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

Job Overview

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

Responsibilities and Duties

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

Qualifications

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

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

What We're Looking For

We’re looking for a Backend Engineer to help develop and scale the Lightning AI platform, spanning APIs, infrastructure, billing, security, and integrations. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Extensive experience writing efficient, maintainable code in Go. Familiarity with best practices in testing, readability, and optimization is essential.
• Broad knowledge of backend and frontend systems, with experience building and scaling APIs, CLI tools, billing systems, and security protocols. Exposure to frontend frameworks is a plus.
• Experience with cloud platforms like AWS, GCP, or Azure and designing systems that are reliable, performant, and scalable. Familiarity with containerization (Docker, Kubernetes) is a strong advantage.
• Proven ability to take ownership of key features and drive end-to-end development
• Commitment to software quality, test automation, and continuous delivery. Experience proactively managing technical debt and speeding up time to production.
• Hands-on experience as a backend or product engineer in a SaaS technology company
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

We are hiring a Senior Security Engineer to protect the people, infrastructure, and tooling that goes into building and hosting Mattermost. This is a hands-on, high-impact role at the intersection of enterprise security engineering, cloud information security, and AI-enabled threat response.

Why Join Mattermost

•   Fully remote, globally distributed team | no commute, genuine flexibility
•   Be a key voice in shaping and delivering security strategy
•   Competitive salary, equity, and benefits with meaningful work attached

The Role

As a Senior Security Engineer, you will lead the design and implementation of security tooling, harden our cloud and IT infrastructure, and serve as a key responder to incidents. You will work across a globally distributed team and partner closely with Engineering to manage AI-enabled risk.

Key Responsibilities

• Lead security and IT projects to enhance the security posture of infrastructure and the company
• Detect, investigate, and remediate security incidents using SIEM, EDR, and SOAR tooling (e.g. CrowdStrike, SentinelOne)
• Conduct threat hunting across cloud and endpoint environments using a Zero Trust framework
• Administer company-wide IAM and security monitoring infrastructure
• Contribute to security policies, incident response, forensics, and endpoint management programmes
• Partner with Engineering to assess and mitigate risks from AI-enabled tools and workflows
• Explore and implement AI/automation in detection, analysis, and response pipelines
• Engage closely with North American and international staff across time zones

Required Background & Skills

•   Bachelor’s degree in Computer Science or a related field, or significant professional security experience
•   3+ years of hands-on experience in security engineering and incident response
•   Experience with SIEM platforms and security monitoring systems
•   Experience with EDR tools such as CrowdStrike or SentinelOne
•   Knowledge of SOAR platforms and automation of security workflows
•   Familiarity with Zero Trust architecture principles and threat hunting methodologies
•   Experience with cloud security controls across AWS, GCP, and/or Azure
•   Strong knowledge of Linux systems and Kubernetes/Docker environments
•   Experience with IAM solutions and infrastructure automation
•   Practical experience evaluating security implications of AI systems and AI-assisted workflows
•   Experience managing security of Microsoft 365 and Google Workspace tenants
•   Excellent written and verbal communication skills

Preferred Background & Skills

• Experience with certification processes: SOC2, ISO 27001, FedRAMP, or Cyber Essentials Plus 
• Certifications: OSCP, GCIH, GCFA, or equivalent penetration testing / incident response credentials
• Experience in Go or Python
• Background in open-source communities
• Endpoint security management experience in a fully remote organisation

Export Control & Eligibility

This role may involve access to information subject to U.S. export control regulations (EAR/ITAR). Applicants should be aware that eligibility requirements may apply. We encourage candidates with questions about this to reach out. Many Spain-based security professionals with defence backgrounds will qualify. We are happy to discuss your specific situation.

Mattermost takes a market-based approach to pay and pay may vary depending on your location. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Mattermost is the secure collaboration platform trusted by Global organizations. Our platform runs on-premises, cloud, and in air-gapped environments, enabling mission-critical workflows from the tactical edge to the enterprise HQ, where data sovereignty and operational security are non-negotiable.

We are hiring a Senior Security Engineer to protect the people, infrastructure, and tooling that goes into building and hosting Mattermost. This is a hands-on, high-impact role at the intersection of enterprise security engineering, cloud information security, and AI-enabled threat response.

Why Join Mattermost

•   Fully remote, globally distributed team | no commute, genuine flexibility
•   Be a key voice in shaping and delivering security strategy
•   Competitive salary, equity, and benefits with meaningful work attached

The Role

As a Senior Security Engineer, you will lead the design and implementation of security tooling, harden our cloud and IT infrastructure, and serve as a key responder to incidents. You will work across a globally distributed team and partner closely with Engineering to manage AI-enabled risk.

Key Responsibilities

• Lead security and IT projects to enhance the security posture of infrastructure and the company
• Detect, investigate, and remediate security incidents using SIEM, EDR, and SOAR tooling (e.g. CrowdStrike, SentinelOne)
• Conduct threat hunting across cloud and endpoint environments using a Zero Trust framework
• Administer company-wide IAM and security monitoring infrastructure
• Contribute to security policies, incident response, forensics, and endpoint management programmes
• Partner with Engineering to assess and mitigate risks from AI-enabled tools and workflows
• Explore and implement AI/automation in detection, analysis, and response pipelines
• Engage closely with North American and international staff across time zones

Required Background & Skills

•   Bachelor’s degree in Computer Science or a related field, or significant professional security experience
•   3+ years of hands-on experience in security engineering and incident response
•   Experience with SIEM platforms and security monitoring systems
•   Experience with EDR tools such as CrowdStrike or SentinelOne
•   Knowledge of SOAR platforms and automation of security workflows
•   Familiarity with Zero Trust architecture principles and threat hunting methodologies
•   Experience with cloud security controls across AWS, GCP, and/or Azure
•   Strong knowledge of Linux systems and Kubernetes/Docker environments
•   Experience with IAM solutions and infrastructure automation
•   Practical experience evaluating security implications of AI systems and AI-assisted workflows
•   Experience managing security of Microsoft 365 and Google Workspace tenants
•   Excellent written and verbal communication skills

Preferred Background & Skills

• Experience with certification processes: SOC2, ISO 27001, FedRAMP, or Cyber Essentials Plus 
• Certifications: OSCP, GCIH, GCFA, or equivalent penetration testing / incident response credentials
• Experience in Go or Python
• Background in open-source communities
• Endpoint security management experience in a fully remote organisation

Export Control & Eligibility

This role may involve access to information subject to U.S. export control regulations (EAR/ITAR). Applicants should be aware that eligibility requirements may apply. We encourage candidates with questions about this to reach out. Many UK-based security professionals with defence backgrounds will qualify. We are happy to discuss your specific situation.

Mattermost takes a market-based approach to pay and pay may vary depending on your location. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

We are looking for a Cloud Support Engineer who thrives on helping customers get the most out of Pulumi — supporting teams as they adopt, scale, and evolve their infrastructure-as-code practice using real programming languages, automation, and developer-first workflows.

We are seeking a technical and empathetic Cloud Support Engineer to join our growing customer operations team at Pulumi. As a founding member of our support team, you will play a crucial role in defining the function while providing technical assistance and support to our ever-growing customer base. You will ensure the smooth operation and optimal utilization of our infrastructure-as-code platform. This is an excellent opportunity to work with cutting-edge technologies and be part of a fast-growing company at the forefront of our industry.

At Pulumi, you’ll be challenged, continue learning, share knowledge with others, and collaborate with a talented and supportive team.

While Pulumi is headquartered in Seattle, WA., we are dedicated to being a remote first company and this role can be located anywhere in the United Kingdom or Spain.

In This Role You Will:

• Provide technical support and assistance to customers via various communication channels (e.g., email, chat, community) regarding IaC best practices and DevOps concepts.
• Troubleshoot and resolve customer issues related to infrastructure deployments, configuration management, automation, and other infrastructure-as-code topics.
• Collaborate with cross-functional teams, including engineering, product, and sales to identify and resolve complex technical and business issues.
• Actively contribute to the creation and maintenance of technical documentation, including FAQs, knowledge base articles, and troubleshooting guides.
• Stay updated with the latest trends and best practices in IaC, DevOps, cloud services (AWS, Azure, GCP, K8s) and related technologies.
• Participate in on-call rotations to provide after-hours support when necessary.

We’re Looking For Someone With:

• Minimum of 5 years of experience in a related field, with a strong focus on Infrastructure as Code, DevOps, and code or scripting.
• Proficiency in infrastructure-as-code concepts and tools, such as Pulumi, Terraform, Cloudformation and CDK.
• In-depth knowledge of cloud service providers, including AWS, Azure, GCP, and Kubernetes.
• Comfortable authoring readable maintainable code in one or more of the following; Python, TypeScript, GO, or Java.
• Experience using AI-powered support tools and assistants (e.g., LLM-driven troubleshooting tools, AI agents, or copilots) to accelerate customer issue resolution, improve diagnostic accuracy, and enhance knowledge base contributions.
• Strong troubleshooting and problem-solving skills, with the ability to analyze and resolve complex technical issues.
• Certification(s) in relevant technologies, such as AWS Certified DevOps Engineer, Azure DevOps Engineer Expert, or Certified Kubernetes Administrator (CKA).
• Excellent communication skills, both written and verbal, with the ability to effectively convey technical concepts to both technical and non-technical audiences.
• Self-motivated and able to work independently as well as collaboratively in a team environment.
• Strong attention to detail and a commitment to delivering high-quality customer support.

Compensation:

• Base Salary Hiring Range (Spain): £60,000 to £111,000
• Base Salary Hiring Range (UK): €52,000 to €97,000
• All full-time employee offers at Pulumi include base salary, bonus or variable, equity and benefits (details below). 

This position is 100% remote anywhere in the UK

Overview:

The Territory Field Partner Sales Manager is responsible for generating partner-influenced revenue and driving joint business execution across Precisely’s priority channel partners and technology alliances. This role manages local Field quota tied to partner opportunities, orchestrates co-selling motions, drives pipeline creation, and ensures high-impact collaboration between Precisely sellers and partner account teams. The individual will play a critical role in building a scalable partner ecosystem and accelerating regional growth.

What you will do: 

• Carry the local Field quota for Channel Sales and Tech Partner influenced revenue.
• Own Field Sales opportunities where partners are involved, including Field lead generation and closing local partner-attached deals.
• Manage timely quote creation, pricing, and approval workflows for all Field Partner deals.
• Maintain strong Field Sales relationships with Priority Channel Partners and Technology Partners.
• Review local partner pipeline regularly, identify gaps, and collaborate on cross-sell strategies to strengthen pipeline coverage.
• Lead and orchestrate joint account planning with partner AEs and Precisely AEs using mutually agreed customer lists.
• Own and progress Field opportunities originating from Tech Partner Marketplaces (e.g., AWS, Azure, GCP).
• Identify and flag potential new partners for recruitment to the Channel Management organization.
• Attend local partner marketing events (Channel and Tech Partners) to support demand generation and awareness.
• Source and coordinate local partner speakers for Precisely marketing activities, webinars, or in-person events.

 What we are looking for:

• Ability to build strong relationships at all levels — with partners, prospects, customers, and internal teams.
• Proven sales execution skills with ability to influence, negotiate and close partner-involved business.
• Self-starter with strong planning, organization, technical and administrative competencies.
• Excellent verbal, written communication and presentation skills.
• Strong business acumen with understanding of indirect sales motions and partner ecosystems.
• Strong analytical, problem-solving and time-management skills.
• Ability to manage multiple workstreams, prioritize effectively and operate with high productivity.
• Basic to intermediate understanding of data technology, cloud ecosystems, partner marketplaces, and modern software architectures.

PREFERRED REQUIREMENTS

• Bachelor’s degree in Business or related field, or equivalent experience.
• Demonstrated experience (5+ years preferred) in channel sales, partner management, or enterprise technology sales.
• Experience working with technology alliances, cloud marketplaces, or ISV/channel programs.
• Familiarity with data-related solutions, including Data Governance, Data Quality, Data Observability, Data Integration, Data Enrichment, Location Intelligence, Cloud Data Warehouse / Analytics Platforms.

#LI-IH1

Role Specificities

We’re looking for an engineer who is independent and excited about getting things done. You'll be responsible for building and improving the enterprise endpoint infrastructure and have ownership of the service and its impact on employee productivity at Wave. You will own the entire endpoint stack and be responsible for administration of all enterprise infrastructure, planning and implementation of systems as we rapidly scale our business.

