NextOps
Slack-native runbooks for DB access, job termination, feature toggles, and on-call with live RBAC and Temporal-backed execution.
Open demo
80%
manual ops shifted to automation
50%
faster emergency releases (EBF)
3 clouds
AWS · Azure · GCP delivery
4 demos
clickable production replicas (desktop)
If you only have 1 minute
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Best for
Platform, DevOps, and SRE roles where reliability, automation, and developer experience matter.
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I'm strongest when
Production is messy, on-call is heavy, and teams need safe self-service instead of ticket queues.
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Recent win
Cut manual ops toil ~80% and accelerated emergency releases ~50% through automation and governed self-service.
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Proof
Interactive replicas of systems I shipped. Explore on desktop, or grab the PDF below.
Executive Summary
Curious, hands-on engineer who enjoys solving messy operational problems and making complex systems easier for people to run. I bring a calm, structured approach to incidents and change, communicate clearly with technical and non-technical stakeholders, and care about building trust through reliability and follow-through. Over 5.5 years I have grown from implementing automation to designing platforms that scale with the business, always learning and improving how teams ship and operate software safely.
Built for teams of engineers, not slide decks
Salesforce
Informatica
Thoughtworks
TCS
Shipped at Salesforce & Informatica
Production platforms I architected and built
These are not concept slides. They are interactive replicas of the systems I delivered in production. Explore how I combine Slack-native ChatOps, Temporal orchestration, LLM agents, and governed GitOps to replace ticket queues with safe, auditable self-service.
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NextOps Self-service prod ops from Slack with RBAC, runbooks, and on-call automation
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Cosmic AI YAML-defined agents that run infra actions via natural language
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SSP JIRA + CAB approvals wired into GitOps change execution
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Ops-Sage Config-driven alert validation and auto-remediation
What I bring to your team: faster incident resolution, 50% faster emergency releases, FinOps-aware infra design, and platforms engineers actually adopt because they live in Slack and Teams, not another portal.
Full interactive demos → desktop. On mobile, explore my timeline and PDF below, or email me for the desktop demo link.
Email me the desktop demo link
Live portfolio demos
CloudStack Ops Automation Suite
Four products I shipped: NextOps and Cosmic AI for intake, SSP for governed execution, and Ops-Sage for automated alert response, all on Temporal, RBAC, and a complete audit trail.
Cosmic AI
YAML-defined agents compiled into Temporal workers. Engineers ask in plain English; the LLM generates safe queries with capability-level RBAC.
Open demoSSP
Change requests flow through JIRA and CAB approval before any production mutation. Approvals gate Temporal workflows and deployment pipelines.
Open demoOps-Sage
Matches each on-call alert to a runbook, validates live context, executes remediation through SSP, and only pages a human when validation fails.
Open demoNextOps Bot
Secure Self-ServiceWhat it is / Why it matters
A Slack bot that lets engineers and support staff safely run production operations on the CloudStack platform: provision database users, kill stuck jobs, toggle features, and triage incidents, all from Slack with role-based access and a full audit trail. No direct production access required.
BUSINESS IMPACT
Self-service in seconds, not tickets
Default-deny RBAC checks
Every action fully audited
Zero direct prod terminal access
NextOps Automation Center
Good evening, Alex Rivera
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Admin
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Active Users
16 Users
Security Groups
3 Groups
Registered Services
24 Services
Temp Access Grants
2 Active
Quick Actions
Live execution feed
Run a quick action to see a simulated workflow card with validation steps, progress, and audit confirmation.
Provisioning & Diagnostics Catalog
Audit History Log
| Workflow ID | Type | Status | Duration | Operator | Time |
|---|---|---|---|---|---|
| wf-8812 | Take Thread Dump | Complete | 3.4s | Priya Nair | 4 hrs ago |
| wf-8794 | Release DB Lock | Complete | 1.8s | Sam Chen | 1 day ago |
Cosmic AI
Autonomous agentWhat it is / Why it matters
An AI-powered "senior SRE" that lives in Slack. Talk to it in plain English about any infrastructure or incident problem and it investigates, reasons step-by-step, runs the right operations, and remembers everything, available 24/7. Powered by GPT-5.
BUSINESS IMPACT
Replaces 24/7 manual toil
Investigates diagnoses in parallel
Learns from every incident history
Mandatory human approvals for write operations
Cosmic AI Diagnostics Copilot
Cosmic AI
Just now
Welcome to the Cosmic AI diagnostics terminal. I can check pod performance, query status, run safe operations, and recall past incident notes. What should we investigate?
Cosmic AI Diagnostics Parameters
AI Queries Sent
1,248
Active Watchlists
4 Pods
Granted Scope
18 SRE Agents
Available Console CLI Commands
/sreagent help
List available agents, parameters, and command controls.
/sreagent memory recall <query>
Search past incident conversations and resolution details.
/sreagent watch <pod>
Configure monitoring alerts and notify channels on latency.
SSP
Governed Self-ServiceWhat it is / Why it matters
The governed automation engine behind the scenes. Every operational action is validated, gets a JIRA change ticket, waits for the right approvals (Change Advisory Board), then executes against production and notifies everyone, fully audited every time.
BUSINESS IMPACT
No direct production logins
Mandatory Change Advisory Board (CAB) gate
Temporary, auto-expiring user parameters
Complete Slack + JIRA + Email audit ledger
SSP Governance Stepper
Submit & Validate
Pending form inputs...
