerised, cloud‑native environments (Kubernetes plus at least one major cloud provider); experience with GPU‑ or compute‑intensive workloads is a bonus.
• Strong automation mindset: infra‑as‑code, CI/CD, and configuration management for data infrastructure and observability components.
• Proficient in Python for building tooling, pipeline glue, and platform integrations; additional languages are a plus.

• Collaboration, Mentorship & Communication
• Clear communicator who can explain complex data flows and failure modes to both deeply technical and non‑specialist audiences.
• Experience mentoring engineers and data practitioners on better data management, observability, and operational hygiene — through documentation, examples, reviews, and office hours.
• Comfortable working in a fast‑moving, high‑ambiguity environment where we balance rapid iteration with the safety and reliability demanded by enterprise engineering clients.

Preferred:

• Experience in ML/AI platforms or MLOps environments where data pipelines power experimentation, training, and inference at scale.
• Background with test, simulation, or time‑series data (e.g., physical test benches, battery labs, automotive/aerospace R&D).
• Familiarity with feature stores, experiment tracking, or model registries and their interaction with upstream data pipelines.
• Prior work in multi‑tenant SaaS platforms, especially those with strong compliance, observability, and uptime requirements.
• Experience supporting or partnering closely with forward‑deployed / professional services teams in complex customer environments.

Wondering if you’re a good fit?

We believe in investing in our people, and value candidates who bring diverse experiences — even if you don’t tick every single box. Here are a few qualities we’ve found compatible with our team. If some of this sounds like you, we’d love to talk:

• Data‑obsessed operator – You care deeply about making data systems observable, predictable, and easy to reason about, not just “working most of the time.”
• Systems thinker – You enjoy mapping complex data flows across services, understanding failure modes, and designing for graceful degradation and rapid recovery.
• Pragmatic – You know when to build the ideal abstraction and when to ship the smallest change that meaningfully reduces risk or toil.
• Collaborative mentor – You get energy from helping other teams level up their data practices, and you can influence without heavy process or authority.
• Owner’s mindset – You feel responsible for the outcomes of the platform as a whole, not just the code you write, and you follow issues across boundaries until they’re truly resolved.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper‑growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best‑in‑Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking, and foster an environment that encourages collaboration and innovative solutions to complex problems. As we get set for takeoff, the organization’s growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

What You’ll Do:

The Monolith AI Platform Engineering Team at CoreWeave is responsible for building and scaling the data and workflow backbone that powers the world’s most advanced engineering simulation and AI workflows — our ambition is to become the super‑intelligent AI test lab for the engineering industry, helping customers ship science, faster. From high‑throughput data ingestion and feature pipelines to model training and real‑time inference, our platform delivers the performant, reliable, and trustworthy data foundation trusted by the world’s largest engineering companies.

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

About the Role:

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

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

In this role, you will:

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

Who You Are:

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

Preferred:

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

Wondering if you’re a good fit?

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams — even if you aren’t a 100% skill or experience match. If some of this describes you, we’d love to talk:

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

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper‑growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best‑in‑Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking, and foster an environment that encourages collaboration and innovative solutions to complex problems. As we get set for takeoff, the organization’s growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset.

The Logs family of products represents a strategic evolution in how organizations manage and analyze logs at scale while meeting stringent data residency, compliance, and cost requirements. The Product Solutions Architect (PSA) will work closely with Datadog customers, Logs Product team, and the CloudPrem product team to architect, implement best practices, and drive adoption of the log management suite.

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

What You’ll Do:

• Serve as the Product Expert on Logs, CloudPrem, and Observability Pipelines
• Offer guidance on architecture choices, data collection, and best practices to large Enterprise customers as they adopt these Datadog services across the organization at scale
• Design and validate hands-on, production-ready architectures spanning cloud infrastructure, Kubernetes platforms, and customer-managed environments
• Actively identify opportunities to simplify, optimize, and standardize deployment patterns, reducing operational complexity for customers through architectural guidance and best practices.
• Be a Trusted Advisor to Product Management by providing high quality feedback based on your field experience working closely with our Support, Partners, and Customers
• Capture repeat customer use cases and solutions and in turn publish Reference Architectures, automation patterns, and Implementation Guides for Datadog prospect and customer consumption
• Build world class training material, solutions briefs, blogs, and documentation to the wider Datadog field technical teams over the latest product features and capabilities
• Collaborate with other teams at Datadog including Marketing, Sales, Community, Documentation, and Evangelism to ensure the success of the Log Management product family
• Exercise the products you represent by building hands-on proof of concepts, small scale deployments  to validate solutions and reproduce customer environments
• Engage deeply with customers, feeling their operational pain points and driving solutions that measurably improve reliability, scalability, and day-to-day operations