In this role you’ll:

• Join an autonomous team focused on a single area of Wave’s IT org. You will report directly to the IT Director. Typically, you'll be responsible for endpoint Infrastructure end-to-end, from design through deployment and maintenance.
• You will be joining at a time of transformation, in the IT organisation evolving from a flat team structure to areas of skilled ownership.
• Along with the business growing at a pace, taking ownership of projects and business needs such as:
  • Design, build, implement, and maintain scalable and performant endpoint management infrastructure to facilitate best-in-class security of the Wave fleet comprising macOS,  ChromeOS, Windows, iOS, and Android endpoints.
  • Deliver critical endpoint management efficiencies and capabilities through bespoke software development and implementation of both industry-standard open source tooling and first-party software solutions.
  • Employ modern Infrastructure-as-Code (IaC) methodologies, develop GitOps-driven solutions to deliver consensus-based fleet management capabilities at scale.
  • Build and maintain CI/CD pipelines for fleet management infrastructure, deploying to progressively tested environments across multiple clouds (Azure, GCP) and geographies (Africa and global remote workforce).
  • Drive initiatives to adopt emerging technologies, industry best practices, and optimise processes for scalability and operational efficiency.
  • Partner with cross-functional teams to ensure seamless endpoint user experiences while maintaining strict security standards and continually increasing the bar.

Key Details

• This is a fully remote role. Candidates must be based in one of our talent hub countries (UK, Spain, USA, Canada, Kenya and Ghana) or in one of our operating markets in Africa including Senegal, Côte d'Ivoire, or Burkina Faso. Your working hours must align with GMT +/- 1, with reliable Internet access as long as you have work authorization.
• Every year, you’ll travel to Africa for a one-week immersion trip. (Wave covers all costs.)
• Our salaries are competitive and are calculated using a transparent formula. For this role, depending on your experience level and location, we are offering a salary range of $133,100 to $194,200 USD (paid in your local currency equivalent) plus a generous equity package.
• Major benefits:
  • Subsidized health insurance for you and your dependents and retirement contributions (both vary from country to country)
  • 6 months fully paid parental leave and subsidized fertility assistance
  • Unlimited vacation with a 20-day minimum requirement
  • $10,000 annual charitable donation matching

Requirements

• Minimum 5 years of professional experience as an Endpoint Engineer.
• Experience as a Endpoint Engineer managing multiple, international sites, including single sites of 2,000+ endpoints.
• Good communication skills with stakeholders and expectation management.
• Successful candidates must be willing to travel to our operating countries when required as part of your regular duties. For the first year, up to 50% travel may be required  to review all the current setups.

You might be a good fit if you 

• Proficient in a modern programming (Python) and scripting (Python, Bash, Powershell) languages
• Extensive hands-on experience with Jamf PRO, Google Workspace and Microsoft Intune to ensure comprehensive secure fleet management as well as experience with similar cloud identity providers.
• Demonstrated success and experience with open source endpoint management tooling for configuration management, mobile device management, application management, and telemetry such as Salt, Puppet, Munki, Nano/MicroMDM, osquery, Autopkg, ChromeBrew, WinGet, apt etc.
• History of developing and delivering secure, reliable, scalable, and technology solutions.
• Deep knowledge and experience managing corporate infrastructure at scale with Infrastructure-as-Code (IaC) practices & GitOps workflows (Terraform, Ansible, Chef, etc.)
• Experience integrating and operating fleet management infrastructure with CI/CD pipelines and DevOps workflows.
• Proven track record of deploying and operating fleet management infrastructure in public cloud environments (Azure, GCP).
• Familiarity with compliance frameworks such as SOC 2, ISO 27001 and NIST.
• Strong soft skills, including stakeholder communication and cross-functional collaboration.
• Speak French, or are interested in learning.
• Are excessively detail-oriented and seek to achieve excellence in everything you do.
• Are a self-starter and proactive about achieving ambitious targets.
• Love owning projects - you're autonomous yet know when to escalate problems.
• Willing to go the distance to get something done.
• Are comfortable defaulting to over-communication and overreaching when it comes to coordination.

How you'll help us achieve it

Wave is now the largest financial institution in Senegal and Côte d'Ivoire, with millions of users, growing rapidly year-on-year. And, we’re still in the early days of our product roadmap and potential impact on people’s everyday lives.

We’re looking for an experienced security engineer who’s independent, excited about getting things done, and ready to hit the ground running. You'll primarily be responsible for our application security, working with our product teams to work on new systems to enhance our security posture. Our customers trust us with their money, and you’ll be at the forefront of making sure we retain that trust!

This broadly scoped role will allow you to get your hands on many different types of security projects, from direct application security to helping our infrastructure team think about security for our databases. 

Some experience with common industry certifications like ISO-27001 and PCI-DSS would be beneficial, although you won’t be expected to run or oversee audits.

Our to-do list changes constantly, but here are some recent projects and activities:

• Centralise application-level login and permissions enforcement
• Configure and utilise external SIEM solutions to monitor our infrastructure
• Help us increase our posture around secret management
• Security review of our public-facing APIs
• Partner with teams across Wave to define secure guardrails, supporting investigations and incident response
• Work with our IT Team to fix any non-conformities found during audits by central banks and ISO certification

Our stack (prior experience is a strong plus, but not required):

• backend: Python 3 (+ mypy)
• API layer: GraphQL
• android frontend: Kotlin/Jetpack
• iOS frontend: Swift/SwiftUI
• web frontend: TypeScript/React
• database: Postgres/CockroachDB
• infrastructure: GCP/Terraform
• orchestration: Kubernetes

Key Details

• This is a fully remote role. Candidates must be based in one of our talent hub countries (UK, Spain, Kenya and Ghana) or in one of our operating markets in Africa including Senegal, Côte d'Ivoire, or Burkina Faso.
• Wave provides a yearly $1,200 stipend to support coworking meetups with teammates.
• Remote team members are expected to travel to our operational markets (e.g. Senegal or Côte d'Ivoire) at least once a year. Exceptions apply, but we’ve found this key to understanding our users and product.
• Our salaries are competitive and are calculated using a transparent formula. For this role, depending on your level and location, we offer a salary of up to $227,900 USD, plus a generous equity package.
• Major benefits:
  • Subsidized health insurance for you and your dependents and retirement contributions (both vary from country to country).
  • 6 months of fully paid parental leave and subsidized fertility assistance.
  • Flexible vacation, with most folks taking between 21-30 days exclusive of statutory holidays.
  • $10,000 annual charitable donation matching.

Requirements

• Minimum of 5 years of professional experience with a minimum of 2 years of it spent in a security-related role.
• Strong Experience with Python.
• Fluent English.

You might be a good fit if you

• Are excited about finding the right balance between security and velocity. 
• Push through hard problems without giving up.
• Have experience remediating non-conformities.
• Enjoy helping other engineers understand and implement secure patterns.
• Are not afraid to take on complicated systems.
• Are excited to work on lots of different security-related work, from audits to code refactors. 
• Work to make things easier for the next engineer who will touch your code.
• Always try to improve as a programmer and colleague.
• Are interested in security-focused source code review and penetration testing.
• Have an interest in growing and mentoring a team.

About engineering at Wave

We care about the big picture. We don’t hire engineers to just ship tickets. We hire them to solve problems. That means caring deeply about outcomes, understanding context, and jumping in wherever something’s broken, even if it’s technically “not your area.” When we see problems, inefficiencies, or opportunities to make something better, we act. We dig into operational issues, clarify fuzzy product specs, or step into unfamiliar code to help unblock teammates.

We move as fast as possible. Speed matters. It lets us try things quickly, get feedback early, and course-correct while it’s cheap. So we write small PRs. We aim for MVPs. We leave TODOs and file follow-ups. We don’t over-perfect v1. That said, we’re building a financial product. Some things—like money movement, correctness, or security—deserve more caution.

We like boring technology. We favor tools that are reliable, well-understood, and easy to debug. This keeps us focused on solving meaningful problems instead of wrestling with unpredictable infrastructure. If a new technology helps us move faster, build safer, or solve a real need, we’ll consider it. But we don’t adopt tools just because they’re new—we adopt them because they’re right.

Simplicity is a strategy. It lets us focus our energy where it matters most: serving our users.

#LI-DH1 #LI-REMOTE

Overview of Role

As an Agile Technical Delivery Manager, you will be responsible for overseeing the development and delivery of technical projects in a fast-paced, client-centric environment. You will work closely with clients to understand their needs, guide a team of technical professionals, and ensure that projects are completed on time, within budget, and to the highest quality standards. This role is ideal for an individual with a strong technical background, excellent project management skills, and a passion for delivering exceptional service to clients. If you are looking to make a significant impact in a fast-paced and growing professional services firm, we would love to hear from you.

Responsibilities:

Client Engagement

• Build and maintain strong relationships with clients.
• Communicate regularly with clients, keeping them informed of project progress and addressing any concerns.
• Work closely with clients on site minimum 3 days a week.

Project Management

• Lead and own the success of an engagement using Agile methodologies, ensuring fast-paced and efficient delivery.
• Understand client's desired business outcomes, the engagement’s scope of work and align them within a backlog.
• Manage project timelines, budgets, and resource allocation.
• Identify, assess, and mitigate project risks and issues.
• Review timesheets and make sure they accurately reflect the team’s work.
• Ensure accurate and timely documentation throughout the engagement.

Technical Delivery Governance

• Understand the key components of the solution and their relationship to the scope and the desired business outcomes.
• Provide delivery guidance and oversight on how to align the technical components design and implementation with the delivery timeline throughout the project lifecycle.
• Ensure the delivery feasibility of proposed technical components.

Quality Assurance

• Ensure that all deliverables meet quality standards and client expectations.
• Implement quality control processes throughout the project lifecycle.

Team Leadership

• Lead and mentor a team of technical professionals, including architects, engineers, and QA specialists.
• Foster a collaborative and high-performing team environment.
• Conduct regular team meetings and ensure clear communication of project objectives and progress.

Qualifications

Delivery Requirements

• 8+ years of proven experience in technical project management, preferably in a consulting environment.
• Strong, demonstrable knowledge of Agile methodologies (Scrum and Kanban).
• Experience delivering complex, multi stream projects at enterprise level, ideally in financial services or digital natives.
• Excellent leadership and team management skills.
• Strong problem-solving and analytical skills.
• Excellent communication and interpersonal skills.
• Experience with project management tools (e.g., JIRA, Confluence).
• Ability to manage multiple projects simultaneously.

Technical Requirements

• Deep understanding of data management, advanced analytics and visualization concepts.
• Hands on technical experience of delivering data, analytics and AI projects.
• Strong knowledge of cloud ecosystems and their key products (preferably GCP).
• Strong grasp of AI/ML solutions and their required delivery components.
• Ability to understand technical components of data, analytics and AI solution architecture.

Are you an experienced full service Project Manager in the field of clinical trials who’s engaged in addressing the challenges facing the research and development of novel compounds in Oncology. Are you passionate about impacting the health and lives of patients around the world? Do you take a consultative approach to trial management, proving to be a valuable partner in trial operational delivery?

Precision for Medicine are looking to hire a (Senior) Project Manager ideally with experience in Oncology who have managed full service clinical trials within a CRO setting to join our global team.

In this pivotal role you will have full service oversight for clinical projects across global/regional (ph I-IV) trials, within Oncology (or Rare Diseases or CNS).  Accountable for clinical project delivery, oversight of all functional departments, and ensuring agreed timelines, scope, cost and quality.

Involved in all study stages, including proposal strategy, development, costing, and bid defence, and seeing studies through the full cycle to completion, managing the client relationship, project team and budget and timelines throughout.

You will work in a cross-functional team with both internal and external stakeholders, driving quality and coordinating the study team.

We offer an amazing high-energy, dedicated, collaborative team members who enjoy a challenge, thrive in the details and flourish in dynamic environments. If you are no stranger to taking charge and seek positive teamwork to deliver extraordinary work, we have an opportunity for you.

