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

About the Department

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

About the Team

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

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

What You’ll Do

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

Examples of desirable skills, knowledge, and experience

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

Equity

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

Benefits

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

Health & Welfare Benefits

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

Financial Benefits

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

Time Off

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

The Role

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

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

Key Responsibilities:

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

What You Bring (The Ideal Candidate):

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

#LI-JG1

Why Verifone

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

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

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

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

What’s Exciting About the Role

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

Key Responsibilities

Kafka Operations & Reliability

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

Scripting, Automation & DevOps

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

Data Pipeline Development

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

Cloud & Infrastructure

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

Required Qualifications / Skills

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

Preferred Skills (Highly Desired)

Data Engineering & Pipelines

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

Database & Caching Technologies

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

Infrastructure & Security

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

What We Offer

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

Our Commitment

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

About The Role

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

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

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

What We're Looking For

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

Bonus If You Have

• Experience with Customer Data Platforms

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

What You'll Do

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

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

What We're Looking For

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

About the Role

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

What You’ll Be Doing

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

Qualifications

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

Nice to Have

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

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

About the Role

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

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

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

What You'll Do

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

What We're Looking For

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

We'd Be Delighted If You Also Have

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

Work Location & Travel Requirements

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

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

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

Compensation

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

Benefits & Perks

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

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

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

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

About the Role

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

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

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

This role is ideal for engineers who want to:

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

Responsibilities

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

Requirements

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

Nice to Have

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

Role Overview

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

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

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

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

You will:

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

Ideally, you have:

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

Role Overview

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

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

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

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

You will:

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

Ideally, you have:

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

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

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

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

Your mission is threefold:

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

You will:

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

Ideally, you’d have:

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

Nice to haves:

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

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

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

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

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

You will:

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

Ideally you’d have:

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

Nice to haves:

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

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

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

You will:

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

Ideally, you'd have:

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

Nice to haves:

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

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

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

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

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

You will:

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

Ideally you’d have:

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

Nice to haves:

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

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

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

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

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

You will:

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

Ideally you’d have:

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

Nice to haves:

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

About the Position:

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

 How You’ll Make an Impact:

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

What makes you a good fit:

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

Why Join Oasis Security:

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

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

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

Your future role within QRT

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

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

Your present skillset

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

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

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

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.

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

Your Future Role within QRT
You will:

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

Your present skillset

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

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

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

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. 

Role: Senior iOS Engineer

Location: Soho Square, London Office / Hybrid  

Reporting to: Engineering Manager 

The Role 

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

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

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

We’re looking for someone who:

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

Bonus points for:

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

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

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

Role: Senior Android Engineer 2 
Location: Soho Square, London Office / Hybrid 
Reporting to: Engineering Manager 

The Role 
We are on a mission to be "the app you can’t move without". Our Android platform is central to how millions of people discover and engage with property in the UK. 

We are seeking a Senior Android Engineer 2 to provide technical leadership across the Android app. In this role you will set the architectural direction, define standards for quality and performance, and lead cross-team initiatives that elevate our Android capabilities. You will work closely with Product Management, QA, Back-end engineering, Product Design and Analytics to ensure the platform enables rapid experimentation while remaining robust and maintainable.  

Responsibilities will include: 

• Platform Strategy: Define and drive Android architectural strategy, including modularisation, navigation and deep link approaches, shared libraries and design system implementation. 

• Cross-Team Leadership: Partner with multiple teams to ensure consistent approaches, high code quality and effective reuse of components and tooling. 

• Complex Delivery: Lead the design and delivery of high impact, cross cutting projects, unblocking teams and making pragmatic technical decisions. 

• Developer Experience: Improve build, CI/CD and local developer workflows, focusing on reliability, feedback speed and ease of contributing. 

• Performance and Reliability: Set expectations for performance, startup time, memory usage and crash-free rates, and lead initiatives to meet them. 

• Coaching and Mentorship: Support Senior and Mid-level Android engineers through technical guidance, career development conversations and involvement in hiring and progression frameworks. 

• Community Leadership: Represent Android within the wider Native Apps and Engineering communities, sharing best practices, running guilds or forums and contributing to broader technical direction. 

We are looking for someone who: 

• Experience: Has deep experience building and evolving large scale Android applications, ideally supporting millions of users. 

• Architectural Leadership: Has led architectural evolution and platform initiatives and is comfortable balancing ideal designs with practical constraints. 

• Strategic Influence: Can work with Product and Technology leaders to align on long term plans and communicate technical tradeoffs clearly. 

• Cross-Functional Collaboration: Builds strong relationships with Product, Design, QA, Data and Backend, and is skilled at facilitation and alignment. 

• Operational Excellence: Experienced in observability, incident response, SLOs and continuous improvement of reliability and performance. 

• People Leadership: Enjoys growing others, influencing hiring standards and helping shape an inclusive, high performing engineering culture. 

• Communication: Can clearly articulate complex issues and proposals to a variety of audiences, from engineers to senior stakeholders. 

Bonus points for: 
- Experience in multi-module, multi-app or white-label Android architectures. 
- Prior involvement in setting technical career frameworks or promotion criteria. 
- Public engagement in the Android ecosystem through talks, writing or open source. 

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

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

Location: London Office / Hybrid (3 days a week working from home)

Reporting to: Engineering Manager

The role 

As a Senior Software Engineer I, you will own the delivery of high-quality software and products, able to be deployed frequently and safely into production. Working with similarly minded people, you collaborate with your team to encourage best coding practices. You are an advocate of test automation and have a clear view of where to make the best use of it. 

At Rightmove we work as part of autonomous cross-functional teams in an agile environment. Each team owns a part of the Rightmove experience made up of design, product and engineering. You will deliver quality solutions that satisfy millions of users, thousands of agents and hundreds of passionate Rightmovers. You will contribute towards defining solutions to business and technical problems in a way which ensures maintainability, scalability and high performance standards. We work collaboratively across a mix of product and centralised teams, together working towards Rightmove’s strategy.  

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

Key Responsibilities:

• Design and deliver impactful features across our applications using technologies such as TypeScript, React, Node.js, Express, Kubernetes, and GitLab.
• Collaborate with cross‑functional partners to solve meaningful problems and build thoughtful, scalable solutions.
• Contribute actively to sprint planning, helping shape the roadmap and influence feature prioritisation.
• Participate in engineering forums and initiatives that strengthen our craft and promote continuous improvement.
• Share knowledge and mentor others, helping to foster an inclusive, supportive culture of learning and growth.
• Provide clear, considered estimates for user stories to support effective team planning.
• Engage in constructive code reviews, offering supportive feedback and championing high‑quality engineering practices.
• Explore and advocate for emerging technologies that enhance our platform, developer experience, and ways of working.
• Work effectively in an Agile environment, embracing collaboration, experimentation, and iterative improvement.

