automation engineer

Intercontinental Exchange

<div>Job Description:
<p><b>
Job Purpose</b></p><p>
As a vital member of the Technology Group, you will contribute significantly to the development and delivery of the ICE Digital Trade Platform (IDT) &mdash; a cloud-based system designed to digitize, automate, and streamline global trade and post-trade processes. This platform manages the full lifecycle of digital trade documents across various applications, including API services.</p><p></p><p><br>
In this role, you&rsquo;ll be responsible for ensuring the quality and reliability of the IDT platform through test automation, certification testing, client onboarding, production support, and effective communication with stakeholders.</p><p></p><p><br>
We&rsquo;re looking for a results-oriented, self-driven professional who thrives in a dynamic environment. You&rsquo;ll collaborate closely with project managers, developers, product teams, support staff, and external vendors.</p><p></p><p><br>
Demonstrates awareness of emerging AI-driven QA methodologies and proactively explores opportunities to integrate them into existing testing frameworks and workflows to enhance efficiency, coverage, and quality assurance outcomes.</p><p></p><p><b><br>
Responsibilities</b></p><ul><li>
Analyze business/system requirements and database schemas.</li><li>
Design, develop, and maintain automated test cases.</li><li>
Perform functional, integration, and regression testing (especially APIs).</li><li>
Write and execute SQL queries for data validation.</li><li>
Use CI/CD tools, version control (Git), and automation frameworks.</li><li>
Respond to client API queries and support onboarding.</li><li>
Log and track defects; coordinate client-side testing.</li><li>
Contribute to internal monitoring tools and scripting.</li><li>
Maintain awareness of environment changes and deploy applications.</li><li>
Collaborate with QA leads on complex testing strategies.</li><li>
Develop and deliver well written test plans and summaries</li><li>
Leverage AI coding assistants (e.g., Claude / Claude Code, GitHub Copilot) and agentic AI workflows to accelerate test authoring, maintenance, failure triage, and defect analysis, while reviewing AI-generated output for correctness and quality.</li></ul><p></p><p><b><br>
Knowledge and Experience</b></p><ul><li>
Bachelor&rsquo;s degree in computer science, Engineering, or related field.</li><li>
5+ years in QA, with experience in test planning and automation.</li><li>
Strong knowledge of REST/SOAP APIs, JSON, XML.</li><li>
Proficient in tools like JIRA, Postman, ReadyAPI, or JMeter.</li><li>
Experience with SDLC, QA methodologies, and scripting (Python, etc.).</li><li>
Excellent communication and organizational skills.</li><li>
Experience with Git, Jenkins, ALM, and test automation frameworks.</li><li>
Ability to work in highly demanding, fast-paced environment</li><li>
Self-motivated, able to work and excel autonomously on job responsibilities.</li><li>
Understands and evaluates AI/ML-based testing tools and frameworks, integrating them into CI/CD pipelines to optimize test automation and defect detection.</li><li>
Hands-on experience using AI coding assistants such as Claude (including Claude Code) and GitHub Copilot to generate, refactor, and maintain automated test code, with sound judgement on where AI assistance is and is not appropriate.</li><li>
Working knowledge of agentic AI concepts &mdash; autonomous, multi-step AI agents and prompt engineering &mdash; applied to QA tasks such as test generation, log and failure analysis, and exploratory testing.</li></ul><p></p><p><b><br>
Nice to Have</b></p><ul><li>
JavaScript and Cypress for front-end testing.</li><li>
Hands on experience designing and executing performance tests for APIs and GUIs to identify bottlenecks and ensure optimal response times</li><li>
Experience designing or orchestrating agentic AI / multi-agent workflows (e.g., Claude Code subagents) for test automation, self-healing tests, or document/PDF validation.</li></ul></div>

