software engineer

data engineer

ai engineer

machine learning engineer

senior software engineer

quantitative software engineer

Morgan Stanley

<div><p>We&rsquo;re seeking someone to join our team as a Senior Quantitative Software Engineer to work as part of the FIDCOM super department, with a focus on serving as the senior technology face off to our commodities leadership. There are various trading critical technologies which the candidate will own, ranging from market making engines to our ability to hedge on the iterbank market with algos and order management.
</p><p></p><p>In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Senior Quantitative Software Engineer position at Vice President level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.
</p><p></p><p>Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
</p><p></p><p><b>What you'll do in the role:
</b></p><ul><li><p>Drive the development of innovative solutions, frameworks and best practices within the team&rsquo;s area of expertise
</p></li><li><p>Analyze complex datasets and synthesize insights into clear, actionable recommendations for technical and business stakeholders
</p></li><li><p>Design, develop and enhance client-facing products while optimizing the performance, scalability and reliability of trading algorithms
</p></li><li><p>Identify and mitigate operational risks by designing robust controls, monitoring frameworks and governance processes
</p></li><li><p>Act as an L3 Subject Matter Expert, providing critical support during market stress events, production incidents and complex operational challenges
</p></li></ul><p><b>What you'll bring to the role:
</b></p><ul><li><p>At least 8 years' relevant experience would generally be expected to find the skills required for this role
</p></li><li><p>Experience in delivering complex technology initiatives and contributing to strategic technology roadmaps
</p></li><li><p>Ample communication skills, with the ability to articulate complex technical concepts to both technology and business leadership
</p></li><li><p>Deep expertise within the relevant domain, coupled with a strong understanding of industry trends and market dynamics
</p></li><li><p>Strong programming skills in Java or Scala, with an interest in developing deep expertise in Scala
</p></li><li><p>Knowledge of C++
</p></li><li><p>Proficiency in python or other scripting languages for automation and tooling
</p></li><li><p>Exceptional analytical and problem solving skills
</p></li><li><p>Interest in functional programming principles
</p></li><li><p>Curiosity to leverage different technologies in solving financial modelling and quantitative challenges
</p></li></ul><p>#LI-hybrid #LI-RG1
</p><p></p><p><b>WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
</b></p><p></p><p>At Morgan Stanley, we raise, manage and allocate capital for our clients &ndash; helping them reach their goals. We do it in a way that&rsquo;s differentiated &ndash; and we&rsquo;ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
</p><p></p><p>To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
</p><p></p><p><b>Certified Persons Regulatory Requirements:
</b><br>
If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.
<br>
<br>
<b>Flexible work statement
</b><br>
Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.
<br>
<br>
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
</p><p></p><p>Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
</p><p></p><p>For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo .</p></div><p></p>

