Role Overview:

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

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

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

What you'll be doing:

Strategic Leadership

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

Data Engineering Excellence

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

Multi-functional Collaboration

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

Innovation & Efficiency

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

What we're looking for:

Experience and Technical Expertise

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

Benefits:

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

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

About the Role

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

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

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

This role is ideal for engineers who want to:

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

Responsibilities

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

Requirements

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

Nice to Have

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

Role Overview

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

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

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

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

You will:

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

Ideally, you have:

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

Role Overview

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

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

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

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

You will:

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

Ideally, you have:

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

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

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

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

Your Future Role within QRT

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

Your Present Skill Set

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

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

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

Your future role within QRT

We are seeking pragmatic and commercially-oriented Reliability Engineers with strong C++ development skills to join our team. The ideal candidate will have a robust background in technology and a keen interest in solving business problems. This role is crucial for maintaining the reliability and performance of our systems, ensuring they meet the high standards required in the financial industry.

What you will do:

• Design, implement, and maintain scalable and reliable systems
• Monitor system performance and troubleshoot issues to ensure optimal operation
• Collaborate with development teams to improve system reliability and performance
• Develop and implement automation tools to streamline operations
• Ensure security and compliance standards are met
• Provide technical support and guidance to other teams

Requirements

• Proven experience in site reliability engineering or a similar role
• Strong understanding of system architecture and cloud technologies
• Proficiency in C++ development, with additional knowledge of Python or C# being a plus. 
• Experience with monitoring and logging tools
• Excellent problem-solving skills and attention to detail
• Ability to work in a fast-paced, dynamic environment
• Commercially oriented mindset with a focus on business outcomes
• Experience working on the buy side is a significant positive. 
• Experience with low latency order entry or market data systems is highly desirable. 
• Prior experience in the finance industry is preferred but not required. 

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees 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 Network Engineering function responsible for the design, reliability, and optimisation of QRT’s wide-area network. The team supports large-scale routing infrastructure and collaborates closely with stakeholders across operations, systems engineering, and automation to ensure robust connectivity for global research and trading activities. 

Your Future Role within QRT 

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

Your Present Skillset 

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

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

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: Engineering Manager (Site Reliability)

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

Reporting to: Head of Technology Operations

The Role

The Platform and Reliability Engineering Teams are responsible for the services that underpin the Rightmove website and enable all of our product development teams to ship functionality rapidly and safely. We strive to deliver annual availability of at least 99.99% (less than 5 mins downtime a month).  

The Site Reliability Engineering Manager’s role is to ensure operational excellence, drive observability and reliability at scale, and own the incident management processes and tools. 

This position blends people leadership, full stack reliability engineering, service management, influencing without authority. The successful candidate brings strong technical experience in reliability engineering, monitoring, alerting and observability for product‑led technology companies combined with strong customer empathy and communication skills. 

Monitoring, Alerting, and Observability 

• Product teams have high reliability confidence, incident detection and resolution are smooth due to proactive monitoring, well‑maintained alerts/logs and high levels of observability coverage. 
• Clear reliability expectations between platform, security, product & business. Prioritisation based on reliability risk and real data.  

Incident Management 

• Consistency and standardisation of incident management resulting fast incident detection and resolution
• Maintaining a culture of accountability, transparency, collaboration & learning
• Good data quality, insights & decision‑making with strong feedback loops to all relevant stakeholders 

Reliability Engineering 

• Clear reliability patterns and standards drive strong reliability and fewer cascading failures. E.g. probes, graceful termination/degradation, timeouts, retries, backoff, jitter, circuit breakers, bulkheads. 
• Shared understanding how our system fails, where any weak points are with prioritised improvement plans in place. 

Delivery and Execution 

• Own and manage reliability roadmap and metrics, initiatives/projects, and OKR delivery in line with expectations.
• Align reliability strategy and delivery plans with business goals, partnering with technical product manager, DX, CF, DBA, security, product and data teams. 

People Leadership & Team Development 

• Supports team with objectives and growth plans to improve skills, confidence, and impact aligned with business objectives
• Guides engineers in designing scalable, secure, resilient platform services
• Create an inclusive, psychologically safe environment; tailor leadership to individual strengths and motivations. 

What you’ll bring  

• Proven experience in site reliability engineering management, overseeing observability, monitoring, reliability, and service delivery in production environments.
• Understanding of reliability in distributed software microservices and cloud-based environments.
• Experience implementing and running modern SRE tooling and incident management workflows, SRE service management frameworks e.g. SLO/SLIs.
• Familiarity with platform engineering concepts including developer platforms, reusable platform components, reducing friction for product teams.
• Experience improving operational processes and developing documented procedures (monitoring, DR, incident response, upgrade processes).
• Leadership, team management, collaboration and communication skills, aligned with expectations for managing technical/engineering teams.  

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.

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.

Token Factory is a part of  Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale. To deliver on that promise, we need an engineer who can make the platform behave flawlessly under extreme load and recover gracefully when the unexpected happens.

In this role you will own the reliability, performance, and observability of the entire inference stack. Your day starts with designing and refining telemetry pipelines — metrics, logs, and traces that turn hundreds of terabytes of signal into clear, actionable insight. From there you might tune Kubernetes autoscalers to squeeze more efficiency out of GPUs, craft Terraform modules that bake resilience into every new cluster, or harden our request-routing and retry logic so even transient failures go unnoticed by users. When incidents do arise, you’ll rely on the automation and runbooks you helped create to detect, isolate, and remediate problems in minutes, then drive the post-mortem culture that prevents recurrence. All of this effort points toward a single goal: scaling the platform smoothly while hitting aggressive cost and reliability targets.

Success in the role calls for deep fluency with Kubernetes, Prometheus, Grafana, Terraform, and the craft of infrastructure-as-code. You script comfortably in Python or Bash, understand the nuances of alert design and SLOs for high-throughput APIs, and have spent enough time in production to know how distributed back-ends fail in the real world. Experience shepherding GPU-heavy workloads — whether with vLLM, Triton, Ray, or another accelerator stack — will serve you well, as will a background in MLOps or model-hosting platforms. Above all, you care about building self-healing systems, thrive on debugging performance from kernel to application layer, and enjoy collaborating with software engineers to turn reliability into a feature users never have to think about.

If the idea of safeguarding the infrastructure that powers tomorrow’s multimodal AI energizes you, we’d love to hear your story.

Senior Product Marketing Manager

London

Full-time

In office 4 days/week

• Are you looking for a high-ownership role defining how a fast-growing payments automation platform shows up in its highest-value industries?
• Can you balance rigor with pace, and strategy with hands-on craft?

If so, we would love to hear from you! 

Who We Are

Modulr is the payments automation platform that streamlines money movement with accuracy, control and reliability – built to scale. We process more than 200m transactions and over £180bn in payment value on an annualised basis, and we're trusted by over 6,000 businesses from fast-growing SMEs to global enterprises.

We automate how money moves into and out of a business – payroll, supplier payments, spend management and payment collection – through a single platform, connected to the accounting and payroll systems finance teams already use and underpinned by principal memberships of Visa and Mastercard and direct access to central bank infrastructure.

As a regulated payments provider with over a decade of experience, we're the platform finance teams trust to run mission-critical operations. Modulr is backed by PayPal, FIS, General Atlantic, Blenheim Chalcot, Frog Capital and Highland Europe, with over 400 employees across London, Edinburgh, Amsterdam and Mumbai.

Find out more about us on our website and careers site. 

What You’ll Do

 Positioning & Narrative

• Define sharp, differentiated positioning for Modulr's Travel and Lending solutions – grounded in deep customer insight, competitive understanding and a clear point of view on where we win.
• Translate a technically rich payments platform into clear, compelling messaging that resonates with finance, operations and commercial buyers.
• Set a high bar for narrative consistency and storytelling craft across every vertical touchpoint.

Vertical Go-to-Market

• Lead end-to-end GTM strategy and execution for Travel and Lending.
• Build a scalable model for how Modulr enters, expands and doubles down in industry verticals.
• Partner with Product on roadmap prioritisation, shaping what gets built and how it reaches the market.

Sales Enablement & Revenue Impact

• Arm the commercial team with assets that really move deals – pitches, sales decks, one-pagers, demo narratives, competitive battlecards and win stories.
• Support the team on driving measurable improvements in pipeline quality, win rates and deal velocity in your verticals.
• Work closely with Sales leaders to translate customer insights into messaging and enablement that reflects how buyers really make decisions.

Market & Customer Intelligence

• Build a deep understanding of each vertical – buyer personas, buyer journeys, regulatory context, competitive landscape and unmet needs.
• Synthesise customer conversations, win/loss and usage data into actionable insights that shape product, marketing and sales decisions.
• Become the person leaders across Modulr turn to when they need a clear read on a vertical.

Launches & Campaigns

• Own launch plans for new vertical propositions and product updates – from positioning to activation across web, events, press and demand generation.
• Partner with Brand, Content and Demand Generation to turn vertical narratives into campaigns that build category authority and pipeline.
• Drive the quality and consistency of vertical storytelling across the website and key growth surfaces.

