225 jobs found

About HelmGuard We're building agent-native risk infrastructure: risk management and trust building, delivered by AI agents, for a world increasingly run by them. As more decisions and transactions run through agents, the volume of risk to manage and trust to establish is growing very fast. Today both functions are fragmented, split across internal teams, point products, and outside consultants, and rebuilt from scratch whenever someone needs an answer. HelmGuard brings them onto one platform and runs them continuously: our agents sit on top of proprietary data and reassess as conditions change, rather than at fixed checkpoints. So our customers spend their time deciding and acting on what matters, not assembling the evidence to get there. Hundreds of billions of dollars are spent across risk management and trust building annually. These funds are going to be reallocated to agent-native solutions in the next five years, and we will capture that spend. We've grown to seven-figure revenue within months of product launch, on the back of multi-year contracts with leading enterprises in financial services, regulated technology, and healthcare. Our founders come from Palantir and academic institutions: Oxford, Stanford, and ETH. We're backed by leading UK and US institutional investors and exceptional angels from Meta, Isomorphic Labs, Palantir, SpaceXAI, and more. We're hiring across founding-team roles for people who want outsize impact, the influence over direction and culture that comes only from joining this early, and pre-Series A equity upside. Your Impact Your work decides which customers HelmGuard can win at all. You own that layer. You'll build the platform that makes our AI-native services thesis real: agents that don't assist with workflows but become the system of action for them. The Role You build the backend services at the core of HelmGuard, and you own the foundations on which they run. Most engineers can ship a service; you're the one who also knows how it should be deployed, isolated, observed, and secured in a multi-tenant enterprise environment. That combination is rare, and it's exactly what we need as the platform becomes load-bearing for regulated customers. What You Will Do Build and own backend services across the platform, APIs, async workflows, and data models with the same care you bring to the infrastructure under them Shape our Azure foundations: Container Apps, Service Bus, Front Door, Entra ID, all under Terraform Design multi-tenant isolation patterns across compute, data, and network layers - at the service layer and the infra layer Own the deployment pipelines, observability stack, and on-call posture as the platform scales Build the platform capabilities the rest of the team depends on: long-running agent jobs, large document processing, secure tool execution Drive compliance evidence automation and the broader compliance plumbing Build up internal skill files, scripts and tools to allow others to easily develop new features whilst keeping the platform secure and reliable What You Bring 6+ years of backend engineering, with deep infrastructure experience - you ship services, and you own how they run Significant Azure time (AWS or GCP is fine if you'll ramp on Azure fast) Strong in a backend language - TypeScript ideally, or an adjacent one with an appetite to switch Production IaC (Terraform), CI/CD (GitHub Actions or similar), and container orchestration Strong security posture: IAM, network segmentation, secrets, supply chain End-to-end compliance ownership (SOC 2, ISO 27001, or similar): designing the controls, not just answering about them Operational maturity: you've been on-call for systems that mattered Nice to Have AKS, Service Bus, or Front Door at scale Multi-tenant SaaS isolation experience Running infrastructure for an audit-sensitive product Working at HelmGuard Location. King's Cross, London (Gridiron building). We're built around in-person collaboration and expect most days to be in-office, with flexibility for the days that need it. Compensation. Top decile for the London market, with meaningful EMI eligible options. Perks. Daily team lunch and specialty coffee, a roof terrace overlooking King's Cross, on site showers for those who enjoy active commuting, and serious per engineer AI tooling and API budgets. Tech Stack. TypeScript, Node.js, React, Tailwind, OpenAPI, Express, Azure (Container Apps, Service Bus, Front Door, Entra ID), Postgres, Terraform, GitHub Actions, Docker. Anthropic first AI with in house evals and scaffolding. Claude Code throughout.

You'll be the hands on security engineer embedded with the Institutional Trading and Financial Operations (FinOps) team. Your focus is the secure operation of off chain trading processes and infrastructure that empowers our institutional business: integrations, signing flows, key custody interfaces, middle office workflows, order routing and settle pipelines that handle significant capital. You will support risk assessments, operating controls, automation to detect operational anomalies and remediation coordination. This is a high visibility role where you will focus on operational security engineering-ensuring that the tools and processes our traders use are resilient against both external threats and internal errors. This role does not require smart contract auditing. What You Will Do Partner with Trading, Middle Office and Quant (Institutional FinOps) teams to map out inventory trading systems, data flows, third party integrations and custody/settlement touchpoints. Conduct deep dive assessments mapping critical assets and workflows to identify structural vulnerabilities. You will be responsible for defining the Target State and drafting the strategic Risk Treatment Plans (RTP) required to meet institutional grade standards (e.g., CCSS, NIST, DORA). Act as the primary security liaison for Senior Management and third party vendors. You will translate complex technical gaps into actionable business risk summaries, drive vendor evaluations for core security infrastructure, and manage the project lifecycle for high impact posture uplifts. Implement and maintain monitoring for FinOps specific security signals such as abnormal order patterns, signature misuse, unusual settlements. You will integrate these signals into our SIEM/SOAR for real time response. Support secrets and key management hygiene. You will ensure app/service keys are stored in KMS/Vault, scoped to least privilege and rotated automatically to prevent credential leakage. Assist product security in triage of SAST/SCA findings for FinOps related repositories. You will help implement CI checks and remediation playbooks. Participate in incident exercises, post incident reviews and remediation tracking for trading incidents. Document controls and produce concise risk summaries for FinOps leads and the Security. What You Will Need 5+ years in security engineering, platform security, or application security experience. Proven expertise in Threat Modeling. Ability to perform structured reviews (e.g., STRIDE) of complex data flows and operational processes. Experience with observability and detection tooling (SIEM, logs, metrics) and ability to write basic detection rules. Practical experience with KMS/HSM, secrets management platforms (Vault, 1Password, AWS/GCP KMS), IAM patterns and least privilege. Exceptional ability to translate "Technical Debt" into Business Risk for C suite stakeholders (CFO, CTO, Head of Trading). Ability to raise, read and audit Pull Requests in at least one language used in our stack (TypeScript, Java/Kotlin, Python). Experience conducting technical due diligence and scoping for third party security integrations. Nice to Have Familiarity with trading systems or financial operations (market making, execution, settlement) or close collaboration background with trading/quant teams. Exposure to blockchain on chain concepts (wallets, addresses, transactions) but no requirement to audit contracts. Familiarity with SOC operations, and post incident forensic analysis. Familiarity with SOC2, ISO 27001, or financial audit requirements Any relevant industry certification Blockchain is committed to diversity and inclusion in the workplace and is proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, religion, color, national origin, gender, gender expression, sex, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, and apprenticeship. Blockchain makes hiring decisions based solely on qualifications, merit, and business needs at the time. You may contact our Data Protection Officer by email at . Your personal data will be processed for the purposes of managing Controller's recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of Regulation (EU) 2016/679 (General Data Protection Regulation) as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller's behalf. Accordingly, if you are located outside of the United States, your personal data will be transferred to the United States once you submit it through this site. Because the European Union Commission has determined that United States data privacy laws do not ensure an adequate level of protection for personal data collected from EU data subjects, the transfer will be subject to appropriate additional safeguards under the standard contractual clauses. Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Under the GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability. In addition, you may lodge a complaint with an EU supervisory authority.