• Has proven experience in a user‑facing product team, understanding customer needs and the real‑world impact of their work.
• Is passionate about quality, with hands‑on experience in TDD and tools like Jest and React Testing Library.
• Values clean, maintainable code and enjoys discussing different ideas and approaches.
• Has experience mentoring and supporting other engineers, contributing to an environment where everyone can thrive.
• May have experience with modern Angular and/or Java; this is a bonus, not a requirement. What matters most is a willingness to work across boundaries and contribute across the stack when needed.
• Is curious about how users interact with live applications, and motivated to improve performance, usability, and overall experience.
• Embraces modern technologies and brings a mindset of continuous improvement.
• Feels comfortable asking questions, sharing ideas, and learning from others in a collaborative team setting.

Our approach to AI: 
At Rightmove, we believe software and product are ultimately people problems, and everything we build aims to improve the lives of others. We see AI as a helpful way to create more space for the human side of our work, from understanding real needs to making sure we are solving the right problems in the right way. There is an expectation that you are proactive in exploring how AI can support your own workflow and productivity, and that you approach it with curiosity and an open mind.

Location: London Office / Hybrid (3 days a week working from home)

Reporting to: Head of Programmes & Analysis

The role 

At Rightmove we are investing heavily in the future of our business - growing our existing revenue streams, exploring new commercial opportunities, leveraging AI, upgrading infrastructure and onboarding new tooling and capabilities. We’re looking for a hands-on Project Manager to lead initiatives spanning multiple products, platforms, and business teams.  You will be expected to drive outcomes, bring structure to ambiguous problems and ensure progress across complex dependencies. We run lean and value people who go beyond narrow role definitions. In this role, you’ll be expected to get into the details, build a deep understanding of your projects, and carry out hands-on analysis where required. 

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

What you’ll be doing 

• Own project outcomes end‑to‑end, with a clear grasp of what’s being built and why, not just timelines
• Create and maintain pragmatic delivery plans, actively managing dependencies, trade‑offs and risks
• Keep scope focused on high‑value outcomes as priorities evolve
• Apply lightweight governance and reporting that supports delivery rather than slows teams down
• Work closely with Product Managers and Engineering Leads to navigate ambiguity and unblock progress
• Proactively manage risks, issues and blockers, stepping in directly where needed
• Coordinate business and operational change so impacted teams understand and adopt what’s delivered
• Track costs and procurement where required, without letting process outweigh progress
• Lead practical retros focused on real improvements, not ceremony
• Get hands‑on with analysis when needed to clarify problems, validate assumptions and shape solutions

We’re looking for someone who 

• Is organised but comfortable working without perfect information
• Adapts quickly as priorities change, while keeping delivery moving
• Takes ownership and drives progress, not just updates
• Communicates complex delivery or technical topics clearly
• Is curious about the products and systems they deliver, and willing to get into the details
• Moves easily between analysis and delivery coordination
• Builds trust and influence in matrixed environments
• Acts with integrity and is confident in raising delivery risks

What you’ll bring to the role 

Essential 

• Proven experience delivering cross‑team software initiatives where requirements or solutions evolved
• Experience in product‑led organisations, partnering closely with Product and Engineering
• Practical application of agile ways of working, used flexibly rather than by the book
• Ability to influence and lead without authority in lean, matrixed environments
• Experience using analysis and delivery data to diagnose issues and improve outcomes

Ideally 

• Background in a hands‑on technology role (e.g. BA, delivery lead, engineer or similar)
• Experience supporting the adoption of new systems or ways of working
• Familiarity with Jira, using delivery data to understand and improve flow, not just report status

Our approach to AI: 
At Rightmove, we believe software and product are ultimately people problems, and everything we build aims to improve the lives of others. We see AI as a helpful way to create more space for the human side of our work, from understanding real needs to making sure we are solving the right problems in the right way. There is an expectation that you are proactive in exploring how AI can support your own workflow and productivity, and that you approach it with curiosity and an open mind.

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

Reporting to: Head of Engineering

Domains: Consumer

The Role

We’re searching for a Principal Engineer to help shape the future of engineering across one of our most influential spaces in the business: the Consumer domain, specifically. This is the heart of the customer journey, and your work will directly power experiences used by millions every day.

This senior cross-domain role is ideal for someone who wants to drive impact across multiple teams, deepen our architectural thinking, and help us raise the bar on technical execution, product delivery, and long-term platform health. We are particularly looking for someone with deep specialist knowledge in Elastic, able to guide how we evolve our search and discovery capabilities for the next stage of our growth.

You’ll bring a blend of technical excellence, strong product instincts, and collaborative leadership, acting as a trusted partner to engineering managers, product leads, and domain heads.If you’re already working across team boundaries, influencing technical decisions, mentoring engineers, and thinking beyond the local scope, this could be the next step for you.

✍️Head to our tech blog to find out more about our engineering culture!

What you'll be doing:

Engineering & Architecture Leadership

• Lead the design of systems that are scalable, resilient, and fit for purpose, particularly where complexity cuts across team boundaries.
• Shape the architectural direction of the consumer domain, particularly search, in alignment with our strategic goals.
• Identify areas where we can increase reuse, improve performance, or make smarter technology decisions.

Delivery Impact

• Partner with EMs and PMs to guide scoping, sequencing, and risk mitigation for large, high-value initiatives.
• Unblock teams by spotting better ways forward, helping shift delivery patterns or simplifying complexity.
• Influence outcomes through strong product awareness and a focus on business and user value.

Standards & Practices

• Champion engineering quality, from code structure and testing practices through to observability and operational readiness.
• Spot patterns and inefficiencies in how we build software and collaborate, and help teams adopt better ways of working.
• Influence how we think about platform services, shared capabilities, and long-term sustainability of our tech estate.

Coaching & Influence

• Be a source of mentorship and thought partnership for senior engineers and tech leads.
• Model excellent communication, collaboration, and leadership behaviours across teams.
• Help us grow our internal technical community, supporting better knowledge sharing and cross-domain learning.

We're looking for someone who:

• Is already operating across multiple teams or domains and has a strong sense of the wider technical estate.
• Brings deep experience designing and delivering complex systems with significant business or user impact.
• Communicates clearly, adapts to the audience, and helps bring people on the journey.
• Thinks strategically, balancing technical concerns with product and organisational context.
• Regularly supports or mentors other engineers and is invested in growing our engineering culture.
• Knows how to move between high-level architecture and hands-on technical problem solving as needed.
• Is trusted by peers and stakeholders alike, known for their judgement, empathy, and pragmatism.

Why This Role?

• Influence some of the most strategic and visible areas of the business.
• Shape technical direction in ways that unlock better outcomes for teams and customers.
• Create the conditions for great engineering across a large, varied and interesting codebase.
• Help others grow while continuing to grow yourself.

Our Approach to AI

At Rightmove, we believe software and product are ultimately people problems, and everything we build aims to improve the lives of others. We see AI as a helpful way to create more space for the human side of our work, from understanding real needs to making sure we are solving the right problems in the right way. There is an expectation that you are proactive in exploring how AI can support your own workflow and productivity, and that you approach it with curiosity and an open mind.