Who You Are:

• Someone with strong hands-on experience with tools such as Kubernetes, including cluster architecture, networking, storage, and operational best practices.
• Someone with strong knowledge of cloud infrastructure fundamentals, including networking, compute, storage, and distributed system design.
• Someone familiar with Security, Governance, and Compliance requirements for industry verticals
• Someone who can dive deep into our Codebase, SDKs, and GitHub workflows to understand, debug, and influence product behavior
• Experience with languages like Python and/or Rust, and file formats such as JSON and YAML
• A self-starter, tech-savvy professional, who is comfortable working with bleeding edge technology and processes, even if it hasn’t been well defined
• A deep learner and a Subject Matter Expert today that has built advocacy and knowledge across multiple teams with the knowledge you possess 
• Fluent in understanding the observability market domain, competition, technological shifts, and customer needs
• Someone who values getting things done, taking ownership from problem definition through implementation and outcome
• Highly detail-oriented, especially when working on architectures, documentation, and customer-facing solutions
• A person who possesses exceptional listening and consultative skills, for both internal and external audiences
• Experienced working with customers in high pressure situations where the solution is sometimes not obvious - caring about customer pain and motivated to solve hard problems on their behalf
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train, or air up to 40% of the time 

Bonus Points:

• Successful track record with 5+ years experience working as an Architect or Consultant 
• Experience using Datadog and/or other observability tools in an SRE or DevOps capacity
• Have recent experience deploying solutions in production environments at scale
• Strong knowledge or experience with Splunk, Elastic, Opensearch, SumoLogic, Vector, Cribl, Quickwit

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

Benefits and Growth:

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

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

As an Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

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

What You’ll Do:

• Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Own technical engagement with customers during the trial phase. Communicate Datadog’s value based on activities and work with customers on any identified issues or concerns to successful conclusion
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Deliver product and technical briefings / presentations to potential clients
• Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
• Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

 Who You Are:

• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer
• Someone with strong written and oral communication skills. This role requires an ability to understand and articulate both the business benefits (value proposition) and technical advantages of our offering
• Experienced in programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc.
• Someone with a minimum of 3+ years in a Sales Engineering or DevOps Engineering role
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 45% of the time

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

Benefits and Growth: 

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

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

#LI-Remote

Senior Engineer

Location: Waterloo, London, England, UK | Hybrid (1 day per week in office)

Who We Are 

At 8th Light, we bring life to the best ideas.

Founded in 2006 and headquartered in Chicago, we are a technology solutions provider that partners with organizations to solve meaningful challenges and drive sustainable growth. From early-stage startups to global enterprises, we work across industries to optimise our clients’ digital products through product strategy innovation, experiential design, AI solutions, and deep engineering expertise. 

Our commitment to quality means we deliver solutions we’re truly proud of, while our curiosity sparks innovation and breakthrough thinking. 8th Lights thrive in an environment that champions continuous education, fueling our growth through mentorship and hands-on work. We foster an open and collaborative culture grounded in honesty that builds trust, and believe true success is measured by the outcomes we create for our clients.

If this kind of work and our kind of people energizes you, you’ve found the right place. 

Who You Are

You’ve shown repeated success on a variety of projects, typically over the course of 4+ years. You have a broad range of expertise that allows you to make an immediate impact on projects. In your previous experience, you have:

• Successfully contributed to high-stakes consulting engagements from discovery to production 
• Written production-quality code using a variety of languages and frameworks, that include: Python, Java, JavaScript, TypeScript, React, Ruby, Scala, R, SQL, and Go
• Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you’ve served 
• Leveraged AI-assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation, where appropriate
• Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) 
• Used context-appropriate automated testing to inform software design choices and catch bugs
• Debugged and refactored pre-existing code to incrementally improve it
• Collaborated with teams using Git, MacOS/Linux, and CI/CD
• Remedied architecture-level concerns such as scalability, security, reliability, and performance
• Contributed to forums that encourage idea sharing, collaboration, and problem solving
• Made thoughtful recommendations and set direction in the face of ambiguity
• Mentored and shared knowledge with colleagues
• Actively sought out and effectively given feedback
• Communicated empathically with stakeholders and colleagues
• Influenced stakeholders to balance technical considerations with product and user needs