What you’ll need

• Experience. 6+ years in product marketing or product strategy in B2B SaaS, fintech or payments – with a strong track record of marketing to mid-market and enterprise buyers. Vertical or industry-led GTM experience is a significant plus; payments or fintech experience is preferred but not required for the right generalist.
• Strategic thinking. You form sharp points of view, work from first principles, and can turn complex, ambiguous inputs into a clear strategic direction.
• Storytelling & craft. An exceptional communicator who can make a technically rich product feel simple, differentiated and genuinely compelling – to finance leaders, operators and commercial teams alike.
• Commercial orientation. You think in terms of pipeline, win rates and revenue – not just launches and assets. You partner naturally with Sales and are energised by driving commercial outcomes.
• Technical fluency. Comfortable engaging credibly with Product and Engineering on how the platform actually works, and confident translating that into buyer value.
• Influence & ownership. You lead cross-functionally without needing authority, push work forward through ambiguity, and elevate the quality of everyone around you.
• High expectations. You hold a high bar on messaging precision, visual presentation and the quality of what goes out the door. You use data to make decisions, measure impact and iterate quickly.

What We Offer You

• Share Options – We offer a Company Share Option Plan (CSOP), giving you the opportunity to benefit from any increase in share value in the event of a sale, merger, or flotation.
• Bonus – Our annual discretionary bonus, paid in May for the previous year, is based on both company and individual performance.
• Flexible benefits - £1000 to spend on benefits to suit you, including private medical insurance, gym membership, dental etc. 
• Wellbeing app – confidential, on-demand access to therapy, coaching, counselling, management training or mindfulness sessions with accredited professionals, with company-funded hours and top-up options available.
• Holidays - 33 days annual leave (including bank holidays) plus your birthday off. In the UK, Christmas Day, Boxing Day, and New Year’s Day are fixed holidays. You can choose the remaining days to suit your personal schedule.
• Learning opportunities- Our two-day onboarding program, ModStart, helps equip you for success. Learning doesn’t stop there; we’ll continue to support your development through various channels.  
• Company-Wide Events - Participate in collaborative and engaging events with colleagues across the business.
• Bike to work / E-bike scheme

ModInclusion 

At Modulr, we’re committed to building a diverse, equitable and inclusive culture where everyone feels they belong and can bring their whole self to work. We welcome applications from candidates of all backgrounds as we believe it’s the right thing for our people, our business, and the community we operate in.

By submitting your CV, you consent to us using your personal data to assess your application, contact you, or share your CV with relevant hiring managers. You can request removal of your data at any time by emailing peopleops@modulrfinance.com - though this will withdraw you from consideration for the role.

At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

One of the projects we’re working on within the JetBrains Innovation Hub is the AppGlass, a product for safe, AI-first debugging of production systems. It will help engineering teams investigate issues in real environments with a strong focus on safety, reliability, security, low overhead, and practical AI integration. That means it’s a mix of JVM tooling, program analysis, and AI at the core. Check out our demo and website to get a better sense of how it works.

About the role

We are looking for a Senior Software Engineer with strong enterprise JVM experience. This role is a good fit for someone proactive and excited by complex engineering challenges at the intersection of production systems, developer tools, and AI agents.

In this role, you will:

• Design, build, and lead the development of product features.
• Develop tooling and automation for AI-first engineering workflows.
• Work on enterprise integrations and deployment scenarios across Kubernetes and cloud environments.
• Improve reliability, testing, performance, and security for production use.

We’d like to have you on the team if you:

• Have extensive experience with Java, Kotlin, and JVM systems.
• Have worked on enterprise backend software, infrastructure, or developer tooling.
• Are comfortable with Kubernetes and cloud environments.
• Take ownership, communicate clearly, and move things forward without waiting for perfect specs.
• Enjoy using AI in development, while validating results with solid engineering discipline.

We’ll be especially thrilled if you:

• Have experience with debugging, instrumentation, or observability-related tools.
• Have experience with .NET or Python backend products.
• Care deeply about developer productivity and engineering quality.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-REMOTE 
#LI-KT1

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.

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

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

We manage four main storage platforms, namely:

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

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

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

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

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

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

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

Who we are looking for

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

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

Senior Engineering Manager, London 

Your impact 

Reporting directly to the Head of Engineering, you will be responsible for the strategic direction, execution, and operational excellence of our Platform teams, which are enabling training and serving of the largest foundations models in biotech. These teams include Technical Infrastructure, Machine Learning Platform, Site Reliability team and Developer Experience for Research. This is a highly influential role that requires a blend of deep technical expertise, strong leadership capabilities, and a passion for fostering a high-performance engineering culture. Your work has the potential to accelerate cutting edge research in the drug design space.

What you will do

• Define and execute the long-term vision and strategy for our foundational infrastructure, aligning with company goals and anticipating future needs.

• Lead, mentor, and inspire a diverse team of engineering managers and individual contributors across multiple disciplines (ML Platform, Tech Infrastructure, SRE). Foster a culture of innovation, collaboration, continuous learning, and accountability.

• Oversee the development and evolution of our core platform, ensuring it provides robust, scalable, and developer-friendly services for all engineering teams. This includes aspects like service mesh, container orchestration, CI/CD pipelines, and internal tooling.

• Lead the teams responsible for building and maintaining the underlying systems that power our user-facing applications, focusing on performance, reliability, and seamless user experiences.

• Guide the development and operation of the infrastructure supporting our prediction models, ensuring high availability, low latency, and efficient data processing for machine learning initiatives.

• Drive the strategy and execution for our core technical infrastructure, including networking, compute, storage, and data centers (on-prem and/or cloud). Optimize for cost, performance, and security.

• Champion and embed SRE principles across the organization. Oversee the SRE team responsible for ensuring the reliability, scalability, and performance of our critical systems through proactive monitoring, incident management, and automation.

• Establish and enforce best practices for infrastructure operations, including monitoring, alerting, capacity planning, disaster recovery, and security. Drive continuous improvement in system stability and uptime.

• Partner closely with product engineering teams, security, data science, and other stakeholders to understand their needs and deliver foundational solutions that accelerate product development and innovation.

• Evaluate and manage relationships with key internal partners to ensure optimal value and performance.

• Manage the budget for the Foundations Engineering organization, optimizing resource allocation and identifying cost-saving opportunities.

Skills and qualifications 

Essential:

• Experience in software engineering, with a significant portion focused on ML infrastructure, platform, or site reliability engineering.
• Demonstrated experience in a leadership role, managing multiple engineering teams and managers.
• Deep understanding of distributed systems, cloud architectures (AWS, Azure, GCP), and modern infrastructure technologies.
• Proven experience with running horizontal Platform Engineering teams
• Strong background in Site Reliability Engineering (SRE) principles and practices, including incident management, observability, performance optimization, and automation.
• Familiarity with data infrastructure and systems supporting machine learning/prediction models.
• Excellent communication, interpersonal, and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
• Demonstrated ability to attract, hire, retain, and develop top engineering talent.
• Strategic thinker with a proven ability to define and execute complex technical roadmaps.
• Strong problem-solving skills and a data-driven approach to decision-making.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Nice to have: 

• Experience in a high-growth, fast-paced environment.
• Experience building and scaling infrastructure for Biotech, Life science ADD

About The Team:

We’re looking for a Senior Demand Planning Analyst who is as comfortable writing SQL as they are explaining a forecast miss to a Procurement Director. This is a hybrid role: part data engineer, part forecaster, part cross-functional operator.

You’ll own the demand signal that drives every operational decision at HelloFresh, from how much food we buy to how many staff we schedule and how many trucks we book. Your forecasts directly determine food waste, labour costs, and customer experience for millions of meals across Europe.

Our Demand Planning team is transitioning from a legacy operating model to a unified, automated, data-driven global function. You will bridge that gap — building the next-generation forecasting capabilities while keeping daily supply chain execution accurate and agile.

What You’ll Do

Build & Automate Forecasting Systems

• Write and maintain SQL queries daily to extract, validate, and transform demand data across cloud data platforms (e.g., Databricks, BigQuery, Snowflake).
• Develop and refine forecasting models in Python, applying statistical and machine learning techniques — from simple trend and seasonality models through to more advanced approaches as the function matures.
• Design dashboards and automated reporting using visualisation tools (e.g., Tableau, Power BI) that give stakeholders self-service access to demand insights.
• Work alongside forecast engineers to architect scalable pipelines, ensuring local market nuances are handled without breaking the unified codebase.
• Build “What-If” scenario simulations (e.g., “What if we run an aggressive promo in a key European market next week?”) to stress-test operational capacity and quantify supply chain risk.

Own the Demand Plan

• Generate and validate daily and weekly demand plans for European markets. You are the guardian of the Decision-Time forecast — the plan must be accurate at the exact moment Procurement and Production need to act.
• Monitor trends, seasonality, and promotional impacts. Proactively flag when the plan needs adjusting and communicate changes before they surprise the supply chain.
• Implement data validation and QA checks to ensure forecast reliability, with alerting for anomalies.

Drive Cross-Functional Alignment (S&OP)

• Drive cross-functional alignment and play a key role in the weekly S&OP planning cycle with Market Leadership, Logistics, Production, and Procurement — ensuring the forecast is shaped by stakeholder inputs and shifting the conversation from error reporting to risk management and strategic alignment.
• Partner with Marketing to ensure growth campaigns and promotions are reflected in the demand view before they hit the supply chain.
• When deviations occur, go beyond surface metrics: diagnose root causes, quantify impact, and deliver actionable insights that prevent recurrence.

