Waystone on cord

Waystone

Lead Automation Engineer

External position
Leeds, UK
Hiring internally for Waystone?
Finance
Providing certainty in the world of asset management
Posted
a month ago
Checked
cord regularly checks that external positions are still open
2 days ago

Skills & Experience

Job roles: Automation Engineer
Experience level: Lead
Core skills considered: APIs, CI/CD
Other skills considered: Scrum

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

Reporting to the AI and Automation Manager, the Lead Automation Engineer will be vital to the success of Waystone's engineering, integration, automation and assurance capabilities. The role leads the design, delivery, governance and continuous improvement of automation across Waystone, where the process and the integration are the product: driving efficiency by removing manual and repetitive work, orchestrating workflows, and connecting systems through APIs, webhooks and event-driven integration. Acting as the technical authority for workflow automation platforms - with n8n and Microsoft Power Automate as key strategic technologies - the role sets the standards, reusable patterns and guardrails for building reliable, secure and supportable automations.

The role increasingly draws AI into workflows as a step, such as LLM calls to classify, extract or summarise, working in close partnership with the AI Engineering team, which owns agents, LLM-powered applications, prompt engineering, evaluations and AI safety.


Essential Duties and Responsibilities

  • Act as Waystone's technical lead and subject matter expert for workflow automation and orchestration - with n8n and Microsoft Power Automate as the key strategic platforms - driving efficiency across the organisation by removing manual and repetitive work.
  • Define and maintain the automation Centre of Excellence (CoE), including automation standards, reusable patterns, templates, documentation expectations and operational guardrails.
  • Lead the design and delivery of complex, enterprise-grade automation solutions integrating SaaS platforms, internal systems, APIs, cloud services and third-party providers.
  • Provide hands-on contribution to automation delivery, including workflow design, configuration, scripting, integration logic and technical validation.
  • Establish best practice for how automations are designed, tested, deployed, monitored and supported, including error handling, version control, environment separation and observability.
  • Embed AI as steps within workflows, such as LLM calls to classify, extract or summarise, consuming capabilities and patterns provided by the AI Engineering team, and preferring deterministic automation where it is safer, simpler or more cost effective.
  • Ensure automations that consume AI do so responsibly, operating within the guardrails, evaluation and responsible-AI standards defined by AI Engineering, with appropriate human oversight, auditability, cost control and operational ownership.
  • Partner with the Lead AI Engineer and AI Engineering team on hybrid solutions, owning the workflow, integration and orchestration layer while AI Engineering owns agents, LLM-powered features, prompt engineering, model selection and evaluations.
  • Support business users, Operations Champions and Power Users in the safe design and adoption of no-code and low-code automations, providing reusable guidance, examples and guardrails.
  • Guide the transition of user-developed automations into supported enterprise solutions when they outgrow personal or team productivity use cases.
  • Review automation designs to identify fragility, unnecessary complexity, security risks, control gaps and long-term support issues.
  • Evaluate emerging automation technologies, including computer-use agents and successors to traditional RPA, and maintain a roadmap for automation capability maturity.
  • Uplift automation capability across the business through coaching, knowledge sharing and practical guidance, and promote automation-first thinking, complementing the broader AI literacy and enablement agenda led by AI Engineering.

Requirements

  • Deep understanding of low-code automation, workflow orchestration and intelligent process automation, with strong hands-on experience of n8n and Microsoft Power Automate.
  • Good understanding of the wider Microsoft Power Platform, and awareness of complementary workflow platforms such as Workato, Xceptor and Appian, with no immediate expectation to use or own them.
  • Strong understanding of how to consume AI within workflows, including LLM calls for classification, extraction and summarisation, intelligent document processing and human-in-the-loop design.
  • Practical judgement on when to use AI in automation, and when deterministic, rules-based automation is safer, simpler or more cost effective.
  • Experience integrating AI services as steps within automation platforms, with sufficient awareness of agents, prompts, guardrails and frameworks such as Microsoft Agent Framework and LangChain to collaborate effectively with AI Engineers.
  • Strong understanding of APIs, webhooks, event-driven integration, authentication patterns, data mapping and system-to-system communication.
  • Fluency in modern engineering practice, including source control, code review, automated testing, CI/CD and environment management.
  • Good understanding of governance, security, privacy, auditability and data handling in a regulated enterprise environment.
  • Clear communication across technical and non-technical audiences, with the ability to influence stakeholders and promote best practice without over-engineering.
  • The ability to mentor engineers, analysts, Operations Champions, Power Users and business users, uplifting automation capability across the wider organisation.

Experience

  • 5+ years' experience in automation, integration, software engineering, workflow orchestration or a related technical discipline.
  • Proven experience designing, leading and delivering enterprise automation using low-code platforms such as n8n or Microsoft Power Automate.
  • Experience establishing automation standards, governance and reusable patterns, ideally within a regulated environment.
  • Experience embedding AI capabilities as steps within business workflows, delivered in partnership with AI engineering teams.
  • Experience collaborating with cross-functional teams and mentoring others in automation, workflow design and platform best practice.

Education

  • Bachelor's Degree in Computer Science, IT, Engineering, or a related discipline (or equivalent practical experience).
  • Relevant certifications in automation, Microsoft Power Platform, software engineering, integration, process improvement, or AI are desirable.
Lead Automation Engineer at Waystone
Position posted a month ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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