What You’ll Do At 8th Light

As a senior technologist on projects, you’ll work with a variety of clients, typically one to two in a year, through a variety of technologies and frameworks over the course of your career with us. You’ll work with colleagues who share your passion for technology solutions. You’ll invest time developing your skills and sharing what you know. You’ll be responsible for:

• Making immediate contributions to projects, rapidly building trust with your clients and team
• Working pragmatically to balance technology choices while delivering high-quality work within deadlines
• Contributing to architecture and software design discussions
• Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring
• Generating new potential solutions to challenges (technical and non-technical) in partnership with team members and clients
• Contributing to formal feedback conversations with teams and clients via retrospectives
• Clearly articulating and documenting outcomes and driving forward action items
• Regular syncs with your delivery team to provide status updates, and for identifying and evaluating risks and presenting potential solutions
• Identifying, mitigating, and resolving blockers to team progress
• Pursuing opportunities to further your skills to grow your career and keep pace with the rapid changes within the technology industry 
• Contributing to your team culture by building connections with your fellow 8th Lights, showing up on camera, and leveraging collaboration opportunities, such as coworking spaces and local team gatherings, where appropriate

Strongly Preferred Skills

We work across many areas, and encourage anyone with the experience listed above to apply. We would particularly like to encourage applicants with experience in the following areas:

• MLOps: including tools like LangChain for application development and managing the ML lifecycle
• Data Engineering: including platforms like Databricks for data processing and analytics
• DevSecOps & DevOps
• Infrastructure as Code

Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and we’re excited to keep learning and growing together. We have a proud tradition of hiring talented colleagues with real-world career experiences. 

How You’ll be Supported

At 8th Light, we believe our people are our greatest asset. Their growth, well-being, and success shape our future. 

Our wellness package is designed with the Whole YOU in mind and includes:

• A robust L&D programme featuring unlimited access to thousands of books, courses, and expert-led training on the O'Reilly learning platform.
• Coworking support for our global team
• 12 weeks of new parent leave available for eligible employees
• Transparent semi-annual promotion panel

See our full list of Benefits. 

A Note on Compensation

At 8th Light, we are committed to a compensation philosophy that is transparent, fair, and helps us attract and retain top talent in alignment with our company’s strategic growth goals and clients’ needs.

We benchmark our salaries using Geographic Structures to establish competitive pay ranges within the regions where 8th Lights live. Our pay ranges for our Senior Engineer position within London is: £56,640-£70,800 GBP.

Reach out to recruiting@8thlight.com for more relevant information pertaining to your local market.

8th Light Hubs and Geographies

8th Light's culture is rooted in strong connections that extend across our teams, regions, and beyond client work. We are a distributed team across the United States, Canada, and the United Kingdom, with hubs in Chicago, London, Los Angeles, New York, and Seattle. 

• London Co-working: Employees working from our London hub follow a hybrid model, which includes a minimum of one day per week in our Waterloo Office. This co-working day is designed to encourage collaboration and further strengthen our community.In most cases, our consulting engagements do not require travel.

We hope to see you apply! 

_#LI-Hybrid

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

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

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

 Objectives of this role:  

• Be a force for automation within the low latency network team at DRW 

• Bring Devops best practices to the Low latency network team 

• Automate software release processes for software and new hardware 

• Build CI/CD pipelines, automate deployments, manage infrastructure as code, and optimize network engineering workflows 

• Become the SME for our virtualized and containerized/cloud deployments 

• Own the single source of truth and its network data models 

• Design, prototype and bring to production any framework required to achieve your mandate 

 Day to Day responsibilities:  

• Build and maintain CI/CD pipelines for network configurations and changes (repo, test, validate, deploy). 

• Collaborate with Network Engineering team to standardize network designs, device catalogs, and topology models (e.g., NetBox, IPAM). 

• Develop automation for day-to-day network tasks (device onboarding, upgrades, backups, policy enforcement) and self-service capabilities for internal teams. 

• Advocate and work with the operations team on best practices around automation 

• Support all of our VM, cloud and bare metal deployments 

• Own our automation backlog to identify and automate repetitive tasks 

• Ensure security and compliance in automation pipelines (RBAC, secrets management, least privilege, audit logging, change control). 

• Create automated tests, dry-runs, and validation steps to prevent unintended changes (linting, pre-change checks, anomaly detection). 

• Maintain runbooks, standard operating procedures, and documentation for network automation and procedures. 

