software engineer

ai engineer

senior software engineer

senior ai engineer

lead software engineer

lead software architect

WallStreetdocs

<div>About the Role
We are looking for a Lead Software Engineer-Platform Services to drive our core platform ecosystem. In this role, you will drive technical excellence across dual-stack ( Node.js/TypeScript and Java/Kotlin ) distributed systems. 
 
<div>Job Role
 
<ul><li>Own and operate platform services that include customer and developer portals and centralised document management plus other cross-cutting services
</li><li>Lead architectural decisions across the platform
</li><li>Mentor engineers and drive technical quality
</li></ul> 
Responsibilities
 
<ul><li>Maintain and evolve engineering standards, shared libraries, service templates, API/event specifications, and Kafka integration patterns
</li><li>Own performance and reliability: distributed tracing, benchmarks, latency optimisation, incident response
</li><li>Continue Keycloak migration and identity infrastructure work
</li><li>Lead development of developer portal and internal tooling
</li></ul> 
Required experience
 
<ul><li>10+ years backend engineering with distributed systems at scale
</li><li>Strong in Node.js/TypeScript and Java/Kotlin
</li><li>Kafka and event-driven architecture
</li><li>AWS, Kubernetes, Docker in production
</li><li>Postgres, Elasticsearch; observability tooling (Datadog, Elastic APM)
</li><li>Financial services or other regulated/high-reliability environments
</li></ul> 
Desirable
 
<ul><li>Identity/auth experience: Keycloak or similar, OAuth 2.0, OIDC, SAML
</li><li>Zero-downtime migration experience
</li><li>Developer experience/platform tooling (Backstage, service templates, DORA metrics)
</li><li>Technical leadership or product ownership of platform services 
</li></ul></div> 
 
If you have the skills, experience and drive to excel in this challenging and rewarding role, we would love to hear from you. Apply today and take the next step in your career with us! 
 
WSD is an employer that values diversity. We highly encourage applications from appropriately qualified and eligible candidates irrespective of age, race, religion, national origin, gender, sexual orientation, gender identity and/or expression, veteran status, disability, or any other status protected by applicable law.</div>

Lead Software Engineer

GreySpark Partners

GreySpark Partners is a specialist consultancy that helps capital markets firms transform how they operate, compete and innovate. We combine deep industry expertise with hands-on delivery to solve complex business, technology and regulatory challenges for investment banks, asset and wealth managers, fintechs and other financial institutions, with a strong focus on front-office trading, electronic trading risk and governance.
 
GreySpark is building a new AI Engineering capability and is seeking an experienced software engineer with a keen interest in ing AI in production environments. This is an opportunity to work on high-impact engagements across financial services and technology sectors, helping clients identify where AI creates value, where it introduces risk, and how it can be deployed responsibly at scale.
 
As a Lead AI Engineer, you will build business applications using agentic AI and establish the engineering standards that make that work repeatable. You will ship production systems, spearhead a new AI-engineering practice, and help shape how GreySpark and its clients adopt AI technologies.
 
This is a senior position. You will write code. You will supervise the AI writing code. You will decide how the team writes code.
 
Responsibilities
 
Engineering
 
Build business applications using agentic AI. Design, build, and ship systems in which autonomous agents plan, invoke tools, and complete multi-step tasks against real business processes.
 
Build automated and AI-augmented data pipelines. Move data reliably at scale, and use AI to classify, extract, enrich, and validate it.
 
Technical leadership
 
Identify and maintain AI-engineering best practices. Own the standards for evaluation, testing, observability, prompt and agent design, and safe deployment across the team.
 
Train colleagues in AI-engineering disciplines. Raise the bar through code review, workshops, and direct mentoring.
 
Build a client community. Create and run the forums, briefings, and demos where clients share best practices and new ideas.
 
Advisory and expertise
 
Support the strategy team on due diligence engagements. Assess the technical substance behind a target’s AI claims.
 
Assess technology vendors’ AI maturity, opportunities, and risks. Translate findings into clear recommendations for non-technical decision-makers.
 
