software reliability engineer

Client Server

<div>
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  <strong>
   <u>
    Software Engineer / Developer (Python SQL) London to &pound;150k+
   </u>
  </strong>
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 <p>
  Are you a data savvy Software Engineer with strong Python coding skills?
 </p>
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  You could be joining a Hedge Fund with complex work and substantial bonus earning potential.
 </p>
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  <br/>
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 <p>
  As a Software Engineer you will join a growing team building a modern medallion architecture data platform, working across everything from data engineering and distributed systems to infrastructure and frontend. This is a hands-on role in a small, collaborative team where you'll have real ownership and impact.
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  <strong>
   Your role:
  </strong>
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 <ul>
  <li>
   Design and build data platform components using Python
  </li>
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   Develop and optimise ETL pipelines, Data Lakes/ Lakehouses and distributed systems
  </li>
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   Improve infrastructure, observability and CI/CD practices
  </li>
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   Maintain and evolve existing systems (microservices, ETL, Excel add-ins)
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   Support platform operations, ensuring reliability and performance
  </li>
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   Location / WFH:
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  You'll join colleagues in the impressive Central London office on a fulltime basis, Monday to Friday.
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 <p>
  <strong>
   About you:
  </strong>
 </p>
 <ul>
  <li>
   You have strong backend development experience with Python
  </li>
  <li>
   You have experience of working with financial or market data
  </li>
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   You have experience of designing and operating data-intensive and distributed systems
  </li>
  <li>
   You have a strong knowledge of databases (Relational, NoSQL and Columnar)
  </li>
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   You're keen to take ownership and work across the full development lifecycle
  </li>
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   You're collaborative and pragmatic with strong stakeholder management skills
  </li>
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   You have achieved a 2.1 or above in a STEM discipline, likely to have studied to MSc
  </li>
 </ul>
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  <br/>
 </p>
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  <strong>
   What's in it for you:
  </strong>
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  As a Software Engineer / Developer (Python SQL) you will receive a competitive package:
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   Salary to &pound;150k
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   Bonus
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   Pension
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   Self development and career progression opportunities
  </li>
 </ul>
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  <strong>
   Apply now
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  to find out more about this Software Engineer / Developer (Python SQL) opportunity.
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</div>


Software Engineer Python SQL - Market Data

Youtube

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Mountain View, CA, USA; London, UK</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.</li>
<li><div><div><div>8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).</div></div></div></li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Experience collaborating effectively across organizational boundaries, building relationships, and importing and exporting ideas to achieve broad organizational goals.</li>
<li>Experience leading technical strategy and influencing engineering direction across multiple teams.</li>
<li>Experience leading cross-organizational technical programs or initiatives at scale.</li>
<li>Experience with agentic systems and using AI to support production operations, including familiarity with LLM-based tooling, AI-driven automation, or intelligent incident response systems.</li>
<li>Ability to understand complex relationship between the organization and its environment, identify connections, adopt different perspectives and quickly respond to changing circumstances in a strategic way.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google's services&mdash;both our internally critical and our externally-visible systems&mdash;have reliability, uptime appropriate to users' needs and a fast rate of improvement. Additionally SRE&rsquo;s will keep an ever-watchful eye on our systems capacity and performance.</p><div>
Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the SRE team, you&rsquo;ll have the opportunity to manage the complex challenges of scale which are unique to Google, while using your expertise in coding, algorithms, complexity analysis and large-scale system design.</div><div></div><div><br>
SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.<br>
<br>
<b>To learn more:</b> check out our books on Site Reliability Engineering or read a career profile about why a Software Engineer chose to join SRE.</div>
<p>
In this role, you will develop, design, and drive technical engineering projects and decisions for Apps, Video and Display (AViD) infrastructure and production systems. You will mentor and lead other executive level engineers within AViD SRE and across Ads to achieve our aligned mission.</p><p></p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $262000 - $365000 (USD) + 25% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Ensure that Google Ads services within the AViD ecosystem have reliability and uptime appropriate to users' needs with a fast rate of improvement, while keeping an ever-watchful eye on capacity and performance.</li>
<li>Build creative engineering solutions to operations and infrastructure problems, including AI-powered automation and agentic workflows for production operations.</li>
<li>Lead and contribute to the cross-SRE AI Ops program, driving the strategic adoption of AI/ML tools to improve incident response, reduce toil, and enhance service reliability across Ads SRE.</li>
<li>Focus on optimizing existing systems, build infrastructure, and eliminate work through automation and AI-driven operational improvements.</li>
<li>Determine how our systems relate to each other and use a breadth of tools and approaches &mdash; including emerging AI capabilities &mdash; to solve a broad spectrum of problems.</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 Staff Site Reliability Engineer, AViD, YouTube Ads