• Participate in an on-call rotation 

• Support scheduled after-hours maintenance 

  Required skills and qualifications 

• At least 5 years of experience working as a DevOps, NetDevOps or as a site reliability engineer  

• Bachelor's degree in Computer Science, Information Systems, Networking, or related field, or equivalent practical experience. 

• Devops certified with at least one of the following providers: AWS, Azure, GCP, DCA, CKA, Red Hat, LFCS or Cisco Devnet 

• Proficiency in Python (or another scripting language) for automation and tooling. 

• Strong Linux system administration skills 

• Proficiency with git, GitHub Actions, GitLab CI 

• Strong experience in configuration management/automation (Ansible or similar) or Infrastructure as Code (Terraform)  

• Experience with cloud networking (AWS, Azure, GCP) and hybrid cloud architectures. 

• Experience with Virtualization / Hypervisors: Proxmox , VMware 

• Experience with containerization tools such as Docker, Kubernetes or OpenShift 

• Experience with monitoring and logging tooling (Prometheus, Grafana, Telegraf, ELK/Elastic, Splunk) 

• Solid understanding of network fundamentals (BGP, VLANs/VXLANs, VRF, ACLs, QoS) and device ecosystems (Cisco, Juniper, Arista, Fortinet, etc.) 

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

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

[#LI-KS1] 

About the Position: 

As a Staff DevOps Engineer, you’ll take the lead in building and maintaining the cloud infrastructure that powers our products. You’ll be responsible for architecting, implementing, and optimizing scalable, secure, and high-performance systems that support a dynamic and fast-growing tech stack - from React and Next.js applications to Python data pipelines, orchestrated across a complex AWS ecosystem.

This role combines traditional DevOps responsibilities with a strong focus on Release Engineering and infrastructure governance, ensuring reliable and scalable software delivery as we grow. You’ll work closely with cross-functional teams, including engineers and product managers, to streamline development workflows, improve deployment reliability, and ensure system resilience and observability.  As the team scales rapidly, you’ll play a key role in defining infrastructure standards, best practices, and policies that enable engineering teams to move fast while maintaining stability and security. You’ll also play a key role in driving information security and compliance initiatives across infrastructure and operations, ensuring that our systems are built with security and regulatory readiness from the ground up. 

This role is remote in UK.  

What you’ll be doing: 

• Design and maintain AWS infrastructure using best practices (e.g., IaC, security, cost optimization, monitoring). 
• Define and implement infrastructure standards, policies, and governance (e.g., IAM, group permissions, access control) 
• Develop, operate, and improve CI/CD pipelines using GitHub Actions and other tools to support fast and safe deployment of our applications and services. 
• Collaborate with engineering teams to define infrastructure requirements and help shape deployment strategies for frontend and backend applications. 
• Proactively monitor system performance, availability, and reliability. Implement observability tooling and incident response processes. 
• Automate provisioning, scaling, and recovery of infrastructure using tools like Terraform. 
• Identify and resolve infrastructure bottlenecks (e.g., database scaling, system performance constraints). 
• Lead initiatives around infrastructure security and compliance, including access control, vulnerability management, secrets management, encryption, and audit readiness.
• Ensure systems meet relevant security and compliance standards (e.g., ISO 27001, SOC 2, GDPR), and support internal and external audits. 
• Mentor engineers on DevOps best practices, advocate for clean and scalable infrastructure design, and help build a strong engineering culture. 

Qualifications: 

• Proven experience in a DevOps, Site Reliability, or Infrastructure Engineering role, ideally in a startup or product-focused environment. 
• Deep expertise in AWS services (EC2, ECS, Lambda, RDS, S3, IAM, SQS, SNS etc.) and cloud-native architecture. 
• Strong experience with CI/CD tools and practices, ideally GitHub Actions. 
• Proficiency with infrastructure-as-code tools (Terraform) and scripting languages (Python, Bash). 
• Familiarity with containerization (Docker) and orchestration (ECS/EKS/Kubernetes). 
• Solid understanding of networking, security best practices, and system performance monitoring. 
• Experience implementing and managing security controls and compliance requirements (e.g., ISO 27001, GDPR, SOC 2), including hands-on work with identity management, encryption, and audit logging. 
• Experience supporting modern web stacks, especially applications built with React, Next.js, and Python-based services. 

