Rubrik’s Sales and Sales Engineering organization is a united team of elite, cross-functional professionals helping companies and government entities build resilience against cyberattacks, malicious insiders, and operational disruptions. We provide continuous professional development through our world-class sales enablement program, and our One Rubrik selling approach gives you all the resources you need to exceed your goals, maximize your earning potential, and take your career to the next level—all while doing something that truly matters: protecting the world’s data.

• Provides technical leadership and direction to customers and internal staff in the development of fully integrated technology solutions in support of pre-sales activities in the assigned market.
• Assists in the analysis, design and development of fully integrated technology solutions.
• Demonstrates technical leadership and subject matter expertise on Rubrik’s products, distributed architectures, file systems, and competitive storage offerings.
• Acts as technical expert and consultant to develop and propose solutions that meet the technology and business requirements of assigned customers.
• Makes technical and sales presentations to customer's technical staff and senior management.
• Serves as a trusted technology advisor to customers and serves as an internal resource on technical issues or specific business applications within an assigned market segment.
• Successfully builds relationships with the account team, partners and customers in support of sales team objectives and engages and leverages corporate resources, abilities, budgets and personnel as appropriate.
• Leads technical sales calls and whiteboarding/discovery sessions.
• Qualifies sales opportunities in terms of customer technical requirements, competition, decision-making process and funding.
• Partners with AEs on pipeline generation from both existing accounts (white space/expansion) and new prospects (supporting discovery).

• Ideally 5+ years of sales engineering experience preferably in cloud infrastructure, SaaS security or data centre.
• Strong expertise in Azure (priority) and/or AWS; familiarity with cloud data management, and ideally in backup, disaster recovery, and cyber resiliency.
• Driven – need for success, highly energetic with a strong hands-on, “can do” approach.
• Entrepreneurial - willing to go the extra mile, strong work ethic, resourceful, “get it done” attitude.
• Thrives in a fast-paced environment; able to handle multiple calls/demos per day with immediate follow up.
• A high level of business acumen and experience working with CxO-level personnel, bringing technology solutions to solve business challenges.
• Personable, and confident communicator — able to engage both technical staff and senior executives.
• Smart, adaptable and open-minded.
• Ideally Bachelor’s degree or equivalent experience.
• Public Sector background is a plus, but not required.

#LI-REMOTE

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.

Available Locations: Netherlands, United kingdom, Germany, Portugal, France, Sweden

About Solutions Engineering at Cloudflare

The Pre-Sales Solution Engineering organization owns the technical sale of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and adoption roadmap for our customers. Solutions Engineering is made up of individuals from a wide range of backgrounds - from Financial Consulting to Product Management, Customer Support to Software Engineering, and we are serious about building a diverse, experienced and curious team. 

What you'll do as a Solutions Architect

The Solutions Architect is a senior technical leadership role. You are a customer facing hands-on technologist with credibility built on domain expertise across Cloudflare portfolio.  You should have solid experience in influencing enterprise architecture design across various senior buyer personas both at customers and partner organizations. Your role will be to convince these decision makers of the long term value of thinking of Cloudflare as a strategic technology partner. 

You will work closely with every team at Cloudflare, from Sales and Product, through to Engineering and Customer Support. Your goal of customer success should drive you through the entire organization as you seek out and create scalable solutions for your customer’s needs.

You will work as a part of a highly visible structured pursuit team attached to designated strategic accounts, working to understand their unique business challenges and priorities with a goal of defining short and long term solution architecture with Cloudflare as a centerpiece. An equally important component of this role is the expectation that you scale your expertise and knowledge across the wider Pre Sales Solution Engineering organization.

Specifically, we are looking for you to:

• Build and maintain the long term technical relationship of key accounts, ensuring the successful design, proof and adoption of Cloudflare as a part of the customers critical infrastructure.
• Identify and drive strategic conversations with key stakeholders with the purpose of increasing our reputation and authority within the business, and further establishing our footprint within the customers landscape.
• Be the voice of the customer, engaging and influencing Product Management and Product Roadmap to serve their needs. 
• Demonstrate your expertise of Cloudflare within your field through the creation of professional content, including white papers, reference architectures, blog posts.
• Represent and Evangelize Cloudflare externally at Developer, Community, Technology, Cybersecurity and Industry focused events with thought leadership and expertise.
• Apply in-depth vertical knowledge or domain expertise. Advise on best practices.