Worldpay

<div><p><b>Ready to take your career global?</b></p><p>
Make your mark at one of the biggest names in payments.</p><p>
We are seeking an experienced <b>Senior ML Software Engineer</b> to join our Data Science Enablement team. You will be the primary software engineering expert for a product area, working as part of a cross-functional agile team and owning the successful launches and ongoing operations of high-profile products in production. Your focus will be on driving new feature delivery, maintaining operational excellence, and collaborating on enhancements to our shared ML platform. You will work closely with cross-functional collaborators&mdash;including ML research engineers, product managers, and platform engineers&mdash;to deliver scalable, reliable, and low-latency ML solutions.</p><p>
In addition to technical expertise, this job requires strong collaboration skills.</p><p></p><p><b>
What you&rsquo;ll own</b></p><p>
Feature Development &amp; Delivery:</p><ul><li>
Design, implement, and deploy new features and enhancements to ML products, collaborating with Product and ML Research teams to refine requirements.</li></ul><p>
Technical Ownership and Stewardship:</p><ul><li>
Technical ownership of existing and new production ML products in your area, ensuring alignment of technical investments with business goals (in collaboration with a product owner) and engineering best practices.</li><li>
End-to-end technical stewardship of ML products, ensuring ongoing reliability and performance.</li></ul><p>
Contribute to ML platform:</p><ul><li>
Contribute to the evolution of the shared ML platform alongside other engineers to drive best practices and shared tooling across all products.</li></ul><p>
Operational Excellence:</p><ul><li>
Maintain and improve automated CI/CD pipelines, testing frameworks, and monitoring/logging, ensuring high operational standards.</li><li>
Conduct comprehensive code reviews to enforce coding standards, improve code quality, and share knowledge.</li></ul><p>
Continuous Improvement:</p><ul><li>
Identify and implement opportunities for process, tooling, and system improvements, proactively addressing technical debt and scaling challenges.</li></ul><p>
Release Management:</p><ul><li>
Oversee pre-release testing, coordinate releases and ensure smooth enablement of new features.</li></ul><p>
Leadership:</p><ul><li>
Provide technical guidance and support to other engineers and data scientists to solve complex technical challenges.</li><li>
Mentor and coach other engineers, supporting their professional growth.</li><li>
Foster a culture of collaboration, continuous improvement, and knowledge sharing.</li></ul><p>
Act Like an Owner:</p><ul><li>
Proactively identify and resolve blockers, navigate processes, and independently seek out information and connect with relevant teams to drive solutions in the face of ambiguity.</li><li>
Operate with a strong sense of urgency, consistently prioritizing and executing tasks to meet timelines and deliver results.</li></ul><p></p><p><b>
What you&rsquo;ll bring</b></p><ul><li>
5+ years as an ML-focused software engineer, ML Engineer, MLOps Engineer, or similar, with hands-on production experience</li><li>
Proven expertise with ML model deployment, API design, and integration into production environments</li><li>
Strong Python programming and relevant ML/data libraries</li><li>
Experience with containerization, orchestration, and AWS cloud services</li><li>
Building and operating CI/CD pipelines</li><li>
Monitoring, troubleshooting, and optimizing production ML systems</li><li>
Pre-release testing and release management</li><li>
Demonstrated ability to work independently, navigate ambiguity, and deliver results</li><li>
Excellent communication skills and ability to collaborate both within engineering organizations and on cross-functional teams</li><li>
Experience with OpenAPI, FastAPI, or similar</li></ul><p></p><p><b>
It&rsquo;s a bonus if you have</b></p><ul><li>
Experience with MLFlow, model versioning, and storage</li><li>
Familiarity with Databricks or similar platforms</li><li>
Experience supporting high-volume, real-time data products</li><li>
Automated testing and validation frameworks</li><li>
Experience designing and configuring low-latency databases to serve real-time features, such as DynamoDB</li><li>
Experience with Terraform Cloud</li><li>
Experience in large companies, mature engineering teams, and/or highly regulated industries</li><li>
AI-assisted coding experience (e.g. GitHub Copilot)</li></ul><p></p><p><b>
Why Join Us?</b></p><ul><li>
Impact: Play a key role as the technical owner of high-profile ML products delivering meaningful business impact to merchants and advancing key pillars of the company&rsquo;s strategy. Your work will directly influence the reliability, scalability, and evolution of critical production systems.</li><li>
Autonomy: Take end-to-end technical ownership of your product area, with the freedom and responsibility to drive technical solutions, shape best practices, and deliver results in a fast-paced, supportive environment.</li><li>
Collaboration: Join a cross-functional, high-performing team where your expertise is valued and your contributions make a real difference.</li></ul><p></p><p><b>
About the team</b></p><p>
Our inclusive and global teams win together every day. We&rsquo;re proud to have the best minds in the industry, whom you can learn from as you grow your career. The people, the energy, and the connections are unmatched. Come and be part of an ever-evolving company and get dynamic opportunities that transcend borders.</p><p></p><p><b>
What makes a Globalpayer?</b></p><p>
Globalpayers think like a client, act like an owner, and win as one team. We&rsquo;re curious and innovative &ndash; always finding better ways to deliver impact. We empower each other to make decisions, and our passion drives excellence in everything we set out to do.</p><p></p><p>
Does this sound like you? Then you sound like a Globalpayer. Apply now to take your career global.</p><p></p><p>
#LI-AB1</p></div>

