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Responsibilities Define and own the end-to-end network architecture across LAN, WAN (including SD-WAN), cloud (AWS/Azure), and data centre environments Translate business requirements into scalable, secure, and automated network designs Establish architectural standards, roadmaps, and best practices Lead network security architecture, including segmentation, Zero Trust models, and next-generation Firewall strategies Drive adoption of Network DevOps, automation, and Infrastructure as Code (IaC) Collaborate with internal teams and third-party providers to deliver integrated solutions Act as the senior escalation point for complex network and security issues Mentor and guide engineering teams, providing technical leadership Required Skills/Qualifications 8+ years in network engineering, including leadership or principal-level experience Strong expertise in routing and switching protocols (BGP, OSPF, MPLS, VXLAN) Deep understanding of enterprise networking (Cisco, firewalls, load balancers, SD-WAN) Strong cloud networking knowledge (AWS, Azure, VPCs, Transit Gateway, Direct Connect) Experience with network security architecture and Zero Trust frameworks Proven experience with automation and IaC (Terraform, Ansible, CI/CD pipelines) Strong documentation and design skills (HLDs, LLDs, Visio diagrams) Familiarity with ITIL processes in enterprise environments Desirable Skills CCNP/CCIE/CCDE CISSP, TOGAF, or SABSA AWS or Azure certifications Fortinet NSE or Palo Alto certifications Salary £400 per day

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the Team The Advanced Development team at Roku pushes beyond today's product lines to invent the next generation of intelligent and generative media systems. We explore ideas that sit years ahead of production, developing foundational technologies that will redefine how content is understood, created, and personalized across millions of Roku devices. This is a rare environment - a PhD-level, cross-disciplinary group combining machine learning research, software engineering, and DevOps. Everyone here is an expert, but not narrowly focused. The team blends deep technical mastery with broad creative vision - people who challenge convention, embrace ambiguity, and build what's never been built before. It's a collaborative, low-ego, ownership-driven culture built on trust and curiosity. We're seeking an Applied Scientist with a strong foundation in mathematics, machine learning, and computer science, combined with experience in cloud engineering, DevOps, and computer vision - someone who thrives where research meets production. About the Role As a Senior Applied Machine Learning Engineer, you'll help design, build, and deploy the systems that make media smarter. You'll work across the full model and software lifecycle, from prototype to production, developing scalable ML pipelines and cloud architectures that power generative AI, intelligent media understanding, content analysis, and advertising intelligence. You'll operate at the intersection of machine learning, infrastructure, and software engineering, taking ownership from data collection through deployment - and seeing your work directly influence how audiences experience Roku's content and advertising ecosystem. What You'll Be Doing Deploying scalable, fault-tolerant computer vision, media understanding, and generative AI systems to production Overseeing the full model development cycle: ideation, prototyping, implementation, deployment, testing, and operations Designing uncertainty metrics and communicating results to both technical and non-technical stakeholders Gathering and compiling datasets, defining annotation ontologies, auditing annotation operations, and ensuring data quality Staying up to date with industry and academic trends in computer vision, machine learning, and generative models for media and advertising Working closely with product and other engineering teams to implement new content and advertising experiences through cloud services Integrating services from other teams around the company, while also providing reusable ML services to others Evaluating and providing feedback on new platform technologies provided by internal teams Working with QA teams to address bugs and contribute to automation and quality assurance We're Excited If You Have A Master's degree (PhD preferred) in Computer Science, Applied Mathematics, or a related field Strong background developing applied machine learning systems using PyTorch or TensorFlow Expertise in image processing, computer vision, or natural language processing Experience using AWS, GCP, or Azure for storing data, training, and serving models Proven ability to evaluate models and communicate insights effectively Experience building APIs with frameworks such as GraphQL or REST Experience with workflow orchestration tools such as Airflow, Argo, AWS Step Functions, or Metaflow Hands on experience with Docker, Kubernetes, Terraform, CloudFormation, CI/CD automation, and Python build or packaging tools Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to .