Desirable skills, knowledge and experience

• 7+ years of experience in similar role or experience in a technical leadership role
• Previous experience as a solution architect, consultant or technical marketing engineer building, architecting or deploying security solutions
• Good understanding of AI, security challenges and its applicability to today’s enterprise landscape
• Proven track record using it to help drive revenue.
• Strong knowledge of Security Architecture, Design and Operations
• Working knowledge of the broader threat landscape and the ability to distill technology trends, and explain complex behaviors in simple terms
• Proven experience working with customers and partners in successful design and deployment of solutions
• Ability to juggle and successfully drive projects with customers, prospects, and partners.
• Experience with cloud computing solutions implementations including Microsoft 365, Azure, Google, AWS.
• Experience with Application, Security, Performance and Reliability products such as WAF, Bot Management, DDOS, Firewall, DNS and CDN.
• Knowledge of competitive market  around CDN providers, Web application Firewall, Remote access solutions, Next generation Firewalls, DDOS mitigations solutions, SD-WAN solutions , Secure Gateway solutions, SSE/SASE
• Proven hands-on experience with information security solutions such as Web Proxy, NGFW, Security Gateways, SIEMs, SAML/SSO, DLP, Data security and protection technologies such as HSM, Tokenization & encryption gateways.  
• Experience working with Identity Providers such as Entra AD, Okta, Ping, OneLogin, etc.
• Knowledge of web application programming XML, REST/SOAP API’s, REST, JSON,
• Experience in cloud computing based services architecture, technical design and implementations including Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS) delivery models.
• Knowledge of scripting languages such as Python and IAC products like Terraform
• Knowledge of security and cryptography.
• Knowledge of cloud/virtualization technologies and containerization

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.

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

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

We manage four main storage platforms, namely:

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

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

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

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

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

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

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

Who we are looking for

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

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

ABOUT FANDUEL
FanDuel Group (“FanDuel") is an innovative sports-tech entertainment company that is changing the way consumers engage with their favorite sports, teams, and leagues. The premier gaming destination in the United States, FanDuel consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance-deposit wagering, and TV/media. FanDuel has a presence across all 50 states with approximately 17 million customers and 28 retail locations. FanDuel is based in New York with offices in New Jersey , Georgia, California, Oregon, Canada and Scotland. Its networks FanDuel TV and FanDuel+ are broadly distributed on linear cable television and through itsrelationships with leading direct-to-consumer over-the-top platforms. FanDuel Group is a subsidiary of Flutter Entertainment plc, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

THE ROSTER
At FanDuel, we give fans a new and innovative way to interact with their favorite games, sports and teams. We’re dedicated to building a winning team and we pride ourselves on being able to make every moment mean
more, especially when it comes to your career. So, what does “winning” look like at FanDuel? It’s recognition for your hard-earned results, a culture that brings out your best work—and a roster full of talented coworkers.
Make no mistake, we are here to win, but we believe in winning right. That means we’ll never compromise when it comes to looking out for our teammates. From creatives professionals to cutting edge technology innovators,
FanDuel offers a wide range of career opportunities, best in class benefits, and the tools to explore and grow into your best selves. At FanDuel, our principle of “We Are One Team” runs through all our offices across the
globe, and you can expect to be a part of an exciting company with many opportunities to grow and be successful.

THE POSITION
Our roster has an opening with your name on it

We’re looking for passionate technologists, strong communicators and those with a commitment to continuous improvement.

• The ideal candidate will have the confidence to propose pragmatic solutions to complex problems and be eager to learn from and educate others.
•  As a Senior Software Engineer, you will work in empowered, multidisciplinary teams, autonomously tackling complex challenges that provide the very best experiences and products for a growing community of millions of players.
• You use technology to solve straightforward problems, seeking input and guidance from team members.
• You may create or have responsibility to improve or invent small tools or applications.
• You can take defined design and turn it into code and deliver it on schedule, applying appropriate technologies and current software engineering best practices. You writeecure, stable, testable, maintainable code with minimal defects.
• You are proficient in a broad range of data structures and algorithms, knowing when it is appropriate to use them and when it is not.
• You make appropriate implementation trade-off decisions.
• You participate in team design, scoping and prioritization discussions.
• You seek to learn the business context and technologies behind your team's software.
• You work effectively with other team members & identify any opportunities/problems arising from technical decisions.
• You invent, refine and develop your solutions to ensure they are meeting customer needs and team goals. You are a passionate advocate for your customer.

Our Responsible Gaming team's mission is to create a best in class regulatory experience for our customers. We do this by working with internal stakeholders and our Regulatory Partners to build scalable, flexible solutions to satisfy regulatory requirements in jurisdictions across the US and Canada. We strive to build internal tools that have clear contracts and are easy to integrate with to enable teams across FanDuel’s portfolio.

THE GAME PLAN
Everyone on our team has a part to play
You own parts of product and technology & strive to become a subject matter expert.