About Bluefish: 

Bluefish believes that AI represents the next major chapter of the internet – and that consumers will increasingly use AI to consume information and media online. On this new AI internet, brands will need new tools and technologies to tell their stories to consumers online – and a new marketing ecosystem will be created around AI. Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage AI brand safety and engage consumers with thoughtful and personalized AI marketing experiences.  

The Bluefish team is a tight-knit group of mar-tech industry veterans who previously helped build foundational ad-tech platforms now owned by Meta and Microsoft. Bluefish, the leading AI marketing platform for the Fortune 500, recently announced a $43 million Series B growth financing co-led by Threshold Ventures and NEA with participation from multiple enterprise investors including Amex Ventures, TIAA Ventures, Salesforce Ventures, and continued participation from Bloomberg Beta. We are a globally distributed team, with business operations based in New York City and engineering based in Europe and New York.   

Why Bluefish & Our Values: 

• Unique opportunity to join on the ground floor of a fast-moving startup building at the center of AI  
• Tackle challenging and abstract problems while disrupting the $300BN legacy mar-tech industry  
• Join an experienced high-performing team where you will have immediate ownership and impact  
• Experience a true meritocracy with significant career growth upside as the business scales  

Our Values: 

• Demonstrated grit and resourcefulness - you find creative solutions, adapt quickly, and aren’t afraid to roll up your sleeves in a fast-paced, evolving environment. 
• Thoughtful and strategic thinker with the ability to anticipate needs, ask the right questions, and deliver insights that truly drive value. 
• Proven ability to collaborate across functions and roles, fostering open communication and shared ownership of outcomes. 
• Commitment to craftsmanship - you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind. 
• Self-starter with a proactive mindset and a strong sense of accountability - able to drive projects forward independently while staying aligned with team goals. 
• Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done. 

Why we're hiring:

We are seeking an experienced and highly organised Senior Programme / Product Delivery Lead to strengthen delivery leadership within the People Data & Insights team. This pivotal role will own the end-to-end delivery orchestration for WPP's global people data product, ensuring work is prioritised, sequenced, and delivered consistently across multiple dependencies and diverse stakeholders.  

 This role is critical for improving delivery confidence and enabling leadership to focus on strategic direction and future state design, thereby reducing the current reliance on senior leadership for day-to-day coordination and escalation. 

What you'll be doing:

• Own and maintain the integrated delivery plan for the global people data product across all critical workstreams (e.g., core data, reporting, regulatory compliance like EU Pay Transparency, integrations with Workday and other systems, analytics).
• Proactively identify, manage, and mitigate dependencies, risks, and delivery trade-offs across various groups, including business platforms, people operations, and other enterprise initiatives.
• Act as the primary escalation point for delivery issues, ensuring timely decision-making and providing clear direction to overcome obstacles.
• Translate overarching strategic priorities and product vision into executable delivery plans, concrete milestones, and measurable outcomes.
• Coordinate delivery efforts seamlessly across engineering, analytics, and diverse stakeholder groups (People/HR teams, Enterprise Technology, Network representatives) to ensure alignment, maintain momentum, and drive progress.
• Establish and continuously refine effective ways of working, delivery frameworks, and road-mapping processes to enhance efficiency and predictability.
• Ensure transparent and consistent communication regarding delivery status, challenges, and successes to all relevant stakeholders, including senior leadership. 

What you'll need:

• Experience in programme management, product delivery, or a senior project management role within a data, technology, or complex enterprise environment.
• Proven track record of successfully orchestrating and delivering complex data or technology products across multiple teams and geographical locations.
• Strong understanding of agile methodologies and experience implementing pragmatic delivery approaches.
• Exceptional organizational skills with the ability to manage integrated delivery plans, dependencies, and risks across various workstreams.
• Demonstrated ability to translate strategic vision into actionable plans and tangible deliverables.
• Excellent communication, negotiation, and conflict resolution skills, capable of influencing and engaging diverse technical and non-technical stakeholders at all levels.
• Experience in identifying and resolving complex delivery issues, providing clear direction under pressure.
• Familiarity with data platforms, data warehousing, and analytics concepts (e.g., Databricks, dashboarding, data pipelines).
• Ability to work effectively in a fast-paced, global, and matrixed organization. 

Preferred:

• Experience within HR technology, People Analytics, or Human Capital Management (HCM) systems (e.g., Workday).
• Understanding of data governance, data quality, and compliance-driven data projects (e.g., GDPR, EU Pay Transparency).
• Experience with product management concepts and road-mapping for data products.
• Proficiency with project management and collaboration tools (e.g., Jira, Confluence, Azure DevOps).
• Experience leading or mentoring junior project/programme managers or delivery leads

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid 

Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA team, you will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that fuels centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization.