Skills & Experience
 
Essential
 
A strong software engineering background, with several years of experience building and running production systems. Java, TypeScript, and Python expertise is required.
 
Some experience building agentic AI applications. This includes work with large language models, tool use, retrieval-augmented generation, and agent orchestration frameworks.
 
Data engineering experience across pipeline orchestration, cloud data platforms, and the patterns that keep pipelines reliable.
 
The judgment to lead. You can set standards, review the work of others, and explain technical trade-offs to senior management.
 
Desirable
 
A record of evaluating and improving AI systems, not only prototyping them. You know how to measure quality and catch regressions before they reach production.
 
Consulting, due diligence, or client-facing advisory experience.
 
A track record of presenting to or running technical communities.
 
Familiarity with AI governance, security, and risk frameworks.
 
Qualifications
 
Minimum bachelor’s degree in computer science, mathematics, or related technical discipline
 
Relevant professional certifications are advantageous
 
What we offer
 
At GreySpark, you will have the opportunity to work across a diverse range of projects, industries and technologies, combining hands-on engineering with direct client engagement. We offer a highly collaborative environment, significant autonomy, and the chance to help shape a growing capability from an early stage. The role provides meaningful influence over both client outcomes and the future direction of the firm’s AI engineering practice.
 
In addition, we offer a competitive compensation package aligned to experience, along with a comprehensive benefits offering including pension, private medical insurance, dental cover, income protection, life assurance and generous holiday allowance.
 