Location: London / Hybrid (2 days a week in the office) 
Reporting to: Platforms Engineering Manager

The role 

As a Platform Engineer in our Cloud Foundations team, you will play a crucial role in designing, implementing and maintaining our cloud infrastructure on Google Cloud Platform (GCP). You'll be responsible for ensuring the scalability, security, and reliability of our cloud environment, enabling Rightmove to deliver innovative solutions efficiently and cost-effectively. This is a team focused on setting standards rather than fighting fires, defining cloud governance, controls and guardrails so developers can deploy confidently on a secure, audited platform. You’ll work closely with database engineers and the security team, shaping cloud foundations and helping developers understand how the platform works; from Kubernetes through to core cloud concepts. The role balances building and evolving the platform with light-touch support, handling rare incidents, and focusing on making the platform more resilient for the future.

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

• Designing and building secure, scalable cloud infrastructure on GCP that supports our products as they grow
• Helping move legacy and on‑premise workloads into the cloud, and improving things along the way
• Automating how our infrastructure is built and managed using Terraform, so we can move faster and more reliably
• Running and evolving our container platforms using GKE and Helm
• Shaping how our cloud networking works, including load balancing, CDNs, API gateways, and service mesh
• Making sure our platforms are secure, resilient, and aligned with cloud security best practices
• Setting up and maintaining monitoring, logging, and observability so issues are easy to spot and fix
• Keeping an eye on performance and spend, and finding smart ways to optimise both
• Digging into complex infrastructure problems and working with others to resolve them

• Hands‑on experience working as a cloud infrastructure engineer, ideally with a strong focus on GCP
• Confidence using Infrastructure as Code, especially Terraform
• Experience building and running containerised workloads using Docker and Kubernetes (GKE)
• Exposure to service mesh technologies and how they support modern platforms
• A solid understanding of networking and how it all comes together in the cloud
• Experience using CI/CD pipelines (such as GitLab CI) to deploy and manage infrastructure
• Comfort working with at least one programming or scripting language in an infrastructure context
• Experience with secrets management, monitoring, logging, and observability tooling
• A good grasp of cloud security principles and compliance considerations
• Practical experience optimising cloud costs and using resources effectively

It’d be great if you also had (but it’s not essential):

• Experience with event‑driven or microservices architectures, such as Pub/Sub or Kafka
• Exposure to tuning or operating search or data platforms like Elasticsearch
• Familiarity with serverless concepts and when they make sense
• Experience improving infrastructure performance and reliability
• An understanding of AI/ML infrastructure needs on GCP
  

Our approach to AI: 
At Rightmove, we believe software and product are ultimately people problems, and everything we build aims to improve the lives of others. We see AI as a helpful way to create more space for the human side of our work, from understanding real needs to making sure we are solving the right problems in the right way. There is an expectation that you are proactive in exploring how AI can support your own workflow and productivity, and that you approach it with curiosity and an open mind.

We’re seeking mid-level Product Designers to join our Experience Design (XD) team in the mobile app vertical

If your experience is primarily web-based, please check our careers page for our ‘Product Designer – Web' roles instead. 

The role:

• Help shape and deliver the product mobile app experience across iOS and Android. 

• Stay hands-on across discovery, interaction design and UI craft. 

• Apply and contribute to reusable patterns, components and design system evolution. 

• Use insights and research findings to validate solutions and drive direction. 

• Report to and work closely with the Lead Product Designer for Native Apps. 

• Hybrid – 2 days per week in the Soho, London office and 3 days from home. 

What you'll be doing:

• Collaborate with Product, Engineering and fellow designers to shape the mobile app experience. 

• Plan, run and analyse research to validate ideas and generate clear evidence. 

• Use insights and analytics to iterate solutions and influence decisions. 

• Produce user journeys, flows, wireframes and prototypes to bring ideas to life. 

• Design native interactions and patterns across the home-moving journey. 

• Partner with Content Design when shaping complex flows and messaging. 

• Consider tone, hierarchy and edge cases across the app experience. 

• Support accessibility and help others understand the value of inclusive design. 

• Apply and improve design system components and patterns. 

• Identify opportunities to improve patterns and share feedback with the design system team. 

• Work closely with Product on direction, risks and commercial awareness. 

• Contribute to improving workflows and design practices within the apps teams. 

• Share work early, participate in critiques and collaborate across disciplines. 

• Document your design thinking and decisions for delivery teams. 

What you'll bring to the role:

• A collaborative mindset and confidence working in cross-functional teams. 

• Strong communication skills and the ability to align stakeholders. 

• Curiosity and creativity, including exploring emerging tools and responsible use of AI. 

• Experience designing and shipping native app experiences end-to-end. 

• Strong understanding of iOS and Android design patterns, capabilities and constraints. 

• Ability to design complex journeys and multi-step interactions. 

• Experience using research, data and analytics to inform design decisions. 

• Ability to produce polished UI and prototypes that align with our design system. 

• Confidence navigating technical conversations and constraints. 

• Skill in balancing usability, commercial goals and technical feasibility. 

• Inclusive design awareness with attention to detail and quality.

WHO WE ARE 

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

The Role

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

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

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

Essential Responsibilities:

As a Senior Software Engineer, your responsibilities will include:

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

Desired Characteristics:

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

BENEFITS & PERKS

• Excellent medical, dental, and vision coverage

PEOPLE & CULTURE AT ZETA

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

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

ZETA IN THE NEWS!

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

#LI-NP1

Your impact 

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

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

What you will do

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

Skills and qualifications 

Essential

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

Nice to have

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

This is a remote role.

About Us
Reachdesk is the first truly end-to-end global SaaS gifting and swag platform, helping B2B companies create meaningful connections with prospects, customers, and employees, while driving measurable ROI.

We believe gifting is more than just a transaction: it’s about building genuine human connections that fuel business growth. Whether you’re engaging prospects, celebrating customers, or recognizing employees, our platform makes it easy to deliver personalized gifts, branded swag, and unforgettable event & brand experiences at scale through automated sourcing, storage, and global delivery.

We’re growing, and we’re currently looking for a Head of Business Systems & Operations to join us.

The Role

As the Head of Business Systems & Operations at Reachdesk, you will own and shape the systems and data architecture that underpin how the business operates. You will be responsible for connecting Finance, GTM, Product, and Customer teams through a single, trusted system landscape, ensuring data flows cleanly across Salesforce, NetSuite, Workato, and our BI layer. This is a high impact role where you will define how the business uses its systems, not just maintain them.

You will join at a critical stage as we complete our closed-loop architecture and transition ownership from product into the business. You will have full autonomy to design, govern, and evolve this ecosystem while embedding AI into core workflows and decision making. This role is particularly suited to someone who enjoys creating order from complexity: building a reliable, scalable foundation that the business trusts, enabling faster decisions, stronger financial control, and a step change in operational efficiency across Reachdesk.