Senior QA Automation Engineer

Autodesk

<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>Job Requisition ID #</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>
26WD99665<p></p><div><div><p><b>
Position Overview</b></p><p><b>
Senior QA Automation Engineer &ndash; AI Applications</b><b> UK</b></p></div><p></p><div><p><br>
We are seeking an experienced QA Automation Engineer to ensure the quality, reliability, and performance of AI-powered applications. The ideal candidate has expertise in automated testing and software quality engineering, with experience building scalable testing frameworks and leveraging AI-powered testing tools to improve test development, maintenance, and coverage. They combine deep QA automation expertise with practical experience using AI to enhance testing workflows. Experience testing AI/ML applications or validating machine learning models is an asset.</p></div><p></p><div><p><b><br>
Responsibilities</b></p></div><div><ul><li><p>
Design and maintain automated test suites, evaluation scenarios, metrics, and test datasets for AI-powered features</p></li></ul></div><div><ul><li><p>
Automate QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins), leveraging AI-powered testing tools to improve test development, maintenance, and coverage</p></li></ul></div><div><ul><li><p>
Create and maintain test harnesses for AI services, applications, and APIs</p></li></ul></div><div><ul><li><p>
Perform API testing for AI services and backend systems</p></li></ul></div><div><ul><li><p>
Define quality strategy and acceptance criteria for AI-powered applications across functional, API, integration, and AI/ML features</p></li></ul></div><div><ul><li><p>
Test AI/ML applications and machine learning models from a product and user perspective</p></li></ul></div><div><ul><li><p>
Evaluate AI/ML model outputs for correctness, consistency, and expected application behavior</p></li></ul></div><div><ul><li><p>
Define structured rubrics that translate qualitative findings into measurable evaluation gates</p></li></ul></div><div><ul><li><p>
Build quality gates for CI/CD and deployment pipelines, including automated regression and integration testing</p></li></ul></div><div><ul><li><p>
Mentor teams on QA automation best practices and consistent quality standards for AI-powered applications</p></li></ul></div><div><ul><li><p>
Contribute to multi-team projects and codebases, ensuring code quality and consistency</p></li></ul></div><div><ul><li><p>
Participate in code reviews and provide constructive feedback to peers</p></li></ul></div><div><ul><li><p>
Document and present findings and ideas across the company</p></li></ul></div><p></p><div><p><b><br>
Minimum Qualifications</b></p></div></div><div><div><ul><li><p>
Bachelor&rsquo;s degree in Computer Science, Engineering, or equivalent experience</p></li></ul></div><div><ul><li><p>
5+ years of professional experience in software quality assurance, test automation, or software engineering</p></li></ul></div><div><ul><li><p>
Strong programming skills in Python, with experience in test automation</p></li></ul></div><div><ul><li><p>
Hands-on experience using AI-powered testing tools or AI coding assistants to improve test automation, productivity, and quality</p></li></ul></div><div><ul><li><p>
Experience with CI/CD tools and processes</p></li></ul></div><div><ul><li><p>
Familiarity with popular CAD environments and tooling</p></li></ul></div><div><ul><li><p>
