Doit on cord

Doit

Senior Cloud Architect

External position
Remote in UK
Hiring internally for Doit?
Cloud and Infrastructure · Consultancy
Your cloud, simplified
Posted
2 months ago
Checked
cord regularly checks that external positions are still open
16 hours ago

Skills & Experience

Job roles: Cloud Engineer
Experience level: Senior
Core skills considered: AWS, Artificial Intelligence, Machine Learning, Cloud Computing
Other skills considered: CI/CD, Data Pipelines, Security and Compliance, Terraform

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: Remote
Work from: Within United Kingdom
Visa sponsorship: Not available

Job Description

As a Senior Cloud Architect, you will be part of our global Forward Deployed Engineering organization, working with rapidly growing companies in EMEA and around the world. This role sits within FDE Delivery and focuses on our install base, product adoption and customer health.

You will:

  • Lead the design and implementation of production-grade ML and Generative AI solutions on AWS (with awareness of multi-cloud environments).
  • Act as a hands-on expert and trusted advisor for customers running AI/ML workloads at scale, from initial discovery through deployment and optimization.
  • Translate complex business problems into cloud architectures that are secure, reliable, cost-efficient, and observable.
  • Help evolve how DoiT uses AI/ML internally and with customers by turning one-off solutions into reusable patterns and "gravel roads" that influence the product roadmap.
  • You will focus more on install base health, product adoption, proactive engagements, and account-team work.

Responsibilities


Core - Deep Cloud Expertise

Be the trusted cloud engineer customers lean on for high‐impact technical optimization work across cost, reliability, security, and performance.

Design and help implement solutions that:

  • improve cost efficiency (rightsizing, reservations/commitments, storage optimization, etc.)
  • increase reliability and resilience (HA/DR architectures, SLO/SLA‐aware designs)
  • strengthen security posture (IAM, network segmentation, data protection, least‐privilege)
  • reduce operational toil (automation, self‐service, guardrails, policy enforcement)

Plan and deliver structured engagements such as Cloud Optimization Sessions, cost/efficiency/performance workshops, security posture or reliability reviews, and architecture deep dives / "well‐architected" style assessments.

Respond to Expert Inquiry / support requests that require deep cloud engineering expertise, ensuring high‐quality, well‐explained resolutions.

Bring domain depth in:

  • ML / GenAI - deploying and operating ML/GenAI workloads (training and inference), GPU utilization, scaling, and cost control; MLOPS and integrating workloads with monitoring, logging, and FinOps; safe and efficient use of managed AI services.

Builder - Product Feedback & Contribution

Turn one‐off field work into reusable assets that improve both customer outcomes and the product itself.

  • Convert one‐off customer solutions into Gravel Roads - reusable patterns such as playbooks, Terraform modules, CloudFlow templates, cloud diagrams, Composer Recipes -> DCI Insights, and internal /external documentation.
  • Provide structured feedback to the DoiT Product and Engineering teams on:
    • product gaps and friction points discovered in real‐world usage
    • new opportunities for automation and workload lenses within DCI
    • telemetry and tracking that would make future FDE work more efficient
  • Contribute directly to DCI where appropriate - from feature requests and feedback, to contributing code, to owning specific DCI features end‐to‐end.
  • Build agent skills, scripts, and internal tooling that codify your expertise and scale it across the team.
  • Contribute to internal enablement: share learnings via documentation, demos, office hours, or training sessions for other FDEs and Customer Success team members.

Account Team - Embedded Execution

Operate as an embedded technical partner inside the account team.

  • Work in the account team model alongside Customer Success Managers (CSMs), Account Managers (AMs) to deliver impactful outcomes.
  • Own the technical depth lane: technical deployment & integration, automation & platform adoption, signal‐based proactive engagement, and most importantly, repeatable Cloud Optimization solutions.
  • Partner with customers' engineers, architects, and FinOps teams to translate vague pain points into concrete technical optimization plans - and help them ship changes that stick and create continuous value.
  • Co‐deliver complex or multi‐domain engagements with peer FDEs (for example, infra + data + ML/GenAI), reviewing and refining designs, and engagement plans together.
  • Communicate complex technical topics clearly to both engineers and non‐technical stakeholders (FinOps, finance, leadership), and maintain clear documentation of architectures, decisions, and implemented changes so customers and fellow FDEs can sustain and build on your work.
  • Contribute to a culture of continuous improvement within the global FDE community through design reviews, internal forums, enablement sessions, and experimentation.

Product Expert - DoiT Cloud IntelligenceTM (DCI)

Become an expert in DCI and use it hands‐on to drive concrete customer outcomes.

  • Master DoiT Cloud IntelligenceTM products and services - including Cloud Analytics, DCI Insights, Cloud Composer, CloudFlow, DataHub, PerfectScale, and other Enterprise Platforms.
  • Use DCI hands‐on to:
    • Build and operationalize Cloud Analytics and Allocations to create dashboards and reports for customer engineering, finance, and leadership.
    • Use DCI Insights to identify and prioritize cost, risk, and reliability opportunities, and shepherd them through to closure.
    • Implement Cloud Composer queries, build recipes that result in hand-crafted insights across all customers' engineering use cases.
    • Build CloudFlow automations (e.g., anomaly routing, scheduled actions, guardrails, policy enforcement).
    • Use Built in Integrations such and utilize DataHub and other workload‐intelligence features to optimize key business and workload data inside DCI.
  • Help customers embed DCI into existing observability, CI/CD, and governance processes so it becomes trusted and indispensable in day‐to‐day cloud operations.

Qualifications


Experience

  • 4+ years of experience architecting, deploying, and managing cloud-based AI/ML solutions, including production workloads.
  • Proven track record designing and operating large, distributed systems on AWS, selecting appropriate services and patterns to meet business and technical goals.

AWS & GenAI / ML Expertise

  • Advanced proficiency with AWS services relevant to AI/ML and GenAI.
  • Hands-on experience with Amazon Bedrock for deploying and scaling foundation models and Generative AI workloads.
  • Experience fine-tuning and deploying Large Language Models (LLMs) and multimodal AI using Amazon SageMaker (including JumpStart).
  • Strong prompt engineering skills and familiarity with rigorous model evaluation (quality, safety, performance).
  • Understanding of agentic capabilities and patterns for AI agents that autonomously perform tasks and integrate with existing systems.
  • Experience with Amazon Q Business and Amazon Q Developer (or similar tools) to accelerate insight generation and development workflows.

ML Pipelines, Data & MLOps

  • In-depth knowledge of Amazon SageMaker components such as Pipelines, Model Monitor, Data Wrangler, and SageMaker Clarify for bias detection
Senior Cloud Architect at Doit
Position posted 2 months 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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