Saad Ansari — Operating Manual · Night editionDoc. SRE-001 / Rev. 14Status: Accepting workloads
01 — Service ownerHyderabad 17.38°N 78.48°E--:-- ISTAvailable now · Full-time, fractional or contract

I build and run AI agents, MCP servers and AIOps pipelines in production.

Role

Principal SRE
Cloud & AI Platform Architect

↑ Goes by Saad

Previously at

  • LivePerson
  • SADA
  • EPAM
  • SAP Labs
  • Deloitte
  • Infosys

Day shift · nothing on fireNight shift · pager on, lights off

I make 3 a.m. pages rarer, shorter and a lot less dramatic.

I design systems that stay up, write the playbook for when they don't, and lately, teach AI agents to read that playbook first.

Same unit, other configurations: AI platform · Cloud architecture · Platform engineering Same history, different ordering.

In production
11+ yrs

02 — Notice

Capacity availableEffective immediately

Accepting new workloads

Between deployments and available immediately. Open to Principal and Staff roles, and to fractional, consulting, teaching and co-founder work in SRE, cloud architecture, platform engineering and AI platforms. Hyderabad, remote-first. Open to relocation (US, Canada, UK, Singapore, Gulf) with visa sponsorship.

2A — Shift handover

The 30-second versionOutgoing: Saad · Incoming: you

11+ years running production platforms on GCP, AWS and Azure at LivePerson, SADA, EPAM, SAP Labs, Deloitte and Infosys. These days I build AI agents that triage incidents, cloud foundations that survive bad days, and platforms engineers actually like using.

Unit
Mohammed Saaduddin Ansari (“Saad”)
Role
Principal SRE · Cloud & AI Platform Architect
In service
11+ years · 138 months · 6 deployments · 0 rollbacks
Stack
AI agents · MCP · AIOps · OpenTelemetry · Kubernetes · Terraform · GCP · AWS · Azure
Status
Accepting new workloads. Standby · ready to deploy.
Target
Principal / Staff engineer · Full-time · immediate start
Location
Hyderabad, remote-first. Open to relocation (US, Canada, UK, Singapore, Gulf) with visa sponsorship · IST (UTC+5:30)
Hours
Overlap with US, EU or APAC hours as needed
Ack SLO
Ack within 24 hours

03 — Uptime, 2015 → now

138 months · 6 deployments · 0 rollbacksHover the scale, or focus it and use the arrow keysTap or drag the scale
11.2026Standbyready to deploy■ Accepting workloads

Measured monthly. Every month operational; the orange ticks are standby.

Error budget 100%or press c

04 — Systems under management

9 of 9 operationalBars: years in service, 2015 → 2026
  1. 4.1 AIAI agents & agentic workflows−45% on-call noiseSince 2023

    Agents that triage alerts, investigate incidents and run runbooks. MCP servers give them tool access, a human approves every action, and evals check their output before release.

    500+alerts a day grouped into incidents
    −45%on-call noise

    Stack

    • MCP
    • LangGraph
    • LangChain
    • CrewAI
    • AutoGen
    • OpenAI Agents SDK
    • Human-in-the-loop

    Ran at LivePerson

  2. 4.2 AILLM integration, RAG & evals3 model providers, routedSince 2023

    LLMs wired into internal systems with tool use, structured outputs and routing between providers. RAG pipelines and multi-agent workflows are tested against golden datasets before they ship.

    3model providers, routed
    15+client engagements using LLM-assisted IaC

    Stack

    • Anthropic API
    • OpenAI API
    • Gemini API
    • pgvector
    • LangSmith
    • Prompt caching
    • Golden datasets

    Ran at LivePerson · SADA

  3. 4.3 CloudCloud architecture & migrations300+ applications migratedSince 2015

    Landing zones and foundations built from scratch, migrations planned end to end, and multi-region, multi-cloud designs on GCP and AWS that hold up on bad days.

    300+applications migrated
    99.99%uptime, Fortune 500 client

    Stack

    • GCP
    • AWS
    • Azure
    • Terraform
    • Landing zones
    • GKE
    • EKS

    Ran at SADA · SAP Labs · Infosys

  4. 4.4 CloudDisaster recovery4h → <20m recovery time (RTO)Since 2022

    Recovery designed and rehearsed before it is needed. For a critical banking system that meant cutting recovery from hours to minutes and losing almost no data.

    4h → <20mrecovery time (RTO)
    1h → <5mdata loss window (RPO)

    Stack

    • Multi-region
    • RTO / RPO design
    • Kasten K10
    • Terraform
    • Runbooks

    Ran at SADA

  5. 4.5 SREObservability & incident response−50% MTTR at LivePersonSince 2020

    SLOs and error budgets agreed with the business, telemetry on OpenTelemetry, and ML anomaly detection that pages a person only when it matters.