Senior ML Software Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<div>We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.</div><div>
<br>
As a Lead Software Engineer at JPMorganChase within the Commercial &amp; Investment Bank, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.</div><p>
</p><p>you will play a key role in designing, building, and optimizing cloud-native solutions using AWS, microservices architecture, and Kubernetes.</p><p>
Within the Trade Controls and Limits Management team of Markets Technology, you will help deliver a robust multi-asset risk and control management platform supporting low latency trading activities. You will leverage your AWS and cloud engineering skills to architect, maintain, and optimize applications and infrastructure, driving continuous improvement and innovation to ensure platform availability, reliability, and scalability.</p><div>
</div><p><b>Job Responsibilities</b></p><ul><li>
Design, develop, and deploy high-quality, maintainable, and well-tested software solutions on AWS</li><li>
Architect and implement microservices-based applications, leveraging Kubernetes for orchestration and scalability</li><li>
Collaborate with product and engineering teams to deliver reliable, scalable, and efficient software</li><li>
Participate in design reviews to strengthen architectural resilience, fault tolerance, and scalability</li><li>
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.</li><li>
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.</li><li>
Develop and maintain monitoring and alerting systems to ensure comprehensive visibility into system health and performance</li><li>
Troubleshoot and resolve complex technical issues to maintain system integrity and performance</li><li>
Champion best practices in software engineering, reliability, and resiliency, and mentor team members</li></ul><div>
</div><p><b>Required Qualifications, Capabilities, and Skills</b></p><ul><li>
Formal training or certification on software engineering concepts and 10+ years of applied experience, with a strong focus on AWS cloud development
</li><li>Hands-on experience building production-grade software in Java</li><li>
Experience with developing and deploying containers, CI/CD and DevOps practices
</li><li>Experience working with both relational and NoSQL databases</li><li>
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.</li><li>
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices</li><li>
Strong knowledge of distributed systems, microservices architecture, and reliability patterns</li><li>
Solid understanding of networking concepts and Unix/Linux environments</li><li>
Experience analyzing, troubleshooting, and supporting large-scale, cloud-native systems</li></ul><div>
</div><p><b>Preferred Qualifications, Capabilities, and Skills</b></p><ul><li>
Advanced knowledge of Java, object-oriented programming, and the JVM, especially in AWS environments</li><li>
Experience with infrastructure as code and modern monitoring/observability practices</li><li>
Experience working in the financial or fintech industry</li></ul>
<b>ABOUT US</b>
<br>
<br>
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.<br>
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.<br>
</div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

