We're looking for a Platform Engineer to join our Application Platform team. You'll help build and operate the deployment platform, tooling, and developer experience that every engineering team at dunnhumby relies on to ship software to production.

This role can be based from either our London or Manchester office.

You'll join at a moment when we're moving our retail analytics platform from monthly bundled releases to continuous per-service deployment on Kubernetes. You'll be hands-on with that migration in your first few months and then stay on long-term as a core member of the team that owns and evolves the platform. It's a clear path into senior platform engineering for someone who has shipped production Kubernetes work and wants to grow their craft on a platform used by hundreds of engineers.

Responsibilities

• Build and maintain the platform primitives that enable service teams to deploy independently, including ArgoCD application manifests, GitOps repository lifecycles, reusable Helm chart templates, and External Secrets Operator configuration.
• Pair with engineers across product and data teams as they onboard onto the new platform, addressing repeated questions at the template layer to prevent recurring issues.
• Contribute to platform design discussions and help shape the paved road that engineers across dunnhumby build on.
• Author and maintain reusable GitLab CI pipeline templates covering build, test, publish, deploy, and post‑deploy stages.
• Work with service teams to migrate pipelines onto the platform standard and retire bespoke per‑service deployment scripts.
• Continuously improve build times, pipeline reliability, and developer feedback loops.
• Respond to platform alerts during working hours, triaging ArgoCD sync failures, secret synchronisation errors, and flaky pipelines.
• Join the Application Platform on‑call rotation once ramped up (typically after the first few months).
• Instrument platform tooling with structured logging and dashboards to improve visibility without manual investigation.
• Write unit and integration tests to meet SonarQube coverage requirements and create smoke tests for deployment workflows — no green CI, no merge.
• Keep migration playbooks, ArgoCD setup guides, and per‑service pipeline documentation accurate and up to date.
• Share learnings with the squad through regular knowledge‑sharing sessions.

What we expect from you:

• Strong professional software or platform engineering experience, shipping code or infrastructure to production within a team environment
• Hands‑on Kubernetes experience on GKE, AKS, or EKS, with confidence using Deployments, Services, Ingress, ConfigMaps, Secrets, and RBAC
• Helm experience, including writing or substantially modifying charts, with a solid understanding of values files, templates, hooks, and chart dependencies
• Experience with GitLab CI or a comparable CI tool (e.g. GitHub Actions, Azure DevOps, Jenkins, CircleCI), having built or meaningfully modified pipelines rather than just used them
• Production experience with Python or Go, with the ability to discuss real code from professional work
• Confidence working with Linux, Bash, Docker, and standard Unix tooling
• Strong Git practices within a team environment, including branching strategies, PR/MR workflows, review feedback, and merge conflict resolution
• A proven track record of shipping to production in a professional team setting (not solely prototype or personal projects)
• Exposure to ArgoCD, Flux, or another GitOps tool is a strong plus
• Experience with External Secrets Operator, Vault, or similar secret‑sync patterns is beneficial
• Familiarity with Terraform, multi‑cloud environments (GCP and Azure), observability tooling (e.g. New Relic, Datadog, Prometheus, Grafana), or contract testing with Pact would be valuable

About the Role

At Obsidian, we relentlessly pursue clarity in a landscape defined by complexity. We’re looking for Security Research Engineers who thrive at the intersection of security research and product engineering. You’ll dig deep into SaaS platforms, craft high-impact product features, and help shape the defensive strategies that protect our customers at scale.

This role is for someone who loves gaining a deep understanding of complex systems, who enjoys thinking like an attacker, and who wants to create category-leading security solutions for Obsidian's customers.

What You’ll Do

• Gain an in-depth understanding of major SaaS or AI platforms to identify critical security insights. 
• Explore and prototype solutions to integrate data across SaaS and AI platforms to identify toxic combinations of risks that can lead to high blast-radius compromises.
• Identify and respond to new attacker techniques against SaaS and AI platforms to build novel approaches to detect or mitigate future attacks.
• Leverage AI to turbo-charge research into SaaS and AI platform security.

What We’re Looking For

Minimum Qualifications

• 5-7 years of experience in the cybersecurity industry with either a research or data focus.
• Experience with data pipelines (dbt, dagster, clickhouse).
• Proficiency in Python/Go and SQL.
• Experience with log processing and anomaly detection.
• Fluency in using AI agents to assist in building prototype solutions.
• Ability to analyze logs and signals from IdPs, cloud, or SaaS apps.

Preferred Qualifications

• Experience with core SaaS platforms such as Google Workspace, Microsoft Office 365, Salesforce, or Workday in a security context.
• Strong understanding of identity systems (Okta, Azure AD/Entra, Google Workspace, etc.) and authentication flows.

Why Join Us

• Protect some of the world's largest organizations 
• Become an expert in SaaS security by learning from the industry’s leader.
• Have a direct impact immediately, and experience Silicon Valley pace from the UK.

About the Role - as a Senior Engineer at Obsidian, you’ll:

• Build or extend data pipelines that power Obsidian’s Agentic AI and supply chain risk products.
• Maintain, improve, and evolve existing systems to ensure performance, resilience, and scalability
• Design and implement APIs and backend services, including multithreaded applications
• Collaborate with product and engineering teams to support key product themes and ensure delivery of high-impact features
• Apply strong software engineering practices to requirements gathering, system design, and code reviews
• Contribute to a fast-moving, collaborative environment where adaptability and teamwork are essential.
• Identify and proliferate best practices in data pipeline design between both the UK and US teams.

What’s in It for You

• You will have direct impact on the core product used by enterprises worldwide
• Work alongside a talented, friendly team in a supportive and collaborative culture
• Grow your skills with opportunities to learn new technologies and engineering practices
• Be part of an innovative, fast-paced environment where your contributions are valued
• Enjoy a hybrid working, with supported remote working and great office spaces in Cheltenham and Manchester

Required Skills & Experience

• 5-7 years of experience in a software engineering role
• Proficiency in one or more modern programming languages such as Python, Go, or SQL
• Experience building backend services, APIs, and multithreaded applications
• Familiarity with containerization and orchestration technologies such as Docker and Kubernetes
• Strong knowledge of relational databases (e.g., Postgres)
• Experience collaborating in team environments and adapting to changing requirements
• Understanding of software design principles and engineering best practices
• Experience with cloud platforms (AWS, GCP), object storage (S3), or event/streaming systems (Kafka, Redis)
• Familiarity with Git for version control and deployment tooling, such as GitLab CI/CD
• Experience in influencing design patterns based on best practices.
• Experience assessing alternative data architecture designs to produce accurate and unbiased recommendations.

Desirable Experience

• Experience with system monitoring and observability tools such as Grafana, Prometheus, or similar platforms
• Understanding of quality engineering (QE) practices across development and testing lifecycles
• Exposure to large-scale distributed systems and performance optimisation
• Experience in forming strong stakeholder relationships to help promote joint working between teams.
• Experience of working alongside both UK and US development teams.

AI Skills & AI-Native Engineering Expectations: As an AI-forward engineering organization, we expect senior engineers to effectively leverage AI tools and understand foundational AI concepts to enhance development efficiency and build AI-ready systems.

AI Engineering Capabilities:

• Leverage AI tools effectively to improve development efficiency and build AI-ready systems.
• Proficient with AI-powered developer tools; able to critically evaluate and refine AI-generated outputs.
• Strong understanding of core AI/ML concepts (LLMs, embeddings, vector databases, inference, evaluation).
• Experience integrating AI/ML APIs and building AI-ready data infrastructure (e.g., for RAG).
• Ensure data quality, governance, observability, reliability, security, and performance in AI-driven systems.

