Technologies

Data, cloud, and AI, built for production.

A senior engineering team that designs, ships, and hands over infrastructure you own outright.

Snowflake
Apache Kafka
Kubernetes
Databricks
PostgreSQL
Terraform
React
Grafana

Production systems, not slideware

Every engagement ends with a control plane your team actually operates: observable, tested, and entirely yours. This is the shape of what we hand over.

Sebko Platform/Overview
LiveS
Events / min
184k+6%
Uptime
99.98%30d
p99 latency
38ms-6ms
Cost MTD
$8.4k-12%
Throughput · 24h nominal
Infrastructure as codeTested and documentedObservability includedSee real builds

Senior engineers only

Everyone on your project has shipped production infrastructure before.

A deliberately small roster

We cap active engagements so every client gets the full team's focus.

You own everything

Full infrastructure as code, tests, and runbooks ship with every system.

Worldwide delivery

Remote-first engagements across the Americas, Europe, and the Middle East.

What we build

Four disciplines, one team. From moving the data to acting on it, every engagement ships with tests, documentation, and infrastructure your engineers can run alone.

data-platform/pipelines
Live
Ingestion pipeline Healthy
Postgres
Postgres
Kafka
Kafka
Spark
Spark
Snowflake
Snowflake
Throughput
1.2M/m
Freshness
480ms-40ms
Quality
99.4%+0.3%
Quality gateslast run 12s ago
Schema contractpassed
Null / range checkspassed
Freshness SLApassed
01Move and model the data

Data Engineering

Pipelines that survive scale, schema drift, and Monday mornings.

  • Streaming and batch ingestion with full lineage
  • Lakehouse architecture on AWS, GCP, or Azure
  • Automated data quality gates and backfills
KafkadbtAirflowSparkSnowflake
Explore Data Engineering
cloud/us-east-1
Live
Compute
Network
Storage
IAM
Cost
Uptime
99.98%30d
p99
42ms-6ms
Cost MTD
$8.4k-12%
$ terraform applyPlan: 12 to add, 0 to change, 0 to destroy.module.eks.aws_eks_cluster.main: Creating…
Apply complete - 12 added
02Run it reliably

Cloud Infrastructure

Infrastructure that auto-scales, self-heals, and costs less.

  • Multi-cloud architecture and migrations
  • Terraform-managed, reproducible environments
  • SRE practices, runbooks, and on-call handoff
AWSAzureGCPTerraformKubernetes
Explore Cloud Infrastructure
agent/incident-triage
Live
Why did ingestion lag spike at 02:00 UTC?
query_metrics
search_logs
read_runbook

Lag rose to 4.2s when the orders topic rebalanced. Consumer group etl-1 was under-provisioned.

sourcesrunbook.mdmetrics.db
03Act on it

Agentic AI

AI systems that act in production, not just answer in demos.

  • RAG pipelines with hybrid retrieval
  • Autonomous monitoring and diagnosis agents
  • Agent orchestration on your proprietary data
ClaudeLangGraphLangChainPinecone
Explore Agentic AI
app.acme.io/overview
Overview Deployed
Revenue
$1.9M+8.1%
Active
24.6k+3.4%
Latency
42ms-9ms
Traffic
98
Perf
04Ship the surface

Web Development

The applications and APIs your data platform deserves.

  • Next.js applications with real-time data feeds
  • High-throughput FastAPI and Go services
  • Developer portals and internal tooling
Next.jsReactFastAPIGraphQLPostgres
Explore Web Development

How an engagement runs

The same rigorous process on every project, whatever the size.

01

Discover

We map your data landscape before writing a single line.

Every engagement starts with a technical audit. We interview your team, read your schemas, profile your query patterns, and identify the exact constraints in your current architecture.

Timeline

1 to 2 weeks

You receive

Architecture brief and risk register

02

Architect

We design for load, failure, and change, not just the happy path.

Architecture documents that include failure modes, capacity models, and migration paths. Designs are validated against your actual data volumes before we agree on a build plan.

Timeline

1 to 3 weeks

You receive

Technical spec and decision records

03

Build

Production-grade code, shipped in weekly milestones.

Our engineers embed with your team and ship in short sprints with observable progress. Every component is tested, documented, and staged before touching production.

Timeline

4 to 16 weeks

You receive

Deployed system and runbooks

04

Scale

We stay until the system handles far more load than you planned for.

After go-live we run a 30-day hardening period: load testing, alert tuning, cost optimization, and a clean on-call handoff. We leave working observability, not just working software.

Timeline

4 to 8 weeks post-launch

You receive

SLO framework and cost report

Sebko Technologies is a data and technology engineering firm. We start with a technical audit, build to production standards, and stay accountable long after launch. When we finish, your team owns the system and can run it without calling us.

Senior engineers only

You work directly with the people writing the code, not through account managers or junior developers.

Small client roster

A limited number of active engagements at a time, so you get the full focus of the team.

You own the system

Every system ships with IaC, tests, runbooks, and observability. Your team runs it without us.

The shape of our work

Representative engagements across the disciplines we build in.

All case studies

Built on tools your team already trusts

Apache Kafka
Apache Spark
Apache Airflow
Snowflake
Databricks
Terraform
Kubernetes
Docker
Grafana
Prometheus
LangChain
Hugging Face
Next.js
React
FastAPI
PostgreSQL

Deployed on AWS, Azure, and Google Cloud, always as infrastructure as code, with tests and observability included.

Sebko Technologies

Data and technology engineering

Have a system that needs building?

Tell us what you are trying to ship. A senior engineer will reply with a clear read on fit, scope, and what it would take.

  • Engagement model

    Senior engineers, direct access

  • Delivery

    Weekly milestones to production

  • Handoff

    IaC, tests, and runbooks included