What We Need

Required Technical Skills

• SQL: Fluent. You write complex queries daily — joins, window functions, CTEs — and are comfortable working in cloud data platforms (e.g., Databricks, BigQuery, Snowflake).
• Python: Good working knowledge. You can write and maintain scripts for data manipulation, forecasting, and analysis. You don’t need to be a software engineer, but you’re confident using Python to solve analytical problems.
• Visualisation: Experience building dashboards in tools such as Tableau or Power BI to make data accessible to non-technical stakeholders.
• Excel/Google Sheets: Advanced. Still essential for ad-hoc analysis and stakeholder communication, but not your primary tool.

Required Domain Experience

• 4+ years in Demand Planning, Supply Planning, or Supply Chain Analytics. E-commerce, food retail, or FMCG experience is strongly preferred — perishable/short shelf-life experience is a significant plus.
• Strong grasp of forecasting techniques: you understand bias, accuracy metrics (MAPE, WMAPE), trend decomposition, and how to evaluate model performance holistically.
• Experience forecasting in environments with limited historical data (newer markets, product launches) using proxy data and trend smoothing.
• Proven ability to manage demand and supply risks: proposing mitigations (buffers, caps, swaps) and communicating complex trade-offs to senior stakeholders.
• Comfortable with project tools like JIRA/Confluence for managing backlogs and improvement roadmaps.
• Strong communication skills: you can present forecast insights, explain variance drivers, and articulate trade-offs clearly to both technical and non-technical audiences, ensuring alignment across functions.

What you will get in return:

● 70% off HelloFresh or Green Chef boxes
● Company pension scheme
● Gym membership
● Bupa private medical insurance (including dental & family cover options)
● Electric vehicle scheme
● Mental health first aiders and an employee assistance programme
● Dog friendly office! (London site only)
● Nursery support scheme
● Cycle to work scheme
● Group Life Assurance

Location: The HelloFresh Farm, 60 Worship Street, EC2A 2EZ, London or any other international HelloFresh market

To be considered for this role, you’ll need to have the independent right to work in the UK, as we're unfortunately unable to provide sponsorship at this time.

Hybrid Working Policy
We offer a hybrid working policy for eligible roles, allowing flexibility to work from home and in the office. For more details on eligibility and how this applies to the role you're applying for, please consult with our recruiter.

Next steps: Your application will be reviewed and if successful, a member of the Talent Acquisition Team will be in touch within 2 weeks. 

About The Team:

At HelloFresh, we are changing the way people eat forever. We are looking for a Senior Demand Planner to join our Central Planning Team, driving strategic forecasting and technical innovation across the UK and International markets while acting as the operational heartbeat of selected European markets. Seeking a data-savvy pro with strong SQL skills to unlock insights and drive smart decisions!

You will play a pivotal role in our Operations, moving from fragmented local forecasting to a unified, automated, and data-driven global model. You will also own the demand signal that drives every operational decision - from how much food we buy (Procurement) to how many staff we schedule (Production) and how many trucks we book (Logistics).

The Mission:

The Demand Planning team is transitioning from a legacy operating model into a Predictive Intelligence function. Our vision is to evolve from reactive demand estimation to active supply chain shaping, leveraging data to anticipate market shifts, mitigate risk, and optimize operational costs.

You will bridge the gap between legacy operations and predictive intelligence. This role has a critical dual objective:

1. Strategic Architecture & Innovation: Driving the innovation required to architect the standardized forecasting tools, demand simulation frameworks, and future-state processes that will unlock scalable growth across International markets.
2. Operational Execution & Continuity: Ensuring flawless operational continuity for Ireland forecasting, protecting service levels and optimizing costs during this transition.

Ultimately, you will ensure that while we build the next generation of automated planning pipelines, our daily supply chain execution remains agile, accurate, and highly efficient.

What You Will Be Doing:

Strategic Improvement

• Drive Standardization: Establish a unified, model-driven demand planning architecture. You will manage the planning process to strictly limit manual overrides, ensure real-time communication with key stakeholders and proactively take actions to correct the forecast.
• Automated Ecosystem Transition: Drive the shift toward an automated pipeline. Work alongside forecast engineers to design robust solutions that support an efficient, scalable process, ensuring local nuances are handled without breaking the unified code base.
• Scenario Modeling & Innovation: Work with Data Science to refine our Confidence Range Forecasts and Scenario Simulations. Build "What-If" scenarios (e.g., “What if we run an aggressive promo in Ireland next week?”) to stress-test operational capacity and mitigate supply chain risk.

Cross-Functional Stakeholder Management (S&OP)

• Lead the S&OP Rhythm: Facilitate the weekly planning cycle with local stakeholders such as Market leadership, Logistics, Production and Procurement. You will shift the focus from simple error reporting to comprehensive risk management and strategic alignment.
• Commercial & Marketing Alignment: Partner with Marketing to align on customer conversions and retention. You will ensure that growth campaigns are accurately reflected in the Expected Demand view before they hit the supply chain.
• Deep Dive Diagnostics: When deviations occur, you will move beyond surface-level metrics. Your role is to explain the key drivers of the variance to provide actionable insights that prevent recurrence.

Operational Forecasting & Plan Ownership

• Drive the Transition to an Automated Ecosystem: Drive the shift toward an automated, robust ecosystem (using tools like Python, Databricks, and Streamlit as examples). You will not just use these tools; you will work alongside forecast engineers to design robust solutions that support an efficient, scalable process, ensuring local nuances are handled without breaking the unified code base. 
• Own the Number: Generate and validate daily and weekly demand plans for Ireland. You are the guardian of the Decision-Time forecast, ensuring the plan is accurate at the exact moment Procurement and Production need to act, without relying on rigid timelines but rather on operational readiness.
• Manage Trends & Operational Agility: Monitor changes in trends and the need for quick operational adaptations. You will incorporate performance metrics, not only to track stability but to implement stakeholder discipline, ensuring that changes are communicated promptly and the organization adapts efficiently.

Who You Are:

You are a hybrid: part analyst and planner, part diplomat, and part strategic change agent. You know a demand plan is useless if it simply reports numbers without driving action. You ensure every plan reconciles conflicting cross-functional needs, championing structural transformation through deep insights and a proactive understanding of error and risk.

Must-Haves:

• Experience: 4+ years in Demand Planning, Supply Planning, or Data Analytics, preferably in e-commerce, food retail, or FMCG (short shelf-life/perishable experience is a massive plus).
• Tech Stack: You are ready to leave spreadsheets behind. Proficiency in SQL is required. Experience with Python (pandas, forecasting libraries) and Visualization tools (Tableau/Streamlit) is strongly preferred as we transition to our automated pipelines. 
• Analytical Rigor: You possess strong analytical skills and a problem-solving, forward-looking mindset. You understand how to evaluate performance holistically and are proficient in forecasting techniques.
• Young Market Mindset: You are comfortable with ambiguity. You know how to forecast in environments with limited historical data (like our newer markets) by using proxy data and trend smoothing.
• Project Management & Delivery: You can plan and sequence initiatives across markets, handling ambiguity and frequent reprioritisation. You have a track record of prioritising and landing a roadmap of improvements.
• Risk & Change Management: You proactively anticipate demand and supply risks. You are experienced in proposing mitigations (buffers, caps, swaps) and communicating complex trade-offs to senior stakeholders to protect service and cost.
• Project & Data Tools: Advanced Excel/Google Sheets skills are essential. You are comfortable using JIRA/Confluence (or similar) for managing backlogs and requirements.
• Quality & Monitoring: Experience with data validation/QA frameworks, alerting systems, and SLA tracking to ensure forecast reliability.

Soft Skills:

• Influence: You can hold your ground with Senior Stakeholders (Head of Operations, Procurement Directors) when challenging their numbers or explaining a forecast miss.
• Clarity: You can translate complex statistical concepts (e.g., "algorithm bias") into business impact (e.g., "we need to buy 10% more chicken").
• Stakeholder Leadership: You possess strong stakeholder management skills, influencing across Marketing, Procurement, Finance, and Tech. You ensure alignment across diverse functions.

What you will get in return:

● 70% off HelloFresh or Green Chef boxes
● Company pension scheme
● Gym membership
● Bupa private medical insurance (including dental & family cover options)
● Electric vehicle scheme
● Mental health first aiders and an employee assistance programme
● Dog friendly office! (London site only)
● Nursery support scheme
● Cycle to work scheme
● Group Life Assurance

Location: The HelloFresh Farm, 60 Worship Street, EC2A 2EZ, London or any other international HelloFresh market

To be considered for this role, you’ll need to have the independent right to work in the UK, as we're unfortunately unable to provide sponsorship at this time.

Hybrid Working Policy
We offer a hybrid working policy for eligible roles, allowing flexibility to work from home and in the office. For more details on eligibility and how this applies to the role you're applying for, please consult with our recruiter.

Next steps: Your application will be reviewed and if successful, a member of the Talent Acquisition Team will be in touch within 2 weeks. 

Location: UK or Portugal

Department: Engineering

Employment Type: Permanent

About YLD:

Our goal is to help our clients keep moving forward. We work with them to build the skills and capabilities they need to stay ahead of the competition, and we know our success only happens when they succeed. We’re a team of curious, talented people, and we’re committed to making YLD a place where great people want to work, grow, and stay. We’re a remote-first consultancy specialising in software engineering, product design, and data. Our teams are based across London, Lisbon, and Porto, and we create digital solutions that continue to deliver value long after our work is done.

