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We're an award-winning consultancy known for delivering exceptional products and services through technology. We work closely with organisations to help them accelerate value delivery and create outstanding customer experiences. Our purpose is simple: to empower organisations to make a real difference for people, society, and the planet through technology that's efficient, user-friendly, and solves problems fast. At Burendo, we believe that together, we can achieve incredible things. What sets us apart is how we work. We pride ourselves on having a pragmatic attitude to delivery-we think big, plan practically, adapt quickly, and always focus on results, no matter how complex the challenge. We're passionate about making great things happen by embracing innovation, challenging the status quo, and fostering collaboration at every step. At Burendo, caring for people is at the heart of what we do. We value partnerships, listen to different viewpoints, and believe in treating everyone fairly. And, we love to share what we learn-using our expertise to help others grow and empowering organisations to succeed in the long term. Great engineers come from many different backgrounds and are specialists in many different areas. At Burendo, we've got some exciting new projects kicking off, and we're looking for people who want to contribute across the tech stack and be involved in all stages of the software development lifecycle. These are the things we value most at Burendo, we can teach skills, but our behaviours forge the culture we strive for. A passion for engineering and a desire to keep learning A focus on writing clear, concise code that is easy to maintain An ability to be pragmatic when required and avoid unnecessary "gold-plating" An understanding that quality is everyone's responsibility and a strong desire to test your own code Comfortable working with others in pairing or mobbing scenarios A good communicator who shares our values of openness and respect A DevOps mentality - meaning that you don't want to chuck code over the fence, and you are keen to be involved right through to delivering the code to the customer A desire to build up and see others succeed, rather than wanting to be the Hero Confidence to act as a technical authority, influencing decisions across teams and stakeholders Ability to balance short-term delivery with long-term technical strategy and sustainability We believe every engineer should have a fundamental understanding of development, infrastructure, and testing and therefore you'll need at least some of these skills to help you pick the role up quickly. Burendo is invested in the growth of our consultants and provide a healthy self-development budget you can use to grow in the areas mentioned below, or any other of your choosing! The must haves: Fundamental coding experience at least two of the following languages: Python, JavaScript, Node.js, C#, Java Experience working within cloud environments, specifically AWS or Azure (Or both!) Fundamental understanding of infrastructure-as-code with Terraform or an equivalent technology Experience working with CI/CD pipelines such as GitHub Actions, GitLabCI, Jenkins or Azure DevOps A good understanding of and experience working with agile methodologies Experience working in supporting a live product Experience adapting to different tech stacks Understanding of and working experience with source control, particularly Git Experience with database technologies of some flavour Experience mentoring, managing and up-skilling engineers Experience providing technical leadership across teams or programmes of work Experience shaping architectural decisions and guiding engineering best practice Ability to engage with senior stakeholders and translate business goals into technical outcomes And it would be great if you have any of these: Experience with no-SQL technologies such as MongoDB Experience of building CI/CD pipelines with tools such as GitHub Actions, GitLabCI, Jenkins or Azure DevOps These are the little bit extra, cherry-on-top skills that will help you stand out. Still give us a shout if you haven't currently got these skills though! Experience working in the public sector and healthcare industry Experience working in a technology or consulting company Involvement in community building via blogs, online sites, meetups, or other means 25 days Annual Leave (plus bank holidays) An additional day of paid leave for celebrations 1 additional day of holiday after 2 years' service (26 days total) and another 2 days after 5 years (28 days total) Monthly Wellness Allowance Annual Learning and Development Allowance Paid time off for Life Events Matched Employer Contributed Pension (5%) Life assurance based on 4 x your salary Access to an Employee Assistance Programme Enhanced Family Leave Enhanced company sick pay A range of optional Salary Sacrifice benefits (inc EV Scheme, Home and Tech, Cycle to Work and Pension) Exciting calendar of Burendo social events and activities We are committed to promoting equal opportunities in employment. You and any job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, nationality, ethnic or national origin, religion or belief, sex or sexual orientation As a proud supporter of the Armed Forces Covenant, we welcome all applications from members of the Armed Forces Community.

Description Our Senior Data Engineers enable public sector organisations to embrace a data driven approach by providing data platforms and services that are high quality, cost efficient, and tailored to clients' needs. They develop, operate, and maintain these services. They make sure they provide maximum value to data consumers, including analysts, scientists, and business stakeholders. Your role at Made Tech As a Senior Data Engineer, you may play one or more roles according to our clients' needs. The role is very hands on and you'll support as a senior contributor for a project, focusing on both delivering engineering work as well as upskilling members of the client team. At other points, you might play more of a technical architect role and work with the larger MadeTech team to identify growth opportunities within the account. You'll need to have a drive to deliver outcomes for users. You'll make sure that the wider context of a delivery is considered and maintain alignment between the operational and analytical aspects of the engineering solution. Skills, Knowledge & Expertise We are looking for candidates with a range of skills and experience, please apply even if you don't meet all the criteria. Enthusiasm for learning and self development Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies Gathering and meeting the requirements of both clients and users on a data project Strong experience in IaC and able to guide how one could deploy infrastructure into different environments Owning the cloud infrastructure underpinning data systems through a DevOps approach Knowledge of handling and transforming various data types (JSON, CSV, etc.) with Apache Spark, Databricks or Hadoop Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data Meshes) and the different use cases for them Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines, with an understanding how to create reusable libraries to encourage uniformity of approach across multiple data pipelines Able to document and present an end to end diagram to explain a data processing system on a cloud environment, with some knowledge of how you would present diagrams (C4, UML etc.) To provide guidance how one would implement a robust DevOps approach in a data project. Also would be able to talk about tools needed for DataOps in areas such as orchestration, data integration and data analytics Experience in improving resilience in a project by checking for software vulnerabilities and implement appropriate testing strategies (unit, integration, data quality etc.) Knowledge of SOLID, DRY and TDD principles and how to practically implement these into a project Agile practices such as Scrum, XP, and/or Kanban Designing and implementing efficient data transformation processes at scale, both in batch and streaming use cases Owning the cloud infrastructure underpinning data systems through a DevOps approach Agile practices such as Scrum, XP, and/or Kanban People skills such as mentoring, supportive team player and performing line management duties To be able to demonstrate a commercial mindset when on projects to grow accounts organically with senior stakeholders Desirable experience Experience in the following things isn't essential, but it's highly desirable! Working at a technology consultancy Working with Docker and virtual environments as part of the development and CI/CD process Working with senior stakeholders to gather requirements and keep them engaged Experience in working with a team of engineers using a variety of techniques such as pair programming or mob programming Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Job Benefits Support in applying If you need this job description in another format, or other support in applying, please email . We believe we can use tech to make public services better. We also believe this can happen best when our own team represents the society that actually uses the services we work on. We're collectively continuing to grow a culture that is happy, healthy, safe and inspiring for people of all backgrounds and experiences, so we encourage people from underrepresented groups to apply for roles with us. When you apply, we'll put you in touch with a talent partner who can help with any needs or adjustments we may need to make to help with your application. This includes alternative formats for documents, the time allotted for interviews and any other needs. We also welcome any feedback on how we can improve the experience for future candidates. We're committed to building a happy, inclusive and diverse workforce. Here are some of our most popular benefits listed below: 30 days Holiday - we offer 30 days of paid annual leave + bank holidays! Flexible Parental Leave - we offer flexible parental leave options Remote Working - we offer part time remote working for all our staff Paid counselling - we offer paid counselling as well as financial and legal advice An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility. Eligibility for SC requires 5 years' of continuous UK residency. Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let you know why. About Made Tech Made Tech is on a mission to use technology to improve society - for everyone. We help organisations transform, deliver and manage world class digital products and services. Today, you can see our services (and people!) in action, such as the design and build of the Homes for Ukraine service, delivered in 2 weeks. We're helping local authorities make it easier and quicker for people to log housing repairs online. By digitalising access to NHS services we're making it more accessible, such as children needing mental health support. All this great experience is enabling us to support new areas, like energy. We're helping to drive better environmental outcomes by improving network performance through real time asset monitoring, which means less wasted energy. We were recently named as a finalist in the Raising the Bar for Workplace Transparency Award in the Shift People Awards. This is a recognition of our many great initiatives, such as our open access employee handbook that we launched five years ago.

