Samskrutha Swamy

Sheet 00/Cover/Samskrutha Mruthyunjaya Swamy

The work underneath.

I'm Samskrutha, a senior DevOps and platform engineer in Berlin. I design, build and run the cloud infrastructure that software lives on: Kubernetes, Terraform, delivery pipelines, and the observability to see all of it working.

Twelve years in software, the last seven on the platform side, across automotive, finance, digital health and an AI startup. Below is what I can do, how I work, and where I've done it.

Berlin · · checking the dashboards
Fig. 0 The author, in three tones.

Fig. 1 The life of a change. Click a station to see what I can do there.

A deploy pipeline drawn as a loop Six stations: commit, build, deploy, serve and observe left to right, and learn on the return path. Each station is a button that shows what Samskrutha can do at that step. selective reproducible serialised tagged commit build deploy serve observe learn

Sheet 01/Capabilities

What I can do.

A few ways I can help your team. Every one of these is something I've done in production, not something I've read about. Open any card for the specifics.

  • Build a cloud platform from scratch AWS or Google Cloud, written entirely in Terraform

    Networking, compute, databases, IAM, secrets, tagging and cost attribution, all as code from day one. I write reusable Terraform modules so the second environment is a pull request, not a project.

    Done it: greenfield AWS platforms for automotive projects, a migration to a sovereign Google Cloud for a digital-health company, and bringing a hand-built startup cloud fully under Terraform.

  • Run Kubernetes in production Certified Kubernetes Administrator

    EKS, GKE or self-managed. Helm charts, GitOps with Argo CD or Flux, autoscaling, high availability, upgrades without downtime, and the guardrails (resource limits, network policies, admission rules) that keep a shared cluster civil.

    Done it: fault-tolerant clusters for high-traffic applications, GKE provisioned from Terraform with Argo CD wired in, and the ELK and Prometheus stacks running inside the clusters they watch.

  • Make delivery boring CI/CD that a team trusts on a Friday afternoon

    GitHub Actions, GitLab CI or Jenkins. Selective deploys that only ship what changed, serialised releases, security scanning in the pipeline, environment promotion, and rollbacks that take one command.

    Done it: designed delivery pipelines from scratch for teams of five to fifty, including the deploy mechanism a startup still runs on today.

  • Stand up observability, then teach it Metrics, logs, traces, dashboards, alerts, on-call

    Datadog, Prometheus and Grafana, Elastic or Loki. Consistent service tagging, dashboards that are actually correct, alerts tied to who should move, SLOs, and the written guide and walkthroughs so every team can debug its own services.

    Done it: built a startup's observability platform from nothing, ran the trainings, and kept the bill in check without losing visibility.

  • Lead incident response Calm at three in the morning

    On-call design, incident command, clear communication while things are on fire, and the postmortem, runbook and alert fixes afterwards so the same thing is caught earlier next time. I'm comfortable owning the database and infrastructure side of an outage.

    Done it: the standing incident commander for platform and database outages at a startup, including restoring production databases from backup during a live incident.

  • Get you through SOC 2 and ISO 27001 Controls, evidence, remediation

    Owning controls, collecting evidence before the auditor asks, working through cloud security findings one by one, and the access side: SSO, zero-trust access to internal systems, key rotation, WAF, logging retention.

    Done it: owned the infrastructure controls and evidence for a startup's first SOC 2 and ISO 27001 certifications, and wrote the incident-management process.

  • Keep the cloud bill honest FinOps without the spreadsheet theatre

    Tagging standards that make spend attributable per service and team, right-sizing, log and metric hygiene, regular cost reviews across cloud and SaaS vendors, and negotiating the contracts myself when it helps.

    Done it: made per-service spend visible for the first time at a startup and cut the observability bill substantially while keeping every signal that mattered.

  • Engineer the data platform Pipelines, data contracts, data products

    Reliable pipelines, data contracts with versioning and compatibility rules, freshness and integrity checks that run before anything is published, and a catalogue so consumers can find what they need. Python and TypeScript when there's code to write, SQL always.

    Done it: co-leading the move from datasets to governed data products on a startup's data engineering team.

  • Lead and grow a team Hands-on lead, not a ticket router

    I've led a DevOps team of five, mentored engineers, onboarded new hires from day one and handed over whole areas cleanly. A Certified Scrum Product Owner, so I'm comfortable with roadmaps, stakeholders and saying no with a reason.