To find out more about the role please contact our Talent Acquisition Team
 
Email: careers-uk@greyspark.com

Lead AI Engineer

Ravio

<div>We help companies get compensation right.
What we get paid at work has a massive impact on our lives, and it&rsquo;s one of the biggest factors in hiring and retaining talent - and yet so many companies struggle to get it right. They simply have no choice but to rely on poor data and unsophisticated tools for their pay decisions. That&rsquo;s why we created Ravio.
We help many of the world&rsquo;s most innovative and ambitious companies build stronger teams and reach their goals through better compensation. Our real-time data platform brings compensation into the modern age, tracking the market across all compensation types from salary to equity and benefits.
Ravio is growing fast, which means you can too. We&rsquo;ve established ourselves as the European leader in our space serving more than 1,200 clients, and now have our sights set on becoming the global go to place for compensation data and tools for managing compensation.
Joining a startup and scaling it into a global product is one of the most challenging and rewarding experiences a career can offer. If that sounds exciting to you, you&rsquo;re in the right place. 
The role
We&rsquo;re looking for a Lead Software Engineer to join our engineering team and play a major role in our technical leadership during a significant platform shift.
Ravio is moving from a traditional SaaS posture to a platform built around agents - parent agents fronting our compensation data, specialist agents underneath, durable workflows, an MCP-based tool layer, and an eval harness to maintain consistency. You&rsquo;ll own architecture and technical design across the stack: the customer-facing web app, the agentic platform, and the shared infrastructure connecting them.
You&rsquo;ll bring system design depth - the kind that holds up under load, failure, and coordination across services and teams. You&rsquo;ll continue to raise the bar on code quality, reliability, and the technical decisions that shape what we ship.
This is a hands-on individual contributor role - leading technical decision-making and tackling the hardest problems we encounter. There are also upcoming opportunities to move into management as our company continues to grow, if you wish. 
Requirements<ul><li>
8+ years commercial engineering experience, with a track record of technical leadership during platform shifts - owning architecture, driving decisions, raising the bar through code review and design review, especially where LLM assisted engineering has become the standard</li><li>
System design depth as your headline strength. Concrete: durability and consistency under failure, multi-service orchestration, data platforms, performance and cost at scale, observability and ops fluency</li><li>
Senior-level fluency in TypeScript and Node, comfortable across the backend (PostgreSQL, GraphQL or HTTP APIs, GCP-shaped infra)</li><li>
Comfortable owning code in a distributed monorepo with multiple deployable services</li><li>
Ships fast under product pressure - we&rsquo;re moving from PMF to scale and the role needs that pace</li></ul>
Nice to have<ul><li>
Production experience with agentic systems - tool calling, multi-step orchestration, LLM evals.</li><li>
Workflow engines (Temporal, Cadence, Step Functions) - even if not Temporal specifically</li><li>
MCP, Anthropic SDK, or other LLM platform work</li><li>
Building developer platforms, internal SDKs, or framework-shaped surfaces</li><li>
Eval-driven development, prompt engineering at scale, LLM-judge harnesses</li><li>
React or another modern frontend framework</li></ul>
Our tech stack<ul><li>
Frontend<ul><li>
React</li><li>
Typescript</li><li>
GraphQL (Apollo Client)</li><li>
Playwright</li><li>
Jest</li><li>
Storybook + Chromatic</li><li>
Mantine</li><li>
GCP (Cloud Run)</li></ul></li><li>
Backend<ul><li>
Typescript</li><li>
PostgreSQL</li><li>
GraphQL Yoga</li><li>
Jest</li><li>
Auth0</li><li>
GCP (Cloud Run, Cloud SQL, Cloud Storage + more)</li></ul></li><li>
AI / agentic platform<ul><li>
Opus/GPT/Gemini/and many more model families</li><li>
Vertex/Bedrock/Foundry - Cloud deployed models</li><li>
Temporal - durable workflow engine</li><li>
MCP servers as the tool layer</li><li>
AI gateway (Bifrost) for logging, routing, governance</li><li>
Eval harness (Phoenix) - golden queries, LLM-as-judge</li><li>
Memory layer (Neo4j)</li></ul></li><li>
All the other good stuff<ul><li>
GitHub Actions</li><li>
Datadog</li><li>
Figma</li><li>
Slack</li><li>
Linear</li></ul></li></ul>
The opportunity at Ravio right now
From your perspective, there are three critical things to look for when evaluating this role: a company going places, a strong engineering culture, and a role that gives you a true opportunity to have impact as a technical leader.
Ultimately it&rsquo;s for you to decide whether that&rsquo;s true in our two-way street interview process. Here&rsquo;s a summary of where we are right now and what you can expect as a starting point.
There&rsquo;s a lot happening at Ravio right now. We&rsquo;ve just raised our Series A led by tier 1 US investors Spark Capital, and have acquired the benchmarking business of our competitor - Compete. We&rsquo;ve got new joiners starting almost every week, and we&rsquo;re rapidly expanding outside of our core markets in Europe. We need you to help us maintain our velocity and continue to build a scalable org and product.
Our core benchmarking product is at product-market fit, and we have a couple of new modules in the 0-1 phase. This means we&rsquo;re at an exciting stage that involves 0-to-1 building in some areas, and building for scale in others. That&rsquo;s true across the business, we&rsquo;re continuing to expand and experiment, while systemising and doubling down on what is already working well from our seed phase.
Beyond the core product, we&rsquo;re building Ravio&rsquo;s agentic platform - parent agents fronting our compensation data with specialist agents underneath, durable workflows on Temporal, an MCP-based tool layer, and an eval harness to maintain consistency. It&rsquo;s a platform engineering effort with the same care and rigour we apply to the rest of the product. A Lead engineer joining now would help shape the foundations of how Ravio&rsquo;s product is built for the next phase.
We&rsquo;d like to think Ravio is a great place to be a Lead engineer - we have technical leaders who know first hand the importance of creating space and focus for engineering teams to do their best work. And you&rsquo;ll be working alongside many accomplished and world class teammates, who are energised by the work they do and have a high bar for themselves and their colleagues.
Why join Ravio?<ul><li>
Shape an agentic platform from its early stages, with senior engineering peers and a high autonomy bar.</li><li>
Opportunity for fast-tracked professional growth at a scaleup backed by world-class investors alongside a smart, energetic team.</li><li>
Blend of IC work and leadership, giving you both hands-on impact and career growth.</li><li>
Remote-friendly, flexible work culture with a high degree of ownership.</li><li>
While we&rsquo;re very focused, we also know how to have fun in the process.</li><li>
Build a meaningful product that helps people get paid fairly and competitively in their careers.</li></ul><h2 class="jobSectionHeader">
Compensation &amp; benefits</h2><ul><li>
&pound;110,000 - &pound;150,000</li></ul><ul><li>
Company ownership (everyone gets a meaningful equity stake in Ravio)</li><li>
37 days paid time off (25 days holiday + 4 wellness days + 8 public holidays)</li><li>
Up to 6% pension matching scheme</li><li>
&pound;60 a month wellness allowance (Invest in your physical wellbeing, on us)</li><li>
&pound;500 per year Learning and Development budget</li><li>
Private healthcare cover (on a medical history disregarded basis) with AXA</li><li>
Personal worldwide travel insurance - just in case</li><li>
Income protection insurance (for full peace of mind in case you cannot work because of sickness or disability)</li><li>
16 weeks fully paid birthing parent leave, followed by 4 weeks at 50% pay. For non-birthing parents, we offer 8 weeks fully paid leave.</li></ul>
For more information about what we collect and how we use it when you apply for a role with us, please refer to our Candidate Privacy Notice
#LI-Hybrid
#LI-JC1
Compensation Range: &pound;110K - &pound;150K</div>