This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development. The data engineering day-to-day will primarily be within the data platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:

• Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.

• Develop engineering expertise  within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL data replication & data pipelines on large & often complex data sets 

• Build & maintain data quality metrics & observability to help drive data quality standards

• Learn about existing systems and  processes across Data Platforms, Data Engineering and Data Governance

• Troubleshoot data pipelines, platform automations, data access system.

• Help field and troubleshoot various community questions and challenges

• Own, maintain and enhance data operation processes, monitoring & data quality systems

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with bringing ideas for platform and process improvements 

• Help contribute to the ongoing documentation of internal systems and processes

Requirements: 

• 2+ years of relevant experience in Data Engineering / Data Platform Engineering

• Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake a plus

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Experience in building data models

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision

Dataiku is looking for a Data Engineer II to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA Team, you will play a central role in delivering data to fuel analytics, AI, and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the Data Platform that fuels centralized analytics, Generative AI engineering, embedded analytics teams, and self-service users across the organization.

You will become a technical expert on the various platforms we work in and help drive engineering excellence both within the EDA team and across the wider Analytics Community. The Data Engineering day to day will primarily be within the Data Platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. Strong software development lifecycle knowledge and DataOps skills are a must. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client-facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts! Your responsibilities within the team include but are not limited to:

• Be an expert level engineer within the Dataiku Platform including Platform Automation, GenAI Capabilities, Plugin Development, maintenance & troubleshooting

• Be an expert  level engineer within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL based platform automation process

• Build & maintain data quality metrics & observability to help drive data quality standards

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Build & maintain GenAI Platform platform solutions focused on security and governance for engineering delivery

• Build & maintain DataOps process for SDLC delivery

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help drive technical & architectural decisions on the data platform including decisions on data architecture, data engineering processes, data quality frameworks, data access security & governance frameworks, DataOps processes & data consumption models.

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with dedicated innovation time & projects that aim to be transformational for either the platform, team or company as a whole.

• Actively contribute to the expertise level and competencies of the EDA Team and participate in the creation and support of data development standards and best practices. 

Requirements : 

• 3+ years of relevant experience in Data Engineering / Data Platform Engineering

• Expertise in SQL & Python is a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake strongly desired

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Strong understanding of data architecture & data modeling concepts

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform.  Ability to create clear and concise documentations with a high degree of precision

We believe “It’s all about the user. All of them.” We’re passionate about providing a seamless one-stop experience for business travelers, no matter how they travel, where they stay, or where they’re going.

We are looking for a Staff Full-Stack Engineer to lead the design and development of mission-critical product features and services that power our platform, used daily by thousands of travelers worldwide. You will play a pivotal role in shaping technical direction, mentoring engineers, and driving cross-team initiatives to deliver scalable, reliable, and user-focused solutions.

What You’ll Do

• Lead technical strategy and architecture for core backend and frontend components of the platform, ensuring scalability, reliability, and performance.
• Own complex domains end-to-end: from design through development, launch, and ongoing evolution of key microservices and customer-facing features.
• Influence cross-functional teams (engineering, product, design) by aligning technical execution with business goals and long-term product vision.
• Raise the technical bar through code reviews, architectural guidance, and fostering best practices in testing, monitoring, and documentation.
• Mentor and coach engineers across the organization, helping to grow technical skills and leadership capabilities.
• Partner with leadership to define and execute a multi-year technical roadmap, ensuring that platform investments support company growth at scale.
  
  

What We’re Looking For

• 5+ years of software development experience, with deep expertise in both backend and frontend systems.
• Strong programming skills and CS fundamentals, with mastery in at least one backend language (Java, Python, etc.) and modern frontend frameworks (React, Angular, TypeScript).
• Proven experience designing and evolving large-scale distributed systems and microservice architectures.
• Demonstrated ability to own technical domains, making architectural trade-offs and long-term design decisions.
• Experience driving cross-domain initiatives, coordinating with multiple teams to deliver cohesive solutions.
• Track record of mentoring engineers, leading technical discussions, and influencing outcomes at an organizational level.
• Experience with cloud platforms (AWS preferred), CI/CD pipelines, and modern DevOps practices.
• Passion for solving complex problems, continuously learning, and delivering customer-focused innovations.
• Excellent communication skills with the ability to influence technical and non-technical stakeholders alike.
  