About the role:

As a Senior Data Engineer, you’ll be part of a client team building innovative products. We expect you to be curious, passionate, driven, and enthusiastic. You’ll be proficient at problem-solving, and crafting scalable, resilient, and fault-tolerant architectures. You’ll be an effective communicator and a team player. You and your team will move in a fast-paced engineering environment, achieving outstanding results and delivering exciting projects.

About you:

A YLD Senior Data Engineer is a highly skilled engineer who spans across data engineering and analytics engineering, and knows where the boundaries sit. You've built pipelines and transformation layers. You've inherited messy data projects and made them good. You have opinions about how data teams should work and the humility to adapt them to context.

You have a real passion for the craft and are an active learner who gets excited by the variety that consultancy brings: different clients, different stacks, different problems.

Your day-to-day responsibilities will look like this:

• Delivering data work on client engagements: pipelines, transformation layers, models, and the infrastructure around them
• Adapting to different client contexts, legacy warehouse migrations, greenfield lakehouses, struggling transformation layers that need rescuing
• Defining and evolving our internal standards for data work: testing, documentation, project structure, code review
• Mentoring and growing data engineers across the company
• Showing up for client team moments (internal speakers, learning sessions, social events) to build strong working relationships.
• Contributing to proposals and helping shape engagements during the sales process
• Representing YLD externally through writing, speaking, and contributing to the wider data community.

You’ll have the following skills and experience:

• SQL as engineering: You write SQL that's reviewable, testable, and performs at scale. You understand query planning, engine quirks, and how materialisation choices affect cost and performance
• Python for data: You write typed, testable Python for pipelines and tooling. You've built and maintained production data systems, not just notebooks
• Data modelling: You've made deliberate choices between dimensional, Data Vault, normalised, and denormalised designs. You can explain those trade-offs in terms of flexibility, query performance, and maintainability
• Transformation architecture: You design transformations that are idempotent, incremental, and dependency-aware. You think in DAGs, not scripts
• Pipeline design: You understand batch, streaming, and micro-batch trade-offs. You consider latency, complexity, cost, and reprocessability. And choose the right approach for the problem
• Data testing: You write tests as code, schema contracts, assertions, and transformation logic. You know what to catch at build time vs. defer to observability
• Data observability: You treat data reliability like site reliability. Measurable indicators, alerting, incident response, and root cause analysis
• CI/CD for data: You version, test, and deploy pipelines like software. Environment promotion, rollback strategies, and infrastructure as code for reproducible environments
• Data governance: You've implemented lineage, cataloguing, sensitive data classification, or access control. Not just built pipelines, but made them auditable and secure
• Cost-conscious: You've optimised warehouse spend, storage strategies, or job efficiency. You treat compute as a resource to manage, not ignore
• Platform fluency: You've worked across the modern stack. Orchestration (Airflow, Dagster), warehouses (Snowflake, BigQuery, Databricks), ingestion (Fivetran, Airbyte, custom), and transformation (dbt, Spark)
• Cross-functional fluency: You translate engineering constraints into business terms and negotiate realistic commitments

You’ll be:

• Self-motivated and proactive
• Comfortable with ambiguity, experimentation, and iteration
• Collaborative by default. You work well in teams and across teams
• Analytical and detail-oriented in your approach to problems
• Comfortable context-switching across clients, stacks, and problem types
• Willing to shape engagements, not just deliver them: contributing to proposals, scoping, and client relationships
• Active in the wider data community: writing, speaking, or open-source contribution
• Genuinely committed to diversity, equity, and inclusion

Benefits you'll get:

• Company Private Health care
• Enhanced fully paid maternity and paternity leave for up to 6 months
• Company’s Pension Scheme (UK Only)
• 25 days annual holiday (excluding Public Holidays)
• £2000/€2000 annual allowance for Training/Conferences
• £300/€300 annual allowance for additional hardware
• Wellbeing & Performance Support via Oli including Therapy and Coaching
• Discretionary Bonus (depending on Company performance and results)
• Company laptop
• Generous referral schemes

Our typical Recruitment Process looks like this:

• 1st Interview with someone from the Talent team (30-45 Minutes)
• Technical Interview with our Senior Developers (90 Minutes)
• Call with the Head of Engineering (60 Minutes)

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

Check out our LinkedIn page

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

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

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

Who we are

The Role 

Much of our work takes place in high-security on-premise environments, and we are looking for Site Reliability Engineer to support our high security environments.

Your role as a Site Reliability Engineer will be to design, implement, and manage our on-premise Kubernetes infrastructure.

We are looking for engineers with a strong work ethic and prioritisation skills. We value team players who communicate clearly, share knowledge generously, and collaborate effectively to move their team — and our mission—forward. 

The day-to-day

• As a SRE, you will design and build cloud-native infrastructure platforms on-premises, focusing on Kubernetes-based solutions that enable our development teams to operate services at scale.

• You will create robust observability frameworks using Grafana, Prometheus, and distributed tracing to ensure system reliability and performance

• You will architect and implement secure, multi-tenant Kubernetes clusters with strong access controls, policy-as-code governance, and zero-trust networking between red and black network domains. You will develop operators and controllers to automate infrastructure provisioning and compliance

• You will build and maintain MLOps platforms enabling AI researchers to deploy, monitor, and scale machine learning models in production.

• You will collaborate closely with our Security teams to implement supply chain security, container scanning, and runtime protection across our cloud-native stack

Key Skills 

• Scripting: experience in either Python, Go, Rust or Bash/ Shell for automation and tooling  

• Experience with GitOps workflows and CI/CD automation

• Kubernetes Expertise: deep experience operating production Kubernetes clusters, writing custom controllers/operators, and implementing service mesh architectures (Istio/Linkerd)

• Cloud-Native Technologies: hands-on experience with CNCF ecosystem, e.g. including Helm, ArgoCD, Flux and container runtime security tools like Falco

• Observability Stack: expert-level knowledge of Grafana, Prometheus, Loki, Tempo, and OpenTelemetry. Experience building custom dashboards, alerts, and SLI/SLO frameworks

• Networking: Expert understanding of networking concepts, protocols and security

• MLOps Platforms: experience with Kubeflow, MLflow, or similar platforms

• Infrastructure as Code: proficiency with Terraform, Ansible, and Kubernetes manifest templating. Experience with policy-as-code tools like OPA/Gatekeeper

• System Administration: deep understanding of Linux/Unix system administration and highly available, distributed systems

• Comfortable building out data and telemetry pipelines for debugging and future-proofing solutions

You should apply if you

• Have a high level of personal integrity, reliability, and attention to detail

• Have a software engineering mindset with a passion for building platforms and tools that multiply developer productivity

• Have experience running cloud-native workloads in on-premises or air-gapped environments

• Are willing to relocate to Munich, London, or Berlin.

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

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

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

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

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

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

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

What we offer

• A focus on outcomes, not time-tracking

• Competitive compensation and VSOP options

• Relocation support

• Social and education allowances

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

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

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

The Problems You'll Solve

At Carta, our employees set out on a mission to unlock the power of equity ownership for more people in more places. We believe that the problems we solve today unlock the opportunities of tomorrow. 

As a Senior Machine Learning Engineer II at Carta, you'll spend your time building agentic systems to power new products, automate complex document workflows, and accelerate Carta's business. You will also work closely with the SRE team to develop Carta's infrastructure around LLM integration and agentic processes. Example responsibilities will include:

• Develop agentic systems to classify, extract and review data from complex financial and legal documents.
• Develop agentic systems for document acquisition and management.
• Partner with product managers, engineers, designers, and business teams to incorporate agentic and LLM-powered products and user-flows.
• Own, coordinate, and solve complex, cross-functional problems that extend beyond the traditional boundaries of machine learning.

The Team You'll Work With

At Carta, our Machine Learning team is on a mission to power data products and automation through cutting-edge techniques. We work closely with Carta's core business units and product teams to develop LLM-powered and agentic systems for document intelligence, fund administration, legal tech, customer onboarding and more. This role is foundational to our team, where you'll work with one of the world's most valuable datasets and document repositories. Our systems directly enable revenue growth and operational efficiency for the company.

Our team consists of specialized Machine Learning scientists and engineers, collaborating with product analytics and data engineering experts. We foster a culture of partnership, working closely with teams across Carta to solve impactful problems. We strongly believe that being helpful accelerates results, and we support one another to achieve success at Carta.

The Impact You'll Have

You will own significant projects that directly align with the company's strategic initiatives in agentic systems, AI adoption and document intelligence. Your contributions will empower leaders across the organization to deliver innovative products, optimize operational efficiency, and make well-informed product decisions. Additionally, you will have the opportunity to develop foundational infrastructure for our team and establish best practices for integrating our agentic and LLM-powered systems into production environments. Your work will not only impact Carta's current machine learning capabilities but also pave the way for future engineers, enabling them to build upon your efforts seamlessly.