Kraken

<div><div>Help us use technology to make a big green dent in the universe!</div>
<div></div>
<div>Kraken powers some of the most innovative global developments in energy.</div>
<div></div>
<div>We&rsquo;re a technology company focused on creating a smart, sustainable energy system. From optimising renewable generation, creating a more intelligent grid and enabling utilities to provide excellent customer experiences, our operating system for energy is transforming the industry around the world in a way that benefits everyone.</div>
<div></div>
<div>It&rsquo;s a really exciting time in energy. Help us make a real impact on shaping a better, more sustainable future.</div>
<div></div>
<div>Kraken Customer</div>
<div></div>
<div>What we do: build the most AI-driven, innovative, forward-thinking platform for energy management. From optimising resources to delivering cost-effective, exceptional customer experiences through advanced Customer Information Systems (CIS), billing, meter data management, CRM, and AI-driven communications, Kraken is powering the next wave of innovation in the energy industry.</div>
<div></div>
<div>Why we do it: future energy will not look like energy as we know it today. We need to not just think about our future, but build for it. Now.</div><div></div><div> 
We are looking for a Team Lead to lead the Costing Framework EU squad.

The Costing Framework powers Kraken&rsquo;s billing system for metered energy consumption and plays a critical role in allowing us to deploy changes rapidly and deliver impact at scale.

As Team Lead you play a critical role in Kraken&rsquo;s engineering organisation. You will work closely with the team's Product Manager and APAC squad lead to guide product development through informed prioritisation and product objectives. 
 
You&rsquo;re expected to balance: operational effectiveness, team support and wellbeing, strategic product alignment, technical leadership 
 
This role is about building a high-functioning team, shipping and maintaining high-quality systems, and keeping Kraken&rsquo;s culture strong as we scale.
</div>
<h3 class="jobSectionHeader">What you'll do</h3><div>