Your Responsibilities

• Own the end-to-end systems and data architecture connecting Salesforce, NetSuite, Workato, the Reachdesk SaaS platform and the BI layer.
• Lead the transition of systems ownership into Business Operations and establish a clear operating model, governance framework, and roadmap that the business trusts and that can evolve as needs change, ensuring trusted, timely data flows across Finance, GTM, Product, and Customer teams.
• Lead from the front by setting technical direction from being in the systems alongside your team, not just reviewing their work. Define the go-forward BI architecture, ownership model, and roadmap.. 
• Complete and continuously evolve this architecture so every core process is underpinned by clean data and reliable automation.
• Establish an AI governance framework to embed AI into core workflows and decision-making, from forecasting and pipeline insights to customer health, billing, and operational automation, delivering measurable efficiency gains.
• Define and enforce master data management and integration standards across all systems.
• Partner closely with Finance, RevOps, Customer Operations, and Product to translate business priorities into scalable system solutions, balancing speed of delivery with long-term architectural integrity.
• Build, lead, and develop a small, high-performing team of systems and operations specialists, and manage external delivery partners where needed.
• Own vendor relationships, contracts, and roadmaps for our core SaaS stack, ensuring we get value, leverage, and influence over product direction, with a focus on finding efficiencies and cost savings.  
• Define and report on system health, data quality, and operational efficiency KPIs to the executive team and Board where relevant.

About You

You are a strategic systems leader with strong technical instincts and a pragmatic builder mentality. You see business systems as a competitive advantage, not a back-office function, and you are energized by the opportunity to shape the operating engine of a high-growth, PE-backed SaaS business. You understand the importance and value of data integrity and consistency, ensuring every department relies on the same core data and metrics. You are still in the system. You are as comfortable in a Salesforce flow, a NetSuite saved search, or a Workato recipe as you are in a strategy meeting. You believe leaders in this function lose their edge the moment they stop building, and you have no interest in becoming that person. You move comfortably between architecture decisions and detailed configuration, and you are equally at home in a conversation with the CFO, the CRO, or an engineer. You bring a hands-on operator mindset: you understand that great systems exist to make the business faster, sharper, and more accountable, and you measure your success by the decisions and outcomes they enable.

Must-have Qualifications

• 8+ years in Business Systems, RevOps, or BizTech leadership roles within B2B SaaS, with at least 3 years leading a function or team.
• Deep expertise across Salesforce and NetSuite, including a track record of designing and evolving the integration layer between them.
• Strong experience with iPaaS platforms (Workato strongly preferred) and modern BI tooling.
• Demonstrated ability to design and operate a closed-loop architecture, covering quote-to-cash, lead-to-revenue, and customer lifecycle, in a multi-entity, multi-currency environment.
• Demonstrably hands-on within the last 12 months and can speak in concrete detail about systems you have personally configured, automations you have built, or data models you have designed.
• Robust data governance and master data management discipline, with a clear point of view on ownership, lineage, and quality.
• Proven track record of leading complex, cross-functional systems programs end-to-end, on time and on budget.
• Excellent stakeholder management, particularly with Finance and GTM leadership, and the ability to translate technical decisions into commercial impact.
• People leadership experience with a coaching mindset, and the ability to build a small team that punches above its weight.

Preferred Qualifications

• Experience in a PE-backed, high-growth SaaS environment with tight financial control requirements.
• Familiarity with multi-stream revenue models (e.g. SaaS combined with services, marketplace, or fulfillment) and the revenue recognition complexity they bring.
• Experience embedding AI/ML or agentic automation into operational workflows, with named use cases, governance, adoption controls, and measurable business outcomes.
• NetSuite and/or Salesforce certifications.
• Experience transitioning systems ownership into a Business Operations function.
• Background working in a scaling SaaS business, comfortable operating across time zones and entities.

The Benefits

• Competitive salary with generous stock options
• 401(k) with employer match
• Medical, dental & vision insurance, including mental health support and fast access to care
• Flexible PTO that increases the longer you’re with us, plus extra flexibility for life’s unexpected moments
• A genuinely collaborative culture with innovative, fun, and ambitious people

Reachdesk believes that a diverse team helps us achieve our mission faster, and so we welcome applicants from all backgrounds. Compensation is based on standardised salary ranges by role, level, and location, benchmarked against similar-sized companies. Final offers are determined by a combination of experience, skills, and role fit, and may vary from the listed range.

Privacy Policy: We process personal information submitted as part of your application in accordance with the Reachdesk Candidate Privacy Notice. Please review Reachdesk’s Privacy Policy here: www.reachdesk.com/candidate-privacy-policy 

This is a remote role.

About Us
Reachdesk is the first truly end-to-end global SaaS gifting and swag platform, helping B2B companies create meaningful connections with prospects, customers, and employees, while driving measurable ROI.

We believe gifting is more than just a transaction: it’s about building genuine human connections that fuel business growth. Whether you’re engaging prospects, celebrating customers, or recognizing employees, our platform makes it easy to deliver personalized gifts, branded swag, and unforgettable event & brand experiences at scale through automated sourcing, storage, and global delivery.

We’re growing, and we’re currently looking for a Head of Business Systems & Operations to join us.

The Role

As the Head of Business Systems & Operations at Reachdesk, you will own and shape the systems and data architecture that underpin how the business operates. You will be responsible for connecting Finance, GTM, Product, and Customer teams through a single, trusted system landscape, ensuring data flows cleanly across Salesforce, NetSuite, Workato, and our BI layer. This is a high impact role where you will define how the business uses its systems, not just maintain them.

You will join at a critical stage as we complete our closed-loop architecture and transition ownership from product into the business. You will have full autonomy to design, govern, and evolve this ecosystem while embedding AI into core workflows and decision making. This role is particularly suited to someone who enjoys creating order from complexity: building a reliable, scalable foundation that the business trusts, enabling faster decisions, stronger financial control, and a step change in operational efficiency across Reachdesk.

Your Responsibilities

• Own the end-to-end systems and data architecture connecting Salesforce, NetSuite, Workato, the Reachdesk SaaS platform and the BI layer.
• Lead the transition of systems ownership into Business Operations and establish a clear operating model, governance framework, and roadmap that the business trusts and that can evolve as needs change, ensuring trusted, timely data flows across Finance, GTM, Product, and Customer teams.
• Lead from the front by setting technical direction from being in the systems alongside your team, not just reviewing their work. Define the go-forward BI architecture, ownership model, and roadmap.. 
• Complete and continuously evolve this architecture so every core process is underpinned by clean data and reliable automation.
• Establish an AI governance framework to embed AI into core workflows and decision-making, from forecasting and pipeline insights to customer health, billing, and operational automation, delivering measurable efficiency gains.
• Define and enforce master data management and integration standards across all systems.
• Partner closely with Finance, RevOps, Customer Operations, and Product to translate business priorities into scalable system solutions, balancing speed of delivery with long-term architectural integrity.
• Build, lead, and develop a small, high-performing team of systems and operations specialists, and manage external delivery partners where needed.
• Own vendor relationships, contracts, and roadmaps for our core SaaS stack, ensuring we get value, leverage, and influence over product direction, with a focus on finding efficiencies and cost savings.  
• Define and report on system health, data quality, and operational efficiency KPIs to the executive team and Board where relevant.