Identity Systems Engineer (CyberArk) page is loaded Identity Systems Engineer (CyberArk)locations: UK - London ( St Botolph )time type: Full timeposted on: Posted Yesterdayjob requisition id: 2026-359Job Title: Identity Systems EngineerReporting to: Manager, Identity and Access ManagementPosition Type: Permanent, 35 hours per weekHybridOverview: Why Standing still is not an option in the current world of Insurance. TMHCC are one of the world's leading Specialty Insurers. With deep expertise in our chosen lines of business, our unparalleled track record and a solid balance sheet, TMHCC evaluates and manages risk like no one else in the industry. Looking beyond profit, empowering our people and delivering on our commitments are at the core of our customer values, and so is a desire to grow and provide creative and innovative solutions to our clients.Job Purpose:The Infrastructure Collaboration Engineering team is seeking a highly experienced Senior Identity & Privileged Access Management (PAM) Engineer with expertise in enterprise Identity and Access Management, with primary specialization in CyberArk.This role will serve as the technical lead and subject matter expert for Privileged Access Management (PAM), responsible for designing, architecting, implementing, operating, and maintaining CyberArk solutions integrated across Entra ID, Active Directory, and Okta environments.The ideal candidate will possess deep end-to-end identity expertise while maintaining advanced hands-on skills in CyberArk PAS, Privilege Cloud, EPM, Secrets Manager, and identity governance integration patterns.Key Responsibilities:CyberArk (Primary Skillset - Privileged Access Management)• Proven expert knowledge of CyberArk Privilege Access Security (PAS) and/or Privilege Cloud architecture, deployment, and administration • Design, implement, and maintain CyberArk Vault, CPM (Central Policy Manager), PSM (Privileged Session Manager), and PTA (Privilege Threat Analytics) • Manage safes, platforms, account onboarding, credential rotation policies, and access controls • Implement Just-in-Time (JIT) privileged access models integrated with Entra PIM and AD tiering • Secure and rotate domain admin, enterprise admin, service accounts, application accounts, SSH keys, and cloud credentials • Integrate CyberArk with Entra ID, Active Directory, and Okta for authentication and authorization workflows • Deploy and manage CyberArk Endpoint Privilege Manager (EPM) for least privilege enforcement • Implement CyberArk Secrets Manager / Conjur for DevOps and Kubernetes environments • Develop automation using REST APIs, PowerShell, and CyberArk tools • Design CyberArk disaster recovery and vault backup strategies • Integrate CyberArk logs with SIEM platforms and support audit/compliance requirements • Maintain alignment with Zero Trust security architecture principles • Stay current on CyberArk roadmap, new features, and evolving PAM security threats Entra • Proven expert knowledge of Azure Entra ID capabilities such as Conditional Access Policies, Privileged Identity Manager and Application Registrations, integrated with CyberArk privileged access controls • Strong understanding of PIM and the assignment of roles / IAM permissions on Management Groups, Subscriptions and Resources, aligned with Just-in-Time access principles • Azure Infrastructure Management to include user accounts, groups, conditional policies, Intune management, mobile device management, and endpoint security • Strong understanding of App registration, Enterprise Apps, SPN's and managed identities with the understanding of least privileged administration when it comes to MS Graph API allocation of permissions and secure credential storage in CyberArk • Strong understanding of multifactor authentication, SSPR and WHfB, ensuring secure privileged authentication workflows • Strong PowerShell scripting Skills, automation, and scheduling skills when working with data in Azure and integrating with CyberArk APIs • Good understanding of Intune polices management and autopilot • An individual that stays abreast of the latest Entra ID features, best practices, and security trends, and make recommendations for continuous improvement Active Directory • Strong background in Active Directory covering domains that span geo locations with numerous DCs and a user base of 5000+ • Strong understanding of DNS and GPOs, user object and OU administration • Solid understanding of Microsoft Tiering, IAM, and PAM concepts with CyberArk vaulting integration for Tier 0 accounts • Strong knowledge of server operating systems from Windows 2016 to Windows 2025 • Strong understanding of the FSMO roles when it comes to maintaining the security and the integrity of the domain • Strong understanding of the delegation of permissions across the domain OU structure aligned with least privilege principles • Strong PowerShell scripting skills, automation, and scheduling skills including AD account onboarding into CyberArk • Solid understanding of the recovery steps needed to recover a domain in the event of a disaster OKTA • Able to demonstrate a strong understanding of IAM concepts, including identity federation, SSO, SAML, OAuth, OIDC, MFA, role-based access control (RBAC), and least privilege principles, integrated with CyberArk privileged authentication workflows • Able to provide Okta subject matter expertise to a variety of program stakeholders on application integration, IAM functionality, and Okta's feature roadmap • Capable of designing and implementing Okta platform configurations to align with overall solution architecture and customer requirements while integrating CyberArk for privileged user authentication • Willing to collaborate with Solution Architects, other solution component SMEs and stakeholders to develop and refine solution requirements, ensuring secure and efficient access for on-premises and cloud-based applications and resources • Able to drive and support customer application integrations into Okta-based IAM solutions and align privileged access controls through CyberArk • Troubleshoot and resolve technical issues before, during and after application integration Skills and Experience Specification: Competencies Planning • Follow work plans, established timelines, and predefined goals for assigned work.• Meet commitments on deadlines. Communication • Communicate activities, results, and observations with employees and management as appropriate. Cost Management • Identify areas for improvement in existing business practices.• Perform work thoroughly in a cost-efficient manner and at a high productivity level. Business Controls and Policies • Comply with all corporate policies and procedures.• Report any breakdowns in controls to management.• Conduct all activities in a safe manner. People Management • No people management responsibility. Other • Excellent troubleshooting, architectural, and documentation skills• Knowledge and experience with Rubrik advantageous.• Microsoft, Azure or Okta certification are highly beneficial.Tokio Marine HCC is a leading specialty insurance group with offices in the United States, the United Kingdom, Europe, and other locations. With the strength and stability that comes from being a member of the Tokio Marine group, and more than forty years of growth, profitability, and stability, we offer important insurance products that most people do not even know exist.The Tokio Marine HCC Group of companies is an equal opportunity employer. Please visit for more information about our companies.