Job Title: Senior Python Engineer

Location: Remote (UK) with Occasional Travel - Applications from non-UK countries will be rejected
Division: Inizio Medical – Data & AI Team

About Inizio Medical

Inizio Medical is part of Inizio, the world’s leading healthcare and communications group. We are a trusted partner to pharmaceutical and healthcare clients, translating complex science into meaningful impact. Our division focuses on evidence-based communications and education for healthcare professionals and payers.

About the Role

We are seeking a senior, hands-on Python Engineer to join our growing Data & AI team. This role is ideal for an engineer who enjoys building robust backend systems, APIs, and services that power modern applications at scale.

You will work on the backend foundations of next-generation applications, including systems that incorporate generative AI and LLM-based capabilities. Prior experience with generative AI is not required—we are looking first and foremost for a strong Python engineer with excellent software engineering fundamentals who is interested in applying those skills in a fast-evolving domain.e

You’ll collaborate closely with software engineers, data scientists, and product teams to design, build, and operate production-grade systems used in real-world healthcare and life sciences environments.

Key Responsibilities

• Design, build, deploy, and maintain scalable Python services and APIs using modern backend and cloud-native patterns.
• Develop clean, testable, and well-structured Python code for data-intensive and workflow-driven applications.
• Build and integrate backend components that support AI-enabled features (e.g., orchestration layers, inference services, data pipelines).
• Integrate with third-party APIs and external services, ensuring reliability, performance, and cost efficiency.
• Own production concerns including logging, monitoring, error handling, and performance optimisation.
• Contribute to CI/CD pipelines, infrastructure-as-code, and containerised deployments.
• Collaborate with product, data, and engineering stakeholders to translate requirements into high-quality technical solutions.
• Write clear technical documentation for engineers and non-technical audiences.
• Contribute to a collaborative, pragmatic, and high-quality engineering culture.

About You

• Strong professional experience as a Python engineer, building and operating production systems (e.g., SaaS platforms, backend services, data-driven applications).
• Deep knowledge of Python fundamentals, including application architecture, performance considerations, testing, and maintainability.
• Experience building backend systems using frameworks such as FastAPI, Flask, Django, or similar.
• Solid understanding of cloud-based architectures (AWS and/or Azure), containers, and microservices.
• Experience working with CI/CD pipelines, version control, and modern development workflows.
• Strong debugging and problem-solving skills in distributed or data-heavy systems.
• Comfortable collaborating in cross-functional, Agile teams and taking ownership of delivered solutions.
• Curious, pragmatic, and motivated by building reliable systems that deliver real-world impact.

Nice to Have (Not Required)

• Exposure to data platforms or analytics workflows (e.g., Databricks, Airflow).
• Familiarity with LLMs, generative AI APIs, or AI-enabled application patterns.
• Experience with observability and monitoring tools (e.g., Prometheus, Grafana, Sentry).
• Contributions to open-source projects or shared internal libraries.
• Experience in regulated or high-compliance domains (e.g., healthcare, life sciences, finance).

What We Offer

• Competitive salary and benefits package, including private medical insurance and company pension.
• Flexible, remote-first working environment with occasional travel.
• The opportunity to work on meaningful, high-impact products within a global healthcare organisation.
• A friendly, low-ego culture that values engineering quality, learning, and collaboration.

Ready to Apply?

If you’re a strong Python engineer who enjoys building high-quality systems and is interested in applying your skills to emerging technologies in healthcare, we’d love to hear from you.

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Data & Analytics Intern – Finance | Manchester 

Join Global Finance Services, our finance shared services team, in Manchester and help transform how data drives decision-making across a global organisation.This role sits within our finance function and will support teams across Order to Cash (OTC), Procure to Pay (PTP), and Record to Report (RTR) by delivering high-quality data analysis, reporting, and insights. You’ll play a key role in helping improve data visibility, accuracy, and decision-making across the department. 

This is a hands-on role where you’ll take ownership of meaningful projects, not just support tasks. You’ll gain exposure to large, complex datasets and play a key role in improving how finance operates at scale.It is an excellent opportunity for a student looking to apply data skills in a real-world finance environment within a fast-paced, global organisation. 

What you’ll be doing 

• Collate and clean datasets from internal and external sources 

• Build and maintain reports and dashboards 

• Conduct exploratory analysis to surface trends and insights 

• Support presentation of findings to internal stakeholders 

• Document data processes and methodologies 

What you’ll gain 

• Hands-on experience working with enterprise finance systems and real-world business data  

• The opportunity to build dashboards and analysis used by finance leaders  

• Exposure to end-to-end finance operations in a global organisation  

• Experience identifying and delivering process improvements with measurable impact  

• Mentorship from experienced professionals across finance and data analytics  

• A strong foundation for a future career in data, analytics, or finance 

What we’re looking for 

• Studying towards a degree in a numerate discipline (e.g. data science, statistics, economics, computer science) 

• Proficiency in Excel; working knowledge of Python, R or SQL an advantage 

• Ability to communicate findings clearly to a non-technical audience 

• Organised, detail-oriented and comfortable working with large datasets 

About iNIZIO 

At Inizio, we're a global team driven by a shared purpose: to reimagine health. Formed in 2022 through the coming together of Ashfield and Huntsworth, we unite decades of experience with cutting-edge capabilities to deliver impactful solutions across the commercialization journey - from discovery to post-launch. Our global network of over 10,000 experts operates across 50 countries, supporting clients with strategic insight, medical excellence, creative engagement, and real-world delivery. We work with the world's leading health and life sciences businesses to solve complex challenges and drive meaningful outcomes for our clients and patients. 

What sets Inizio apart is our people - and we believe everyone should have the opportunity to thrive. Here, you're encouraged to reimagine your possibilities: to grow, to be curious and to make real change happen. It's a place where your individuality is valued, your development is supported, and your ambition is celebrated. If you're ready to push boundaries and accelerate your career, Inizio is the best place to be. 

Our Pledge 

At Inizio, we value inclusivity, recognize the power of diversity and inspire the next generation of change-makers. We are an equal opportunities employer. We believe in creating a dynamic work environment that values diversity, equity and inclusion. We aim to recruit from a diverse slate of candidates and foster an environment that provides the right conditions for long-term success. We welcome all applications regardless of race, color, religion or belief, gender, gender identity, age, national origin, marital status, military veteran status, genetic information, sexual orientation and physical or mental disability. 

Artificial Intelligence 

Inizio may use AI technologies to support certain aspects of our recruitment process, but all hiring decisions at Inizio are made by our human recruiting team. We are committed to fair, inclusive, and human-led hiring practices. 

#LI-PW2 

#LI-HYBRID 

We seek a AI Software Engineer to join our AI infrastructure team. This team owns and operates a core service that runs AI-powered agents and their associated infrastructure, ensuring reliability, scalability, and ease of use for internal and external stakeholders. You’ll work across backend systems, front-end integration, and AI/ML workflows, with opportunities to expand your expertise in prompt engineering, Retrieval-Augmented Generation (RAG), and large language model (LLM) interactions.

Your Impact

• Design, build, and maintain services and infrastructure that manage AI-powered agents.
• Develop backend services in Python, with comprehensively tested and self-documented APIs.
• Work with Agentic AI frameworks and implement prompt engineering best practices to build scalable foundational platform.
• Work with relational databases (MySQL) to store, query, and optimize structured data.
• Collaborate with product and research teams to refine and implement the product roadmap.
• Support front-end teams using React/JS components and wrappers for AI-driven experiences.
• Learn, apply, and optimize RAG systems, including vector databases, embeddings, and document chunking strategies.
• Build a practical understanding of how large language models (LLMs) work and deepen expertise in effective interactions with LLMs for agent orchestration.
• Monitor, debug, and optimize system performance, ensuring high reliability in production environments.