How we will keep you busy and support your growth:

• You will independently lead clinical projects in accordance with the study budget and scope of work. You will use your strong interpersonal and organizational skills to set and achieve objectives in the execution of the projects; both contracted objectives and financial objectives. You may be called upon to run international trials as well.
• Serve as the primary point-of-contact liaison with the client to provide excellent customer service, including participation in proposal activities and client presentations
• Liaise with Project Team and senior management of both Precision and sponsors, including C level
• Handle and lead all aspects of a clinical research trial or trials
• Total project management for all functional areas including data management, safety, clinical, medical monitoring and biostatistics, etc.
• Prepare project status updates for clients and management; identifying key deliverables and performance metrics of success and escalation.
• Serve as an active member of the Project Team with the goal to contribute towards efficient management and execution of trials
• Prepare and reviews protocols and other study documentation such as project plans, inform consents, site contracts and budgets

Requirements:

• Degree or similar related life science qualification, or equivalent combination of education and experience.
• Previous experience in a full service/global Project Management role working in the CRO industry is essential.
• 5 to 7 years industry experience and at least 4 years full service Project Management experience in a clinical trial setting working for a Clinical Research Organisation.
• Experience managing studies within Oncology 
• Working understanding of GCP/ICH guidelines and the clinical development process
• Ability to drive and availability for domestic and international travel including overnight stays
• Be able to communicate effectively in the English language both written and spoken
• Strong presentation skills
• Proven computer skills (MS Office, MS Project, PowerPoint) and software experience (CTMS, eTMF, EDC, IXRS)
• Proven ability to develop positive working relationships with individual and teams internally and externally
• Demonstrated core understanding of medical terminology and clinical trial activities as it relates to the execution of a clinical development plan

Precision for Medicine's uniquely integrated offering enables the science of precision medicine by combining novel clinical trial designs, industry-leading operational and medical authorities, advanced biomarker and data analytics solutions, and an unequivocal real passion for rare diseases and oncology.

We are a people focussed CRO with a supportive and collaborative environment which promotes work life balance and encourages team development. 

We invite you to learn more about our growing organization serving our clients that are researching ground-breaking cancer therapies. We strive to ensure employees feel appreciated for the contributions they make every single day.

Are you an experienced full service Project Manager in the field of clinical trials who’s engaged in addressing the challenges facing the research and development of novel compounds in Oncology. Are you passionate about impacting the health and lives of patients around the world? Do you take a consultative approach to trial management, proving to be a valuable partner in trial operational delivery?

Precision for Medicine are looking to hire a (Senior) Project Manager ideally with experience in Oncology who have managed full service clinical trials within a CRO setting to join our global team.

In this pivotal role you will have full service oversight for clinical projects across global/regional (ph I-IV) trials, within Oncology (or Rare Diseases or CNS).  Accountable for clinical project delivery, oversight of all functional departments, and ensuring agreed timelines, scope, cost and quality.

Involved in all study stages, including proposal strategy, development, costing, and bid defence, and seeing studies through the full cycle to completion, managing the client relationship, project team and budget and timelines throughout.

You will work in a cross-functional team with both internal and external stakeholders, driving quality and coordinating the study team.

We offer an amazing high-energy, dedicated, collaborative team members who enjoy a challenge, thrive in the details and flourish in dynamic environments. If you are no stranger to taking charge and seek positive teamwork to deliver extraordinary work, we have an opportunity for you.

How we will keep you busy and support your growth:

• You will independently lead clinical projects in accordance with the study budget and scope of work. You will use your strong interpersonal and organizational skills to set and achieve objectives in the execution of the projects; both contracted objectives and financial objectives. You may be called upon to run international trials as well.
• Serve as the primary point-of-contact liaison with the client to provide excellent customer service, including participation in proposal activities and client presentations
• Liaise with Project Team and senior management of both Precision and sponsors, including C level
• Handle and lead all aspects of a clinical research trial or trials
• Total project management for all functional areas including data management, safety, clinical, medical monitoring and biostatistics, etc.
• Prepare project status updates for clients and management; identifying key deliverables and performance metrics of success and escalation.
• Serve as an active member of the Project Team with the goal to contribute towards efficient management and execution of trials
• Prepare and reviews protocols and other study documentation such as project plans, inform consents, site contracts and budgets

Requirements:

• Degree or similar related life science qualification, or equivalent combination of education and experience.
• Previous experience in a full service/global Project Management role working in the CRO industry is essential.
• 5 to 7 years industry experience and at least 4 years full service Project Management experience in a clinical trial setting working for a Clinical Research Organisation.
• Experience managing studies within Oncology 
• Working understanding of GCP/ICH guidelines and the clinical development process
• Ability to drive and availability for domestic and international travel including overnight stays
• Be able to communicate effectively in the English language both written and spoken
• Strong presentation skills
• Proven computer skills (MS Office, MS Project, PowerPoint) and software experience (CTMS, eTMF, EDC, IXRS)
• Proven ability to develop positive working relationships with individual and teams internally and externally
• Demonstrated core understanding of medical terminology and clinical trial activities as it relates to the execution of a clinical development plan

Precision for Medicine's uniquely integrated offering enables the science of precision medicine by combining novel clinical trial designs, industry-leading operational and medical authorities, advanced biomarker and data analytics solutions, and an unequivocal real passion for rare diseases and oncology.

We are a people focussed CRO with a supportive and collaborative environment which promotes work life balance and encourages team development. 

We invite you to learn more about our growing organization serving our clients that are researching ground-breaking cancer therapies. We strive to ensure employees feel appreciated for the contributions they make every single day.

Precision for Medicine is not your typical CRO. We are passionate about cultivating our culture and are proud to share extremely high CRA retention rates compared to industry averages.

CRAs join us, love their jobs, and stay because of the amazing people and enjoyable quality of life. You will have a lower than average number of protocols, setting you up to be a protocol expert. Travel is reasonable and your work/life balance will benefit as a result. Most meaningfully - your voice will be heard. Working in a smaller CRO allows you to have influence and impact when it matters most and support from direct line management.

We are hiring a Clinical Research Associate II, this position will be fully home based working in the UK.  

About you:

• You are calm, thoughtful, and responsive when things don’t go as planned.
• You are well-prepared, whether it be for an investigator meeting, site visit or project team update, always staying two steps ahead of the game.
• You find quick and creative ways of overcoming difficulties.
• You have an impeccable eye for detail.
• You identify potential study risks and propose solutions on how to mitigate them.
• You take responsibility in the quality and outcomes of your work.
• You are adept at handling conflict by using tried and true resolution strategies.

How we will keep you busy and support your growth:

You will monitor and own the progress of clinical studies at investigative sites and ensure that clinical studies are conducted, recorded, and reported per protocol, SOPs, ICH-GCP, and all applicable regulations and standards. You will coordinate all necessary activities required to set up and monitor a study (i.e., identify investigators; helping prepare regulatory submissions, conducting pre-study and initiation visits, etc.).

Qualifications:

Minimum Required:

• 4-year college degree or equivalent experience

Other Required:

• Candidates should ideally have more than 1 year CRA experience within the CRO or pharmaceutical industry.
• Oncology experience, early phase experience desirable although not essential.
• Availability for domestic travel including overnight stays, which may constitute up to approximately 50-60% travel commitment (international travel may be required for some senior level positions)
• Fluency in English

Precision’s uniquely integrated offering enables the science of precision medicine by combining novel clinical trial designs, industry-leading operational and medical experts, advanced biomarker and data analytics solutions, and an unequivocal real passion for rare diseases and oncology.

Precision medicine is revolutionizing the attack on cancer—and we are passionate about helping you harness its power. We strike tumors on a molecular level using biomarkers to link specific mutations to specific treatments. We combine deep science with deep data from advanced technological platforms, then layer on specialized expertise in the design and execution of targeted, adaptive clinical trials. Ultimately, we deliver robust insights that inform real-time decisions—and optimize the oncology development pathway.

We invite you to learn more about our growing organization serving our clients that are researching groundbreaking cancer therapies. We strive to ensure employees feel appreciated for the contributions they make every single day. You will provide input and have your ideas valued and nurtured, impacting positive change for the company.

#LI-EK1 #LI-Remote

Precision for Medicine is not your typical CRO. We are passionate about cultivating our culture and are proud to share extremely high CRA retention rates compared to industry averages.

CRAs join us, love their jobs, and stay because of the amazing people and enjoyable quality of life. You will have a lower than average number of protocols, setting you up to be a protocol expert. Travel is reasonable and your work/life balance will benefit as a result. Most meaningfully - your voice will be heard. Working in a smaller CRO allows you to have influence and impact when it matters most and support from direct line management.

We are hiring a Clinical Research Associate II, this position will be fully home based working in the UK.  

About you:

• You are calm, thoughtful, and responsive when things don’t go as planned.
• You are well-prepared, whether it be for an investigator meeting, site visit or project team update, always staying two steps ahead of the game.
• You find quick and creative ways of overcoming difficulties.
• You have an impeccable eye for detail.
• You identify potential study risks and propose solutions on how to mitigate them.
• You take responsibility in the quality and outcomes of your work.
• You are adept at handling conflict by using tried and true resolution strategies.

How we will keep you busy and support your growth:

You will monitor and own the progress of clinical studies at investigative sites and ensure that clinical studies are conducted, recorded, and reported per protocol, SOPs, ICH-GCP, and all applicable regulations and standards. You will coordinate all necessary activities required to set up and monitor a study (i.e., identify investigators; helping prepare regulatory submissions, conducting pre-study and initiation visits, etc.).

Qualifications:

Minimum Required:

• 4-year college degree or equivalent experience

Other Required:

• Candidates should ideally have more than 1 year CRA experience within the CRO or pharmaceutical industry.
• Oncology experience, early phase experience desirable although not essential.
• Availability for domestic travel including overnight stays, which may constitute up to approximately 50-60% travel commitment (international travel may be required for some senior level positions)
• Fluency in English

Precision’s uniquely integrated offering enables the science of precision medicine by combining novel clinical trial designs, industry-leading operational and medical experts, advanced biomarker and data analytics solutions, and an unequivocal real passion for rare diseases and oncology.

Precision medicine is revolutionizing the attack on cancer—and we are passionate about helping you harness its power. We strike tumors on a molecular level using biomarkers to link specific mutations to specific treatments. We combine deep science with deep data from advanced technological platforms, then layer on specialized expertise in the design and execution of targeted, adaptive clinical trials. Ultimately, we deliver robust insights that inform real-time decisions—and optimize the oncology development pathway.

We invite you to learn more about our growing organization serving our clients that are researching groundbreaking cancer therapies. We strive to ensure employees feel appreciated for the contributions they make every single day. You will provide input and have your ideas valued and nurtured, impacting positive change for the company.

#LI-EK1 #LI-Remote

See yourself at Twilio

Join the team as our next Presales Engineer for our Twilio Communications EMEA team.

About the job

The Twilio Presales Engineer is both highly technical and a skilled executive relationship builder. They are comfortable showing an engaging communications experience to a CEO or sketching out a flow on a whiteboard with technical decision makers. This position is needed to deliver the technical win and product fit to our customers across the EMEA region. A Twilio Communications Solutions Engineer is an experienced pre-sales engineer who builds customer trust in Twilio’s Customer Engagement Platform.

Responsibilities

In this role, you’ll:

• Work alongside Twilio New business Account Executives, other Twilio Solutions Engineers, Professional Services and Twilio Partners as needed through the pre-sales process, to strategise and plan for deal success. 
• Build a successful business partnership with Twilio Account Executives focussing on great business discovery within prospects and communicating the business value of Twilio solutions.
• Take part alongside Account Executives in qualification, discovery, demonstrations, Proof-of-Concept, RFP response, design documentation, technical presentations and enablement sessions during the sales cycle.
• Develop subject matter expertise on the customer needs and requirements, and Twilio’s best in class communications technology. 
• Lead technical discovery sessions with our customers to uncover their needs and challenges to articulate Twilio’s ability to enable their success and solve their challenges. 
• Build and present powerful and complex presentations and product demos to help showcase the capabilities of Twilio Communications Products.
• Form an understanding of a customers business and help solve problems they’ve identified as well as uncover areas of opportunity.

• Build trusted advisor relationships at the highest levels of our customers and present creative new solutions and architectures that enable and inspire innovation
• Contribute to the wider Twilio Solutions Engineer community by sharing knowledge, building demo assets and reusable presentations.

Qualifications 

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn’t followed a traditional path, don’t let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

*Required:

• At least 5 years in a technical pre-sales role in CPaaS, SaaS or Telecom space
• Solid understanding and experience of the sales cycle and the role of a pre-sales engineer 
• Solid understanding of voice protocols (VoIP), SIP implementations or messaging APIs
• Creativity: you’ll need to be a problem solver, able to collaborate with others to drive success. 
• An engaging storyteller: you can gain audience confidence and communicate complex topics to multiple levels of technical and non-technical audience. 
• Ability to ask the right questions to build a deep understanding of a customers needs and guide them to a technical solution using Twilio Communications products  
• Knowledge of public cloud platforms (Amazon Web Services, Google Cloud, Microsoft Azure) and cloud application architectures
• Experience writing code in one or more of the following areas, multiple areas of experience would be advantageous:
• Backend (Java, C#, Node.js, Python or PHP)
• Web (JS, React)
• Experience with designing and consuming REST APIs

Desired: 

• Hands on experience with with backend development (Java, C#, Node.js, Python, PHP, etc)
• Familiarity with Mobile development, especially for iOS and Android.
• Previous experience in Telecommunications, SIP, WebRTC, or Contact Centre in a technical role
• Experience with automation, cloud-native development and skills with a major cloud platform. 
• Experience with sales methodologies 
• Additional language speaker a plus, specifically French or Hebrew 

Location 

This role will be remote and based in the UK. 