Software Developer - Equity Market Making Trading Platform London, GB Full-Time Information Technology About Marex Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across four core services: clearing, agency and execution, market making, and hedging and investment solutions. It has a leading franchise in many major metals, energy and agricultural products, with access to 60 exchanges. The group provides access to the world's major commodity markets, covering a broad range of clients that include some of the largest commodity producers, consumers and traders, banks, hedge funds and asset managers. With more than 40 offices worldwide, the group has over 2,300 employees across Europe, Asia and the Americas. Overview of Marex / Department description Marex has unique access across markets with significant share globally both on and off exchange. The depth of knowledge amongst its teams and divisions provides its customers with clear advantage, and its technology led service provides access to all major exchanges, order flow management via screen, voice and DMA, plus award winning data, insights and analytics. Role Summary We are seeking a senior Software Engineer to provide technical leadership, architectural authority, and hands on delivery across our Equity Market Making Trading platform. This is a high impact, regulated environment with distributed systems and DevOps practices. The role is designed for a senior engineer with leadership skills. Operating System, Cloud & DevOps: Windows and Linux experience, AWS (Lambda, ECS, RDS, SQS, S3, API Gateway, VPC, Terraform/CloudFormation), CI/CD (TeamCity/Octopus), Git workflows, Containers AI & Developer Productivity: Experience using AI assisted coding tools, including agentic AI platforms, for code generation, review, automation, and optimization. Regulatory Experience: Highly desirable in financial services or other regulated environments. Responsibilities Role specific: Own and evolve platform architecture across on premise and AWS cloud environments. Lead modernization initiatives: microservices, distributed systems, cloud native practices. Ensure scalability, resilience, performance, and security by design. Guide technical governance and engineering standards. Software Engineering Excellence Deliver high quality, maintainable, and secure systems. Promote coding standards, testing, code review discipline, and quality metrics. Lead technical delivery of complex initiatives, contributing hands on where strategic. Leverage AI assisted coding tools, including agentic AI, to accelerate development, enforce quality, and optimize software delivery. Technical Leadership & Mentorship Act as the senior technical authority within engineering. Mentor senior and mid level engineers, raising technical capability. Lead complex problem solving and critical incident resolution. Support hiring, technical evaluation, and team development. Operational & Delivery Accountability Maintain platform reliability, scalability, and operational stability. Own root cause analysis and remediation planning for incidents. Drive/engage in best practice project governance, e.g. Agile to deliver results and manage expectations. Embed observability, monitoring, and performance metrics. Collaborate with operations, compliance, and product teams to deliver business change safely. Strategic & Commercial Contribution Contribute to the technology roadmap and long term engineering strategy. Participate in governance forums, board reporting, and vendor selection. Communicate technical direction to senior stakeholders effectively. All staff: Ensure compliance with the company's regulatory requirements under the FCA. Adhere to the operational risk framework for your role ensuring that all regulatory or company determined parameters are complied with. Role model for demonstrating highest level standards of integrity and conduct and reflecting Company Values. At all times comply with the FCA's Code of Conduct. Ensure that you are fully aware of and adhere to internal policies that relate to you, your role or any other activities for which you have any level of responsibility. Report any breaches of policy to Compliance and/or your supervisor as required. Escalate risk events immediately. Provide input to risk management processes, as required. Competencies, Skills and Experience Technical authority and credibility with senior engineers. Strong communication and stakeholder influence. Calm, structured under pressure. Commercially aware and strategic thinking. Motivated to grow into a more senior Software Engineering role. Essential Skills and Experience 10+ years in software engineering. Proven track record designing and delivering scalable, distributed systems. Architectural ownership of complex platforms. Mentoring and leading engineering teams. Experienced in AI assisted development workflows. Experience of Capital Markets, especially Equity trading, FIX experience, market data and Trading UIs, is beneficial. Cloud native and DevOps expertise. Exposure to regulated environments preferred. Leadership potential with ability to assume Head of Software Architecture responsibilities. Influence enterprise scale regulated platforms. Hands on and strategic leadership. Exposure to roadmap planning, governance forums, and operational oversight. Modern AI assisted software engineering across the tech estate. Conduct Rules You must: Act with integrity. Act with due skill, care and diligence. Be open and cooperative with the FCA, the PRA and other regulators. Pay due regard to the interests of customers and treat them fairly. Observe proper standard of market conduct. Inclusive Employment Statement Marex is fully committed to being an inclusive employer and providing an inclusive and accessible recruitment process for all. We will provide reasonable adjustments to remove any disadvantage to you being considered for this role. We value the differences that a diverse workforce brings to the company. We welcome applications from candidates returning to the workforce. Also, Marex is committed to avoiding circumstances in which the appearance or possibility of conflicts of interest may exist within the hiring process.