• You are responsible for designing the software or systems required in my area of ownership and ensuring that they meet
  their design objectives.
• Tou are able to give quality feedback on designs written by other members of my team, asking probing, insightful questions that solidify choices and surface erroneous assumptions.
• You effectively and quickly debug cross-module issues, and may intuit where bugs might lie due to my deep knowledge of the libraries, platforms, and systems that my software relies on.
• You write simple and extendable code following standards and best practices. You test your code thoroughly. You help balance customer requirements with the team requirements.
• You are responsible for designing the software or systems required in my area of ownership and ensuring that they meet their design objectives.
• You are able to create coherent designs with multiple components interacting across API or system boundaries; bugs do not creep in at the boundaries between components due to mismatches in expectations of what is technically feasible.
• You are capable of rolling out a component or major feature (and deprecating an existing system or feature) reliably - including appropriate monitoring, paging, etc are in place, and that failure domains are understood and characterized appropriately before large scale rollout. For early stage products, I am able to roll out with an eye toward achieving learning goals untainted by poor quality.
• You help your team evolve by actively participating in the code review process, design discussions, team planning, and
  support ticket reviews.
• You take on projects and make software enhancements that improve the team software and processes.
• You work to resolve the root cause of complex problems, leaving software better and easier to maintain than when you found it.
• You estimate stories/tasks accurately and deliver them in time. You keep yourself up to date with industry tools, utilities, and open-source frameworks.
• You participate in the interview process and help your team train other Software Engineers
• You will keep yourself up to date with market standards and open-source frameworks.
• You participate in the on-call support rotation for your organization.
• Most importantly, be humble, pragmatic, self-managed, thirsty for knowledge, never satisfied and always challenging the norm.

THE STATS
What we’re looking for in our next teammate

• Degree in Computer Science, related field, or equivalent work experience.
• Experience and passion for writing highly scalable, fault tolerant and always available backend systems & APIs using Java or similar Object-Oriented programming languages
• Good grasp on relational, non-relational databases, messaging queues and handling concurrency
• Understanding of modern architectures, design patterns, and platform nuances
• Knowledge of release process best practices for APIs and services within production systems
• Experience working with cloud-based infrastructure and technologies, preferably AWS.
• Familiarity with defining infrastructure as code using Terraform or similar
• Understating of containers (e.g. Docker), and orchestration (Kubernetes).
• Expert experience with testing concepts, test tools, and integrating testing and best practices in the SDLC
• Strong sense of ownership, urgency, and drive.
• Familiarity working in an Agile environment
• Passion for working within a fast-paced environment and can adapt to change

PLAYER BENEFITS
We treat our team right
From our many opportunities for professional development to our generous insurance and paid leave policies, we’re committed to making sure our employees get as much out of FanDuel as we ask them to give.
Competitive compensation is just the beginning. As part of our team, you can expect:

•  An exciting and fun environment committed to driving real growth
•  Opportunities to build really cool products that fans love
• Mentorship and professional development resources to help you refine your game
• Be well, save well and live well - with FanDuel Total Rewards your benefits are one highlight reel after another

FanDuel is an equal opportunities employer and we believe, as one of our principal states, “We Are One Team!” We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry,religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, Veteran status, or another other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included. We want our team to include diverse individuals because diversity of thought, diversity of perspectives, and diversity of experiences leads to better performance. Having a diverse and inclusive workforce is a core value that we believe makes FanDuel stronger and more competitive as One Team!

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). 

Overview:

This position will be primarily focused on AWS, Cloud Systems Administration and involved in the design, implementation, and maintaining of secure systems in a mixed Linux, Windows environment. This position will also collaborate with cross-functional teams to ensure new and existing requirements are being met.

What you will do:

• Design, implement, and maintain secure systems and networks in a mixed Windows, Linux development environments in a mixture of on-prem, AWS and Azure
• Develop and implement security measures, policies, and procedures to protect systems and networks against unauthorized access, data breaches, and other security incidents according to industry best practices
• Monitor and analyze security logs and events, and respond to security incidents in a timely manner
• Conduct security audits and assessments to ensure compliance with applicable regulations, industry best practices, and organizational security policies
• Automate routine tasks using the right tool for the job whether that’s an automation platform or scripts
• Have an eye for details, whether that be contracts, costs, day to day work
• Experience of working in a role-based organization and liaising with all the different functional teams to get the job done
• Stay updated on the latest security threats, technologies, and industry trends, and provide recommendations for improving security posture
• Participate in incident response activities, including investigation, containment, and recovery efforts, as needed
• Resolve any system-related problems that may arise in a timely and efficient manner.

What we are looking for:

• 10+ years of experience working with the AWS platform
• Expert in both Windows and Linux system administration in an Enterprise environment
• Exceptional network trouble shooting ability
• A self-starter, can work solo or as part of a large geographically spread team
• Experienced with all facets of life working in an Enterprise sized company
• Someone who can bring the benefit of their experience and knowledge to the team to help us succeed

#LI-DR1

#LI-Remote

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

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.

See yourself at Twilio

Join the team as Twilio’s next Senior Software Engineer.

About the job

This position is needed to deliver the best-in-class Twilio SDK experience for our customers.

