Platform Engineering Services

Give Developers a Simpler Way to Work With Infrastructure

Create internal developer platforms, self-service workflows and clear engineering paths that reduce repeated setup and give teams a consistent way to provision environments, deploy services and access shared tooling.

See where developer friction starts

Start with the setup

Where Do Engineers Lose Time?

Pick the situation closest to yours. We’ll show what we would build for it and where that sits in the platform capabilities below.

Pick where the setup slows people down

Where it slows down

Every Team Has Built Its Own Way

Each team has its own tooling, its own runbook and its own idea of where things live, so a developer moving between them starts again.

What we would build
What you could end up with
  • One place developers go for approved infrastructure, environments and services
  • A developer portal that shows what exists and who owns it
  • Shared engineering services built once instead of once per team
What it works with
  • The stacks your teams already build in
  • The decisions you want made centrally, and the ones you do not
  • Whoever will own the platform once it exists
Where it slows down

Everything Needs a Ticket First

A test environment, a database, a namespace — each one is a request to another team, and the wait is longer than the work being waited for.

What we would build
What you could end up with
  • Environments developers can provision themselves, inside the guardrails
  • Templates that make the approved shape the default shape
  • Access controls that make self-service safe rather than blocked
What it works with
  • The requests your platform or ops team fields most often
  • What genuinely has to stay behind an approval
  • The environments teams already recreate by hand
Where it slows down

Starting a New Service Takes a Week

Scaffolding, pipelines, monitoring and access are assembled from scratch each time, slightly differently, and the differences surface months later.

What we would build
What you could end up with
  • A golden path where the standard way to build a service is also the easy way
  • Service templates that arrive with pipeline, monitoring and access attached
  • Engineering standards expressed as automation rather than as a document
What it works with
  • How a new service gets created today
  • The standards you already have, written down or not
  • The setup work that gets repeated most
Where it slows down

Every Team Runs Its Own Kubernetes

Clusters, dashboards and alerting are configured team by team, so how reliable a service is depends on which team you ask and nobody sees the whole picture.

What we would build
What you could end up with
  • A shared runtime application teams inherit instead of configuring
  • Observability every service gets by default rather than by project
  • SRE practices that make reliability a property of the platform
What it works with
  • The clusters and monitoring already running
  • What each team currently has to operate for itself
  • The reliability you are actually held to

Not sure where to start? Talk to our platform team

What we build

Platform Engineering Capabilities

A useful platform should make common engineering work easier without becoming another layer teams have to manage.

01

Internal Developer Platforms

Bring developer portals, platform architecture, and shared engineering services into one place.

Internal Developer PlatformsDeveloper PortalsPlatform ArchitectureShared Engineering Services

02

Self-Service Infrastructure

Let teams provision environments and common resources without relying on repeated manual requests.

Self-Service InfrastructureEnvironment ProvisioningInfrastructure TemplatesAccess Controls

03

Golden Paths & Platform Automation

Create reusable engineering paths and automate common setup and delivery tasks.

Golden PathsPlatform AutomationService TemplatesEngineering Standards

04

Kubernetes & Observability Platforms

Provide shared runtime, monitoring, and reliability foundations for application teams.

Kubernetes PlatformsObservability PlatformsDeveloper ExperienceSRE Practices

Industry context

Platform Engineering Across Industries

Platform needs are shaped by how engineering teams operate, the controls they work under and the scale they support.

01 / 09

FinTech

01Developer Portals
02Controlled Environments
03Golden Paths
04Observability
05Platform Governance

Our work

Platform Engineering in practice.

Engagements where this is what we actually built. 5 of them are written up in full.

The transaction monitoring dashboard on a laptop against a lilac backdrop, showing an alert queue with risk scores.FinTech

Transaction Intelligence & Behavioral Analytics

A scalable and configurable transaction monitoring solution engineered to detect suspicious activity in real time using rule engines, behavioral profiling, and hybrid risk logic, enabling financial institutions to strengthen AML compliance while optimizing operational efficiency.

45%Faster suspicious activity detection35%Improvement in monitoring workflow efficiency
The SWIFT data orchestration console on a laptop, showing a validated message table with status columns.FinTech

SWIFT Data Orchestration & Automation

A centralised data automation platform engineered to replace high-risk manual spreadsheet processes with secure ingestion, task-based validation, and SWIFT-compliant standardisation workflows, ensuring data integrity, operational scalability, and audit-ready transparency for insurance operations.

60%Reduction in manual spreadsheet50%Faster data validation
The real-time payment screening console on a laptop against a green backdrop, showing a live transaction queue.FinTech

Real-Time Payment Screening for AML & Sanctions

A high-performance, real-time payment screening solution engineered to validate every transaction against global regulatory requirements, sanctions lists, and risk indicators, delivering ultra-low latency, automated decisioning, and operational transparency for compliance teams.