Senior Data Platform Engineer 28 April 2026 London, UK An exciting opportunity has become available to be part of our fast growing team and to be a key part of the Technology & Innovation function. This role provides an outstanding opportunity to join a growing global integrated marketing advisory and will provide an ambitious individual with valuable experience for progression and development. The Company mediasense is a global, independent advisor that brings the clarity, connection and confidence modern marketers need to fuel growth. We help marketers eliminate waste and maximize the impact of their most significant investments at scale. Our ambition is to define and own an entirely new category - recognized as the world's most trusted, independent and impactful marketing advisor. We do this by elevating how clients operate, how agencies deliver, how platforms perform and how all parts of the ecosystem connect. Because progress doesn't happen in isolation, it takes alignment, intelligence and trust. That's what we enable. That's what we stand for. That's Unified Marketing Intelligence. mediasense is designed around how we help marketers optimize and transform through best in class structure and governance (Organization), partners and platforms (Ecosystem), governance and controls (Assurance), and measurement and effectiveness (Science). We have the proven ability to effectively support large, complex organizations and deliver multiple projects simultaneously. As evidenced through our strong track record with clients, we pride ourselves on the consistent high quality of service delivery and the ability to accelerate transformation and growth. mediasense has over 200 employees across London, New York, Singapore and New Delhi. For more information, visit What We Offer Hybrid working Initial 28 days holiday (before bank holidays) with an accrual of 4 days over first 4 years of service Day off for your birthday + 10 days annual leave purchase per year Length of service awards Work from any location in the world up to 4 weeks per year Bonuses: Discretionary company bonus scheme & new business bonus, employee referral bonus Pension & Group life insurance Private healthcare, enhanced parental, Employee assistance program Annual season ticket loan, Cycle to work scheme + Tech & voucher schemes Eye test & contribution towards glasses for VDU Charity Day plus fund raising events for charity Learning & development opportunities Frequent events; such as summer, winter & bi weekly socials Free fruit & snacks + building linked benefits such as being dog friendly, access to gyms & complementary gifts, classes or discounts The Role This role is for Data Platform Engineer, based in London. This role sits within our Data & Insights team, which provides the analytical infrastructure that underpins our advisory work. The team is building a modern data lakehouse on Snowflake, migrating legacy Alteryx and Tableau workflows into automated, versioned pipelines, and packaging outputs as software products with formal release cycles. We treat data engineering with the same discipline as product engineering: version controlled, tested, continuously delivered, and documented. The role itself will involve a range of activities including: Release lifecycle ownership (end to end): treat data products like software products by defining a clear release strategy (versioning, promotion through environments, rollback), and managing database/schema changes so delivery is predictable, low risk, and repeatable CI/CD, testing & Git workflow: build and maintain automated test and deployment pipelines; establish branching and PR review discipline; write unit, integration, and data quality tests as a matter of course (not an afterthought) Operational health of the data platform: own monitoring, logging, alerting, and incident response for data pipelines and platform services; administer and optimise Snowflake (compute, performance, cost management, and access controls) Legacy maintenance & migration (supporting responsibility): maintain and gradually migrate legacy pipelines and applications across Alteryx, AWS, and Azure into the core lakehouse platform Infrastructure, security & data governance: contribute to reproducible, auditable environment management (Terraform or equivalent); help define and implement access controls, secrets handling, and data governance guardrails across CI/CD, Snowflake, and cloud services so security and compliance are built in by default Interfaces, standards & collaboration: work with analysts and data scientists to define clean interfaces and data contracts; help establish and evolve shared engineering standards and ways of working so delivery is repeatable, low friction, and resilient Documentation & runbooks: maintain clear technical documentation, operational runbooks, and post incident learnings so knowledge is transferable and systems don't rely on tribal memory The Candidate This is a hands on role for someone who wants real ownership in a lean, fast moving team. You bring software engineering discipline as a default behaviour: you default to automation over manual process, you question un versioned or untested code, and you treat CI/CD, testing, and release management as core practice applied to data products. The ideal candidate will have the following: Required (core) General project management- ability to manage timelines, communicate to stakeholders, and deliver to scope CI/CD & release management - practical experience owning automated build/test/deploy pipelines (GitHub Actions or equivalent), environment promotion, rollbacks, and change control Python - fluent for automation and pipeline/tooling development; writes clear, maintainable, testable