Twilio’s SDK engineering team builds robust, powerful SDKs and a GraphQL layer to enable developers build their own Contact Center UIs and real-time AI Contact Center products. Many other teams rely on integrating and exposing their services via the Unified SDK layer to deliver their advanced features to our customers. The position is especially critical in supporting Twilio’s expansion and will be central to creating a core product that provides leverage to all of Twilio’s Flex Contact Center and engineering teams!

Responsibilities

In this role, you’ll:

• Design, build, and maintain large-scale backend services with a focus on reliability, availability, scalability, and performance.
• Lead technical design efforts and ensure architecture decisions are well-documented and future-proof.
• Collaborate closely with senior engineers, product managers, and cross-functional stakeholders.
• Champion high-quality engineering practices, including automated testing, maintainable code, and thorough documentation.
• Own and continuously improve Twilio’s developer experience for SDK customers.
• Support customers by troubleshooting issues and promoting backend and SDK best practices.
• Contribute to operational excellence by maintaining a high reliability bar and participating in incident response and system improvements.

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:

• Bachelor’s/Master’s in Computer Science, Engineering, or related field.
• 5+ years of experience building and operating cloud-scale backend systems.
• Strong programming skills in backend languages such as Java or Scala.
• Experience authoring technical specifications and delivering end-to-end system designs.
• Strong fundamentals in concurrency and distributed systems.
• Experience working with AWS or other cloud platforms at scale.
• Proven ability to maintain a high operational excellence bar and mentor junior engineers on reliability and maintainability.
• Strong communication skills and the ability to thrive in collaborative, fast-moving teams.

Desired:

• Excellent problem-solving and critical thinking skills.
• Any prior experience building SDKs and GraphQL BFF layer is an added advantage.
• Ability to establish backend engineering guidelines and represent the team within the broader Twilio engineering organization.
• Passion for delivering high-quality products and continuously learning new technologies.
• Strong sense of ownership and accountability.
• Comfortable navigating ambiguity and driving clarity in evolving environments.

Location

This role will be remote and based in the UK

Travel 

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

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!

So, what’s the role all about? 

The Senior Automation Engineer develops tests and maintains the NiCE CXone software platform. Key responsibilities include all tiers of the NiCE CXone technology, including (but not limited to) Test design and test Strategy for NiCE CXone products and features test automation, code reviews, resolving defects encountered during the QA cycle, supporting the production environment, and assisting other developers in a team environment utilizing agile development processes. 

How will you make an impact? 

• Serves as the senior QA professional in the R&D group
• Committed to the quality of the released content
• Reviewing new designs, challenging them to detect potential quality concerns, and proposing ways to address them
• Take an active role in-process inspection and improvement
• Actively track the team’s tasks, analyze the testing needs and define QA activities and ownership
• Plan, define and execute tests as part of the team’s QA related activities
• Continuously analyze and challenge existing testing coverage (manual and automatic tests)
• Monitor the test and production environments
• Write and maintain E2E automated tests

Have you got what it takes?

• At least 4 - 7 years of experience in QA/Automation positions
• The wide perspective of complex product solutions (business, technical, architecture)
• Experience in test design and execution for complex systems (manual and automatic). Deep understanding of QA methodologies
• Comprehensive experience working in an Agile development process
• Hands-on experience in Playwright, Java/JS or other OO language. Experience with writing SQL queries
• Fluent in English
• Team player
• Experience with AWS
• Experience with SDLC of SaaS products
• Hands-on experience with automated testing tools both for UI and APIs testing

Enjoy NiCE-FLEX! 

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. 

Requisition ID: 9630
Reporting into: Director, Engineering.
Role Type: Individual Contributor.

#LI-Hybrid

The role

We are seeking a highly skilled and customer-focused professional to join our team as a Solutions Architect specializing in Cloud infrastructure and MLOps. As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines.

You’re welcome to work from the United Kingdom.

Your responsibilities will include: 

• Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices.
• Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers.
• Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI.
• Act as a single point of expertise of customer scenarios for product, technical support, marketing teams.
• Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.)

We expect you to have: 

• 5+ years of experience as a cloud solutions architect, system/network engineer, developer or a similar technical role with a focus on cloud computing
• Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, skills of writing code in Python
• Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL)
• Excellent communication skills
• Customer-centric mindset

It will be an added bonus if you have: 

• Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow)
• Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch)
• Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google) 

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

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.

Why Verifone

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

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

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

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

What’s Exciting About the Role

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

Key Responsibilities

Kafka Operations & Reliability

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

Scripting, Automation & DevOps

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

Data Pipeline Development

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

Cloud & Infrastructure

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

Required Qualifications / Skills

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

Preferred Skills (Highly Desired)

Data Engineering & Pipelines

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

Database & Caching Technologies

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

Infrastructure & Security

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

What We Offer

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

Our Commitment

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

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

Senior Technical Operations Developer – London, UK 

PlayStation Studios User Research is a team that serves all of PlayStation’s global first- and second-party game development studios. We conduct research with players throughout the development process and deliver data and insights to development teams to help them improve the games and to ensure players have the incredible experiences our studios intend for them to have.