Proficient in automation and UAT test suites/frameworks</p></li><li><p>
Experience designing QA frameworks or platforms used by multiple teams</p></li></ul></div><div><ul><li><p>
Excellent problem-solving skills and attention to detail</p></li></ul></div><div><ul><li><p>
Strong communication and collaboration skills</p></li></ul></div><div><ul><li><p>
Understanding of software architecture and design patterns</p></li></ul></div><div><ul><li><p>
Ability to work in an Agile development environment</p></li></ul></div><p></p><div><p><b>
Preferred Qualifications</b></p></div><div><ul><li><p>
Experience testing AI/ML applications or validating machine learning models</p></li></ul></div><div><ul><li><p>
Experience with data validation tooling (e.g., Great Expectations) or labeling workflows</p></li></ul></div><div><ul><li><p>
Familiarity with ML frameworks (e.g., PyTorch, TensorFlow)</p></li></ul></div><div><ul><li><p>
Experience with data pipelines and orchestration tools (e.g., Airflow, Metaflow)</p></li></ul></div><div><ul><li><p>
Knowledge of MLOps practices (e.g., model monitoring, drift detection, deployment validation)</p></li></ul></div><div><ul><li><p>
Knowledge of ML evaluation methods, metrics, and benchmarking</p></li></ul></div><div><ul><li><p>
Passion for learning new technologies and improving existing systems</p></li></ul></div></div><div><div><ul><li><p>
Experience with cloud providers (e.g., AWS, Azure, Google Cloud Platform)</p></li></ul></div><div><ul><li><p>
Experience testing AI/ML services in production environments</p></li></ul></div><div><ul><li><p>
Knowledge of experiment tracking tools (e.g., Comet, MLflow, Weights &amp; Biases)</p></li></ul></div><p></p><div><p><b>
The Ideal Candidate</b></p></div><div><ul><li><p>
You demonstrate initiative to provide solutions and to learn and develop new technologies</p></li></ul></div><div><ul><li><p>
Comfortable building QA systems from scratch and writing maintainable automation</p></li></ul></div><div><ul><li><p>
You enjoy learning and collaborating across global locations</p></li></ul></div><div><ul><li><p>
You are comfortable working in newly forming ambiguous areas</p></li></ul></div><div><ul><li><p>
You are comfortable building scalable and maintainable QA automation frameworks that will be relied on by others</p></li></ul></div><div><ul><li><p>
You effectively leverage AI-powered tools to improve testing workflows and engineering productivity</p></li></ul></div><div><ul><li><p>
You can communicate well with others</p></li></ul></div><p></p><div><p><br>
 #LI-JK3</p></div></div><p></p><p><b><br>
Learn More</b></p><p></p><p><b>
About Autodesk</b></p><p>
Welcome to Autodesk! Amazing things are created every day with our software &ndash; from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.</p><p></p><p>
We take great pride in our culture here at Autodesk &ndash; it&rsquo;s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.</p><p></p><p>
When you&rsquo;re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!</p><p></p><p><b>
Salary transparency</b></p>
Salary is one part of Autodesk&rsquo;s competitive compensation package. Offers are based on the candidate&rsquo;s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.<p><b><br>
Belonging</b><br>
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging</p><p></p><p><b>
Are you an existing contractor or consultant with Autodesk?
</b></p><p>Please search for open jobs and apply internally (not on this external site).</p></div>

