Job requirements

Every year, hundreds of thousands of homeowners could move but don’t, and homes that could sell never reach the market. The property market is slower and more closed than it should be. Homesearch is building the intelligence layer that gets it moving, connecting people, homes and agents through data and AI. Our vision is a fully connected, faster, more open property market.

We’re one of the UK’s leading PropTech platforms for estate agents, helping them win more listings, understand their local market, and turn existing contacts into new instructions. Our products, including HAILO and ReContact, are picking up real momentum and fast becoming tools agents know and trust. We’re a trusted partner to Reapit, Dezrez, Rex, MRI and other leading CRMs, and we’re on our way to One Homesearch: a single, unified platform rather than a collection of tools.

💼 About the Role

Each of our products runs on property data. Billions of structured data points across properties, addresses, listings, agents and market events, plus hundreds of millions of images, floorplans and other property assets. It arrives through multiple feeds and acquisition methods, each with different freshness, completeness and reliability, and it changes constantly. It serves both live customer products and our AI and ML workloads. That data platform is the company.

The hard part is making that trustworthy: resolving inconsistent records into reliable property, address, listing and agent entities, keeping it fresh as the market moves, and serving it economically to live products, search and production AI from one platform.

You’ll join a strong team of engineers and data scientists to build and scale the next generation of Homesearch’s data and AI platform. Working with large property datasets, you’ll automate and improve data pipelines, strengthen our platform foundations, and build reliable, high-performance services. Your work will help the wider team ship safely and quickly, while enabling our data scientists to develop production-grade AI models that power products used by estate agents across the UK.

You’ll sit in our Data & AI team, working alongside two data engineers and reporting to Dan Guo, our Head of AI and Data, who worked on AI, data and Copilot at Microsoft and led data at SwiftKey before joining us. You’ll work with him closely on the architecture: challenging decisions, shaping them, and turning ambitious AI ideas into systems that hold up in production.

This is a hands-on role. You’ll be in the code, the pipelines, the databases and the cloud infrastructure, and you’ll have real say in what the platform becomes.

🔥 What You’ll Do

• Build high-performance data and AI platforms behind our property technology services, spanning cloud infrastructure, data pipelines and production AI models.
• Work hands-on across the codebase, data pipelines, databases and cloud infrastructure to improve performance, scalability and reliability.
• Assess existing systems against real requirements, including performance, freshness, reliability, security and cost, and shape a practical plan for change.
• Modernise constrained legacy components incrementally, behind documented interfaces, without disrupting production.
• Improve how we acquire, ingest and serve data across feeds with different formats, freshness and reliability.
• Define canonical data models, shared identifiers and data contracts for the entities everything depends on: properties, addresses, listings, agents.
• Make large volumes of property assets, including images and floorplans, usable by our products and AI workloads.
• Build automated testing, deployment, observability, recovery and rollback into the platform.
• Create reusable components, templates and documented patterns so other engineers can work independently and safely.
• Share what you know through documentation, code review and hands-on work with our data, software and AI/ML engineers.
• Work closely with data scientists, product teams and senior leaders to translate business priorities into high-performance data pipelines and platform capabilities that deliver measurable value.

😊 About You

• You write, test, debug and explain production code, in Python, Java, Go, Scala, C#, TypeScript or similar, and your SQL and relational modelling are strong. You stay accountable for code you built with AI assistance.
• You’ve built and run modern data platforms: ingestion, transformation, orchestration, batch or streaming, and data serving, with a real grasp of operational databases, object storage, lakehouses and data contracts.
• You have deep production experience on at least one major public cloud (AWS, Azure or GCP), using Infrastructure as Code, CI/CD, automated testing, containers or serverless.
• You’ve modernised legacy systems incrementally, made architecture decisions you can defend with evidence, and built patterns that cut manual work and reduce reliance on any one person.
• You own production reliability: monitoring, alerting, incident investigation, recovery, performance and cloud cost.
• You’ve handled security, governance and data quality properly: access management, secrets, encryption, audit logging, lineage and cataloguing.
• You’ve supported data scientists and ML engineers, and you’re comfortable with large datasets.
• You use AI-assisted engineering tools where they improve development, testing, documentation or troubleshooting, while remaining accountable for the quality, security and correctness of what you ship.
• You’re collaborative and you listen. You respect what people already know about the systems and the domain.
• You’re open to changing your mind when the evidence changes, and open to learning things you haven’t done before. We rate this above years of experience.
• You take initiative, hold a high bar, and think architecturally rather than only executing tasks.
• You’ve worked at real data volume, somewhere that had to scale, and you’re comfortable when priorities and constraints move.