Senior Quantitative Software Engineer

Citi

<div><h2 class="jobSectionHeader"><b>Discover your future at Citi</b></h2>
<p>Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.</p>
<h2 class="jobSectionHeader"><b>Job Overview</b></h2>
<p>By Joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress.</p>
<p></p><p><b>Team/Role Overview</b></p>
<p>Citi is looking for a Quantitative Developer to join the FX options quantitative development team, building and maintaining the pricing and risk infrastructure that powers the FX Options trading desk. In this role, you will sit at the intersection of software engineering and quantitative finance, translating complex mathematical models into robust, production-grade systems used by traders and structurers daily. This is an opportunity to make a direct and measurable impact on how FX Options are priced, risk-managed, and delivered at global scale.</p>
<p></p><h2 class="jobSectionHeader"><b>What you&rsquo;ll do</b></h2>
<ul><li>Build and maintain analytics libraries that support real-time pricing and risk management for FX Options products.</li>
<li>Design and implement quantitative pricing models using numerical techniques including Monte Carlo methods and partial differential equation solvers.</li>
<li>Develop production software using C++ and Python, applying object-oriented design principles and performance optimisation techniques including hardware acceleration.</li>
<li>Work closely with traders and structurers to translate business requirements into reliable, scalable quantitative systems.</li>
<li>Collaborate with technology teams to integrate models into trading infrastructure.</li>
<li>Partner with risk, compliance, legal, and finance teams to ensure quantitative systems meet governance and control standards.</li>
<li>Apply sound risk awareness when contributing to business decisions, ensuring that model outputs and system behaviour align with the firm's risk and conduct standards.</li>
</ul><p></p><p><b>What we&rsquo;ll need from you</b></p>
<ul><li>Demonstrated software engineering ability in C++ and Python with practical experience.</li>
<li>Knowledge of statistics, probability theory, and their application to the evaluation and risk assessment of complex financial instruments.</li>
<li>Ability to design and implement numerical schemes and solve analytical equations relevant to financial modelling.</li>
<li>Familiarity with market data structures and how they are used in pricing and risk calculations.</li>
<li>Understanding of quantitative methods and investment products at any level of depth, with a willingness to develop further in a trading environment.</li>
<li>Clear and concise written and verbal communication skills, with the ability to explain technical concepts to non-technical partners.</li>
<li>A bachelor's degree or equivalent experience in a relevant discipline such as mathematics, computer science, physics, or engineering.</li>
</ul><p><i>Beneficial Skills &amp; Qualifications</i></p>
<ul><li>Exposure to FX Options or other derivatives products, including an understanding of how they are structured and traded.</li>
<li>Experience working in a financial services environment alongside trading desks or quantitative research teams.</li>
<li>Practical exposure to hardware acceleration techniques for performance-critical quantitative applications.</li>
</ul><h2 class="jobSectionHeader"><b>What We Offer</b></h2>
<p>We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best-in-class benefits they need to be well, live well and save well.</p>
<p></p><p>By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:</p>
<p></p><ul><li>Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure</li>
</ul><ul><li>A discretional annual performance related bonus</li>
<li>Private medical insurance packages to suit your personal circumstances</li>
<li>Employee Assistance Program
</li><li>Pension Plan</li>
<li>Paid Parental Leave</li>
<li>Special discounts for employees, family, and friends</li>
<li>Access to an array of learning and development resources</li>
</ul><p></p><p>Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive.</p>
<p></p><p><b>Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities.</b></p>
<p>-</p>
<h2 class="jobSectionHeader"><b>Job Family Group:
</b></h2>Institutional Trading
<p>-</p>
<h2 class="jobSectionHeader"><b>Job Family:</b></h2>
Quantitative Analysis
<p>-</p>
<h2 class="jobSectionHeader"><b>Time Type:</b></h2>
Full time
<p>-</p>
<h2 class="jobSectionHeader"><b>Most Relevant Skills
</b></h2>Please see the requirements listed above.
<p>-</p>
<h2 class="jobSectionHeader"><b>Other Relevant Skills
</b></h2>For complementary skills, please see above and/or contact the recruiter.
<p>-</p>
<p><i>Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p></div><p></p>

FX Options Quantitative Developer (Assistant Vice President)

G-Research

<div>
 <p>
  We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity.
 </p>
 <p>
  <br/>
 </p>
 <p>
  From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we&rsquo;re building a world-class platform to amplify our teams&rsquo; most powerful ideas.
 </p>
 <p>
  <br/>
 </p>
 <p>
  As part of our engineering team, you&rsquo;ll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Take the next step in your career.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The role
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for highly motivated, technically strong and customer-focused Software Engineer to join the Engineering Tools team.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our mission is to improve development processes and research workflows across G-Research, with a focus on CI/CD.
 </p>
 <p>
  <br/>
 </p>
 <p>
  As a member of our team, you will support the inception, design, build, implementation, and ongoing development of our capabilities, working closely with engineers and researchers across the organisation to enhance productivity and streamline workflows.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Interesting projects include:
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Writing an abstraction layer over our Continuous Integration framework
  </li>
  <li>
   Designing, implementing and rolling out a set of Python standards
  </li>
  <li>
   Providing high value features across our other products
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Who are we looking for?
  </strong>
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  The ideal candidate will have:
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   Experience creating high-quality infrastructure and developer tools at scale.
  </li>
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   Strong understanding of software architecture
  </li>
  <li>
   Intellectual curiosity and a desire to learn about engineering and quant workflows
  </li>
  <li>
   Strong problem-solving skills and the ability to work with users across different business areas, experiences and cultures to drive towards the best outcome for the organisation
  </li>
  <li>
   Excellent communication and stakeholder management skills
  </li>
  <li>
   Hands on experience with Python or C++ ecosystems (build systems, testing, tooling) would be highly valuable
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why should you apply?
  </strong>
 </p>
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  <br/>
 </p>
 <ul>
  <li>
   Highly competitive compensation plus annual discretionary bonus
  </li>
  <li>
   Lunch provided (via Just Eat for Business) and dedicated barista bar
  </li>
  <li>
   35 days&rsquo; annual leave
  </li>
  <li>
   9% company pension contributions
  </li>
  <li>
   Informal dress code and excellent work/life balance
  </li>
  <li>
   Comprehensive healthcare and life assurance
  </li>
  <li>
   Cycle-to-work scheme
  </li>
  <li>
   Monthly company events
  </li>
 </ul>
</div>