code Git workflow & code review discipline - comfortable establishing branching strategy, pull request practices, and merge standards so a small team can ship safely Testing & quality mindset - writes tests as a default (unit/integration/data quality) and understands how to make failures visible and actionable (e.g., pytest, dbt tests, Great Expectations or equivalent) Debugging, troubleshooting & maintainable architecture - comfortable finding root causes in production issues; has opinions on how to structure a codebase that three people can work in without stepping on each other; values documentation and runbooks Required (domain) Snowflake - hands on with data modelling, SQL optimisation, compute management, and access controls dbt - production experience building and deploying models, tests, macros, and documentation Desirable AWS and/or Azure - comfortable navigating cloud environments to maintain and progressively migrate legacy workloads Orchestration - Airflow, Prefect, Dagster, or equivalent Infrastructure as code - Terraform or similar Data governance & observability - lineage, data quality frameworks, access policy, and monitoring/alerting practices Strong academic background in computer science, engineering, mathematics, or a related discipline preferred. More important than credentials: direct ownership, clear communication about what you know and don't, and code you're proud to have the next person read. Every application is reviewed by a human on our team (not AI), so it may take us a bit of time to get through them. Because of the large number of applications we receive, we're not always able to reply to everyone individually especially via messages but we truly appreciate your interest. Please note that we can only consider candidates who already have the right to work in the UK and do not require, now or in the future, visa sponsorship.

Senior Python Engineer Department: Global Security Services Employment Type: Permanent - Full Time Location: UK - London Description Working within our Cyber Data Services team, which is at the core of our Proactive Insurance product offering and CFC's promise to protect our policyholders from existing and emerging cyber security vulnerabilities and threats. You will play a key role in developing the company's competitive advantage in aggregating, presenting, and analysing large datasets. You will contribute to the development of our proprietary data platform and work to solve problems that are key to protecting our policyholders. Your contributions will have a material impact on the business as a whole where you will be expected to play a role designing and implementing new data capabilities (ingesting large datasets, building robust & high-performance APIs, consuming high-frequency event streams), as well as improving the quality of our existing products and solutions. About the role In this role, you'll work across CFC's modern technology stack, contributing to solutions built with Python, Linux (via WSL), PostgreSQL, SQL Server, Databricks, and cloud infrastructure spanning both Azure and AWS. A core part of your work involves designing and implementing advanced data ingestion and transformation pipelines, as well as orchestrating large-scale, parallel network I/O processes. You'll collaborate closely with engineering and infrastructure teams to maintain and enhance Infrastructure as Code, helping develop new features for CFC's Engineering Platform. Working with peers and data customers, you'll model data for both operational and analytical use cases, contributing to the evolution of a data mesh architecture across the wider enterprise. Ensuring high-quality data is a key focus-supporting data quality metrics, evaluating new data sources, and improving overall data reliability throughout the estate. Quality and automation are central to the role. You'll help strengthen CI/CD processes to support efficient, bug free releases and maintain clear, accessible technical documentation. You'll also contribute to test automation, assess application security against CFC standards, and ensure APIs comply with relevant internal guidelines. Beyond technical delivery, you'll be part of a pairing first, collaborative engineering culture-sharing knowledge, learning from colleagues, and supporting less experienced team members through mentoring, design reviews, and code reviews. You'll actively participate in open, honest discussions about design decisions and help foster a safe, constructive working environment. About you This role calls for someone with strong Python expertise, ideally across PostgreSQL, SQL Server, and Databricks, and who is fully comfortable working without an ORM. You should be confident operating with data at scale and enjoy a command line-driven workflow using tools like git, bash or zsh, and optionally vim. A background-formal or practical-in Computer Science, Software Engineering, Logic, Applied Statistics, Actuarial Science, Data Science, or a related discipline will further strengthen your foundation for success. You'll bring the ability to clearly grasp and articulate technical solutions, adapting your communication style for both technical and non technical audiences. Applying agile principles intelligently will be a natural part of how you work. You should also be comfortable interrogating and presenting data, and willing to showcase analytical outcomes on behalf of your team. Finally, the role requires demonstrable experience as a senior software engineer with a strong emphasis on Python. You'll combine hands on development capability with strong analytical thinking and the communication skills needed to advocate for high quality engineering practices.