Senior QA Automation Engineer – AI Applications UK

Houseful

<div><p><b><i>6 months Initial Contract - Must work from the UK</i></b></p><p>
Alto Software Group (ASG) is a leading B2B SaaS platform serving the UK property industry. We power thousands of estate agency branches and support a significant proportion of UK housing transactions each year.</p><p>
We are building a data-driven, operationally efficient platform business. AI will be a structural lever in improving internal productivity, reducing operational cost, and enhancing customer experience.</p><p>
This is a hands-on delivery role responsible for building the automations and AI integrations that embed AI into how we operate.</p>
The Role<p>
We are hiring a contract AI Engineer to build, deploy and maintain AI-enabled automations across our core systems stack. Working with the Principal Engineer and the Head of AI Operations, you will take prioritised automation opportunities from design through to production.</p><p>
You will deliver against an internal AI roadmap spanning Customer Operations, Marketing, Finance, Education and Training to:</p><ul><li>Automate high-volume, manual administrative workflows</li><li>Build AI-enabled workflows in Salesforce, Zendesk, HubSpot, Zuora and Thrive LMS</li><li>Turn the Mission Control data platform into an engine for event-triggered automation</li><li>Reduce operational overhead and improve reporting speed and accuracy</li></ul>
Core ResponsibilitiesAutomation Build &amp; Integration<ul><li>Build and maintain automation pipelines using n8n, Zapier/Make and direct LLM API integrations (OpenAI/Anthropic)</li><li>Develop API and webhook integrations across Salesforce, Zendesk, HubSpot, Zuora and Thrive LMS</li><li>Implement workflows such as ticket summarisation, tagging, routing and AI triage</li></ul>
AI Engineering<ul><li>Design and implement RAG pipelines and vector database integrations over internal knowledge</li><li>Develop, test and version prompts; evaluate and improve output quality</li><li>Build event-triggered automations and AI-enabled reporting on Mission Control</li></ul>
Quality, Security &amp; Handover<ul><li>Apply sound engineering standards: error handling, logging and monitoring of automations in production</li><li>Ensure GDPR-compliant, secure handling of customer and company data</li><li>Document solutions clearly and hand over to internal teams for ongoing operation</li></ul>
What Success Looks Like (First 6 Months)<ul><li>Priority automation workflows live, stable and monitored in production</li><li>Measurable reduction in manual effort in targeted workflows</li><li>Reliable integrations across the core systems stack</li><li>Clear documentation enabling internal teams to operate and extend what you build</li></ul>
Required ExperienceTechnical<ul><li>Proven delivery of LLM-based automation in production environments</li><li>Strong experience with automation platforms (n8n, Make or Zapier)</li><li>Proficiency in Python and SQL</li><li>Strong API and webhook integration capability</li><li>Experience working with OpenAI/Anthropic APIs and prompt engineering</li><li>Experience building RAG pipelines and working with vector databases</li><li>Experience automating CRM (Salesforce) and support (Zendesk) environments preferred</li></ul>
Delivery<ul><li>Experience operating in B2B SaaS or similar fast-moving environments</li><li>Track record of delivering as a contractor: scoping, building and handing over cleanly</li><li>Comfortable working with non-technical stakeholders to refine requirements</li></ul>
Personal Attributes<ul><li>Delivery-focused and pragmatic</li><li>High agency and accountability</li><li>Structured, with strong attention to reliability and security</li><li>Comfortable working in ambiguity</li><li>Clear communicator with technical and non-technical audiences</li></ul>
Why This Role Matters<p>
AI will be a structural margin lever for ASG. The automations you build will directly reduce operational cost, increase capacity without incremental headcount, and embed AI as core operational infrastructure rather than experimentation.</p></div>

AI Engineer (Contract)