  

About the role:

We’re seeking a talented Senior Security Engineer with hands-on experience deploying, managing, and operating modern Vulnerability Management platforms. In this role, you’ll work alongside technical product managers and engineers across the company to maintain Samsara’s Vulnerability Management infrastructure and de-risk software vulnerabilities to better protect our customers.

We seek someone who is passionate about leveraging automation to enhance efficiency, is enthusiastic about working with infrastructure-as-code, and has a wealth of experience collaborating with teams to reduce software vulnerabilities. Your contributions will be critical to shaping our overall security and compliance strategy. At Samsara, we value working backwards from winning as an operating principle. Your ability to define success and work with cross-functional stakeholders by working backwards to reach that success is pivotal. 

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, and countless opportunities to experiment and master your craft in a hyper-growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best. 

In this role, you will: 

• Lead and own ongoing operation and maintenance of Samsara’s vulnerability management program, ensuring consistent execution of processes.
• Assist in managing vulnerability scanning tools and help refine detection capabilities to improve accuracy and reduce false positives.
• Work closely with the Vulnerability Technical Program Manager to generate and distribute monthly and quarterly compliance reports.
• Collaborate with engineering teams to track and support the remediation of identified vulnerabilities, providing guidance on best practices.
• Assist in analyzing and triaging vulnerabilities, escalating critical issues to senior security engineers or Security Operations as needed.
• Participate in security incident investigations related to high-profile vulnerabilities, helping gather data and assess potential impact on Samsara infrastructure.
• Contribute to documentation and process improvements to streamline vulnerability management workflows.
• Champion Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) in daily work.
• Be regularly on call to support

Minimum requirements for the role:

• 6+ years of relevant experience with demonstrated impact for security engineering and vulnerability management in an enterprise environment. 
• Significant experience with vulnerability management tooling, in particular modern toolsets such as Wiz, or Semgrep.
• Deep subject matter expertise with security engineering best practices for subjects such as CVSS, EPSS. 
• Strong familiarity with common security vulnerabilities and the ability to judge their severity and impact on the business.
• Excellent development background with experience in Python or GoLang.
• Strong DevOps, DevSecOps, or SRE background with experience in AWS cloud services, and Terraform
• Experience using security automation platforms such as Tines and serverless frameworks such as AWS Lambda.
• Deep understanding of Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), or Software Composition Analysis (SCA) 

An ideal candidate also has:

• Practical experience managing vulnerabilities within a FedRAMP-certified environment.
• Experience integrating vulnerability management into modern CI/CD pipelines with a “shift-left” mentality.

Why you should join the SMS International team that is part of Mobile Platforms

The Mobile Platforms team at Klaviyo is responsible for empowering the over 150,000 Ecommerce clients we work with on a global scale to deliver effective experiences on mobile devices. This team focuses on performance optimization and continuous development of our Mobile Marketing Channels (SMS, Push Notifications, In App Messages, WhatsApp and RCS), Mobile SDKs (iOS, Android and React Native). While Email was how Klaviyo began, Mobile messaging is truly the way of the future.

The SMS International team within Mobile Platforms is responsible for the expansion of SMS capabilities into new countries and regions and is also spearheading the development of RCS as a new capability to be offered to customers alongside existing channels. We have an ambitious roadmap for 2026 that puts the team at the heart of the company’s objectives and it is an exciting time to join the team!

About the Role

As a Fullstack Software Engineer II joining the SMS International team you will be working with a team of 5 other colleagues to deliver RCS and SMS International expansion to meet the company’s objectives. You will get the chance to build brand new services, understand how they fit into the bigger picture and plan how to architect and scale them successfully to serve our customers. 

Technologies we use (not exhaustive):

• Python, Django, Go, React, SQS, Celery, MySQL, DynamoDB, Elasticache, Redis
• Amazon Web Services (EC2, RDS, Aurora, etc.), Terraform, Kubernetes, Splunk, Buildkite, Grafana, Chronosphere and other modern DevOps tools

What we are looking for

• 3-5 years of experience in a software engineering discipline
• Experience with full stack application development
• Experience working with both monolithic and microservices architectures
• Experience with database design that can withstand high query volumes
• Experience with CI/CD pipelines
• Experience debugging performance issues and improving application performance
• An interest and aptitude for collaboration across teams and disciplines

Nice to Have

• Experience creating new services with scalability in mind. Exposure to large-scale system design
• Experience with AWS or any similar cloud provider
• Communication domain experience

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Senior Data Engineer 

Who we are

Artefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have over 2000 employees across 26 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

Job Summary

We are looking for a Senior Data Engineer to join our dynamic team. This role is ideal for someone with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment. 