    −50%MTTR at LivePerson
    15 → <3mmean time to detect

    Stack

    • OpenTelemetry
    • Prometheus
    • Grafana
    • Datadog
    • SLOs
    • AIOps

    Ran at LivePerson · SADA · SAP Labs

  6. 4.6 PlatformKubernetes & delivery2w → 4h deployment cycle, zero downtimeSince 2017

    Clusters across GKE, EKS and AKS, and pipelines that make releases boring: GitOps, drift that reverts itself, and rollback without a war room.

    2w → 4hdeployment cycle, zero downtime
    50+deploys a day with auto-rollback

    Stack

    • Kubernetes
    • Helm
    • Argo CD
    • GitHub Actions
    • Jenkins
    • Spinnaker
    • Istio

    Ran at SAP Labs · EPAM · Deloitte

  7. 4.7 PlatformInternal developer platform50+ engineers on the platformSince 2021

    Self-service infrastructure through templates and golden paths, so service teams ship without filing a ticket and waiting a week.

    50+engineers on the platform
    days → <30menvironment provisioning

    Stack

    • Backstage
    • Crossplane
    • Terraform modules
    • Golden paths
    • Policy as code

    Ran at LivePerson · EPAM

  8. 4.8 PlatformFinOpsup to −40% client infrastructure costSince 2022

    Tagging policy, commitment planning and right-sizing, with AI-assisted recommendations, so the cloud bill stops being a surprise.

    up to −40%client infrastructure cost
    −35%approx., after a 100+ app move to GCP

    Stack

    • Tagging policy
    • Commitments
    • Right-sizing
    • Kubecost
    • CAST AI

    Ran at SADA · LivePerson

  9. 4.9 SecuritySecurity, compliance & AI guardrailsATO reached for a healthcare agencySince 2022

    Landing zones that stay inside SOC 2 and HIPAA controls, a framework that took a healthcare agency to Authority to Operate, and guardrails for AI agents.

    ATOreached for a healthcare agency
    SOC 2& HIPAA-aligned landing zone

    Stack

    • IAM
    • OPA / Gatekeeper
    • Vault
    • Prompt-injection guards
    • PII redaction

    Ran at SADA · LivePerson

05 — Telemetry

Measured in production, not in benchmarksBars: stated before and after, to scale · Each number links to its incident

06 — Incident log

A career, written up as blameless postmortemsNewest first
  1. INC-007 Resolved

    LivePerson

    Principal Site Reliability Engineer

    Jun 2025 – Nov 2026

    Alert storm on a platform serving millions of conversations

    1. Investigating

      500+ alerts a day. Most of them noise, all of them paging a human.

    2. Identified

      No correlation, no context. Engineers were pattern-matching dashboards at 3 a.m.

    3. Fix deployed

      Built an AIOps pipeline on OpenTelemetry with ML anomaly detection, plus AI agents for triage, investigation and runbooks. Every agent action waits for a human to approve it.

    4. Monitoring

      Rolled out a Backstage + Crossplane developer platform for 50+ engineers and LLM-assisted Terraform review, so infrastructure changes shipped noticeably faster.

    5. Resolved

      On-call noise down 45%. MTTR down 50%. Mentored a team of 8 along the way.

    • AIOps
    • AI agents
    • MCP
    • OpenTelemetry
    • Backstage
    • Crossplane
  2. INC-006 Resolved

    SADA (An Insight Company)

    Cloud Architect

    May 2022 – May 2025

    Clients needed the cloud without the outages

    1. Investigating

      300+ applications to move to GCP and AWS, and a critical banking system that needed 4 hours to recover.

    2. Fix deployed

      Built GCP foundations from scratch, planned the migrations, designed multi-region architecture and disaster recovery. Brought LLM-assisted Terraform and PR review to client work from 2023.

    3. Resolved

      Banking RTO from 4h to under 20m, RPO from 1h to under 5m. 99.99% uptime, multi-region and multi-cloud, for a Fortune 500 client. Infrastructure costs down by up to 40% across 15+ engagements.

    • GCP
    • AWS
    • Landing zones
    • Migrations
    • DR
    • FinOps
  3. INC-005 Resolved

    EPAM Systems

    Lead DevOps Engineer

    Nov 2021 – May 2022

    Configuration drift detected across client environments

    1. Fix deployed

      GitOps with GitHub Actions and ArgoCD, so drift gets detected and reverted on its own. A reusable Terraform module library.

    2. Resolved

      Environment provisioning from days to under 30 minutes. Led a team of 6 through 4 engagements with zero critical incidents.

    • GitOps
    • ArgoCD
    • Terraform
    • Multi-cloud
  4. INC-004 Resolved

    SAP Labs

    Sr DevOps Engineer

    Jan 2020 – Nov 2021

    Migrating SAP's product suite to Kubernetes on GCP

    1. Fix deployed

      Owned the GKE clusters as Product Owner across 100+ environments. CI/CD with Jenkins, Spinnaker and Ansible. Standard Prometheus and Grafana monitoring.

    2. Resolved

      Deployment cycle from 2 weeks to under 4 hours, zero downtime. MTTR from 4 hours to 30 minutes.