Software Engineer - Engineering Tools

Clearwater Analytics (CWAN)

<div><div><div><p><b>Job Summary</b></p></div><div><p>
We are seeking a skilled and motivated Software Engineer to join our dynamic team at CWAN. In this role, you will be responsible for designing, building, deploying, and maintaining high-quality code while collaborating with cross-functional teams to enhance our software offerings. This position is ideal for an engineer who is driven by client satisfaction and has a strong commitment to continuous learning and improvement. We use AI agents to speed up development safely and at the same time help clients achieve the same. A strong mathematical foundation is essential, as the role involves designing and optimising complex algorithms, numerical computations, and performance-critical financial systems. This is a software developer role that involves efficiently implementing mathematical calculations while at the same time integrating with the wider system.</p></div><p></p><div><p>
We welcome applicants across a range of experience levels, from mid-level engineers building their expertise to seasoned seniors with deep domain knowledge. The scope of responsibilities and degree of autonomy will be tailored accordingly, offering room to grow for those earlier in their career and opportunities to lead and influence for those with more experience.</p></div><p></p><div><p><b>
Responsibilities</b></p></div><div><p><i>
Responsibilities will be scoped to match your level of experience. More experienced engineers will be expected to take on broader ownership, mentorship, and technical leadership.</i></p></div><div><ul><li><p>
Design, build, deploy, and maintain quality code that is simple, well-structured, clear, and well-tested.</p></li></ul></div><div><ul><li><p>
Use AI agents to speed up development and advise others how to use them safely, both clients and internally.</p></li></ul></div><div><ul><li><p>
Break down and solve complex problems efficiently, utilising research and collaboration as needed.</p></li></ul></div><div><ul><li><p>
Implement and maintain multiple levels of automated testing (e.g., unit, integration, contract, end-to-end).</p></li></ul></div><div><ul><li><p>
Mentor new and less-experienced team members, sharing knowledge and best practices. (More senior candidates)</p></li></ul></div><div><ul><li><p>
Communicate effectively with stakeholders at all levels, including translating technical and mathematical concepts for non-technical audiences.</p></li></ul></div><div><ul><li><p>
Coordinate with cross-functional teams to ensure successful integration of software applications.</p></li></ul></div><div><ul><li><p>
Troubleshoot and resolve production incidents promptly and effectively.</p></li></ul></div><div><ul><li><p>
Design and implement mathematical models and algorithms for financial calculations, including pricing, risk metrics, and portfolio analytics.</p></li></ul></div><div><ul><li><p>
Perform numerical analysis and optimisation of computationally intensive routines, ensuring accuracy, correctness, and performance at scale while integrating seamlessly with the broader platform infrastructure.</p></li></ul></div><div><ul><li><p>
Design and maintain integration layers between mathematical computation engines and broader system services, ensuring reliability, observability, and maintainability.</p></li></ul></div><p></p><div><p><b>
Required Skills</b></p></div><div><ul><li><p>
Proficiency in Python, including experience writing performance-critical code. Familiarity with C++ or Rust for low-level numerical routines is a strong plus.</p></li></ul></div><div><ul><li><p>
Experience in the financial domain is a plus, although not required.</p></li></ul></div></div><div><div><ul><li><p>
Strong command of a typed, object-oriented programming language, with an appreciation for system design, API boundaries, and clean integration patterns.</p></li></ul></div><div><ul><li><p>
Deep knowledge of software methodologies, tools, and common architectural patterns.</p></li></ul></div><div><ul><li><p>
Solid understanding of mathematics relevant to financial software, including linear algebra, calculus, probability, and statistics.</p></li></ul></div><div><ul><li><p>
Experience implementing mathematical optimisations such as numerical solvers, interpolation methods, or matrix decompositions.</p></li></ul></div><div><ul><li><p>
Ability to translate mathematical and financial specifications into efficient, well-tested code that integrates cleanly with distributed systems and service-oriented architectures.</p></li></ul></div><div><ul><li><p>
Excellent teamwork and collaboration skills.</p></li></ul></div><div><ul><li><p>
Ability to manage time effectively and deliver results within deadlines.</p></li></ul></div><div><ul><li><p>
Commitment to continuous learning and professional development.</p></li></ul></div><div><ul><li><p>
Exceptional analytical and problem-solving skills.</p></li></ul></div><p></p><div><p><b>
Education and Experience</b></p></div><div><ul><li><p>
Degree in Computer Science, Mathematics, or a related field.</p></li></ul></div><div><ul><li><p>
2&ndash;10+ years of software development experience using Python or any other OOP language. We encourage candidates at all to apply &mdash; the role and level of responsibility will be shaped to fit your experience.</p></li></ul></div><div><ul><li><p>
Demonstrated experience applying mathematical or quantitative methods in software projects is a plus.</p></li></ul></div></div></div>