About You

Candidates must have a strong foundation in machine learning and software development, be proficient in Python, and have an analytical mindset. You have a strong bias towards simplicity, are excited by “zero to one” projects, and can efficiently communicate findings to leadership. Example traits that we value:

• 8+ years of industry experience solving complex data problems with descriptive and predictive statistical models
• Proficiency with AI-assisted software development, multi-agent development, skills & AI integration into development processes
• Experience with large language models (LLMs) and their applications in document intelligence
• Experience using LLMs and agentic frameworks such as Agno, Anthropic’s Agent SDK, Strands Agents SDK, A2A, LangChain or similar
• Experience with LLM observability and evals platforms such as Braintrust, Weights&Biases, LangFuse or similar
• Strong written and verbal communication skills
• A collaborative attitude and a helpful personality
• Experience building durable workflows in e.g. Temporal

The role

As a Cloud Site Reliability Engineer at Wayve, you will build and scale the reliability foundations of our AI cloud platform. This includes our Model Development Platform (powering end-to-end model development from raw data to on-road experimentation) and our GPU Compute platform (large-scale, multi-tenant GPU fleets and scheduling systems driving model training and inference at scale).

This is a founding Cloud SRE role. You won’t inherit a mature SRE function, you’ll help create it. You will define the frameworks, automation, and operational standards that ensure our model development infrastructure, distributed systems, and large compute clusters operate predictably, efficiently, and at scale.

This role sits at the intersection of AI research, large-scale cloud infrastructure, and production operations. Your work will directly enable faster model training, reliable experimentation, and scalable AI deployment by ensuring our cloud infrastructure is resilient and performant.

Key responsibilities

Reliability & Platform Ownership

• Own the reliability, availability, and performance of the Model Dev Platform and GPU Compute environments.
• Define and operationalise SLOs, SLIs, and error budgets across platform services.
• Improve capacity planning, scaling strategies, and resource efficiency across large GPU-backed clusters.
• Partner with ML, platform, and software teams to establish clear production readiness standards.
  
  

Incident Response & On-Call

• Participate in a 24/7 on-call rotation as first-line response for cloud and cluster-related incidents.
• Lead incident triage, escalation, communications, and root cause analysis.
• Translate post-incident learning into durable architectural or automation improvements.
• Continuously reduce alert noise and recurring operational burden.
  
  

Observability & Operational Excellence

• Design and operate monitoring, logging, tracing, and alerting systems that enable rapid detection and recovery.
• Build dashboards that reflect real user-centric platform health (not just infrastructure metrics).
  Improve deployment safety through better change management, validation, and rollback mechanisms.
  
  

Automation & Tooling

• Build automation for cluster operations, training workflows, remediation, and scaling tasks.
• Implement self-healing patterns and resilient recovery workflows.
• Harden CI/CD and release processes to improve deployment safety and velocity.
• Support infrastructure-as-code and policy-driven guardrails to ensure secure, reliable cloud environments.

About you

In order to set you up for success as a Cloud Site Reliability Engineer at Wayve, we’re looking for the following skills and experience.

Essential skills

• Proven experience in an SRE, Production Engineer, or Cloud Reliability role supporting large-scale cloud systems.
• Strong Kubernetes experience, including operating production clusters.
• Hands-on experience running production workloads in AWS, GCP, or Azure.
• Experience operating complex distributed systems in production, ideally including compute-heavy or high-performance workloads.
• Experience working with large compute clusters; exposure to AI/ML training or inference workloads strongly preferred.
• Strong Linux fundamentals and proficiency in at least one scripting or systems language (e.g. Python, Go, C++) with a bias toward automation.
• Deep troubleshooting skills across networking, storage, distributed systems, and performance at scale.
• Experience designing and operating observability stacks (e.g. Datadog, Prometheus, Grafana, OpenTelemetry).
• Clear communication skills, including leading incidents, writing postmortems, and influencing teams to prioritise reliability improvements.

Desirable skills

• Experience operating GPU-backed environments or large-scale ML infrastructure.
• Experience running model training or inference pipelines in production (MLOps).
• Familiarity with infrastructure-as-code (e.g. Terraform) and secure cloud production environments.
• Experience defining and running SLOs/SLIs and building reliability programs across multiple teams.
• Experience as an early or founding SRE hire establishing processes from scratch.
• Interest in helping shape and grow a Cloud SRE function, with potential to take on leadership responsibilities over time.

This is a full-time role based in our office in London (2 days a week in the office).  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.

The role

This is a rare opportunity to be a founding Staff SRE shaping the reliability of large-scale AI systems and GPU compute infrastructure from the ground up.

As a Staff Cloud Site Reliability Engineer at Wayve, you will build and scale the reliability foundations of our AI cloud platform. This includes our Model Development Platform (powering end-to-end model development from raw data to on-road experimentation) and our GPU Compute platform (large-scale, multi-tenant GPU fleets and scheduling systems driving model training and inference at scale).

This is a founding Cloud SRE role. You won’t inherit a mature SRE function, you’ll help create it. You will define the frameworks, automation, and operational standards that ensure our model development infrastructure, distributed systems, and large compute clusters operate predictably, efficiently, and at scale.

This role sits at the intersection of AI research, large-scale cloud infrastructure, and production operations. Your work will directly enable faster model training, reliable experimentation, and scalable AI deployment by ensuring our cloud infrastructure is resilient and performant.

Key responsibilities

Reliability & Platform Ownership

• Own the reliability, availability, and performance of the Model Dev Platform and GPU Compute environments.
• Define and operationalise SLOs, SLIs, and error budgets across platform services.
• Improve capacity planning, scaling strategies, and resource efficiency across large GPU-backed clusters.
• Partner with ML, platform, and software teams to establish clear production readiness standards.
  
  

Incident Response & On-Call

• Participate in a 24/7 on-call rotation as first-line response for cloud and cluster-related incidents.
• Lead incident triage, escalation, communications, and root cause analysis.
• Translate post-incident learning into durable architectural or automation improvements.
• Continuously reduce alert noise and recurring operational burden.
  
  

Observability & Operational Excellence

• Design and operate monitoring, logging, tracing, and alerting systems that enable rapid detection and recovery.
• Build dashboards that reflect real user-centric platform health (not just infrastructure metrics).
  Improve deployment safety through better change management, validation, and rollback mechanisms.
  
  

Automation & Tooling

• Build automation for cluster operations, training workflows, remediation, and scaling tasks.
• Implement self-healing patterns and resilient recovery workflows.
• Harden CI/CD and release processes to improve deployment safety and velocity.
• Support infrastructure-as-code and policy-driven guardrails to ensure secure, reliable cloud environments.

About you

In order to set you up for success as a Cloud Site Reliability Engineer at Wayve, we’re looking for the following skills and experience.

Essential skills

• Proven experience in an SRE, Production Engineer, or Cloud Reliability role supporting large-scale cloud systems.
• Experience operating GPU-backed environments or large-scale ML infrastructure.
• Experience running model training or inference pipelines in production (MLOps).
• Strong Kubernetes experience, including operating production clusters.
• Hands-on experience running production workloads in AWS, GCP, or Azure.
• Experience operating complex distributed systems in production, ideally including compute-heavy or high-performance workloads.
• Experience working with large compute clusters; exposure to AI/ML training or inference workloads strongly preferred.
• Strong Linux fundamentals and proficiency in at least one scripting or systems language (e.g. Python, Go, C++) with a bias toward automation.
• Deep troubleshooting skills across networking, storage, distributed systems, and performance at scale.
• Experience designing and operating observability stacks (e.g. Datadog, Prometheus, Grafana, OpenTelemetry).
• Clear communication skills, including leading incidents, writing postmortems, and influencing teams to prioritise reliability improvements.

Desirable skills

• Familiarity with infrastructure-as-code (e.g. Terraform) and secure cloud production environments.
• Experience defining and running SLOs/SLIs and building reliability programs across multiple teams.
• Experience as an early or founding SRE hire establishing processes from scratch.
• Interest in helping shape and grow a Cloud SRE function, with potential to take on leadership responsibilities over time.

This is a full-time role based in our office in London (2 days a week in the office).  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.

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. 

What You’ll Do:

You’ll join CoreWeave’s Talent Acquisition team supporting Engineering hiring across EMEA, partnering closely with hiring managers in Site Reliability Engineering (SRE), Production Engineering, and Operations Engineering. The team is responsible for scaling high-performing technical talent in complex, distributed systems environments while maintaining speed, quality, and a strong candidate experience.

About the role:

This Contract Recruiter will own full-cycle recruitment across a range of engineering roles in EMEA, with a focus on SRE, Production, and Operations Engineering. Day-to-day, you will partner with hiring managers to scope roles, build targeted sourcing strategies, and manage pipelines from initial outreach through to offer and close. You’ll operate in a high-growth environment, balancing multiple requisitions while maintaining high hiring standards and velocity. This role requires strong market mapping, proactive sourcing, and the ability to navigate complex technical hiring landscapes across multiple regions.

Who You Are:

• 5+ years of recruiting experience, including technical recruiting for engineering roles
• Proven track record of hiring in EMEA markets (UK, Poland, or broader Europe)
• Experience recruiting for SRE, Production Engineering, Operations Engineering, or similar infrastructure-focused roles
• Demonstrated ability to manage multiple concurrent requisitions (5–10+ roles simultaneously)
• Strong sourcing capability using LinkedIn Recruiter, Boolean search, and other direct sourcing methods
• Experience running full-cycle recruitment processes, including intake, calibration, offer management, and closing
• Familiarity with ATS systems such as Greenhouse
• Knowledge of EMEA hiring practices and employment compliance

Preferred:

• Experience recruiting in cloud infrastructure, AI infrastructure, or distributed systems environments
• Exposure to hiring for teams working with Kubernetes, large-scale infrastructure, or distributed systems (nice to have, not required)
• Experience supporting hiring in high-growth or scaling technology companies

Wondering if you’re a good fit?