About You

You are a strategic systems leader with strong technical instincts and a pragmatic builder mentality. You see business systems as a competitive advantage, not a back-office function, and you are energized by the opportunity to shape the operating engine of a high-growth, PE-backed SaaS business. You understand the importance and value of data integrity and consistency, ensuring every department relies on the same core data and metrics. You are still in the system. You are as comfortable in a Salesforce flow, a NetSuite saved search, or a Workato recipe as you are in a strategy meeting. You believe leaders in this function lose their edge the moment they stop building, and you have no interest in becoming that person. You move comfortably between architecture decisions and detailed configuration, and you are equally at home in a conversation with the CFO, the CRO, or an engineer. You bring a hands-on operator mindset: you understand that great systems exist to make the business faster, sharper, and more accountable, and you measure your success by the decisions and outcomes they enable.

Must-have Qualifications

• 8+ years in Business Systems, RevOps, or BizTech leadership roles within B2B SaaS, with at least 3 years leading a function or team.
• Deep expertise across Salesforce and NetSuite, including a track record of designing and evolving the integration layer between them.
• Strong experience with iPaaS platforms (Workato strongly preferred) and modern BI tooling.
• Demonstrated ability to design and operate a closed-loop architecture, covering quote-to-cash, lead-to-revenue, and customer lifecycle, in a multi-entity, multi-currency environment.
• Demonstrably hands-on within the last 12 months and can speak in concrete detail about systems you have personally configured, automations you have built, or data models you have designed.
• Robust data governance and master data management discipline, with a clear point of view on ownership, lineage, and quality.
• Proven track record of leading complex, cross-functional systems programs end-to-end, on time and on budget.
• Excellent stakeholder management, particularly with Finance and GTM leadership, and the ability to translate technical decisions into commercial impact.
• People leadership experience with a coaching mindset, and the ability to build a small team that punches above its weight.

Preferred Qualifications

• Experience in a PE-backed, high-growth SaaS environment with tight financial control requirements.
• Familiarity with multi-stream revenue models (e.g. SaaS combined with services, marketplace, or fulfillment) and the revenue recognition complexity they bring.
• Experience embedding AI/ML or agentic automation into operational workflows, with named use cases, governance, adoption controls, and measurable business outcomes.
• NetSuite and/or Salesforce certifications.
• Experience transitioning systems ownership into a Business Operations function.
• Background working in a scaling SaaS business, comfortable operating across time zones and entities.

The Benefits

• Competitive salary with generous stock options
• Pension with employer contributions (NEST)
• Affordable Private Medical Insurance, including mental health support and fast access to care
• Flexible PTO that increases the longer you’re with us, plus extra flexibility for life’s unexpected moments
• A genuinely collaborative culture with innovative, fun, and ambitious people

Reachdesk believes that a diverse team helps us achieve our mission faster, and so we welcome applicants from all backgrounds.

Privacy Policy: We process personal information submitted as part of your application in accordance with the Reachdesk Candidate Privacy Notice. Please review Reachdesk’s Privacy Policy here: www.reachdesk.com/candidate-privacy-policy 

About the Role

At SharkNinja, we create intelligent, connected products that delight consumers and disrupt categories. We're growing our engineering teams across Firmware, Cloud, and Mobile App development. We are building systems that integrate hardware, software, and digital experiences using AI-driven processes to help accelerate design, coding, and testing.

Come help design and deliver the next generation of SharkNinja products from mobile applications that connect consumers to their devices, full-stack architectures that enable seamless experiences, and cross-platform solutions that bring intelligence directly to users' fingertips. You'll contribute to our existing SharkClean app platform while helping shape the future of a unified app ecosystem spanning all connected devices for SharkNinja. Together, we're making our products feel smarter every day they're in the home.

What You'll Do

• Build cross-platform solutions using React Native to accelerate feature delivery across iOS and Android.

  • Collaborate with embedded, cloud, and hardware teams to deliver end-to-end connected product experiences.

  • Design and implement full-stack system architectures that integrate mobile apps with cloud services and connected devices.

  • Write, execute, and automate tests to ensure reliability, performance, and consumer-ready quality.

  • Debug and optimize mobile app performance for consumer-scale deployment across diverse device ecosystems.

  • Work closely with cross-functional development teams spanning the entire software stack from embedded to cloud.

What You'll Bring

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• Strong experience in React Native development for iOS and Android development with deep understanding of Typescript.
• Proficiency with modern mobile development tools: VSCode, Xcode, Android Studio, Git, Gradle, CocoaPods, Swift Package Manager, etc.
• Experience working with cross-functional development teams across the software stack.
• Understanding of full-stack system architecture and mobile-to-cloud integration patterns.
• A passion for creating consumer-friendly, connected product experiences.
• Curiosity, adaptability, and a drive to be part of an A-Player engineering team.

Preferred Qualifications

• Rust for cross-platform modules, React Navigation, React Query state management, Protobuf APIs, Xcode/Android Studio build systems
• Prior work with connected devices, IoT ecosystems, or device-to-app connectivity.
• Knowledge of BLE (Bluetooth Low Energy) and WiFi connectivity protocols.
• Experience with Rust, C/C++, or other systems programming languages. Learn
• Background in robotics, consumer electronics, or smart home products.

The role

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 a high-performance inference and fine-tuning platform designed to push foundation models to their hardware limits. Our mission is to maximize throughput, minimise latency, and optimise cost-per-token across tens of thousands of GPUs.

Some directions we are currently working on, and which you can be a part of:

• Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups. Squeezing the maximum performance for a wide range of LLM architectures at scale (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-5).
• Inference engines support: Implement novel speculative decoding architectures, optimise components of various LLM designs (dense/MoE, autoregressive/parallel), and contribute to open-source inference engines.
• Low Precision Training & Inference: Design and productionise low-precision (FP8, NVFP4/MXFP4) training and inference pipelines with measurable gains in throughput and cost-efficiency.

We expect you to have:

• A profound understanding of theoretical foundations of machine learning and transformer architecture.
• Experience profiling GPU workloads using Nsight, PyTorch profiler, or similar tools
• Understanding of GPU memory hierarchy and compute/memory tradeoffs
• Familiarity with important ideas in LLM space, such as MHA, RoPE, KV-cache, Flash Attention, and quantisation
•  Understanding of performance aspects of large neural network training (sharding strategies, custom kernels, hardware features etc.)
•  Strong software engineering skills (we mostly use Python)
• Deep experience with modern deep learning frameworks
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing
• Strong communication and leadership abilities

Nice to have:

• Experience working with open-source inference engines (vLLM, SGLang, TensorRT-LLM), including contributions
• Experience with kernel languages or DSLs such as Triton, Cute, CUTLASS, CUDA
• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Strong engineering skills, including experience in developing large distributed systems or high-load web services.
• Open-source projects that showcase your engineering prowess
•  Excellent command of the English language, alongside superior writing, articulation, and communication skills.