Salary up to: CompetitiveSoftware EngineerThe RoleWe are looking for a Software Engineer to join the Accounting, Banking & Property (ABP) team within Nando's UK & Ireland Technology function.This role will contribute to the delivery of new projects while also helping to strengthen the reliability, maintainability, and observability of existing systems through improved monitoring, alerting, automation, and testing practices.You will work closely with Finance, Property, Sustainability, and Technology teams to build and support scalable solutions that improve operational efficiency across the business.Our Values at Nando'sAt Nando's, our values shape the way we work, collaborate, and grow together:Pride - We take pride in everything we do, from the quality of our work to the experience we create.Passion - We care deeply about our people, our customers, and delivering meaningful impact.Courage - We challenge the status quo, embrace innovation, and are not afraid to try new ideas.Integrity - We do the right thing, acting honestly and responsibly in all that we do.Family - We support one another, celebrate individuality, and work together as one team.About the ABP TeamThe Accounting, Banking & Property (ABP) team supports Nando's Finance and Property departments by maintaining and administering key integrations with third-party platforms including:RydooUnit4 FinancialsMediusAnaplanThe team also owns and maintains a financial data lake and associated pipelines responsible for processing and storing finance and property-related data.FinanceOur mission within Finance is to modernise and transform financial processes through a combination of in-house engineering and strategic third-party integrations.Property & SustainabilityWithin Property and Sustainability, the team supports initiatives focused on operational efficiency, sustainability, and long-term business improvement.Technology StackOur technology stack primarily consists of:Backend: Golang and PythonFrontend: TypeScript with Next.jsCloud Platform: Google Cloud Platform (Cloud Run)Infrastructure as Code: TerraformKey StakeholdersYou will work closely with stakeholders across the business, including:Finance teams (Cash & Banking, Purchase Ledger, Expenses, etc.)PropertySustainabilityHead of Technology & EngineeringThird-party suppliers and partnersRestaurant operations teams across the wider businessResponsibilitiesAs a Software Engineer within the ABP team, you will have the opportunity to work across a broad range of products and services that support the efficient operation of the Nando's restaurant business.Key responsibilities include:Designing, building, and maintaining scalable software solutions and integrations.Contributing across the full software lifecycle - from inception and design through to deployment, operation, and continuous improvement.Developing backend services, APIs, data pipelines, and user interfaces.Supporting infrastructure and deployment automation practices.Monitoring system health, availability, latency, and operational performance.Improving reliability through automation, alerting, observability, and testing.Participating in incident response and contributing to blameless postmortems.Collaborating with stakeholders to understand and solve business challenges.Promoting engineering best practices and sustainable development approaches.Supporting a "you build it, you run it" engineering culture.Skills & Experience RequiredStrong proficiency in one or more of the following languages:GolangPythonTypeScriptProven experience working as a Software Engineer in a commercial environment.Experience working within Agile delivery teams and practices.Strong problem-solving and analytical skills.Excellent communication skills with the ability to work effectively with both technical and non-technical stakeholders.Ability to troubleshoot, debug, optimise code, and automate routine processes.Interest in designing, analysing, and supporting distributed systems.A proactive mindset with strong ownership and accountability.Desirable SkillsExperience writing and maintaining automated test suites.Experience with Terraform and Infrastructure as Code.Experience deploying and operating cloud-native applications, ideally within Google Cloud Platform (GCP).Familiarity with monitoring and observability tooling.Why Join Nando's?At Nando's, technology plays a critical role in helping us deliver great experiences to our customers and teams. You'll be joining a collaborative engineering environment where you can make a meaningful impact across the business while working with modern technologies and passionate people.

About us: Spectrum.Life is a whole-of-health digital partner that guides organisations and their people to thrive, delivering clinically backed digital health, mental health and wellbeing solutions. Our HealthTech delivers digital transformation for Insurers, Educators and Employers through Co-creation or seamlessly integrated out-of-the-box solutions, that decrease digital fragmentation and engage, empower, and transform their people's lives. Established in 2018 by Stuart McGoldrick and Stephen Costello, Spectrum.Life provides services internationally to over 7.2m insurance members, 3,000 corporate clients, 60 universities and 650,000 university students. Spectrum.Life currently employs over 450 people. Our vision is to change and save as many lives as possible. Role Brief: We are seeking an experienced and forward thinking DevOps Lead to own the infrastructure, security, and continuous delivery pipelines that form the backbone of our AI driven projects. This is a critical, hands on role where you will be responsible for building and maintaining a resilient, secure, and highly automated environment across our cloud platforms. You will be the designated expert for all things related to infrastructure and DevOps. Your deep understanding of cloud architecture, security principles, and CI/CD will ensure our engineering teams can build and release software quickly, safely, and efficiently. If you are passionate about automation and leveraging AI to create intelligent, self healing systems, we want to hear from you. Responsibilities: Cloud Infrastructure & Automation Architect, build, and manage scalable and secure infrastructure on AWS using Infrastructure as Code principles, primarily with Terraform. Develop and maintain bespoke automation scripts to accelerate project setup, on demand environment creation, and other operational tasks. Champion and implement solutions like LocalStack to streamline local development and testing workflows for engineers. Provide expert guidance on systems architecture, ensuring our infrastructure is designed for performance, scalability, and resilience. Collaborate with engineering teams to manage and automate the infrastructure for our services, including APIs and databases, ensuring their performance and reliability. CI/CD & Release Management Develop and improve CI/CD pipelines using GitHub Actions, from code commit to production deployment. Integrate and manage automated testing, dependency updates, and security scans within the pipelines to ensure code quality and security. Empower engineers with the tools and automation needed to reduce friction, manage technical debt, and focus on building great products. Define and continuously improve our release processes, ensuring smooth and predictable deployments. Security & Compliance Act as the subject matter expert for security, compliance, and data flows within our cloud infrastructure. Implement and manage security best practices and automated tooling (SAST/DAST, dependency scanning) to protect our applications and data. Oversee the security and compliance of AI related data flows, ensuring that any data sent to third party services is minimized, anonymized, and explicitly not used for external training purposes. Ensure all infrastructure and processes adhere to legal and regulatory requirements, maintaining customer trust and data privacy. Observability & Incident Management Implement and manage a robust observability strategy using tools like Sentry, Datadog, and native cloud services. Configure critical alerting and monitoring (e.g., AWS CloudWatch Alarms) and integrate them with notification services to ensure rapid response. Lead the incident management process for infrastructure related issues, with a focus on root cause analysis and proactive prevention to minimize hotfixes. Champion the use of AI in operations, exploring and implementing tools for anomaly detection, predictive analysis, and automated remediation. Collaborate with our existing core infrastructure engineer on business as usual projects to ensure strategic alignment across the company, while maintaining a primary focus on AI project initiatives. Requirements: Proven experience in a DevOps/Infrastructure Engineering role with a focus on automation. Proficiency in managing cloud infrastructure on AWS. Experience supporting infrastructure for ML/AI projects (MLOps) is highly desirable. Deep, hands on experience with Infrastructure as Code using Terraform. Hands on experience with containerization technologies (Docker, Kubernetes) and networking (VPCs, Load Balancers). Expert level knowledge of building and managing complex CI/CD pipelines, with a strong preference for GitHub Actions. Strong understanding of system architecture, security best practices, and compliance standards. Comfortable with scripting languages (e.g., Python, Bash) to build automation and tooling. Experience with the operational lifecycle of APIs and databases from an infrastructure perspective. Hands on experience with modern observability and error tracking tools such as Sentry, Datadog, Prometheus, or Grafana. You have a deep technical curiosity and a passion for automation. You act as a force multiplier, empowering the engineering team with the tools and processes they need to succeed. You take complete ownership of your domain and are a reliable partner to the engineering teams you support. You are a strategic thinker who can balance speed and safety, enabling developers to move fast without compromising on security or stability. You are a strong communicator who can explain complex technical concepts to a variety of audiences. You are proactive in identifying potential issues, reducing technical debt, and improving the overall development lifecycle. Benefits of working at SPECTRUM.LIFE Full time permanent contract Work from home Competitive salary (dependent on experience) + employee benefits Continuous professional development and training opportunities. 25 days of annual leave 24/7 EAP and a wide range of health and wellbeing supports Extensive list of employee perks and benefits:

About Abound We're redefining consumer lending in the UK, and beyond. Using advanced AI and Open Banking data, we make fair, affordable personal finance available to more people. While traditional lenders rely almost entirely on credit scores, we look at the full financial picture - how much you spend, and what you can afford to repay to build a deeper, more accurate understanding of each customer's unique financial situation. And we've shown it works at scale. We've issued over £1.3bn in loans directly to customers while delivering market-leading credit performance - for every 10 defaults the industry expects, we see only 3. We also reached profitability just 2.5 years after launch. Backed by £2bn+ of funding from top-tier investors including Citi, GSR Ventures, and Deutsche Bank, we're recognised as one of Europe's fastest-growing fintechs (Sifted, CNBC). Now, we're expanding into new markets and product lines - and we're looking for ambitious people who want to learn fast, take ownership, and grow with us. About the Role We're looking for a Software Engineer II to help build the systems that automate how our Finance and Operations teams work. As Abound scales, the manual workflows that powered us through our first £1bn of lending are becoming reliable, observable, automated systems-covering reconciliations, reporting, payments operations, collections workflows, and the day to day tooling our internal teams rely on. This is a hands on engineering role on a small, high impact team. You'll write production code every day, taking well scoped pieces of work from design through testing and deployment, with senior and lead engineers supporting you on the larger or more ambiguous problems. Over time you'll grow ownership of the components and services you work on, and take on more of the discovery and design yourself. You won't just close tickets. You'll get close enough to the Finance and Operations workflows to understand the problem you're solving, ask good questions, and care about whether the system actually works for the people using it. We value engineers who take ownership, communicate clearly, and want to keep levelling up-this role has a clear path toward Senior Software Engineer. Our technology stack Python (FastAPI, SQLAlchemy, OpenTelemetry, Procrastinate), PostgreSQL, Liquibase, Docker, AWS Who you are Solid experience building production systems in Python - you're comfortable with type hints, write tests as a matter of habit, and have some exposure to async code (or are keen to learn) Able to take a well defined problem and deliver it end to end with limited guidance, while knowing when to ask for help on the bigger pieces Care about code quality, reliability, and maintainability, especially when building for internal users where accuracy and auditability matter A growing product mindset you want to understand the problem behind the ticket, and you're comfortable asking why Curiosity about how finance and operations functions actually run (reconciliations, ledgers, reporting, payment flows, ops workflows), or a track record of picking up unfamiliar domains quickly Clear communicator who works well with engineers and, increasingly, directly with business stakeholders Comfortable in a fast paced environment where accuracy, reliability, and clear communication are essential Keen to grow - you take feedback well and want to develop toward more ownership and technical depth Nice to have Experience working with relational databases and writing SQL (PostgreSQL especially) Exposure to cloud infrastructure (AWS, GCP, or Azure) Prior experience automating finance, accounting, or operations workflows Interest or experience in lending, payments, or financial services more broadly Exposure to observability tooling and supporting systems in production What you'll be doing Build and ship Python services and features that automate finance and operations workflows- from data ingestion through to the reports, actions, and exceptions that land with business users Take well scoped pieces of work from implementation through testing, deployment, and monitoring, with support from senior engineers on larger designs Participate actively in code review, write meaningful tests, and help uphold the team's engineering standards Work alongside senior engineers and, increasingly, directly with Finance and Operations stakeholders to understand requirements and turn them into reliable systems Grow ownership of the components and services you work on, taking on more of the design and discovery over time Help support business critical systems in production, troubleshooting issues that affect Finance and Operations users (with support as you build up context) Contribute to the team's delivery process sprint planning, sizing, and retrospectives Make pragmatic technical decisions that balance shipping today with maintainability tomorrow What we offer Everyone owns a piece of the company - equity Hybrid with 3 days a week in the office 25 days' holiday a year, plus 8 bank holidays 2 paid volunteering days per year One month paid sabbatical after 4 years Employee loan Free gym membership Team wellness budget to be active together-set up a yoga class, a tennis lesson or go bouldering