50%Faster transaction screening40%Faster sanctions validation
The watchlist governance console on a tablet, showing a consolidated list view with status columns.FinTech

Watchlist Governance & Compliance Intelligence Solution

Unified data governance and watchlist orchestration solution that consolidates, cleanses, and enriches regulatory, commercial, and internal lists, empowering compliance teams with real-time updates, audit-ready transparency, and exceptionally accurate screening data for enterprise AML operations.

50%Faster watchlist updates40%Reduction in duplicate or inconsistent list data
The AI-powered AML screening platform on a tablet, showing a screening queue with match statuses and risk flags.FinTech

AI-Powered AML Screening Platform: Modernising Financial Crime Compliance

Consolidated AML screening, automation, and case management into a single AI-powered platform, enabling faster onboarding, reduced false positives, and real-time compliance visibility for financial institutions.

70%Faster information retrieval60%Reduction in manual knowledge discovery effort

How we work

How an Internal Developer Platform Is Built

We start from the work engineers repeat rather than from a platform product, and add only the pieces that remove a real step — a platform nobody asked for is another thing to operate.

01

Watch the Repeated Work

Follow what engineers actually do to get an environment, ship a service or find an owner: the tickets raised, the waiting, and the setup each team has rebuilt for itself.

Focus
RequestsWaitingDuplicationOwners
02

Shape the Path

Agree the standard way to provision, deploy and observe a service, and decide what the platform owns and what stays with the teams, before anything is built.

Focus
StandardsBoundariesOwnershipScope
03

Build the Platform

Deliver the portal, the templates and self-service provisioning behind real access controls, so the approved shape is also the quickest one to reach.

Focus
PortalTemplatesProvisioningAccess
04

Earn Adoption

Move one team onto the path first, measure what it saved them, and extend it only where it holds — a platform is working when teams choose it, not when it ships.

Focus
PilotFeedbackRolloutMeasurement
Observe01 Watch the Repeated WorkShape02 Shape the PathBuild03 Build the PlatformAdopt04 Earn Adoption

Insights

Thinking Behind the Platform.

Field notes on platform engineering, developer experience and the architecture decisions that set how much of the setup every team has to repeat.

Platform engineering blueprint for scalable enterprise software in 2026
Cloud & Platform Engineering

From DevOps to Platform Engineering: The 2026 Blueprint for Enterprise Software Scalability

· Akash Thakor · 4 min read

Feature image showing composable SaaS connected to personalization, flexibility, and control for B2B platforms
Software Engineering

Composable SaaS Architecture: The New Foundation for Hyper-Personalized B2B Platforms

· Akash Thakor · 7 min read

SaaS Microservices Architecture for secure fintech and regtech platform development
Software Engineering

Beyond Multi -Tenancy: Best Practices for SaaS Microservices Architecture in RegTech & FinTech

· Akash Thakor · 7 min read

All Cloud & Platform Engineering writing

FAQ

Frequently Asked Questions About Platform Engineering

Straight answers on what an internal developer platform actually is, how platform engineering differs from DevOps, when a team is big enough to need one, and whether Kubernetes is required at all.

01What do Platform Engineering Services include?

Platform Engineering Services can include internal developer platforms, developer portals, self-service infrastructure, golden paths, Kubernetes platforms, environment provisioning, observability and shared engineering services. The exact scope depends on how development teams currently access infrastructure, deploy applications and manage common engineering tasks.

02What is an Internal Developer Platform?

An Internal Developer Platform gives engineering teams a shared place to access approved infrastructure, environments, tooling and services. It reduces the need to navigate multiple systems or rely on repeated manual requests, while keeping common engineering actions controlled and consistent.

03How is Platform Engineering different from DevOps?

DevOps focuses on improving collaboration, automation and software delivery practices across development and operations. Platform Engineering creates shared tools, services and self-service capabilities that make those practices easier for development teams to use consistently. In practice the two work together: the platform is where a delivery practice becomes the default rather than a convention.

04When does a team need a Platform Engineering team?

Platform Engineering becomes useful when developers spend too much time setting up environments, waiting for infrastructure, repeating the same configuration work or navigating different tools and processes across teams. The signal is repetition: if every team is solving the same setup problem separately, a shared path will pay for itself before a platform team does.

05Do we need Kubernetes to adopt Platform Engineering?

No. Kubernetes can be part of a platform, but it is not a requirement. The platform should use the infrastructure and runtime approach that fits the applications, team structure and operational needs rather than adding Kubernetes by default. A platform that adds a runtime nobody asked for is the extra layer this work exists to remove.

Bring More Consistency to Engineering at Scale

We can help shape the platform, shared services and standards that support your teams as they grow.

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