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.

The Product

In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible.

We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale.

The Role

We are looking for a Senior Software Engineer to work on the indexing and data processing layer of a novel search engine tailored for agentic AI consumption.

In this role, you will focus on building systems that ingest, process, and organise massive volumes of data into efficient, queryable structures. You will work primarily on offline and nearline pipelines, ensuring that data is fresh, complete, and efficiently accessible by downstream retrieval systems. You will operate in an environment where throughput, scalability, and correctness are critical — designing systems capable of handling tens of gigabytes per second across continuously evolving datasets.

In this position, your responsibility will be to

• Design, implement, and operate large-scale indexing systems and data pipelines that sit at the core of our search infrastructure
• Build ingestion workflows for internal and external data sources, including web-scale crawling and structured feeds
• Develop and optimise indexing strategies balancing performance, freshness, and resource efficiency
• Work on storage formats, compaction strategies, and update mechanisms to keep data accessible and current
• Ensure reliability and predictability of pipelines under high-throughput conditions
• Build well-tested components with clear responsibilities and interaction contracts, while remaining flexible as the system evolves
• Define and implement observability primitives, including structured logs, metrics, and data quality signals across offline and nearline pipelines
• Monitor throughput, resource usage, and cost, and drive optimisations when business needs require it
• Collaborate with runtime and ML teams to ensure indexing outputs meet retrieval and ranking requirements
• Enable safe experimentation on indexing strategies and data processing logic through controlled rollouts and clearly defined quality signals

You may be a good fit if you:

• Have 5+ years of experience building production backend or data systems
• Have strong hands-on experience with Go in real-world, high-load services (experience with other systems languages such as C++ or Rust is a plus)
• Have worked on systems at significant scale — such as 10k+ RPS or 10+ GiB/sec throughput
• Have experience building or operating databases, data planes, or large-scale data pipelines
• Understand distributed systems fundamentals, including fault tolerance, failure modes, and horizontal scalability
• Have operated your own systems in production: handled incidents, made real-world tradeoffs, and understand what running data infrastructure at scale truly involves
• Think in terms of systems and data flows rather than isolated components, reasoning end-to-end about how data moves through the stack
• Can make pragmatic decisions under pressure without compromising long-term system health
• Collaborate effectively across infrastructure, ML, and product teams, communicating clearly in cross-functional settings

Strong candidates may also have experience with:

• Distributed data processing frameworks such as Spark, Flink, MapReduce, or Beam
• Content systems including web crawling, scraping, proxying, or anti-bot infrastructure
• Ad tech, social networks, or other large-scale content platforms
• DBMS internals (open source or SaaS) and cloud infrastructure
• Open-source contributions or active involvement in the engineering community
• Competitive programming or CTF participation (ICPC, IOI, or similar)
• SHAD or similar advanced technical programmes
• Conference talks or technical publications

We conduct coding interviews as part of the process.

The Product

In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible.

We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale.

The Role

We are looking for a Senior Software Engineer to work on the runtime systems of a novel search engine tailored for agentic AI consumption.

In this role, you will focus on building low-latency, high-throughput systems that serve search queries in real time. You will work on the critical path of user-facing requests, where performance, predictability, and efficiency directly impact product quality. You will design and operate systems that handle thousands of requests per second under strict latency budgets, optimising every layer from request handling to data access and response assembly.

In this position, your responsibility will be to

• Design, implement, and operate core runtime services for serving search queries at scale
• Build and optimise request flows, including query processing, retrieval orchestration, and response assembly under strict latency budgets
• Develop systems that maintain performance and predictability under high load
• Optimise CPU, memory, and data access patterns in performance-critical paths
• Ensure reliability, observability, and predictability across production services
• Build well-tested systems with clear responsibilities and interaction contracts, while remaining flexible as architecture evolves
• Define and implement observability primitives, including structured logs, metrics, traces, and latency breakdowns
• Monitor throughput, latency, and resource usage, and drive improvements in performance and cost efficiency
• Collaborate with indexing and ML teams to integrate retrieval and ranking components, keeping ML logic decoupled from core system internals
• Support experimentation and iteration through controlled rollouts and rigorous benchmarking

You may be a good fit if you:

• Have 5+ years of experience as a software engineer working on production backend systems
• Have strong hands-on expertise in C++ or Rust in real-world, high-load services
• Have built and operated high-load, low-latency user-facing systems handling thousands of RPS under strict latency constraints
• Understand performance at a systems level — CPU, memory, networking, and data access
• Have operated your own code in production: deployed it, debugged incidents, and rolled back changes when necessary
• Think end-to-end about request flows rather than staying within isolated components
• Can balance correctness, latency, and development velocity, making pragmatic tradeoffs when scope or time requires
• Collaborate effectively across engineering, ML, and product teams, communicating clearly in cross-functional settings

Strong candidates may also have experience with:

• DBMS internals (open source or SaaS) and cloud infrastructure
• High-load web applications or large-scale APIs
• Performance-critical systems such as trading platforms or real-time data pipelines
• Low-level performance tuning and hardware-level optimisation
• Open-source contributions or active involvement in the engineering community
• Competitive programming or CTF participation
• SHAD or similar advanced technical programmes
• Conference talks or technical publications

We conduct coding interviews as part of the process.

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.

New data center development:

We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.

The role

As a Field Network Engineer at Nebius, you will be responsible for providing IT support at remote locations and deploying data center IT infrastructure in new regions. Your primary focus will be managing projects and IT operations, primarily at our London, England data center, home to a major GPU cloud installation. This role requires frequent travel to support IT operations at other sites. 

You’re welcome to work in our location in London, England, UK. 

Your responsibilities will include: 

• Assist in the preparation and deployment of new infrastructure for upcoming launches.
• Troubleshoot and resolve hardware and network-related issues within our data centers.
• Manage and coordinate remote IT operations by collaborating with smart hands in co-located facilities. Be prepared to travel for on-site installations and technical support.
• Work closely with cross-functional teams and external contractors to ensure seamless project execution.
• Develop and maintain comprehensive technical documentation detailing service operations and best practices.

We expect you to have:

• 3+ years of hands-on experience in project planning and technical problem-solving.
• Strong understanding of network technologies, including data center, server and network equipment.
• Proficiency in IT hardware components, diagnostics and troubleshooting.
• Proactive, responsible, and goal-oriented mindset.
• Excellent written and verbal communication skills in English.
• Willingness to travel regularly for business trips.
• Relevant certifications (e.g., CCNA, CCNP)
• Valid Driving License 

It will be an added bonus of you have: 

• ITIL or/and PMI Certification

New data center development:

We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.

