Senior practitioners
Engagements are staffed with engineers who have delivered comparable systems before, not with generic resources.
Vol. 01 / Engineering
Software, infrastructure and data systems engineered for the long term.
Retro Betty Ltd is an independent engineering practice. We design and build the systems that other companies depend on — the platforms that clear payments, the applications that clinicians rely on, the data pipelines behind operational decisions.
- Practice
- Applied engineering
- Domain
- Software · Cloud · Data
- Method
- Iterative delivery
- Language
- English
§ 01 Introduction
A working practice, not a marketing department.
We are engineers first. Our clients hire us because their systems matter — they carry regulated data, they process transactions, they underpin services that people rely on every day. That responsibility shapes how we work: carefully, transparently, and with a preference for boring, well-understood technology when it is the right answer.
Our work covers the full engineering surface — product discovery, architecture, implementation, deployment and long-term stewardship. We do not sub-contract delivery. The people who scope your work are the people who ship it.
§ 02 Core expertise
Six disciplines. One coherent engineering team.
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Distributed systems
Reliable back-ends, message-driven architectures, and service platforms designed to fail gracefully.
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Applied cloud
AWS, Azure and Google Cloud, provisioned as code, observable by default.
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Data engineering
Pipelines, warehouses and analytical models that make organisational data usable.
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Security & compliance
Threat modelling, secure SDLC, and controls mapped to ISO 27001 and SOC 2 practice.
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Product engineering
Web and mobile applications delivered as long-lived products, not one-off builds.
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Platform & DevEx
Internal platforms that let client engineering teams ship faster and more safely.
§ 03 Services overview
The work, categorised.
Our engagements fall into a small number of well-defined shapes. Each carries its own delivery model, artefacts and pricing structure.
- Custom software
- Bespoke applications built to a defined specification, from discovery through hand-over.
- Cloud engineering
- Landing zones, migrations, and platform build-outs on the major hyperscalers.
- Data & analytics
- Warehouses, event pipelines and analytical models that consolidate scattered systems.
- Security engineering
- Application security reviews, hardening programmes, and incident response support.
- Systems integration
- Connecting operational systems — ERPs, CRMs, industry platforms — through resilient interfaces.
- Managed maintenance
- Long-term custody of applications and platforms, with defined SLAs.
§ 04 Technology capabilities
The stack we work with, honestly listed.
We are not tied to a single ecosystem. The tools below reflect the languages, runtimes and platforms our teams operate in production today. Choices are made per engagement, based on the problem.
Languages
- TypeScript
- Python
- Go
- Rust
- Java / Kotlin
- C#
Runtimes & frameworks
- Node.js
- React
- Django / FastAPI
- .NET
- Spring
- SvelteKit
Infrastructure
- AWS
- Azure
- Google Cloud
- Kubernetes
- Terraform
- Nomad
Data & AI
- PostgreSQL
- ClickHouse
- Snowflake
- dbt
- Kafka
- PyTorch
§ 05 Delivery process
A predictable rhythm from first conversation to production.
- Phase 01
Discovery
We map the problem, the constraints, and the acceptance criteria before proposing an approach. This phase produces a written brief agreed on both sides.
- Phase 02
Architecture
A working reference architecture, security model, and delivery plan. Small enough to change; complete enough to build against.
- Phase 03
Iterative build
Two-week cycles, working software at every review, and a shared backlog. No surprises at the end.
- Phase 04
Hardening
Load, security and resilience testing before release. Runbooks and observability are treated as deliverables.
- Phase 05
Release
Controlled deployment with rollback in place. The team is on hand through the first operational period.
- Phase 06
Stewardship
Optional long-term custody of the system, with defined response times and quarterly reviews.
§ 06 Industries served
Where our work runs.
We concentrate on sectors where technology decisions carry real consequences — regulatory, operational or human — and where engineering discipline pays back over time.
- Financial services
- Healthcare technology
- Logistics & mobility
- Industrial systems
- Professional services
- Public sector & civic
- Education & research
- Media & publishing
§ 07 Why clients work with us
Six commitments, kept in writing.