1. Leadership &amp; Communication
<ul>
<li>Represent the team upward and outward with confidence
</li>
<li>Communicate proactively, clearly, and respectfully
</li>
<li>Keep the team informed about priorities and changes
</li>
<li>Advocate for your team while challenging constructively
</li>
</ul>2. Team Management &amp; Support
<ul>
<li>Stay aware of team capacity, stress, and wellbeing
</li>
<li>Run 1:1s and offer coaching and mentorship
</li>
<li>Nurture a collaborative, motivated team culture
</li>
<li>Make and carry out difficult decisions for the good of the team and Kraken 
</li>
</ul>3. Product &amp; Delivery Oversight
<ul>
<li>Align the team to product vision and long-term goals
</li>
<li>Maintain technical quality and improve systems thinking
</li>
<li>Guide team planning, delivery, and retros
</li>
<li>Translate large goals into achievable milestones
</li>
</ul>4. Strategic Decision-Making
<ul>
<li>Make resource and prioritisation trade-offs
</li>
<li>Contribute to hiring and talent development
</li>
<li>Distribute work fairly and rotate responsibilities
</li>
<li>Create clarity in ambiguous or shifting contexts
</li>
</ul>5. Operational Excellence
<ul>
<li>Oversee or delegate rituals (planning, standups, reviews)
</li>
<li>Connect team delivery to product-group and company-level goals
</li>
<li>Partner closely with key stakeholders
</li>
<li>Remove blockers &mdash; technical, process, or people-related
</li>
</ul></div><h3 class="jobSectionHeader">What you'll need</h3><div>
<ul><li>Experience with line management of at least 3 people</li>
<li>A strong software engineering background using Python and Django, minimum 5 years of experience</li>
<li>Is comfortable working asynchronously</li>
<li>Clear, regular communication</li>
<li>Strategic thinking and the ability to translate that to action</li>
<li>Advocacy for their team and its products</li>
<li>A commitment to mentorship and support</li>
<li>Strong organisational habits</li>
</ul></div><h3 class="jobSectionHeader">What this role is not
</h3><div>This isn&rsquo;t about doing everything yourself. It&rsquo;s about enabling the team &mdash; scaling through delegation, coaching, and people systems. Your value comes from what the team delivers, not just your personal output.</div><div>
Kraken is a certified Great Place to Work in France, Germany, Spain, Japan, Australia, and USA. In the UK we are one of the Best Workplaces on Glassdoor with a score of 4.5. Check out our Welcome to the Jungle site (FR/EN) to learn more about our teams and culture.</div>
<div></div>
<div>Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. If you have any specific accommodations or a unique preference, please contact us at inclusion@kraken.tech and we'll do what we can to customise your interview process for comfort and maximum magic!</div>
<div></div>
<div>Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Kraken, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status.</div>
<div></div>
<div>Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice, (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with your application and use of our website. These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you&rsquo;ve read, understood and consent to these terms</div>