Lorien

<div>
 <p>
  AI Solutions Engineer / Applied AI Engineer
 </p>
 <p>
  Location: London (Hybrid) 3 days onsite
 </p>
 <p>
  Perm
 </p>
 <p>
  Cheapside, London EC2V 6EE
 </p>
 <p>
  <br/>
 </p>
 <p>
  Criteria:
 </p>
 <p>
  &bull; AI-Native Engineering Practice
 </p>
 <p>
  &bull; Software Engineering Experience
 </p>
 <p>
  &bull; Databricks and Python Proficiency
 </p>
 <p>
  &bull; Functional Empathy and Stakeholder Engagement
 </p>
 <p>
  &bull; Solution Ownership and Quality
 </p>
 <p>
  <br/>
 </p>
 <p>
  We&rsquo;re looking for engineers who are not only deeply technical in AI but also excellent communicators and stakeholder partners.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Some engineers love technology for technology&rsquo;s sake. This role is different. At HeadFirst x Impellam, we&rsquo;re looking for someone who enjoys figuring things out, understands how organizations work, and gets a kick out of building solutions that genuinely improve the day-to-day reality of teams across the business.
 </p>
 <p>
  <br/>
 </p>
 <p>
  As an Applied AI Engineer, you work directly with departments such as Finance, HR, Sales, and Marketing to streamline processes, eliminate friction, and help people work smarter through AI, automation, and lightweight internal applications. You aren&rsquo;t expected to be an expert in every framework, platform, or tool from day one. What matters more is how you think, how quickly you learn, and how effectively you turn ambiguity into practical results.
 </p>
 <p>
  This is a high-profile role that makes a real difference to the business. You&rsquo;ll spend just as much time understanding workflows, challenging assumptions, and shaping solutions as you do building them. The people who thrive here are curious, pragmatic, and comfortable working closely with stakeholders rather than hiding behind tickets or isolated engineering backlogs.
 </p>
 <p>
  Your impact
 </p>
 <p>
  <br/>
 </p>
 <p>
  As an Applied AI Engineer, you&rsquo;ll serve as a consultant, a builder, and a problem solver all in one. You&rsquo;ll work closely with business teams to understand how work actually gets done. Sometimes the challenge is operational inefficiency. Sometimes it&rsquo;s fragmented tools, repetitive manual work, or slow decision-making caused by disconnected systems and unclear information flows.
 </p>
 <p>
  Your role is to identify where AI, automation, or lightweight applications can deliver immediate value, and then help bring that value to life quickly and pragmatically. Rather than spending months designing perfect systems, you focus on delivering usable solutions quickly, gathering feedback early, and improving continuously. This could involve building an internal workflow tool, creating an AI-powered assistant for operational teams, or streamlining reporting and approvals through automation.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You work within a modern Databricks and AI-enabled ecosystem, but technology is never the end goal. The real objective is to help teams operate more effectively, make better decisions, and eliminate operational bottlenecks. AI plays a central role in how you work. AI coding assistants and agent-based workflows help accelerate development and experimentation, allowing you to move quickly while still maintaining control over quality, usability, and adoption.
 </p>
 <p>
  At the same time, you work closely with the Platform, Data, and Engineering teams to ensure that the solutions you deliver fit within a scalable and secure organizational environment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  What you will do
 </p>
 <p>
  &bull; Work closely with business stakeholders to understand operational challenges, workflows, and inefficiencies;
 </p>
 <p>
  &bull; Translate ideas and business needs into practical tools, automations, and AI-powered solutions;
 </p>
 <p>
  &bull; Build lightweight internal applications that boost productivity and simplify daily work;
 </p>
 <p>
  &bull; Use AI coding assistants and AI-native workflows to speed up delivery and experimentation;
 </p>
 <p>
  &bull; Continuously refine solutions based on real user feedback and adoption;
 </p>
 <p>
  &bull; Support teams in improving processes rather than simply digitizing existing inefficiencies;
 </p>
 <p>
  &bull; Collaborate with Finance, HR, Commercial, and leadership teams on business-critical initiatives;
 </p>
 <p>
  &bull; Balance speed and quality by making pragmatic engineering decisions that maintain momentum;
 </p>
 <p>
  &bull; Introduce smarter workflows through automation, AI agents, and integrated internal tools;
 </p>
 <p>
  &bull; Help shape how AI is adopted responsibly and practically throughout the organization;
 </p>
 <p>
  &bull; Share ideas, best practices, and suggestions for improvement that help teams move faster and work more effectively.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Who you are
 </p>
 <p>
  You&rsquo;re someone who enjoys solving problems in complex, real-world environments. You likely combine technical curiosity with strong communication skills and a genuine interest in how businesses operate. You don&rsquo;t need perfect requirements or fully defined roadmaps to get started. Instead, you ask questions, explore possibilities, and move toward solutions quickly. You&rsquo;re energized by learning new things and comfortable adapting as technology evolves. AI doesn&rsquo;t intimidate you. You see it as a practical tool that helps you think faster, build faster, and create more impact.
 </p>
 <p>
  You enjoy collaborating and are comfortable working closely with non-technical stakeholders. You know how to explain ideas clearly, challenge assumptions constructively, and maintain momentum without overcomplicating things. Most importantly, you care about results. You enjoy delivering useful solutions, seeing people adopt them, and improving them over time based on what works in practice.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Why this role stands out
 </p>
 <p>
  This is not a traditional engineering role focused solely on technical implementation. You will work closely with decision-makers, influence how teams operate, and help shape the practical implementation of AI across an international organization. The role combines engineering, consulting, problem-solving, and business collaboration in a way that offers broad exposure and a tangible impact.
 </p>
 <p>
  If you enjoy fast-paced environments, practical innovation, and building solutions that people actually use, this role offers the opportunity to have a direct impact on how modern AI capabilities create value within a global business.
 </p>
</div>


