deployment engineer

LiveKit

<div><h2 class="jobSectionHeader"><b>About LiveKit</b></h2><p>
LiveKit is building the infrastructure layer for the agentic era of computing. Our platform gives developers everything they need to build, test, deploy, scale, and observe AI agents in production. Founded in 2021, LiveKit powers voice and agentic AI applications for OpenAI, Salesforce, Spotify, Meta, and tens of thousands of other developers, collectively facilitating billions of calls each year.</p><p></p><h2 class="jobSectionHeader"><b>
About This Role</b></h2><p>
LiveKit is seeking a Forward Deployed Engineer (FDE) to work directly with customers building real-time communication and voice AI applications on the LiveKit platform.</p><p>
This role sits at the intersection of engineering, architecture, and customer implementation. Forward Deployed Engineers partner closely with customers to design systems, prototype solutions, and solve complex technical challenges as teams move from experimentation to production.</p><p>
You'll work alongside customers' engineering teams to help them successfully deploy and scale applications built on LiveKit &mdash; designing architectures, building integrations, debugging production issues, and developing reference implementations that demonstrate best practices.</p><p>
This is an ideal role for engineers who enjoy solving real-world problems in real customer environments. You'll collaborate closely with Product and Engineering to surface insights from customer implementations and help shape the future of the LiveKit platform.</p><p>
Your mission: make it seamless for developers to build and scale real-time audio, video, and AI applications on LiveKit.</p><p></p><h2 class="jobSectionHeader"><b>
You'll Thrive Here If You:</b></h2><ul><li><p>
are obsessed with helping developers succeed</p></li><li><p>
are known as the go-to person for solving tricky technical issues</p></li><li><p>
work hard and can move fast without sacrificing quality</p></li><li><p>
care deeply about polish, detail, and clear communication</p></li><li><p>
are a fast learner, frequently picking up new tools, systems, and skills</p></li></ul><h2 class="jobSectionHeader"><b>
What You'll Do</b></h2><ul><li><p>
Work directly (remotely or on-site when necessary) with customer engineering teams to design and implement real-time applications built on LiveKit</p></li><li><p>
Design scalable architectures for voice AI, real-time media, and developer platform use cases</p></li><li><p>
Build prototype integrations, reference implementations, and sample applications to accelerate customer development</p></li><li><p>
Help customers navigate SDKs, APIs, infrastructure, and deployment strategies for production systems</p></li><li><p>
Debug and troubleshoot complex technical issues in production environments</p></li><li><p>
Lead technical workshops and architecture sessions with developers and product teams</p></li><li><p>
Translate customer needs into technical insights that inform product and platform development</p></li><li><p>
Partner with Product and Engineering to improve developer experience, documentation, and tooling</p></li><li><p>
Contribute code, examples, or improvements to LiveKit's open-source ecosystem when helpful</p></li><li><p>
Act as a trusted advisor helping customers successfully launch and scale applications on LiveKit</p></li></ul><h2 class="jobSectionHeader"><b>
Who You Are</b></h2><ul><li><p>
Strong engineering background with 5+ years of experience in backend or infrastructure engineering</p></li><li><p>
Proficient in one or more programming languages such as Go, Python, Node, Rust, or C++</p></li><li><p>
Comfortable working across APIs, SDKs, distributed systems, and cloud infrastructure</p></li><li><p>
Experience building or integrating developer platforms or real-time systems</p></li><li><p>
Able to quickly understand complex systems and debug issues in real-world environments</p></li><li><p>
Strong communicator who can collaborate directly with customer engineering teams and internal product teams</p></li><li><p>
Comfortable operating in fast-paced, low-process environments where ownership and initiative matter</p></li><li><p>
Excited to work hands-on with customers solving complex technical implementation challenges</p></li></ul><h2 class="jobSectionHeader"><b>
Nice to Have</b></h2><ul><li><p>
Experience with WebRTC, real-time media systems, or telephony/SIP infrastructure</p></li><li><p>
Familiarity with voice AI, conversational agents, or AI infrastructure</p></li><li><p>
Experience working in customer-facing engineering roles such as Solutions Engineer, Field Engineer, or Forward Deployed Engineer</p></li><li><p>
Experience contributing to open-source projects or developer ecosystems</p></li><li><p>
Previous experience building with or integrating LiveKit</p></li></ul><h2 class="jobSectionHeader"><b>
Our Commitment to You</b></h2><ul><li><p>
An opportunity to build something truly impactful to the world</p></li><li><p>
Contribute to open source alongside world-class engineers</p></li><li><p>
Competitive salary and equity package</p></li><li><p>
Health, dental, and vision benefits</p></li><li><p>
Flexible vacation policy</p></li></ul><p></p><p><i>
LiveKit is an equal opportunity employer and does not discriminate on the basis of any characteristic protected by applicable law. If you require a reasonable accommodation during the application or interview process, please contact recruiting@livekit.io.</i></p><p>
Compensation Range: &pound;126K - &pound;185K</p></div>

