Lead engineer for the equities risk platform Work, Jobs (with Salaries)

Lead Platform Engineer
Everflow —Peterlee
- £71,493.00 - £80,998.54 a year
- Full-time
- Hybrid work
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- DevOps
- AWS
- Free parking
- Annual leave
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- £200,000 - £350,000 a year
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- Hybrid work
- Mentoring
- Agile
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- Leadership
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- Full-time
- Remote
- Computer Science
- Bachelor's degree
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- Annual leave
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Lead Software Engineer - Platform Engineering - Chase UK
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- Full-time
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Data Platform DBA Engineer
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Principal / Lead Systems Engineer - Naval
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Corporate KYC : Sr Lead Software Engineer
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Principal Engineer – Risk Decisioning & Agentic AI – BPL
Barclays —London
- Hybrid work
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ITSM JiraSM Platform Engineer - Barclaycard Payments
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- Hybrid work
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Lead Solutions Engineer
Taktile —London
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- Financial services
Lead Software Engineer - Risk/ FORT BUS MGMT
JPMorganChase —London
- Full-time
- Financial services
- AI
- Communication skills
AI Solutions Architect
QAD, Inc. —London
- £90,000 - £110,000 a year
- Full-time
- Remote
- ERP systems
- AWS
- AI
- Annual leave
- Life insurance
Quick apply
7d
Head of Platform Engineering
OnBuy —Bournemouth
- Up to £100,000 a year
- Full-time
- Remote
- Mentoring
- APIs
- Python
- Annual leave
- Employee assistance programme
Quick apply
Senior Java Engineer (Equinox) – Equity Derivatives Tech – VP
Citi —London
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Java
- Annual leave
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Senior Platform Engineer
Xapien —London
- Full-time
- Hybrid work
- Azure
- DevOps
- AWS
- Life insurance
AI Ops Platform Engineer
Barclays —London
- Hybrid work
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Engineering Lead
Naturecan —Stockport
- Full-time
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- JavaScript
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- Employee discount
Quick apply
GRC Engineer - Platform Team
Taktile —London
- Full-time
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Senior Associate, Project Management
Deliveroo —London
- Full-time
- Hybrid work
- PMP
- Project management
- No degree

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Lead Platform Engineer

Everflow -
Peterlee

Apply Now

Job details

Full-time
£71,493.00 - £80,998.54 a year

Benefits

Free parking
On-site gym
Annual leave
Company pension
Life insurance

Qualifications

Cost management
Cloud infrastructure
Azure
Operating systems
Kubernetes
Software deployment
DevOps
.NET
Bash (Unix shell)
AWS
Terraform
Scripting
Computer networking
Agile
IT
Linux
AI
Leadership
Communication skills
Python
PowerShell

Full job description

Job Advert

Lead Platform Engineer

Platform • Peterlee, SR8 2RU • Hybrid, 2 days a week in office • Permanent, full time • £71,493 to £80,998.54 DOE

About Us

At Everflow, we’re on a mission to reshape the utility industry.

We’re an award-winning, fast-growing business delivering smarter, greener water, waste and connectivity solutions to businesses across the UK and we’re proud of the impact we make every day.

Our quest is simple but powerful: bringing services together to make lives simple. By saving our customers time, money, and energy, we give them the headspace to focus on what really matters growing their businesses and making an impact.

And while free coffee and ping pong are nice (very nice, actually), they’re not the reason people stay. Our culture is. We value authenticity over ego, curiosity over comfort, and progress over perfection. We trust our people, encourage bold ideas, and believe success should never come at the cost of wellbeing or belonging.

The Role

This is where you come in.

As our Lead Platform Engineer, you’ll lead a dedicated platform engineering team and be a visible technical leader for Technology across the business. Reporting to the Head of Engineering, you’ll live our values and set the direction for the platform our delivery teams depend on every day.

This is an AI-first role with the scope to build and shape the Platform Team. As Everflow moves to an AI-executed engineering model, you’ll own the platform our delivery teams build and ship software on — the AI code-generation toolchain they use every day and the deployment pipeline that takes their reviewed work to production. You’ll also own the cloud platform and AI compute cost base it all runs on, manage supplier relationships, and help forecast and monitor budgeted costs.

In practice you’ll work across a mixed estate — greenfield AI workloads alongside established services we’re actively modernising, including .NET Framework — taking an automation-first and AI-first approach to delivery and designing efficient, secure cloud solutions with security considered at every layer. We’re a Microsoft house with a focus on staying cloud-agnostic as our technology and tooling evolve.

You’ll be based at our Peterlee (SR8 2RU) office two days a week under our hybrid working pattern, with support for occasional planned out-of-hours work, such as releases and other changes best made outside business hours.

What You’ll Do

You’ll be busy, challenged, and trusted to make a real difference. You’ll:

Lead and build our Platform Team.