Lead Java Full-Stack AWS Software Engineer - Vice President

NatWest Group

<div><p>Closing date for applications: 03/07/2026</p>
<div>
<div><p>Location London, United Kingdom</p>
</div><div><p>Salary &pound;75,520 &ndash; &pound;113,280</p>
</div><div><p>Job typePermanent | Contract typeFull Time</p>
</div><div><div><p>Remote / On-site Hybrid</p>
<p></p><div><div><p>You&rsquo;ll spend some of your time at home, working with your team digitally. You&rsquo;ll also regularly work at your office or hub to collaborate with your colleagues.</p>
</div></div></div></div><div><div><p>Managerial / Technical Lead</p>
<p></p><div><div><p>This is a general indication and doesn&rsquo;t always reflect day-to-day responsibilities. Check the job description for full details.</p>
</div></div></div></div></div><p>#R-00278291</p><br>
<div></div>
<p></p><div>
</div><div><div><div><h2 class="jobSectionHeader"><b>Join our digital revolution in NatWest Digital X</b></h2>
<p>In everything we do, we work to one aim. To make digital experiences which are effortless and secure.</p>
<p>So we organise ourselves around three principles: engineer, protect, and operate. We engineer simple solutions, we protect our customers, and we operate smarter.</p>
</div></div><div></div><div><h2 class="jobSectionHeader"><b>Job description</b></h2>
<p>This role is based in the United Kingdom and as such all normal working days must be carried out in the United Kingdom.</p>
<p></p><div><p>Join us as a Software Engineer, Backend</p>
<p></p><ul><li>This is an opportunity for a technically minded individual to join us as a Software Engineer</li>
<li>You&rsquo;ll be designing, producing, testing and implementing working software, working across the lifecycle of the system</li>
<li>Hone your existing software engineering skills and advance your career in this critical role</li>
</ul><p></p><h2 class="jobSectionHeader"><b>What you'll do</b></h2>
<p></p><p>Working in a permanent feature team, you&rsquo;ll be developing knowledge of aspects of the associated platform across the disciplines of business, applications, data and infrastructure. You&rsquo;ll also be liaising with principal engineers, architects in the domain and other key stakeholders to understand how the platform works and how it supports business objectives.</p>
<p></p><p>You&rsquo;ll also be:</p>
<p></p><ul><li>Applying Agile methods to the development of software on the backlog</li>
<li>Producing resilient and long-lived software and acting flexibly to cope with future needs</li>
<li>Delivering intentional architecture and formulating emergent design through innovative ideas, experimentation and prototyping</li>
<li>Designing and developing software with a focus on the automation of build, test and deployment activities, using executable patterns</li>
</ul><p></p><h2 class="jobSectionHeader"><b>The skills you'll need</b></h2>
<p></p><p>We&rsquo;re looking for someone to join our high performance engineering team building our new real time banking platform. You&rsquo;ll bring strong experience of working with Continuous Deployment practices in production environments.</p>
<p>You&rsquo;ll have experience building and operating cloud native services using technologies such as Spring Boot, with automation as a core engineering principle.</p>
