Industry
DevOps for Fintech
Fintech infrastructure has to be fast, available, and auditable, simultaneously. We build AWS and Azure environments that support PCI-DSS and SOC 2 requirements without sacrificing deployment velocity.
What fintech requires that generic DevOps does not
PCI-DSS compliance
Payment data must be isolated in a dedicated cardholder data environment (CDE) with network segmentation, encryption at rest and in transit, and regular vulnerability scanning (external scans by an Approved Scanning Vendor as well as internal scans). We design VPC layouts with separate subnets, security groups, and AWS Network Firewall or Azure Firewall rules that help meet PCI-DSS network segmentation requirements.
SOC 2 Type II readiness
SOC 2 auditors look at change management, access control, monitoring, and incident response. We implement the technical controls: immutable audit logs in S3/Azure Storage with CloudTrail, IAM reviews, automated patch management via SSM, and SIEM alerting, giving your compliance team evidence to share with your auditor. Attestation is issued by an independent auditor; we do not certify.
High availability for payment flows
Payment timeouts cost revenue. We architect multi-AZ deployments, configure aggressive health checks (readinessProbe + livenessProbe), implement circuit breakers with Resilience4j or Envoy, and load-test payment flows against expected peak traffic before major releases.
Fraud prevention infrastructure
Real-time fraud scoring requires low-latency event streaming (Kafka or AWS Kinesis), feature stores (Redis or DynamoDB), and low-latency model inference. We can design the data pipeline and compute layer for ML-based fraud models.
Secrets and key management
PCI-DSS sets strict requirements for cryptographic key management, and HSM-backed services are a common way to meet them. We can implement AWS CloudHSM or AWS KMS (which is backed by HSMs), or Azure Key Vault Managed HSM, and set up key rotation that is automated and audited.
Why is cloud and DevOps work different for fintech?
Fintech platforms move money or handle data that describes it, so a platform fault is rarely just an outage. It can mean a duplicated payment, a missing ledger entry or an audit question nobody can answer. Cloud and DevOps work for fintech therefore has to treat correctness, traceability and recovery as first-class requirements alongside speed.
Most fintech teams also work under several overlapping expectations at once: card scheme rules, payment service regulations, data protection law, and the security questionnaires of banks and partners. These rarely arrive as a single checklist. They arrive as a stream of questions about where data lives, who can touch it and how you prove it.
Our approach is to build the platform so those questions can be answered from the system itself: infrastructure defined in code, changes recorded in version control, access granted through central identity, and logs kept somewhere engineers cannot quietly edit. That is engineering work, and it is the part of compliance we can genuinely own.
What platform pain points do fintech teams usually hit?
The same patterns appear repeatedly. Production access has grown informally and nobody can say who can reach what. Environments were built by hand, so staging does not behave like production. Releases are slow because every change needs manual sign-off, yet the sign-off itself leaves no reliable record.
Payment flows add their own difficulty. They depend on third-party processors and banks that time out, retry and occasionally behave unexpectedly. Without idempotent handling and sensible timeouts, a retry storm or a partial failure can create the very inconsistencies that finance and support teams then spend days reconciling.
- Flat networks where a compromised service can reach databases holding sensitive data
- Long-lived credentials in pipelines, config files or developer laptops
- Audit logs that exist but are scattered, mutable or retained inconsistently
- Untested backups and disaster recovery plans that live only in documents
- Alerting that wakes people for noise but misses failed payments or stuck queues
Which architecture and delivery patterns suit regulated payment platforms?
Segmentation is the starting point. Workloads that touch sensitive payment data are placed in their own accounts or subscriptions, behind their own network boundaries, with narrow and explicit paths in and out. Keeping that scope small is usually the single most useful design decision, because every system inside the boundary carries extra control and evidence work.
For delivery, we favour infrastructure as code with Terraform, pull request review for every change, and pipelines that build, scan and promote the same artefact through each environment. GitOps tooling such as Argo CD or Flux can then make the cluster state match what was approved in Git, which gives a clean answer to the question of who changed what and when.
Release safety matters as much as speed. Progressive delivery, feature flags and fast rollback let teams ship small changes often, which is generally safer than rare large releases. Approval gates can be automated for low-risk changes and kept manual for the changes that genuinely need a human decision.
| Concern | Typical technical pattern |
|---|---|
| Limiting sensitive data scope | Separate accounts or subscriptions, private subnets, restrictive security groups and network policies |
| Repeatable environments | Terraform modules with reviewed pull requests and remote state |
| Safe releases | Single artefact promoted across environments, canary or blue-green rollout, automated rollback |
| Payment resilience | Idempotency keys, bounded retries, timeouts, circuit breakers, queues with dead-letter handling |
| Recovery | Cross-account backups, restore testing, documented recovery objectives |
What security and reliability controls do we implement?
On the security side, we implement least-privilege identity with single sign-on and short-lived credentials, encryption at rest and in transit using managed key services, secrets held in a proper secrets manager rather than in code, and image and infrastructure scanning in the pipeline. Centralised, tamper-resistant logging captures administrative activity, and alerts route to people who can act on them.
On the reliability side, we define service level objectives for the journeys that matter, such as authorising a payment or posting a transaction, and alert on those rather than on raw CPU graphs. Multi-zone deployment, tested failover for databases, and rehearsed incident response mean the team knows what to do before the first real incident.
Where a fraud or risk engine sits in the platform, we help with the surrounding plumbing: event streaming, low-latency data stores and capacity planning. The models and rules themselves remain your domain.
How does regulation shape the technical design?
Regulation shapes design by deciding what you must be able to show. Card industry rules push towards network segmentation, strong access control and key management. Assurance frameworks such as SOC 2 and ISO 27001 look for evidence of change management, access reviews, monitoring and incident handling. Operational resilience rules in some jurisdictions add expectations around third-party risk, testing and recovery.
We implement the technical controls that support these expectations. We do not issue certification or attestation, and we do not guarantee that any environment will pass an assessment: that judgement belongs to an independent auditor or qualified assessor. Nor do we give legal advice, so scoping decisions and interpretation of the rules should involve your compliance lead or counsel.
What we can do is make the engineering side straightforward to evidence. Our compliance pages describe how the controls map to common frameworks, and we align our work to the scope your assessor agrees.
How would we run a fintech engagement?
We usually start with an assessment of the current estate: accounts, networks, pipelines, access and recovery. The output is a prioritised plan agreed with your engineering and compliance leads before any build work starts.
Delivery follows a fixed scope written down in advance, led by a named senior engineer. Everything we build lives in your cloud accounts and your repositories, so you hold the code, the state and the documentation from day one and are not dependent on us to keep it running.
After the build, some teams take it over with a handover and runbooks, and others keep us on a managed plan for monitoring, on-call and ongoing improvement. Either way, the aim is a platform your own team understands and can defend in front of an auditor.
Frequently asked questions
Can you make us PCI DSS or SOC 2 compliant?
Do you work inside our cloud accounts?
Do you help reduce the scope of sensitive payment data?
Can you support Azure as well as AWS for a fintech platform?
Can you take over on-call for our payment services?
Building a fintech platform?
We can help plan and implement PCI-DSS scoped environments on AWS and Azure. Book a free call to discuss your architecture and compliance requirements.