Forward Deployed Engineer

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.</li>
<li>2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.</li>
<li>1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li>
<li>Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).</li>
<li>Ability to communicate in French and German fluently to support client relationship management in this region.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master&rsquo;s degree or PhD in AI, Computer Science, or a related technical field.</li>
<li>Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google&rsquo;s Agent Development Kit (ADK)) and complex patterns like ReAct, self-reflection, and hierarchical delegation.</li>
<li>Knowledge of &quot;LLM-native&quot; metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.</li>
<li>Ability to implement secure agentic workflows incorporating MCP, tool-calling, and OAuth-based authentication.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
Google Cloud&rsquo;s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren&rsquo;t just building technology; you&rsquo;re shaping the frontier of enterprise and driving the evolution of advanced models. It's an exciting time to join Google Cloud&rsquo;s Go-To-Market team, leading the AI revolution for businesses worldwide. You&rsquo;ll excel by leveraging Google's brand credibility&mdash;a legacy built on inventing foundational technologies and proven at scale. We&rsquo;ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We&rsquo;re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era&mdash;the market is yours.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Serve as the lead developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.</li>
<li>Architect and code the &quot;connective tissue&quot; between Google&rsquo;s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.</li>
<li>Build high-performance evaluation (Eval) pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.</li>
<li>Identify repeatable field patterns and technical &quot;friction points&quot; in Google&rsquo;s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.</li>
<li>Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.</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>

Partner Forward Deployed Engineer III, Generative AI (French, German)

Copperleaf Technologies Inc.