To do this work, we have created bespoke, high-tech playtest labs and proprietary toolsets that allow us to livestream our play sessions to studio partners and collect and analyze data efficiently. We are looking for a skilled developer to work with our global Technical Operations team to help with building out those toolsets and supporting the technical requirements of the research.

Principal responsibilities

• Building tools that provide solutions for the end-to-end research process.

• Helping define and being accountable for the long-term technical roadmap and technical requirements for the team’s research tools infrastructure.

• Anticipating incremental changes to the team’s technical needs and planning accordingly to pursue improvements to existing tools and systems.

• Sizing and prioritizing tasks and the roadmap within an agile development workflow.

• Designing and utilizing structured feedback mechanisms to continuously evolve research tooling.

• Maintaining and troubleshooting holistic lab systems.

• Creating scalable solutions for wide-ranging technical troubleshooting and self-help for a large team.

• Proactively educating the research team and Studio teams about research tools and infrastructure.

• Owning relationships with relevant vendor partners and internal partners.

Qualifications

• Experienced with full-stack coding for web-based applications primarily in PHP, JS, React, and utilizing relational databases.

• Understanding of common services in AWS, including deploying and operating containerized services, networking fundamentals, and monitoring/alerting.

• Technical writing.

• Non-technical skills are as important as technical:

• Strong verbal and written communicator.

• Interest in learning & growing.

• Willingness to collaboratively solve problems with their broad range of technical knowledge.

• Critical thinker and problem solver.

• Can-do attitude for troubleshooting and creating solutions.

• Contributes to an existing strong team culture centered on openness, helpfulness, playfulness, and psychological safety.

• Ability to work quickly and re-prioritise work when necessary to unblock expensive and time-sensitive playtests.

PlayStation Studios User Research has a hybrid working model. The Senior Technical Operations Developer will need to be onsite when configuring or setting up lab equipment. When there is not a need to work onsite in the playtest labs, this position may work from home or wherever they feel most productive.

Though not required, the ideal candidate will also have a love of video games and a passion for empowering game development teams and our research team to do their best work.

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).

ABOUT THE TEAM

The Multinational Digital Infrastructure team is responsible for designing, deploying, and sustaining the sovereign and multinational systems that power Anduril’s global Maritime and AUKUS missions. As a Cloud Engineer, you will design and implement cloud environments that enable Anduril to effectively operate sovereign programmes in the U.K. and Australia, as well as expanding to other nations as Anduril’s global presence increases. You will work across engineering, security, and product teams to ensure our digital infrastructure is secure, scalable, and ready to support emerging mission demands.

WHAT YOU’LL DO

• Design, deploy, and maintain enterprise cloud landing zones, security and infrastructure tooling.
• Collaborate with teams across the U.S. and Australia to enable secure connectivity between other sovereign cloud environments.
• Partner with government customers, authorizing officials (AOs), cybersecurity teams, and policy shops to accelerate accreditation, break through legacy barriers, and unlock access for cross-nation engineering teams.
• Implement infrastructure automation (IaC), observability tooling, and secure configuration baselines to support scalable, repeatable environment builds.
• Work closely with product, autonomy, Lattice, and Maritime engineering teams to integrate infrastructure capabilities with platform development, testing, and deployment workflows.
• Act as a technical leader during environment standup, troubleshooting, and validation events; ensure classified systems perform reliably in support of mission-critical needs.
• Support development of next-generation secure architectures for multinational development, data sharing, and mission system integration across Maritime platforms.
• Serve as a technical representative during customer events, exercises, and operational demonstrations to ensure infrastructure readiness and mission success.

REQUIRED QUALIFICATIONS

• Ability to obtain and maintain a UK security clearance to SC level - see UK Security Vetting’s guidance pack for further details.
• Bachelor’s degree in STEM field or equivalent engineering experience.
• Technical depth in one or more: cloud infrastructure, secure networking, systems engineering, DevSecOps, platform architecture, cybersecurity, identity & access management. Specific technology will include:
• Cloud - AWS, Azure
• Infrastructure as Code - Terraform, CloudFormation
• SCM - GitHub Enterprise
• CI/CD - CircleCI, Gitlab
• IDAM + SSO - Okta, AWS Identity Center
• 8+ years of relevant engineering, infrastructure, or technical program execution experience.
• Willingness to travel domestically and internationally as required - typically around 10%.

PREFERRED QUALIFICATIONS

• Experience with secure systems engineering, ideally within UK Government or Defence. Experience in other highly regulated industries may also be relevant - for example Financial Services, Energy or Healthcare.
• Experience provisioning large enterprise cloud platforms for hundreds or thousands of users.
• Experience designing or maintaining distributed systems, secure networks, or infrastructure supporting autonomy, AI/ML, or big data workloads.
• Demonstrated ability to work across technical disciplines, influence without authority, and operate in ambiguous and fast-paced environments.
• Experience working with international partners or navigating multi-nation technical or policy workflows.