<p></p><p>You&rsquo;ll be comfortable designing and delivering robust, scalable and resilient distributed systems, with a strong focus on reliability, observability and operational excellence. Exposure to agentic coding practices where it adds value, would be hugely beneficial</p>
<p></p><p>You'll also need:</p>
<p></p><ul><li>Strong experience building robust, resilient and defensively coded distributed systems, ideally leveraging technologies such as Kafka and an understanding of designing and operating RESTful APIs at scale, including versioning, observability, monitoring, and forward, backward compatibility</li>
<li>Experience with event driven architectures, both orchestrated and choreographed is expected</li>
<li>Experience working effectively in teams that value autonomy and empowerment, where engineering excellence is aligned to product outcomes</li>
<li>Strong experience operating in distributed, cloud native environments with complex failure modes, requiring thoughtful approaches to system design and assurance</li>
<li>Proven ability to coach and mentor other engineers, supporting the growth and capability of the wider team</li>
</ul></div><div>
</div></div></div><div><div><div><div><h2 class="jobSectionHeader"><b>Your benefits breakdown</b></h2>
<p>Here&rsquo;s a quick look at what your pay package and annual leave could look like if you get accepted for the role. We have a wide range of benefits to support you in your working life and beyond.</p>
<p>Please note, the presented benefits packages are based on the minimum base salary.</p>
<p>Tap each segment for details.</p>
</div><div><h3 class="jobSectionHeader"><b>Your pay package</b></h3>
<div><div><p>&pound;</p>
</div></div></div><p></p><div><div><h3 class="jobSectionHeader"><b>Your leave allowance</b></h3>
<div><p>30 days Annual leave You&rsquo;ll also have the opportunity to purchase up to 5 additional days off.</p> <p>3 days Volunteering Take time off to support the causes you&rsquo;re passionate about.</p> <p>3 days Training Take time to build the skills you need to grow your career.</p>
</div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Total rewards package</b></h3><br>
<p></p>
</div><div>
</div></div></div></div></div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Welcome to our Bishopsgate hub</b></h2>
<p>Based only a few minutes&rsquo; walk from Liverpool Street Station, the central location of this office makes working there incredibly convenient. Everything you need is close by, so you can run errands, go to the gym, and socialise with friends and colleagues before and after work.</p>
<p>Bishopsgate recently underwent a multi-year refurbishment programme to improve spaces and facilities as well as become more sustainable.</p>
</div></div></div></div></div></div><p></p><div><div><div><div><h3 class="jobSectionHeader"><b>Our tech stack</b></h3>
<p>Here&rsquo;s just some of the technologies we use.</p>
</div><div><h3 class="jobSectionHeader"><b>Front end</b></h3>
<div><ul><li>JavaScript</li>
<li>ReactJS</li>
<li>AngularJS</li>
</ul></div></div><div><h3 class="jobSectionHeader"><b>Back end</b></h3>
<div><ul><li>Python</li>
<li>Java</li>
<li>Microsoft Dynamics</li>
</ul></div></div><div><h3 class="jobSectionHeader"><b>DevOps</b></h3>
<div><ul><li>AWS</li>
<li>GitLab</li>
<li>Google Cloud Platform</li>
</ul></div></div><div><h3 class="jobSectionHeader"><b>Data</b></h3>
<div><ul><li>Kafka</li>
<li>Hadoop</li>
<li>PostgreSQL</li>
<li>Snowflake</li></ul></div></div></div></div></div></div>