<p></p><div><div><div><div><h2 class="jobSectionHeader"><b>Company Description</b></h2></div><div><p>
IFS is a billion-dollar revenue company with 6000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters&ndash;at the Moment of Service&trade;. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.</p><p>
At IFS, we&rsquo;re flexible, we&rsquo;re innovative, and we&rsquo;re focused not only on how we can engage with our customers but also on how we can make a real change and have a worldwide impact. We help solve some of society&rsquo;s greatest challenges, fostering a better future through our agility, collaboration, and trust.</p><p>
We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.</p><p>
By joining our team, you will have the opportunity to be part of a <b>global, diverse environment;</b> you will be joining a <b>winning team</b> with a <b>commitment to sustainability;</b> and a company where we get things done so that you can <b>make a positive impact</b> on the world.</p><p>
We&rsquo;re looking for innovative and original thinkers to work in an environment where you can <b>#MakeYourMoment</b> so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.</p><p>
If you want to change the status quo, we&rsquo;ll help you make your moment. Join Team Purple. Join IFS.</p></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>
Job Description</b></h2></div><div><p><b>
About the Role</b></p><p>
As a Forward Deployed AI Engineer, you&rsquo;ll work directly with enterprise customers to deliver custom, production-ready AI solutions that solve real-world problems. You&rsquo;ll lead the design and deployment of intelligent agents across customer workflows&mdash;owning everything from discovery and prototyping to configuration, testing, and launch.</p><p>
This is a fast-paced, hands-on role that combines engineering, customer collaboration, and applied AI. You will serve as a critical link between our product and the customer&rsquo;s needs&mdash;ensuring rapid value delivery and laying the foundation for long-term success.</p><p><b>
What You&rsquo;ll Do</b></p><ul><li>
Partner with enterprise customers to scope and implement AI Agent use cases across complex workflows</li><li>
 Integrate IFS Loops platform with customer systems</li><li>
Tune agent behavior and logic to deliver measurable outcomes (e.g., lower costs, increase in efficiency, fewer errors)</li><li>
Troubleshoot deployments and iterate quickly to ensure performance, accuracy, and user adoption</li><li>
Collaborate closely with Product, Engineering, and Customer Success to feed customer insights into the roadmap</li><li>
Document technical decisions and hand off stable deployments to customer engineering or support teams</li></ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>
Qualifications</b></h2></div><div><p><b>
What We&rsquo;re Looking For</b></p><ul><li>
2&ndash;5 years of experience in a software engineering, solutions engineering, or ML deployment role</li><li>
Proficiency in Python and working knowledge of AI/ML frameworks (e.g. OpenAI, Hugging Face, LangChain, Pinecone, Weaviate, etc.)</li><li>
Familiarity with building LLM applications, RAG systems, or conversational AI workflows</li><li>
Experience integrating with enterprise systems via APIs or middleware (e.g. Salesforce, ServiceNow, SAP, Oracle)</li><li>
Ability to translate business problems into technical solutions&mdash;and deliver them fast</li><li>
Strong interpersonal skills; you&rsquo;re just as comfortable on a whiteboard with a customer as you are in code</li><li>
Bias toward action, ownership, and continuous learning in dynamic environments</li></ul><p><b>
Nice to Have</b></p><ul><li>
Background in SaaS, customer experience, support operations, or manufacturing systems</li><li>
Experience deploying AI in mission-critical environments</li><li>
Prior work with enterprise AI platforms or multi-agent orchestration</li></ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>
Additional Information</b></h2></div><div><p><b>
What We&rsquo;re Offering</b></p><ul><li>
Salary Range: List $150,000 to $170,000 annually + bonus</li><li>
Flexible paid time off, including sick and holiday</li><li>
 Medical, dental, &amp; vision insurance</li><li>
 401K with Company contribution</li><li>
 Flexible spending accounts</li><li>
 Life insurance and disability benefits</li><li>
 Tuition assistance</li><li>
 Community involvement and volunteering events</li></ul><p></p><p><br>
M/F/Disabled/Vet VEVRAA Federal Contractor. We are a Drug-Free Workplace. Interested candidates should apply at: www.ifs.com/about/careers-at-ifs</p><p>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer</p></div></div></div><br>
<p></p>
<div><div><p>
By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply</p></div></div></div>

Forward Deployed AI Engineer: IFS Loops

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.<br>
</li>
<li>1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li>
<li>Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).</li>
<li>Ability to communicate in French and German fluently to support client relationship management in this region.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master&rsquo;s or PhD in AI, Computer Science, or a related technical field.</li>
<li>Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google&rsquo;s ADK) and complex patterns like ReAct, self-reflection, and hierarchical delegation.</li>
<li>Knowledge of &quot;LLM-native&quot; metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.</li>
<li>Ability to implement secure agentic workflows incorporating MCP, tool-calling, and OAuth-based authentication.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google Cloud&rsquo;s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren&rsquo;t just building technology; you&rsquo;re shaping the frontier of enterprise and driving the evolution of advanced models.
</p><p>Leading with the future, the AI go-to-market (GTM) team are trusted AI advisors, scaling across Google to deliver transformative customer experiences that shape the next generation of their business. Partnering to provide deep AI expertise, thought leadership, and industry best practices, we revolutionize customer outcomes.</p><div></div>
It's an exciting time to join Google Cloud&rsquo;s Go-To-Market team, leading the AI revolution for businesses worldwide. You&rsquo;ll excel by leveraging Google's brand credibility&mdash;a legacy built on inventing foundational technologies and proven at scale. We&rsquo;ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We&rsquo;re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era&mdash;the market is yours.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Serve as the lead developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.</li>
<li>Architect and code the &quot;connective tissue&quot; between Google&rsquo;s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.</li>
<li>Build high-performance evaluation (Eval) pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.<br>
</li>
<li>Identify repeatable field patterns and technical &quot;friction points&quot; in Google&rsquo;s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.</li>
<li>Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.</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>