About the Team: 

The Business Systems team is responsible for building and improving the many systems that enables Anduril to accomplish its mission. Anduril’s supply chain, accounting, sales & growth, engineering, modeling & simulation, field maintenance, manufacturing, and many more teams rely on the technology built and maintained by our team. We work across the company to ensure we have the tools and capabilities necessary for mission success.

We are seeking a highly skilled PLM Administrators to join our team. You will be responsible for helping product and program teams maximize the value they get out of the engineering systems they use on a daily basic (PLM, CAD, CAE, etc.). You will work across a broad set of stakeholders to design, develop, and implement improvements and optimizations to our engineering systems while helping steer future investments.

Key Responsibilities:

• Collaborate with engineering partners to understand their requirements and translate them into functional and technical solutions alongside other EngOS (engineering software support) team members
• Provide training and support to users during and post-implementation to ensure adoption of new technology
• Lead the development and implementation of new features, including defining project scope, requirements, timelines, and budgets
• Collaborate with developers to identify and address issues, bugs, and enhancement requests from both PLM and any integration to other systems (CAD, etc.)
• Provide support for the installation and post go-live of upgrades and new modules within PLM
• Work with vendors and third-party service providers to implement upgrades and new modules
• Collect infrastructure and configuration questions for PLM and any integration to other systems (CAD, etc.)
• Collaborate with a global PLM team to ensure system alignment across regions, optimize processes, and maintain data integrity for effective product lifecycle management.

Required Characteristics:
Anduril is an extremely fast-paced defense manufacturing and technology startup that is rapidly scaling itself. Our culture is one of ambition, hard work, relentless pursuit of excellence, and deliberate disruption. The successful candidate will be one who demonstrates the follow core characteristics:

• Bias for Action - they ask for forgiveness, not permission, and hate the idea of waiting around to be told what to do
• Dive Deep - they sweat the details and roll up their sleeves to uncover the root causes for systemic issues
• Ownership - they care deeply not just about their systems, but for all the business outcomes that their systems supports as well, holding themselves accountable for everything it both does and fails to do
• Agility - they change directions easily and without regret, quickly adapting to shifting business priorities
• First Principles Thinking - they approach problems and develop solutions not based on what a vendor recommends or because it’s how they did things at their last job, but from a deep appreciation of what is best for the enterprise
• Excellent problem-solving and troubleshooting abilities
• Strong communication skills to effectively interact with engineers and technical teams
• Ability to prioritize tasks and manage multiple projects simultaneously
• Willingness to learn - willing to pick up learning new tools and systems (Teamcenter)

Required Qualifications:

• 5+ years of experience in installing, developing, implementing, upgrading, and maintaining engineering software tools (PLM, CAD, CAE, SysML, etc.)
• Understanding of CAD/CAM/CAE systems and their integration with PLM solutions
• Strong analytical and problem-solving skills, with the ability to root cause end user and infrastructure related issues.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
• Knowledge of both Windows and Linux systems, along with software installations (AWS Cloud/Azure nice but not required)
• Must be eligible to obtain SC clearance as a minimum.

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’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.

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 (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.

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

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.

Job Title: Senior Python Engineer

Location: Remote (UK) with Occasional Travel - Applications from non-UK countries will be rejected
Division: Inizio Medical – Data & AI Team

About Inizio Medical

Inizio Medical is part of Inizio, the world’s leading healthcare and communications group. We are a trusted partner to pharmaceutical and healthcare clients, translating complex science into meaningful impact. Our division focuses on evidence-based communications and education for healthcare professionals and payers.

About the Role

We are seeking a senior, hands-on Python Engineer to join our growing Data & AI team. This role is ideal for an engineer who enjoys building robust backend systems, APIs, and services that power modern applications at scale.

You will work on the backend foundations of next-generation applications, including systems that incorporate generative AI and LLM-based capabilities. Prior experience with generative AI is not required—we are looking first and foremost for a strong Python engineer with excellent software engineering fundamentals who is interested in applying those skills in a fast-evolving domain.e

You’ll collaborate closely with software engineers, data scientists, and product teams to design, build, and operate production-grade systems used in real-world healthcare and life sciences environments.

Key Responsibilities

• Design, build, deploy, and maintain scalable Python services and APIs using modern backend and cloud-native patterns.
• Develop clean, testable, and well-structured Python code for data-intensive and workflow-driven applications.
• Build and integrate backend components that support AI-enabled features (e.g., orchestration layers, inference services, data pipelines).
• Integrate with third-party APIs and external services, ensuring reliability, performance, and cost efficiency.
• Own production concerns including logging, monitoring, error handling, and performance optimisation.
• Contribute to CI/CD pipelines, infrastructure-as-code, and containerised deployments.
• Collaborate with product, data, and engineering stakeholders to translate requirements into high-quality technical solutions.
• Write clear technical documentation for engineers and non-technical audiences.
• Contribute to a collaborative, pragmatic, and high-quality engineering culture.