AI Solutions Engineer / Applied AI Engineer

Persistent Systems

<div><div><div><p><b>Job Description
</b></p></div><div><div><div><p><b>
About Persistent:</b></p><br>
<p></p>
<p>We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what&rsquo;s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.</p>
<p>Our disruptor&rsquo;s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 21 sequential quarters of growth with $389.7M in Q1 FY26 revenue, up 3.9% Q-o-Q and 18.8% Y-o-Y growth. Our 25,000+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been named the fastest-growing Indian IT services brand in the &ldquo;Brand Finance India 100&rdquo; 2025 report. We were also cited as a Leader in the ISG Provider Lens&trade; 2025 for Digital Engineering Services 2025 and the Everest Group Talent Readiness for Next-generation Application Services PEAK Matrix&reg; Assessment 2025.</p>
<p><i>We are fast growing company (with $1 billion dollars in revenue). Plan to grow at Krakow, Poland. If you&rsquo;re interested in working on bleeding Data and AI technologies, join us.</i></p><br>
<p></p>
<p><b>About Position and details:</b></p><br>
<p></p>
<ul><li><b>Role: DevSecOps Platform Engineer</b></li>
<li><b>Location: Harbour Exchange Square, London</b></li>
<li><b>Mode: Hybrid</b></li>
<li><b>Experience: 5 to 15 years</b></li>
<li><b>Job Type: Permanent role</b></li></ul><br>
<p>
</p><p><b>Job Summary:-</b></p><br>
<p></p>
<p>We are seeking an experienced DevOps / DevSecOps Platform Engineer to manage, maintain, integrate, and automate enterprise DevOps platforms. The role involves administration of CI/CD tools, repository management systems, code quality, and security platforms, lower env Unix servers, and automation frameworks. The engineer will work closely with development, security, and infrastructure teams to ensure reliable, secure, and scalable DevOps services.</p>
<p>The ideal candidate will have strong Unix intermediate skills, experience with CI/CD ecosystems, automation scripting, platform upgrades, integrations, and DevSecOps best practices.</p><br>
<p></p>
<p><b>DevSecOps &amp; Security</b></p><br>
<p></p>
<ul><li>Implement DevSecOps best practices across platforms.</li>
<li>Manage authentication, authorization, and role-based access controls.</li>
<li>Secure APIs and service integrations.</li>
<li>Ensure compliance with enterprise security standards.</li>
<li>Support vulnerability management and security tool integrations.</li></ul><br>
<p>
</p><p><b>Documentation &amp; Governance</b></p><br>
<p></p>
<ul><li>Create and maintain:</li>
<li>High-Level Design (HLD)</li>
<li>Low-Level Design (LLD)</li>
<li>Operational Runbooks</li>
<li>Upgrade and Migration Guides</li>
<li>Standard Operating Procedures (SOPs)</li>
<li>Maintain platform inventory and architecture documentation.</li></ul><br>
<p>
</p><p><b>Required Technical Skills</b></p><br>
<p></p>
<ul><li>Jenkins Administration</li>
<li>CloubBees CI</li>
<li>Nexus Repository Manager</li>
<li>Atlassian Bitbucket, Bamboo</li>
<li>SonarQube</li>
<li>CDRO / CloudBees Release</li>
<li>Artifact management</li>
<li>Scripting &ndash; Python, Bash, Groovy, Rest API Automation</li>
<li>Security in DevOps &ndash; RBAS, LDAP/ AD Integration, SSO/SAML/OAuth, Secret management, Secure API practices</li></ul><br>
<p>
</p><p><b>Experience Required:</b></p><br>
<p></p>
<ul><li>5 to 8 Years of experience in DevOps / Platform Engineering</li>
<li>Minimum 3 + years administrating enterprise DevOps Tools</li>
<li>Support experience to CI/CD environments</li></ul><br>
<p>
</p><p><b>Benefits</b>:</p><br>
<p></p>
<ul><li>Competitive salary and benefits package</li>
<li>Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications.</li>
<li>Opportunity to work with cutting-edge technologies.</li>
<li>Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards</li>
<li>Annual health check-ups</li>
<li>Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents</li></ul><br>
<p>
</p><p><b>Let&rsquo;s unleash your full potential at Persistent - persistent.com/careers.</b></p>
<p><b><i>&ldquo;Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.&rdquo;</i></b></p>
</div></div></div></div><div></div><div><div><div><p><b>
1</b></p></div><div><div>
Open Positions
</div></div></div></div><div><div><div><p><b>Security,Firewall,Switching</b></p></div><div><div>
Skills Required
</div></div></div></div><div><div><div><p><b>London</b></p></div><div><div>
Location
</div></div></div></div><div><div><div><p><b>Security,Firewall,Switching,Other,OS,Systems,MOST,product</b></p></div><div><div>
Desirable Skills
</div></div></div></div><div><div><div><p><b>179053</b></p></div><div><div>
Job Code</div></div></div></div></div><p></p>