Forward Deployed Engineer III, Generative AI (French, German)

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree in Engineering, Computer Science, a related field, or equivalent practical experience.<br>
</li>
<li>1 year of experience with software development in one or more programming languages (e.g., Python).</li>
<li>Experience in Machine Learning, Natural Language Processing (NLP), generative AI agents, and DevOps.</li>
<li>Ability to communicate in French and German fluently to support client relationship management in this region.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master&rsquo;s or PhD in AI, Computer Science, or a related technical field.<br>
</li>
<li>Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).<br>
</li>
<li>Knowledge of &quot;LLM-native&quot; metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.</li>
<li>Ability to implement secure agentic workflows incorporating MCP, tool-calling, and OAuth-based authentication.</li>
<li>Ability to communicate in French, Spanish, Italian or other European languages fluently to support client relationship management in this region.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
Google Cloud&rsquo;s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren&rsquo;t just building technology; you&rsquo;re shaping the frontier of enterprise and driving the evolution of advanced models.
<br>
<br>
As a GenAI Forward Deployed Engineer at Google Cloud, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer&rsquo;s environment. This role is designed for high-agency engineers with a founder&rsquo;s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white glove deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud&rsquo;s future product roadmap.It's an exciting time to join Google Cloud&rsquo;s Go-To-Market team, leading the AI revolution for businesses worldwide. You&rsquo;ll excel by leveraging Google's brand credibility&mdash;a legacy built on inventing foundational technologies and proven at scale. We&rsquo;ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We&rsquo;re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era&mdash;the market is yours.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Serve as the lead developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.</li>
<li>Architect and code the connective tissue between Google&rsquo;s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.</li>
<li>Build high-performance evaluation (Eval) pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.</li>
<li>Identify repeatable field patterns and technical friction points in Google&rsquo;s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.</li>
<li>Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.</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>

Forward Deployed Engineer II, GenAI (French, German)