Your Qualifications 

• Strong proficiency and experience working with Python-based services
• Hands-on experience with relational databases (MySQL or similar).
• Familiarity with React and ability to support front-end AI integrations.
• Basic understanding of large language models and eagerness to expand knowledge.
• Demonstrated interest or experience in prompt engineering and working with LLMs.
• Strong problem-solving, debugging, and collaboration skills.

Nice-to-Have

• Prior experience with vector databases (Pinecone, Weaviate, FAISS, etc.).
• Knowledge of retrieval-augmented generation (RAG) pipelines.
• Experience with AI/ML infrastructure or agent frameworks.
• Familiarity with cloud environments (AWS, GCP, Azure) and containerized deployments (Docker, Kubernetes).

Team Description

The Data Engineering team is responsible for developing and maintaining the company’s data ingestion and processing pipelines. This role collaborates with data scientists, software engineers, business analysts, and technical leads to build reliable data infrastructure that supports decision-making for apparel brands and retailers. The position reports to the Technical Lead within the Data Engineering function.

Your Impact

• Contribute to the development and enhancement of data ingestion and processing pipelines
• Partner with product managers, data scientists, and engineers to build and maintain accurate and robust data infrastructure managing first- and second-party data
• Collaborate with technical leads and senior engineers on data architecture decisions and implementation strategies
• Support the team in delivering scalable solutions while learning and growing your expertise
• Work as part of a collaborative team that values creativity and continuous improvement
• Help build and maintain data pipelines that support AI and decision-making tools

Your Qualifications

• Commercial & proven experience in data engineering or related technical roles
• Proficiency in SQL and Python for data processing and pipeline development
• Experience with data warehousing concepts and ETL/ELT processes
• Hands-on experience with modern data platforms such as Snowflake, Databricks, or Redshift
• Familiarity with data orchestration tools like Apache Airflow, Prefect, or DBT
• Experience working with columnar formats like Parquet and Avro
• Understanding of data modeling, database optimization, and performance tuning
• Experience integrating data from various sources including APIs, FTP, and cloud storage

Preferred Skills

• Knowledge of streaming data processing and data APIs
• Knowledge of cloud platforms, particularly AWS
• Familiarity with infrastructure as code and CI/CD practices
• Experience with time series data

Anaplan is looking for a Principal Infrastructure Engineer to lead the design and build of a new, multi-region HashiCorp Vault platform. This is a pivotal role where you will serve as our Subject Matter Expert (SME), shaping the future of secrets management and governance for a platform that supports hundreds of engineers and top-flight companies around the world.

This is a hybrid role requiring at least two days a week in our Manchester office.

Your Impact

• Lead the architecture, design, and implementation of a new, multi-region HashiCorp Vault platform on public cloud.
• Take ownership of the solution architecture, creating and maintaining high-quality design documents and Architecture Decision Records (ADRs).
• Ensure platform resilience by developing and testing robust strategies for performance, Disaster Recovery (DR), and High Availability (HA).
• Act as the primary SME for the organisation on all aspects of Vault and modern secrets management, actively championing and evangelising best practices.
• Collaborate with and influence stakeholders, platform teams, and software engineers to ensure the smooth and secure integration of their services with the Vault ecosystem.
• Partner with Security to define the control requirements for the Vault platform (policy standards, privileged access, audit/evidence, compliance needs) and ensure designs meet those requirements.
• Lead regular security design reviews for Vault architecture decisions (authn/authz, policy model, namespaces/tenancy, seal strategy with KMS/HSM, audit logging) and drive alignment/sign-off with Security.
• Establish joint operating processes with Security for incident response and investigations, including break-glass access, audit log access patterns, and post-incident remediation.
• Coach and mentor other engineers on security best practices and the adoption of the new secrets management platform.

Your Skills

• You have hands-on expertise in designing, implementing, and operating HashiCorp Vault in large-scale production environments.
• Proven experience with multi-region deployments on public cloud platforms, preferably AWS. Experience with GCP and Azure is also highly valuable.
• Proficient with Infrastructure as Code (IaC) and Terraform.
• Knowledge of modern authentication and authorisation mechanisms (e.g., OIDC, SAML, JWT).
• Experience managing Public Key Infrastructure (PKI) and certificate lifecycles.
• Experience with observability tooling such as Grafana, Prometheus, and Loki.
• Proficient with Kubernetes and managed Kubernetes platforms such as EKS, GKS, and AKS.
• Experience with Kubernetes tooling such as Helm and Argo CD.
• You have a quality-first mindset with demonstrable experience in creating and automating testing strategies for critical infrastructure.
• You are happy to write and maintain clear documentation for other teams.
• You have excellent communication skills, with a proven ability to influence technical direction and mentor both junior and senior engineers.

Bonus Points For:

• Scripting or development experience in Go, Python, or similar.
• Experience writing or maintaining Kubernetes Operators.

Anaplan is looking for a Principal Infrastructure Engineer to lead the design and build of a new, multi-region HashiCorp Vault platform. This is a pivotal role where you will serve as our Subject Matter Expert (SME), shaping the future of secrets management and governance for a platform that supports hundreds of engineers and top-flight companies around the world.

This is a hybrid role requiring at least two days a week in our London office.

Your Impact

• Lead the architecture, design, and implementation of a new, multi-region HashiCorp Vault platform on public cloud.
• Take ownership of the solution architecture, creating and maintaining high-quality design documents and Architecture Decision Records (ADRs).
• Ensure platform resilience by developing and testing robust strategies for performance, Disaster Recovery (DR), and High Availability (HA).
• Act as the primary SME for the organisation on all aspects of Vault and modern secrets management, actively championing and evangelising best practices.
• Collaborate with and influence stakeholders, platform teams, and software engineers to ensure the smooth and secure integration of their services with the Vault ecosystem.
• Partner with Security to define the control requirements for the Vault platform (policy standards, privileged access, audit/evidence, compliance needs) and ensure designs meet those requirements.
• Lead regular security design reviews for Vault architecture decisions (authn/authz, policy model, namespaces/tenancy, seal strategy with KMS/HSM, audit logging) and drive alignment/sign-off with Security.
• Establish joint operating processes with Security for incident response and investigations, including break-glass access, audit log access patterns, and post-incident remediation.
• Coach and mentor other engineers on security best practices and the adoption of the new secrets management platform.

Your Skills

• You have hands-on expertise in designing, implementing, and operating HashiCorp Vault in large-scale production environments.
• Proven experience with multi-region deployments on public cloud platforms, preferably AWS. Experience with GCP and Azure is also highly valuable.
• Proficient with Infrastructure as Code (IaC) and Terraform.
• Knowledge of modern authentication and authorisation mechanisms (e.g., OIDC, SAML, JWT).
• Experience managing Public Key Infrastructure (PKI) and certificate lifecycles.
• Experience with observability tooling such as Grafana, Prometheus, and Loki.
• Proficient with Kubernetes and managed Kubernetes platforms such as EKS, GKS, and AKS.
• Experience with Kubernetes tooling such as Helm and Argo CD.
• You have a quality-first mindset with demonstrable experience in creating and automating testing strategies for critical infrastructure.
• You are happy to write and maintain clear documentation for other teams.
• You have excellent communication skills, with a proven ability to influence technical direction and mentor both junior and senior engineers.

Bonus Points For:

• Scripting or development experience in Go, Python, or similar.
• Experience writing or maintaining Kubernetes Operators.

Anaplan is looking for a Principal Engineer to lead the design and build of a new, multi-region HashiCorp Vault platform. This is a pivotal role where you will serve as our Subject Matter Expert (SME), shaping the future of secrets management and governance for a platform that supports hundreds of engineers and top-flight companies around the world.