Contract: Permanent or Contract considered Location: Greater Oxford Area Working Pattern: Hybrid (2-3 days in office) Salary: Competitive A note from the Founders Oxford Dynamics is at an inflection point. We operate in some of the most complex and high stakes environments in the world - defence, national security, AI and robotics. The decisions we make now will define not just how fast we grow, but who we become. You will work closely with all the team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day in the work we do. If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you. Who We Are Founded in 2020, Oxford Dynamics (OD) is a fast growing UK deep tech company developing AI and robotic systems designed to operate in mission critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi modal data - text, imagery, telemetry and sensor feeds - enabling operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach. Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real world environments. We work with defence and security organisations internationally to help protect nations, infrastructure and lives. What you will be doing here/ why this role matters Oxford Dynamics is a small team who rely on a collaborative and positive approach and so the right attitude for this role is equally as important as experience. We are at an important stage and time in our growth, and as a Senior DevOps Engineer you will be an essential part of our success. We are looking for a seasoned DevOps professional with deep hands on expertise in AWS, Kubernetes and modern CI/CD who can also drive cloud native security. You will design, build and audit scalable infrastructure, automate delivery pipelines and champion cost efficient, highly available platforms while owning key processes that will help OD remain compliant with our various certifications also. Key Responsibilities Your responsibilities will include, but not limited to: End-to-end cloud ownership - architect, implement and maintain multi account, multi region environments using IaC (Terraform, CloudFormation, Helm). Platform reliability & automation - manage Kubernetes clusters (EKS/OpenShift), container registries and service meshes; create GitHub Actions / Argo CD pipelines for zero touch deployments. Security hardening - lead security posture reviews, implement GuardDuty, CloudWatch and IAM best practices. SRE & monitoring - uphold SLAs through observability stacks, proactive alerting and performance tuning of distributed systems. Collaboration & enablement - automate repetitive tasks, mentor developers and champion DevSecOps best practice across teams. Policy & audit ownership - steward the regular audits we need to put in place to remain compliant with industry standards ensuring provenance. Backup & DR - design AWS Backup plans, run annual restore drills, maintain RPO/RTO dashboards. Capacity & cost optimisation - run the monthly Capacity & Availability Checklist; leverage Compute Optimizer, Savings Plans and Graviton. Drift detection & golden images - operate Terraform/Helm drift alerts, AMI & container image pipelines with Inspector v2 scanning. Incident & hot fix response - coordinate emergency changes, rollbacks and post incident reviews. What you can bring to Oxford Dynamics A collaborative and supportive attitude to work is essential for this role. You will be expected to operate at multiple levels within the company, with a strong focus on delivery and attention to detail. You will be comfortable working alone, supporting team members as well as interacting with clients if required. Qualifications, experience and skills Proven experience in DevOps / SRE, with recent focus on AWS cloud engineering. Expert in AWS core services (EC2, VPC, IAM, S3, ALB/ELB, CloudFront, ECR/ECS, Elastic Beanstalk, Control Tower) and security tooling (GuardDuty, IAM Identity Center, CloudWatch). Strong Kubernetes (EKS/OpenShift) administration, Helm packaging and service mesh know how. Proficient in IaC (Terraform, Terraform Cloud, CloudFormation), containerisation (Docker, Docker Compose) and Linux systems. Solid CI/CD engineering with GitHub Actions and Argo CD. Experience integrating SAST and DAST best practices. Scripting in Bash and Python or Go for automation. Demonstrated success delivering cloud cost optimisation and high security solutions for enterprise clients. Expertise in implementing SSO across a variety of industry standard software. Preferred/ Bonus Experience with MLOps (Softwares such as Sagemaker, Kubeflow or ZenML). Deployment of on premise Kubernetes. Prometheus (or other stacks) observability. Experience with AWS Karpenter & Compute Optimizer. Compliance literacy - ISO 27001, NIST SSDF/OWASP SAMM, GDPR basics. Soft skills Process driven, documentation friendly mindset. "Can do" attitude, quick learner and unafraid of complex challenges. Excellent teammate with strong cross functional communication. Why This Role? You will join a culture that values secure, automated delivery and encourages experimentation. If you thrive on scaling cloud platforms, tightening security and shaving milliseconds (and money) off every deployment, we'd love to meet you. Why Oxford Dynamics? Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamics team has a major impact on the products and services we provide. Regardless of job title, you'll get to make a real difference and learn from colleagues about all areas of our business. Benefits include Salary: negotiable based on experience and attitudes Rapid career progression with meaningful ownership of core systems Opportunity to shape the future of a fast growing, successful, early stage business Flexible working hours Hybrid working model Company pension (UK Government NEST scheme) with company contributions at 4% Private Healthcare 29 days holiday in addition to public holidays (Full Time Equivalent) Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self.

Active DV clearance is required for this role. We are hiring for multiple positions. Permanent roles. We will consider contractors with existing clearances on an initial basis. Salary: Market rate - depending on experience A NOTE FROM THE FOUNDERS Oxford Dynamics is at an inflection point. We operate in some of the most complex and high stakes environments in the world-defence, national security, AI and robotics. The decisions we make now will define not just how fast we grow, but who we become. You will work closely with the entire team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day. If you are excited by ownership, pace and purpose-and by building something that genuinely matters- we would love to hear from you. Who We Are Founded in 2020, Oxford Dynamics is a fast growing UK deep tech company developing AI and robotic systems designed to operate in mission critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi modal data-text, imagery, telemetry and sensor feeds-to enable operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach. Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real world environments. We work with defence and security organisations internationally to help protect nations, infrastructure and lives. What You Will Be Doing We are looking for AI engineers who build and ship agentic AI systems in production. You will work at the cutting edge of agentic and generative AI-designing multi agent pipelines, integrating large language models and vision language models into real workflows, and deploying them into secure and air gapped environments for defence and national security customers. This is a delivery role. You will own features end to end-from design through to deployment in constrained environments where reliability and security matter more than speed to market. Key Responsibilities Architect, build, and optimise multi agent AI systems using frameworks such as LangGraph, Haystack, or equivalent Integrate LLMs and vision language models into agent workflows for reasoning, search, summarisation, and task execution Deploy AI systems into cloud, on premises, and air gapped environments Build production ready pipelines from data ingestion through to inference Experience with observability for AI systems, including agent behaviour, model performance, and failure modes Collaborate with engineers, product leads, and customers to translate requirements into working systems Contribute to evaluation frameworks, system integration, and performance tracking Act as a technical authority for agentic AI-setting design patterns for junior engineers Required Active DV clearance Commercial experience building multi agent or agentic AI systems in production Strong Python skills and hands on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar) Experience deploying AI/ML systems into production environments Familiarity with Docker, Git, and cloud platforms (AWS preferred) Understanding of secure deployment patterns-air gapped, on premises, or sovereign cloud Preferred Experience with multimodal reasoning Experience with edge or offline AI deployments Familiarity with Kubernetes (EKS/OpenShift) for monitoring and managing deployed applications MLOps experience-model evaluation, monitoring, reproducibility Observability tooling for agentic systems (model drift, agent behaviour, performance monitoring) Experience with agent orchestration patterns and inter agent communication protocols (e.g., A2A) Familiarity with MCPs for tool and context integration in agentic systems Familiarity with secure by design development principles (ISO 27001, NIST, OWASP) Experience in defence, national security, or similarly regulated environments Contributions to open source AI/ML projects Soft Skills Delivery focused- you ship working systems, not prototypes Comfortable operating across the stack when needed Strong communicator- can present to technical and non technical stakeholders Thrives in small teams with high ownership Why Oxford Dynamics? Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamics team has a major impact on the products and services we provide. Regardless of job title, you will get to make a real difference and learn from colleagues about all areas of our business. Benefits include: Rapid career progression and personal growth Flexible working hours Opportunity to shape the future of a fast growing business Hybrid working model Company pension (NEST) with 4% employer contribution Private Healthcare 29 days holiday + public holidays Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self.