The role 

We’re looking for an IT Infrastructure Engineer to support IT operations in multiple datacenters around the world. This is a position for a datacenter hardware expert working at the intersection of multiple technical domains

You’re welcome to work in our office in London, England. 

Your responsibilities will include: 

• Solve the most challenging firmware and hardware related issues with servers, involving in-depth knowledge of system architecture, network configurations and advanced troubleshooting

• Take charge of hardware problem management and develop new solutions

•  Act as a subject matter expert and point of escalation for team members

•  Collaborate with R&D to improve our hardware designs

• Create new processes and documentation for IT hardware team

• Improve support processes and training materials

• Travel to datacenters to participate in large scale hardware projects and collaborative events

We expect you to have: 

• Knowledge of datacenters, server and network equipment

• Deep knowledge of IT hardware and practical experience of troubleshooting

• Advanced skills working with the Unix operating system and command line

• Advanced network troubleshooting skills

• Experience with equipment monitoring, data analysis and presentation

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be an added bonus if you have: 

• Technical certifications in relevant areas

• Skills in design and repairing electronic equipment

• Driving license type B

We are seeking a Senior Applied ML Engineer to join a fast-growing team building an agent-native search platform for AI systems, the emerging web access layer for AI. You will develop and deploy machine learning models that power retrieval, ranking, and indexing at scale, helping AI systems access fresh, reliable information in real time. This is a high-impact role working on a production system used 24x7, tackling challenges comparable to large-scale web search.

Your responsibilities:

• Design, train, and deploy ML models for retrieval, reranking, and search relevance in production
• Build and optimise embedding-based indexing and large-scale retrieval systems
• Develop models supporting crawling, data selection, and content understanding
• Define and improve quality metrics for agent-native search and build evaluation pipelines
• Work on systems operating at very large scale, including high-throughput query workloads
• Collaborate closely with engineering teams to integrate ML models into production services
• Analyse performance trade-offs across latency, quality, and cost
• Experiment with and apply state-of-the-art techniques in search, retrieval, and LLM-integrated systems
• Contribute to product and architectural decisions in a fast-moving environment

Must-haves:

• 5+ years of experience in software engineering or applied machine learning
• Strong programming skills in Python, Go, or C++
• Proven experience deploying ML models in production systems
• Hands-on experience with retrieval, ranking, recommendation, or similar ML problems
• Strong understanding of machine learning and modern deep learning techniques
• Experience working with large-scale data systems and high-throughput environments
• Ability to design evaluation frameworks and define meaningful model metrics
• Product-oriented mindset with a focus on impact and iteration
• Strong problem-solving skills and ability to work in a distributed team

Nice-to-haves:

• Experience with search systems or large-scale information retrieval
• Familiarity with embeddings, transformers, and modern NLP systems
• Experience working on LLM-powered or agent-based systems
• Contributions to open-source projects, technical publications, or conference talks
• Participation in competitive ML (e.g. Kaggle) or similar signals of strong technical ability

We conduct coding interviews as part of the process.

Research Engineering (Machine Learning), London 

We are looking for Research Engineers with different levels of experience - Mid through to Senior, Staff, Principal or equivalent levels.

Your impact 

This is an exciting opportunity for you to contribute to frontier research at the intersection of AI and drug design.

Working in a highly creative, iterative environment, you will be partnering with scientists and engineers to advance foundational models that will transform the biopharmaceutical world as we know it.  

You will draw upon your existing engineering and Machine Learning experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered computational biology and chemistry problems.

What you will do 

Implementation & Optimisation:

• Translate research concepts into practical implementations by developing and optimising state-of-the-art AI models, and building and maintaining robust codebases, data pipelines, and infrastructure for training and evaluation.

Experimentation & Evaluation:

• Design, implement, and run experiments to evaluate the performance and robustness of ML models, using a full spectrum of state-of-the-art machine learning methods. Evaluating, tuning, and maintaining AI/ML models (which includes collecting and preparing data as needed)

Evaluation & Inference:

• Implement algorithms and software to analyse and evaluate the performance of AI models.
• Optimising performance of AI/ML models such as Diffusion models, Transformers, GNNs, leveraging a deep understanding of the AI/ML hardware+software stack
• Advise on how to bring AI/ML models to production and/or integrating them into product offerings, and monitoring and refining their behavior.
• Developing specialised tools/frameworks/infrastructure to aid in the work above

Collaboration & Knowledge Sharing:

• Work closely with research scientists and engineers, contributing to team discussions, sharing knowledge, and actively participating in code reviews to foster a collaborative environment.

Innovation & Impact:

• Proactively identify and address technical challenges, stay updated on the latest AI advancements, and focus on developing solutions that enable scaling our wider foundation and applied model platforms.
• Ability to execute on independent engineering projects and software development towards research goals.

Skills and Qualifications

Essential

• PhD in technical subject with major engineering component and exposure to AI/ML, or BSc, MSc and 2+ years of specific experience working on ML model development:
• Strong general engineering experience, as evidenced by exposure to one or more of:
• Software design / algorithms, especially for deep learning frameworks
• Modern ML frameworks such as JAX, PyTorch or TensorFlow
• Distributed systems and runtimes
• Compilers (e.g. XLA, Triton, CUDA, Pallas, …)
• Large scale model training and serving infrastructure
• Experience in navigating complex research codebases
• Databases and data processing pipelines
• Numerical methods, simulation, optimisation

• Strong fundamentals in mathematics, statistics, linear algebra
• Experience with the full ML research and development lifecycle.
• Strong understanding of ML theory and applications.
• Strong understanding of data structures and algorithms.

Nice to have

• Interest in chemistry and biology.
• Experience working with biomedical data.
• Knowledge of the pharmaceutical industry, ideally with a focus on drug discovery.

To learn more about our team and office culture in London, England (UK), visit the following links. 
Careers Page: https://www.knowbe4.com/careers/locations/york
Glassdoor: https://www.glassdoor.com/Location/KnowBe4-York-Location-EI_IE969384.0,7_IL.8,12_IC3297365.htm
LinkedIn: https://www.linkedin.com/company/knowbe4/life/uk/

The Channel Sales Engineer is a vital member of the Channel Sales  team having primary responsibility for providing pre-sales technical support to prospective partners/clients for all KnowBe4 products as well as partners’ prospective customers. This position will help identify key customer requirements and position KnowBe4 products as they meet those applicable requirements. The position will also educate current partners on KnowBe4 products to enable them in supporting their clients. In addition, this position will collaborate directly with other business units such as technical support to address complex technical issues.