Senior Software Development Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.</p>
<p>As a Lead Software Engineer at JPMorgan Chase within Quantitative Execution Strategies Tech, 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 building critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.</p>
<p><b>Team Overview:</b></p>
<p>The QES (Quantitative Execution Strategies) infrastructure supports the execution of cross-markets intraday trading strategies. It is a large growth area for JP Morgan's markets franchise, and will see significant additional investment over the next year to further our excellence in the business. The team's responsibility includes the design, build and support of the platform. The work requires close collaboration with our front office partners from sales, trading and quantitative research.</p>
<p><b>Job Responsibilities:</b></p>
<ul><li>Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems</li>
<li>Develops secure high-quality production code, and reviews and debugs code written by others</li>
<li>Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems</li>
<li>Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies</li>
<li>Acts as a front office developer within the QES technology team.</li>
<li>Collaborates closely with front office teams (trading, structuring) to support the QES platform.</li>
<li>Develops platform and visualization components required by the desk.</li>
<li>Utilizes principal technologies such as Java, Python and TypeScript (React) within the team.</li>
</ul><p><b>Required Qualifications, Capabilities, and Skills:</b></p>
<ul><li>Formal training or certification on software engineering concepts and proficient advanced experience</li>
<li>Hands-on practical experience delivering system design, application development, testing, and operational stability</li>
<li>Advanced in Python programming language</li>
<li>Excellent analytical skills (i.e. problem solving)</li>
<li>Experience in leading an agile delivery team leveraging scrum, sprint planning, retrospectives and reporting progress to senior stakeholders.</li>
</ul><p><b>Preferred Qualifications, Capabilities, and Skills:</b></p>
<ul><li>Experience of working in a front office environment within financial services</li>
<li>Knowledge of Java, Python, Typescript, React</li>
</ul><p></p><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>
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Senior Lead Software Engineer - Python / Java

Selby Jennings

<div>
 <p>
  Our client a quantitative and systematic hedge fund looking for a Cloud Engineer. This role sits within a globally distributed quantitative research and engineering organisation where you will design, build, and evolve advanced cloud platforms that power large‑scale modelling, complex data analysis, and high‑throughput experimentation. You will work directly with researchers and engineers to architect bespoke cloud environments, enabling rapid iteration, secure computation, and efficient scaling across a wide range of analytical workloads.
 </p>
 <p>
 </p>
 <p>
  The ideal candidate is a highly skilled cloud engineer with deep architectural experience, a passion for automation, and a strong understanding of modern research‑driven compute environments. You be comfortable owning end‑to‑end technical decisions, and enjoy building infrastructure that directly accelerates scientific and analytical innovation. This is a high‑impact role for someone who thrives in technically demanding, fast‑moving environments.
 </p>
 <p>
 </p>
 <p>
  Responsibilities:
 </p>
 <ul>
  <li>
   Design and deploy tailored AWS architectures that support high‑performance modelling, experimental workloads, and large‑scale compute pipelines.
  </li>
  <li>
   Collaborate closely with research, engineering, and data teams to build flexible, secure, and scalable cloud environments aligned with demanding analytical requirements.
  </li>
  <li>
   Ensure exceptional reliability, availability, and performance across compute, storage, orchestration, and monitoring layers.
  </li>
  <li>
   Automate cloud provisioning, configuration, and observability using modern IaC and DevOps practices to accelerate development cycles.
  </li>
  <li>
   Continuously refine and optimise cloud systems for scalability, cost‑efficiency, operational simplicity, and long‑term platform evolution.
  </li>
 </ul>
 <p>
 </p>
 <p>
  Requirements:
 </p>
 <ul>
  <li>
   Previous experience in cloud engineering or architecture experience with strong hands‑on expertise in AWS environments.
  </li>
  <li>
   Deep understanding of core AWS services including container orchestration, compute, storage, networking, monitoring, and identity/security services.
  </li>
  <li>
   Proven ability to design secure, resilient, and highly available cloud platforms for data‑intensive or compute‑heavy environments.
  </li>
  <li>
   Strong familiarity with DevOps and IaC tooling (e.g., Terraform), containerisation, Kubernetes, and modern cloud‑native patterns.
  </li>
  <li>
   Excellent troubleshooting, communication, and cross‑team collaboration skills, with the ability to operate confidently in fast‑paced technical environments.
  </li>
 </ul>
</div>