Software Developer - Enterprise Technology, Python 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 3,000 employees across Europe, Asia and the Americas. 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. The Enterprise Technology team sits at the centre of Marex's technology landscape, delivering a cross business platform that enables our trading and business streams to innovate and go to market at pace. We provide shared capabilities including API gateways, centralised APIs, real time data streaming, connectivity solutions and emerging AI driven services. By building scalable, resilient and reusable platform components, the team reduces duplication, accelerates product delivery and ensures consistent standards across the organisation. Engine Room is a core part of this strategy, forming the foundation upon which next generation digital services are built. Marex recognises the need to provide digital services to give clients the best possible experience. As such, the technology team at Marex is playing an increasingly important role in the evolution of the firm and enabling business growth and new products and services. Role Summary Join the Enterprise team working on Engine Room, one of Marex's most strategic technology initiatives. As a Full Stack Python Developer, you'll help build and evolve a modern, enterprise grade platform at the core of the business. We're growing quickly and need energetic, flexible thinkers who can respond to changing demands, work collaboratively, and bring ideas to the table. If you enjoy solving complex problems in a fast moving environment and want to help shape technology that truly matters, this is the role for you. Responsibilities Role specific Design, develop and maintain high quality Python based solutions within the Engine Room platform. Contribute to the development of shared enterprise capabilities including API gateways, centralised APIs, real time data streaming, connectivity frameworks and AI enabled services. Participate in shaping Marex's shift to becoming AI native, by building agentic tools into the developer stack, liaising with researchers and the front office, and contributing to the AI ecosystem of the Enterprise team. Build a centralised development environment for use by front office developers. Build scalable, resilient and high performance services that support multiple business streams across Marex. Collaborate closely with product owners, architects and other engineering teams to translate business requirements into robust technical solutions. Contribute to architectural design discussions and help shape platform standards, patterns and best practices. Ensure solutions are secure, observable and aligned with enterprise governance and regulatory requirements. Support the continuous improvement of CI/CD pipelines, automated testing and DevOps practices. Participate actively in team discussions, technical brainstorming sessions and knowledge sharing. Adapt quickly to changing priorities and evolving business demands in a fast paced environment. Provide support and troubleshooting for production systems where required, ensuring high availability and reliability. Contribute to documentation and maintain clear technical artefacts to support long term platform sustainability. Promote a collaborative, inclusive and high performing team culture. Competencies, Skills, Experience & Qualifications A collaborative team player, approachable, self efficient and influences a positive work environment. Resilient in a challenging, fast paced environment. Ability to take a high level of responsibility in a fast pace and high volume environment. Excels at building relationships, networking and influencing others. Strategic collaborator with insight and agility, able to anticipate future challenges, ensuring operational effectiveness. Skills and Experience - Essential Strong experience in Python development, building production grade backend services and APIs (e.g. FastAPI, Flask, Django). Good working knowledge of at least one Python based front end framework. Experience working with AWS cloud services (e.g. ECS/EKS, Lambda, S3, RDS, API Gateway). Experience with event driven architectures, ideally using Kafka. Understanding of CI/CD pipelines, automated testing and DevOps practices. Strong understanding of software design principles (SOLID, clean architecture, domain driven design concepts). Experience working in Agile/Scrum delivery environments. Experience working across multiple teams or organisations, solving business problems with technology. Working knowledge of NodeJS or C#. Experience in with Beacon, Athena / SecDB or similar. Experience with Infrastructure as Code, ideally Terraform. Experience building or contributing to enterprise platform or shared services environments. Exposure to API gateway technologies and distributed systems design. Experience implementing observability tooling (logging, monitoring, tracing). Financial services or capital markets experience (advantageous but not essential). Experience using CDM as a data model (advantageous but not essential). 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. 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.

Platform Engineer London Company Overview Model ML is the AI workflow builder transforming how major financial institutions produce and validate client ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become one of the fastest growing enterprise AI platforms worldwide and recently closed a $75 million Series A, one of the largest fintech Series A rounds ever. The round was backed by FT Partners, Y Combinator, LocalGlobe, QED, 13books, and other top global investors, bringing total funding to $90 million. Job Description We are seeking an experienced Platform Engineer to lead the design, implementation, and maintenance of our cloud systems as we scale. This role is ideal for someone who thrives on building robust, secure, and cost efficient infrastructure that empowers engineering teams to deliver quickly without sacrificing reliability or compliance. You will be the driving force behind our DevOps, observability, and compliance readiness, ensuring our systems are audit ready, highly available, and optimized for both performance and cost. Key Responsibilities Architect, implement, and maintain cloud infrastructure to support rapid product growth. Prepare infrastructure for SOC 2 / ISO 27001 audits, aligning with customer expectations. Build and maintain CI/CD pipelines for backend, frontend, and data services to enable rapid, reliable releases. Drive product wide systems for logging, metrics, tracing, alerting and on call processes. Monitor and control cloud costs, identifying opportunities for optimization without sacrificing performance. Act as the internal advocate for operational excellence. What you can expect It won't be easy; in fact, it will be very hard. BUT, it will be a lot of fun. You need to be comfortable in being uncomfortable; timelines will change, priorities will most likely shift. Be prepared to sacrifice your work life balance in exchange for joining an incredible journey and learning a lot along the way. Requirements Technical stack: Azure (also AWS is a plus), Terraform, AKS (Kubernetes), Docker, GitHub Actions. Observability: Experience implementing logging, metrics, and tracing frameworks. Security: Familiarity with best practices, secrets management, and security scanning tools. Networking: Solid understanding of VPCs, private networking, DNS, load balancers, VPNs, and firewalls. Databases & Storage: Experience with provisioning, scaling, and managing production grade databases (PostgreSQL, MySQL, NoSQL) and blob storage. Scripting & Automation: Strong skills in Python or Bash for automation and tooling. Experience 4-7 years of relevant experience, ideally including startup or high growth/high load environments. Proven track record of owning infrastructure end to end - from architecture through production support. Experience implementing reliability, security, and compliance measures ahead of scale up or audit readiness. History of driving cost efficiency while enabling growth. Exposure to SOC 2, ISO 27001, or GDPR compliance processes. What We Offer You will be reporting directly to the founders, who have two successful venture backed exits under their belt. Competitive salary + equity. Supportive and innovative work environment. We're building a team of like minded, incredibly smart, tenacious individuals with relentless work ethic and focus, all driving towards a clear revolutionary mission. If you match this description, buy into that mission and you're at a career stage where you're ready to make your defining statement to the world, please apply. About the interview Our Process We're very conscious of everyone's time, so we want to make the process as efficient as possible. Call 1: 30 minute call with Roman. Call 2: 30 minute call with Arnie. Apply now.