Staff Software Engineer At UnlikelyAI, we are building the future of AI: one that is reliable, accurate, and transparent. Our neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with Universal Language - our proprietary symbolic technology that bridges the gap between probabilistic machine learning and deterministic classical computing. Our products are already in use with major enterprises - including tier-1 banks and leading accountancy firms - across audit, compliance, and financial services. In compliance, we combine symbolic decision trees with LLM-powered evidence extraction to catch errors in financial reporting that human reviewers miss. In financial services, we use neurosymbolic guardrails to deliver accurate and explainable outcomes at scale. We are now building toward a platform - a public API and platform experience that will make our core neurosymbolic capabilities available to a broader set of customers and use cases. This is a pivotal moment: we're transitioning from bespoke customer engagements into a scalable product platform, and we need exceptional engineers to help us get there. The Role We are looking for a Staff Software Engineer to help shape the technical direction of our platform as we scale. This is a role for someone who combines deep hands on engineering ability with the judgement and influence to drive architecture and engineering quality across teams. You'll be one of our most experienced individual contributors - someone the team looks to for guidance on hard technical decisions, system design, and long term technical strategy. You'll spend most of your time writing code and solving complex problems, but you'll also be expected to identify the highest leverage work across squads, mentor other engineers, and raise the bar for how we build software. Our core capabilities span symbolic reasoning (decision trees, propositional graphs, knowledge graphs), document ingestion pipelines, and the APIs that expose these to customers. You'll work on genuinely novel problems at the intersection of classical symbolic AI and modern LLMs - for example, how to represent regulatory knowledge as machine evaluable rules, or how to build feedback loops that improve system accuracy over time. You'll work within a shared monorepo alongside software engineers, research engineers, and applied scientists in a heavily cross functional environment. We operate in small, focused product teams, supported by shared infrastructure, internal tooling, and an R&D function. What You Might Work On In your first months, you could find yourself working on any of the following: Defining the architecture for our new public API - making foundational decisions about authentication, scalability, versioning, and developer experience that will shape the platform for years. Leading the design and implementation of our document ingestion pipelines to handle new input formats (e.g. PDF, Word) and new regulatory jurisdictions at scale. Designing evaluation frameworks and benchmarks to measure and improve system accuracy - and establishing these as engineering norms across teams. Driving improvements to our deployment architecture for enterprise customers with specific cloud and security requirements. Owning the technical strategy for internal tooling and developer experience across the monorepo - identifying bottlenecks and leading initiatives to address them. Working on the symbolic reasoning engine that powers our products - including decision tree evaluation, rule generation, and knowledge graph construction. Identifying and leading cross cutting technical initiatives that improve reliability, performance, or engineering velocity across the organisation. You'll be successful here if you have deep expertise in Python, including writing well typed, well tested code in a collaborative codebase, and strong opinions on how to structure Python projects at scale. you have a proven track record in system design and architecture - you've made foundational technical decisions that shaped the trajectory of a product or platform. you've tackled complex algorithms and data structures and have experience working with non trivial algorithmic problems at scale. you care deeply about production quality engineering - you don't just advocate for software quality, you actively set the standards and build the culture around it. you have a track record of technical leadership - you've influenced technical direction across multiple teams or projects without necessarily having direct reports. you have significant experience with cloud infrastructure (AWS preferred) - services such as S3, ECR, ECS/EKS, and infrastructure managed via Terraform or similar - and can make informed architectural decisions about deployment and scalability. you have a bias for action - you move quickly, make informed decisions, and iterate without waiting for perfect information. you have a relevant degree in Computer Science, Mathematics, Engineering, or STEM - or equivalent practical experience. Other skills You don't need to tick every box below, but any of the following would strengthen your application: Monorepo experience - comfortable working in and improving a large, shared codebase with multiple product teams contributing. CI/CD pipelines - hands on experience with GitHub Actions or similar, ideally including designing and optimising CI infrastructure. Experience with document processing pipelines - PDF parsing, OCR, structured data extraction. Familiarity with knowledge representation - decision trees, knowledge graphs, ontologies, or symbolic reasoning systems. Experience with LLM integration in production systems - prompt engineering, evaluation, working with APIs such as Gemini, Claude, or OpenAI. Frontend experience with React and TypeScript - we value engineers who can contribute across the stack when needed. Experience in regulated industries - fintech, audit, compliance, insurance, or banking. Familiarity with the modern Python tooling ecosystem: uv for package management, ruff for linting, pyright or similar type checkers. Experience with observability and monitoring tools such as Datadog. Experience mentoring engineers and helping teams grow their technical capabilities. How We Work We're a team of around 30 people based primarily in the UK. We operate a hybrid working policy, with three days a week in our Central London office. Engineering is organised into product focused squads, supported by shared infrastructure and an R&D function. We work in a monorepo, deploy to AWS, and care deeply about developer experience - we're actively investing in modernising our tooling, CI, and repository structure. We run hackathons, we have strong opinions about code quality (held loosely), and we ship often. Our culture is collaborative and low ego: engineers regularly move between teams, pair on hard problems, and contribute ideas regardless of seniority. We take the work seriously, but not ourselves.