About Cryptio Cryptio is the leading enterprise-grade financial data transformation and digital asset ERP platform for accounting, financial reporting, tokenization compliance, and loan management solutions. It is a complete back and middle-office platform that delivers financial integrity and accountability for businesses in crypto. Its platform allows users to transform on-chain and off-chain crypto activity into auditable records for accounting, treasury, tax filings, license applications, loans activity, and regulatory reporting. Having recently announced our $45m series B, now couldn't be a better time to join! The opportunity We're hiring a Senior Rust Engineer to our Accounting squad to lead the technical development powering cost basis and PnL computations, staking, derivatives, accruals, and high-volume reporting pipelines. In this role, you'll tackle complex accounting challenges at the forefront of digital assets and traditional finance. You'll build the backbone for regulatory compliance, reporting, and audit readiness in the crypto sector, making a measurable impact for the world's most innovative financial players. Key technologies Rust TypeScript PostgreSQL, Cassandra, ClickHouse, ScyllaDB AWS, EKS, Docker, GitLab, Pulumi What you'll do Lead the development of core systems for Cryptio's SaaS accounting platform, ensuring robust and scalable customer workflows Architect, optimise, and maintain data-heavy solutions for financial reporting, reconciliation, and ledger automation Collaborate with staff engineers, product, and other teams to deliver features aligned with customer and business needs Identify, troubleshoot, and proactively resolve performance issues at scale Mentor and support the growth of engineers across the squad Contribute to codebase reliability by documenting best practices and enabling knowledge sharing across the company We're looking for someone who Ships production software in Rust; owns systems end to end Cares deeply about performance, correctness, and trade-offs Builds and debugs data-intensive, performance-critical systems Interested in crypto and financial/accounting systems Experience with relational databases such as PostgreSQL Communicates clearly in English; collaborates well with other engineers Mentors, reviews code, and shares technical context Thinks analytically; motivated to build core crypto-finance infrastructure Why you'll love this role Own the development of mission-critical infrastructure in a fast-evolving industry Collaborate with a team of highly skilled engineers and cross-functional partners Work with cutting-edge technologies in cloud-native, data-heavy environments (Rust, TypeScript, ClickHouse, AWS) Freedom to experiment and drive architecture decisions impacting the entire product Interview process Here's what you can look forward to as we get to know each other: Talent Screen (15-30 min): We'll start with a video call to discuss your application, the role, and answer your questions about Cryptio. Technical Interview (60 min): You'll meet with a tech lead for a detailed technical discussion. Team Interview (45 min): Meet a product manager and an engineer to get to know your potential teammates. CTO Interview (45 min): Finish with a conversation with our CTO about your experience and fit for the role. Perks Remote or Hybrid working 25 days paid holiday plus bank holidays One additional day of annual leave each year, up to 30 total days Your birth off Mental health resources, wellbeing programs, and professional coaching Family-friendly policies Fitness and wellness budget MacBook Pro $200 home office setup budget Training and development budget we have additional benefits depending on location If this sounds like you, we would love to hear from you At Cryptio, we move fast and take ownership of outcomes. We learn from failures, celebrate wins, and let humility, curiosity, and a passion for crypto guide how we work. If you value collaboration and want to build with purpose, you'll feel right at home here.

Senior Systems Engineer (AWS)Applylocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: R112392 Senior Systems Engineer (AWS) Are you confident leading the design and improvement of cloud-based systems, translating complex technical challenges into scalable, reliable solutions? Do you have experience driving system reliability, incident management and continuous improvement in AWS or similar environments? Location Remote About the team A&G, STMJ Technology is a global team that builds and runs the platforms and services behind Elsevier's research and academic products. Within this, the Platform Engineering team-part of Operations-focuses on keeping our cloud environments reliable, secure and performing at scale.The team works closely with engineering and support teams to monitor systems, respond to incidents and continuously improve how our platforms run. Led by the Platform Manager and aligned to the wider technology organisation, the team plays a key role in supporting day-to-day operations while helping drive improvements across our AWS environment. About the role As a Senior Systems Engineer, you will play a key role in operating, maintaining and improving our AWS-based environments, ensuring systems are reliable, secure and scalable. You will take a proactive role in identifying risks, resolving complex issues and driving system improvements that enhance performance and resilience.Working closely with engineering, support and platform teams, you will contribute to system design, automation and infrastructure as code, helping to build efficient and well-managed cloud environments. You will support incident response and recovery, while also improving monitoring, alerting and operational practices across the platform.You will combine technical expertise with a practical, problem-solving approach to deliver continuous improvements and support the long-term scalability of our platform services. Key Responsibilities • Monitor system health and proactively manage risks to performance, stability, and security• Diagnose and resolve complex system and performance issues• Design and implement system improvements, configurations, and automation• Support