The Opportunity This is a senior individual contributor role at the technical heart of Chip's AI chapter. You will be a key technical contributor to our agentic AI systems, working closely with the Head of AI and the wider engineering team to design, build and scale the infrastructure that powers our customer-facing AI products. You will have significant technical ownership - this is not a role for someone who wants to configure existing frameworks. We are looking for someone who can design novel solutions to hard problems and take them all the way to production. What you can expect to be doing: Architecture & Technical Design Work closely with the Head of AI to contribute to and implement the technical architecture of Chip's multi-agent AI systems - from orchestration layer to inter-agent communication and context persistence Design bespoke frameworks and tooling where off-the-shelf solutions fall short Author and maintain architectural decision records (ADRs) and engineering standards for the AI chapter Evaluate emerging techniques and approaches, adapting from research into production-ready implementations Delivery & Implementation Lead the hands-on implementation of AI systems alongside the team, maintaining deep technical involvement Build production-grade systems: observable, reliable, and cost-efficient at scale across Chip's 400k+ user base Define and implement testing and evaluation strategies for agentic systems - models-as-judge, synthetic data, human-in-the-loop processes and runtime safety / quality controls Identify and implement "flywheels" and processes that drive quality and performance through continuous iterative improvements Own the integration of AI systems with Chip's existing infrastructure, including async patterns and SDK design Technical Leadership Set the technical bar for AI engineering at Chip - reviewing work, raising standards, and mentoring engineers Work closely with the Head of AI on technical strategy and architectural direction Partner with the AI Product Manager and wider engineering teams on technically complex initiatives Contribute to Chip's company-wide AI engineering standards and governance What we're looking for: Deep hands-on experience designing and building multi-agent AI systems in production - not just configuring existing frameworks Proven ability to take AI systems from concept through to production with long-term ownership Track record of solving hard technical problems: large context windows, hallucination mitigation, novel orchestration patterns Experience building customer-facing AI systems in regulated, high-trust, or high-risk domains is a strong plus Experience building AI systems on AWS is strongly preferred, particularly using services such as Bedrock, SageMaker, ECS, and EventBridge Technical Depth Expert-level understanding of agentic architectures: orchestration, inter-agent communication, state and context management Strong experience with evaluation frameworks, retrieval systems, model behaviour analysis and production observability for AI systems Comfortable working across the full stack - infrastructure, services, and AI layer - to ship end-to-end solutions Stays current with the fast-moving AI landscape and is genuinely excited about being at the forefront of what's possible Ways of Working High agency IC - owns problems end-to-end without waiting for direction Comfortable in a small, fast-moving team where the scope of your impact is large and visible Collaborative and generous with knowledge - raises the technical capability of those around you Interested in the commercial and product context of the systems you build, not just the engineering The Role in Context You will report to the Head of AI and work alongside a small team of Backend Engineers in building and maintaining Chip's AI Platform. You will also work closely with the product teams who are building customer-facing features on top of your platform, as well as stakeholders across the business on internal AI-driven opportunities. What we're really looking for We're looking for someone who's genuinely excited about Chip and energised by the opportunity to help build the future of wealth, making saving, investing and pensions simpler and more accessible for everyone. We work in a regulated space, so the bar is high. But we've built a team of smart, thoughtful people who care about doing great work and enjoy doing it together. Technical skills matter, obviously. But they're not the only thing we hire for. We want real people. People with interests, perspective and personality. The best teams are made up of individuals who bring different experiences into the room, not just polished CVs and good interview answers. So alongside the technical side, we'll be looking for empathy, self-awareness, sound judgement, resilience and a collaborative mindset. People who are good to work with, especially when things get hard. Working Hours Monday to Thursday: 9:00 AM - 6:00 PM Friday: 8:00 AM - 4:00 PM (Start your weekend early!) Enjoy a structured yet balanced workweek, with an early Friday finish to kickstart your weekend! PERKS Discretionary Performance-Related Annual Bonus of up to 10% (Cash) and 5% (Shares) based on your gross annual salary. Workplace pension scheme - We invest in your future with a workplace pension scheme, contributing 5% on earnings up to £50,000. Plan ahead with confidence while you grow your career! Private medical insurance (medical history disregarded) Employee Assistance Programme Cycle to work scheme Season ticket loan Free ChipX subscription for UK-based employees We are an equal-opportunity employer and value diversity Flexible working arrangements 28 days holiday plus bank holidays, plus the days between Christmas and New Year Annual training budget for courses, workshops, or conferences to help you advance your career. £30 per month Chip Fitness Benefit to suit your Mental/Physical Wellbeing Company laptop Opportunity to have a huge impact on our product while fast-tracking your knowledge, responsibility and skills in a high-growth fintech startup Our Interview Process Video screen with someone from our Talent team Video interview with the hiring manager Video interview with senior stakeholders Final interview with CTO About Chip Chip's mission is to make your life wealthy. We're building the wealth super app of the future, to build long-term wealth across savings, investments and pensions. We use technology to break down barriers so users can invest like the ultra-wealthy, giving them one simple place to manage, grow and protect their wealth. The Sunday Times listed Chip as the 6th fastest growing tech company in Britain, and Chip serves over 400,000 active customers and looks after over £6billion in assets. Chip is built by a fast-growing team of designers, developers, customer service professionals, marketers, banking experts, and entrepreneurs. Chip has raised over £50m from 29,000 investors over 9 years. Our vision To be the most personal digital wealth manager in the UK Who we are Chip has a creative and diverse team of 180, from all different backgrounds and industries. We're driven and passionate people, but no one takes themselves too seriously. We have awards including Best Personal Finance App at the 2022, 2024 & 2025 British Bank Awards. Our Values Be ACCOUNTABLE Everything you do matters, care about the end result, challenge the norm, disagree, yet commit to making it happen once a decision has been made, do the best job possible Be BOLD Share our ambition and do your bit to achieve it, innovate, set goals that align with our mission, do your best for our customers Be COLLABORATIVE Work cross-functionally - we win as a team, build strong relationships based on trust, treat others fairly and respectfully, hold others to account, be supportive and inclusive, have fun together Equal Opportunities We are committed to an inclusive environment and encourage applications from people irrespective of gender, race, sexual orientation, religion, age, disability status or caring responsibilities. We will help you balance work and home life and support your professional and personal aspirations. Note to Agencies Chip does not accept unsolicited CVs from recruiters or employment agencies in response to any of our live roles on our career page. We reserve the right to hire candidates without any financial obligation to the recruiter or agency. Any unsolicited CVs submitted are the property of Chip.

Role Overview In this Principal role, you will lead the design, build, and operational excellence of core platform capabilities covering backend services, modern frontend applications, and critical platform infrastructure or APIs. You will drive architectural strategy, mentor senior engineers, collaborate at cross functional and technical leadership levels, and ensure the system scales reliably across global, enterprise use cases. Key Responsibilities Define and implement the architecture and delivery of backend services and microservices, supporting high throughput, globally distributed systems. Lead frontend development using modern frameworks (React/Angular/Vue.js + TypeScript) for responsive, performant, enterprise grade applications. Drive design and implementation of containerization/Docker and orchestration (Kubernetes) for production scale deployment and standardization across teams. Partner with cross functional leaders (product, UX, QA, architecture) to shape roadmap, align technical strategy with business priorities and ensure rapid but sustainable delivery. Establish engineering best practices: code reviews, technical mentorship, continuous improvement, testing frameworks, CI/CD pipelines, observability and platform health. Own cloud-native delivery (AWS, GCP, Azure), infrastructure-as-code, monitoring and operational resilience for mission critical capabilities. Lead risk identification and mitigation, optimize system performance, ensure scalability and reliability across multi tenant enterprise environments. Act as a mentor and thought leader, enabling engineers across teams, contributing to onboarding, knowledge sharing, industry innovation, and engineering culture. Required Skills & Experience Extensive professional software engineering experience (or analogous senior technical leadership) with deep expertise in Java and object-oriented design. Strong understanding of RESTful API design, relational databases (SQL) and large scale backend operations. Hands on with containerization and orchestration technologies (Docker, Kubernetes) in production. Experience using version control (Git) and agile methodologies (Scrum, Kanban) in global, cross team environments. Excellent analytical, problem-solving, communication and influencing skills, with the ability to engage with senior stakeholders and technical leaders. Deep experience with cloud platforms (AWS, GCP, Azure) and infrastructure automation (Terraform, Ansible). Familiarity with data streaming/event driven architectures (Kafka, Flink, Pulsar) and high throughput systems. Mature experience with CI/CD tooling (Jenkins, GitHub Actions) and micro frontend patterns. Strong testing & observability mindset (JUnit, Jest, Cypress) and performance optimisation. Prior experience in global engineering teams, mentoring senior and principal engineers, and setting engineering direction. Soft Skills Demonstrated technical leadership and mentorship-capable of guiding others to drive technical excellence and elevate team delivery. Strategic thinker with business-oriented mindset: engineering decisions aligned with product and company goals. Agile, adaptable, curious-thrives in fast moving environments, embraces change, and champions continuous improvement. Equal Employment Opportunity Statement We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.