Travel

We prioritise connection and opportunities to build relationships with our customers and each other. For this role, approximately 35% travel is anticipated to help you connect in-person in a meaningful way.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

This is a remote opportunity and we would be interested in applicants living in UK time zones only at this time. 

Senior Software Engineer - Grafana Databases, Managed Services

The Opportunity: 

The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale.

In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply.

What You’ll Be Doing:

As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves:

• Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure
• Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.)
• Designing safe upgrade and rollout strategies at scale
• Improving observability, automation, and operational ergonomics
• Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance
• Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc.
• Serving as a primary escalation point and on-call for relevant incidents
• Owning the relationship with all system vendors, including WarpStream Labs and others.
• As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.

This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership.

What Makes You a Great Fit:

• Regular 1:1s with your manager and close collaboration with teammates across regions
• Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design
• Improving the diagnosability of core streaming and database systems in production, where possible.
• Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure
• Developing fault-tolerant patterns that account for distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies
• Planning and executing safe upgrades and rollouts across dozens of production clusters
• Collaborating with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy
• Participating in PR review and contributing to design documents, automation, tooling, and code improvements that reduce operational risk
• Sharing best practices and distributed systems knowledge with partner teams
• Participating in incident response, from investigation through resolution and post-incident reviews (PIR)

Requirements:

• 6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles.
• Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra.
• Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.).
• Solid understanding of distributed systems design and large-scale system trade-offs.
• Proficiency in at least one programming language (Go preferred, but not required).
• Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior.
• Experience participating in blameless incident response and writing high-quality post-incident reviews.
• Clear communicator who can collaborate across teams and work autonomously.
• Curious, pragmatic, action-oriented, and kind (this is important!)
  
  

Compensation & Rewards:

In the United Kingdom, the Base compensation range for this role is GBP 91,755 - GBP 110,106. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

As a Partner SE Intern, you will be the technical engine-in-training for our partner team, focusing on mastering the SentinelOne platform and learning how to deliver high-impact demos and Proof of Values ‘PoVs’. You’ll team up with our experienced SEs to show partners and end customers exactly how our platform works and the value it brings to organizations. Your journey will focus on three core areas: achieving platform expertise, mastering the art of the technical demo, and supporting live PoV engagements.

What Will You Do?

Primary responsibilities include:

• Support the Partner SE Team: Work alongside our SEs to help identify new opportunities, expand current partners, and learn ways to overcome technical hurdles for our partners.
• Master the Demo: Learn to deliver technical product walkthroughs and positioning the SentinelOne platform
• PoVs: Assist in setting up and running Proof of Value (PoV) engagements where we prove our platform’s effectiveness in a partner/end customer’s environment.
• Improve the Platform: Listen to partner and customer feedback during sessions and share those insights with our product teams to help make SentinelOne even better.
• Build Training Material: Help create and update the technical guides, lab environments, and "how-to" content that our partners and customers use to get up to speed.
• Shadow and Grow: Participate in partner meetings and technical calls to learn and develop as an SE

This role is part of our Summer 2026 Internship Cohort, running June 8 – August 14, 2026.

What Skills and Knowledge Will You Bring?

Ideal candidates will have: 

• Technical Foundation:
  • Cybersecurity Knowledge: A strong understanding of the modern threat landscape, modern security tooling leveraged, basics of endpoint, identity, cloud, SIEM, and AI security concepts.
  • Cloud Basics: Familiarity with at least one major cloud provider (AWS, Azure, or GCP) and an interest in how modern tech like containers (Docker/Kubernetes) or serverless computing works.
  • Developer: Bonus points if you are fluent in common programming languages.
• Collaboration & Communication:
  • Technical Storytelling: The ability to explain a complex technical concept clearly and confidently, whether you're writing a guide or giving a live demo.
  • Cross-Team Collaboration: A natural ability to work across different teams (like Engineering, Marketing, and Sales) to gather information and get a project across the finish line.
  • Partner Mindset: An interest in technical sales helping external partners or customers understand the value of a product and how it fits into their business.

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

Our global internship program trains the next-generation of cybersecurity talent across a range of specializations, from threat intelligence to information security, engineering and marketing. Interns can learn about the network security industry from leading thinkers, grow their professional networks, and be part of a career-defining experience including: 

• 1:1 mentorship
• The opportunity to expand your knowledge and work on challenging projects
• Training and Development opportunities 
• Connections to other recent grads, and employees across the company
• Leadership speaker series where you can learn about other areas of the business and ask questions to the senior leadership team and industry experts
• Fun events!

Soho, London

Hybrid working: 3 days in the office Tues - Thurs

The Role

We are seeking a Data Engineer to join our Data Team, playing a vital part in building the complex, scalable systems that power our data strategy. You will be at the heart of architectural discussions, influencing system design and delivering the high-quality data solutions that bring millions of fans closer to the sports they love. This is a fantastic opportunity to tackle the challenge of optimising our data platforms for real-time AI/ML workloads, mentor talented junior engineers, and make a significant impact on our business. 

At LiveScore Group, we’re the proud home of three of the most exciting brands in the sports and gaming world: LiveScore, LiveScore Bet and Virgin Bet. A fully owned and operated ecosystem that converges the two worlds of sports media and sports betting. We’re proud of the high ratings for our commitment to excellence and fueling fan’s passion for sport driving us to the top.

We don’t just lead; we innovate. Our cutting-edge products and immersive experiences set the standard, but it’s our people who truly make the difference. Every day, our team embody our values: adaptability, teamwork, a fan-driven approach, and an ever-curious mindset that fuels our ambition. As we scale and continue to create a culture that allows all employees to thrive, we know we need the most talented people with diverse backgrounds, perspectives and skills. If you’re good at what you do, come and join us. The more inclusive we are, the more amazing experiences we can create for our users.

We know that job descriptions can sometimes seem daunting, and you might not feel you tick every box. But, if you’re passionate about the role and have relevant experience, we want to hear from you! 

Key Responsibilities 

• Contribute significantly to critical system design decisions, helping to architect data solutions that support real-time workloads.
• Partner with cross-functional teams to translate intricate business needs into effective and innovative data solutions.
• Mentor and provide expert technical guidance to junior engineers, fostering a culture of continuous learning and growth.
• Design data systems to solve problems and improve reliability & cost-effectiveness. 
• Develop and maintain robust, secure integrations with core internal systems and critical third-party platforms. 
• Implement advanced monitoring and alerting, to ensure high system reliability and minimal downtime. 

Skills, Knowledge and Experience 

• You have expert-level proficiency in a core programming language like Python, Java, or Scala, with an emphasis on AI/ML data processing.
• You possess experience with cloud data services and technologies, ideally within the GCP ecosystem (e.g., Dataflow, Pub/Sub, BigQuery, Vertex AI).
• Experience with Airflow environment management and Docker 
• You can clearly and concisely explain intricate technical concepts to both technical and non-technical stakeholders.
• You have extensive experience designing and optimising both real-time and large-scale batch data processing frameworks.
• You have a proven ability to deploy and maintain data infrastructure using Infrastructure as Code (IaC) principles with tools like Terraform.
• You can demonstrate the application of data governance, privacy, and security best practices in a regulated environment.
• You are a proactive and curious problem-solver, skilled in anticipating and resolving system inefficiencies.
• You work seamlessly with cross-functional teams, translating complex requirements into robust data solutions.
• You take full responsibility for the quality, reliability, and performance of the data solutions you help create. 

What can we offer? 

• Fridays Off: Say goodbye to Friday meetings and hello to a three-day weekend! This benefit is part of a trial, to be reviewed in 2026
• Company Performance Bonus
• Flexible Working Agreements where applicable
• Private Healthcare Scheme + Employee Enhanced Assistance
• Enhanced Family Leave - Maternity, Shared Parental & Adoption Leave: up to 6 months at full pay and 6 months at half pay. Paternity leave: up to 4 weeks at full pay
• Subsidised Gym Membership
• Annual Travel Card Loan & Ride to Work Scheme
• Life Assurance (x3 salary)
• Contributory Pension Plan
• Virgin Family: Giving you access to exclusive Virgin offers and experiences
• Thursday drinks in the office and regular socials

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives

We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.

Unicorn momentum

In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

About the role

Throughput. Latency. KV cache utilization.

Move those three numbers in the right direction, and two things happen: customers get faster, cheaper inference, and our margins improve. That's the entire thesis of this role. Every kernel you tune, every quantization scheme you ship, every scheduler tweak you land shows up directly in a customer's p99 and on our P&L.
This is a high-impact seat. It is also a high-autonomy seat as you'll be given the room to lead the technical direction of inference optimization at Kimchi, not execute someone else's roadmap.

The problem: running LLMs in production is a moving target. The "right" model and serving configuration for a workload depend on traffic shape, sequence-length distribution, batch dynamics, GPU SKU, memory bandwidth, quantization tolerance, and a dozen other variables that shift week to week. Most teams pick a model once, over-provision GPUs, and absorb the cost. Kimchi is the system that makes that decision automatically - continuously matching workloads to the most cost-efficient, best-performing LLM and serving configuration on a customer's infrastructure. We're building the optimization layer between the model and the hardware, and we need engineers who understand both sides deeply.

Stack

Python · vLLM · SGLang · TensorRT-LLM · PyTorch · CUDA-adjacent tooling · Kubernetes · gRPC · ClickHouse · PostgreSQL · GCP Pub/Sub · AWS / GCP / Azure · GitLab CI · ArgoCD · Prometheus · Grafana · Loki · Tempo.

Requirements:

• 5+ years building real ML systems, with a portfolio that shows depth in inference or training infrastructure (not just model training notebooks).
• Strong Python - production services, not scripts.
• Hands-on experience with at least one of vLLM, SGLang, or TensorRT-LLM, and a working mental model of why an inference engine performs the way it does on a given GPU.
• Fluency with quantization tradeoffs - you've measured quality regressions, not just compression ratios.
• Comfort with distributed systems: collective communication, sharding strategies, and the practical failure modes of multi-GPU and multi-node setups.
• A bias toward measurement. You instrument before you optimize, and you can tell the difference between a real win and a benchmark artifact.
• Self-direction. This role comes with a wide mandate; you should be excited by that, not unsettled by it.

Responsibilities:

• Push throughput. Continuous batching, speculative decoding, chunked prefill, kernel-level tuning across vLLM, SGLang, and TensorRT-LLM. Find the ceiling on each GPU SKU, then raise it.
• Cut latency. Attack TTFT and TPOT separately. Profile, identify the actual bottleneck (compute, memory bandwidth, scheduling, networking), and fix it - not the bottleneck you assumed.
• Get more out of the KV cache. Paged attention, prefix caching, eviction policies, cache reuse across requests, quantized KV. This is where a lot of the unrealized throughput lives, and it's an area you'll own.
• Quantize without regressing quality. INT8, INT4, FP8 across weights, activations, and KV. Empirical work: measure quality on real workloads, not just perplexity benchmarks.
• Shrink cold starts and memory footprint. Faster init, smarter weight loading, tighter memory accounting - the difference between a model that scales and one that doesn't.
• Scale across nodes. Distributed inference topologies, network-aware placement, checkpointing strategies that don't bottleneck on storage or interconnect.
• Set the technical direction. Decide what we benchmark, what we adopt, and what we build ourselves. Bring the team along with strong writeups and reproducible experiments.

What’s in it for you?

• Competitive salary (depending on the level of experience).
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• Technical interview (system design)
• Live coding
• Culture Check interview with an executive

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

Solution Architect wanted to join our  team at VML Enterprise Solutions 

The opportunity:

A Solution Architect is required for a high-profile role giving the successful applicant the chance to lead the solution architecture for some of the world’s largest online brands and retailers and be an integral part of our talented and expanding Solution Architecture team. 

You will be responsible for creating and assuring solution architecture using a wide range of technologies, from SaaS eCommerce platforms through to client-specific cloud solutions. You’ll develop relationships with key client-side stakeholders in charge of IT and digital strategy and architecture, and you’ll work closely with our internal delivery teams to ensure your architecture vision is realised 

Our Solution Architecture team not only focus on delivery but also work with our clients in delivering the best consulting advice to ensure world class solutions that enable our clients to transact more digitally. 