This is a hybrid role requiring at least two days a week in our Manchester office.

Your Impact

• Lead the architecture, design, and implementation of a new, multi-region HashiCorp Vault platform on public cloud.
• Take ownership of the solution architecture, creating and maintaining high-quality design documents and Architecture Decision Records (ADRs).
• Ensure platform resilience by developing and testing robust strategies for performance, Disaster Recovery (DR), and High Availability (HA).
• Act as the primary SME for the organisation on all aspects of Vault and modern secrets management, actively championing and evangelising best practices.
• Collaborate with and influence stakeholders, platform teams, and software engineers to ensure the smooth and secure integration of their services with the Vault ecosystem.
• Partner with Security to define the control requirements for the Vault platform (policy standards, privileged access, audit/evidence, compliance needs) and ensure designs meet those requirements.
• Lead regular security design reviews for Vault architecture decisions (authn/authz, policy model, namespaces/tenancy, seal strategy with KMS/HSM, audit logging) and drive alignment/sign-off with Security.
• Establish joint operating processes with Security for incident response and investigations, including break-glass access, audit log access patterns, and post-incident remediation.
• Coach and mentor other engineers on security best practices and the adoption of the new secrets management platform.

Your Skills

• You have hands-on expertise in designing, implementing, and operating HashiCorp Vault in large-scale production environments.
• Proven experience with multi-region deployments on public cloud platforms, preferably AWS. Experience with GCP and Azure is also highly valuable.
• Proficient with Infrastructure as Code (IaC) and Terraform.
• Knowledge of modern authentication and authorisation mechanisms (e.g., OIDC, SAML, JWT).
• Experience managing Public Key Infrastructure (PKI) and certificate lifecycles.
• Experience with observability tooling such as Grafana, Prometheus, and Loki.
• Proficient with Kubernetes and managed Kubernetes platforms such as EKS, GKS, and AKS.
• Experience with Kubernetes tooling such as Helm and Argo CD.
• You have a quality-first mindset with demonstrable experience in creating and automating testing strategies for critical infrastructure.
• You are happy to write and maintain clear documentation for other teams.
• You have excellent communication skills, with a proven ability to influence technical direction and mentor both junior and senior engineers.

Bonus Points For:

• Scripting or development experience in Go, Python, or similar.
• Experience writing or maintaining Kubernetes Operators.

We're seeking a versatile Senior GenAI Engineer who can work across the full stack of GenAI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills. 

Your Impact  

• Develop end-to-end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments 
• Integrate and optimize LLMs for specific use cases in business planning, including prompt engineering and RAG implementation 
• Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language 
• Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics 
• Design and develop APIs that expose AI capabilities to Anaplan's platform and third-party integrations 
• Optimize model inference pipelines for performance, cost, and scalability in production environments 
• Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour 
• Collaborate with data scientists to productionize ML models and forecasting algorithms 
• Write comprehensive tests, including unit tests, integration tests, and prompt regression suites 
• Participate in code reviews, technical design discussions, and knowledge-sharing sessions 
• Stay current with GenAI research and tools, evaluating new models and techniques for potential adoption 

 Your Qualifications 

• Software engineering experience with a focus on ML/AI systems 
• Strong programming skills in Python, including experience with ML frameworks (PyTorch, TensorFlow, Transformers) 
• Experience building and deploying LLM-powered applications in production 
• Proficiency in front-end development with React, TypeScript, and modern web technologies 
• Understanding of RESTful API design, microservices architecture, and cloud infrastructure 
• Experience with prompt engineering, RAG systems 
• Strong foundation in ML fundamentals, including NLP, time-series analysis, or recommender systems 
• Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines 
• Excellent problem-solving skills and attention to detail 
• Bachelor's degree in computer science, Machine Learning, or related field 

Preferred Qualifications 

• Experience with GenAI frameworks (LangChain, LlamaIndex, Haystack, or similar) 
• Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models 
• Experience with model serving frameworks (vLLM, TensorRT, Ray) 
• Background in forecasting, planning, or analytics applications 
• Familiarity with Anaplan or similar enterprise planning platforms 
• Experience with A/B testing and experimentation frameworks for AI features 
• Contributions to open-source ML projects or research publications 
• Experience with model observability tools (LangSmith, W&B, MLflow) 

 What Makes This Role Exciting 

• Lead a greenfield team building transformative AI capabilities from the ground up 
• Work on cutting-edge conversational and agentic AI technologies 
• Build user-facing AI features that directly impact how businesses plan and make decisions 
• Experiment with the latest GenAI models and techniques 
• Collaborate with talented engineers, data scientists, and product designers 
• Solve unique challenges at the intersection of AI and enterprise software 
• Grow your skills in both ML engineering and full-stack development 

#LI-SP1

We're seeking a versatile Senior GenAI Engineer who can work across the full stack of GenAI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills. 

This role is flexible in scope, and we welcome candidates at all experience levels. This role is a hybrid position and will require you to be in our Manchester office twice a week. 

Your Impact  

• Develop end-to-end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments 
• Integrate and optimize LLMs for specific use cases in business planning, including prompt engineering and RAG implementation 
• Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language 
• Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics 
• Design and develop APIs that expose AI capabilities to Anaplan's platform and third-party integrations 
• Optimize model inference pipelines for performance, cost, and scalability in production environments 
• Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour 
• Collaborate with data scientists to productionize ML models and forecasting algorithms 
• Write comprehensive tests, including unit tests, integration tests, and prompt regression suites 
• Participate in code reviews, technical design discussions, and knowledge-sharing sessions 
• Stay current with GenAI research and tools, evaluating new models and techniques for potential adoption 

 Your Qualifications 

• Software engineering experience with a focus on ML/AI systems 
• Strong programming skills in Python, including experience with ML frameworks (PyTorch, TensorFlow, Transformers) 
• Experience building and deploying LLM-powered applications in production 
• Proficiency in front-end development with React, TypeScript, and modern web technologies 
• Understanding of RESTful API design, microservices architecture, and cloud infrastructure 
• Experience with prompt engineering, RAG systems 
• Strong foundation in ML fundamentals, including NLP, time-series analysis, or recommender systems 
• Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines 
• Excellent problem-solving skills and attention to detail 
• Bachelor's degree in computer science, Machine Learning, or related field 

Preferred Qualifications 

• Experience with GenAI frameworks (LangChain, LlamaIndex, Haystack, or similar) 
• Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models 
• Experience with model serving frameworks (vLLM, TensorRT, Ray) 
• Background in forecasting, planning, or analytics applications 
• Familiarity with Anaplan or similar enterprise planning platforms 
• Experience with A/B testing and experimentation frameworks for AI features 
• Contributions to open-source ML projects or research publications 
• Experience with model observability tools (LangSmith, W&B, MLflow) 

 What Makes This Role Exciting 

• Lead a greenfield team building transformative AI capabilities from the ground up 
• Work on cutting-edge conversational and agentic AI technologies 
• Build user-facing AI features that directly impact how businesses plan and make decisions 
• Experiment with the latest GenAI models and techniques 
• Collaborate with talented engineers, data scientists, and product designers 
• Solve unique challenges at the intersection of AI and enterprise software 
• Grow your skills in both ML engineering and full-stack development 

#LI-SP1

About Prophecy 

The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the world’s top enterprises turn data chaos into reliable insights. We introduce the AI-native data lifecycle (generate, refine, deploy) where our industry leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform and prepare data, to ship trusted insights at enterprise scale. To learn more, visit us on LinkedIn.