Key Responsibilities

• Design, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging any of the following: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark.
• Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms.
• Implement continuous integration and continuous deployment (CI/CD) practices for data pipelines to improve efficiency and quality of data processing.
• Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations.
• Oversee and manage a team of data engineers, providing guidance and mentorship to ensure high-quality project deliverables.
• Develop and enforce best practices in data governance, security, and compliance within the organisation.
• Optimise data retrieval and develop dashboards and reports for business teams.
• Continuously evaluate new technologies and tools to enhance the capabilities of the data engineering function.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
• 3+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies.
• Expertise in building scalable data workflows using cloud-native orchestration tools and distributed data processing frameworks.
• Demonstrated experience with Infrastructure as Code tooling such as Terraform
• Solid understanding of CI/CD principles and DevOps/DevSecOps practices.
• Proven leadership skills and experience managing data engineering teams.
• Excellent problem-solving skills and the ability to work with ambiguity.
• Proficient in leveraging AI-assisted workflows to optimise task efficiency.
• Strong communication and interpersonal skills.
• Excellent understanding of data architecture involving data mesh, data lake, data warehouse and data lakehouse.

Preferred Qualifications:

• Certifications in Azure, AWS, or GCP.
• Certifications in Databricks, Snowflake or similar technologies.
• Experience in the leading large scale data engineering projects.

Working Conditions

• Hybrid work arrangement: two-three days per week working from the office

Senior Data Engineer 

Who we are

Artefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.

We have over 2000 employees across 26 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

Job Summary

We are looking for a Senior Data Engineer to join our dynamic team. This role is ideal for someone with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment. 

Key Responsibilities

• Design, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging any of the following: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark.
• Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms.
• Implement continuous integration and continuous deployment (CI/CD) practices for data pipelines to improve efficiency and quality of data processing.
• Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations.
• Oversee and manage a team of data engineers, providing guidance and mentorship to ensure high-quality project deliverables.
• Develop and enforce best practices in data governance, security, and compliance within the organisation.
• Optimise data retrieval and develop dashboards and reports for business teams.
• Continuously evaluate new technologies and tools to enhance the capabilities of the data engineering function.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
• 3+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies.
• Expertise in building scalable data workflows using cloud-native orchestration tools and distributed data processing frameworks.
• Demonstrated experience with Infrastructure as Code tooling such as Terraform
• Solid understanding of CI/CD principles and DevOps/DevSecOps practices.
• Proven leadership skills and experience managing data engineering teams.
• Excellent problem-solving skills and the ability to work with ambiguity.
• Proficient in leveraging AI-assisted workflows to optimise task efficiency.
• Strong communication and interpersonal skills.
• Excellent understanding of data architecture involving data mesh, data lake, data warehouse and data lakehouse.

Preferred Qualifications:

• Certifications in Azure, AWS, or GCP.
• Certifications in Databricks, Snowflake or similar technologies.
• Experience in the leading large scale data engineering projects.

Working Conditions

• Hybrid work arrangement: two-three days per week working from the office

Department Overview: 
The Engineering department is the backbone of Copper; entrusted with the critical responsibility of building and securing the infrastructure that safeguards billions of dollars in digital assets. We operate at the intersection of traditional institutional finance and decentralized blockchain technology.

Team Purpose: 
We believe the best infrastructure comes from curious minds working openly together. Our engineering organisation brings together people with diverse backgrounds and experiences who genuinely enjoy solving hard problems. We foster a blame-free, intellectually honest environment where you're encouraged to take thoughtful risks and think big. You'll have the autonomy to own meaningful projects while gaining the support you need to grow your skills and advance your career.

Role Purpose: 

We're looking for a site reliability engineer at the intersection of software development and systems engineering. In this role, your focus will be delivering the reliability, performance, and uptime our clients depend on, whilst continuously improving how our systems operate.

Day-to-day, you'll tackle complex infrastructure challenges through a combination of thoughtful engineering and considered automation. Rather than fighting fires, you'll work to prevent them. You'll analyse system capacity and performance, identify bottlenecks, and build solutions that scale across our department, not just one team.

You will collaborate closely with the DevOps team, but focusing primarily on reliability engineering, operational excellence, and production readiness across the broader engineering org.

Key Responsibilities: