software engineer

ai engineer

platform engineer

analytics engineer

infrastructure engineer

customer engineer

Google

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Manchester, UK.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>10 years of experience with cloud native architecture in a customer-facing or support role.</li>
<li>Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms.</li>
<li>Experience engaging with, or presenting to, technical stakeholders or executive leaders.</li>
<li>Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Experience selling technical solutions in one or more of the following: Infrastructure Modernization, Application Modernization, Data Management, Data Analytics, Cloud AI, Networking, Migrations, Security.</li>
<li>Experience driving the entire business cycle (e.g., defining the delivery and consumption plan and transitioning it for execution).</li>
<li>Experience building long-term technical strategies to uncover new workloads with customers.</li>
<li>Experience migrating applications and services to cloud platforms.</li>
<li>Experience with security concepts (e.g., encryption, identity management, access control, attack vectors, pen testing).</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

As a Customer Engineer (CE), you will partner with technical sales teams to differentiate Google Cloud to our customers. You will serve as the customer&rsquo;s primary technical partner and trusted advisor, engaging in technical-led conversations to understand their business issues. You will troubleshoot technical questions and roadblocks, engage in proofs of concepts and demos, and use your expertise to architect cross-pillar cloud solutions that solve these business issues. You will drive the technical win and define the delivery and consumption plans. You will use your acumen and presentation skills to engage with technical and business leaders, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills. 
 
You will focus on identifying, pursuing, and winning new business workloads and driving penetration within existing ones. You will have a breadth of technical expertise, spanning infrastructure modernization, application modernization, data analytics and more. You will blend sales expertise, market knowledge and direct technical engagement to prove the value of the Google Cloud portfolio.
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Develop and own the technical account plan and strategy, participating in planning and supporting goal sales motions.</li>
<li>Combine sales, programming, and solutions architecture expertise to prove the value of Google Cloud Platform across the portfolio through complex demos, pilots and in-depth workshops.</li>
<li>Architect cross-pillar solutions, drive technical wins, and define initial delivery plans for customers. Continue to lead the technical engagement in the solution phase.</li>
<li>Facilitate the post-sales transition by supporting pricing activities and transitioning the final delivery plan to implementation teams.</li>
<li>Maintain awareness of progress against the delivery plan, providing support to cross-functional teams during ramp, delivery, migration or implementation phases.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Customer Engineer, Platform, FSI, Google Cloud

Gridsight

<div><div><div>Electricity grids are undergoing the most significant transformation in a century. The shift to renewables, the proliferation of rooftop solar, batteries and EVs, and the increasing complexity of distribution networks are forcing utilities to operate their grids in fundamentally new ways. Gridsight's vertical SaaS platform uses data, ML and AI to help grid operators modernise their operations and unlock transformational new capabilities. We deliver visibility into the grid edge, faster renewable connections, and real-time orchestration of distributed energy. The energy transition is a problem that will define this generation and we're at the heart of it. The opportunity is enormous ($1B+ ARR).</div><div></div><div> 
We're embedded with over 50% of Australia's distribution networks, more than 30% in New Zealand, and have 1 of the top 5 utilities in the US as our lighthouse. Airtree led our Series A, we just closed our Series B led by a major US fund, and we're on the path to build the first truly generational utility software company.</div><div></div> 
We are a lean team of builders across Australia, the US and the UK. What unites us is that we're curious, hungry and obsessed with maximising the impact we can deliver to Gridsight and the energy transition. If that sounds like you, come join us.<h2 class="jobSectionHeader">
Why now, in the UK and Europe</h2><div>
Gridsight was founded in Australia five years ago. We have product-market fit at home, we are the category leader there, and we have made real inroads in the US with multiple Top 20 utilities now working with us.</div><div></div> 
The UK and Europe are our newest market, and we are building here from a standing start.</div><div><h2 class="jobSectionHeader"> 
About the role</h2><div>
Pilots here are moving from proposal to deployment with network operators. This role sits between electrical engineering thinking and real customer problems: turning analysis into insight a DNO or DSO can see, trust and act on, and working out how our product and data land in a market that is new for our models.</div><div> 
In our established customer teams, this work runs alongside Power Engineers on live accounts. Here it is a founding seat, forward deployed with the customer, with scope to decide how delivery in this region should work. You will be close to customers, close to the sales conversations that open them, and close to the product decisions that shape what we build next.</div> 
You will not inherit a playbook. You will write the one the next three hires use.<h2 class="jobSectionHeader">
What you'll do</h2><ul><li>
Turn network data (AMI, network topology and other asset telemetry) into clear analysis and visualisations that help a DNO or DSO understand the real state of its grid.</li><li>
Stretch across the whole customer relationship: pre-sales, pilots, and full deployments.</li><li>
Take the technical solution designed with Power Engineers and execute it end to end with the customer. You own the delivery, not only the analysis.</li><li>
Wrangle messy, incomplete, real-world network data into something reliable, and be straight about data quality where it matters.</li><li>
Sit close to customers in pilots and early deployments: run working sessions, present findings, and translate between technical and non-technical audiences.</li><li>
Shape how our data model and platform fit UK and European network operators and their regulatory context, and feed the recurring patterns back to Product.</li><li>
Build the delivery playbook for the region as you go, so the next hires move faster than you did.</li></ul><h2 class="jobSectionHeader">
Who you are</h2><div>
Must-haves</div><ul><li>
Strong analytical and data craft. You&rsquo;ll have the data toolkit for real analysis, transformation and validation of messy datasets. Hands-on, not directing.</li><li>
A bias for the most direct path to value. You work out what matters and why before working out how, and you do the simple thing first. You can point to ambiguous problems you turned into delivered outcomes, not only researched ones.</li><li>
Commercial instincts. Comfortable in pre-sales conversations, prioritising by value to the customer and to us, and credible as much in front of a prospect as for a live customer.</li><li>
Excellent customer-facing communication. You can explain complex analytics plainly, facilitate a room, and hold credibility with senior stakeholders.</li><li>
Fast, demonstrable learning velocity in unfamiliar technical territory. Deep power systems expertise is not required. Building enough grid context quickly to find where the value is, and to design solutions rather than only execute them, is.</li><li>
A demonstrated reason to be in energy. We don't need years in the sector. We do need to believe you would choose this problem.</li><li>
AI-native working practices. You use AI and agentic tooling to move faster on analysis, prototyping, testing and documentation, and you hold a real method for checking correctness rather than trusting output.</li><li>
Comfortable as an early hire. No established process, nobody above you doing the delivery, and no manager in the room to escalate to.</li></ul><div>
Strongly preferred</div><ul><li>
Exposure to the energy sector, grid data, DER, digital twins, or energy-data infrastructure.</li><li>
Experience owning outcomes with external customers or clients.</li></ul><div>
Nice-to-haves</div><ul><li>
ML or data science depth.</li><li>
Experience with modern data tooling.</li><li>
Familiarity with UK or European energy regulation and the DNO/DSO context.</li></ul><h2 class="jobSectionHeader">
How we work</h2><div>
We deliver work we take pride in, shipped at pace. Everyone owns outcomes end to end. We take on interesting, high stakes problems but they don't come with instructions or a playbook. We seek the fastest path to value for the customer and take it.</div> 
If you want real problems, real pace and the opportunity to do your life's work, we want to meet you.<h2 class="jobSectionHeader">
What we offer</h2><ul><li>
Competitive salary. We hold high expectations, but pay accordingly.</li><li>
Meaningful ESOP so you share in the growth of Gridsight.</li><li>
Work-from-home allowance, health and wellness allowance, bi-annual in-person working weeks.</li><li>
A central London office and a flexible hybrid arrangement. We&rsquo;re hiring founding team members in the region, so we do want you in the room with customers and with each other.</li><li>
Trips to co-work with colleagues in Australia and the US.</li></ul></div></div>

Founding Customer Solutions Engineer

clickhouse

<div><div><h3 class="jobSectionHeader">About ClickHouse</h3>

Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 4,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.

The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.

We're on a mission to transform how companies use data. Come be a part of our journey!</div>
ClickHouse welcomed Langfuse, the leading open-source platform for tracing, evaluation, and observability, to strengthen its position in the AI infrastructure and LLM observability ecosystem. With ClickHouse and Langufuse scaling to power enterprise AI workloads, we're growing our support team to provide a world-class experience for our expanding customer base, with unified expertise across database infrastructure and AI observability.

We are seeking a Technical Customer Support Engineer to join our global Support Engineering team in a hybrid role spanning both ClickHouse and Langfuse ecosystems. In this position, you will support customers across EMEA and globally in the Americas and APJ when support is needed or coverage overlaps. You'll be handling technical issues and solutions, ranging from core ClickHouse database requests to helping thousands of AI product teams succeed with tracing &amp; evals in Langfuse. You will own a wide array of responsibilities, including front-line troubleshooting, community support, pre- and post-sales technical activities, and partnering on deeply technical POCs, and suggesting improvements to how we do things in Support at ClickHouse.

What You'll Be Doing
<ul>
<li>Supporting and guiding our ClickHouse &amp; Langfuse users, customers, and prospects via cases, chat, Slack, community, and phone calls, delivering high-touch guidance within required Service Level Agreements (SLAs) as part of a global on-call coverage rotation.</li>
<li>Develop solutions based on ClickHouse Cloud and ClickHouse open-source that can be shared with our users, community, and customers via documentation, knowledge base, blogs, meetups, webinars, and training.</li>
<li>Work closely with our global Support Services, Engineering, Go-to-Market, and Product Management teams to help define the functionality required by users and customers.</li>
<li>Assist with mentoring, training, and sharing your knowledge with colleagues, users, and customers.</li>
<li>Escalate bugs to product engineering and close the loop with the customer once shipped.</li>
<li>Go through deep technical integration/implementation questions together with our customers and directly within their codebases.</li>
<li>Build strong, trusted relationships with colleagues, customers, and partners across the developer ecosystem</li>
</ul>
What You Bring

For ClickHouse &amp; Core Infrastructure:
<ul>
<li>Databases &amp; OLAP Systems: Hands-on experience with databases, OLAP, or distributed systems (ClickHouse, SQL engines, or cloud-native SaaS infrastructure).</li>
<li>Systems Fundamentals: Strong software engineering fundamentals (CS, Data Science degree, or comparable hands-on project experience) with comfort reading code, working with data pipelines (e.g., Kafka, Spark), or debugging cloud infrastructure (AWS/GCP/Azure).</li>
<li>Distributed &amp; Operational Rigor: Comfort working in a global, remote-first team aligned to SLA coverage, on-call needs, and async communication.</li>
</ul>
For Langfuse &amp; AI Observability:
<ul>
<li>LLM Tooling &amp; Application Dev: Genuine curiosity for LLM application development with hands-on experience building, debugging, or evaluating LLM-powered products using frameworks like Python, TypeScript, LangChain, LlamaIndex, or Vercel AI SDK.</li>
<li>Tracing, Evals &amp; Developer Tooling: Familiarity with LLM observability/eval tooling, prompt workflows, model provider APIs (OpenAI, Anthropic), or OpenTelemetry-style tracing to unblock AI-product teams.</li>
<li>Technical Support &amp; Communication: Strong written communication across registers. You have concise Slack troubleshooting, clear long-form docs/guides, and a customer-first mindset to unblock engineers.</li>
</ul>
Bonus Points
<ul>
<li>Experience with OSS and open-source technologies, as a user, community member, or contributor</li>
<li>Experience with ClickHouse</li>
<li>Experience with Langfuse specifically, or with LLM observability/eval tooling more broadly.</li>
<li>Experience with AWS, GCP, or Azure.</li>
<li>Experience with data pipeline technologies such as Kafka, Kinesis, Spark, or RabbitMQ.</li>
</ul><div><h3 class="jobSectionHeader">Compensation</h3>

For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed.

These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments.

An individual's placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization.

If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com.
<h3 class="jobSectionHeader">
Perks</h3>
<ul><li>Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries.</li>
<li>Healthcare - Employer contributions towards your healthcare.</li>
<li>Equity in the company - Every new team member who joins our company receives stock options.</li>
<li>Time off - Flexible time off in the US, generous entitlement in other countries.</li>
<li>A $500 Home office setup if you're a remote employee.</li>
<li>Global Gatherings &ndash; We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.</li>
</ul>
Culture - We All Shape It

As part of a rapidly scaling start up, you will be instrumental in shaping our culture.

Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what's happening at ClickHouse.

Equal Opportunity &amp; Privacy

ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Please see here for our Privacy Statement.</div></div>

Technical Customer Support Engineer, AI Infrastructure & Observability - EMEA

OpenAI

<div>
 
 About The Team
 
 
 
 OpenAI&rsquo;s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works.
 
 
 Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere.
 
 
 
 About The Role
 
 
 
 As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale.
 
 
 You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact&mdash;not simply activity or successful demonstrations.
 
 
 This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI&rsquo;s products evolve.
 
 
 
 This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees
 
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria.
 </li>
 <li>
 Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes.
 </li>
 <li>
 Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators.
 </li>
 <li>
 Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance.
 </li>
 <li>
 Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution.
 </li>
 <li>
 Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact.
 </li>
 <li>
 Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback.
 </li>
 <li>
 Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments.
 
 
 </li>
 </ul>
 
 You&rsquo;ll Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Have a demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting.
 </li>
 <li>
 Can point to substantial personal contributions in code, architecture, evaluation, debugging, or production engineering&mdash;not only program or stakeholder management.
 </li>
 <li>
 Are highly proficient in Python and comfortable working across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable.
 </li>
 <li>
 Understand how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment.
 </li>
 <li>
 Have navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost.
 </li>
 <li>
 Can connect technical decisions to customer workflows, adoption, and measurable business outcomes.
 </li>
 <li>
 Communicate with clarity and credibility across hands-on engineers, technical leaders, security teams, product leaders, and executives.
 </li>
 <li>
 Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous environments.
 </li>
 <li>
 Learn quickly, challenge assumptions constructively, and collaborate with humility; experience in a particular industry or with OpenAI products is not required.
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
 
</div>

Applied AI Engineer

Arrows

<div>
 
 
 Forward Deployed Engineer | Applied AI Systems
 
 
 
 
 
 
 I am partnering with a early-stage aviation AI business building
 
 deeply integrated, real-world systems
 
 . Their platform is bespoke, embedding directly into customer environments to
 
 solve real workflow challenges
 
 through AI and data-driven solutions.
 
 
 
 
 
 Backed by
 
 Y-Combinator
 
 and already working with some of the
 
 world's largest brands in their sector
 
 , the company is now scaling its
 
 Forward Deployed Engineer
 
 team to work closely with customers, owning end-to-end delivery of high-impact systems in production.
 
 
 
 
 
 
 Responsibility:
 
 
 
 &bull; Working
 
 directly with customers
 
 
 
 &bull;
 
 Leading integrations
 
 and onboarding across complex technical environments
 
 
 &bull; Rapidly prototyping and
 
 deploying solutions
 
 in live production settings
 
 
 &bull; Translating real-world problems into
 
 scalable AI and engineering solutions
 
 
 
 
 
 
 
 Experience:
 
 
 
 &bull; Strong engineering fundamentals with
 
 hands-on experience building
 
 production systems
 
 
 &bull; Background in AI, data, systems, or product engineering
 
 
 &bull; Comfortable operating in
 
 fast-paced
 
 environments
 
 
 &bull; Experience in
 
 customer-facing
 
 or highly applied engineering roles
 
 
 &bull; Strong programming skills (Python, TypeScript preferred)
 
 
 
 
 
 
 Key responsibilities:
 
 
 
 &bull; Own delivery of customer deployments
 
 
 &bull; Build and iterate on
 
 bespoke integrations
 
 
 
 &bull; Work on-site with users
 
 
 &bull; Collaborate across
 
 engineering and product
 
 to deliver high-impact solutions
 
 
 &bull; Operate with
 
 high ownership in a fast-moving
 
 , early-stage environment
 
 
 
 
 
 
 On offer:
 
 
 
 &bull; High-ownership role within a small, high-calibre team
 
 
 &bull; Opportunity to work directly with customers and build in real-world environments
 
 
 &bull; Significant travel across global customer sites (US &amp; Europe)
 
 
 &bull; Salary up to &pound;140,000 plus substantial equity options
 
 
 &bull; Fast-paced, high-impact environment with direct exposure to leadership
 
 
 
 
 
 If this aligns with your background or interests, feel free to get in touch directly.
 
</div>

Software Engineer

Just Eat Takeaway.com

<div><h2 class="jobSectionHeader">Ready for a challenge?</h2> 
Then Just Eat Takeaway.com might be the place for you. We&rsquo;re a leading global online delivery platform, and our vision is to empower everyday convenience.
Whether it&rsquo;s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.<h2 class="jobSectionHeader"> 
About this role</h2>
JET's Information Security organisation protects a technology-led, cloud-native platform serving millions of customers across multiple markets. JET's building security into the foundations of how we design, engineer, and operate our cloud-native platforms at scale, across our technology organisation.
JET's Security Engineering team builds the tools, guardrails and controls that let every engineer at JET ship secure code, over 100 times a day. As a Senior Security Engineer, you'll design, build and run the security solutions our 1st and 2nd line InfoSec teams and wider engineering community rely on daily, from vulnerability scanning and access monitoring to AI security guardrails. You'll work hands-on within JET's global Security Engineering team, turning security policy into code and every engineer into a security-conscious one.<h2 class="jobSectionHeader">
These are some of the key components to the position:</h2><ul><li>
Design, build and deploy security controls and guardrails across JET's cloud-native platforms, including AI security solutions protecting customer-facing products.</li><li>
Run password audits, network and web application vulnerability scans, and intrusion detection to identify and close gaps before they're exploited.</li><li>
Automate security processes as code, embedding compliance and IaC checks into CI/CD pipelines shipping over 100 times daily.</li><li>
Conduct risk audits and assessments, translating findings into practical recommendations for engineering teams.</li><li>
Monitor and analyse system access logs, flagging anomalies and supporting incident response.</li><li>
Plan and test security backup and disaster recovery processes to keep JET's platforms resilient.</li><li>
Partner with 1st and 2nd line InfoSec teams as customers of your solutions, translating technical work for product and engineering audiences.</li></ul><h2 class="jobSectionHeader">
What will you bring to the team?</h2><ul><li>
Practical experience writing and deploying applications or tooling into cloud-native environments (AWS, Azure or GCP).</li><li>
Strong, demonstrable skills deploying AI security solutions, guardrails, and defences for AI systems used by customers.</li><li>
Proficiency in at least one of C#, Python, Java, PowerShell or Bash, with a track record of automating security processes.</li><li>
Working knowledge of Infrastructure as Code and Compliance as Code practices.</li><li>
Comfort operating in Agile, DevOps-driven teams with frequent, continuous delivery.</li><li>
Confident stakeholder management, translating security risk and technical decisions into language product and engineering teams act on.</li><li>
A collaborative, evangelist mindset, building trust so others choose secure defaults rather than having security imposed on them.</li></ul><h2 class="jobSectionHeader">
At JET, this is how we play</h2> 
Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. 
Being the best at what we do isn&rsquo;t just about delivering on our strategy. It's a competition for something incredibly valuable &ndash; our customers' choice. Every time a customer decides where to order, they're picking a side.
At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers&rsquo; loyalty, again and again.
Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we&rsquo;re building a customer-first culture which enables us to stay one step ahead of the competition.<h2 class="jobSectionHeader">
Inclusion, Diversity &amp; Belonging</h2> 
No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We&rsquo;re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.<h2 class="jobSectionHeader">
What else are we delivering?</h2> 
Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET journeys.<h2 class="jobSectionHeader"> 
Are you ready to join the team? Apply now!</h2></div>