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• You love to build pipelines from scratch and solve complex hiring challenges
• You’re curious about how modern infrastructure teams are evolving at scale
• You’re an expert in sourcing and engaging hard-to-reach technical talent

Why CoreWeave?

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

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

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

This is a contract role offered on a fixed-term basis (FTC), with compensation structured as a day rate plus benefits. The day rate will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. This role is not eligible for equity participation.

What You’ll Do

We’re seeking a talented and experienced Senior Engineer for Network Observability to join our Network Observability team. In this role, you will be a key player in designing, developing, and maintaining the monitoring, telemetry, and observability systems that keep CoreWeave’s GPU cloud network operating reliably and at scale. You’ll focus on building solutions that provide real-time insights into network performance, ensuring that issues are detected proactively and resolved quickly.

Your mission? To empower CoreWeave’s network with advanced observability: robust metrics, powerful analytics, and automated alerting—so well-tuned that any anomalies become clear before they ever impact our customers.

• Develop, optimize, and maintain network observability platforms. Use your skills in Python and Golang to create and automate collectors, exporters, and dashboards that provide deep visibility into network health and performance.
• Collaborate with Network Engineering and Platform teams to ingest and unify logs, metrics, and events from a variety of platforms (Arista EOS, NVIDIA Cumulus Linux, Nokia SR OS, SR Linux, etc.) into a single observability pipeline.
• Design and implement scalable telemetry solutions using protocols like gNMI, SNMP, and streaming analytics. Ensure advanced alerting and anomaly detection with tools such as Prometheus, Grafana, and Alertmanager.
• Work closely with network developers, site reliability engineers, and security teams to integrate observability solutions across the broader infrastructure. Participate in design discussions, RFCs, and architectural decisions.
• Join a rotating on-call schedule to troubleshoot and resolve observability-related issues. Provide timely support to operations teams, quickly isolating and fixing problems when they arise.
• Guide junior team members, share best practices, and foster a culture of continuous learning and improvement within the observability domain.

Investing in our people is one of our top priorities, and we value candidates who can bring their diversified experiences to our teams. Here are some qualities we’ve found compatible with our team. We'd love to talk about whether this aligns with your experience and interests and what you’re excited to work on next.

Who You Are

Minimum Qualifications

• Deep familiarity with Prometheus, Grafana, Alertmanager, gNMI, and SNMP. Experience writing or extending custom metric collectors/exporters is a plus.
• Experience as a Network Engineer, SRE, Software Developer, or Systems Administrator in large-scale environments. A track record of building and operating robust telemetry and monitoring solutions is a plus.
• Passion for automating tasks and processes. You find satisfaction in creating workflows that handle repetitive tasks and reduce human error to near zero.
• Comfortable containerizing solutions in Kubernetes, designing, building, and deploying container-based workloads efficiently.
• Proficient with Python, Go, and Bash, plus familiarity with configuration management and templating tools (e.g., Ansible, Jinja2). .
• Strong knowledge of Linux systems and IP networking concepts, with hands-on experience in routing, switching, and network troubleshooting.
• Practical knowledge with a variety of platforms, including Arista EOS, NVIDIA Cumulus Linux, Nokia SR OS, and SR Linux.
• Collaborative, humble, and always ready to help others while staying open to learning from more senior colleagues.

Preferred Qualifications

• College Education: Bachelor’s degree in Computer Science or a related field.
• Machine Learning for Anomaly Detection: Hands-on experience applying ML techniques or tools (e.g., TensorFlow, scikit-learn) to proactively detect performance or security anomalies in network traffic.
• Network Certifications: Certifications like CCNA, CCNP, or similar.
• Advanced Metrics & Analytics: Hands-on experience with data pipelines, event correlation, or anomaly detection in large-scale environments.
• Distributed Tracing: Familiarity with OpenTelemetry, Jaeger, or Zipkin for end-to-end tracing across microservices and network components.

Why CoreWeave?

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

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

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

The base salary range for this role is $139,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

What You’ll Do:

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

About the role:

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

Key responsibilities:

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

Who You Are:

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

Preferred: 

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

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

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

Why CoreWeave?

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

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

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

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

What You’ll Do:

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

About the Role

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

In this role, you will: 

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

Who You Are:

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

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

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

Why CoreWeave?

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

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

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

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

What You’ll Do:

The Monolith AI Engineering Team at CoreWeave is responsible for building and scaling the core platform that powers the world’s most advanced engineering simulation and AI workflows — our ambition is to become the super‑intelligent AI test lab for the engineering industry, helping customers “ship science, faster.” From evolving distributed architecture to enabling the next generation of agentic interfaces and physical AI, this team delivers the performant, reliable, and scalable foundation trusted by the world’s largest engineering companies.

The Fullstack Engineer (Frontend Focus) will own and evolve the Monolith platform’s product surface — the data‑heavy, workflow‑centric web experience where engineers design experiments, compare runs, interact with agents, and turn complex physical test data into decisions. You’ll partner closely with Design, Product, and Backend Engineering to ship UI and UX that feel fast, intuitive, and trustworthy for non‑ML expert engineers, while also contributing to our Python backend services when needed.

About the Role:

We’re targeting an IC5 Fullstack Staff Engineer with a strong frontend background, and are also open to exceptional Senior Fullstack Engineer II (IC4) candidates who can operate at staff‑like scope. The role is heavily frontend‑weighted (roughly 80–90%), focused on owning the Monolith web application: component architecture, design system evolution, performance, and UX for complex, data‑rich workflows. You’ll also work across our Python services (FastAPI/Flask) to shape and integrate APIs, bring new platform capabilities to the UI, and occasionally deliver backend features that unlock better user experiences.

You’ll be a key partner in defining how engineers experience Monolith’s “AI test lab” — from agent chat to experiment exploration and monitoring — and will help set the bar for frontend quality, reliability, and developer experience across the team.

In this role, you will:

Frontend Ownership & Experience

• Own significant areas of the Monolith frontend, from architecture and component design to implementation, refactors, and ongoing maintenance.
• Design and build modern, responsive UIs using React and TypeScript, with a focus on complex, data‑heavy views (tables, charts, experiment timelines, dashboards, agents) that remain fast and understandable for users.
• Collaborate with Design to evolve our design system and component library, ensuring consistency, accessibility, and a high‑quality visual language across the product.
• Drive frontend performance improvements (bundle size, rendering strategies, network usage) to keep the app responsive even under large datasets and long‑running workflows.
• Champion accessibility and usability, ensuring the interface works well for time‑pressed engineers in demanding environments.

Fullstack Development & Platform Integration

• Work closely with backend engineers on our Python services to design clean API contracts, shape data models for UI needs, and debug issues across the stack.
• Implement and integrate backend functionality (primarily in Python) when it materially improves UX or unlocks new workflows, including occasional work on API endpoints, background tasks, and data transformations.
• Collaborate with our agent and platform teams to expose agentic capabilities (e.g. platform agent) safely and intuitively in the frontend experience.
• Contribute to fullstack observability — instrumenting both frontend and backend for metrics, logging, and tracing, and using that data to guide product and performance improvements.

Collaboration, Quality & Developer Experience

• Work hand‑in‑hand with Product and Design to scope projects, define success criteria, and break down ambiguous problems into iterative deliverables.
• Maintain a high bar for code quality through thoughtful design, code reviews, tests (unit, integration, and E2E), and documentation.
• Help improve our frontend developer experience — build tooling, workflows, and patterns that make it easier for the team to ship reliable UI quickly (Storybook/design‑system improvements, local dev ergonomics, CI checks, etc.).
• Mentor other engineers on frontend best practices, UX thinking, and effective fullstack collaboration.

Who You Are:

Experience & Level

• Typically 7+ years of professional software engineering experience, including substantial time building and maintaining complex, user‑facing web applications as a fullstack or frontend‑leaning engineer.
• A track record of operating at Senior/Staff scope: owning significant product surface area, driving cross‑team projects, and making architectural decisions that last.

Frontend Expertise

• Advanced proficiency in React and TypeScript, with experience structuring large‑scale frontends (modules, state management, routing, data‑fetching patterns).
• Strong command of web fundamentals
• Experience building data‑heavy and visualization‑centric UIs — e.g. dashboards, charts, time‑series visualizations, experiment or metrics explorers.
• Familiarity with design systems and component libraries (Storybook or similar), and an eye for when design details materially impact user trust and productivity.

Backend & Platform Skills

• Solid experience with Python in production environments (FastAPI, Flask, or Django), including building and integrating REST or GraphQL APIs that power frontend experiences.
• Comfortable working in service‑oriented or microservice architectures, reasoning about data flows, failure modes, and performance across boundaries.
• Experience with SQL databases (e.g. PostgreSQL) and practical data modelling for product features.
• Familiarity with modern cloud and container stacks (Docker, Kubernetes, and at least one major cloud provider).

Quality & Ways of Working

• Strong habits around testing (unit, integration, and E2E) and CI/CD for frontend and backend changes.
• Effective collaborator with Product, Design, and cross‑functional stakeholders; clear written and verbal communicator who can explain trade‑offs and constraints.
• Comfortable working in a fast‑moving, high‑ambiguity environment where we balance shipping quickly with maintaining a reliable platform.