Extra points for:

• Building or running web-scraping and data-acquisition systems.
• Experience with PostgreSQL, MySQL or PHP based services.
• Supporting data platforms used by both live products and AI/ML workloads.
• Property, listing or other entity-resolution data.
• Search and indexing: Elasticsearch, OpenSearch or similar.
• LLMs, RAG, AI agents and the major AI application frameworks.

✨ How We Work

Our values run through everything we do. Remove Friction: make everything seamless. Stay Curious: ask, learn, improve. Own It: take the lead, own the result. Raise the Bar: think big, deliver value. We’re high performers who care about the mission and each other. High standards, open communication, and no room for ego or politics.

⛳️ Compensation, Perks & Benefits

• Competitive salary, plus a performance bonus and share options, so you share in the upside you create.
• 25 days holiday plus bank holidays.
• A MacBook to work on.
• An office with a free on-site gym, free yoga and gym classes, sauna and regular events.
• Hybrid working, 2 to 3 days a week at our office in London Victoria.
• The chance to own the data platform a whole company is built on, at a fast-growing PropTech at a real turning point.

incident.io is the AI software reliability platform trusted by engineering teams at Netflix, Etsy, and 2,000+ companies who can’t afford downtime.

The stakes are real, the talent is insane, and somehow it’s a genuinely lovely place to work. We all pull our weight, go the extra mile, and put in the bit of magic most companies don’t have time for, all while having fun and never taking ourselves too seriously.

We’ve raised $96 million from Index Ventures, Insight Partners, and Point Nine, and we’re growing fast. There’s never been a better time to join.

The role in one line

Being a Platform Engineer at incident means being the detective every other engineer wishes they could clone, tracing a mystery from a flaky load balancer to a bad Terraform diff, turning “why is this broken” into “here’s exactly why, and here’s how we stop it happening again.”

What that looks like day to day

As a Platform Engineer at incident, you own everything that isn’t the product itself: infrastructure, CI/CD pipelines, databases, and the systems that let our product engineers ship fast without thinking twice about what’s underneath them. It’s a genuinely varied role. One day you’re tracing a scaling issue through a database, the next you’re rethinking a Terraform module, the next you’re pairing with a product engineer to unblock something that’s been quietly slowing them down.

Right now, scaling is front and centre. We’ve got more product engineers building more of the product than ever, and more customers putting real load on it, so the work you do directly shapes whether that growth feels smooth or painful.

You’ll work closest with our product engineers, day in and day out. You’re part of a small, three-person platform team, which means your fingerprints are on everything. There’s no hiding in a big team here, and no waiting for someone else to pick things up.

Like the rest of engineering, we lean on tools like Claude Code and Cursor to move faster, not as a gimmick, but because it genuinely changes what’s possible day to day.

Who you are

• You take real ownership. You don’t wait to be told what to fix, you see the thing that’s slowing everyone down and you go fix it.
• You build tooling like a product engineer would. You think about the person using it, not just whether it technically works.
• You’re genuinely great at observability. You don’t just set up dashboards because you’re told to, you want to actually see what’s happening in the system, and you get restless when you can’t.
• You’ve got a knack for unpicking confounding issues, the kind where the bug could be in the app, the database, the load balancer, or a Terraform file, and you’re the person who enjoys following the thread until you find it.
• You care, properly, about making other engineers’ lives better. The measure of a good day for you isn’t just “it works,” it’s “that was annoying for people, and now it isn’t.”
• You keep half an eye on what’s new in security, cloud, and developer experience, not because you have to, but because you’d be reading about it anyway.
• You’re comfortable with high autonomy. Nobody’s going to hand you a detailed spec, you’re trusted to figure out what needs doing and just do it.

Supporting you

We work hard and we think life outside work matters just as much. Our benefits pack is built to support both.