Architect - United Kingdom

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>
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   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

Resolution

<div><h1 class="jobSectionHeader"><b>About Resolution</b></h1><p>
Resolution does research on how to align artificial superintelligence (ASI). ASI may be developed in the next few years, but it is unclear whether alignment is on track to be ready in the same timeframe. We aim at higher <i>a priori</i> confidence in aligned outcomes by pursuing a portfolio of theory and empirics bets, any one of which &mdash; if it succeeds &mdash; would meaningfully advance the field. We invest heavily in research automation to accelerate progress, and we believe that stronger alignment theory unlocks higher automation: more principled approaches give us better filters for which directions of automated research are promising.</p><p>
Resolution was founded in 2026 by researchers from UK AISI's Alignment Team, who ran the &pound;30m Alignment Project, and Timaeus, who pioneered applying singular learning theory to alignment.</p><p>
For more information, see our announcement.</p><h1 class="jobSectionHeader"><b>
About the Team</b></h1><p>
We are hiring Research Engineers across several main focus areas. We expect the boundaries between these areas to be flexible, but please indicate which mode you're more interested in (or &quot;either&quot;) in your application.</p><p><b>
Research Automation (primary focus).</b> A cross-cutting function that builds the infrastructure and tooling our researchers use to scale their work, increasingly leveraging fleets of AI research assistants alongside small teams of humans.</p><p><b>
Program-embedded Research Engineering (also hiring).</b> Research engineers embedded within one of our research programs (scalable oversight, complexity theory, learning theory, personas, and possible future programs like heuristic arguments or game theory), partnering with researchers on scaling experiments, building program-specific infrastructure, and translating theoretical insights into empirical tools.</p><h2 class="jobSectionHeader"><b>
About the Role</b></h2><p>
Research Engineers at Resolution are core members of our research teams, directly driving both research and the core infrastructure behind it. We believe clean engineering on automation, experimentation, and infra is essential to ambitious research, and that excellence on this front requires active research participation.</p><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li><p><i>
(Research automation track)</i> Build agentic research infrastructure: experiment orchestration, hypothesis generation, automated analysis pipelines; autoformalization tooling for the theory side; internal AI-powered tools for researchers</p></li><li><p><i>
(Program-embedded track)</i> Scale program experiments to frontier-tier models; build program-specific infrastructure; partner with researchers on engineering and implementation.</p></li><li><p><i>
(Both)</i> Maintain and extend distributed training, experiment, and evaluation infrastructure</p></li><li><p><i>
(Both)</i> Contribute to and maintain shared codebases across the org</p></li><li><p><i>
(Both)</i> Communication of engineering &amp; automation progress, obstacles &amp; learnings to your team and the wider org via Slack and in weekly meetings.</p></li></ul><p>
We're on the lookout for excellence, so if you're a cracked engineer who doesn't precisely fit these descriptions, please still apply!</p><h2 class="jobSectionHeader"><b>
