B4B Payments on cord

B4B Payments

AI-Native Software Engineer

External position
London, UK
Hiring internally for B4B Payments?
FinTech · Finance
Helping organisations find the time to do what matters most.
Active
over 6 months ago
Posted
2 weeks ago
Checked
cord regularly checks that external positions are still open
1 hour ago

Skills & Experience

Job roles: AI Engineer
Experience level: Mid, Senior
Core skills considered: AWS, Ruby, Node.js, Cloud Computing
Other skills considered: Docker, CI/CD, Data Analysis

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

Own features end to end across the full SDLC: design, build, test, deploy and support. Expect to go from a rough product brief to something live in production in days, not weeks or months.

Work across our polyglot stack, contributing confidently in Ruby, Node and Go, plus frontend work with modern frameworks and web technologies.

Use AI tooling as a core part of how you build, review and QA software, and help raise the team's AI-assisted delivery practices.

Work effectively within a large, complex monolith, including the parts where AI tooling struggles due to size and interdependencies, and find pragmatic ways to stay productive there.

Use AI-assisted refactoring to actively improve the monolith over time, not only work around it - addressing technical debt in the parts you touch through incrementally, so the codebase gets easier for both humans and AI tooling to work in.

Improve how the codebase is documented and structured so AI code assistants can be guided effectively, for example context files, architecture notes and structured inline documentation.

Convert product specifications into precise engineering specifications, building in enough specificity and context that a code assistant can deliver efficiently and reliably, with minimal iteration, rather than being nudged repeatedly toward a solution.

Use proofs of concept to prove out the right level of specification and methodology, so AI-assisted changes land reliably and with confidence.

Deliver across a full SDLC that is constrained by regulation, including change management, approvals, testing evidence and audit trails, and apply your AI-assisted workflow within those controls.

Navigate our regulatory and compliance controls efficiently, and propose ways to improve delivery speed and process without weakening those controls.

Build security into the SDLC by default, from secure coding and threat modelling to dependency scanning and security review, and apply AI-assisted workflows without compromising the security of secrets, data or the supply chain.

Build and run services on AWS, using containers on ECS and EKS, with GitHub for source control and CI.

Work with data at a high standard: data analysis, ETL, and data QA supported by AI tooling.


What we are looking for

  • A proven track record as a strong engineer, with genuine full-SDLC experience.
  • Demonstrable evidence of converting your own workflow to an AI-driven SDLC. Be ready to show how, not just say that you do.
  • Breadth across languages: solid hands-on experience in more than one of Ruby, Node and Go, and comfortable picking up others.
  • Good frontend skills and working knowledge of modern frontend frameworks and web technologies.
  • Proven experience working in large monolithic codebases, including ones that AI tools find hard to navigate, and the judgement to know where AI helps and where it does not.
  • A bias toward improving the codebase you inherit, not just navigating around its limits - comfortable using AI-assisted refactoring to modernise legacy code in place, with a concrete example of having done it.
  • Hands-on experience with code documentation techniques that give AI code assistants the context and guidance they need to be productive, such as context and guidance files, architecture documentation and well-structured inline docs.
  • Strong product sense: able to translate a product specification into a detailed engineering specification, deciding the level of technical specificity a code assistant needs to deliver efficiently and reliably. This is a skill you can demonstrate through practice and portfolio, not only through years of experience.
  • A deliberate AI-assisted delivery methodology: uses proofs of concept to refine the specification and context so changes can be delivered reliably and with confidence, with minimal iteration, rather than by repeatedly nudging the tool.
  • A get-stuff-done operator who takes ownership and unblocks themselves. Comfortable being empowered and enabled to make progress, and confident navigating the organisation to get what they need to deliver.
  • Fast at absorbing complex, heavily regulated domains and applying that understanding in your delivery.
  • Genuine comfort operating in a regulated environment. You understand the controls and the regulation behind them, work within them intelligently rather than treating them as an obstacle, and can propose efficiency improvements that keep compliance intact. Familiarity with, or the ability to rapidly get to grips with, frameworks such as DORA, PCI DSS, SOC 2, EMI regulations and GDPR.
  • You understand that the SDLC is constrained by these frameworks and can still deliver efficiently within it, using AI-assisted ways of working that respect change control, evidence and audit requirements rather than bypassing them.
  • Security built into how you develop, at an engineering and development level, not just awareness of policy. You can speak to secure coding, threat modelling, dependency and secrets management, and pipeline security, and you understand how to use AI tooling without introducing security or data-handling risk.
  • Comfortable across the AWS ecosystem, containerisation (ECS and EKS), and relational databases (MySQL, with some PostgreSQL).
  • Strength in data analysis, ETL and data QA, ideally with AI tooling.

Company Benefits

  • Macbook Pro
  • Remote working
  • Pension
AI-Native Software Engineer at B4B Payments
Position posted 2 weeks 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
Alex Yeates on cord
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