THE CROWN ESTATE

<div><p>Advert Closes: Monday 13th July</p><p><b><i>
Are you an Azure Platform Engineer ready to build cloud foundations that shape a national portfolio?</i></b></p><p>
At The Crown Estate, we&rsquo;re not just managing land and property, we&rsquo;re shaping the future of some of the UK&rsquo;s most iconic places and strategic assets. From central London destinations to offshore wind, our work delivers long-term value for the nation.</p><p>
We&rsquo;re now looking for an experienced Azure Platform Engineer to play a pivotal role in modernising our cloud platform, embedding security, resilience, and automation at the core of everything we do.</p><p><b>
What you&rsquo;ll be doing</b></p><p>
As a key member of our Infrastructure &amp; Platform team, you&rsquo;ll design and deliver secure, scalable Azure solutions, driving excellence through DevSecOps and cloud best practices.</p><p><b>
You&rsquo;ll</b>:</p><ul><li><p>
Architect Azure solutions aligned to Zero Trust and Well-Architected Framework principles</p></li><li><p>
Design and support Azure integration patterns and services, enabling secure, reliable, and scalable connectivity across platform and data workloads</p></li><li><p>
Design and manage Azure environments across networking, storage, and compute</p></li><li><p>
Embed DevSecOps practices across design, build, and handover</p></li><li><p>
Implement security and governance using RBAC, PIM, Azure Policy, Defender for Cloud, and Sentinel</p></li><li><p>
Build and automate infrastructure using Bicep and/or Terraform</p></li><li><p>
Optimise platform services like API Management, Key Vault, Service Bus, and Event Grid</p></li><li><p>
Drive observability and proactive operations using Azure Monitor, Log Analytics, and App Insights</p></li><li><p>
Shape resilience strategies including autoscaling, high availability, and disaster recovery</p></li></ul><p><b>
What you&rsquo;ll bring</b></p><p>
We&rsquo;re looking for someone who combines deep technical expertise with a security-first mindset and a passion for modern cloud engineering.</p><p>
You&rsquo;ll have:</p><ul><li><p>
Excellent hands-on experience designing and delivering Azure-based solutions</p></li><li><p>
Expertise in cloud security, governance, and Zero Trust principles</p></li><li><p>
Experience with Azure networking and hybrid connectivity</p></li><li><p>
Proven capability in Infrastructure as Code and CI/CD (Bicep/Terraform, Azure DevOps)</p></li><li><p>
Knowledge of monitoring, logging, and operational excellence frameworks</p></li><li><p>
A collaborative approach, with the ability to clearly communicate technical decisions</p></li></ul><p><b>
Bonus points for:</b></p><ul><li><p>
FinOps or cost optimisation experience</p></li><li><p>
AKS or container orchestration knowledge</p></li><li><p>
Azure Solutions Architect Expert certification</p></li></ul><p><b>
Why The Crown Estate?</b></p><p>
This is more than just a platform role, it&rsquo;s an opportunity to:</p><ul><li><p>
Work on high-impact, nationally significant technology initiatives</p></li><li><p>
Influence the direction of a modern, secure cloud platform</p></li><li><p>
Be part of an organisation with a strong purpose, sustainability focus, and long-term vision</p></li><li><p>
Collaborate in a culture that values innovation, integrity, and continuous improvement</p></li></ul><p><b>
What success looks like</b></p><p>
You&rsquo;ll thrive here if you:</p><ul><li><p>
Champion security-first design and automation</p></li><li><p>
Care deeply about resilience, scalability, and operational excellence</p></li><li><p>
Enjoy solving complex problems with structured thinking</p></li><li><p>
Work collaboratively across teams in Agile and DevOps environment</p></li></ul><p><b>
Ready to build something that lasts?</b></p><p>
If you&rsquo;re passionate about Azure, driven by best practices, and motivated by meaningful impact, we&rsquo;d love to hear from you.</p><p><b>
Our Offering / benefits:</b></p><p>
As well as a competitive salary, pension and performance related bonus offering, we have a wealth of benefits available ranging from flexible working; market leading family policies and shopping discounts in the West End, to private healthcare; life and critical illness cover and 28 days holiday with the option to buy more. We value work life balance and your wellbeing highly, enabling you to be your best self to work.</p><p><b>
Disability Disclaimer:</b></p><p>
We are a proud disability confident employer and operate the offer of interview scheme <b>Disability Confident employer scheme - GOV.UK (www.gov.uk)</b>.</p><p>
We are happy to offer alternative application methods or formats and can be flexible on our process to enable you to have the best opportunity.</p><p>
If you have any questions about our recruitment process or would like to talk about adjustments, please contact us directly, or at careers@thecrownestate.co.uk</p><p>
Please note that if we receive a high volume of applications, we may close this advert early. We encourage you to apply as soon as possible.</p></div>