What you’ll be doing:

• Working on large-scale digital transformation programmes with global clients, designing solutions for all the opportunity and complexity this brings 
• Own the solution architecture, document it, and communicate that architecture to a wide range of audiences 
• See out and develop relationships with key client stakeholders responsible for digital and architecture strategy 
• Orchestrate and run design workshops, and translate business strategy and requirements into solution architecture 
• Ensure your architecture vision is realised by our teams, across all phases of programme delivery 
• Understand common problems, design patterns and considerations for a distributed eCommerce architecture and apply this knowledge to your solutions 
• Understand the level at which solution architecture applies, and help transition your solutions to application and cloud architects and technical leads 
• Make and justify key architectural decisions considering all relevant constraints 
• Follow the principles and guidance set out by the Solution Architecture team 
• Contribute to the initiatives of our Solution Architecture team, including developing common patterns for new technologies and developing PoCs against industry trends. 

What we want from you:

• Extensive experience working as a Solution Architect ideally within eCommerceCore understanding of the capabilities of a wide range of technologies typically found within an eCommerce landscape, including enterprise eCommerce platforms and components, and apply this knowledge to your solutions 
• Proven experience of solution ownership,  
• Experience delivering solution transformations, roadmaps and (or) Integration strategies  
• Understand the capabilities of public cloud platforms and be an advocate of cloud-native solutions 
• Proven experience Designing quality solutions, often large scale and transactional in nature, for global enterprise clients 
• Be client and delivery focussed, able to adapt a solution to meet additional requirements and constraints and apply pragmatism when required 
• Prior experience running design workshops  
• Strong stakeholder management skills  
• Have excellent communication, presentation and documentation skills 

If you know some of this, even better:

• Experience with OMS 
• Experience with PIM 
• Specific Solution Architecture experience with the following technologies: 
• React, Next.js, GraphQL (incl. federated), Salesforce Commerce Cloud, Sanity.io, GCP 

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Permanent only:
We offer a great benefits package including a discretionary bonus scheme, training opportunities, competitive pension, medical insurance, life assurance, social events, opportunities to buy and sell holidays, family friendly policies, discounts with hundreds of retailers and much more.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

#LI-EMEA

POS-7094

Job Overview: We are seeking a Security Engineer with expertise in implementing and troubleshooting security tools to enhance and support our security infrastructure. This role focuses on evaluating, deploying, and maintaining a suite of security technologies that protect our organization’s assets. The ideal candidate will have extensive experience in security engineering, hands-on tool deployment, and troubleshooting complex issues within various security solutions.

Key Responsibilities:

• Security Tool Implementation: Lead the planning, deployment, and configuration of security tools, ensuring they meet organizational needs and integrate seamlessly with existing systems. Experience with SASE tools such as (Netskope/Zscaler), EDR tools such as (Crowdstrike/SentinelOne), Endpoint Privilege Management, Application Allowlisting, Email Security, SIEM Management and Detection Engineering 
• Troubleshooting and Support: Diagnose and resolve issues with security tools in real-time to maintain their effectiveness, reduce downtime, and ensure optimal performance.
• Tool Evaluation and Testing: Research, test, and recommend new security technologies based on the latest threat landscape and organizational needs. Lead proof-of-concept (POC) projects to assess potential new tools.
• System Integration: Work closely with IT and other teams to ensure security tools are effectively integrated with various systems, including cloud and on-premises environments.
• Automation and Optimization: Develop scripts and automation processes to improve the efficiency and reliability of security tools, minimizing repetitive tasks and reducing time-to-response.
• Documentation and Knowledge Sharing: Create and maintain detailed documentation of security tool configurations, troubleshooting procedures, and best practices to ensure consistent processes and knowledge transfer.
• Collaboration: Collaborate with other security teams, such as incident response and vulnerability management, to identify tool requirements, share insights, and improve overall security capabilities.
• Training and Mentorship: Act as a subject matter expert on security tools, providing training and guidance to junior team members and stakeholders.

Qualifications:

• Experience: 3+ years of experience in cybersecurity, with a focus on security engineering, tool deployment, and troubleshooting.
• Education: Bachelor’s degree in Computer Science, Information Security, or related field (or equivalent experience).
• Certifications: Relevant certifications, such as CISSP, GIAC, CEH, or vendor-specific certifications for security tools (e.g., CrowdStrike, Netskope, Tenable, or similar).
• Technical Skills:
• Strong hands-on experience with a variety of security tools, such as endpoint protection, SIEM, vulnerability management, EDR, DLP, and network security tools.
• Deep troubleshooting skills across both hardware and software security solutions.
• Familiarity with scripting languages (Python, PowerShell, Bash) for automation of tasks related to tool deployment and management.
• Understanding of network protocols, cloud environments, and security frameworks (MITRE ATT&CK, NIST, CIS).
• Experience with configuring and managing tools in cloud environments (AWS, Azure, or GCP).
• Soft Skills:
• Strong analytical and problem-solving abilities with attention to detail.
• Excellent communication skills to collaborate across teams and convey technical information effectively.
• Ability to work independently and manage multiple projects in a fast-paced environment.

POS-7094

Job Overview: We are seeking a Security Engineer with expertise in implementing and troubleshooting security tools to enhance and support our security infrastructure. This role focuses on evaluating, deploying, and maintaining a suite of security technologies that protect our organization’s assets. The ideal candidate will have extensive experience in security engineering, hands-on tool deployment, and troubleshooting complex issues within various security solutions.

Key Responsibilities:

• Security Tool Implementation: Lead the planning, deployment, and configuration of security tools, ensuring they meet organizational needs and integrate seamlessly with existing systems. Experience with SASE tools such as (Netskope/Zscaler), EDR tools such as (Crowdstrike/SentinelOne), Endpoint Privilege Management, Application Allowlisting, Email Security, SIEM Management and Detection Engineering 
• Troubleshooting and Support: Diagnose and resolve issues with security tools in real-time to maintain their effectiveness, reduce downtime, and ensure optimal performance.
• Tool Evaluation and Testing: Research, test, and recommend new security technologies based on the latest threat landscape and organizational needs. Lead proof-of-concept (POC) projects to assess potential new tools.
• System Integration: Work closely with IT and other teams to ensure security tools are effectively integrated with various systems, including cloud and on-premises environments.
• Automation and Optimization: Develop scripts and automation processes to improve the efficiency and reliability of security tools, minimizing repetitive tasks and reducing time-to-response.
• Documentation and Knowledge Sharing: Create and maintain detailed documentation of security tool configurations, troubleshooting procedures, and best practices to ensure consistent processes and knowledge transfer.
• Collaboration: Collaborate with other security teams, such as incident response and vulnerability management, to identify tool requirements, share insights, and improve overall security capabilities.
• Training and Mentorship: Act as a subject matter expert on security tools, providing training and guidance to junior team members and stakeholders.

Qualifications:

• Experience: 3+ years of experience in cybersecurity, with a focus on security engineering, tool deployment, and troubleshooting.
• Education: Bachelor’s degree in Computer Science, Information Security, or related field (or equivalent experience).
• Certifications: Relevant certifications, such as CISSP, GIAC, CEH, or vendor-specific certifications for security tools (e.g., CrowdStrike, Netskope, Tenable, or similar).
• Technical Skills:
• Strong hands-on experience with a variety of security tools, such as endpoint protection, SIEM, vulnerability management, EDR, DLP, and network security tools.
• Deep troubleshooting skills across both hardware and software security solutions.
• Familiarity with scripting languages (Python, PowerShell, Bash) for automation of tasks related to tool deployment and management.
• Understanding of network protocols, cloud environments, and security frameworks (MITRE ATT&CK, NIST, CIS).
• Experience with configuring and managing tools in cloud environments (AWS, Azure, or GCP).
• Soft Skills:
• Strong analytical and problem-solving abilities with attention to detail.
• Excellent communication skills to collaborate across teams and convey technical information effectively.
• Ability to work independently and manage multiple projects in a fast-paced environment.

2125 - Associate Director, Media Planning

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

About EssenceMediacom: A Leading WPP Media Brand 

EssenceMediacom is a new breed of media agency. Grounded in analytics & insights and powered by data & technology, we believe in the power of media and creative to drive breakthroughs for the world’s best brands. We help clients understand the modern marketing paradox and discover the breakthroughs brands need to win with their consumers. We are designed for the new communications economy — built on data & technology, built for people & algorithms, built around diverse schools of thought, built to test & learn at scale, and, crucially, built to evolve. 

Role Summary and Impact 

The Associate Director, Media Planning works within a team of media planners with 1-3 direct reports, inspiring innovation and great thinking. Role will include: Strategic thinking, forecasting, weekly reporting reviews and campaign PCAs or QBRs. They will work with the team to ensure communication to the client is clear, compelling and of a high standard. The candidate will hold close client relationships and work alongside Client Services as the primary face of Essence’s acquisition media planning product for those clients. They will be ultimately responsible for campaign performance and the delivery of business-enhancing innovation. They will foster strong external relationships and keep a close eye on the market to ensure new opportunities and research are reviewed and implemented for the benefit of their clients. 

You will be a key player in the planning team for Google Cloud, defining contextual layers and precision of budgets across channels, and to help evolve best practice, including pushing the adoption of emerging technologies, leading the development and deployment of planning frameworks.

Some of the things we’d like you to do: 

• Be the point of contact for Planning across junior and mid level clients, lead weekly meetings with clients and presentations. 
• Oversee and quality assure all deliverables produced by junior team members. 
• Ensure the delivery of high quality strategic presentations, actionable weekly reporting, insightful post campaign analysis and clear briefs to Activation. 
• Deliver clear and compelling rationale to support media investment recommendations and to evidence campaign performance versus expected outcomes. 
• Work with Activation and Analytics to design the test and learn framework for assigned campaigns. 
• Take responsibility for the performance of assigned media budgets against intended outcomes. 
• Be a point of escalation for team issues (within and outside the team). 
• Contribute to internal thought leadership and team process/workflow enhancement, increasing work quality, making us more efficient, and increasing Essential satisfaction. 
• Set the quality standard for one or more planning deliverables per year, improving them over time via team/client feedback and incorporation of evolving external context. 

Management Responsibility: 

• Motivate a team, leading by example while coaching juniors. 
• Provide timely and actionable feedback to aid in team development and improvement. 
• Strong spreadsheet capability is a must, with a strong handle on using formulas and ideally able to use AI to build scripts. 
• Monitor and support Essential satisfaction across client teams, identifying and implementing ways to maintain or increase satisfaction. 
• Foster strong working relationships across the client team to facilitate flawless execution of plans. 
• Communicate effectively across all levels of the team. 
• Understand when to escalate issues to managers. 
• Calculate the workload implication of new campaigns and feed into resource management. 
• Provide awareness and recognition for jobs well done. 

Skills and Experience 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 
• Experience in a digital media agency. 
• Ability to work in a team environment that promotes collaboration; but also capable of working independently when needed. 
• Exceptional verbal & written communication skills - ability to think on your feet. 
• Strong analytical skills - ability to analyze raw data, identify true insight and develop actionable recommendations. A natural affinity with numbers is a must. 
• Strong interpersonal skills – able to forge strong relationships and influence clients, partners and colleagues alike. 

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. 
 
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Please note this is a UK based role and requires individuals to have the right to work in this location 

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide. 

#LI-Promoted

The team

Customer experience at Nebius GPU AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are seeking a highly skilled and customer-focused leader to join our team as a Cloud Solutions Architect Lead. As a team leader, you will play a pivotal role in customer success across EU region, both managing the efforts of Cloud Solutions Architects team (technical and process excellence, talent development) and building processes alongside your stakeholders. Player-coach mentality and proven track record of managing high expertise teams is a must. 

You’re welcome to work from our office in Amsterdam or remotely from any EU country.

Your responsibilities will include: 

• Lead and mentor a team of Solutions Architects, fostering a culture of technical excellence, customer empathy, and collaborative execution.
• Oversee and participate in technical engagements including PoCs, workshops, architecture reviews, and trainings.
• Drive consistency and quality across infrastructure design, IaC practices, technical documentation, and customer enablement content.
• Collaborate closely with Product and Development teams, representing customer needs and helping shape the roadmap.
• Guide customers in optimizing ML/AI/HPC pipelines for performance, scalability, and cost-efficiency on Nebius  cloud infrastructure.
• Build visibility and ownership culture amongst Solutions Architects.

