Kraken Technologies on cord

Kraken Technologies

Senior Software Engineer

External position
London, UK
Hiring internally for Kraken Technologies?
EnviroTech · Sustainability
Driving the global green energy revolution through transformational EnTech. Part of the Octopus Energy Group.
Active
6 months ago
Posted
a week ago
Checked
cord regularly checks that external positions are still open
5 hours ago

Skills & Experience

Job roles: Back End
Experience level: Senior
Core skills considered: Python, AWS, Cloud Computing, Security and Compliance, Machine Learning
Other skills considered: Artificial Intelligence, APIs, Docker, 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 (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

You 9ll work in the Agent Safety team. We build the shared platforms, harnesses, and guardrails that enable engineering and product teams to safely, reliably, and deterministically use machine learning and generative AI agents for internal systems and workflows across the business. This is a delivery-focused team that sits at the intersection of engineering, security, and internal enablement.

We 9re hiring a Senior Software Engineer to join our newly formed Agent Safety / Evals team. As AI agents take on more autonomous tasks across Kraken's internal workflows, you will help ensure they do so securely, predictably, and within clearly defined operational boundaries.

This is a hands-on senior individual-contributor role. Working with the Lead Software Engineer and the broader AI team, you will own substantial parts of our evaluation, safety, and reliability stack - turning technical direction into production systems, contributing to architecture decisions, and raising engineering standards through thoughtful collaboration and mentoring.


What you 9ll own

  • Build internal agent-safety systems: Design and implement services that improve the reliability, security, and determinism of LLMs and autonomous agents, keeping them within expected operational boundaries
  • Develop robust evaluation frameworks: Build scalable harnesses and evals for internal workflows and AI skills. Define meaningful test cases, interrogate output quality, and improve the reproducibility of the systems used to measure it
  • Implement guardrails and governance controls: Develop pre- and post-generation controls and translate agreed governance requirements into maintainable software across internal tools and platforms
  • Strengthen AI security and observability: Engineer authentication and permission patterns for internal agents, improve monitoring and tracing, and contribute to operational playbooks for AI-specific anomalies
  • Support verification and red teaming: Design tests and participate in continuous verification and red-teaming exercises to identify prompt injection, data-access, and unpredictable-behaviour risks before they reach production
  • Operate services in AWS: Deploy, run, and support high-throughput, low-latency safety services; make sound architecture, reliability, and cost trade-offs; and work effectively with platform, techops, and security partners
  • Raise the engineering bar: Contribute to technical decisions, review designs and code, mentor other engineers, and help establish pragmatic patterns that can be reused across AI Foundations

What you bring to the party

  • Strong senior-level software engineering: Proven experience owning complex components or services end to end, from design and implementation through testing, deployment, and operation
  • Deep engineering fundamentals: Strong judgement around system design, concurrency, security, testing, and architecture trade-offs. Production Python experience is preferred
  • Practical AI evaluation and safety experience: A critical understanding of LLM behaviour and experience building or using evaluation harnesses to measure output quality and reliability
  • Security and governance mindset: Experience with areas such as threat modelling, authentication and authorisation, red teaming, data-access controls, or guardrails for internal platforms
  • Cloud experience: Comfortable running services in AWS, owning reliability and scalability, and collaborating with platform, techops, and security teams
  • Clear communication and collaboration: Able to explain technical trade-offs, challenge constructively, and turn complex safety and evaluation findings into practical action

What Success Looks Like

  • Reliable delivery: You ship well-tested safety and evaluation capabilities that are adopted by internal engineering and product teams
  • High-quality evals: Evaluation harnesses produce meaningful, reproducible signals that reflect the real-world performance and safety of Kraken's internal AI tooling
  • Resilient infrastructure: The services you own are observable, secure, scalable, and supported by clear operational practices
  • Strong technical collaboration: You work effectively across AI Foundations and partner teams, improve designs through constructive challenge, and help others deliver safely and confidently

Bonus points

  • Evaluation and safety frameworks: Experience with tools such as Inspect AI, Ragas, OpenAI Evals, or NeMo Guardrails
  • Backend engineering: Django experience and strong patterns for security, performance, and maintainability
  • Observability: Experience using Datadog for tracing, monitoring, and investigating complex AI-enabled systems
  • AI engineering tooling: Familiarity with tools such as Pydantic AI, LiteLLM, or LangChain

Company Benefits

  • Wondering what the salary for our roles?Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit!
  • Octopus Energy is a unique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about!
  • View all our perks [What do you get? Click here]
Senior Software Engineer at Kraken Technologies
Position posted a week 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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