• Private medical insurance. Seriously good cover – we want you and the people you love to be looked after.
• Competitive annual leave. Showing up at your best requires switching off, and we make sure you have time to do that.
• First Friday of every month off. Yes, seriously.
• Enhanced pension. We put real money in, because future-you deserves better than an afterthought.
• Meaningful equity. We’re rapidly scaling, and everyone who helps shape the outcome should share in it.
• Unlimited AI spend. For everyone, not just engineers. We’re all-in on AI across the company, and we expect you to be too.
• Generous parental leave. The early days with a new baby matter more than anything we’re doing here, and we want you to be present for them.
• Two budgets that have your back. £1000 to invest in your setup, £500 a year to invest in yourself.

Era4 develops, owns and operates AI infrastructure across the UK, powered by renewable energy. Converting legacy industrial and energy sites into modern data-centre facilities, Era4 is combining brownfield regeneration opportunities with cleaner, efficient, scalable compute capacity for healthcare, research, finance, enterprise, and public-sector organisations

Kraken powers some of the most innovative global developments in energy.

We create the technology that redefines utilities and unlocks a new energy system of the future. By optimising renewable generation, building a more intelligent grid, and empowering utilities to deliver an exceptional customer experience, our operating system is transforming the industry worldwide.

It’s an incredibly exciting time to work in energy. Join us on our mission to improve the lives of ONE BILLION humans within the decade and shape a cleaner, better future for everyone.

KrakenFlex

The energy industry is undergoing the largest transformation since industrialisation at an unprecedented rate of change and we are positioning ourselves to be at the heart of that change.

Our aim is to be the leading global provider of solutions that enable customers to release £30bn of value per annum from distributed energy resources (DERs). We are building a Software as a Service (SaaS) subscription business with a global addressable market of £2.4 billion per annum, by digitally connecting hundreds of thousands of DERs with energy markets.

We have already attained a market leading position and KrakenFlex is a recognised thought leader and innovator in the industry.

We’re looking for a skilled and pragmatic Lead Platform, DevOps, or Cloud Infrastructure engineer to join and help lead our growing team.

Specifically, we’re looking for a Lead Platform Engineer to manage a team of 5-8 Platform Engineers and help us build and scale Kraken’s AWS cloud foundation, which forms the basis for our market-leading grid flexibility and customer management products. We’re an innovative and customer-focussed company, helping to drag the utilities industry into the 21st century, using a mixture of serverless and containerised technologies in AWS.🚀 What you’ll own

• Have ownership of a functional team within Platform Engineering, working closely with the Director and Heads of Platform Engineering to define strategic objectives and team direction
• Own the production stability and reliability of the team’s services, ensuring they are built to scale and operate effectively in production
• Manage team priorities and deliveries
• Collaborate regularly and effectively with Platform Engineers in your functional team to deliver the technical implementation of the team’s strategic priorities, working alongside the Product Manager.
• Lead delivery of major initiatives on clear timelines
• Partner effectively in the wider Platform Engineering team to deliver outcomes
• Build a strong culture of open communication where teammates can ask questions without fear, promoting a positive and inclusive team environment.
• Live the Kraken culture and values, and be a role model for your team
• Line-manage a group of Platform engineers
• Set clear performance expectations and goals for team members
• Regularly review individual and team performance, offering actionable insights and constructive feedback to support and grow team members
• Deliver technical improvements such as small features and bug fixes, as well as larger projects with the team
• Support team delivery through code reviews, technology research and architectural guidance
• Drive and improve the non-functional elements of production systems owned by your team

🧠 What you’ll bring to the party

• Great experience with AWS. We use a lot of different AWS services and not just the standard few, so you should be comfortable with serverless, managed, and containerised services.
• Record of successfully and consistently delivering critical path projects, on time and at scale
• Excellent communication, with a focus on doing this asynchronously across multiple timezones and countries
• Meticulous organisation and planning skills
• Experience of mentoring and coaching a team to perform at a high-level of quality
• Experience managing and supporting large-scale internet-facing distributed systems, for millions of customers
• Knowledge of security best-practices, security and CI/CD tooling, and methodologies