We expect you to have: 

• 5+ years of experience in a technical role (Solutions Architect, DevOps Engineer, ML Engineer, or similar) with a focus on cloud-native systems and distributed computing.
• 2+ years of experience leading or mentoring customer facing engineering teams.
• Deep hands-on experience with Infrastructure as Code (Terraform, Ansible), Kubernetes, and cloud automation.
• Strong communication and stakeholder management skills across both technical and non-technical audiences.
• Passion for developing scalable, reliable cloud architectures and driving customer success.

It will be an added bonus if you have: 

• Experience with HPC or ML orchestration frameworks (e.g., Slurm, Kubeflow, Ray).
• Strong coding skills in Python and experience with GPU computing environments for ML/AI workloads.
• Proficient in GPU stack components (e.g., CUDA, cuDNN) and cloud-native patterns for ML training/inference.
• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX).
• Understanding of cloud-based ML tools and offerings from NVIDIA, AWS, Azure, or Google Cloud.
• Experience participating in or leading technical contributions to conferences or open-source communities. 

THE ROLE

Director, Cloud Native Architects (CNA) EMEA leads and develops a team of CNAs and sets the standard for technical execution, executive engagement, and adoption outcomes across a range of EMEA Enterprise accounts. The role is accountable for building a repeatable operating system that improves deal quality, increases opportunity predictability, and drives measurable revenue impact (ARR/NRR) in partnership with the Theater Sales organisation, Product teams, and regional stakeholders.

Success is reflected across People / Process / Partnership / Product, deliberately prioritised to maximise the Director’s most constrained resource: time.

• People: Building, developing, and inspiring a high-performing team with strong technical credibility and ownership.
• Process: Applying context and rigor in ways that improve focus, decision-making, and execution without creating unnecessary overhead.
• Partnership: Strengthening collaboration with sales, product, and partner stakeholders to improve alignment and shared outcomes.
• Product: Maintaining sufficient product understanding to guide technical decisions, shape meaningful feedback, and support effective field execution.

Scaling model (System Builder): The Director scales impact through a disciplined cadence, clear ownership across a small team, and account-domain expertise, not by attending more internal meetings.

Role Scope

• • Theater: EMEA Enterprise
  • Builds and leads: CNA team pooled to deliver outcomes in aligned EMEA Enterprise accounts
  • Role type: People manager + overall technical sales account oversight

Revenue alignment:

• • This role is directly assigned to the Theater Enterprise Portworx and  Everpure Cloud quota and is expected to meet and exceed TCV Sales goals.
  • The Director is accountable for measurable increases in ARR and NRR across a range of Enterprise accounts.
  • CNAs have primary account assignments while also being goaled on overall Theater quota performance, ensuring the team operates as a focused unit without losing shared accountability.

WHAT YOU'LL DO

1. Build, Develop, & Inspire a Team of Top Performers:
   • Hire/onboard quickly with clear expectations, coaching, and development plans.
• Build and maintain a strong bench of Technical Sales talent aligned to current and future needs.
• Partner with recruiting to attract, hire, and onboard high-quality candidates in a timely manner.
• Coach and develop direct reports through regular feedback, mentorship, and clear expectations.
• Curate & maintain Individual Development Plans that support both role effectiveness and long-term career growth.
• Foster an inclusive, collaborative team environment that encourages learning, ownership, and accountability.
• Establish a coverage model that assigns primary accounts and defines domain ownership within global accounts (BU/geo/platform), with explicit escalation criteria.
• Support personnel development in alignment with HR guidelines and company values.
2. Provide Sales Process Oversight, Guidance, and Feedback: 
• Guide CNAs in applying the Technical Sales Process to improve opportunity focus, deal quality, and execution.
• Use opportunity data as a decision-support and coaching tool, not an activity-reporting mechanism.
• Drive disciplined prioritization and disqualification to protect scarce CNA capacity.

3. Co-seller + partner alignment that improves outcomes:

• Run a regular cadence with co-seller Technical Sales leaders focused on meaningful changes in status, risk, sentiment, velocity, and where technical leadership removes friction.
• Co-sponsor targeted Portworx and Pure Storage Cloud efforts for a small number of priority customers where technical leadership materially influences outcomes for the entire Pure Storage portfolio.
• Establish recurring partner cadences focused on progression, readiness, pipeline health, and risk reduction.
  
  
4. Coordinate Feature & Solution Feedback with Business Units :
• Lead bi-weekly working sessions with Product Managers and peers to align on releases, readiness, and feature evolution. 
• Provide synthesized insight tied to real deployment/adoption patterns (patterns > isolated requests).
• Prioritize RFEs for clarity and meaningful customer impact over volume/noise

WHAT YOU BRING 

• Creativity, empathy, an open mind, curiosity and a desire for continuous learning
• Pre-sales experience is required
• 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred
• Deep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutions
• Prior experience in targeting new prospects and converting them into clients
• Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
• Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)
• Linux, NFS file systems and Linux distributed network environment
• Familiarity with AWS, Azure, GCP a plus
• Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
• Familiarity with containers, k8s and microservices architectures a plus
• Strong knowledge of digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers
• Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking
• Excellent verbal and written interpersonal skills
• BS in CS, EE or other technical degree and/or equivalent experience
• Must have a familiarity with modern web architecture a plus (LAMP stack, scale-out vs scale-up architectures, AWS well-architected framework, microservices architecture)
• Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers

Staff Product Security Engineer

Role Overview:

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

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

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

What you'll be doing:

Strategic Leadership

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

Data Engineering Excellence

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

Multi-functional Collaboration

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

Innovation & Efficiency

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

What we're looking for:

Experience and Technical Expertise

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

Benefits:

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

POS-31662

Role Summary

HubSpot is building the next generation of AI experiences across our go-to-market products. We’re hiring a Senior Machine Learning Engineer II to join the Flywheel Context (Contacts) team, where you’ll build the context platform layer that powers accurate, high-performing AI assistants and agents.

This is a backend-leaning ML engineering role focused on shipping production software—designing systems that help other engineering teams retrieve relevant facts, manage long/complex context, and evaluate quality at scale. If you love building durable platforms (not just prototypes), this role is for you.

What You’ll Do

• Design, build, and operate backend services that power context retrieval and enrichment for AI assistants and agents.

• Build platform capabilities for storing, searching, and retrieving “insights” and relevant facts across HubSpot’s GTM data.

• Develop systems to manage and compress context when it gets large (e.g., long contact histories, high-volume CRM data).

• Create tooling that allows other engineering teams to ship assistants/agents faster, with consistent APIs and reusable primitives.

• Build and maintain evaluation and measurement approaches (offline evals, golden datasets, automated metrics, human review loops) to ensure context quality and answer accuracy.

• Collaborate closely with sister platform teams and downstream product engineering teams (your “customers”) to integrate platform capabilities into real experiences.

• Own end-to-end delivery: architecture, implementation, observability, performance, reliability, and iteration.

Required Qualifications

• Strong track record shipping production backend systems as a senior engineer (ownership from design to delivery).

• Professional Java experience building maintainable, testable services in production (this is core to the role).

• Experience implementing ML workflows in production (e.g., retrieval/ranking pipelines, feature/data pipelines, model/embedding services, evaluation frameworks).

• Comfort working with data tooling and data-intensive systems (large datasets, pipelines, and service integrations).

• Experience operating software at meaningful scale (e.g., high throughput, significant data volume, performance and reliability constraints).

• Strong engineering fundamentals: system design, code quality, debugging, observability, and operational excellence.

Nice-to-Have Qualifications

• Experience with search/retrieval/relevance/ranking systems (highly aligned to context work).

• Experience with RAG-style systems, embeddings, vector search, or hybrid retrieval strategies.

• Familiarity with LLM evaluation patterns (golden sets, automated metrics, human review), hallucination mitigation, and quality measurement.

• Experience with distributed systems, event-driven architectures, or stream processing.

• Cloud/platform experience (e.g., Kubernetes, AWS/GCP) and running services in production.

• Some Python experience (useful, but not the primary language).

The Networks team designs, builds and maintains all the communications infrastructure that allows our high-capacity, low-latency trading and data research environments to run 24/7.  This network spans over 25 countries and 100 locations. We are looking for a Senior Network Engineer with experience designing and managing large environments to fulfill the high-performance and availability requirements of a premiere algorithmic trading firm operating in global financial markets. 

This position requires both project management and deep technical skills. Working together with some of the brightest minds in our industry, you’ll be responsible for everything from product selection and design to routing configuration and troubleshooting. You will work closely with our Systems and Trading Operations teams as well as others at HRT to build, manage, and monitor our low-latency trading network. You’ll have broad responsibilities with freedom to analyze and solve problems, and your solutions will have an immediate impact on our worldwide operations. 

We’re looking for someone with a love for technology and an excitement for tackling big picture problems. You will work on a wide variety of projects to enhance the performance and capacity of the global trading and research platforms and contribute to both high-level strategy and the technical nitty-gritty of our global network architecture.

Qualifications

• BS in Computer Science, Electrical Engineering, or related IT field
• 5-10 years of relevant experience, preferably in low-latency and high-frequency trading environments.
• In depth understanding of common layer 2 and layer 3 network protocols and best practices; working knowledge of OSPF, BGP, PIM, IGMP
• Experience managing Arista, Cisco, and other common networking devices on a day-to-day basis
• Familiarity with low-latency microwave networks and/or optical transmission systems, such as Adva, Ciena is desirable
• Experience in designing enterprise networks, capacity planning, and full lifecycle project management
• Experience with packet decoding and analysis tools such as tcpdump and Wireshark
• Excellent oral and written communication skills: able to distill complicated issues into clear and concise terms and to create and maintain effective technical documentation
• Experience with Unix/Linux command line utilities and networking stack
• Excellent troubleshooting skills on a wide range of networking issues, including common ethernet LAN problems, multicast market data distribution, and global WAN
• Understanding of basic power consumption and cooling issues in a datacenter environment
• Knowledge of fiber optics technology and cabling standards. Ability to sort through specs and make recommendations on appropriate purchases
• Willingness and ability to solve small technical problems in the field yourself.
• You have excellent collaboration skills and a willingness to admit mistakes.
• Familiarity with firewalls (including Cisco, Palo Alto, Fortinet), VPNs and NAT
• Familiarity with configuration management tools, such as Ansible or Salt is desirable
• Familiarity with Python, Prometheus, Grafana, ELK, GitHub is desirable
• Familiarity with public cloud networks, such as AWS, GCP, Azure, is desirable

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience.

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

Hudson River Trading’s High Performance Computing (HPC) Network Engineering team designs and engineers the low-latency communications infrastructure that underpins our incredibly large GPU and CPU compute clusters. Our mandate is to architect, optimize, and scale the high-performance LAN and WAN infrastructure that interconnects globally distributed, large-scale on-prem data centers, enabling them to grow rapidly and operate at peak performance in support of HRT’s demanding computational workloads. 

We are looking for a Network Engineer with deep experience in designing, deploying, and scaling networks for large-scale HPC environments. You will be building the next generation of infrastructure required by a premier algorithmic trading firm operating at the forefront of technology and finance.

This position requires deep technical skills, along with the  product leadership and vision needed for the future of cloud-scale networking. You’ll have broad responsibilities and freedom to analyze and solve problems, and your solutions will have an immediate impact on our operations worldwide. We’re looking for someone who loves  technology and is excited about tackling big picture problems. You will work on a wide variety of projects to enhance the performance and capacity of the network and contribute to both the management and the technical nitty-gritty of our computing architecture. Our people and our compute capabilities are our two most important differentiators, and that is where we are investing the most.

Responsibilities

• Network design, product selection, routing, configuration and troubleshooting
• Closely work with our HPC Systems team, as well as other teams to scale our research environment 
• Meet with external parties for project related items as well as future endeavors
• Overall capacity planning for the data center networks
• Develop scripts and processes to increase efficiency
• Collaborate with others in the network team to solve cross discipline problems
• Provide detailed documentation 
• Mentor others as a senior resource 

Profile

• 10+ years of relevant experience
• Proven ability to prioritize workloads and manage implementation schedules with a meticulous attention to detail 
• Proactive problem-solver with the technical skills and hands-on mentality to tackle challenges in the field.
• Strong collaboration skills and a focus on continuous improvement, with the humility to own and learn from mistakes 

Skills

• Excellent oral and written communication skills: able to distill complicated issues into clear and concise terms
• Able to create and maintain clear and effective technical documentation
• In depth understanding of common layer 2 and layer 3 network protocols (OSPF, BGP, PIM, IGMP, RoCEv2, spine-leaf architecture, and VXLAN) and best practices for them
• Proven ability to select and work with vendors to engineer switches for next-generation computing environments
• Experience managing Arista (EOS), Cisco (NX-OS), Nvidia (Cumulus) and SONiC-based switches, as well as an interest in exploring new platforms
• Strong design skills in computing and grid networks, with expertise in capacity planning, and full lifecycle project management
• Experience with packet decoding and analysis tools such as tcpdump and Wireshark
• Experience with public cloud networks, such as AWS, GCP, Azure
• Familiarity with configuration management tools, such as Ansible or Salt is desirable to support zero-touch network management
• Familiarity with Python, Prometheus, Grafana, ELK, GitHub is desirable
• Understanding of basic power consumption and cooling issues in a data center environment
• Knowledge of fiber optics technology and cabling standards ranging from 1 to 800 Gbps. Ability to sort through specs and make recommendations on appropriate purchases.
• Skilled in Unix/Linux command line utilities and networking stack
• Experience with AI style network designs and workloads is preferred

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. 