Azure Platform Engineer

HelloKindred

<div>
 <p>
  <strong>
   Who is HelloKindred?
  </strong>
 </p>
 <p>
  HelloKindred are specialists in staffing marketing, creative and technology roles, offering a range of talent solutions that can be delivered on-site, remotely or hybrid.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our vision is to make work accessible and people&rsquo;s lives better. We do this by disrupting traditional employment barriers &ndash; connecting ambitious talent to flexible opportunities with trusted brands.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Description
  </strong>
 </p>
 <p>
  <strong>
   Anticipated Contract End Date/Length:
  </strong>
  December 18, 2026
 </p>
 <p>
  <strong>
   Work Set Up:
  </strong>
  Hybrid (3 days per week in office)
 </p>
 <p>
  <strong>
   Clearance Required:
  </strong>
  BPSS Eligibility Required
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our client in the Information Technology and Services industry is looking for an Oracle OHI DevOps Engineer to support the delivery, automation, and continuous improvement of Oracle Health Insurance (OHI) platforms within a complex enterprise environment. This role will operate at the intersection of development, infrastructure, and operations, ensuring reliable, secure, and efficient deployments across multiple environments. The successful candidate will play a key role in managing release pipelines, maintaining version control processes, enabling seamless integration between Oracle-delivered assets and internal systems, and driving DevOps best practices to improve deployment efficiency and operational stability.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design, build, and maintain Azure DevOps pipelines to support automated deployment of Oracle OHI components across Development, Test, UAT, and Production environments.
  </li>
  <li>
   Ensure deployment pipelines are scalable, repeatable, secure, and aligned with CI/CD best practices.
  </li>
  <li>
   Manage Oracle OHI releases, patches, updates, and deployment activities in collaboration with Oracle delivery teams and internal stakeholders.
  </li>
  <li>
   Coordinate and execute deployments while minimizing operational disruption and downtime.
  </li>
  <li>
   Manage Oracle-delivered files through Git version control processes and Azure DevOps deployment pipelines.
  </li>
  <li>
   Maintain repository structures, branching strategies, release tagging standards, and source control governance.
  </li>
  <li>
   Implement and maintain automated deployment and release management processes.
  </li>
  <li>
   Apply Infrastructure as Code principles where appropriate to ensure consistent environment configurations.
  </li>
  <li>
   Manage environment-specific configurations, variables, and secrets securely.
  </li>
  <li>
   Identify opportunities to improve operational efficiency through automation and process optimization.
  </li>
  <li>
   Develop and maintain automation scripts to streamline build, deployment, and release activities.
  </li>
  <li>
   Monitor deployment pipelines and troubleshoot release, configuration, or integration issues.
  </li>
  <li>
   Support production releases and collaborate with support teams to resolve incidents and maintain service stability.
  </li>
  <li>
   Partner with architects, developers, testers, business stakeholders, and Oracle delivery teams to ensure successful release cycles.
  </li>
  <li>
   Maintain comprehensive documentation for deployment processes, configurations, governance requirements, and operational procedures.
  </li>
  <li>
   Ensure adherence to internal security standards, compliance requirements, and deployment governance frameworks.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Proven experience in a DevOps Engineer, Release Engineer, or similar role within enterprise environments.
  </li>
  <li>
   Strong hands-on experience with Azure DevOps, including Pipelines, Repos, Artifacts, and Release Management.
  </li>
  <li>
   Experience designing, implementing, and managing CI/CD pipelines.
  </li>
  <li>
   Strong knowledge of Git version control, branching strategies, merging practices, and release management.
  </li>
  <li>
   Familiarity with Oracle Health Insurance (OHI) or other Oracle enterprise applications.
  </li>
  <li>
   Experience with deployment automation and configuration management practices.
  </li>
  <li>
   Proficiency in scripting languages such as PowerShell, Bash, or similar technologies.
  </li>
  <li>
   Strong troubleshooting, analytical, and problem-solving skills.
  </li>
  <li>
   Experience working within healthcare, health insurance, or regulated enterprise environments is preferred.
  </li>
  <li>
   Familiarity with cloud platforms, preferably Microsoft Azure, is preferred.
  </li>
  <li>
   Knowledge of containerization technologies such as Docker or Kubernetes is preferred.
  </li>
  <li>
   Experience implementing Infrastructure as Code solutions such as Terraform or ARM templates is preferred.
  </li>
  <li>
   Understanding of DevOps security best practices and secure deployment methodologies.
  </li>
  <li>
   Demonstrated ability to work independently, manage priorities, and take ownership of deliverables.
  </li>
  <li>
   Excellent communication, collaboration, and stakeholder management skills.
  </li>
  <li>
   Strong attention to detail with a focus on quality, operational excellence, and continuous improvement.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Additional Information
  </strong>
 </p>
 <p>
  Please submit a CV/resume (mandatory) along with your application.
 </p>
 <p>
  All your information will be kept confidential according to EEO guidelines.
 </p>
 <p>
  Candidates must be legally authorized to live and work in the country where the position is based, without requiring employer sponsorship.
 </p>
 <p>
  <br/>
 </p>
 <p>
  HelloKindred is committed to fair, transparent, and inclusive hiring practices. We assess candidates based on skills, experience, and role-related requirements.
 </p>
 <p>
  We appreciate your interest in this opportunity. While we review every application carefully, only candidates selected for an interview will be contacted.
 </p>
 <p>
  <br/>
 </p>
 <p>
  HelloKindred is an equal opportunity employer. We welcome applicants of all backgrounds and do not discriminate on the basis of race, colour, religion, sex, gender identity or expression, sexual orientation, age, national origin, disability, veteran status, or any other protected characteristic under applicable law.
 </p>
</div>


Oracle OHI DevOps Engineer

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