Preferred:

• Experience building UIs for technical or data‑savvy users (ML engineers, data scientists, physical test engineers, or similar), especially in B2B SaaS products.
• Familiarity with GraphQL and typed API clients in React (or strong REST plus a desire to pick up GraphQL quickly).
• Experience with SSR/SSG frameworks, particularly for performance‑sensitive dashboards.
• Prior work with time‑series and experiment tracking tooling, ML platforms, or analytics products.
• Exposure to ML/AI workflows (experiments, training runs, evaluations, agents) and interest in “tools for AI engineers” as a product domain.
• Experience with frontend observability (Sentry, Datadog, OpenTelemetry, etc.) and using telemetry to guide UX improvements.

Wondering if you’re a good fit?

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

• Product‑minded craftsperson – you care as much about the user experience and clarity of a workflow as you do about the quality of the code behind it.
• Detail‑oriented on complex UX – you enjoy making intricate, data‑heavy interfaces feel simple and intuitive, and you’re willing to sweat the small interactions to get there.
• Pragmatic and velocity‑driven – you know when to build the perfect abstraction and when to ship a well‑engineered, incremental improvement that moves the product forward.
• Collaborative and empathetic – you build strong relationships with engineers, designers, and PMs, and you’re comfortable iterating based on feedback from customers and colleagues.
• Owner’s mindset – you feel responsible for the experience end‑to‑end, follow through on problems across the stack, and care deeply about the impact your work has on customers and the business.

Why CoreWeave?

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

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

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

What You’ll Do:

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

The 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!

What You’ll Do:

The Monolith Data Science team is building a layered reliability platform that shifts CoreWeave from reactive troubleshooting to proactive reliability engineering. The platform spans telemetry ingestion, feature engineering, anomaly detection, failure prediction, distributed straggler detection, and agentic root cause analysis. As a forward deployed function, we partner closely with Fleet, Infrastructure, and AI Platform teams to embed data science directly into production environments—improving cluster reliability, increasing effective utilization (MFU), reducing MTTR, and protecting uptime and revenue.

About the role:

As a Forward Deployed Data Scientist, you will work at the intersection of data science and production systems, deploying advanced statistical models and machine learning methodologies directly within operational environments. You will collaborate closely with engineering and infrastructure teams to optimize GPU utilization, workload scheduling, and system efficiency in real time. You will design experiments, analyze large-scale system telemetry data, and build predictive and optimization solutions that are tightly integrated into production workflows. This role blends hands-on deployment with analytical rigor, turning complex infrastructure data into measurable improvements in performance and cost. You will translate research and modeling insights into scalable, production-ready systems.

Who You Are:

• MS or PhD in Computer Science, Statistics, Applied Mathematics, Machine Learning, or related quantitative field
• 8+ years (or equivalent experience) applying statistical modeling or machine learning to large-scale datasets
• Strong proficiency in Python and scientific computing libraries (NumPy, pandas, SciPy, scikit-learn, PyTorch or TensorFlow)
• Demonstrated experience designing and analyzing controlled experiments (A/B testing, causal inference, hypothesis testing)
• Experience working with distributed data systems (Spark, Ray, Dask, or similar)
• Proficiency in SQL and working with large-scale structured datasets
• Experience building, deploying, and maintaining predictive models in production environments
• Strong understanding of optimization techniques (linear programming, convex optimization, stochastic optimization, or reinforcement learning)
• Experience working with time-series data and performance telemetry
• Ability to translate analytical insights into production-ready systems and workflows
• Strong collaboration skills and ability to work cross-functionally in fast-paced environments

Preferred:

• PhD with published research in systems optimization, distributed computing, ML systems, or performance modeling
• Experience with GPU workloads, distributed training, or AI infrastructure
• Familiarity with Kubernetes, containerized workloads, or cloud-native systems
• Experience deploying reinforcement learning or adaptive scheduling systems in production
• Background in capacity planning, forecasting, or resource allocation modeling
• Contributions to open-source ML or systems projects

Wondering if you’re a good fit?
We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams—even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• You love uncovering hidden failure patterns in massive, noisy infrastructure datasets
• You enjoy working directly with engineering teams to deploy solutions that have immediate real-world impact
• You’re curious about building autonomous, agentic systems that investigate and explain system behavior
• You’re an expert in reinforcement learning, predictive modeling, or large-scale data analysis

Why CoreWeave?

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

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

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

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

What You’ll Do

We’re seeking a talented and experienced Senior Engineer for Network Observability to join our Network Observability team. In this role, you will be a key player in designing, developing, and maintaining the monitoring, telemetry, and observability systems that keep CoreWeave’s GPU cloud network operating reliably and at scale. You’ll focus on building solutions that provide real-time insights into network performance, ensuring that issues are detected proactively and resolved quickly.

Your mission? To empower CoreWeave’s network with advanced observability: robust metrics, powerful analytics, and automated alerting—so well-tuned that any anomalies become clear before they ever impact our customers.

• Develop, optimize, and maintain network observability platforms. Use your skills in Python and Golang to create and automate collectors, exporters, and dashboards that provide deep visibility into network health and performance.
• Collaborate with Network Engineering and Platform teams to ingest and unify logs, metrics, and events from a variety of platforms (Arista EOS, NVIDIA Cumulus Linux, Nokia SR OS, SR Linux, etc.) into a single observability pipeline.
• Design and implement scalable telemetry solutions using protocols like gNMI, SNMP, and streaming analytics. Ensure advanced alerting and anomaly detection with tools such as Prometheus, Grafana, and Alertmanager.
• Work closely with network developers, site reliability engineers, and security teams to integrate observability solutions across the broader infrastructure. Participate in design discussions, RFCs, and architectural decisions.
• Join a rotating on-call schedule to troubleshoot and resolve observability-related issues. Provide timely support to operations teams, quickly isolating and fixing problems when they arise.
• Guide junior team members, share best practices, and foster a culture of continuous learning and improvement within the observability domain.

Investing in our people is one of our top priorities, and we value candidates who can bring their diversified experiences to our teams. Here are some qualities we’ve found compatible with our team. We'd love to talk about whether this aligns with your experience and interests and what you’re excited to work on next.

Who You Are

Minimum Qualifications

• Deep familiarity with Prometheus, Grafana, Alertmanager, gNMI, and SNMP. Experience writing or extending custom metric collectors/exporters is a plus.
• Experience as a Network Engineer, SRE, Software Developer, or Systems Administrator in large-scale environments. A track record of building and operating robust telemetry and monitoring solutions is a plus.
• Passion for automating tasks and processes. You find satisfaction in creating workflows that handle repetitive tasks and reduce human error to near zero.
• Comfortable containerizing solutions in Kubernetes, designing, building, and deploying container-based workloads efficiently.
• Proficient with Python, Go, and Bash, plus familiarity with configuration management and templating tools (e.g., Ansible, Jinja2). .
• Strong knowledge of Linux systems and IP networking concepts, with hands-on experience in routing, switching, and network troubleshooting.
• Practical knowledge with a variety of platforms, including Arista EOS, NVIDIA Cumulus Linux, Nokia SR OS, and SR Linux.
• Collaborative, humble, and always ready to help others while staying open to learning from more senior colleagues.

Preferred Qualifications

• College Education: Bachelor’s degree in Computer Science or a related field.
• Machine Learning for Anomaly Detection: Hands-on experience applying ML techniques or tools (e.g., TensorFlow, scikit-learn) to proactively detect performance or security anomalies in network traffic.
• Network Certifications: Certifications like CCNA, CCNP, or similar.
• Advanced Metrics & Analytics: Hands-on experience with data pipelines, event correlation, or anomaly detection in large-scale environments.
• Distributed Tracing: Familiarity with OpenTelemetry, Jaeger, or Zipkin for end-to-end tracing across microservices and network components.

Why CoreWeave?

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

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

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

To fulfil our obligation to protect client data, successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check, conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results

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.

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] 

What’s the opportunity?

Intercom’s websites, including intercom.com and fin.ai, are strategic growth levers for the company — powering storytelling, brand, experimentation, and product discovery. As our Principal Engineer, you will shape the technical direction and architectural evolution of our web platform and systems. You’ll act as the technical leader across our marketing and growth web surfaces. This is a cross-functional engineering leadership role, partnering with marketing, analytics, design, data science, and engineering teams — to ensure our web stack is modern, performant, measurable, and delightful to build on. You’ll operate with a high degree of autonomy and will be accountable for setting the long-term technical strategy for the team and executing against it.

What will I be doing?

As a senior technical leader, you will:

• Own and evolve the architecture of Intercom’s web platform.
• Define the long-term technical strategy for the web team, focusing on scalability, performance, developer productivity, observability, and system reliability.
• Collaborate closely with marketing, design, analytics, and data science stakeholders to ensure the platform supports their goals with accuracy, performance, and agility.
• Lead and influence the design and implementation of MarTech systems for event tracking, attribution, funnel reporting, A/B testing infrastructure, and more.
• Partner with engineers across web, infrastructure, and data to create a high-quality, cohesive technical ecosystem.
• Mentor and elevate engineers across the team and organisation — providing guidance on architecture, data modeling, system design, and engineering best practices.
• Set the standard for technical excellence in reliability, maintainability, code quality, and operational readiness.
• Provide technical leadership and insight to Engineering Managers, Product Managers, and executive stakeholders - communicating risks, trade-offs, and opportunities clearly.
• Contribute hands-on to the codebase — leading by example and helping unblock and accelerate key projects.