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div>

Accenture

<div>YOU ARE
As an experienced and senior AI/LLM Architect, you will play a pivotal in designing and delivering end-to-end AI platform architectures that power the modern, reinvented enterprise. Operating at the intersection of business and engineering, you will own the technical design of advanced AI systems &mdash; spanning classical machine learning, generative AI, and agentic systems &mdash; ensuring they are purposefully architected to meet client business objectives and enterprise-grade standards.
Within this scope, you will take deep ownership of one or more critical architecture domains &mdash; such as agentic application design, AI security and trust, AI operations and observability, data and knowledge engineering, or model platforms and inference &mdash; serving as the lead authority in your domain across client engagements. You will develop and maintain specialized expertise in the technologies, patterns, and emerging practices within your domain, bringing that depth to bear in shaping architecture decisions, accelerating delivery, and building reusable assets that extend across the practice. You will evaluate, select, and apply the right design patterns, technical frameworks, and tools within your domain and across the broader AI architecture &mdash; ensuring cohesion across the full system. This includes architecting AI agents encompassing multi-agent orchestration, tool use, skills use, and memory systems, as well as the integration of fine-tuned foundation models and classical ML models into scalable, production-ready platforms.
A critical dimension of this is owning the design of a comprehensive AI context layer &mdash; drawing on enterprise knowledge bases, structured and unstructured data sources, and domain-specific content &mdash; to ground AI systems in the realities of each client's business and ensure outputs are accurate, trustworthy, and impactful. As the technical authority on your domains, you will lead architecture decisions and be accountable for ensuring systems meet rigorous non-functional requirements across security, observability, governance, performance, and scalability. You will produce and own the architecture artifacts that shape delivery &mdash; including architecture decision records (ADRs), component and data flow diagrams, and integration specifications &mdash; and provide the technical leadership that enables cross-functional teams of data engineers, ML engineers, and application developers to execute with clarity and confidence.
Your contributions will be instrumental in shaping how clients adopt and scale AI, pushing the boundaries of what these systems can achieve and delivering measurable, lasting business value.
THE WORK<ul><li>
Translate business strategy into a technical vision by defining the non-functional requirements (NFRs) necessary to meet operational goals for performance, reliability, and cost.</li><li>
Lead stakeholder workshops to align on technical feasibility, define project scope, and manage expectations with clients and leadership.</li><li>
Drive the technology selection process, evaluating build-vs-buy decisions for AI platforms (e.g., Arize, LangSmith) and foundational models.</li><li>
Architect model- and tool-agnostic multi-agent systems governed by an MCP Control Plane.</li><li>
Design and implement the Agent Registry as the mandatory system of record and the AI Gateway for runtime policy enforcement.</li><li>
Design and implement a certification gate to ensure no uncertified agents enter production, validating identity, policies, and evaluation metrics.</li><li>
Design, implement, and abstract core agent services, including a first-class abstracted memory service with semantic, episodic, and procedural endpoints.</li><li>
Architect the end-to-end data pipeline for AI systems, including data ingestion, preprocessing, and synchronization for fine-tuning and RAG.</li><li>
Design and implement the context layer&mdash;spanning knowledge graphs, vector search, and semantic retrieval&mdash;to create reliable, grounded RAG pipelines.</li><li>
Architect foundation model adaptation strategies, including dynamic, cost-and-performance-aware model routing and selection.</li><li>
Design, implement, and prototype high-throughput, low-latency inferencing solutions using techniques like response caching and request batching.</li><li>
Define security, governance, and observability as centrally-enforced, by-design controls for all AI systems.</li><li>
Architect a robust, defense-in-depth security framework, including per-agent identity with IAM/IAP binding and layered guardrails.</li><li>
Design and implement FinOps controls enforced at the AI Gateway, including token budgets, cost-center labeling, and threshold alerts.</li><li>
Establish the framework for comprehensive system evaluation, adopting productized tools and instrumenting observability with OTel</li><li>
Define and maintain the enterprise-wide AI reference architecture, reusable design patterns, and a library of approved software components.</li><li>
Independently design, implement, build, and deliver proof-of-concept prototypes and foundational software components to validate architectural decisions.</li><li>
Produce and own authoritative architecture artifacts, including blueprints, sequence diagrams, design specifications, and Architectural Decision Records (ADRs).</li><li>
Mentor and guide cross-functional engineering teams (data, ML, application) on architectural best practices and design patterns.</li><li>
Continuously research and integrate emerging AI patterns, frameworks, and technologies to maintain a forward-looking architecture.</li></ul></div>
 
<div>EDUCATION<ul><li>
Bachelor's Degree or equivalent</li></ul>
BASIC (REQUIRED) QUALIFICATION<ul><li>
Experience in designing &amp; deploying enterprise grade advanced AI solutions using agentic, generative and classical AI/ML using at least one cloud vendor.</li><li>
Experience in the Agentic, LLM and Generative AI space.</li><li>
Coding experience using Python</li><li>
Experience architecting and operationalizing LLM driven application architecture patterns.</li><li>
Expertise in coding engineering, machine learning, deep learning and NLP solutions and applications.</li><li>
Experience as a machine learning architect in the industry designing big data, machine learning. large scale analytical engineering solutions.</li></ul></div>