We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties About Landmark Landmark, a Halliburton company, builds the software and data platforms that help the global energy industry make better decisions. Our products span subsurface interpretation, well construction planning, reservoir simulation, production optimization, and digital operations. These are tools used daily by engineers and scientists at the world's largest energy companies and run as cloud-native SaaS platforms and as enterprise on-premises solutions. About the Role You own the full development cycle for the features and systems your team assigns you. At Landmark, that means working on software that oil and gas operators depend on for high-stakes decisions. You take a feature from specification through design, implementation, testing, and delivery with minimal supervision and enough judgment to make good technical decisions along the way. You contribute to code reviews, improve the codebase and processes around you without waiting to be asked, and help junior engineers grow. The quality of what you build shows up in production software used by operators worldwide. Strong software engineering fundamentals are the primary requirement. Domain knowledge is valuable but can develop on the job. Positions are available across a range of teams. Team assignment determines both the product domain you work in and the major technologies you use. Teams build software for domains such as: Geoscience - geology, geophysics, or petrophysics Drilling engineering and well planning Reservoir engineering and modeling Production engineering and optimization E&P data management and integration Cloud and platform infrastructure, data services, and developer tooling AI-assisted analytics, search, and generative AI Technologies used vary by team and include: Languages such as Java, C#, F#, C++, Python, and TypeScript Frameworks, platforms, and runtimes such as .NET, Eclipse RCP/SWT, JUnit, Angular, React, and Node.js Cloud platforms including Azure and AWS Containerization and orchestration tooling such as Docker and Kubernetes Infrastructure automation tools such as Terraform, Ansible, Helm, and Argo CD/Flux Relational and NoSQL databases such as PostgreSQL, SQL Server, Oracle, and MongoDB What You Will Do Own features end to end: analyze requirements, design solutions, write the code, test it, and ship it Break complex specifications into concrete tasks with realistic schedules and flag risks early Proactively identify and fix weaknesses in the codebase, the test coverage, and the development process Investigate and resolve production defects, and trace root cause when symptom and source are not in the same place Apply secure coding practices, surface vulnerabilities in code reviews, and fix security issues as they arise Review code from other engineers with the same rigor you expect on your own work Evaluate and integrate open-source tools and libraries where they improve the systems you work on Mentor junior engineers through code reviews, pairing, and direct technical guidance Communicate clearly across a distributed, cross-timezone team Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related discipline, or equivalent experience 5-10 years of software development experience Strong proficiency in at least one of: Java, C#/F# (.NET), C++, Python, or TypeScript (React/Angular/Node.js) Experience owning the full development cycle: requirements analysis, design, implementation, testing, and delivery Experience debugging production software and tracing root causes that span multiple components or layers Clear written and verbal communication, including the ability to explain technical decisions and trade-offs to teammates and stakeholders Preferred Experience with cloud-native development, full-stack or web application development, or data platform technologies Experience with CI/CD pipelines, containerization, and infrastructure automation Background in enterprise software, SaaS platforms, or technically demanding application domains (scientific computing, real-time systems, large-scale data) Exposure to integrating machine learning, generative AI, or LLM-based components into application features Experience mentoring less experienced engineers Energy industry experience is not required but is a strong plus. We welcome candidates from all backgrounds and encourage you to apply even if your experience does not match every item in the preferred list. How You Work The engineer who succeeds in this role brings independent judgment to their work and applies it consistently. You own your assignments end to end, communicate clearly when something is off track, and treat code reviews as a genuine quality tool rather than a formality. You are comfortable working across time zones, adaptable when requirements shift, and focused on delivery outcomes rather than task completion. You pick up new tools and techniques on your own, evaluate them critically, and bring the ones that work to your team. You help the engineers around you improve because you understand that team quality compounds over time. Why Landmark We build small, high-ownership teams and invest in the quality of every person on them. You will work in a business where software is the product, the work you do matters, and the standards are high. You will own real work that ships, learn from engineers who push you, and grow into the kind of engineer the team relies on. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation Location 97 Jubilee Avenue, Milton Park,Abingdon,Oxfordshire,OX14 4RW, United Kingdom Job Details Requisition Number:210132 Experience Level:Experienced Hire Job Family:Engineering/Science/Technology Product Service Line:Landmark Software & Services Full Time / Part Time:Full-time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.

Senior Data Engineer Who We Are Simple Machines is a global, independent technology consultancy operating across Sydney, New Zealand, London, and Poland. We design and build modern data platforms, intelligent systems, and bespoke software at the intersection of Data Engineering, Software Engineering and AI. We work with enterprises, scale-ups, and government to turn messy, high-value data into products, platforms, and decisions that actually move the needle. We don't do generic. We build things that matter - We engineer data to life . The Role This is a hands on senior engineering role, not an architecture only seat and not a support function. You'll be responsible for technical direction, platform design and architectural decision making. You'll design and build greenfield data platforms, real-time pipelines, and data products for clients who are serious about using data properly. You'll work in small, high calibre teams and operate close to both the problem and the client. If you enjoy solving hard data problems, shaping modern architectures (data mesh, data products, contracts), and delivering real outcomes - this is your lane. What You'll Be Doing Lead Platform & Architecture Design Own the end-to-end architecture of modern, cloud native data platforms Design scalable data ecosystems using data mesh, data products, and data contracts Make high impact architectural decisions across ingestion, storage, processing, and access layers Ensure platforms are secure, compliant, and production grade by design Build Modern Data Platforms Design and deliver cloud native data platforms using Databricks, Snowflake, AWS, and GCP Apply modern architectural patterns: data mesh, data products, and data contracts Integrate deeply with client systems to enable scalable, consumer oriented data access Develop High-Performance Pipelines Build and optimise batch and real time pipelines Work with streaming and event driven tech such as Kafka, Flink, Kinesis, Pub/Sub Orchestrate workflows using Airflow, Dataflow, Glue Work at Scale Process and transform large datasets using Spark and Flink Design systems that perform in production - not just on paper Own Data Storage & Performance Work across relational, NoSQL, and analytical stores (Postgres, BigQuery, Snowflake, Cassandra, MongoDB) Optimise storage formats and access patterns (Parquet, Delta, ORC, Avro) Cloud, Security & Governance Implement secure, compliant data solutions with security by design Embed governance without killing developer velocity Consult and Influence Work directly with clients to understand problems and shape solutions Translate business needs into pragmatic engineering decisions Act as a trusted technical advisor, not just an order taker Technical Leadership & Quality Set engineering standards, patterns, and best practices across teams Review designs and code, providing clear technical direction and mentorship Raise the bar on data quality, testing, observability, and operational excellence What We're Looking For Core Engineering Strength Strong Python and SQL Deep experience with Spark and modern data platforms (Databricks / Snowflake) Solid grasp of cloud data services (AWS or GCP) Architecture & Design Judgement Demonstrated ownership of large-scale data platform architectures Strong data modelling skills and architectural decision making ability Comfortable balancing trade offs between performance, cost, and complexity Data Platform Experience Built and operated large scale data pipelines in production Strong data modelling capability and architectural judgement Comfortable with multiple storage technologies and formats Engineering Discipline Infrastructure-as-code experience (Terraform, Pulumi) CI/CD pipelines using tools like GitHub Actions, ArgoCD Data testing and quality frameworks (dbt, Great Expectations, Soda) Delivery & Consulting Mindset Experience in consulting or professional services environments Strong consulting instincts - able to challenge assumptions and guide clients toward better outcomes Comfortable mentoring senior engineers and influencing technical culture Why Simple Machines You'll work on interesting, high-impact problems You'll build modern platforms, not maintain legacy mess You'll be surrounded by senior engineers who actually know their craft You'll have autonomy, influence, and room to grow If you're a senior data engineer who wants to build properly, think clearly, and deliver real outcomes - we should talk.

