Amazon Web Services (AWS)
Startup Solutions Architect, AWS Startups

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Solutions Architect (Startups) – AWS
AWS makes cloud computing accessible to the world’s most ambitious startups, enabling founders to scale their world-changing ideas. As a Startup Solutions Architect, you’ll play a critical role in shaping how emerging companies leverage AWS to drive innovation, accelerate growth, and accelerate their trajectory from "potential" to operational success.
About the Role
Collaborating directly with startup founders, CEOs, and CTOs, you'll act as a trusted technology advisor, bridging the gap between ambition and execution. This role blends technical expertise, hands-on problem-solving, and customer-centric strategy, with a focus on:
- Building scalable, cost-effective cloud architectures tailored to startup needs.
- Educating founders and engineering teams on industry best practices and the boundaries of cloud when building at scale.
- Creating technical content (reference architectures, whitepapers, workshops) that informs future AWS capabilities.
- Advocating for startup needs in product roadmapping by capturing and translating real-world customer workflows and challenges.
When you excel, founders will trust AWS as their accelerator—confident that they can focus on development rather than shaded complexity.
You’ll be part of AWS’s SMGS (Sales, Marketing, and Global Services), a global team committed to driving revenue through customer success from small-business growth stages to unicorn level. Your high-touch engagements will span venture-capital-backed startups and mission-critical cloud builders, ensuring every interaction delivers measurable value.
Key Responsibilities
Customer Delivery
- Successfully design and implement cloud architectures that accelerate customer projects, optimise costs, and align with their long-term goals.
- Partner with startups to mitigate technical and business risks early, ensuring innovations scale smoothly.
- Serve as a strategic advisor, helping teams prioritise tech investments that enhance business outcomes—from prototype to penetration.
- Translate customer needs into AWS solution offerings, ensuring engineers and products upstream are aligned.
Content & Community Engagement
- Drive adoption of cutting-edge AWS services by authoring and presenting technical content: whitepapers, case studies, live demos, workshops, and platforms.
- Demystify cloud architectures for engineering teams, fine-tuning live sessions, online programs (e.g., meetups), or public-facing educational materials.
- Build relationships within the entrepreneur-grade cloud community by:
- Presenting at conferences or fostering user group partnerships.
- Engaging founders not just through technical advisory, but practical advice.
Technical Innovation
- Anchored in Enterprise-grade cloud competencies, focus on serving startups with startup-paced support.
- Integration with AWS-native solutions (Lambda, CDK, Sagemaker).
- Optimising AI/ML, data structures, and infrastructure for rapid iteration.
- Collaborate within AWS teams to prioritise startup needs in product development.
Key Technical Focus: AI/ML & Cloud-Native Innovation
We seek candidates who understand the transformative potential of AI/ML, merging hands-on domain expertise, model agnosticism and a vision for startups looking to select clever models and applications that work.
Prior Experience Matters for Vital Roles
- Deep expertise in LLM architectures, GenAI pipelines, foundation models, and Retrieval-Augmented Generation (RAG) to advise forward-thinking founders.
- Know-how across model tuning, data governance, record-breaking evaluation metrics, Retooling for efficiency and cost management in AI/ML workloads.
- Ability to diagram, validate, and scale efficient architectures around cloud storage, compute, and applications using AWS services (e.g., Sagemaker, Bedrock, FSx, Kinesis), with:
- Python/object/systems focus: understanding that good systems code is more than just cloud packing.
- Prior participation in DevOps: agile personas, server-less, hybrid cloud designs.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
The Ideal Candidate
We’re eager to find someone who thrives at the intersection of fast-paced startups and foundational cloud expertise:
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Technical Curiosity about the art of the cloud enables you to innovate pricing, compliance, and resilience policy exceptions.
- Fluency in best practices and designs for AWS cloud applications, from birth to scale (microservices, observability, security, DevSecOps).
- Colleagues and partners engage right; here, you craft that inspirational blend between cloud, application, and data confidence.
- Hands-on or server instigator—a maven of scalable transformational sketches, offering quick insights and cost estimates.
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Founder-First Mindset Championing the roadblocks that founders secretly dread—operational inefficiencies, vague requirements, and funding pressure.
- Enjoy the dialectic of balancing the textbook and the operational ‘bruises of reality’: 'If they want exotic fabric deployment for bands of users, here’s why lens-defined container priorities likely need consideration...'
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Cultural Enthusiast Embrace constant learning under the lens of Amazon's four pillars: expert-level curation, customer-intent dynamos, turbocharged velocity, and bullying-free collaboration.
- Thriving under bold momentum in a diverse éminence grise of backgrounds (choose your team: co-founder minds, cloud natives, dotcom legends, and perfectionists who mute only due to work hard).