    • Kubernetes
    • GCP
    • Spinnaker
    • Prometheus
  5. INC-003 Resolved

    Deloitte USI

    DevOps Engineer

    Oct 2017 – Jan 2020

    Provisioning took two days. Nobody liked that.

    1. Resolved

      Terraform and Ansible for 10+ enterprise clients: 2 days → 30 minutes. Jenkins pipelines running 50+ deploys a day with automatic rollback.

    • Terraform
    • Ansible
    • Jenkins
  6. INC-002 Deployed

    Infosys

    DevOps Engineer

    Jun 2015 – Oct 2017

    Saad v1.0 deployed to production

    1. Deployed

      Helped move 20+ client applications from data centres to AWS. Automated away 30+ hours of manual work a week.

    • AWS
    • Bash
    • Python
    • Linux
  7. INC-001 Deployed

    MJCET, Osmania University

    B.Tech, Computer Science and Engineering

    2011 – 2015

    Initial commit

    1. Deployed

      Computer science degree, and head of Microsoft's student ambassador programme on campus. Builds have been passing since.

    • CGPA 8.4
    • Microsoft Student Ambassador

6A — Troubleshooting

Symptom → probable cause → remedyIf the symptom persists, see section 08
SymptomProbable causeRemedySee
The pager fires 500+ times a dayNo correlation, no context: every alert pages a humanAn AIOps pipeline on OpenTelemetry with ML anomaly detection, and AI agents that triage first4.14.5INC-007
Recovery takes four hoursDisaster recovery was never designed or rehearsedMulti-region architecture, RTO and RPO targets, and runbooks rehearsed before they are needed4.4INC-006
A release takes two weeksReleases are an event, with a war room for every rollbackCI/CD and GitOps that make releases boring, with zero downtime and automatic rollback4.6INC-004INC-003
Environments drift apartChanges are made outside Git and nobody reverts themGitOps with GitHub Actions and Argo CD, so drift is detected and reverted on its own4.6INC-005
A new environment takes daysProvisioning means filing a ticket and waitingSelf-service templates, golden paths and a reusable Terraform module library4.7INC-005INC-003
The cloud bill is a surpriseNo tagging policy, no commitment plan, nothing right-sizedTagging policy, commitment planning and right-sizing, with AI-assisted recommendations4.8INC-006
An AI agent wants production accessNo guardrails between the model and the toolsMCP servers for tool access, a human approving every action, and evals before release4.14.9INC-007

07 — Deployment modes

Same engineer, different SLAsPrimary: 7.1
7.1 PermanentPrimary modePrincipal / Staff engineerSRE, cloud architecture, platform engineering or AI platforms. Hyderabad, remote-first. Open to relocation (US, Canada, UK, Singapore, Gulf) with visa sponsorship.Full-time · immediate startStart a thread

Also available as

  1. 7.2 FractionalFractional cloud, AI or SRE architectSenior architecture without a full-time hire: landing zones, reliability programmes, AI agent platforms, design reviews and roadmaps.1–3 days a week · monthly retainerStart a thread
  2. 7.3 FractionalFractional CTOFor startups that need technical leadership before they need a full-time CTO: architecture, hiring, vendor and cloud choices, costs, and getting to production safely.Retainer · typically 3–6 monthsStart a thread
  3. 7.4 ProjectConsulting & freelance projectsCloud migrations, Kubernetes platforms, observability and SLOs, disaster recovery, FinOps clean-ups, and AI agents for operations.Fixed scope or time and materialsStart a thread
  4. 7.5 TeachingWorkshops & coursesHands-on teaching on SRE, Kubernetes, cloud architecture and AI for operations, built from real incidents rather than slides.Teams · colleges · online cohortsStart a thread
  5. 7.6 MentoringCareer advice & mentoringFor engineers moving into SRE, cloud or platform roles, or from senior to staff and principal: direction, resumes, interviews and system design.1:1 sessionsStart a thread
  6. 7.7 EquityTechnical co-founderBuilding something in AI or infrastructure and need a technical partner who has run production at scale? Let’s talk early.By conversationStart a thread

Not sure which fits? Describe the problem and I will suggest one.

Page Saad

08 — Escalation path

On call: Saad · Hyderabad, IST (UTC+5:30)Ack SLO: within 24 hours · Severity: any

Ack SLO
Ack within 24 hours
Hours
Overlap with US, EU or APAC hours as needed
Base
Hyderabad, remote-first. Open to relocation (US, Canada, UK, Singapore, Gulf) with visa sponsorship
  1. 1 EmailAssembled in your browserCopied ✓ClickTap to copy ⧉
  2. 2 LinkedInin/md-saaduddin-ansariGood for a quick intro
  3. 3 GitHubmohammed-saaduddin-ansariProfile
  4. 4 DatasheetPrincipal SRE · PDFTwo pages, no tracking

Same unit, other configurations: AI platform · Cloud architecture · Platform engineering Same history, different ordering.

Controls

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