Set the platform strategy, including the design of secure cloud solutions, working alongside our Enterprise and Solution Architects, and become the steward of our cloud infrastructure.
Work closely with Technology and Engineering leadership, contributing the platform and AI-execution perspective to our wider engineering and technology strategy — not just the Platform Team’s roadmap.
Own the infrastructure our AI-executed delivery model runs on, an down the selection and governance of our AI tool chain, including monitoring output quality, so the tools we adopt are safe, effective and fit for purpose.
Establish prompt-framework-as-code: versioned, tested and governed prompt libraries, treated with the same rigour as the rest of our codebase.
Govern AI compute as a distinct, material cost class, forecasting and monitoring its spend alongside our wider cloud costs.
Partner with our dedicated Security Engineers to embed security by design into our prompt frameworks, tool chain and deployment pipeline, building security in rather than owning risk sign-off.
Lead continual delivery with an automation-first approach, including how we deploy software through well-designed CI/CD pipelines.
Set and steward platform engineering standards, including golden paths, pavedroadsand reusable infrastructure patterns, to safeguard reliability,securityand overall system design.
Evaluatenew technologies, including AI services, to improve efficiency,securityand scalability, and build proofs of concept to support technology evaluation and product pipeline research.
Provideexpertisein enterprise authentication and identity security.

What We’re Looking For

We’re less about ticking boxes and more about finding the right person. You’ll probably:

Essential

Demonstrable experience leading a team and managing budgets and suppliers, working with both Technology and business roles to deliver strategic outcomes.
Experience operating in, or leading, an AI-assisted or AI-executed software delivery model, with strong judgement for supervising AI-generated work under ambiguity.
5+ years in DevOps and cloud-native infrastructure development with a significant focus on Azure, including Azure DevOps.
Working knowledge of cloud security and DevSecOps practices and tooling, sufficient to partner effectively with a dedicated security specialist embedding security by design.
Strong working knowledge of .NET workloads (we run .NET Framework and .NET 10), enough to set standards and troubleshoot alongside the teams you support. Familiarity with MACH architecture principles is an advantage.
Expertisein Kubernetes (Azure), cloud compute,storageand networking.

Experience with the Azure Cloud Adoption Framework (CAF) and Well-Architected/secure frameworks, including designing and deploying with Azure Enterprise Landing Zones (ELZ), AzurePolicyand the Azure Local / HCI stack.
Proficiencyin Terraform for infrastructure as code.
Strong scripting and automation skills (PowerShell, Bash, Python, YAML).
Strong familiarity with Linux-based operating systems for build servers and containerised deployment.
Strong problem-solving and communication skills, with a genuinely collaborative style that works well across product,engineering and architecture boundaries in an Agile setting.
Experience of, or a clear appetite to develop, theselectionand governance of AI developer tooling, including how tomonitorand assure output quality.
Experience of, or a clear appetite to develop, prompt-framework-as-code: treating prompts and AI configuration as versioned, tested and governed libraries.
An understanding of AI compute as a distinct, material cost class, and how to govern it alongside wider cloud cost management.

Desirable

Experience running AI or ML workloads in production on Azure (AKS-hosted models, vector data stores).
Experience securing AI services, including endpoint protection, private networking, data governance and cost control for AI compute.
Familiarity with other infrastructure-as-code tools such as Bicep.
Familiarity with Azure B2C or federated account security.
Familiarity with Amazon Web Services (AWS) for business continuity.

What We Offer

We take rewarding our people seriously (and not just with biscuits). You’ll get a competitive salary with annual reviews, a generous pension of up to 8% employer contribution, and life insurance worth up to three times your salary.

You’ll enjoy hybrid working (up to three days from home), the option to buy or sell up to five days of annual leave, an extra celebration holiday, and enhanced parental and sickness benefits.

There’s also free breakfast, free parking, an on-site gym at our Peterlee HQ, access to an EV company car scheme, and a cycle-to-work scheme. For your wellbeing, we offer 24/7 counselling, virtual GP access, and a healthcare cash plan covering dental, physio, and optical care because looking after people shouldn’t stop at work.

Equal Opportunities

Everflow is proud to be an equal opportunities employer. We’re committed to creating an inclusive, diverse workplace where everyone feels respected, valued, and able to be themselves. Through our Equity, Diversity, Inclusion and Belonging (EDIB) policy, we ensure fair access to opportunities for all, regardless of background.

Apply Now

Refine Your Search

lead engineer for the equities risk platform jobs

Lead Platform Engineer

Chief Technology Officer

Engineering Director, EU

Head of AI Engineering at AIOS — Remote, $200-$400k/yr + equity

Lead Software Engineer - Platform Engineering - Chase UK

Data Platform DBA Engineer

Principal / Lead Systems Engineer - Naval

Corporate KYC : Sr Lead Software Engineer

Principal Engineer – Risk Decisioning & Agentic AI – BPL

ITSM JiraSM Platform Engineer - Barclaycard Payments

Lead Solutions Engineer

Lead Software Engineer - Risk/ FORT BUS MGMT

AI Solutions Architect

Head of Platform Engineering

Senior Java Engineer (Equinox) – Equity Derivatives Tech – VP

Senior Platform Engineer

AI Ops Platform Engineer

Engineering Lead

GRC Engineer - Platform Team

Senior Associate, Project Management

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