    Done it: led the DevOps team for automotive projects in Wolfsburg, and later onboarded and handed over to my successor at a startup.

Sheet 02/How I work

Field notes.

Things I've come to believe after enough deploys, enough pages, and enough mornings after. Written down so I'm held to them.

  1. 01

    Set the direction, then do the plumbing.

    Writing the proposal is half the job. The other half is the module nobody thanks you for and the boring tag on every service. Direction without plumbing is a slide deck.

  2. 02

    Visible, then correct, then cheap. In that order.

    You can't cut what you can't see, and you shouldn't cut what you don't trust. Get the dashboards right first. Then the bill comes down on its own, and nothing goes dark on the way.

  3. 03

    An alert should change what someone does.

    Every monitor should answer two questions: who moves, and what do they do first? If neither has an answer, it's a graph, not an alert. Graphs are fine. Just don't page people with them.

  4. 04

    Write the runbook before the second incident.

    The first time, you're allowed to improvise. The second time, someone should be reading your notes instead of calling you. If they still have to call you, the notes weren't finished.

  5. 05

    Teach it, then hand it on.

    A platform that only I understand is a liability with a dashboard. The real finish line is the walkthrough, the written guide, and the day the next person owns it without needing me in the room.

  6. 06

    Be the person people can ping.

    A lot of this job is being reachable when it matters, answering fast, and never making anyone feel small for asking. If people are afraid to ping the platform team, the platform team hears about problems last.

Sheet 03/Experience

Where I've done it.

Three countries on three continents, and a slow drift from writing the application to owning the ground it runs on. Click a stop on the map, or use the arrows.

Map of the route A dotted line connecting Mysore, Kalamazoo, Dallas, Wolfsburg and Berlin, in that order. Each stop is a button that shows that chapter. Mysore2008 Kalamazoo2012 Dallas2014 Wolfsburg2019 Berlin2024 →
Fig. 2 Not to scale. The Atlantic is wider than it looks here.
5 / 5, Berlin

2024 – now · Berlin, Germany

Platform, observability, and now data.

First a senior DevOps engineer at Perfood, migrating a digital-health platform to a sovereign Google Cloud with Terraform, GKE, Argo CD and a Prometheus and Grafana stack, where compliance isn't optional. Since 2025, platform, infrastructure and observability engineer at Bluefish AI, a Berlin startup, serving every engineering team, and lately a data engineer there too.

  1. 2025 –Bluefish AI, Berlin · Platform, observability & data engineering
  2. 2024 – 25Perfood, Lübeck · Senior DevOps engineer, sovereign cloud for digital health
  3. 2019 – 24Hexad, Wolfsburg · Lead DevOps engineer, automotive
  4. 2014 – 19HCL, Dallas · Senior software engineer, finance & travel
  5. 2012 – 14Western Michigan University, Kalamazoo · M.S. Computer Science
  6. 2008 – 12Visvesvaraya Technological University, Mysore · B.E. Computer Science

Sheet 04/Bill of materials

Toolbox.

Honest labels: daily means I live in it, often means I reach for it most months, when needed means I've shipped with it and can again. Tools change, and I'll happily learn yours.

LayerMaterials
CloudAWSGoogle CloudAzure
OrchestrationKubernetesECSHelmArgo CDFluxDocker
Infrastructure as codeTerraformCloudFormationAnsible
DeliveryGitHub ActionsGitLab CIJenkinsGitOps
ObservabilityDatadogPrometheusGrafanaLokiElasticNew Relic
DataPostgres / RDSSQLStep FunctionsData contractsRedshift
Security & complianceSOC 2ISO 27001IAM / SSOWAFZero-trust access
LanguagesPythonShellTypeScriptJava
  • Certified Kubernetes Administrator
  • HashiCorp Terraform Associate
  • AWS Cloud Practitioner
  • Certified Scrum Product Owner
  • Azure Fundamentals

Sheet 05/Contact

Say hello.

I'm in Berlin and I like hard infrastructure problems. If you need someone who can build the platform and then run it, write me a note. I read every one.

Send a note

Off the clock I'm with my wife and our two-year-old, or listening to a tech podcast while building something that doesn't need to exist yet.