At the UK Data Archive, home to the UK's largest collection of social science survey data, we are on a mission to become a world-class repository for cross-disciplinary data. Central to our strategy is the adoption of modern software engineering practices such as testing, security, and building in quality during the development. We are looking for a Senior software engineer who will be instrumental in achieving these goals by helping to build innovative software solutions while working within an AWS cloud infrastructure first environment. This role is a great opportunity for someone who is creative and eager to make a real difference. You will be part of a driven, mixed team and work in a place that really values learning and experimentation. You will be a key member of the development team and work closely with them. As a Senior Software Engineer, you will play a pivotal role in delivering software solutions that are cloud native, safe, secure, robust, and highly performant. Your involvement will be instrumental in creating innovative solutions that provide meaningful value to end users and impact them in a positive way. Your core responsibilities will include designing, maintaining, and optimising the software solutions as part of the development team. You will have a keen focus on automation, ensuring that all aspects of the SDLC that can be automated, are automated, to facilitate continuous integration and rapid development and deployment cycles. You will also be responsible for ensuring the security of the software design. This includes implementing robust security policies and ensuring compliance with industry standards and best practices for handling and managing data. As a Senior Software Engineer, you will require a strong foundation in C# and .NET Core, coupled with expertise in AWS services. You must be proficient in designing and implementing scalable cloud-native architectures, leveraging technologies like Terraform or AWS CDK. A solid understanding of relational and NoSQL databases, as well as front-end technologies, is essential. Additionally, experience with DevOps practices, including CI/CD pipelines and containerization technologies like Docker and Kubernetes, is highly desired. Strong problem-solving skills, effective communication and collaboration abilities, and a passion for mentoring junior engineers and staying updated with the latest C# and .NET trends are also highly valued. Optional Python skills can be beneficial for data science, machine learning, or automation tasks. Familiarity or being comfortable with Linux would be very welcomed. Interest in other statically typed languages such as Java would be valued. This post is full-time and fixed term until 31st March 2030. Whilst this is a full-time post, we would also consider applications from anyone looking to work 0.8 FTE or from those looking to work as part of a job share arrangement (18 hours per week). This post involves access to Government systems, information or data and will be subject to the staff vetting process. Further information can be found in the job pack. Please use the Apply button to read further information about this role including the full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role. You will also find details of how to make your application here. Our website contains more information about the University of Essex. If you have a disability and would like information in a different format, please email .

We're Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world's potential. We're people-centric and here to power good.Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our companyand customers from what's now to what's next.We make it happen through the power of acceleration. Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don't expect you to 'fit' every requirement - your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. Job Description Mandatory Skills: Observability, Resiliency, Service Management, Reliability, Performance engineering, Scalability, release management, Cloud cost management. Role Description Skills: ROLE PURPOSE Lead the Site Reliability Engineering practice, driving the transformation from reactive operations to proactive, engineering-led reliability. Own the definition and enforcement of non-functional requirements (NFRs) using FMEA-based resiliency frameworks, and champion observability, self-healing automation, automated incident management, and database operations automation. Ensure systems are resilient, performant, cost-optimised, and continuously improving. KEY RESPONSIBILITIES Define and enforce non-functional requirements (NFRs) for performance, scalability, availability, fault tolerance, and cost efficiency using FMEA-based failure analysis Design and implement self-healing automation for known failure patterns, reducing human intervention and on-call burden by 50%+ Build comprehensive observability stacks (metrics, logs, traces) with ML-driven anomaly detection and AIOps capabilities Lead automated incident management: detection, triage, escalation, remediation, and post-incident review automation Drive DB automation: automated provisioning, release management (UK focus), backup/restore, and operational request workflows for all database operations Define and track SLIs, SLOs, and error budgets across all critical services, using them to balance reliability with feature velocity Conduct chaos engineering exercises and game days to validate resiliency and uncover hidden failure modes Mentor 2 SRE Engineers, establish engineering standards, and build a culture of reliability and continuous improvement Collaborate with Platform Engineering and Cloud teams to embed reliability into infrastructure and deployment pipelines TECHNICAL SKILLS & EXPERTISE Expert-level observability: Prometheus, Grafana, ELK/OpenSearch, Jaeger/Zipkin, Datadog, or Dynatrace Strong experience with AIOps and ML-driven monitoring: PagerDuty, Moogsoft, BigPanda, or custom ML pipelines Deep knowledge of FMEA, fault tree analysis, and chaos engineering tools (Gremlin, LitmusChaos, Chaos Monkey) Database automation: strong SQL skills plus experience with automated DB provisioning, migration tools (Liquibase, Flyway), and DB release pipelines Proficiency in automation and scripting: Python, Go, Bash, with experience building self-healing runbooks Infrastructure knowledge: Kubernetes, cloud platforms (AWS/Azure/GCP), networking, and storage systems CI/CD and release engineering: Jenkins, GitLab CI, Spinnaker, ArgoCD for integrated DB and application releases Cost management: experience with FinOps principles, resource optimisation, and cloud spend analysis SOFT SKILLS & COMPETENCIES Strong leadership and mentoring ability - coaches and develops junior engineers Excellent stakeholder management and communication skills across all levels Strategic thinker who balances technical depth with business outcomes Proven ability to drive change, influence without authority, and build consensus Strong analytical and problem-solving mindset with attention to detail Ability to manage competing priorities across multiple workstreams simultaneously QUALIFICATIONS & EXPERIENCE 7+ years in SRE, DevOps, or production engineering with 3+ years in a senior or lead capacity Proven track record of improving availability, reducing MTTR, and implementing self-healing at scale Experience managing or automating database operations in enterprise environments Relevant certifications preferred: CKA, AWS DevOps Professional, Azure DevOps Expert, SRE Foundation Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) DESIRABLE / NICE TO HAVE Published work or conference talks on SRE, observability, or chaos engineering Experience with service mesh (Istio) and distributed tracing at scale Background in financial services or regulated industry SRE practices About Us We're a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you. Fostering innovation through diverse perspectives Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth. We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work. How we look after you We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform's AI roadmap. Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons. What we look for Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands-on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred Preferred Experience working with Apache Spark to process large-scale distributed datasets Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Can meet expectations for technical training and role-specific outcomes within 3 months of hire Can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region. Our Commitment to Diversity and Inclusion

ReqID: FEQ427R340 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for the company customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the the company Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform's AI roadmap. Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons. What we look for Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands-on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred Preferred Experience working with Apache Spark to process large-scale distributed datasets Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. Can meet expectations for technical training and role-specific outcomes within 3 months of hire Can travel up to 30% when needed About the company the company is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the the company Data Intelligence Platform to unify and democratize data, analytics and AI. the company is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow the company on Twitter, LinkedIn and Facebook. At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Multiple locations Hybrid Are you an engineer who has shipped distributed backend systems at scale, knows what breaks in production, and fixes it before it does? Do you want your work to have a direct impact on the wellbeing of millions of people across Europe? If yes - read on. The company is one of Europe's fastest-growing companies (Financial Times, multiple years running). We're a leading provider of employee benefit solutions, operating across Finland, Germany, Italy, UK, France, the Nordics and beyond. We started in Helsinki in 2007, launched Europe's first mobile employee benefit payment in 2008, and haven't stopped building since. Your mission at the company You will join a cross-functional product team building and evolving a modern, distributed platform that powers the company's product vision across European markets. We are adding this role to strengthen our backend engineering capabilities and establish a solid, scalable foundation for Java Spring Boot services built for long-term growth - not just the next sprint. Your responsibilities will be: Design, build, and maintain high-quality Java Spring Boot microservices within our domain bounded context architecture. Implement event-driven patterns for cross-domain communication and eventual consistency - you understand why, not just how. Work with PostgreSQL as primary data store: schema design, multi-tenancy, data isolation, query optimization under real load. Implement RESTful APIs with proper versioning, rate limiting, and API gateway integration. Ensure high standards for code quality, testing (unit, integration, contract), performance, and security - >80% coverage is the floor, not the ceiling. Collaborate closely with Product, Frontend (React Native), DevOps, and backend teams across multiple European markets. Participate in architectural discussions and design reviews; contribute to platform-wide standards and decision records (ADRs). You'll be successful in this role if you: Deliver production-ready, scalable microservices that meet target architecture specs - and own them after go-live. Define clear domain boundaries that prevent cross-domain coupling while enabling integration through well-designed APIs and events. Maintain >80% test coverage and contribute ADRs that shape platform decisions - not just for your services, but for the team. Proactively identify and reduce technical debt before it becomes someone else's emergency. Communicate clearly, work effectively across teams and time zones, and make cross-functional collaborators want to pull you into early conversations. Operate with a 'you build it, you run it' mindset - and genuinely believe that's the right way to work. What you'll be doing (daily): 15-minute stand-up with your cross-functional domain team - align, unblock, move. Design and implement features in your domain using Java Spring Boot, with clean, testable code as the default. Write comprehensive unit and integration tests; participate in code reviews that raise the team's standard. Monitor service health, investigate data consistency issues, and resolve production problems with distributed tracing and structured logging. Collaborate with frontend engineers to clarify API contracts and coordinate releases. Participate in architectural discussions and design reviews for new or cross-cutting capabilities. Deploy to staging and production via CI/CD (GitHub Actions), using feature flags for controlled rollouts. What you should bring: Non-negotiable: 6+ years of professional software development, with 3+ years focused on Java backend - in production, at scale, with real failure modes you had to resolve. Deep expertise in Java 17+ and Spring Boot (Spring Data JPA, Spring Security, Spring Cloud). Microservices architecture: you've designed service boundaries, not just worked inside them. Domain-Driven Design: bounded contexts, aggregates, domain events, anti-corruption layers - you can apply this, not just describe it. PostgreSQL: schema design, indexing, query optimization, and transaction management under load. Event-driven architecture with Kafka, RabbitMQ, or AWS SNS/SQS - at scale, in production. RESTful API design: versioning, OpenAPI/Swagger documentation, rate limiting - contracts you'd stand behind in a design review. Testing discipline: JUnit, Mockito, integration and contract testing (Pact). Docker and Kubernetes: deployment strategies, service mesh - operational experience, not just familiarity. CI/CD pipelines: GitHub Actions, Jenkins, or GitLab CI. Observability: structured logging, distributed tracing (Jaeger/Zipkin), metrics (Prometheus/Grafana/Datadog). Active experimentation with AI/LLM tooling applied to real engineering problems - automated workflows, reduced manual ops, smarter exception handling. Not a side project: something in production that you can talk about with specific. Mentoring: you've made other engineers meaningfully better, not just shipped more code. Language profile: Fluent in English Track record: You've delivered and operated microservices in production - from design through deployment, on-call, and post-mortem. You've made measurable improvements to performance, reliability, or scalability (reduced latency by X%, improved uptime to Y, scaled from Z to ZZ req/s). You've collaborated effectively in cross-functional teams and left documentation behind that others actually used. You've contributed to technical decision-making: architecture reviews, design documents, or ADRs that had real consequences. You've led knowledge-sharing sessions or mentored engineers who are better for it. Competency profile: Systems Thinking: You understand how components interact in distributed systems. You design for failure scenarios, not just the happy path. Ownership & Accountability: You take end-to-end responsibility. When something is broken or missing, you raise it and fix it - you don't wait for the ticket. Pragmatic Problem-Solving: You balance ideal solutions with practical constraints. You know when to move the architecture forward and when to ship. Collaboration & Influence: You shape technical decisions through quality of argument, not seniority. You can disagree and commit - and you know when to do which. AI-Readiness: You think about AI strategically, not just tactically. You've embedded AI-driven automation into production systems, can evaluate where it adds real leverage versus where it creates noise, and actively help the team develop this fluency. Continuous Learning: You stay current, experiment, and adapt. You optimize for the codebase 2 years from now, not just the sprint. Quality Mindset: You build maintainable, secure, well-tested services. You document, you mentor, you leave things better than you found them. Why you should join us: Be part of an ambitious growth journey - join a global community of driven, bold, entrepreneurial, yet humble Epassians in a company that is constantly evolving. Work with a clear purpose - boosting everyday wellbeing - and create meaningful, positive impact on individuals and society. Thrive in an open, inclusive culture with low hierarchy, where relationships are built on respect, camaraderie, and shared success. Come as you are - we'll bring out the best in you and support your personal and professional growth. Join a fast-growing tech company with a strong financial foundation, offering real opportunities to make an impact. Work in an environment where employee wellbeing is a genuine priority, not a slide in a deck. Help shape the next wave of success as we consolidate our position as Europe's number one employee benefit platform. Benefits: Hybrid and flexible working style Modern working tools International environment Benefit package for wellbeing support Private health support

Job Title: Senior Python Developer Contract type: Contractor Contract hours: Full-time Location: Remote (within 2 hours of London timezone) Salary: €60k - €70k About Adzuna Adzuna is a job search engine that lists every job, everywhere. From our launch in the UK in 2011, we now have tens of millions of visitors a month and are busy conquering the world from our HQ in West London alongside our remote teams - helping millions of people find better, more fulfilling jobs. We already have a suite of AI-powered tools (such as ValueMyCV, Prepper and ApplyIQ) built by our talented team and their passion for building new AI-powered tech for job seekers. We're a commercially minded team that moves fast, takes ownership and loves what we do. About the Role This is a fantastic opportunity for a high-impact Senior Python Developer and Tech Lead to join our fast-moving team. In this pivotal leadership role, you will work closely with our Head of Tech/AI coding to migrate this team and the technology they own to a single, high-performing team working on our new Python-based platform using Agentic AI coding techniques. You will provide technical stewardship across our full stack, architecting robust backend services and guiding the development of cutting-edge AI products. Working alongside Product Managers and Data Scientists, you will lead the transition of machine learning prototypes into production-ready applications for millions of users, while mentoring engineers and driving the long-term technical strategy for our AI-powered tools. What You'll Do Technical Leadership & Mentorship: Act as a tech lead in one of our tech teams, unifying disparate development silos and fostering a culture of excellence through code reviews, architectural guidance, and mentorship of a small team of engineers. Architectural Stewardship: Lead the design and implementation of scalable backend API endpoints and LLM pipelines, ensuring the seamless integration of agentic frameworks into our production stack. Data Strategy: Architect high-throughput data pipelines to move clean, processed data between databases and user interfaces, maintaining system integrity and performance. Infrastructure & Security: Engineer secure infrastructure for user authentication, session persistence, and memory caching while optimizing AWS environments for high availability. Strategic Execution: Drive the migration from legacy systems to our new Python stack, making critical decisions on maintenance mode vs. new development to maximize business value. Tech Stack Includes: Languages & Frameworks: Python, Spark, LLMs & LLM coding tools Frontend: React, HTML, CSS (Tailwind) AWS Ecosystem: EC2, S3, Lambda, Step Functions, RDS, Athena, Kinesis Databases & Search: PostgreSQL, MySQL, SOLR While we look out for all of these skills, we do not expect experience in all of them. We value a strong foundation in core programming principles and a genuine eagerness to learn. Experience: Extensive commercial software development experience with a focus on Python, including a proven track record in technical leadership or lead developer roles. Location: Fully remote (must be located within a 2-hour timezone of London and able to work standard UK business hours). Right to Work: This is a permanent, long-term role structured via a contractor agreement for international remote compliance. Candidates must have the legal right to work remotely as an independent contractor in their country of residence. We are unable to provide visa sponsorship for this position now or in the future. Communication: Professional proficiency in English (both written and verbal) to collaborate effectively with a global team. Education: A technical degree (2:1 or equivalent) in Computer Science, Software Engineering, or a highly relevant field. Core Coding Skills: Strong understanding of Python fundamentals and object-oriented programming. Execution: Record of writing clean, maintainable Python code into live, user-facing environments. Databases: Strong expertise in MySQL and/or PostgreSQL and relational databases. Cloud & Tools: Familiarity with AWS services and Git version control. Strategic Mindset: A results-driven thinker who focuses on commercial outcomes and can serve as a subject matter expert for senior leadership regarding the Python ecosystem and AI/ML frameworks. AI Applications: Experience with coding LLMs into production applications, and effectively utilising agentic AI coding in your daily workflow. Nice to have: Frontend Coding Skills: Familiarity with HTML, CSS (Tailwind) and React to assist in building fullstack user interfaces. Browser Automation: Understanding of web scraping techniques, DOM parsing, and bypassing common bot-detection. Experience with browser automation and testing tools (e.g. Playwright, Selenium). Portfolio: An active GitHub profile showcasing examples of your work, or personal projects. Reward: Our package which includes a competitive salary and stock options (we are all owners!). Wellbeing: Amongst other things, enhanced maternity and paternity leave; 25 days paid holiday per year plus 8 bank holidays; 3 paid volunteer days/year; Summer hours through July and August (we finish at 4pm on a Friday); and a full programme of wellbeing activities and events. Hybrid working: We are a fully hybrid company - half our workforce is remote. With employees located in different time zones, we embrace asynchronous work and ensure that everything we do reflects the hybrid nature of our workforce so that everyone feels included. In addition, we have a travel programme, to help facilitate effective hybrid working. Diversity & inclusion: We are committed to hiring a diverse workforce and creating an environment where everyone feels included and welcome. Our D&I committee helps deliver a programme of activities and actions to support this important area. Training: Learning and development is an important pillar of our culture and there are plenty of opportunities to learn, develop and grow whether through our Adzuna Academy training programme, attending conferences, team training budgets, individual development plans and coaching from experienced and supportive peers and managers. Fun stuff: We have a packed social calendar, twice yearly global team get-togethers and an enviable culture thanks to the amazing and smart people who make Adzuna a great place to work. Lots of this is done virtually to ensure that everyone is included. A bit more about Adzuna Adzuna is an established and profitable job search engine that lists every job, everywhere. Launched in 2011, we help over 10 million visitors a month in 19 markets find better, more fulfilling jobs. Governments and the world's largest companies trust us for our unique global audience and jobs market intelligence, and we walk the walk on things like salary transparency and gender pay. Adzuna's success to date has been down to the skills and determination of our brilliant staff and their passion for job seekers. If you like the sound of applying your skills in a pivotal role in a leading global technology business, apply to join us today. We treat jobseekers as people, not as products. We do the same for our team, seeing the diverse range of strengths they bring to our business. Regardless of background, race, gender, sexuality or ability, we welcome everyone to our team. Our people are the most important asset we have. Please let us know if we need to accommodate a disability during the hiring process, so that we can give you the support you need. Proud member of the Disability Confident employer scheme.