What skills do I need?

We’re looking for someone who brings deep technical expertise, cross-functional leadership, and strong domain knowledge in web systems. You should have:

• 12+ years of software engineering experience
• Experience in a high-scale growth-focused web environment.
• A track record of technical leadership and influencing technical direction across multiple teams or departments.
• Deep expertise in Next.js and the React ecosystem.
• Experience with headless CMS platforms such as Contentful or Sanity - including content modeling, migration, and multi-site architecture. 
• Experience with infrastructure-as-code (Terraform), cloud platforms (AWS, CloudFront, S3), and deployment platforms (Vercel). 
• Experience designing or operating experimentation infrastructure - A/B testing frameworks, event instrumentation, attribution systems and tools like Eppo. 
• Strong understanding of web analytics and data instrumentation - experience with event tracking SDKs, Google Tag Manager, or similar. 
• Comfortable working in and supporting full-stack codebases - even if this role is not UI-heavy, a solid frontend architecture awareness is valued.
• Experience operating in continuous delivery environments with an emphasis on incremental, high-quality shipping. 
• Exceptional communication skills and a history of collaborating with cross-functional teams (product, marketing, analytics, design, etc.)
• A mentorship mindset — proven ability to raise the bar for engineering excellence across a team or organization.

Benefits 

We are a well-treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work
• Pension scheme & match up to 4%
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Flexible paid time off policy
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too 
• MacBooks are our standard, but we also offer Windows for certain roles when needed.

What’s the opportunity?

Intercom’s websites, including intercom.com and fin.ai, are strategic growth levers for the company — powering storytelling, brand, experimentation, and product discovery. As our Principal Engineer, you will shape the technical direction and architectural evolution of our web platform and systems. You’ll act as the technical leader across our marketing and growth web surfaces. This is a cross-functional engineering leadership role, partnering with marketing, analytics, design, data science, and engineering teams — to ensure our web stack is modern, performant, measurable, and delightful to build on. You’ll operate with a high degree of autonomy and will be accountable for setting the long-term technical strategy for the team and executing against it.

What will I be doing?

As a senior technical leader, you will:

• Own and evolve the architecture of Intercom’s web platform.
• Define the long-term technical strategy for the web team, focusing on scalability, performance, developer productivity, observability, and system reliability.
• Collaborate closely with marketing, design, analytics, and data science stakeholders to ensure the platform supports their goals with accuracy, performance, and agility.
• Lead and influence the design and implementation of MarTech systems for event tracking, attribution, funnel reporting, A/B testing infrastructure, and more.
• Partner with engineers across web, infrastructure, and data to create a high-quality, cohesive technical ecosystem.
• Mentor and elevate engineers across the team and organisation — providing guidance on architecture, data modeling, system design, and engineering best practices.
• Set the standard for technical excellence in reliability, maintainability, code quality, and operational readiness.
• Provide technical leadership and insight to Engineering Managers, Product Managers, and executive stakeholders - communicating risks, trade-offs, and opportunities clearly.
• Contribute hands-on to the codebase — leading by example and helping unblock and accelerate key projects.

What skills do I need?

We’re looking for someone who brings deep technical expertise, cross-functional leadership, and strong domain knowledge in web systems. You should have:

• 12+ years of software engineering experience
• Experience in a high-scale growth-focused web environment.
• A track record of technical leadership and influencing technical direction across multiple teams or departments.
• Deep expertise in Next.js and the React ecosystem.
• Experience with headless CMS platforms such as Contentful or Sanity - including content modeling, migration, and multi-site architecture. 
• Experience with infrastructure-as-code (Terraform), cloud platforms (AWS, CloudFront, S3), and deployment platforms (Vercel). 
• Experience designing or operating experimentation infrastructure - A/B testing frameworks, event instrumentation, attribution systems and tools like Eppo. 
• Strong understanding of web analytics and data instrumentation - experience with event tracking SDKs, Google Tag Manager, or similar. 
• Comfortable working in and supporting full-stack codebases - even if this role is not UI-heavy, a solid frontend architecture awareness is valued.
• Experience operating in continuous delivery environments with an emphasis on incremental, high-quality shipping. 
• Exceptional communication skills and a history of collaborating with cross-functional teams (product, marketing, analytics, design, etc.)
• A mentorship mindset — proven ability to raise the bar for engineering excellence across a team or organization.

Benefits 

We are a well-treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work
• Pension scheme & match up to 4%
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Flexible paid time off policy
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too 
• MacBooks are our standard, but we also offer Windows for certain roles when needed.

The Mission: Platform as a Product

Your mission is to bridge the gap between "infrastructure" and "developer success". You will transform our platform from a set of tools and processes into a cohesive internal product. You will lead a team of engineers through a period of growth and establish a "paved road" that allows our product teams to ship with zero friction.

The Impact: Driving High-Velocity Delivery

You aren't inheriting a fixed roadmap or team, you are shaping it! Working together with our Staff Engineer, you will define what good looks like and how to become a high performing team. You will oversee delivery timelines, scope and are not afraid of making highly impactful decisions. You don’t care about the ticket throughput, you care about work done.

• Ambiguity: You are not afraid of working with ambiguous requirements and turning them into concrete deliverables. You are comfortable making trade-off decisions and understand that “perfect is the enemy of done”. 
• Team Evolution: You act as a coach and a talent magnet. You will be responsible for the growth, performance, and structure of the Platform unit, ensuring we have a vocal, collaborative, and high-performing culture through continuous learning.
• Raise the Bar: You drive Platform excellence, may it be developer experience, infrastructure or SRE. Communication: You communicate regularly with the other Engineering Managers, manage their expectations and hold them accountable for delivery dependencies.

The Profile: The Practical Strategist

We are looking for a leader who builds high-performing teams. Whether your background is in Platform, Backend, or Data Engineering, you are someone who thrives on solving "the hard stuff", is motivated to educate themself and never leaves a job 80% finished. This is your chance to shape a Platform Domain from the ground up. 

• High Agency: You don't wait for permission to fix a glaring problem. You build the business case, get the buy-in, and get it done. 
• Execution-Focused: You have a track record of taking complex initiatives across the finish line. You understand that "80% done" is often where the most critical technical debt lives, and you have the discipline to drive projects to true 100% completion.
• Strong opinions, weakly held: You have strong opinions on how things should be done, but you are Okay to disagree and commit in order to move forward. 

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. 

CHAOS Industries is redefining modern defense with omniscient systems purpose-built for today’s realities. Designed and built by top U.S. military veterans and Silicon Valley innovators, CHAOS Industries’ products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats. In a world where technological threats move at unprecedented speed, CHAOS Industries delivers advanced sensing and detection solutions that give the ultimate advantage: time.

CHAOS Industries was founded in 2022 and has raised $1B in total funding from leading investors including 8VC, Accel, and NEA. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, and London. For more information, please visit www.chaosinc.com.

Role Overview:

Technical Operations Engineers sit at the intersection of technology and real-world mission environments. You’ll ensure CHAOS systems operate flawlessly in the field — integrating hardware and software, diagnosing complex system issues, and delivering rapid fixes and improvements.

This role is ideal for someone who thrives in dynamic, hands-on settings — comfortable with Linux terminals, network traces, and hardware wiring as much as Python scripts and dashboards. You’ll be embedded with customers, integrating CHAOS systems into existing infrastructure, and ensuring reliability under real-world conditions.

Responsibilities:

• Integrate CHAOS software, sensors, and RF devices with customer systems — both physically (networking, power, and hardware bring-up) and via software interfaces (data pipelines, APIs).
• Debug complex edge issues spanning hardware, software, and networking layers.
• Develop scripts, diagnostics, and automation tools to improve reliability and observability.
• Capture operational feedback and collaborate with internal engineering teams to drive product improvements.
• Document system configurations, troubleshooting steps, and lessons learned for both internal and customer audiences.
• Travel (typically up to 50%) to customer and test sites for deployments, troubleshooting, and mission support.

Minimum Requirements:

• Strong technical foundation with a degree in Engineering, Computer Science, Physics, or related field — or equivalent hands-on experience.
• Deep familiarity with Linux environments; comfortable with SSH, networking tools, and system-level debugging.
• Strong problem-solving instincts — able to work independently and under pressure in the field.
• Understanding of networking protocols, hardware interfaces, and distributed system concepts.
• Experience integrating or maintaining hardware or sensor systems.
• Proficiency in at least one scripting or programming language (Python, Bash, or similar).
• Willingness and enthusiasm for travel and on-site technical work.

Preferred Requirements:

• Experience in systems integration, field engineering, or technical operations for complex deployments.
• Background in defense, aerospace, or other mission-critical environments.
• Familiarity with telemetry, data integration, or IoT-style architectures.
• Understanding of RF systems, SDRs, or radar technologies (highly valued but not required).
• Experience with cloud and edge computing environments (Docker, Azure, AWS, etc.).
• Excellent communication and documentation skills — able to bridge technical and operational perspectives with clarity and composure.

Why CHAOS?

• Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
• Additional benefits: 5% pension match, life insurance, Cycle to Work Scheme, and more
• Our Perks: Free daily lunch, ‘No meeting Fridays’, unlimited PTO, casual dress code
• Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
• Team Growth: 200 employees and counting across 5 global offices

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