⭐️ Bonus points

• Previous experience in leading technical delivery for small, highly-autonomous teams
• Track-record of effective collaboration with other teams and departments to drive holistic outcomes
• A proactive, innovative mindset with the ability to drive continuous improvement
• Previous experience working in a remote-first asynchronous team providing 24×7 support
• Familiarity with some of our tech stack:
• Typescript, python, or similar programming languages
• Terraform, or a similar infrastructure-as-code tool
• AWS services such as Lambda, IAM, EventBridge/SQS/SNS, DynamoDB, ECS, EKS
• Messaging queues, event-driven async processing or similar technologies
• Docker and Kubernetes
• Experience with Linux

Are you ready for a career with us? We want to ensure you have the right tools and environment to unleash your potential. If you have any accommodation requests, please contact us at inclusion@kraken.tech. We’ll do our best to tailor the experience to your needs so you can feel comfortable, confident and be at your best!

Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we’re looking for! At Kraken, we’re creating a team of genuine, honest, empathetic people. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status.

*Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice, (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with your application and use of our website. These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you’ve read, understood and consent to these terms

Please note that, in line with our current recruitment policy, we are unable to offer visa sponsorship for this position; applicants must have the right to work in the country that they’re applying to, at the time of application.*

Kraken powers some of the most innovative global developments in energy.

We create the technology that redefines utilities and unlocks a new energy system of the future. By optimising renewable generation, building a more intelligent grid, and empowering utilities to deliver an exceptional customer experience, our operating system is transforming the industry worldwide.

It’s an incredibly exciting time to work in energy. Join us on our mission to improve the lives of ONE BILLION humans within the decade and shape a cleaner, better future for everyone.

At Kraken we’re looking to revolutionise the energy system to make power cheaper, greener and better for people around the world. Our tech platform is already licensed to support 60 million customer accounts in 17 countries, and we aim to serve 100 million globally by 2027.

Our technology team has grown extremely quickly as a result. With this rapid growth, we are looking for Platform Engineers to join our team.

The data platform team works across the whole customer domain, handling everything from natural language understanding of our customer communications to processing billions of smart meter readings every day to support clients in creating customised and market leading smart energy tariffs.

As the volume, scope, and geographical range of our data offerings rapidly expand, we’re looking for an experienced Platform Engineer to join the team to help us build and maintain our platform, pipelines and data sources.

We’re passionate about building great technology to change the way customers use, and think about, energy for the good of the planet. This is a fantastic opportunity to work with us on data problems that genuinely move us closer to Net Zero, and support the energy transition.

We employ software engineering best practices to design, test, and deploy our data platform and services.

What you’ll have…

• First and foremost, we want our Platform Engineers to have a passion for writing high quality code and building lean processes. It would be helpful to have experience/expertise/knowledge in the following (in rough priority order):
• AWS
• Terraform/OpenTofu IAC
• Postgres
• CDC systems

Kubernetes (EKS)

• Python
• Docker
• An interest or experience in data/network security would be a nice-to-have
• Datadog / Grafana / Prometheus
• Data related products (Airflow, Jupyter, Spark, dbt etc)
• The projects will be varied and we’re looking for someone who can work autonomously and proactively to scope problems and solve and deliver pragmatic solutions

Our Stack…

• Python as our main programming language
• Terraform for our infrastructure definition
• Kubernetes for data services and task orchestration
• Argo CD for application deployments
• Airflow purely for job scheduling and tracking
• CircleCI for continuous deployment
• Parquet and Delta file formats on S3 for data lake storage
• Postgres / Aurora for our relational databases
• Spark for data processing
• dbt for data modelling
• SparkSQL for analytics
• Streamlit for data applications

Are you ready for a career with us? We want to ensure you have the right tools and environment to unleash your potential. If you have any accommodation requests, please contact us at inclusion@kraken.tech. We’ll do our best to tailor the experience to your needs so you can feel comfortable, confident and be at your best!

Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we’re looking for! At Kraken, we’re creating a team of genuine, honest, empathetic people. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status.

*Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice, (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with your application and use of our website. These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you’ve read, understood and consent to these terms

Please note that, in line with our current recruitment policy, we are unable to offer visa sponsorship for this position; applicants must have the right to work in the country that they’re applying to, at the time of application.*

Qualifications