Senior Security Engineer

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Sales
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. 
D360 FORWARD DEPLOYED ENGINEER
<h1 class="jobSectionHeader">About Salesforce
</h1>Salesforce brings customer data, CRM, analytics, and AI together on a trusted platform. Our teams help organizations turn complex business and data requirements into secure, scalable solutions. In this role, you will help customers put Data 360 into production and build the technical foundation for reliable, enterprise-grade use cases.
<h1 class="jobSectionHeader">About the Role
</h1>Production implementation experience required. Builder mindset non-negotiable.
Salesforce is hiring Forward Deployed Engineers focused on Data 360, Salesforce&rsquo;s real-time data engine that unifies data from any source. As a Forward Deployed Engineer, you will be a hands-on Technical Builder who configures, builds, tests, and deploys Data 360 directly inside enterprise customer environments. You will turn approved solution designs and acceptance criteria into working implementations across ingestion, harmonization, identity, insights, activation, retrieval, security, and operational readiness.
Data 360 is also the data foundation for Agentforce - and grounding agents in accurate, real-time enterprise data is deep data engineering. You'll go further into RAG, vector search, MCP, and agent-to-agent integration than most data roles ever touch, because the agents are only as good as the layer you build.
You'll work within a delivery team that includes architects, deployment strategists, Agentforce FDEs, account teams, and customer technical teams. Engagements may span a focused proof, production rollout, and stabilization. The common thread is real customer data, disciplined testing, and a supportable handoff.
This is a hands-on data and software engineering role . You will build in real enterprise customer environments - writing SQL, Python, and Apex; building ingestion pipelines; debugging identity resolution; and shipping working implementations from sandbox through production. If you're looking for a purely declarative configuration role or a pure advisory role, this isn't it.
<h1 class="jobSectionHeader">What You'll Do
</h1><ul><li>Build in customer environments. Configure and develop directly in customer sandboxes and production - using Data 360 configuration, SQL, Apex, Flow, Python, the REST Query API, the Interaction SDK, Salesforce DX, CLI, Git, Data Kits, and deployment tooling as required - following security, change-management, and release controls.
</li><li>Engineer the data layer. Build ingestion, harmonization, and identity resolution across batch and streaming sources. Materialize views of data optimized for specific application, analytical, and agentic workloads, tuning latency and cost tradeoffs to meet use-case requirements. Work with customer data and AI teams to ensure implementations align with their existing strategies (e.g., data mesh, data fabric).
</li><li>Prove it works. Create representative test data and validate expected outcomes across happy paths, edge cases, access boundaries, hierarchy behavior, failure conditions, and customer-scale volumes.
</li><li>Ground the agents. Design, build, and maintain the AI data integration layer - RAG (Retrieval-Augmented Generation), vector databases, search indexes, and knowledge bases - that grounds Agentforce solutions in accurate, real-time enterprise data.
</li><li>Orchestrate agent communication. Design and implement the protocols - including Model Context Protocol (MCP) and agent-to-agent communication - that govern, monitor, and ensure efficient collaboration among specialized AI agents.
</li><li>Connect the ecosystem. Implement robust, scalable, and secure data integration patterns that connect Agentforce to a wide range of enterprise applications and enable communication between AI agents.
</li><li>Govern the data. Apply deep data management expertise to ensure the secure integration, transformation, and governance of structured and unstructured data across the Salesforce ecosystem (CRM, Data Cloud) and external systems.
</li><li>Build for scale and security. Apply knowledge of message queues, event-driven architecture, and distributed systems to build resilient workflows and implement secure authentication and authorization protocols (OAuth, SAML) so that all agent actions are secure and comply with enterprise security policies.
</li><li>Debug the hard problems. Troubleshoot ingestion failures, mapping defects, schema drift, identity anomalies, query behavior, activation latency, API errors, permissions, and consumption issues - methodically, with logs and query evidence, isolating product behavior from configuration error.
</li><li>Own implementation decisions. Compare viable techniques within the approved architecture, document measured tradeoffs, and recommend the most maintainable implementation to the responsible architect or technical lead.
</li><li>Accelerate with AI. Use AI tooling - including Data 360 APIs and MCP Servers - to automate the build process and compress customers' time to value.
</li><li>Co-build and hand off. Work alongside customer technical teams and partners through pairing, code reviews, and configuration reviews. Package reusable metadata, scripts, queries, tests, and runbooks so the solution can be reproduced and supported. Support deployment, validation, production handoff, and early stabilization, leaving clear ownership and known limitations.
</li><li>Feed the roadmap. Surface reproducible platform gaps and edge cases - with live evidence, impact, and expected behavior - directly to Product and Support.
</li></ul>You're Our Data 360 Forward Deployed Engineer If...
<ul><li>You have 5+ years of experience in software engineering, data engineering, or technical implementation , including a production data solution you can explain in detail.
</li><li>You have a bachelor's degree in Computer Science or equivalent practical experience.
</li><li>You have hands-on experience implementing Salesforce Data 360 (Data Cloud) or a comparable enterprise data platform across ingestion, modeling, identity, insight, activation, and operations.
</li><li>You have hands-on experience building data pipelines and integrations using at least one enterprise data platform or technology, such as Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or an enterprise MDM platform.
</li><li>You are proficient in SQL and can build, debug, and optimize multi-table queries, joins, filters, transformations, and validation checks.
</li><li>You are fluent in at least one implementation language used in enterprise delivery - Apex, Java, Python, or JavaScript/TypeScript - and are willing to learn the others as needed.
</li><li>You understand data modeling, APIs, integration patterns, batch and streaming processing , and the practical differences between copied, federated, and Zero Copy data access.
</li><li>You've built retrieval systems for AI applications - vector databases, search indexes, embedding pipelines, or knowledge bases - and can explain the design decisions behind chunking, indexing, and relevance.
</li><li>You've implemented secure service-to-service integration patterns (OAuth, SAML, event-driven architectures) and are conversant in emerging agent protocols like MCP and agent-to-agent communication.
</li><li>You can implement secure data access and rigorously test it, including permissions, entitlements, consent, user context, restricted populations, and negative test cases .
</li><li>You diagnose technical problems methodically , use logs and query evidence, isolate product behavior from configuration errors, and document a reproducible result.
</li><li>You can implement against a documented architecture , explain what you built to customer technical teams, and recognize when a question requires an architect or security owner.
</li><li>You have delivered alongside customers, partners, professional services, or internal implementation teams in deadline-driven environments .
</li><li>You are excited to work directly with customer administrators, developers, data engineers, and architects.
</li><li>You have relevant certifications in Salesforce Agentforce, Data 360, and the Salesforce Platform. 
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</div>

Data360 FDE

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