AI LLM Technology Architecture Manager

<div>YOU ARE
As a hands-on Infrastructure Architect, you are an experienced engineer with several years in infrastructure engineering who now takes on more complex, higher-impact work designing and optimizing the AI and machine learning infrastructure that powers real-world applications. Working alongside senior architects and engineers &mdash; and increasingly leading your own workstreams &mdash; you apply proven skills in coding, testing, configuring, deploying, monitoring, and troubleshooting AI systems and the infrastructure they run on. Day to day, you architect and optimize infrastructure components, write and review code and deployment scripts, design and tune cloud and on-premises compute resources such as GPU clusters and distributed training environments, deploy AI systems and models into production, and build and optimize data pipelines that feed AI and ML workflows. You optimize the computational stack for performance, cost, power, and scalability, monitor AI systems and infrastructure health across both InfraOps and MLOps disciplines, perform AI monitoring to track model and system performance, and independently troubleshoot and resolve complex issues across the stack. You also mentor junior engineers, contribute to architectural decisions, and help establish best practices. This is a hands-on, ownership-driven where you apply and deepen your expertise across modern tools and platforms &mdash; including container orchestration, model serving, CI/CD pipelines, InfraOps, MLOps, and AI monitoring &mdash; while making meaningful contributions to infrastructure that enables AI-driven business outcomes.
THE WORK<ul><li>
Write, review, and debug code, scripts, and infrastructure-as-code for AI infrastructure, automation, and tooling, setting standards for quality across the team.</li><li>
Architect, configure, and provision compute resources across cloud and on-premises environments, including GPU clusters and distributed training setups, optimizing for performance and utilization.</li><li>
Design and maintain deployment automation and CI/CD pipelines to support reliable, repeatable releases of AI systems, models, and applications.</li><li>
Deploy AI systems, models, and data pipelines into production, defining and improving the processes and best practices others follow.</li><li>
Lead container orchestration and model serving using tools such as Docker, Kubernetes, and model deployment frameworks.</li><li>
Architect and optimize the computational stack for performance, power, cost, and scalability, balancing trade-offs against business goals.</li><li>
Evaluate and select tools, frameworks, and platforms, making recommendations that shape the infrastructure roadmap.</li><li>
Integrate AI models and systems into existing enterprise systems, ensuring interoperability, security, and regulatory compliance.</li><li>
Own AI monitoring and infrastructure health across InfraOps and MLOps, tracking performance, reliability, and utilization, and driving remediation.</li><li>
Independently troubleshoot and resolve complex issues across the computational stack &mdash; hardware, networking, software, and models &mdash; and lead root-cause analysis.</li><li>
Mentor junior engineers and lead code reviews, providing technical direction and supporting their growth.</li><li>
Define and document architecture standards, processes, and procedures, and apply security, cost-efficiency, and scalability best practices across the infrastructure.</li></ul></div>
 
<div>EDUCATION<ul><li>
Bachelor's Degree in Computer Science, Computer Engineering, related Engineering field</li></ul>
BASIC (REQUIRED) QUALIFICATION<ul><li>
Experienced with coding, building, monitoring, troubleshooting applications of AI/ML models; selecting, designing and infrastructure for deploying and running them on premise or on public cloud.</li><li>
Strong understanding of AI and machine learning as a subject.</li><li>
Strong understanding of computing infrastructure a subject, preferred knowledge of AI infrastructure.</li><li>
Proficient in programming languages such as Python, Java, or C++.</li><li>
Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Kubeflow).</li><li>
Strong problem-solving skills and ability to work in a fast-paced environment.</li><li>
Excellent communication and collaboration skills.</li><li>
Experience in AI/ML infrastructure engineering or related roles on a hyperscaler platform for deploying large scale solutions.</li></ul></div>