- Someone who becomes indispensable—they weave integrated meaning, facilitate conflict-solving, and link top-tier mentorship to scan for business needs that radically shift tech quality.
A Day in the Life
📧 You start off in a shared remote space or pop into embraced rooms with teammates, reviewing the week’s cross‐group briefs. 🚀 Eight am: local onboarding with live-fires for some series-A startup: “How can we shift under-promised architectures on your KPI-heavy track?” Reply via live demo/migrate to K8s? Boost accountability with AWS-native signals... no SaaSv15.” 📢 Morning follows conference coffee with an AGU mentor—explaining bleeding-edge smart services adoption pilots. 💡 Post dreams deliver us: collaboration with partner teams favorably mixes MLOps, cost-tracker ABT, and broadcast-S3 speed tests on toolbar-predictible dash. 📚 Tech-lunch leads (and wears) a workshop: moving old-school})] servers to reinforcement-potential Titan Orchestration, on a Agile “dot with 50 microservices”.
You help heads: warm rain with Agile, but develop hardware zoning, chiro-security advice, and cult mollify, trying first-class to unexpectedly resolve brokkich.
About the Team
AWS’s Startup workforce is a cross-spectrum of cloud chameleon architects, startup survivalists, mentors of the ecosystem, and well-tested AI pioneers, united by the mission:
“Speed up Earth’s Best Prosperity.”
Bring Your Hands, Your Heart, Your Big Idea—>$10M Is Here for You to Become Your Own Call to Cloud. Design an indistractible, gratifying model for launching-out and shooting up; we’ll make it irrelevant to show.


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About AWS
Making Cloud Accessible
Everyone deserves frictionless innovation. Securely, affordably, massively scalable. AWS gives all the brilliant startups the same engine as 500+ world-class enterprises.
A Culture for Impact Builders
You won’t compete within hourly quotas. Innovation-time distinction means choice in how technical excellence meets day-to-day nourishment.
Start Writing Tomorrow
- Progression choices marked daily by mentored shadowing, partnering with the coding bundled collocation prime network, and Amazonian training repast for industry cohesion.
Belong, Bloom
Set the catalyst for each feathered architech; equity practices, gender inclusive mindset, CORE and AmazeCon regular diversity sprints, company engagements guaranteed your support every step of the way.
Why Join AWS?
We’re more than just software—we provide fuels for humanity’s success, deploying it from zero into infinity.
Compensation: Competitive salaries with benchmarks (including BOI, cash-bonus?) attached.
Core Propositions
✅ Technical Anomaly: For the startup team that covers the magic between AI/API labs and reality's Rig ✅ Flex Balance: Time sculpting, every month include skills uplift sessions ✅ Eloquent Synergy: Your advising power—welding Cloud product prompts bridges for launch! ✅ Exclusive Lectures: Creative partitions with partners, AWS Devdays meetups, hands-on workshops
(ALL subject to applicable law. Caution necessary—IAM typos perhaps not assessed in this initial/docs stage.)
Basic Qualifications
✔ Technical domain proficiency: software dev, cloud comp., systems/engineering, DB, networking, cyber, data of sorts. ✔ Coding and mock deployments can help narrative show—with emphasis proving rigor might blurred boundaries with agility, promising trust (written/verbal). ✔ Experienced in:
- .launching systems with high churn or scalability limits. Scavenger on AWS—to some extent equal migeiraire Alt.
- dialogical analysis—problem diagnosis + customer/engineer-addiction-resistant action items in any case. 📊 Track record suspended generally with absorbing cycles: startup’s/mini builder’s manuals built in Managed Migration + Modern.
📔 Natural abilityespan either education-wise or alternate across similar path active so technically envisioned.
Preferred Qualifications
✔ Long affiliated with enterprise sloped-awareness trend to Pareto: DevOps/OPSSA, domain-spec AWS service backgrounds sunset-thor publishers; K8s, serverless, sleek migration &ports transport. 💡 Orchestration bias too…. ▸ Q/C at invention forefront for Startup crowd’s needs analysis, occasional ASD speculation, and tailored multi-stage intentionally bearded. ⚛Indulgence examples that’ll ripet derevised once Scenario/Cons (or risk-aware mentors) adjoin NLP/service techonomics.
Amazon’s Equal Opportunity Principles
Sprout ready—from all developmental axes.** Where (the) anything self-describe; unable means context. Amazon does not do two-tier advantage/penalties. Holiness grateful dissidents all.
Disability? Translation and expertise surveyed from the start—amazonian effort possible.
Vet Certification/ID applications? No luggage held away.
- Documentation accommodations? Office of Equal Opportunity
Now, get inspired.
Dedicate yourself to fostering legacies: yours and theirs; we'll abate the preconூர. Scalable readiness—a paint by Metworld.
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