About You

• Strong professional experience as a Python engineer, building and operating production systems (e.g., SaaS platforms, backend services, data-driven applications).
• Deep knowledge of Python fundamentals, including application architecture, performance considerations, testing, and maintainability.
• Experience building backend systems using frameworks such as FastAPI, Flask, Django, or similar.
• Solid understanding of cloud-based architectures (AWS and/or Azure), containers, and microservices.
• Experience working with CI/CD pipelines, version control, and modern development workflows.
• Strong debugging and problem-solving skills in distributed or data-heavy systems.
• Comfortable collaborating in cross-functional, Agile teams and taking ownership of delivered solutions.
• Curious, pragmatic, and motivated by building reliable systems that deliver real-world impact.

Nice to Have (Not Required)

• Exposure to data platforms or analytics workflows (e.g., Databricks, Airflow).
• Familiarity with LLMs, generative AI APIs, or AI-enabled application patterns.
• Experience with observability and monitoring tools (e.g., Prometheus, Grafana, Sentry).
• Contributions to open-source projects or shared internal libraries.
• Experience in regulated or high-compliance domains (e.g., healthcare, life sciences, finance).

What We Offer

• Competitive salary and benefits package, including private medical insurance and company pension.
• Flexible, remote-first working environment with occasional travel.
• The opportunity to work on meaningful, high-impact products within a global healthcare organisation.
• A friendly, low-ego culture that values engineering quality, learning, and collaboration.

Ready to Apply?

If you’re a strong Python engineer who enjoys building high-quality systems and is interested in applying your skills to emerging technologies in healthcare, we’d love to hear from you.

^{Your responsibility will involve:}

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

^{Minimum Requirements:}

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

^{Preferred Requirements:}

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

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

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

^Benefits

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

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

^{🏡 Flexible working from home policy}

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

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

^{🧡 Enhanced parental leave}

^{🚲 Bike2Work scheme}

^{📚 Annual learning and development allowance}

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

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

^{🌸 Menopause care programme with Maven}

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

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

We are seeking a highly capable Senior Software Engineer to help design, build and evolve resilient, event-driven, cloud-distributed systems. This role is ideal for an engineer who combines deep technical expertise, strong computer science fundamentals, and commercial awareness - someone who not only understands how systems work, but what they are meant to do and why. The role requires a constructive, can-do approach and the ability to operate effectively in a fast-paced setting.

You will work across the full engineering lifecycle from system architecture and data modelling to implementation, testing and operational excellence. You will be encouraged to use modern AI-assisted tooling and continuously improve our platforms, while maintaining a pragmatic balance between innovation and delivery.

You will be part of a friendly and collaborative broader team responsible for post-trade and reporting software development. The role involves working primarily in the Client Operations space but also directly with business functions across the firm to understand requirements, design and implement solutions. As well as project work, there are regular allocated windows of opportunity for small enhancements for both the business and technology.

Your responsibilities will include: 

•    Design, evolve and maintain distributed, event-driven systems with high reliability, scalability and observability
•    Contribute to technical strategy and long-term platform direction
•    Write high-quality, efficient and maintainable code with accompanying automated tests and documentation across UI, services and data storage layers
•    Continuously improve existing services, libraries and shared components
•    Ensure systems are operable, measurable and resilient, including appropriate monitoring, alerting and failure-handling strategies
•    Work closely with product and business stakeholders to translate high-level problems into thoughtful technical solutions
•    Collaborate with team through active contribution in code reviews, knowledge-sharing and design discussions
•    Build domain knowledge in business and technology areas
•    Evaluate new technologies pragmatically
•    Contribute to CI/CD pipelines, tooling and infrastructure-as-code

What we are looking for:

•    A bachelor's or master's degree in a STEM subject
•    5+ years of full-time professional software development experience
•    Proven experience building and maintaining cloud-distributed, event-driven or microservices-based systems written in enterprise-grade backend technologies such as C#/.NET (preferred)
•    Strong computer science fundamentals
•    Excellent engineering discipline: clean code, meaningful abstractions, test automation, documentation and version control best practice
•    Natural curiosity and enthusiastic about using AI-assisted development tools and integrating them into daily workflow
•    Keen interest in keeping aware of latest technologies and a measured approach for adopting them
•    Comfortable problem solving across multiple technologies and business domains
•    Collaborative nature and ability to work in a team e.g. partnering with business users and technologists
•    Ability to have constructive technical discussions

What would be useful:

•    An interest or experience with Angular and Typescript
•    Familiarity with performance-tuning PostgreSQL and/or MSSQL
•    Experience in financial services

Technologies we use: 

•    Web: Angular, TypeScript
•    Server-side: C#
•    Data: MSSQL, PostgreSQL
•    Cloud: AWS
•    Deployment: Docker, Kubernetes

We are seeking a talented Full-Stack Developer with strong experience in modern web technologies, ideally with deep expertise in Angular or a similar front-end framework, and solid capability across backend technologies. The ideal candidate is enthusiastic, collaborative and delivery-focused, with a strong sense of ownership and ability to pick things up quickly in a fast-paced environment. They will bring both a user-centred mindset and the technical depth required to deliver robust end-to-end solutions for both internal and external audiences.