Software Engineer, Backend

Applied Computing

<div><p>Applied Computing was founded in 2024 to build Orbital, a physics-informed foundation model for energy operations. We&rsquo;re live across oil and gas, refineries, and petrochemicals, working towards our mission: sustainable abundance for a growing planet.</p><p><br>
The hydrocarbon industry keeps the world running. But its complexity has left operators tied to legacy systems, making critical decisions on less than 10% of available data. We built Orbital to change that. It&rsquo;s a foundation model built specifically for energy that lets companies use AI at scale, harnessing all of their operational<br>
data and optimising in real time for any metric. Decisions get faster, operations get safer, and carbon intensity falls.</p><p><br>
We&rsquo;ve raised over $32 million, including one of the largest seed rounds for an<br>
AI company in the UK. We&rsquo;re just getting started</p><p></p><p>
As a Senior Full Stack Engineer on the Core AI team, you will build the platform that makes Orbital a scalable product. You will own the internal application layers, developer facing APIs, shared UI components, and integration frameworks that power every Orbital deployment.</p><p></p><p>
This is a product engineering role focused on building reusable systems. You will collaborate with AI research, Infra, and software teams to translate complex industrial workflows into reliable system components and intuitive user interfaces.</p><p></p><p>
Your work will define how users interact with Orbital across control rooms, engineering teams, and cloud-based environments.</p><p><b>
What Success Looks Like</b></p><ul><li>Orbital ships with high-quality dashboards and interfaces that users rely on daily</li><li>Core APIs and services provide stable, well-documented contracts for AI, data, and automation features</li><li>Frontend and backend codebases are modular, well-structured, and easy to extend</li><li>Releases are frequent, reliable, and backed by strong CI/CD pipelines</li><li>Features scale from one deployment to many without site-specific rework or bespoke</li></ul>
engineering<div><b>
Requirements</b><br>
<ul><li>Strong software engineering fundamentals (data structures, algorithms, complexity)</li><li>Solid understanding of system design patterns and architectural trade-offs</li><li>Strong proficiency in JavaScript / TypeScript</li><li>Experience building complex applications in React or Svelte</li><li>Ability to design reusable UI components and frontend architecture</li><li>Python for APIs, orchestration, and data integration</li><li>Backend experience with Node.js, FastAPI, Express, or similar frameworks</li><li>Experience designing and maintaining API-driven systems</li><li>Experience building containerised microservices using Docker and Kubernetes</li><li>Familiarity with distributed systems and event-driven architectures</li><li>Experience with message brokers such as Kafka or RabbitMQ</li><li>Comfortable working in Linux environments for debugging and performance tuning</li><li>Hands-on experience with AWS (EKS, S3, IAM, CloudWatch, networking fundamentals)</li></ul></div><div><b><br>
Product &amp; Engineering Mindset</b><br>
<ul><li>Comfortable operating in a fast-moving product environment with evolving</li></ul>
requirements<br>
<ul><li>Strong collaboration skills across AI, infra, and product teams</li><li>Bias toward reliability, resilience, and long-term maintainability</li><li>Ability to design systems that scale across customers, sites, and industrial verticals</li><li>Comfortable shipping on a bi-weekly release cadence</li></ul></div><div><b><br>
What This Role Is Not</b><br>
<ul><li>Not a pure frontend or UI-only role</li><li>Not infrastructure-only or DevOps-focused</li><li>Not a research or modelling role</li><li>Not a one-off project engineer; this role builds core platform primitives</li></ul></div><div><b>
1. Full Stack Product Development</b><br>
<ul><li>Build features across the product stack: data access, backend services, APIs, and UI</li></ul>
layers<br>
<ul><li>Develop backend logic that exposes:</li></ul>
o Time-series forecasts<br>
o Physics-based model outputs<br>
o LLM and agent outputs<br>
As stable product features</div><ul><li><p>
Create internal tools and workflows that support multiple engineering and operational use cases without custom deployments</p></li><li><p>
Ensure all application layers meet strict standards for:</p></li></ul><p>
o Reliability<br>
o Security<br>
o Observability<br>
o Performance<br>
Across cloud and on-prem environments</p><div><b><br>
2. Platform &amp; Microservices Architecture</b><br>
<ul><li>Design and implement containerised microservices running in Kubernetes clusters</li><li>Create shared services and libraries that enable reuse across Orbital verticals</li><li>Define API boundaries and service contracts that allow AI and infra layers to evolve</li></ul>
independently</div><div><b>
3. Core Platform Engineering</b><br>
<ul><li>Collaborate with Product, AI Research, ML Engineering, and Infra teams on:</li></ul>
o Product requirements<br>
o Long-term platform architecture<br>
<ul><li>Build interface layers that expose inference, physics-based reasoning, and optimisation</li></ul>
as first-class platform capabilities<br>
<ul><li>Implement abstractions for:</li></ul>
o Data ingestion<br>
o Inference orchestration<br>
o Scheduling<br>
o Monitoring and health checks<br>
<ul><li>Establish design patterns and engineering standards that unify the Orbital ecosystem</li></ul></div><div><b><br>
4. Software Engineering Excellence</b><br>
<ul><li>Write clean, modular, maintainable code across frontend and backend systems</li><li>Set up and improve CI/CD pipelines for:</li></ul>
o Automated testing<br>
o QA<br>
o Rapid, safe releases<br>
<ul><li>Participate in code reviews and architectural discussions</li><li>Leverage modern agentic coding tools to increase velocity while maintaining</li></ul>
correctness and readability</div><p><b>
Benefits</b></p><p>
Competitive salary and benefits<br>
Ability to work from the office or remote<br>
Employment contract in UK or India, EOR or contractor options available in other jurisdictions<br>
Exciting high traction AI product</p></div>