Continuity of team
The people who begin your project stay with it. Rotation happens only with your written agreement.
Written specifications
Every phase produces a document that could be handed to another team without loss of context.
No hidden dependencies
We favour open standards and mainstream technology. Our clients are never trapped in our tooling.
Honest estimates
We publish ranges, our confidence in them, and update them as reality changes.
Working software first
Reviews use running systems, not slide decks. If it does not work, we say so.
§ 08 Security & quality
Security is not a feature. It is how the system is put together.
We build under a written secure development lifecycle. Threat models are produced before implementation. Dependencies are pinned and scanned continuously. Secrets never live in source. Access to client environments is temporary, auditable and least-privileged.
Practice areas
- Threat modelling
- Secure code review
- Cryptographic design
- Identity & access
Aligned to
- ISO/IEC 27001
- SOC 2 (Type II) practice
- OWASP ASVS
- NIST 800-53 controls
§ 09 Infrastructure & cloud
Infrastructure that is boring on purpose.
Our default is infrastructure-as-code, immutable images, blue/green deploys, and observability from day one. We treat the platform as a product with its own users — the engineers who build on it. Downtime is a design choice, not an accident.
- Multi-region architectures
- Disaster-recovery planning
- Zero-downtime migrations
- Cost engineering & FinOps
- Kubernetes operations
- Edge and CDN strategy
§ 10 Data, analytics & AI
We help clients build the boring layer under interesting analytics: reliable ingestion, versioned transformations, tested data models, and warehouses that non-engineers can query with confidence.
Applied AI work is treated with the same discipline: problem definition first, evaluation harness second, model third. We are comfortable saying when a machine-learning system is the wrong tool.
§ 11 Delivery principles
How we behave inside your organisation.
- P.01Write things down. Decisions live in documents, not in Slack threads.
- P.02Prefer smaller, reversible changes. Ship the increment that is safe to ship.
- P.03Treat production as sacred. Every change is observable and reversible.
- P.04Respect the client's process. We adapt to your rituals, not the other way round.
- P.05Say no when it matters. A refused feature is sometimes the most valuable delivery.
- P.06Leave a clean handover. Every engagement ends with a system another team could operate.
§ 12 The team
Small, senior, deliberately.
Retro Betty Ltd is a compact practice by design. Our engineers have delivered mission-critical systems in banking, healthcare, logistics and public infrastructure. We hire slowly and stay small on purpose: it lets us keep quality visible.
Every engagement is led by an engineer accountable end to end, from the first proposal to the operational review after release.
§ 13 Frequently asked
Questions we are asked, honestly answered.
- Q.01Which engagement models do you offer?
- We work on fixed-scope projects, embedded engineering teams, and long-running platform partnerships. Every engagement begins with a discovery phase that establishes objectives, constraints and acceptance criteria before any code is written.
- Q.02Do you work with existing internal teams?
- Yes. A large share of our work augments in-house engineering groups. We integrate with the client's tooling, source control, review process and delivery cadence rather than imposing a parallel workflow.
- Q.03How do you handle intellectual property and source code?
- All source code, designs, documentation and derivative artefacts produced under a client engagement are the property of the client on delivery, subject to the licences of any open-source components used.
- Q.04Which industries do you typically serve?
- Our practice concentrates on regulated and operationally critical sectors: financial services, healthcare technology, logistics, industrial systems, professional services and public-interest organisations.
- Q.05How do you approach data protection?
- We follow a least-privilege, defence-in-depth model. Personal data is minimised at the schema level, encrypted in transit and at rest, and access is auditable end to end.
§ 14 Contact
For briefs, proposals and technical enquiries.
Written enquiries reach the senior engineering team directly. We reply to every legitimate message, usually within two working days. There is no marketing funnel behind this address.
- Company
- RETRO BETTY LTD
- Correspondence
- heathermitchell119@gmail.com
- Web
- retrobettyshop.com
Colophon
Retro Betty Ltd is an independent engineering practice. We build software, cloud platforms and data systems for organisations that need their technology to work today and continue working ten years from now. Everything on this site describes work we do ourselves, under our own name, with our own people.
