Capabilities

Deep expertise across the full infrastructure stack

We don't specialize in one layer — we engineer the entire vertical from network and compute through deployment automation, observability, and operational runbooks.

01 — Cloud

Multi-cloud architecture & landing zones

Designing resilient, cost-aware infrastructure across AWS, GCP, Azure, and hybrid on-premises environments.

  • Cross-account and multi-environment isolation with IAM, VPC segmentation, and service control policies
  • AWS-to-GCP and cross-provider migrations with zero-downtime cutover strategies
  • Serverless and event-driven architectures — Lambda, API Gateway, SQS/SNS, CloudFront, ECS Fargate
  • Infrastructure as Code with Terraform, AWS CDK, CloudFormation, and Ansible at enterprise scale
  • Cost optimization through rightsizing, reserved capacity analysis, and workload placement across regions
  • Disaster recovery design with encrypted snapshots, leader election, and multi-region failover

02 — Kubernetes

Container platforms at production scale

From first cluster to multi-region federation — we run Kubernetes where it matters most.

  • GKE, EKS, AKS, and OpenShift operations including upgrades, node pool management, and autoscaling (HPA/VPA/KEDA)
  • Multi-cluster architectures with GKE Gateway API, service mesh (Istio/Linkerd), and ingress standardization
  • GitOps delivery with Kustomize, Helm, and ArgoCD — feature-branch and tag-driven isolated environments
  • On-premises Kubernetes on bare metal and virtualized infrastructure for regulated industries
  • Container security: image scanning, pod security standards, network policies, and runtime hardening
  • Legacy monolith decomposition and containerization — Elastic Beanstalk to ECS/Kubernetes migrations

03 — CI/CD & IDP

Developer experience that accelerates delivery

Internal developer platforms and pipeline engineering that turn deployment from a bottleneck into a competitive advantage.

  • Self-service developer platforms with environment provisioning, ABAC authorization, and audit trails
  • OIDC-secured CI/CD across GitHub Actions, Jenkins, Bitbucket Pipelines, and Azure DevOps
  • Temporal workflow orchestration for long-running infrastructure operations and agent-based automation
  • Deployment cycle reduction from hours to minutes through fully automated, gated release pipelines
  • Feature-based and preview environment strategies for safe parallel development across large teams
  • Platform API design in Go and Python for infrastructure abstraction and GitOps integration

04 — Security

Compliance-ready infrastructure

Security embedded in architecture — not bolted on after the fact.

  • PCI-conscious logging and data handling for payment processing platforms
  • IAM least-privilege design, ABAC policy engines, and secrets management
  • AWS WAF, VPC isolation, and zero-trust network patterns for financial workloads
  • Audit-ready infrastructure with immutable deployment logs and change tracking
  • Server-authoritative transaction models preventing client-side manipulation in fintech systems
  • Encrypted backups, key rotation, and compliance-aware data retention policies

05 — Observability & SRE

Operational excellence at scale

When millions depend on your platform, observability isn't optional — it's the product.

  • Unified telemetry: Grafana, Graylog, SigNoz, DataDog, CloudWatch, and Filebeat → Kafka pipelines
  • SLO/SLI definition, error budget policies, and alerting that reduces noise without missing incidents
  • Incident response playbooks, post-mortem culture, and on-call rotation design
  • Data platform operations: Kafka, Druid, RabbitMQ, MongoDB, Redis Cluster, ScyllaDB, ClickHouse, Elasticsearch
  • Apache NiFi cluster automation with EC2 ASG, Lambda, and Ansible-based lifecycle management
  • Capacity planning and performance profiling under sustained high-throughput production loads

06 — AI & Performance

AI infrastructure & ultra-low-latency systems

From GPU inference clusters to kernel-level tuning — we operate at the edge of what's technically possible.

  • Self-hosted LLM operations: Ollama, Dify workflow platforms, n8n automation, and GPU server management
  • Vector and graph database platforms for AI-powered search and recommendation (Milvus, NebulaGraph)
  • High-frequency trading infrastructure: custom OS images, network bypass, and kernel-level latency optimization
  • OCR and ML model deployment on dedicated GPU hardware with production monitoring
  • Real-time market data pipelines and server-authoritative financial transaction engines in Go
  • AI-augmented engineering workflows and intelligent automation for platform operations

Need a capability we haven't listed?

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