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Technology

The stack is the easy part.

We are hired for engineering judgment, not tool familiarity. Every capability listed here is already running in production — not a slide-deck stack.


Models, retrieval, and evaluation

We orchestrate LLMs, RAG pipelines, and lakehouse analytics so answers are grounded, observable, and governable for compliance reviewers. Evaluation harnesses ship with every engagement.

Data & AI
DatabricksSnowflakeSparkAirflowBigQueryLlamaOpenAIAnthropicLangChainHugging Facedbt

SIEM, XDR, and detection engineering

Detection rules, enrichment pipelines, and evidence trails designed before the build — not retrofitted at audit season. Every automated action has an immutable log and a rollback path.

DevSecOps & Security
GitLab CIGitHub ActionsSonarQubeTrivyOWASP ZAPOPA / GatekeeperVaultOAuth2 / OIDC

OpenSearch, lakehouse, and streaming

OpenSearch-scale catalogue platforms, Medallion data lakes with Bronze/Silver/Gold governance, and real-time streaming pipelines that finance, product, and investigators trust when numbers diverge.

Reporting & Monitoring
ElasticsearchLogstashKibanaOpenSearchGrafanaPrometheusPower BILooker Studio
Database & Queues
PostgreSQLMySQLMongoDBCassandraDynamoDBRedisKafkaRabbitMQAmazon SQSNeo4j

Cloud, Kubernetes, and DevSecOps

Multi-cloud IaC, hardened Kubernetes patterns, SAST/DAST wired into CI so vulnerabilities surface in PRs — not breach notifications. Environments reproducible, auditable, and portable.

Cloud Infrastructure
AWSGCPAzureKubernetesTerraformHelmIstio
DevSecOps & Security
GitLab CIGitHub ActionsSonarQubeTrivyOWASP ZAPOPA / GatekeeperVaultOAuth2 / OIDC

APIs, web, and mobile

We build APIs, web, and mobile surfaces with CI/CD, observability, and security gates so teams ship weekly without fearing Friday deploys.

PythonFastAPIDjangoJava Spring BootNode.jsGraphQLReactTypeScriptReact NativeAngular

Technology decisions — how we think

Do you mandate a single cloud vendor?

No. We deploy on AWS, GCP, and Azure where required, with Kubernetes, Terraform, and portable service boundaries so you are not locked into patterns that only work in one vendor's happy path.

How do you pick LLM and RAG components?

We choose based on latency, cost, evaluation quality, and governance - not headline model names. Retrieval, tracing, and offline eval harnesses are part of production design, not afterthoughts.

What about legacy systems and mainframes?

We integrate through APIs, events, and controlled batch interfaces, prioritising stable contracts and observability so modern surfaces do not amplify fragility in older tiers.

Where does security enter the lifecycle?

From day one: supply-chain scanning, policy-as-code, secrets management, and least-privilege networking are baseline. DevSecOps tooling in the tabs reflects how we run pipelines - not a separate 'security phase' at the end.

Read the methodology behind the stack.

Stack choices follow outcomes — not the other way around. Five repeatable phases. Same engineers throughout.

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