Funding End Date 31 Aug 2028 Hours per week 37 Project Title Senior Project Software Developer (COPO) Months Duration 24 Flexible Options Although full-time hours are available, applications from those interested in working part-time hours are also welcomed. Job Description Main Purpose of the Job The Earlham Institute is seeking a versatile full-stack Research Software Engineer (RSE) to join the team behind COPO (Collaborative OPen Omics). COPO is a production-deployed metadata and data-brokering platform that has been developed and operated at the Institute since 2015. COPO underpins some of the largest biodiversity genomics programmes attempted to date, having brokered more than 80,000 samples from over 4,800 species to public repositories such as the European Nucleotide Archive, with automated validation, expert curation and full audit trails. The successful candidate will join the small engineering team that builds and operates COPO, contributing across the full stack -frontend interfaces, APIs, and the services that connect them to the platform's validation, curation and submission pipelines. Data visualisation, dashboards and API design will be at the centre of the role, but the post is deliberately broad: COPO supports a range of research communities and projects, and the work varies with the needs of those the platform serves. This is a broadly scoped full-stack role with metadata validation, translation, visualisation and API design as its primary focus. It suits an engineer who enjoys turning complex scientific data into clear, reliable, well-documented interfaces that researchers and the wider community can depend on. Being a senior, hands-on role, you will own significant components of the project end to end, make day-to-day architectural decisions, and drive delivery to time. Key Relationships Internal: COPO Team Lead / Group Leader (direction, prioritisation, line management); the COPO development team of fellow engineers and frontend developers (collaboration, code review, and mentoring); EI bioinformaticians and research scientists (scientific and metadata requirements); Scientific Computing / IT infrastructure teams (compute, storage and platform services); and project managers / programme coordinators (planning, reporting and effort estimates). External: genomics and biodiversity programmes and projects that COPO supports; EMBL-EBI / ELIXIR services such as ENA and BioSamples; other public repositories and registries such as Zenodo and DataCite; metadata-standards communities including RO-Crate, ISA, MIxS, Darwin Core and Bioschemas; and the wider open-source community and downstream COPO users. Main Activities & Responsibilities Dashboards, data visualisation and data portals Design, build and maintain interactive dashboards and public data portals, from data model through to production deployment. Translate complex, multi-source scientific metadata into clear, accurate and accessible visualisations. Build reporting and summary views that are reproducible and auditable, including snapshots for governance and reporting. Apply good practice in accessibility, responsive design and information design so that outputs are usable by researchers and the public alike. APIs and backend services Develop, document and maintain RESTful APIs that expose metadata in multiple formats for internal tools and external consumers. Integrate frontend and portal services with COPO's validation, curation and submission pipelines. Ensure APIs are performant, versioned, secure and well documented so third parties can build against them with minimal support. Full-stack engineering and platform contribution Contribute across the COPO codebase: frontend, backend and supporting services as a flexible member of a small engineering team. Write clean, tested, maintainable code with appropriate use of version control, code review, CI/CD and containerisation (Git, Docker). Help deploy and operate COPO instances, working with colleagues on deployment, monitoring, backup and reliability. Collaboration, standards and support Work closely with the technical lead and engineering colleagues to extend the platform and its metadata standards. Help add support for new data types and metadata schemas, and reflect these in the interfaces and APIs you build. Support research users onboarding onto the platform, including documentation, tutorials and responsive help. Produce clear technical documentation and contribute to open-source releases under permissive licences. As agreed with line manager, any other duties commensurate with the nature of the role. Person Profile Education & Qualifications Requirement Importance Degree (or equivalent professional/practical experience) in computer science, software engineering, bioinformatics or a related discipline Essential Specialist Knowledge & Skills Requirement Importance Proficiency with version control (Git) and collaborative development workflows, including code review Essential Understanding of FAIR data principles, ontologies or controlled vocabularies Essential An understanding of, and willingness to apply, good engineering practice: automated testing, clear documentation and basic security awareness Essential Able to translate complex requirements into clear, usable interfaces, with strong attention to accuracy and detail Essential Familiarity with cloud or research-computing infrastructure Desirable Exposure to genomics, biodiversity, ecology or a related life-science domain Desirable Requirement Importance Demonstrable experience building and maintaining full-stack web applications in JavaScript and a backend language (Python preferred) Essential Experience designing, building and documenting RESTful APIs Essential Experience with containerisation and deployment (Docker; CI/CD pipelines) Essential Experience designing and building data visualisations or dashboards, using libraries such as Plotly, D3, or equivalent Desirable Experience working with structured or scientific data, metadata standards, or data-intensive systems Desirable Management and Leadership Requirement Importance Experience mentoring, coaching or line-managing other developers Essential Interpersonal & Communication Skills Requirement Importance Committed to open, reproducible and well-tested software Essential Able to work both independently and as a flexible, collaborative member of a small team Essential Good written and verbal communication skills, including the ability to produce clear technical documentation and explain technical matters to non-specialists Essential Comfortable working with, and responsive to, a distributed community of research users Essential Able to work independently, use initiative and apply problem solving skills Essential Additional Requirements Requirement Importance Promotes equality and values diversity Essential Attention to detail Essential Willingness to embrace the expected values and behaviours of all staff at the Institute, ensuring it is a great place to work Essential Able to present a positive image of self and the Institute, promoting both the international reputation and public engagement aims of the Institute Essential Willingness to work outside standard working hours when required Essential Ability to maintain confidentiality and security of information where appropriate Essential Who We Are About the Earlham Institute The Earlham Institute harnesses the power of data-driven biology to accelerate solutions for health, biodiversity, and food security. Based at Norwich Research Park, the Earlham Institute is one of eight institutes strategically funded by BBSRC. Our science combines world-class technology, interdisciplinary expertise, and training and development across genomics, engineering biology and data science, to decode the scale and complexity of living systems. We believe we can achieve more if we work together. That's why we collaborate with the global science community and industry partners, while also inspiring the next generation of scientists and technical specialists. Our Science Earlham Institute scientists specialise in developing and testing the latest tools and approaches needed to decode living systems and make biological predictions. We are