Senior Connectivity Engineer / Networking / VPN / Go / Python / Linux / Location: Wallingford - Oxfordshire (Hybrid) Permanent At Dexory, we are transforming the warehousing and logistics industry through data intelligence. We're currently recruiting for a Senior Connectivity Engineer to take day-to-day ownership of the connectivity layer that keeps our global robot fleet online. You will build the tooling and automation that makes managing mesh VPN, industrial routers, Wi Fi and cellular connectivity across the fleet fast, repeatable and observable. Offices are based in Wallingford, Oxford, with this role offered on a flexible hybrid basis (approximately once every 4 weeks on site). Experience in robotics, telematics, connected vehicles, industrial IoT, or start-up / scale-up environments is desirable, along with experience operating fleets of devices across multiple geographies and carriers. We're open to candidates from a range of backgrounds - networking, platform, SRE, DevOps, embedded Linux, telematics - what matters is strong networking fundamentals paired with a tooling-first mindset. Responsibilities / Skills Own and evolve Dexory's fleet connectivity stack (mesh VPN, routers, Wi Fi, cellular) with a tooling first, automation led approach so we scale with the fleet, not headcount. Build internal tooling and self serve workflows for router configuration/validation, access management, and fleet health checks; replace manual processes with repeatable, testable systems. Operate the mesh VPN layer (WireGuard/Tailscale or equivalent): access as code, policy patterns, posture/health automation, and resilience/disaster recovery planning. Deliver fleet wide connectivity observability: monitoring, alerting, reporting, and actionable signals that help teams diagnose end to end issues quickly. Improve cellular/SIM lifecycle management: provisioning automation, usage/cost visibility, and carrier level reporting. Enable deployments with pre deployment network validation and simple site survey workflows that field teams can run independently. Partner with deployment, service and customer facing teams to turn field issues into durable tooling and documentation, not recurring manual fixes. Strong networking fundamentals (routing, NAT, firewalls, DNS, VPNs, IPv4/IPv6) and experience operating production systems at scale; comfortable debugging multi layer failures. Comfortable working close to the Linux networking stack when needed (interfaces, routing tables, MTU/PMTUD, conntrack, nftables/iptables) and diagnosing kernel level networking behaviour. Proficient in Go and/or Python and experienced with modern observability tooling; bonus points for containers/IoT OS, ACL as code patterns, and carrier/router API integrations.

About us: Spectrum.Life is a whole-of-health digital partner that guides organisations and their people to thrive, delivering clinically backed digital health, mental health and wellbeing solutions. Our HealthTech delivers digital transformation for Insurers, Educators and Employers through Co-creation or seamlessly integrated out-of-the-box solutions, that decrease digital fragmentation and engage, empower, and transform their people's lives. Established in 2018 by Stuart McGoldrick and Stephen Costello, Spectrum.Life provides services internationally to over 7.2m insurance members, 3,000 corporate clients, 60 universities and 650,000 university students. Spectrum.Life currently employs over 450 people. Our vision is to change and save as many lives as possible. Role Brief: We are seeking an experienced and forward thinking DevOps Lead to own the infrastructure, security, and continuous delivery pipelines that form the backbone of our AI driven projects. This is a critical, hands on role where you will be responsible for building and maintaining a resilient, secure, and highly automated environment across our cloud platforms. You will be the designated expert for all things related to infrastructure and DevOps. Your deep understanding of cloud architecture, security principles, and CI/CD will ensure our engineering teams can build and release software quickly, safely, and efficiently. If you are passionate about automation and leveraging AI to create intelligent, self healing systems, we want to hear from you. Responsibilities: Cloud Infrastructure & Automation Architect, build, and manage scalable and secure infrastructure on AWS using Infrastructure as Code principles, primarily with Terraform. Develop and maintain bespoke automation scripts to accelerate project setup, on demand environment creation, and other operational tasks. Champion and implement solutions like LocalStack to streamline local development and testing workflows for engineers. Provide expert guidance on systems architecture, ensuring our infrastructure is designed for performance, scalability, and resilience. Collaborate with engineering teams to manage and automate the infrastructure for our services, including APIs and databases, ensuring their performance and reliability. CI/CD & Release Management Develop and improve CI/CD pipelines using GitHub Actions, from code commit to production deployment. Integrate and manage automated testing, dependency updates, and security scans within the pipelines to ensure code quality and security. Empower engineers with the tools and automation needed to reduce friction, manage technical debt, and focus on building great products. Define and continuously improve our release processes, ensuring smooth and predictable deployments. Security & Compliance Act as the subject matter expert for security, compliance, and data flows within our cloud infrastructure. Implement and manage security best practices and automated tooling (SAST/DAST, dependency scanning) to protect our applications and data. Oversee the security and compliance of AI related data flows, ensuring that any data sent to third party services is minimized, anonymized, and explicitly not used for external training purposes. Ensure all infrastructure and processes adhere to legal and regulatory requirements, maintaining customer trust and data privacy. Observability & Incident Management Implement and manage a robust observability strategy using tools like Sentry, Datadog, and native cloud services. Configure critical alerting and monitoring (e.g., AWS CloudWatch Alarms) and integrate them with notification services to ensure rapid response. Lead the incident management process for infrastructure related issues, with a focus on root cause analysis and proactive prevention to minimize hotfixes. Champion the use of AI in operations, exploring and implementing tools for anomaly detection, predictive analysis, and automated remediation. Collaborate with our existing core infrastructure engineer on business as usual projects to ensure strategic alignment across the company, while maintaining a primary focus on AI project initiatives. Requirements: Proven experience in a DevOps/Infrastructure Engineering role with a focus on automation. Proficiency in managing cloud infrastructure on AWS. Experience supporting infrastructure for ML/AI projects (MLOps) is highly desirable. Deep, hands on experience with Infrastructure as Code using Terraform. Hands on experience with containerization technologies (Docker, Kubernetes) and networking (VPCs, Load Balancers). Expert level knowledge of building and managing complex CI/CD pipelines, with a strong preference for GitHub Actions. Strong understanding of system architecture, security best practices, and compliance standards. Comfortable with scripting languages (e.g., Python, Bash) to build automation and tooling. Experience with the operational lifecycle of APIs and databases from an infrastructure perspective. Hands on experience with modern observability and error tracking tools such as Sentry, Datadog, Prometheus, or Grafana. You have a deep technical curiosity and a passion for automation. You act as a force multiplier, empowering the engineering team with the tools and processes they need to succeed. You take complete ownership of your domain and are a reliable partner to the engineering teams you support. You are a strategic thinker who can balance speed and safety, enabling developers to move fast without compromising on security or stability. You are a strong communicator who can explain complex technical concepts to a variety of audiences. You are proactive in identifying potential issues, reducing technical debt, and improving the overall development lifecycle. Benefits of working at SPECTRUM.LIFE Full time permanent contract Work from home Competitive salary (dependent on experience) + employee benefits Continuous professional development and training opportunities. 25 days of annual leave 24/7 EAP and a wide range of health and wellbeing supports Extensive list of employee perks and benefits:

Role Description - What you will work on Design, build, and evolve batch and streaming data pipelines that power refinery modeling, analytics, and customer-facing products. Own complex data ingestion, transformation, validation, and delivery workflows across multiple data sources. Drive improvements in pipeline reliability, scalability, and observability, including retries, backfills, data quality checks, and monitoring. Lead schema design, versioning, and evolution strategies to support stable, long-lived data contracts. Build and maintain backend components and APIs used to serve data to downstream systems and applications. Partner closely with data scientists, product managers, and other engineers to translate domain requirements into robust technical solutions. Continuously improve existing systems as data volume, complexity, and product expectations grow. Responsibilities Design, build, and evolve batch and streaming data pipelines that power refinery modeling, analytics, and customer-facing products. Own complex data ingestion, transformation, validation, and delivery workflows across multiple data sources. Drive improvements in pipeline reliability, scalability, and observability, including retries, backfills, data quality checks, and monitoring. Lead schema design, versioning, and evolution strategies to support stable, long-lived data contracts. Build and maintain backend components and APIs used to serve data to downstream systems and applications. Partner closely with data scientists, product managers, and other engineers to translate domain requirements into robust technical solutions. Continuously improve existing systems as data volume, complexity, and product expectations grow. Skills and Experience Deliver high-quality, well-tested, and maintainable code, setting a strong example for engineering best practices. Own significant parts of the data platform end-to-end, from ingestion to production delivery. Make architectural contributions to data processing, storage, and delivery patterns. Contribute to and improve CI/CD pipelines, automation, and operational tooling. Instrument services and pipelines with metrics, logs, and alerts, and help define operational standards. Play an active role in incident response, root-cause analysis, and long-term system improvements. Review code, mentor other engineers, and help reinforce shared coding and architectural standards across the team. Nice to have Exposure to Kafka, Spark, or streaming architectures. Experience with Kubernetes. Familiarity with event-driven or microservices architectures. Exposure to analytical datastores (e.g. Elasticsearch). Full-stack awareness (e.g. ability to read, review, and provide feedback on frontend or API-layer pull requests, without being a primary frontend contributor). Prior experience working on data products in energy, commodities, or industrial domains. Kpler is committed to providing a fair, inclusive and diverse work-environment. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.

Mark43 is approved to hire in Canada, the UK, and 36 U.S. states, including Alabama, Arizona, California (excluding San Francisco), Colorado, Connecticut, Washington D.C., Florida, Georgia, Iowa, Idaho, Illinois, Indiana, Kansas, Massachusetts, Maryland, Maine, Michigan, Minnesota, Missouri, North Carolina, Nebraska, New Hampshire, New Jersey, New Mexico, New York, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Vermont, Washington, Wisconsin, and West Virginia. Before applying to a remote role, please ensure that you are able to perform the position in one of the states listed above. State locations and specifics are subject to change as our hiring requirements shift. Applicants must be authorized to work for any employer in the country in which the role is being hired. We are unable to sponsor or take over sponsorship of an employment visa at this time. About Mark43 Mark43 empowers communities and their governments with technology that improves safety and quality of life. We build modern, resilient software that first responders and public safety agencies depend on in their most critical moments. Role Overview We are seeking an experienced Senior Software Engineer - Integrations who will take technical ownership of building and scaling integrations between Mark43's core platform and mission critical third party systems. You'll lead the design, development, and implementation of robust APIs, data pipelines, and messaging layers, ensuring seamless operational data flow for emergency dispatch and response systems. This is a hybrid role requiring at least three days per week in our Manchester office to support strong team collaboration. What You'll Do Lead full lifecycle development of integrations that connect the Mark43 platform with external systems such as 911 call centers, state databases, evidence systems, and other key services. Drive architectural decisions and ensure scalable, maintainable solutions across REST APIs, message queues, and event driven workflows. Collaborate closely with Product, Engineering, and partner technical teams to define reliable API contracts and integration patterns. Mentor and guide more junior engineers on the team, elevate coding standards, and lead code reviews. Contribute to integration testing strategies, observability, and dashboards to monitor operational data flows. Champion best practices for performance, security, and error handling in distributed systems. Participate in sprint planning, roadmap discussions, and technical strategy across the integrations team. What You'll Need 4+ years of professional software engineering experience, with a strong focus on backend services, distributed systems, and system integrations. Proven ability designing and operating APIs, webhooks, or asynchronous messaging systems (e.g., Kafka, queues). Experience with languages and technologies relevant to our stack such as Java, TypeScript/JavaScript, RESTful services, SQL/MySQL, and data pipelines. A solid understanding of integration challenges, including data transformation, schema evolution, retries, and failure management. Experience leading technical workstreams and mentoring less senior engineers. Strong communication skills and the ability to work with cross functional partners. Nice to Have Prior experience in public safety, government software, or regulated domains. Familiarity with CI/CD pipelines, observability tooling, and cloud native practices. Why You'll Love Working Here At Mark43 you'll work on software that directly impacts how first responders protect communities. You'll enjoy collaborating across disciplines, shaping product integrations that accelerate public safety operations, and mentoring a talented engineering team. Joining our Manchester office fosters a supportive culture rooted in shared mission and innovation. Location This role is based in our Manchester, UK office and follows a hybrid work model. Team members are expected to be in the office at least three days per week to foster strong collaboration and a connected team environment. Our Privacy Notice describes how Mark43 uses and protects the personal information of prospective employees during the recruitment process. It informs you about our handling of the personal information you provide to us when you apply for a position in our organization and in general when you express your interest in joining our team. As a part of Mark43's security measures all employees must: Engage in appropriate use of the company's electronic information resources; Become knowledgeable about and follow relevant security policies and guidelines; Protect the resources under their control, such as passwords, computers, and data that they create, receive, or download; and Promptly report security-related incidents and violations, and responding to official reports of security incidents involving their systems or accounts. Mark43 is committed to the full inclusion of all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed, please email requesting the accommodation.