Responsibilities:

• Communicate directly with prospective partners to gather details to fully define technical issues or customer requirements
• Communicate with partners and their prospects to facilitate the sale of KnowBe4 products with a high focus on maintaining strong and collaborative partner relationships.
• Help to create brand awareness for KnowBe4 products in the context of Reseller interests.
• Establish relationships with partners, prospects and existing clients in support of Partner Program objectives while engaging and leveraging corporate resources, abilities, budgets and personnel as appropriate.
• Address technical issues that are impeding the closing of sales opportunities. 
• Work alongside Channel Account Managers to implement and manage technical proof-of-values (POVs) for prospective partners/clients.
• Act as primary technical contact for prospective partners/clients
• Educate current partners on KnowBe4 products, with emphasis on tech enablement.
• Investigate and document technical issues and communicate findings to development team or clients as required
• Create, maintain, and facilitate use of test environments for qualified partners.
• Assist Channel Account Managers in leveraging all available Sales Engineering resources according to policy and procedure. 

Minimum Qualifications:

• 2 year degree or technical degree preferred
• 2 years of technical sales or sales engineering experience required.
• Experience with Gmail and Google Docs
• Experience with MS Office (Word and Excel)
• Experience with web browsers (Chrome, Internet Explorer, etc.)
• Excellent verbal and written communications
• Highly organized and result-oriented
• Excellent time management and organization skills
• Can demonstrate technical troubleshooting and analysis ability
• Can demonstrate integrity, accountability, respect and commitment
• Strong collaborative and teamwork skills
• Must be able to work with minimal supervision

Role Overview 

We are seeking a Senior Infrastructure Engineer with expert-level knowledge across Microsoft 365, Azure, and related technologies. You will play a critical role in managing, supporting, and evolving Schillings’ infrastructure, ensuring our systems are secure, reliable, and aligned with organisational needs. 

Working closely with the IT Director, you will act as a technical expert across core platforms including Intune, Entra ID, Exchange Online, Microsoft Teams, SharePoint Online, and Azure. You will also provide support for Meraki networking, and other business applications used across the firm. 

This role is ideal for a hands-on engineer who enjoys end‑to‑end ownership, technical problem-solving, and contributing to strategic improvements. 

Key Responsibilities 

Infrastructure Management & Support 

• Own the day‑to‑day management of Schillings’ Microsoft 365 and Azure environments. 

• Administer, maintain, and optimise core M365 services: 

• Intune (device, app, and compliance management) 

• Entra ID (identity, conditional access, security posture) 

• Exchange Online 

• Microsoft Teams 

• SharePoint Online 

• CoPilot 

• Deliver 3rd line support for complex technical issues, acting as the escalation point for the wider IT function. 

• Oversee, manage, and respond to tickets, ensuring consistent service levels and timely resolution. 

• Build and maintain a documentation repository and knowledge hub.  

Cloud, Security & Device Management 

• Manage Azure resources including VMs, networking, identity, automation, and monitoring. 

• Oversee device lifecycle management across Windows, IOS, and mobile endpoints via Intune and Apple Business Manager. 

Networking & Infrastructure 

• Support and maintain Cisco Meraki networking (switching, firewalls, Wi‑Fi,). 

AI, Copilot, and Automation Expertise 

• Strong working knowledge of Microsoft Copilot across M365, including configuration, governance, and user enablement. 

• Experience deploying, administering, and optimising Copilot for Microsoft 365 capabilities such as: 

• Copilot in Teams, Outlook, Word, Excel, and SharePoint 

• Security, data access, and permissions considerations for safe Copilot use 

• Monitoring usage, adoption, and effectiveness 

• Understanding of responsible AI practices, data governance, and least‑privilege access related to AI‑driven tools. 

• Ability to identify processes that can be improved or automated using Copilot, Power Automate, Azure AI services, or other low‑code tools. 

• Support the development and rollout of Power Platform solutions (Power Automate, Power Apps). 

• Identify opportunities to automate manual processes and improve efficiency. 

Applications & Additional Platforms 

• Provide support for business applications including our DMS and PMS.  

• Assist with vendor management, system upgrades, and integration projects. 

Mentoring & Team Development 

• Mentor, coach, and support colleagues to build skills, confidence, and capability. 
• Provide guidance on best practices, troubleshooting approaches, and effective use of tools. 

Skills & Experience Required 

Essential 

• Expert-level administration experience in: 

• Intune 

• Entra ID / Azure AD 

• Exchange Online 

• Teams 

• SharePoint Online 

• CoPilot 

• Strong Azure platform experience (VMs, networking, security, monitoring). 

• Solid experience with Cisco Meraki networking. 

• Proven experience in managing and prioritising support tickets. 

• Experience mentoring, guiding, or supervising junior technical staff. 

• Strong security awareness and identity-driven security understanding. 

• Excellent communication, documentation, and problem-solving skills. 

Desirable 

• Power Platform knowledge (Power Apps, Power Automate). 

• Experience with iManage or similar business applications. 

• Previous work in legal, professional services, or consultancy environments. 
• Experience contributing to infrastructure transformation, cloud migration, or modernisation programmes. 

Personal Attributes 

• A natural mentor and team player with strong leadership instincts. 

• Calm under pressure with excellent prioritisation skills. 

• Proactive, forward‑thinking, and committed to continuous improvement. 

• Strong sense of ownership and accountability. 

• Clear, confident communicator with excellent stakeholder engagement skills. 

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

Bristol or London, 3 days in the office, 2 days WFH

At Fractile, we’re building what we believe will be the world’s fastest AI inference chip from the ground up. We’re balanced across hardware and software engineering, and HW/SW co-design is real here. We move fast, and we help each other move fast. We care about each other, the software we ship, and the people who rely on it.

To validate behaviour, our functional simulator allows us to iterate at scale with real software before the hardware exists. It runs across multiple machines, supports large experiments, and helps verify the correctness of our low level firmware, runtime stack and compiler lowering.

You’ll be there for the first end-to-end runs against realistic device behaviour, the debugging sessions that unblock whole teams, and the moments where simulator fidelity turns into better software, better silicon decisions, and faster bring-up.

What you’ll do

• Build a functional simulator of Fractile’s AI accelerator hardware including a custom ISA
• Implement the device models and behaviours that matter for software correctness: MMIO, interrupts, DMA, memory behaviour, concurrency, and error paths
• Work closely with runtime, kernel, firmware and HW engineers to shape simulator interfaces
• Make it usable at scale: tracing, determinism/reproducibility, CI integration, and containerised workflows
• Collaborate daily with hardware, software, and ML engineers to validate assumptions and close gaps early

What we’re looking for

• Strong C and comfort working in large low-level codebases
• Good intuition and knowledge of low-level hardware behaviour: registers/MMIO, interrupts, memory ordering, concurrency, and failure modes
• You enjoy hard system-level problems, and you take them end-to-end until the results are measurable
• Computer Science, Electronic Engineering, Maths, Physics, or related degree and 3+ years of industry experience

Nice to have

• You’ve built or extended hardware simulators or emulators.
• SystemC experience
• QEMU device model experience is ideal, even better in the TCG
• Docker and orchestration tooling (Kubernetes)
• Familiarity with RISC-V and x86 architectures
• Python experience useful

If you want to build the simulator that makes rack-scale software real before rack-scale hardware exists, come build it together.