About the Role

As a Forward Deployed Solution Engineer, you will be a critical part of the go-to-market team owning the technical journey from initial customer engagement through to production go-live.This is a unique opportunity to operate at the intersection of engineering, sales, and customer delivery at a high-growth startup.

You are not just designing solutions you are building and shipping them. You will partner closely with Account Executives to win strategic deals, then lead hands-on implementation to ensure customers realize value quickly. This role is ideal for someone who thrives in fast-paced environments, enjoys solving ambiguous problems, and takes pride in delivering real-world impact through production systems.

What You’ll Do

• Own the Technical Win: Partner with Account Executives to lead deep technical discovery, shape solution design, and directly influence deal outcomes
• Translate Requirements into Solutions: Turn complex, ambiguous business needs into clear technical architectures, scoped plans, and executable project roadmaps
• Build & Ship Production Systems: Develop integrations, write scripts, configure APIs, and manage data flows to deliver production-ready implementations
• Drive Time-to-Value: Lead end-to-end deployments, ensuring customers reach their initial value milestones within the first 60–90 days
• Bridge Pre-Sales to Delivery: Own the transition from sales to implementation, including scoping, SOW creation, and execution
• Act as a Strategic Technical Advisor: Guide customers on architecture decisions, best practices, and long-term scalability
• Identify Expansion Opportunities: Partner with customers to uncover additional use cases and drive continued adoption and growth
• Close the Product Feedback Loop: Surface recurring challenges and contribute to product improvements through technical insights and specifications
• Operate with Ownership: Manage multiple high-impact projects simultaneously, maintaining a high bar for quality and execution

What You’ll Need

• 5+ years of experience in technical pre-sales (Solutions Engineering, Sales Engineering)
• 5+ years in a customer-facing role (Forward Deployed Engineering, Implementation Engineering, or Software Engineering)
• Strong hands-on experience building and shipping production systems in customer environments
• Proficiency in SQL and at least one scripting language (Python, JavaScript, or similar)
• Experience working with APIs, webhooks, and system integrations
• Familiarity with modern data stacks (e.g., Snowflake, Databricks, BigQuery) and ETL workflows
• Experience in cloud environments (AWS, Azure, or GCP)
• Ability to translate complex technical concepts into clear business outcomes for both technical and non-technical stakeholders

Preferred Qualifications

• Experience in a high-growth startup or fast-paced environment
• Background in solution architecture or technical pre-sales
• Experience authoring Statements of Work (SOWs) and scoping customer implementations
• Familiarity with data modeling, data pipelines, and large-scale data systems
• Comfort working across the full customer lifecycle, from pre-sales through post-deployment

Your submission of this information is governed by our privacy policy and our use thereof. 

With your passion to learn about the cloud, you are excited to help advance the Cloud Native management interfaces of an already Cloud Native Database platform.  You will be part of the team that helps set the direction and define the interfaces and components necessary to advance what it means to be a cloud native database platform. Your curiosity of the Cloud Native ecosystem will help bring Couchbase to everywhere it can add value.  Your ability to represent Couchbase’s interests in Open Source Cloud Native projects, engaging those communities as a knowledgeable expert, will further not only your company’s value, but also the value of that ecosystem. You will also be an advocate for Cloud Native tech to other subject matter experts in Couchbase Engineering. In doing so, you and Couchbase will continue to gather users, deployments and customers in the constantly growing database market.

RESPONSIBILITIES:

Implement Management Features

• Working with a team of subject matter experts and the product managers, implement a set of features integrating Couchbase with Cloud Native tech. Some of these exist already, and some have prototypes.  These include Prometheus, Fluentd and Fluent-bit, the Kubernetes Pod Autoscaler, etc.
• Be a bridge to other parts of the Engineering organization where product features interleave and depend upon each other. Keep track of delivery dates for dependent projects; partner with Quality Engineering in organizing interdependent project plans.

Support Across Lifecycle

• Contribute to and write tutorials on integration with Cloud Native ecosystem components such as Fluentd, Prometheus, Open Telemetry.
• Be an advocate to, and support Sales Engineers and Professional Services field organizations in understanding and bringing this tech to end users.
• Facilitate efficient development by the entire team through running development processes, ensuring dependent items are in place, adjusting course as needed to further improve efficiency of producing.

Partner to Product and Engineering

• Work with Product Managers, Architects and Principal Engineers in the definition and development of new features.  In particular, become a subject matter expert for the Product Management team on where the opportunities and challenges are in the Cloud Native ecosystem.
• Work across engineering teams, in some cases as a contributor or reviewer on projects and components outside your team, to help adoption of Cloud Native techniques and interfaces. 

PREFERRED QUALIFICATIONS:

• Motivated, self-learning where needed, and highly productive individual, ready to learn new technologies and become quickly proficient.
• Experience with software development and build automation processes (Jenkins, Github Actions)
• Expertise with Golang, Python, Docker, Kubernetes and the related ecosystems.
• Knowledge of deployment processes in the cloud (Cloud Formation, Terraform, ARM Templates, GCP Cloud Deployment Scripts)
• Experience working with a team distributed across time zones. 

MINIMUM QUALIFICATIONS:

• Demonstrable experience working with Kubernetes
• Desire to automate the boring stuff
• Proficient in one or more programming languages
• Passion for learning new technologies
• Presence on GitHub (or similar)
• Strong Unix/Linux administration skills

Hybrid

DEPT® is a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, our 4,000+ specialists deliver growth invention services across Brand & Media, Experience, Commerce, CRM, and Technology & Data. We’re 50|50 tech and marketing, partner-led, and first to move. Clients include Google, Lufthansa, Meta, eBay, and OpenAI. We have been certified B Corp and Climate Neutral since 2021.

Please note: This role is offered as a fixed-term contract for 2 years.

JOB PURPOSE

We are looking for someone who has strong technical skills and understands website structures, but also is able to view projects from the lense of the end user. This person will be able to work with Product Managers, Project Managers, UX, Design, Technical Architecture and Developer teams to drive forward solutions that will work for the website and other channels.

The role holder will be expected to have a broad business understanding and collaborate with other crafts, both technical (architecture, front end, backend, DevOps, marketing technology, operations, app) as well as more product focused (UX, Product Managers) in the team.

The role should be able to communicate complex ideas to various technical and non-technical stakeholders. It is expected that the role holder will help to form and execute on the technical vision across the team and clients. The role will also work across multiple programmes including the Website programme of work, the HSE Health App, HSE Notify program and manage the Forms Engine on behalf of HSE Digital. The HSE websites are built on Wagtail open source CMS.

Across the team we work with a variety of technologies; including Wagtail, NextJS, React, React Native, Python, Django, Adobe Campaign, Salesforce, VueJS, FHIR, Azure, GCP, Laravel, and other php frameworks and many more.

KEY RESPONSIBILITIES

• Work closely with the Lead Product Manager to define the technical vision for the suite of websites;
• Lead on technical conversations as part of feature or functionality discovery balancing technical requirements and end user needs;
• Define and develop solutions in conjunction with other technical teams and Product teams;
• Contribute to the development, documentation and understanding of the project scope, objectives and technical feasibility involving all relevant stakeholders;
• Manage the Forms Engine product owning the strategy and vision and supporting internal stakeholders to operate;
• Collaborate with internal teams to solution, develop and implement digital projects;
• Identify and report on common sources of technical issues or questions and make recommendations to product teams;
• Stay on the lookout for ways to improve monitoring, discover issues and deliver better value to the customer;
• Support with backlog preparation and prioritisation;
• Contribute to technical programme and roadmap definition and management;
• Critically question and be open to new approaches, pivots and iterative delivery of solutions.