change management processes and impact assessments• Develop infrastructure as code and automation scripts• Collaborate with cross-functional teams and partners• Share knowledge and support team development• Improve monitoring, alerting, and reporting practices• Support incident response and recovery readiness• Contribute to scalability and capacity planning• Apply security best practices• Maintain clear documentation Skills & Experience required: • Experience with cloud-based platforms and AWS services (e.g., EC2, S3, RDS, IAM, EKS)• Familiarity with Linux/UNIX systems• Experience with scripting or automation (e.g., Bash, Python)• Understanding of DevOps and infrastructure as code practices• Familiarity with Terraform, CloudFormation, or CI/CD pipelines• Experience with monitoring tools (e.g., CloudWatch, New Relic)• Knowledge of security, backup, and disaster recovery practices• Strong problem-solving and communication skills• Experience supporting system reliability and incident management• Interest in mentoring and knowledge sharing If you are interested in the role, please apply with a cover letter and CV. Work in a way that works for you We promote a healthy work/life balance across the organisation. With an average length of service of 9 years, we are confident that we offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working in a hybrid way from both the office and at home Working flexible hours - flexing the times you work in the day Working with us We are an equal opportunity employer with a commitment to help you succeed. Here, you will find an inclusive, agile, collaborative, innovative and fun environment, where everyone has a part to play. Regardless of the team you join, we promote a diverse environment with co-workers who are passionate about what they do, and how they do it. Working for you At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Long service awards Save As You Earn share option scheme Travel Season ticket loan Maternity, paternity and shared parental leave Access to emergency care for both the elderly and children RE CARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts via Perks at Work About Us A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

Network Engineer (Security & Cloud) Birmingham / Solihull (Hybrid - 1 day onsite) Up to £59,000 + On-call Allowance A growing organisation is looking for an experienced Network Engineer to join a small, high-impact IT team, supporting both ongoing operations and key infrastructure projects. The Role This is a hands-on engineering position with a strong focus on network security, cloud networking, and project delivery. You'll play a key role in modernising the network estate, including data centre migration and expansion into AWS, alongside the evolution of wireless infrastructure. The role is 60% project-focused / 40% BAU, offering a good mix of transformation and operational responsibility. Key Responsibilities Manage and support core network infrastructure (Cisco stack) Lead on Fortinet firewall management and network security Support and develop Cisco wireless and Meraki environments Contribute to cloud networking (AWS / Azure) initiatives Support data centre migration projects and cloud expansion Drive network automation and continuous improvement Provide support as part of an on-call rota (remote response where possible) Key Skills & Experience Strong experience with Fortinet Firewalls (essential) Experience with Cisco networking (routing, switching) Exposure to Cisco Wireless and/or Meraki solutions Experience with cloud networking (AWS and/or Azure) Understanding or exposure to network automation Solid troubleshooting and operational support capability Desirable Broader network security experience Experience with hybrid / cloud transformation projects Scripting or automation tooling exposure Team & Environment Small team of 4 engineers (including part-time senior support) Opportunity to take on increased ownership following recent team changes Collaborative environment with strong project pipeline What's on Offer Opportunity to work on modernisation and cloud expansion projects Strong mix of project work and technical delivery Flexible hybrid working (1 day per week onsite) On-call allowance and additional benefits Ideal Background You'll likely come from a network engineering background, with strong experience across network security and Cisco environments, and be looking to expand further into cloud networking and automation.

We're looking for an AI Engineer who can take end to end ownership of features: from wrangling messy data, to building robust RAG pipelines, to shipping reliable APIs into production. You'll sit between "wrapper dev" and "researcher": comfortable with Python, data, and modern LLM tooling, and sceptical enough about AI outputs to keep our systems safe and accurate. Ideally, you have experience in agentic frameworks, some software development and strong desire to learn. Key responsibilities include: Design, build, and maintain Retrieval Augmented Generation (RAG) pipelines over unstructured data (PDFs, HTML, emails, transcripts, APIs) using embeddings, vector databases (e.g. Pinecone, Weaviate, Qdrant), and Graph Databases (PuppyGraph, Neo4J, TigerGraph, ArangoDB, etc). Implement and tune chunking strategies to preserve context and improve retrieval quality, rather than naïve fixed length splits. Integrate LLMs (OpenAI, Anthropic, open source) via SDKs/HTTP, handling context windows, rate limits, retries, timeouts, and graceful degradation. Experience with AI coding tools: Cursor, Windsurf, etc. Someone who can look to remove the 'vibe' from 'vibe coding', and call out AI when it produces poor code, based on their human coding experience. Leverage AI-assisted development (e.g., Cursor/Windsurf/GitHub Copilot/LLM agents) to create production quality software faster - generating scaffolding, tests, and documentation - while applying rigorous human review for correctness, security, and maintainability. Architecture & Agentic Systems Designing multi agent / "agentic" workflows where specialized AI agents coordinate (triage, research, drafting, review) to solve complex tasks. Experience