You May Be a Good Fit If You</b></h2><ul><li><p>
Have a strong software engineering background, including production-quality Python</p></li><li><p>
Have deep experience with ML frameworks (PyTorch or Jax) and distributed-training stacks</p></li><li><p>
Have a demonstrated ability to ship complex systems end-to-end</p></li><li><p>
Have a Bachelor's degree or equivalent in CS, physics, math, ML, or related</p></li><li><p>
Are willing to use AI tools aggressively in your own workflow, with appropriate care to not get fooled!</p></li><li><p>
Are motivated by alignment of artificial superintelligence (ASI) and want to contribute to it full-time.</p></li></ul><h2 class="jobSectionHeader"><b>
Strong Candidates May Also Have</b></h2><ul><li><p>
Experience with autoformalization, Lean, or other proof-assistant tooling</p></li><li><p>
Background in research infrastructure or ML platform engineering at frontier labs</p></li><li><p>
Experience scaling ML systems to 100B+ parameter scale</p></li><li><p>
Experience with CUDA kernel development or GPU optimization</p></li><li><p>
Familiarity with alignment research</p></li></ul><h1 class="jobSectionHeader"><b>
Application Process</b></h1><p><b>
Initial screener.</b> A 20-minute conversation with a senior researcher to discuss your research background, motivations, and interests.</p><p><b>
Work trial.</b> A 4-hour take-home assignment. We'll collect references in parallel. We'll compensate you for your time, subject to right-to-work constraints.</p><p><b>
Work trial review.</b> A 45-minute discussion of your work trial.</p><p><b>
Research talk.</b> A 30&ndash;40 minute interactive conversation about your previous research.</p><p><b>
Senior 1:1.</b> A 30-minute conversation with a member of our research leadership.</p><h1 class="jobSectionHeader"><b>
Logistics</b></h1><p><b>
Salary:</b> Your salary depends on the scope, autonomy, and impact we expect you to have while working at Resolution. The expected range of salaries for this role is:</p><ul><li><p>
L3 (SWE I): $141,000 remote; $236,000 in-person</p></li><li><p>
L4 (SWE II): $208,000 remote; $346,000 in-person</p></li><li><p>
L5 (Senior SWE): $270,000 remote; $451,000 in-person</p></li><li><p>
L6 (Staff SWE): $402,000 remote; $670,000 in-person</p></li><li><p>
L7 (Senior Staff SWE): $738,000 remote; $930,000 in-person</p></li></ul><p>
Strong early-career engineers will typically come in at L3. Someone with significant independent research engineering experience would likely start at L4 or L5.</p><p><b>
Location:</b> Berkeley, California. Remote may be considered in exceptional cases.</p><p><b>
Benefits:</b></p><ul><li><p>
5 weeks of paid vacation per year, in addition to public holidays.</p></li><li><p>
Comprehensive healthcare insurance (medical, dental, vision).</p></li><li><p>
Unlimited sick leave to prioritize your well-being.</p></li><li><p>
An unconditional 401(k) contribution equal to 4% of your salary.</p></li></ul><p><b>
Visa sponsorship:</b> We can sponsor visas for relocation to Berkeley.</p><p><b>
Minimum education:</b> A bachelor's degree in a field relevant to the role, or an equivalent combination of education, training, and/or professional experience that demonstrates comparable knowledge.</p><p><b>
Deadline:</b> Applications are rolling &mdash; please apply ASAP. We'll respond to applications within one week of receipt.</p><p><b>
Start date:</b> ASAP.</p><p>
Compensation Range: $141K - $930K</p></div>

Research Engineer

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