You will be part of a friendly and collaborative broader team responsible for post-trade and reporting software development. The role involves working closely with our Client Solutions team to understand requirements, design solutions and ensure exceptional user experience from both a UI and data quality perspective. In addition to project work, you will have regular opportunities to implement enhancements for both business and technology.

Your responsibilities will include: 

• Build, enhance and maintain high-quality, well-tested web applications using Angular and C#
• Contribute to UI architecture, component design, reusability and performance
• Ensure our UIs are intuitive, responsive and accessible across devices and browsers
• Design and implement backend services, APIs and data integrations
• Work across the full application lifecycle: requirements gathering, design, implementation, testing, release and support
• Build high-quality, well-tested code with automated test coverage
• Engage directly with business teams to understand requirements and translate them into thoughtful technical solutions
• Support production systems, investigate issues and implement fixes where required
• Collaborate through code reviews, design discussions, and knowledge sharing
• Build domain knowledge in both business and technology areas

What we are looking for: 

• A bachelor’s or master’s degree in a STEM subject
• 3+ years of full-time professional software development experience
• Strong experience with Angular (preferred), React or other structured modern front-end framework
• Comfortable with enterprise-grade backend technologies such as C#/.NET (preferred) or Java
• Good understanding of modern UI patterns, state management, component-driven development and web performance optimisation
• Solid understanding of application architecture, data modelling and integration patterns
• Strong problem-solving skills across multiple technologies and business domains
• Enthusiastic, collaborative and comfortable working closely with business stakeholders
• Strong communication skills with both technical and non-technical colleagues and a positive, can-do attitude
• Keen about using AI-assisted development tools and integrating them into daily workflow

What would be useful: 

• Experience in UX design principles and creating intuitive interfaces
•  Background in developing external and public facing websites with GDPR compliance
•  Familiarity with automated UI testing tools
• Experience managing bug triage and prioritisation based on user impact
• Basic knowledge of financial performance and risk metrics

Technologies we use: 

• Web: Angular, TypeScript
• Server-side: C#
• Data: MSSQL, PostgreSQL
• Cloud: AWS
• Deployment: Docker, Kubernetes

We are seeking an ambitious, enthusiastic, and highly motivated Cloud Engineer to join our technology team. This is an exciting opportunity to be a key player in the expansion of our cloud environment, contributing to the development of our execution systems, quantitative research platform, data ingestion pipelines, and post-trade applications. This hands-on role offers a unique chance to work with the latest cloud technologies and provides a high degree of autonomy and ownership in delivering impactful solutions to the business. If you are passionate about cloud technologies and eager to take on a challenging role with a high degree of autonomy and ownership, we would love to hear from you.

Our Technology

Operating in a cloud-first environment, we deploy containerised workloads to AWS through managed Kubernetes and scale on-demand to satisfy burstable workloads. Other managed services we use in AWS include EMR, RDS, MSK and bespoke EC2 solutions. All infrastructure is managed through Terraform, our source code is in GitHub and automation through GH actions.   

Your responsibilities will include:

• Design, implement, and manage scalable cloud infrastructure to support various business divisions.
• Collaborate with researchers and other stakeholders to understand their requirements and deliver tailored solutions, with a keen eye on cost efficiency
• Ensure the security, reliability, and performance of cloud-based systems.
• Automate deployment, monitoring, and maintenance processes to enhance operational efficiency.
• Stay up to date with the latest cloud technologies and best practices 

What we are looking for:

• 2+ years of experience in a similar role, with hands-on experience in AWS and Kubernetes.
• Strong belief in the ‘Infrastructure as code’ mind-set and a solid understanding of Terraform.
• Experience with CNCF technologies such as Argo CD, Kyverno and Prometheus.
• Proficient with Grafana to monitor and alert on critical systems
• Excellent problem-solving skills and the ability to work independently.
• Strong communication skills and the ability to collaborate effectively with cross-functional teams.                       

What Would Be Useful:

• AWS Certified Solutions Architect, CNCF certificate(s) or similar
• Knowledge of the Go Programming and understanding of Kubernetes operators
• Natural curiosity and enthusiastic about using AI-assisted development tools and integrating them into daily workflow
• Experience of automation through GitHub Actions or similar