with conversation state management, tool routing, and designing robust hand offs between agents/services. Security, governance & ethics Implementing prompt injection defences, output filtering, role/permissioning, and safe tool use patterns. Knowledge of data privacy and governance concerns around AI (GDPR, SOC2) and experience with dataset auditing / fairness evaluation is a plus. Experience fine tuning or adapting open source models (e.g. Llama, Mistral) and managing training/inference pipelines. Comfort experimenting with new architectures and tooling and evaluating trade offs vs. hosted APIs. Build ETL jobs and ingestion scripts to clean, normalize, and enrich text data (Python, pandas, BeautifulSoup or equivalent). Work with both SQL and vector stores; design schemas and indices that support low latency semantic and hybrid search. Design, iterate, and version prompts (system, user, tool) using techniques like few shot examples and chain of thought to improve reliability on complex tasks. Own evaluation (evals) for your features: create test sets, define success metrics (accuracy, faithfulness, latency), and run regression tests before and after changes (e.g. Ragas or custom eval harnesses). Monitor production behaviour, debug hallucinations, and systematically reduce failure modes through better retrieval, prompting, and guardrails (not just "tweak the temperature"). Backend integration & APIs Build and maintain typed, well tested backend services (e.g. Python with FastAPI/Flask; Node/TypeScript as a plus) that expose AI capabilities to front end and internal consumers. Implement observability for your services (logging, metrics, tracing, token usage) and contribute to dashboards for reliability and costs. Work closely with product, design, and ops to scope AI features, translate fuzzy requirements into concrete technical plans, and iterate based on user feedback. Take end to end ownership of projects: from prototype through to production, maintenance, and continuous improvement. Other Be responsible for ensuring all information security processes, policies and procedures are adhered to and any issues or concerns are raised with the Cyber Security team. Ensure full compliance with all local data protection regulations and privacy controls, and any related issues are raised via the appropriate channels. Key Requirements Technical Keeps up to date with the latest developments in AI and loves to experiment with new models. Bachelor's or Master's degree (preferred) in Computer Science, Artificial Intelligence, Data Science, or a related field - including formal AI/ML study (e.g., machine learning, deep learning, NLP, statistics) or equivalent professional training/portfolio. Nice to have: Experience with Microsoft Power Platform (Power Automate, Power Apps, Dataverse) and/or Azure Logic Apps for workflow automation and integrating AI services into business processes. Previous experience in investments/ finance sector or autonomous systems is a plus. Experience in: Natural Language Processing (NLP), Computer Vision, Reinforcement Learning, Generative AI (e.g., GPT, Stable Diffusion). Approximately 3+ years professional software engineering experience, including 1-2 years building production AI/ML or LLM based systems. (Strong non traditional backgrounds with equivalent portfolio are welcome.) Expert proficiency in Python for backend and data work (typing, async, packaging, testing, performance profiling); familiarity with TypeScript/Node/React is a strong plus. Hands on experience with at least one orchestration framework (e.g. LangChain, LlamaIndex, etc.). Practical experience implementing RAG: embeddings, vector databases (Pinecone, Weaviate, Milvus, Qdrant, etc.), and semantic search. Comfortable with SQL and working with pandas/DataFrame style data manipulation. Experience building and deploying APIs/microservices (REST, JSON, auth, rate limiting, pagination, error handling). Nice to have: Strong understanding of AI infrastructure for scalable model serving, distributed training, and GPU orchestration. Solid software engineering fundamentals: testing, code reviews, version control (Git), CI/CD, and basic cloud services (AWS/GCP/Azure). Nice to have: Experience with IAC tools like Terraform and Crossplane. Rapidly prototype AI solutions, test emerging tools, and recommend best practices for adoption. Knowledge of MCP (Model Context Protocol) is a plus. Ability to explain complex AI concepts simply to stakeholders. Working understanding of how LLMs behave in practice: context windows, tokens, temperature/top p, hallucinations, and prompt injection risks. Familiarity with core concepts: embeddings, vector similarity, Transformers at a conceptual level (you don't need to derive attention, but you should know what it does). Demonstrated experience shipping production AI feature (e.g. RAG chatbot, summarization/search assistant, agentic workflow, etc.). Portfolio or GitHub strongly preferred. Strong problem-solving skills with ability to translate business needs into AI solutions. Evolve with AI - you realise we are universal learners, always and forever improving and pushing the next frontier. 'Fail fast' - looking to have someone who experiments quickly and learns even quicker! "AI scepticism": you use AI tools for speed but verify outputs and design systems assuming models will sometimes be wrong. Product thinking: you care about UX quality, not just whether the API returns 200. Ability to work with ambiguity, learn new tools quickly, and keep up with a fast moving AI ecosystem. Partners Capital is committed to being a great place to work. We are focused both on wellbeing and professional growth. You can expect professional development and career progression opportunities, competitive compensation, exceptional benefits and a flexible "results-focused" working model. Our benefits package includes private medical and life insurance, income protection and pension contributions. In addition, we partner with organisations to provide wellness benefits. Partners Capital supports global philanthropy via a charity program and provides a volunteer day for all employees. We also champion a variety of social events.