Cloud Engineer AWS

iSAM

<div>
 <p>
  <strong>
   About the Company:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  iSAM is an innovative, financial technology firm specialising in quantitative trading, comprised of iSAM Funds and iSAM Securities. iSAM Securities regulated by the FCA, SFC, and CTFC, and CIMA registered, is a leading algorithmic trading firm and trusted electronic market maker, providing liquidity, technology and prime services to institutional clients and trading venues globally. The firm offers full-service prime brokerage and execution via its cutting-edge proprietary technology, as well as market leading analytics, cleared through the group&rsquo;s bank Prime Brokers. iSAM Funds is an alternative asset manager specialising in systematic investing. Each strategy is unique, provides a specialist quantitative approach and is designed to deliver highly diversifying absolute returns for institutional portfolios.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We're looking for a highly skilled DevOps Engineer to join our DevOps Engineering team. You'll work on the infrastructure and delivery systems that quants, traders and developers rely on every day &mdash; where latency, reliability and security carry real financial weight. This is a hands-on engineering role with genuine ownership. You'll work directly with development teams to design, automate and optimise deployment workflows across a hybrid AWS and on-prem environment, building the tooling and platforms that let the rest of the firm move fast and safely. If you enjoy treating infrastructure as a product and want your work to have immediate, measurable impact, this is a role where you'll see exactly that.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You'll Do:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Architect, implement and manage scalable infrastructure across AWS and on-prem, applying cloud security best practices and cost-optimisation strategies.
  </li>
  <li>
   Design and maintain reusable Terraform modules for Infrastructure-as-Code, with a strong emphasis on consistency, testing and reuse across teams.
  </li>
  <li>
   Automate configuration management and system provisioning using Packer and Ansible.
  </li>
  <li>
   Build and own CI/CD pipelines for fast, reliable software delivery.
  </li>
  <li>
   Develop and maintain automation tooling and scripts, preferably in Python or Go.
  </li>
  <li>
   Deploy, manage and scale containerised workloads with Kubernetes and Helm, including authoring Helm charts, templates and pipelines.
  </li>
  <li>
   Run and improve our GitOps delivery model (ArgoCD, Atlantis, etc).
  </li>
  <li>
   Manage and tune OpenSearch clusters.
  </li>
  <li>
   Administer and optimise Linux-based systems for security, performance and reliability.
  </li>
  <li>
   Partner with developers to enhance tooling, streamline deployments and remove friction from the development experience.
  </li>
  <li>
   Troubleshoot and resolve infrastructure, deployment and application issues across the stack.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We're Looking For:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   5+ years architecting, implementing and managing scalable infrastructure on AWS.
  </li>
  <li>
   Strong networking fundamentals and a track record of diagnosing tricky networking issues.
  </li>
  <li>
   Solid experience with monitoring and logging tools (e.g. Prometheus, Grafana, ELK / OpenSearch).
  </li>
  <li>
   Comfort scripting and building automation in Python or Go.
  </li>
  <li>
   A pragmatic approach to balancing speed and accuracy when making technical decisions.
  </li>
 </ul>
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 </p>
 <p>
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 </p>
 <p>
  <strong>
   How You Work:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Clear communicator &mdash; you explain technical concepts concisely to technical and non-technical audiences alike.
  </li>
  <li>
   Adaptable &mdash; you adjust quickly to new technologies and unexpected challenges.
  </li>
  <li>
   Analytical &mdash; you break complex problems down logically and methodically.
  </li>
  <li>
   Collaborative &mdash; you prioritise team success over individual wins and support teammates as they learn and troubleshoot.
  </li>
  <li>
   Accountable &mdash; you follow through on commitments and own your mistakes.
  </li>
  <li>
   Proactive with a growth mindset &mdash; you take initiative, seek feedback, and continually look for ways to improve skills and workflows.
  </li>
 </ul>
</div>


DevOps Engineer

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