WHAT WE ARE LOOKING FOR

Mandatory 

• A collaborative, strong technical person who can bring people and teams along and importantly balance technical requirements with end user needs;
• A person who will jump in to support the team where necessary and be proactive about finding and implementing solutions;
• Someone with experience working in ambiguity and defining as they go;
• A background in product management (with technical knowledge), development, DevOps or technical architecture;
• Advocate and champion user experience and delivering the best solution for users;
• A demonstrable ability to work with multiple teams and stakeholders and convince people of an approach;
• Ability to work with people of various technical competence and bring them along;
• Knowledge of various technologies such as CMSs, website structures, Mobile apps, system architecture;
• Knowledge of Agile methodologies and experience working in hybrid delivery structures;
• Ability to interact across a range of stakeholders, from business owners to engineers, product managers, SMEs, agencies, UX and delivery teams.

Desirable

• Working knowledge in the use of JIRA/Confluence;
• Understanding of database design and data modelling approaches;
• Experience in some of the technologies we currently use such as Wagtail.

WE OFFER

• The recruiter will share the location specific benefits on the call.
• A reputation for doing good. DEPT® has been a Certified B Corp® since 2021 and named ‘Agency of the Year’ at both The Lovies and The Webby Awards.
• Awesome clients. Whether big or small, local or global — at DEPT® you’ll get the opportunity to work with clients of all sizes and across all industries. And we celebrate all of our successes together!
• The opportunity for possibility. We want to enable you to do what you do best and help you develop your skills further with training, development and certifications.
• Global annual DEPT® Cares Month in which employees come together and donate their skills to support local charities.

WHY DEPT®?

We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA.

We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter.

At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build.

DIVERSITY, EQUITY & INCLUSION 

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.

We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

The Role 

We are looking for a Senior Infrastructure Manager who is, first and foremost, a people leader.

In this role, your primary responsibility is the health, performance, and career growth of your engineering team. While you must possess a solid technical background to understand the challenges your team faces, your day-to-day focus will not be hands-on technical work. Instead, you will use your experience to remove blockers, guide decision-making, and ensure your engineers have the environment they need to succeed.

You will act as the bridge between technical execution and business strategy, team budget management, defining roadmaps, and ensuring operational excellence across a complex hybrid (predominantly on-prem and some cloud) estate.

The Team You Will Lead 

You will lead the Infrastructure Solutions team within the wider Technical Operations department. Your engineers are responsible for building the environment, delivering projects as requested by Engineering and Product, and ensuring we remain available, scalable, and secure. They are not responsible for the BAU function of the platforms that is managed by another team within Technical Operations. The Infrastructure Solutions team takes a concept or idea and makes that into a reality within the boundaries and constraints of our platforms. 

You will be managing a team of engineers who individually possess experience in:

• On-Premise Linux systems, Container solutions, Debian packaging, Ansible, data streaming and queuing technologies such as Kafka or RabbitMQ
• Advanced database management knowledge (MySQL, Postgres) in replicated environments.
• Physical Network management, with an on-prem estate that is Juniper focused. 
• Cloud environments: GCP and AWS
• Platform engineer focused on building, maintaining and supporting an Internal Developer Platform (CI/CD)

The Operational Reality

It is important to be transparent about the environment you are joining. We operate at high velocity with a broad and complex technology estate. However, we are a lean team, not a giant corporation with endless resources.

• Context Switching is the Norm
• You will rarely have the luxury of focusing on a single task for weeks at a time. You will be required to shift focus multiple times a week, and sometimes multiple times a day, as business priorities evolve.
• Agility over Silos
• Because we are a lean team, we wear many hats. You must be comfortable pivoting from a strategic discussion to an operational challenge without losing momentum.
• Focus Management
• Success in this role requires the ability to maintain high standards while navigating a workload that changes dynamically. This is not a role for those who prefer a slow, singular focus; it is for those who thrive on variety, pace, and solving complex problems in real-time.

As the Senior Infrastructure Manager, You Will:

People Leadership & Talent Development

• Team Management
• Lead, mentor, and motivate a team of infrastructure engineers. Conduct weekly 1-2-1s, manage performance reviews, and handle all aspects of people management.
• Formal Training & Growth
• Go beyond ad-hoc mentoring to schedule and lead formal training sessions regarding operational improvements. Actively create professional development plans for your direct reports.
• Recruitment & Retention
• Own the hiring process for your team, ensuring we attract top talent and maintain a supportive, inclusive culture.
• Culture of Learning
• Foster a "Self-Learner" mindset. Create a transparent environment where failures are treated as learning opportunities and documented as such for future reference.

Strategic & Operational Management

• Budget & Capacity Planning
• Ability to own your team's budget and lead capacity planning initiatives. You will forecast future infrastructure needs to ensure we remain scalable while managing spend for subscriptions and hardware.
• Risk & Contingency
• Proactively identify operational risks and form contingency plans immediately to ensure business continuity.
• Procedure & Frameworks
• Ability to define, maintain, and cascade operational procedures (SOPs) and ITIL standards.
• Prioritisation
• Shield your team from noise by effectively prioritising workloads (Changes, Problems, and Projects) and managing stakeholder expectations.

Technical Support & Oversight

• Performance Optimisation
• Measure and optimise system performance with a focus on improving reliability and time-to-market. You will drive innovation to get ahead of internal customer needs rather than just reacting to them.
• Visual Documentation
• Ensure the team produces detailed system design documentation, specifically enforcing the inclusion of visual representations to support understanding. Ability to technologically assess it as a technical editor.
• Hybrid Estate Management
• Ability to oversee the management of both On-Premise and Cloud (GCP/AWS), ensuring high availability across all environments.
• Unblocking Issues
• Act as the senior escalation point for complex technical issues. Your goal is not to fix the issue yourself, but to coordinate the right resources and provide air cover.

General Duties

On-Call DutiesWillingness to participate in the Management On-Call Rotation to support the department and the business (Current frequency: Once every three weeks).Ad-HocCarry out other strategic or technical duties required to support the Director/VP of Technical Operations.

Essential Knowledge, Skills, and Experience

Leadership & Management Competencies

• Proven Management Experience
• Significant experience leading a technical team, with a specific focus on the people management aspect (performance reviews, career growth etc).
• Project Management
• Strong project management experience with the ability to delegate effectively to meet tight deadlines. You must be able to multitask and maintain focus in a high-priority environment.
• Communication
• Exceptional verbal and written communication skills. You must be able to liaise effectively with management and other business areas. Engagement may also include interactions with senior technical engineers/leaders within other teams and C-Team members. 
• Goal Oriented
• You must be highly goal-oriented with strict attention to detail, capable of prioritising workload and demand to ensure targets are met.
• ITIL Application / Lean Six Sigma
• Deep knowledge of and experience with ITIL practices, with the ability to apply them to improve team workflows. Demonstrated ability to apply Lean Six Sigma concepts.

Technical Environment & Team Capabilities

Focusing on the technical skills that your engineers possess, it would be ideal if you had a decent working knowledge of each of the areas. Hands-on expertise in every area is not required, but the ability to hold and facilitate discussions, know when to push or hold back and when to ask poignant questions will help you effectively mentor the team and guide architectural decisions. 

For reference from above these areas are: on-prem and AWS/GCP solutions; system design from network to application level; resilient database availability strategies; automation and configuration management via Ansible, Docker and CI/CD; programming awareness in Python; Linux administration.

Your willingness to learn what you don’t know is required to succeed in this role and we will support you through that journey.

Desirable Knowledge, Skills, and Experience

The following skills or experiences are advantageous but not strictly required. They would be utilised for facilitating tasks rather than for direct, hands-on implementation.