home to state-of-the-art facilities and technology, creating a unique combination of expertise and infrastructure. We have dedicated laboratories for genome sequencing, single-cell analysis, engineering biology, and large-scale automation; as well as one of the largest supercomputing facilities for life science research in Europe. Our Advanced Training team also provides access to specialised scientific training to upskill the next generation of research and technical staff. Our Culture Our collegiate and innovative research environment comes with significant support, including a commitment to your professional development, research and administrative assistance, and opportunities to build collaborations with scientists and industry on the Norwich Research Park, across the UK, and internationally. The Institute is also home to talented technical and operational staff, whose invaluable contributions enable our science to have the maximum impact. We aim to recognise, reward, and develop all staff and students so that every individual feels able to achieve their best with us. We work hard to nurture an engaged and positive workplace, centred on core values that include openness, technical excellence, and collaboration . click apply for full job details

Location: Cardiff Hybrid Salary: up to £68,000, depending on experience plus a potential bonus up to £13,600 A hands-on senior role where you'll solve complex technical problems, deliver large and demanding pieces of work, and support the more junior engineers around you, at one of Europe's leading financial businesses About LDMS Founded in 2018, LDMS is part of the LC Financial Holdings group, a three-pillar organisation with over 950 employees across Europe. Between us we have more than 20 years of world-class credit expertise. We build digital lending software in a market growing around 18% a year. We want to lead that space, and to do it we need people who can think, create and challenge each other to find the best solutions for our customers. We have an ambitious to-do list: improving what we've built, building new products, and moving into new markets. The Role You'll join the Engineering team at LDMS as a Senior Engineer, working within a single team and reporting to an Engineering Team Lead. You'll take on challenging problems your team faces, including designing solutions to complex features and writing the design documentation that others build from. You'll work within the technical direction set by your Lead Engineer and be one of the people they rely on to turn that direction into working software. Our stack is React and TypeScript on the frontend, Java with Spring Boot on the backend, and PostgreSQL with schema-per-tenant multi-tenancy underneath, all cloud-hosted on AWS. You'll hold the quality bar for your team through code review, pairing and the example you set, and you'll lead the delivery of large features. Mentoring and growing more junior engineers is a core part of the job. As you develop, your influence will start to reach beyond your own team. This is a senior hands-on role, not a line-management one. Key Responsibilities These may change with the needs of the business, but the main areas are: Technical Skills Design solutions to complex features and write the design documentation that other engineers build from. Hold the technical quality bar for your team through code review, pairing and the example you set. Spot gaps in testing, security or performance across your team's work, and fix them or make the case for fixing them. Work within the technical direction and standards set by your Lead Engineer and feedback into them where you see a better approach. Watch for scaling, reliability and operability problems before they cause incidents and help keep the team's work observable and secure. Delivery Lead the delivery of large features, involving other engineers. Turn vague or unclear requirements into concrete engineering work the team can pick up. Keep the team's delivery standards up, and step in when they slip rather than waiting to be asked. Make sound decisions when the information is incomplete and keep work moving when requirements change or things get blocked. Impact Make a real difference to your team's output, quality and technical ability. Help junior and mid engineers get better through pairing, honest feedback and giving them work that stretches them. Contribute to department-wide engineering standards and documentation. Help shape your team's goals and technical plans and connect the work back to what the business is trying to achieve. Take part in hiring, running technical interviews and giving well-reasoned assessments of candidates. Communication Explain technical decisions clearly to both engineers and people without a technical background. Write things down well, such as designs, technical documentation and runbooks that other people can pick up and use. Help the team reach agreement on hard or contested technical questions. Give clear, specific and kind feedback in code reviews. Inform your Engineering Team Lead promptly when a piece of work is failing behind, rather than letting it surface late. AI and Innovation Explore new tools, including AI, and help bring the genuinely useful tools into your team's day-to-day work while being honest about where they fall short. Follow the team's agreed approach to AI-assisted work so that what gets produced stays consistent, secure and good quality. Use AI coding tools such as Claude in your day-to-day development, moving faster while keeping design quality, security and maintainability high. Essential Strong, hands-on expertise in Java (preferably Java 25+) with a solid command of Spring Boot. Strong relational database skills, ideally PostgreSQL, including schema design and migrations. A track record of designing and delivering complex features, with design work that other engineers could build from. Experience holding a quality bar through code review, pairing and example, and mentoring more junior engineers. Comfortable working within an established architecture and set of standards and improving them where you see a better way. Familiar with observability in practice, and how services are instrumented, monitored and debugged (for example Prometheus, Grafana). Experience keeping a codebase secure and current, including dependency upgrades and vulnerability scanning. Comfortable working with CI/CD pipelines (for example Jenkins) and a sound understanding of performance and scalability. Clear communicator, able to explain technical decisions to engineers and non-technical colleagues. Comfortable making sound decisions when the information is incomplete. Desirable Experience using AI coding tools such as Claude well as part of day-to-day engineering. An understanding of what it takes to build software in a financial environment. A widening base across the stack, such as performance, data, security, reliability and cloud so you can weigh up decisions beyond your own area. Experience working with cloud-hosted systems on AWS, and an understanding of hosting, scaling and cost trade-offs. Exposure to React and TypeScript, enough to work sensibly with patterns defined. Familiarity with tools such as Keycloak for identity and AWS S3 for storage. What's Important to Us Our passion is tech, but the people we bring together are the heart of the business. Over the years we've recruited a fairly eclectic bunch, with hobbies from gaming to ultra-marathon running, snowboarding to chess, hiking to climbing. What we share are our values: Teamwork Merit Develop Honest Impactful Integrity They might look like corporate jargon, but they mean something to us. If they sound like you, get in touch. There's a good chance you'd be a great fit. Discretionary bonus 25 days annual leave (plus bank holidays) Opportunity to purchase additional annual leave 1 day birthday leave 1 day charity leave Private health insurance Employee Assistance Programme (EAP) Season ticket loan for transport Eye care Pension (3% / 5% contribution) Salary sacrifice schemes (cycle to work and electric vehicle) Monthly socials Charity events The discretionary bonus will be pro-rata'd during your first year with the Company.