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

Hudson River Trading (HRT) is seeking a Junior Trading Systems Engineer to join our growing Trading Systems Infrastructure team. This team designs, builds, and maintains the infrastructure that powers our global trading, and is responsible for ensuring optimal performance and uptime of the ultra low-latency operating systems, automation software, and development tools that allow our trading strategies to run worldwide 24/7.

As a Junior Trading Systems Engineer, you’ll work on projects focusing on our real-time production trading environment and tackle problems that require high availability, high throughput, and ultra low-latency solutions. The ideal candidate possesses a passion for coding and automation, is eager to learn new skills to help build an elegant stack, and has the ability to handle challenging technical issues within a dynamic and fast-paced environment. 

Responsibilities

• Manage worldwide Linux-based trading infrastructure by contributing to the planning and execution of complex technical projects and tasks
• Troubleshoot hardware and software issues across the stack 
• Plan and implement system installations and upgrades 
• Deploy, configure, and test internal and external applications 
• Improve documentation and reduce technical debt
• Benchmark the performance of the trading stack, working with subject matter experts across the organization
• Join an on-call rotation schedule to cover trading hours and weekend shifts, as needed

Qualifications

• 2+ years of relevant experience managing Linux systems: you can install packages, manage users, control services, and know where to look for system logs, and you understand TCP/IP networking, default gateways, and how to debug connectivity problems
• Familiarity installing and configuring Linux systems, from hardware and networking to kernel to applications 
• Knowledge of Debian/Ubuntu is desirable
• Basic familiarity with configuration management tools, particularly SaltStack – some knowledge of Puppet, Ansible, Chef, or CFEngine is also desirable
• Proven programming experience: you don't just know what big-O notation is, you've also built working software and can explain and defend your design
• Basic shell (bash) scripting experience
• Experience using JIRA
• Strong cross-functional communication and organization skills
• Experience with production systems, as well as some cloud experience in AWS or GCP, is desirable but not required

The estimated base salary range for this position is 120,000 to 160,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is seeking a Trading Systems Engineer to join our dynamic Systems team, which develops and maintains the fast, reliable infrastructure that powers our global trading. Our team is responsible for deploying and managing all servers in HRT’s trading environment, ensuring optimal performance and uptime.

This role will present opportunities to tackle diverse technical challenges that directly impact HRT’s live trading and research operations. Your day-to-day responsibilities may include installing and configuring hardware and software, remote administration, monitoring system performance, testing new hardware and software, and fine-tuning system performance. The ideal candidate is a dedicated and innovative technologist with a passion for learning and a drive to contribute to impactful projects in a fast-paced, collaborative environment. If you’re excited to work on cutting-edge systems that are critical to HRT’s success, we’d love to hear from you!

Responsibilities

• Write detailed documentation and instructions for server installation and patching
• Operating system installation and upgrading
• Script solutions to automate repetitive tasks
• Help evaluate demo systems from vendors
• Join an on-call rotation schedule to cover nights and weekend shifts, as needed
• Linux OS and application troubleshooting
• Performance testing and tuning
• Work with vendors to resolve issues
• Interface closely with data center techs to complete hardware installations
• Plan and execute technical projects to make our Linux trading systems (hardware, network, OS, etc.) faster, adaptable, and more maintainable
• Manage and optimize global trading infrastructure
• Automate and troubleshoot a broad range of technical infrastructure
• Work closely with our Trade Operations team to coordinate server maintenance activities
• Deploy, configure, and test internal and external applications
• Server hardware break/fix and troubleshooting
• Collaborate with our Network and data centre teams to plan deployments across data centres

Qualifications

• 2+ years of relevant experience in the following:
• Installation, configuration, and troubleshooting of Linux systems, especially Debian and its derivatives
• Using Linux/UNIX command line tools and configuration management tools
• Python or comparable programming experience focusing on automation and integration
• Shell (bash or comparable) scripting
• Supporting a live production environment (especially trading)
• Configuration management tools, particularly SaltStack but also Puppet, Ansible, Chef, or CFEngine
• Cloud experience in AWS or GCP is desirable but not required
• Strong attention to detail to manage and debug production services
• Exceptional written and verbal communication skills – this role will require cross-functional collaboration with various stakeholders across HRT
• Ability to manage projects efficiently

Hudson River Trading (HRT) is seeking a Senior WAN Engineer with experience designing, deploying, and scaling high-capacity WAN to support our evolving HPC research and algorithmic trading application requirements.

The WAN Engineering Team designs and engineers the Global Wide Area Network (WAN) Infrastructure that supports our massive HPC data centers as well as our trading infrastructure globally. Our mandate is to architect, optimize, and scale the high-performance LAN and WAN infrastructure that interconnects our globally distributed, large-scale on-prem data centers and trading colos, enabling them to grow rapidly and operate at peak performance in support of HRT’s demanding computational workloads. 

Responsibilities

• Strategic network design, product selection, routing, configuration and troubleshooting for our next-generation WAN
• Work closely with our Networks and HPC Systems teams, among others, to scale our WAN to meet HRT’s evolving research and trading application requirements
• Overall capacity planning for the Data Center WAN
• Implement fully programmatically-driven network architectures using Python and configuration management tools (e.g., Ansible, Terraform, Saltstack)
• Collaborate with others in the network team to solve cross-disciplinary problems
• Analyze traffic patterns and optimize bandwidth usage
• Provide detailed documentation 
• Mentor others as a senior resource 

Qualifications

• 10+ years of relevant experience with carrier-scale global WAN design
• Proven ability to prioritize workloads and manage implementation schedules with  meticulous attention to detail 
• Proactive problem-solver with the technical skills and hands-on mentality to tackle challenges in the field
• Strong cross-functional collaboration skills and a focus on continuous improvement, with the humility to own and learn from mistakes
• Strong expertise in:
• Advanced BGP (BGP-SR, MP-BGP, BGP-LU, Extended Communities, UCMP), eBGP Route Server
• Segment Routing (SR-MPLS, SR-TE, BGP Prefix SID, Flex-Algo, TI-LFA, Fast Re-route)
• MPLS (LDP, RSVP-TE)
• OSPF/IS-IS
• QOS in WAN Environments
• Network and QOS Telemetry
• Multi-WAN vendor expertise (Arista, Cisco, Juniper, Other)
• Packet decoding and analysis tools such as tcpdump and Wireshark
• Experience with public cloud networks such as AWS, GCP, or Azure
• Unix/Linux command line utilities and networking stack
• Familiarity with Prometheus, Grafana, ELK is desirable
• Optical OLS/DWDM experience is desirable 

Hudson River Trading (HRT) is seeking a Trading Systems Engineer to join our growing Trading Systems Infrastructure team. This team designs, builds, and maintains the infrastructure that powers our global trading, and is responsible for ensuring optimal performance and uptime of the ultra low-latency operating systems, automation software, and development tools that allow our trading strategies to run worldwide 24/7.

As a Trading Systems Engineer, you’ll work on projects focusing on our real-time production trading environment and tackle problems that require high availability, high throughput, and ultra low-latency solutions. The ideal candidate possesses a passion for coding and automation, is eager to learn new skills to help build an elegant stack, and has the ability to handle challenging technical issues within a dynamic and fast-paced environment.

Responsibilities

• Design, manage, automate, and optimize worldwide Linux-based trading infrastructure by planning and executing complex technical projects and tasks
• Troubleshoot hardware and software issues across the stack 
• Design and implement system installations and upgrades 
• Deploy, configure, and test internal and external applications 
• Remain unfazed by production-critical issues, resolving them quickly and efficiently
• Benchmark and tune the performance of the trading stack 
• Hold vendors accountable on performance and reliability issues, with the ability to confidently go toe-to-toe with a vendor's Tier 2 engineering team during an escalation
• Join an on-call rotation schedule to cover trading hours and weekend shifts, as needed

Qualifications

• 7+ years of relevant experience supporting a live production environment (especially trading)
• Expert in installing, configuring, and troubleshooting Linux systems, from hardware and networking to kernel to applications 
• Knowledge of Debian/Ubuntu is desirable
• Proficiency with configuration management tools, particularly SaltStack – strong knowledge of Puppet, Ansible, Chef, or CFEngine is also desirable
• Advanced programming experience focusing on automation and integration; Python is strongly preferred
• Advanced shell (bash) scripting experience
• Significant experience managing and debugging production trading services
• Strong cross-functional communication and organization skills
• Proven ability to manage assigned projects efficiently, ideally using JIRA
• Architect-level cloud experience in AWS or GCP is desirable, but not required

This job is accepting ongoing applications and there is no application deadline.

The estimated base salary range for this position is 150,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience.

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

The role in a nutshell:

We’re looking for a Technical Support Engineer who’s equal parts problem-solver, translator, and customer hero. You’ll be the go-to person when customers hit snags with Chainguard Images, digging into technical mysteries, keeping folks informed, and partnering with Engineering to squash bugs before they cause chaos. This isn’t just “reset the password and move on” support: you’ll work on real, complex issues with modern tools (Docker, Kubernetes, GitHub, Helm charts, Terraform, etc.), make customers feel like superheroes themselves, and help shape how Chainguard delivers world-class support. Serious work, fun team, big impact.

What you’ll do:

• Be the frontline agent: Triage, investigate, reproduce, manage, and annihilate complex customer issues involving Chainguard Images.
• Escalate wisely: Engage the Engineering team when things get spicy.
• Communicate like a pro: Keep customers (and your SLAs) happy, informed, and impressed.
• Bridge the tech lingo divide: Explain things clearly to both code whisperers and non-tech humans.
• Document like a librarian: Create detailed write-ups of new issues and throw helpful Knowledge Base nuggets into the mix.
• Channel your inner detective: Prioritize your own queue, drive clarity in communication, and proactively guide issues to resolution.
• Speak up smartly: Push bugs, feature requests, and hidden gremlins up to Engineering and GTM teams.
• Learn, teach, repeat: Seek new challenges, share wisdom, and maybe teach someone your favorite GitHub ninja trick.
• Be there when it counts: Participate in an on-call rotation for after-hours, weekend, and holiday support.
  
  

What we're looking for:

• You’ve spent 3+ years supporting enterprise customers with a confident, calm approach.
• 3+ years under your belt with Linux, Docker and Kubernetes. You dream in containers.
• You deliver top-tier customer experiences with stellar written and verbal communication.
• You're a cross-functional harmony maker supporting teams across Engineering, Customer Success, and more.
• You're comfortable in the DevOps warzone: CI/CD, Linux, GitHub, Helm Charts, Terraform, Open source and all the good stuff.
• Experience with AWS, Azure, or GCP; AWS EKS experience is a plus.
• Extra kudos if you’ve flirted with security frameworks, software supply chain security, or vulnerability scanning.
• Extra kudos if you bring a KCNA or CKA certification and aspire to be a future Kubestronaut.
• Startup experience? Even better.  You’ve navigated fast lanes before.

A curious soul who learns faster than a caffeinated squirrel.

The role

We are looking for a Customer Engineer to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.

You’re welcome to work remotely from Europe.

Your responsibilities will include:

• Serve as the primary technical point of contact for troubleshooting and resolving complex AI/ML issues.
• Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
• Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
• Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
• Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

We expect you to have:

• Experience: 5+ years in roles like Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
• Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
• Experience with Kubernetes and Python programming.
• Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
• Customer-centric approach with a proven ability to build trust and foster long-term relationships.
• Strong ability to explain technical concepts to technical and non-technical audiences.

It will be an added bonus if you have:

• Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
• Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
• Proven experience mentoring technical teams and driving team growth.
• Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.

The role

Nebius seeks a Key Customers Solutions Architect to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.