AI Infrastructure Architecture Specialist

comind

<div>At CoMind, we are developing a non-invasive neuromonitoring technology that will result in a new era of clinical brain monitoring. In joining us, you will be helping to create cutting-edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world.<h3 class="jobSectionHeader">
The Role:</h3>
The Software Engineering team at CoMind spans the full stack of a regulated medical device company from embedded and real-time systems through application software, ML inference, GUI, DevOps, and test engineering. It is a team that builds across every layer, working to medical device software standards and shipping software that has to perform reliably in clinical environments.
As a Senior/Staff Software Test Engineer, you will define the quality and verification strategy across CoMind&rsquo;s entire software stack from embedded real-time systems to cloud-side data pipelines. You will move beyond task-level execution to architect the infrastructure and 'compliance-as-code' processes that provide the engineering team with high-velocity, high-confidence validation. You will serve as a key technical authority, ensuring our software not only meets stringent IEC 62304 and ISO 14971 standards but does so through sustainable, automated design.
You will function as the technical authority for software quality. Your goal is to move CoMind beyond traditional V&amp;V, architecting a self-validating system that integrates safety, regulatory compliance, and high-velocity development. You will be the bridge between Systems Engineering, Regulatory Affairs, and Software Engineering, ensuring that quality is an inherent attribute of our technology rather than a post-development checklist.
At CoMind, all team members work at least 4 days per week in the office, plus a flexible work-from-home day. This role is based in our London (Kings Cross) office.<h3 class="jobSectionHeader">
Responsibilities:
</h3><ul><li>Architect a scalable, high-fidelity testing infrastructure that enables continuous validation. Champion 'design for testability' across the entire engineering stack, influencing system architecture to ensure critical safety and performance requirements are verifiable by design.</li><li>
Define the end-to-end V&amp;V strategy for the product lifecycle. Quantitatively map software verification evidence directly to system-level safety risks (ISO 14971) to create a 'compliance-as-code' environment that drastically reduces time-to-submission for FDA and other regulatory bodies.</li><li>
Drive a 'quality-first' engineering culture by mentorship. Lead training and initiatives on Test-Driven Development (TDD), CI/CD best practices, and automated quality gates, ensuring that the engineering team&rsquo;s velocity is sustained by high-confidence automated processes.</li><li>
Lead the development of AI-augmented test strategies. Architect predictive anomaly detection systems and AI-driven test generation engines that evolve alongside our software, turning the test suite into an intelligent system that learns from past regressions.</li><li>
Collaborate with engineering leadership to drive continuous improvement in software development and test processes, ensuring that quality practices scale with the organisation.</li><li>
AI is fundamental to our culture &mdash; it's not just a tool, but a core part of how we work, collaborate, and innovate. We expect all team members to embrace AI in their daily work and continuously find new ways to use it effectively.</li></ul><h3 class="jobSectionHeader">
Skills &amp; Experience:</h3><ul><li>
Strategic Execution: 7+ years in software test engineering, with a proven track record of architecting testing strategies for complex, regulated systems (embedded, real-time, or SaMD).</li><li>
Regulatory &amp; Risk Authority: Deep working knowledge of IEC 62304 and ISO 14971. Proven ability to design 'compliance-as-code' workflows that integrate risk controls directly into the CI/CD pipeline and automate regulatory evidence generation.</li><li>
Technical Proficiency: Advanced Python and C/C++; extensive experience building scalable test infrastructure for both embedded hardware and cloud-side data pipelines.</li><li>
Cultural Leadership: Demonstrated success in mentoring software engineers and driving a 'quality-first' culture through TDD, static analysis, and automated quality gates.</li><li>
Cybersecurity &amp; Documentation: Strong experience in cybersecurity requirements (e.g., IEC 81001-5-1, FDA cybersecurity guidance) and rigorous documentation management for regulatory submission.</li></ul><h3 class="jobSectionHeader">
Nice to Have</h3><ul><li>
Experience testing real-time Linux or RTOS-based products.</li><li>
Background in MLOps, including validation of model drift, dataset governance, and automated performance evaluation.</li><li>
Expertise in managing complex build environments (e.g., CMake, Bazel) or cloud-native infrastructure-as-code (Terraform, AWS/GCP).</li><li>
Direct experience navigating FDA Q-Sub or MHRA pre-submission processes.</li><li>
Experience with hardware-in-the-loop or software-in-the-loop test environments.</li></ul><h3 class="jobSectionHeader">
Benefits:</h3><ul><li>
Company equity plan so all employees share in the success of the company</li><li>
Salary-sacrifice pension scheme</li><li>
Private medical, dental and vision insurance (medical history disregarded)</li><li>
Group life assurance at 4x annual income</li><li>
Comprehensive mental health support, including unlimited access to 1:1 sessions with trained professionals</li><li>
Unlimited holiday allowance (+ bank holidays) and one week of remote working per quarter</li><li>
Lunch voucher (&pound;10) every day for JustEat and free dinner on those days where you need to work later</li><li>
Twice weekly deliveries of fresh fruit and an extensive selection of snacks and drinks</li><li>
YuLife subscription, allowing you to turn your daily steps and meditation into discounts at a range of stores</li></ul>
Compensation Range: &pound;93,681 - &pound;157,778</div>

Staff Software Test Engineer

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