• Innovation & Debt Management
• A keen interest in new technologies and innovation, specifically supporting development teams in the refactoring of technical debt.
• Advanced Containerization
• Deep knowledge of Kubernetes, Docker, and container ecosystems.
• Observability
• Experience with monitoring systems (e.g., Zabbix, Grafana) and logging stacks (Elasticsearch, Kibana).
• Data Streaming
• Experience with data streaming and queuing technologies, specifically Apache Kafka and Druid.
• Web & Storage
• Knowledge of Nginx (or other web server technologies) and storage technologies like Gluster.
• Tooling
• Proficiency with JIRA and Confluence for project tracking and documentation.
• Version Control
• strong understanding of Git and version control best practices.

Why This Role?

If you are an experienced technical leader who finds more satisfaction in growing people and building high-performing teams than in closing tickets yourself, this is the role for you. You will have the autonomy to shape the culture of the Infrastructure function and the strategic backing to make a real impact on the business

A Note to Candidates

At Partnerize, we recognise that the perfect candidate doesn't exist. If you are a strong people manager with a background in tech, but maybe haven't touched a command line in a few years - that’s okay! We are looking for leadership first. We encourage you to apply if you feel you have the management skills to help our team thrive.

UK Benefits & Perks

• 25 days holiday in addition to bank holidays 
• Enhanced Parental Leave: 6 months full pay for birth parent, 4 weeks non-birth parent at full pay after one year employment
• 5 extra 'Partnerize Parental Days' each year
• Private Medical Insurance through Vitality 
• Enhanced pension contributions
• Cycle to Work scheme 
• Eye Care Vouchers 
• Life Assurance
• Enhanced Wellness Program including access to EAP, Wellness Coaching & Wellness Fridays program
• Regular company events and activities

Senior Backend Engineer – Java (GCP)
Location: Manchester (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent

Power the platforms behind modern finance. Shape cloud-native solutions with Java at their core.

The Role
We’re seeking a Senior Backend Engineer (Java) to join our Technology & Engineering team. You’ll bring expertise in building robust, scalable, cloud-native applications using Java, Spring Boot, Python and GCP. Working on high-impact platforms for Tier 1 financial institutions, you’ll lead backend design, champion agile best practices, and contribute to the evolution of modern banking technology.

What You’ll Do

• Design, build, deploy and operate microservices-based data controls using Java 11+ and Spring Boot
• Deliver enterprise-ready cloud solutions, with a focus on GCP infrastructure and services
• Build and manage robust CI/CD pipelines and ensure secure, scalable deployments
• Write comprehensive tests and implement quality-driven development across the stack
• Collaborate in agile teams and contribute to design decisions, troubleshooting, and continuous improvement

What We’re Looking For

• Expert-level Java development (Java 11, 17, 21+), Spring Boot proficiency
• Proficient level of Python scripting for operational efficiencies
• Deep knowledge of public cloud environments, preferably GCP
• Experience designing cloud-native, microservices, and event-driven architectures
• Strong grasp of CI/CD pipelines (preferably Jenkins), SQL/NoSQL databases, Kafka, and Java Streaming
• Familiarity with infrastructure-as-code (e.g., CloudFormation), distributed systems, and secure design practices
• Experience using enterprise data platforms (eg Atacamma, Colibra, Informatica)

Bonus Points For

• GCP certificates (Associate or Professional)
• Knowledge of CQRS patterns and performance testing strategies
• Passion for exploring emerging cloud technologies and frameworks
• Experience delivering customer-facing or business-critical applications in finance and operate them in production on a “you build it, you run it” operating model

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions
• Work in a collaborative, flat, and entrepreneurial consulting culture
• Access continuous learning, training, and industry certifications
• Be part of a team shaping the future of digital financial services
• Help shape the future of digital transformation across FS & Energy.

Benefits

We offer a competitive, people-first benefits package designed to support every aspect of your life:

• Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover. 

• Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders. 

• Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement. 

• Family Care: 8 complimentary backup care sessions for emergency childcare or elder care. 

• Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs. 

• Continuous Learning:  Your growth, your way - minimum 40 hours of training annually. Take your pick; workshops, certifications, e-learning. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development. 

• Healthcare Access: Convenient online GP services. 
• Extra Perks: Gympass(Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.

Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

#LI-DNI

Senior DevOps/Platform Engineer (GCP)

Location: Manchester (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent

Shape the Future of Cloud Engineering in Financial Services

The Role

As a Senior DevOps Engineer at Capco, you’ll design and deliver scalable, automated, and secure cloud platforms that power the next generation of financial services. Working within cross-functional agile teams, you’ll drive the adoption of modern DevOps practices and continuous delivery frameworks that help our clients transform their technology landscapes.

You’ll work on both greenfield and enterprise-scale projects, spanning cloud-native, hybrid, and on-premise environments. This is an opportunity to deepen your expertise, gain certifications, and make a real impact in a collaborative, inclusive environment where your ideas are valued.

What You’ll Do

• Design and implement cloud-based infrastructure and CI/CD pipelines for internal and cloud platforms
• Drive improvements of developer productivity striving towards self-service platform engineering
• Automate and optimise deployment processes using infrastructure-as-code.
• Collaborate with engineering and product teams to enhance performance, reliability, and security.
• Drive continuous improvement through innovation and experimentation.
• Mentor junior engineers and contribute to Capco’s growing DevOps community.

What We’re Looking For

• Proven experience in platform engineering agnostic practises
• Ideally experience with developer productivity and platform engineering improvements with large scale data platform
• Experience with public cloud and ideally GCP
• Expertise in containerisation (Docker) and orchestration tools such as Kubernetes.
• Proficiency in Infrastructure as Code (Terraform, CloudFormation).
• Experience with scripting (Python, Groovy) to build and maintain CI/CD pipelines using Jenkins, CircleCI, or GoCD.
• Solid understanding of monitoring, automation, and configuration management tools (Ansible, Chef, Puppet, Helm).

Bonus Points For

• Experience in financial services or consulting projects.
• Hands-on knowledge of test orchestration (Cucumber, Karate, Selenium).
• Exposure to Kubernetes ecosystems (Istio, Kiali, Fortio).
• Experience migrating on-premise systems to cloud platforms.
• Interest in coaching and mentoring other team members.

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions.
• Work in a collaborative, flat, and entrepreneurial consulting culture.
• Access continuous learning, training, and industry certifications.
• Be part of a team shaping the future of digital financial services.
• Help drive transformation and innovation across Financial Services and Energy sectors.

We offer a competitive, people-first benefits package designed to support every aspect of your life:

• Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover. 

• Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders. 

• Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement. 

• Family Care: 8 complimentary backup care sessions for emergency childcare or elder care. 

• Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs. 

• Continuous Learning:  Your growth, your way - minimum 40 hours of training annually. Take your pick; workshops, certifications, e-learning. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development. 

• Healthcare Access: Convenient online GP services. 

• Extra Perks: Gympass(Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance. 

Inclusion at Capco

We’re committed to a barrier-free, inclusive recruitment process. If you need any adjustments at any stage, let us know – we’ll be happy to help. We welcome applicants from all backgrounds. At Capco, we value the difference you make, and the differences that make you. Our #BeYourselfAtWork culture celebrates individuality, collaboration, and authenticity every day.

#LI-DNI

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.

This is an opportunity to work on one of the most exciting businesses within SeatGeek. SeatGeekIQ is our homegrown AI-native platform that is helping our rightsholder partners and fans generate more revenue in autonomous ways. You can learn more about what SeatGeekIQ has done here - Seatgeek IQ, the intelligence powering smarter ticketing. We were recently nominated for SBJ’s Best in AI award. 

As the Senior Manager, Portfolio Management: SeatGeekIQ, you’ll play a critical role in helping expand our platform of pricing, trading, and investments offerings into the EMEA region. You’ll partner with some incredible clients such as Liverpool and Manchester City. You’ll also lead execution of our inventory management portfolio in the EMEA region. You’ll be responsible for maximizing the value of tickets managed and the returns on any of the decisions made.

This is a client facing role that will help drive incremental business growth by winning partnerships and own relationships from sales pitches to term sheets to executive presentations. This role has high independence and ownership with the opportunity to expand our business into a new region. If successful, this role would expect to hire and manage a team in the future. 

You’ll report directly to the Head of SeatGeekIQ. You will work closely with the other teams within Investments - Trading, Operations, Quantitative Research, etc.- as well as with teams across the SeatGeek business, such as Client Success, Legal, Account Management, Product Management, Engineering, Data Science, and Finance and Accounting.

What you'll do

• Develop & own KPIs, set goals, and oversee measurement & reporting for the EMEA SeatGeekIQ business
• Help define, measure, and execute the tactical and strategic goals for business and product. 
• Manage portfolios across multiple events/event types/markets - implementation, monitoring, rebalancing, asset pricing, trading, and reporting
• Create and deliver presentations and pitches then synthesizing deal terms in conjunction with manager, Finance, and Legal and negotiating with prospects
• Communicate project and initiative statuses to all stakeholders and take responsibility for deadlines and deliverables.
• Guide development and implementation of portfolio/risk management strategies
• Develop existing external client relationships and own issues regarding portfolios and/or trading
• Own and monitor risk limits and overall volatility of portfolio

What you have

• BS/MS/PhD in quantitative field – Physics, Math, Statistics, Engineering OR MBA
• 6+ years of experience trading financial instruments (traditional or alternative) and ownership of P&L at a hedge fund, bank, or proprietary trading firm 
• 3+ years of sales, account management, or other client-facing experience
• Fluency in Excel and SQL (fluency in Python preferred)
• Ability to work in a fast-paced environment and think clearly under pressure
• Strong verbal and written communication skills
• Project management and organizational skills 
• Exceptional quantitative, logical reasoning, and analytical skills
• Ability to travel to clients as needed
• Passion for sports, music, and live events in general

Perks

• Equity stake in a well-funded growth stage company
• Discretionary annual bonus
• Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
• A WFH stipend to support your home office setup
• Generous PTO
• Benefits package that supports health and dental 
• Family building stipend and support
• Annual wellness stipend
• Annual subscription to Headspace
• Pension
• Life Insurance
• Annual subscription to Spotify, Apple Music, or Amazon music

SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!

To review our candidate privacy notice, click here.

We’re looking for a talented Senior Research Data Scientist who expects more from their career. It’s a chance to extend and improve dunnhumby’s world class science capabilities. It’s an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers and suppliers.

Joining our team, you’ll work with world class and passionate people to apply statistical techniques and marketing science to business problems, especially demand forecasting, clustering, and measurement. You’ll support Price and Promotion experts by developing mathematical models, creative methods to address new and complex problems and perform data analysis and model validation. You will also develop innovative solutions for product support and insight using generative AI. You’ll create dunnhumby science solutions that can be delivered across our client and engineered into science modules. You’ll have the opportunity to present results to a variety of internal stakeholders.

What you'll be doing:

• Create new science-based solutions that can be captured as science modules and applied across clients, with support from senior team members.
• Pick up new machine learning approaches, such as regularised regression, clustering or tree-based ensembles, graph-based approaches, natural language processing and neural network techniques and apply them on client data.
• Perform exploratory data analysis to characterise and visualise datasets 
• Extend and develop programming skills, in languages such as Python and Spark, to develop efficient science code for science modules.
• Help identify new opportunities within the Data Science space for future dunnhumby solutions.
• Implement advice from colleagues to resolve challenges.
• Follow Quality Assurance processes, ways of working and meet coding standards.
• Ensure smooth running of your projects, working with senior team members for direction.
• Build strong relationships within the team and with internal stakeholders, ensuring clear and effective communication.

Who you’ll get to work with:

• Applied and Research Data Scientist teams
• Data Science Engineering teams
• Product and Client teams where required

What we expect from you:

• Master’s degree or equivalent in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering or related field.
• Experience with machine learning techniques such as regularised regression, clustering or tree-based ensembles, and the ability to implement them through libraries.
• Experience with Python programming, and handling large data volumes with modern data processing tools, e.g. by using Hadoop / Spark / SQL
• Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas and scikit-learn, along with data visualisation technologies.
• A willingness to present your work to both technical and non-technical audience and to contribute to the wider data science community.

A plus if you also have:

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering or related field.
• Experience in retail sector.

We’re looking for an experienced Data Engineer to join Apadmi and help our clients unlock value from their data through scalable, insight driven platforms. You’ll work with multi disciplinary teams to design and deliver data solutions that power insight, marketing activation and product experiences across mobile and web. This is a role for someone technically strong, commercially aware and ready to step in as an ambassador for Apadmi, helping shape and grow our Data Engineering capability.

As a Data Engineer, you’ll…

Design and deliver scalable data pipelines and architectures that transform raw data into actionable insight and activation across client ecosystems. You’ll collaborate with Product, Marketing, Engineering and Data teams to ensure data is accurate, accessible and driving measurable outcomes, while helping shape Apadmi’s growing data engineering capability in a fast paced, innovative environment.

What you’ll be working on

In this role, you’ll design and build end-to-end data solutions across multiple clients and industries. You’ll develop robust pipelines that power insight, reporting and real time activation, enabling everything from dashboards to personalised customer experiences. You’ll also play a key role in defining best practices, supporting new business opportunities and laying the foundations for Apadmi’s Data Engineering function.

• Design, build and maintain scalable data pipelines across AWS, Azure and GCP
• Develop and optimise data models to support BI tools such as Power BI, Tableau and Looker
• Enable marketing and audience activation through CDPs and direct integrations with paid media platforms
• Integrate data pipelines with web and app ecosystems, including analytics platforms and event tracking frameworks
• Support real time and batch data processing for insight and activation use cases
• Ensure data quality, governance and compliance, including GDPR considerations
• Collaborate with cross functional teams to translate business requirements into technical solutions
• Contribute to defining data architecture standards and best practices across the organisation
• Support new business opportunities with data engineering expertise and solution design
• Participate in agile delivery processes, ideally within SCRUM frameworks

What you’ll bring to the team

You’ll be technically strong, solution oriented and comfortable working across the full data lifecycle, from ingestion and transformation through to insight and activation. You’ll have experience working in fast paced environments, ideally within an agency or consultancy, and be confident communicating complex technical concepts to a range of stakeholders. You’re proactive, adaptable and excited by the opportunity to help build and shape a growing capability.

• Strong experience across cloud platforms, including AWS, Azure and GCP
• GCP Professional Certification (e.g. Professional Data Engineer or Cloud Architect)
• Proven experience building and maintaining production grade data pipelines using tools such as DBT, Airflow or Databricks.
• Proficient in orchestrating cloud environments using Infrastructure as Code (IaC) tools like Terraform.
• Strong SQL and experience with Python or similar programming languages
• Experience working with BI tools such as Power BI, Tableau or Looker
• Understanding of marketing and data activation ecosystems, including CDPs, CXPs, paid media integrations, etc
• Experience integrating data across web and app environments
• Knowledge of data governance, security and compliance best practices
• Strong stakeholder management and communication skills
• Agile experience, ideally SCRUM
• Proactive, flexible and adaptable approach to work
• Commitment to delivering high quality, scalable solutions for both users and clients
• Predominantly office based, with ability to collaborate in person and virtually