Staff Software Engineer

in-tech group Ltd

<p><b>About the Job</b></p><p>At in-tech, we are working to make mobility more sustainable and more intelligent.</p><p>As a specialist in electronics and software for the past 20 years, in-tech develops innovative solutions for the automotive sector.</p><p>A dynamic and fast-growing engineering company headquartered in Munich, Germany employing around 2350 employees globally across 20 project locations in 08 countries.</p><p>We are looking for Sr Java Full stack Engineer with strong expertise in Java, Spring Boot, React, and AWS, along with experience building AI/agentic solutions. This role requires someone with strong ownership, technical leadership, and the ability to drive projects end-to-end and work in the client location in London at Hybrid basis.</p><p><b>Key Responsibilities</b></p><ul><li>Lead the design, development, and delivery of scalable full-stack applications using Java, Spring Boot, React, and AWS.</li><li>Own the complete software lifecycle &mdash; from architecture and development to deployment, monitoring, and continuous improvement.</li><li>Build and integrate AI-powered solutions, including LLM-based workflows, autonomous agents, copilots, and orchestration frameworks.</li><li>Design secure, resilient, and high-performance cloud-native systems on AWS.</li><li>Collaborate closely with product managers, designers, architects, and engineering teams to translate business requirements into technical solutions.</li><li>Drive technical best practices, code quality, engineering standards, and system reliability.</li><li>Mentor engineers and contribute to a strong culture of collaboration, accountability, and continuous learning.</li><li>Proactively identify technical risks, bottlenecks, and opportunities for optimization.</li><li>Participate in architectural discussions, technical planning, and strategic technology decisions.</li><li>Implement CI/CD pipelines, observability, testing strategies, and DevOps best practices.</li><li>Stay current with emerging AI technologies, agent frameworks, and modern engineering trends.</li></ul><p><b>Required Skills &amp; Qualifications</b></p><ul><li>7 - 8 years of software engineering experience with strong full-stack development expertise.</li><li>Strong proficiency in: Java , Spring Boot / Microservices, React.js, REST APIs, AWS cloud services</li><li>Proven experience designing and deploying distributed cloud-native applications.</li><li>Mandatory hands-on experience building AI/LLM-based applications and agentic systems.</li><li>Experience with AI orchestration frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar.</li><li>Strong understanding of prompt engineering, retrieval-augmented generation (RAG), vector databases, and AI integration patterns.</li><li>Experience with Docker, Kubernetes, CI/CD pipelines, and infrastructure automation.</li><li>Strong system design and architecture capabilities.</li><li>Ability to independently drive initiatives with end-to-end ownership.</li><li>Excellent problem-solving, communication, and stakeholder management skills.</li><li>Strong collaborator with a proactive, self-driven mindset.</li><li>Willingness to work at client office in London on hybrid basis.</li></ul><p><b>Apply with us</b></p><p>If you have the experience, team spirit and are looking for a great place to work, then start your job with us.</p><p>As part of our dedication to the diversity of our workforce, in-tech is committed to equal employment opportunity without regard for age, race, colour, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion.</p><p>Application question(s):</p><ul><li>Notice Period</li><li>Experience with working AI Frame works and Agents?</li><li>Do you require Visa Sponsorship?</li><li>Are you fine to relocate to London?</li></ul><p>Work Location: Hybrid remote in London</p>

Senior Java Full Stack Engineer (Spring Boot, React, AWS, AI)

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