You’re welcome to work remotely from Europe.

Your responsibilities will include: 

• Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML.
• Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
• Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
• Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
• Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

We expect you to have:

• Experience: 5 - 10 + years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
• Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
• Experience with Kubernetes and Python programming.
• Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
• Customer-centric approach with a proven ability to build trust and foster long-term relationships.
• Strong ability to explain technical concepts to technical and non-technical audiences.

It will be an added bonus if you have:

• Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
• Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
• Proven experience mentoring technical teams and driving team growth.
• Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.

The role

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

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

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

Key responsibilities

Reliability & Platform Ownership

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

Incident Response & On-Call

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

Observability & Operational Excellence

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

Automation & Tooling

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

About you

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

Essential skills

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

Desirable skills

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

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

The role

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

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

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

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

Key responsibilities

Reliability & Platform Ownership

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

Incident Response & On-Call

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

Observability & Operational Excellence

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

Automation & Tooling

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

About you

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

Essential skills

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

Desirable skills

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

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

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. A Technical Account Manager (TAM) will continue to provide hands-on technical services to our largest customers by supporting, adopting and providing guidance over the comprehensive suite of products and features available at Datadog. A TAM is held in high regard as an expert and trusted advisor for how IT Operations translates to business value.

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

What You’ll Do:

• Advise on technical support and product adoption for customers in line with pre-sales, post-sales and the renewal processes
• Analyze customer’s IT Operations environment on a regular basis and provide recommendations that will maximize Datadog’s value.
• Be the customer’s advocate by knowing their goals and use cases then suggesting process changes, product adoption, configuration and additional features to meet their requirements
• Participate and prepare for Monthly and Quarterly Business Reviews with customers
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify new features and products
• Continuously evolve best practice to technical product adoption and customer success

Who You Are:

• Someone with a solid technical grounding and hands-on experience of IT Operations
• Confident in your hands on experience AWS, Azure or GCP
• Comfortable scripting languages like Python, Javascript, Ruby, Perl, Go, PHP, or Chef/Puppet etc.
• Skilled in using CI/CD tools e.g. Jenkins, Gitlab etc.
• Knowledgeable about Containerization tools e.g. Docker, Kubernetes or Rancher etc.
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 30% of the time
• Previous experience working as a TAM supporting mid-market and/or Enterprise customers in the cloud space
• Experienced using Datadog and/or other cloud monitoring tools

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

Benefits and Growth:

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

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

Why we're hiring:

This is a senior leadership role with real scope and visibility. As Director of Security Governance & Posture, you will build and lead WPP's Technical Security Governance function — a team of domain specialists responsible for defining the security guardrails, posture expectations, and governance standards that protect one of the world's most complex and distributed technology estates.

You will not be managing firewalls or running a SOC. This role is about defining what good looks like, measuring whether we are getting there, and holding a large, fast-moving global organisation accountable for its security performance. You will own the governance framework across seven technical domains — Cloud, Vulnerability Management, Identity, Endpoint & Compute, AI & Agentic, Software Development, and Data Security — and lead the team that brings it to life.

If you thrive in complex, decentralised environments, know how to govern through influence rather than authority, and can turn messy security data into a clear story for a CISO or a board — this role is built for you.

What you'll be doing:

• Lead and develop a team of Technical Security Governance Leads, each owning a critical security domain, ensuring clear accountability, measurable outcomes, and continuous improvement.
• Own the governance framework — defining the standards, baselines, guardrails, and exception criteria that set the security performance bar across WPP's global technology estate.
• Drive posture measurement and performance reporting — owning the KPI/KRI framework that gives WPP's CISO and leadership team an honest, actionable picture of security risk and trajectory.
• Provide independent challenge and escalation — ensuring that material risks are identified, escalated, and treated, and that weak remediation plans or risk acceptances do not go unchallenged.
• Engage at the most senior levels — acting as the primary interface between Technical Security Governance and ET, DT&S, and business technology leadership, as well as Legal, Audit, and the CISO office.
• Build governance that works in practice — embedding security expectations into delivery workflows across a creative, fast-moving, globally distributed organisation without creating unnecessary friction.

What you'll need:

Essential Qualifications & Experience:

• Exceptional communication skills in English, both written and verbal, for diverse audiences.
• Bachelor's degree in Information Security, Computer Science, or a related technical field.
• Demonstrable experience in technical security governance, security assurance, or risk-based security oversight within a global enterprise.
• Profound understanding of leading cybersecurity policies, standards, and frameworks (e.g., ISO 27001, NIST CSF).
• Extensive technical security knowledge spanning multiple domains, enabling effective leadership of specialist teams, credible challenge, and keen discernment of incomplete information.
• Proven executive communication abilities to translate complex risk and security posture data into clear, concise, and honest narratives for both senior leadership and non-technical stakeholders.
• Practical experience governing security across diverse regions and regulatory landscapes, with a solid grasp of GDPR and other major data protection frameworks.
• Comprehensive understanding of client data obligations, recognizing their critical reputational and commercial implications.

Nice to Have:

• Relevant industry certifications such as CISSP, or cloud platform certifications (Azure, AWS, GCP).
• Familiarity with security posture and detection tooling, including CNAPP/CSPM, EDR, vulnerability scanning, identity telemetry, and effective evidence management approaches.
• Working knowledge of agile methodologies.
• Experience operating within multinational, multicultural, and matrixed organisational structures.

Key Competencies & Behaviours

• Proactive Problem-Solver: Anticipates governance and compliance challenges, developing and implementing effective solutions.
• Collaborative Team Player: Builds and nurtures strong relationships across diverse teams (e.g., Legal, Enterprise Technology) to foster alignment and optimise efficiency.
• Detail-Oriented: Ensures meticulous accuracy and thoroughness in policy development, risk assessments, and reporting.
• Adaptable & Resilient: Thrives in dynamic, fast-paced environments, quickly adjusting to evolving priorities and regulatory requirements.
• Unwavering Ethical Integrity: Upholds the highest ethical standards, ensuring strict compliance with policies and safeguarding the organisation's reputation.
• Strong Analytical Thinker: Proficiently interprets complex data to identify critical insights and formulate actionable recommendations.
• Effective Communicator: Clearly articulates technical concepts, findings, and recommendations to both technical and non-technical stakeholders.

Who you are:

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

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

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

What we'll give you:

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

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

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

#LI-Hybrid 

Customer experience

Customer experience at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions.

Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are looking for a Partner Solutions Architect to serve as the technical interface between Nebius and our strategic technology partners, ranging from data platforms and MLOps vendors to AI frameworks and ISVs that build on GPU infrastructure. 

This is a hands-on engineering and integration role. You will design and develop integrated solutions, build reference implementations, enable partner engineering teams, and ensure joint customers succeed with combined offerings. You will influence Nebius’ product roadmap and drive deep technical collaboration across partner ecosystems.

You’re welcome to work from our office in Amsterdam or remotely from any EU country.

Your responsibilities will include: 

• Own the technical relationship with strategic partners as the primary interface to Nebius engineering and product
• Design and architect high-impact integration solutions, delivering clear joint customer value
• Build and maintain reference implementations and production-grade integrations
• Define enterprise-ready integration patterns (networking, security, compliance, observability)
• Translate partner and customer feedback into actionable product and roadmap requirements
• Enable partner teams through technical documentation, training, and demo environments
• Provide technical leadership in joint customer deployments, architecture reviews, and complex troubleshooting

We expect you to have: 

• 5+ years in solutions architecture, partner engineering, or technical pre-sales at cloud or data platform companies
• Strong expertise in cloud infrastructure
• Hands-on experience with GPU-accelerated AI/ML workflows (training, inference, MLOps)
• Proven background in integration architecture (API design, data pipelines, security, observability)
• Experience with Python and IaC tools
• Excellent communication skills with the ability to engage technical and non-technical stakeholders

It will be an added bonus if you have: 

• Track record of building or scaling partner technical programs or ecosystems
• Experience working with or at Snowflake, Databricks, AWS, Azure, or GCP
• Background in ML lifecycle (training pipelines, fine-tuning, inference optimization, RAG

About the role:

This is a Strategic role to lead our GCP and Databricks Data and AI Alliances across EMEA. dbt contributes significantly to the success of these partners and the AI enabled value their customers enjoy.

dbt’s provides the Data Infrastructure required to contextualise and unlock trust in AI. Used by over 90,000 companies every week either as Open Source ‘dbt core’ or paid for offering ‘dbt Platform’. We are one of the fastest growing pre IPO Data and AI companies. Proud to have customers such as: Astra Zenica, Sky, Unilever, Norges bank, Volvo, Bankinteer, Siemens, Toyota and many more...

Our aim is to partner with these Alliances to accelerate customer data transformations and heavily integrate into their AI roadmaps. In doing so, generate net new sourced business for dbt Labs and these partners. 

In partnering with GCP and Databricks this role will generate significant partner sourced and influenced ARR for the EMEA business. The role is set within the wider Partner Management business of EMEA, with counterparts covering other Technical Alliances and System Integrators. Both supported by our fantastic Partner Solutions Architecture and Partner Marketing teams.

Candidates must be based in the United Kingdom.

In this role, you can expect to:

• Serve as the primary point of contact for GCP and Databricks across EMEA. 
• Build the strategy and execution plan for the region delivering new pipe generation and joint capability. Ultimately maximising closed won ARR.
• Onboard new GCP and Databricks teams to the joint value proposition. Providing education on our product offerings, partnership tools, and processes. Directing teams to self-serve where necessary.
• Maintain regular communication through scalable channels with partners’ teams, their customers and the partner community within the Geography. Example hands on labs, newsletters, webinars, and email campaigns.
• Develop and maintain detailed QBR planning and a business plan that holds strong Executive followership.
• Continually drive the improvement of our overall partner program with suggestions to our head of operations and regional VP.

You’ll have an edge if you have:

• Prior experience in AI, analytics, ETL, BI, and/or open-sourced software
• Knowledge of or prior experience with dbt, GCP and or Databricks. 
• Strong Sales and or Partnership experience of building a sourcing channel.
• Entrepreneurial spirit and evidence of driving business outcomes from this.

Compensation

We offer competitive compensation packages commensurate with experience, including salary, RSUs, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process.

What to expect in the interview process:

• Interview with Talent Acquisition Partner
• Interview with Hiring Manager
• Team Interviews with members of the Sales team + challenge presentation. 

#LI-SW1

• Develop and monitor credit risk strategies, balancing risk against returns. These strategies may cover a variety of different channels and products, and cover the full credit lifecycle, from new business to Collections
• Develop and maintain frameworks to monitor portfolio risk performance, ensuring it’s within agreed risk appetite; transforming data into recommendations
• Lead analytical deep-dives into portfolio trends and emerging risks
• Represent risk to the wider business, driving changes via the product team and
• presenting analytical work to senior management
• Identify and deliver risk performance improvements across Liberis’s existing and new products globally - from pricing adjustments to policy changes
• Closely collaborate with colleagues across Liberis, especially in the Analytics, Data Science, Partnerships, Pricing and UK/US/European teams

• 2–4 years of experience in an analytical role working on credit risk strategies, portfolio analysis, or lending products
• Demonstrated ability to identify emerging risks and propose practical actions or strategy changes based on data
• Evidence of taking ownership of analyses and driving work through to recommendations and outcomes
• Good commercial awareness - able to balance risk and return when forming recommendations
• Experience working across functions - comfortable managing stakeholders at different levels, presenting risk recommendations to product, commercial, or leadership teams, and adapting your message to the audience
• Hands-on experience with data (SQL, Python, SAS or similar), strong Excel skills, Google Cloud Platform tools (Looker, dbt, Big Query) or Power BI
• Clear communication skills, with the ability to explain complex findings simply and persuasively

What happens next?

Think this sounds like the right next move for you? Or if you’re not completely confident that you fit our exact criteria, apply anyway and we can arrange a call to see if the role is fit for you. Humility is a wonderful thing, and we are interested in hearing about what you can add to Liberis!

Our hybrid approach

Working together in person helps us move faster, collaborate better, and build a great Liberis culture. Our hybrid working policy requires team members to be in the office at least 3 days a week, but ideally 4 days. At Liberis, we embrace flexibility as a core part of our culture, while also valuing the importance of the time our teams spend together in the office.

 #LI-CG1 

Mission

Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You’ll Do

• Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
• Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
• Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

• Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
• Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Preferred Tech Stack:
  • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
  • Prior experience with GCP is a plus

What We Offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Mission

Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You’ll Do

• Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
• Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
• Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

• Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
• Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Preferred Tech Stack:
  • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
  • Prior experience with GCP is a plus

What We Offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.