Change request ticket
Not started
CAB Notification
Not started
Apply Change
Not started
Deliverable & Notify
Not started
SSP Governed Execution request
CHG-447561
Summary
[Cloud-SSP] Feature Toggle | Pod cloudstack-prod-use2 | Org org-acme-8842
Description
Governed Feature Toggle execution triggered via SSP. Verification required.
Labels
Feature Toggle Request
AWAITING APPROVAL
From:
SSP Governance Engine <ssp-notify@example.com>
To:
Alex Rivera <alex.rivera@example.com>
Subject:
Completed: governed workflow wf-8842 Mongo logs export
Cloud Self Service Portal
The requested workflow has been approved and executed successfully. Output files have been compiled and encrypted using standard Fernet symmetric keys. Access credentials will expire in 6 hours.
Encrypted Log File:
Click here to access OneDrive folder
Fernet Decryption Key:
gAAAAABmX_k9R...
Total File Size:
14.2 MB
Decryption Instructions
To extract the contents locally on a terminal with python installed, run the following decryption parameters:
python decrypt.py logs.enc <fernet_key>
Ops-Sage
On-Call Alert AutomationWhat it is / Why it matters
Ops-Sage watches incoming on-call alerts and acts on them automatically. For each alert type you configure a validation checklist and an approved remediation action. When an alert fires, Ops-Sage validates the signal against live context, runs the action through the governed SSP engine if checks pass, and only escalates to a human when validation fails, removing pager fatigue for known failure patterns.
BUSINESS IMPACT
Automated response in seconds, not minutes
Reduces on-call toil for repeat alerts
Validation gate before any production change
Every auto-action fully audited
Simulated alert queue. Click Process to watch Ops-Sage validate an alert and execute the configured action without paging on-call.
| Alert | Severity | Pod | Runbook | Status | |
|---|---|---|---|---|---|
| JVM heap utilization above 90% | High | cloudstack-prod-use2 | heap-scale-v2 | Waiting | |
| API latency p99 > 2500ms on profiling endpoints | High | cloudstack-prod-use2 | conn-pool-scale | Waiting | |
| Disk usage > 85% on worker node pool | Medium | cloudstack-prod-apse1 | log-rotate-sweep | Waiting |
Recent automated remediations executed by Ops-Sage (simulated audit trail).
| Time | Alert | Action | Pod | Result | On-call paged? |
|---|---|---|---|---|---|
| 06:42 UTC | Stale deployment lock on org org-acme-8842 | release-lock | cloudstack-stg-pod1 | Complete | No |
| 05:18 UTC | Certificate expiry warning (< 14 days) | ssl-renotify | cloudstack-prod-use2 | Complete | No |
Each alert type maps to validation checks and an approved action. Ops-Sage only escalates when a check fails.
Validate: confirm single pod spike, no active deploy, heap trend > 5 min.
Action: apply JVM heap multiplier via SSP workflow.
Validate: DB pool at capacity, no Sev-1 open.
Action: scale connection pool ConfigMap + rolling restart.
Validate: log volume growth, not data disk.
Action: trigger log rotation job on node pool.
Engineering Repositories
NextOps ChatOps Platform
Salesforce
A Slack-native production operations self-service automating operations with high reliability.
- Built event-driven workflows powered by Temporal Orchestration for reliable long-running operations.
- Engineered a live Slack-administered RBAC engine enabling secure access directly in conversation.
- Integrated on-call alert automation (Ops-Sage) and AI-assisted diagnostics to minimize MTTR.
Temporal
ChatOps
AI/LLM
Slack
Python
Cosmic AI Agent Platform
Salesforce
A manifest-driven AI agent engine automating multi-tenant cloud infrastructure management via chat interfaces.
- Auto-compiles YAML specification files into active, task-running Temporal workflow workers.
- Generates LLM queries contextually with fine-grained capability-level RBAC for cloud safety.
- Supports multi-tenant architectures, translating natural language into actionable Infrastructure actions.
LLMs
Azure OpenAI
Temporal
Kubernetes
GitOps
Career Timeline
Senior Member of Technical Staff
Salesforce
Before: Ticket queues and manual prod access. After: Slack self-service with live RBAC, Temporal workflows, and full audit trails.
- Architected and built NextOps, a Slack-native ChatOps/self-service platform for automating production operations, featuring Temporal-backed workflows, a live Slack-administered RBAC engine, on-call automation, and AI-driven Root Cause Analysis.
- Designed and implemented Cosmic AI, a manifest-driven AI agent platform that manages multi-tenant cloud infrastructure via natural-language Slack/Teams chat, leveraging YAML specs for auto-compilation into Temporal workers with LLM query generation and capability-level RBAC.
Senior DevOps Engineer
Informatica
Before: Repeat pager storms and portal bottlenecks. After: Alert auto-remediation, self-service portal, and ~50% faster emergency releases.
- Designed and developed a scalable AI Agent Orchestration Platform, incorporating dynamic task chaining, parallel execution, intelligent data flow, and a central agent knowledge layer for improved automation accuracy and accelerated multi-step workflows.
- Built Ops-Sage, an on-call alert automation system that validates incoming alerts against configured runbooks and executes remediations through SSP, reducing pager load for repeat failure patterns.
- Developed multiple Microsoft Teams bots to support team operations and streamline incident management processes.
- Created a self-service portal using Python and Temporal, enabling engineering teams to independently run scripts and perform operational tasks, reducing reliance on DevOps/Platform support.
- Automated Emergency Bug Fix (EBF) deployments, optimizing the release process and achieving a 50% increase in deployment speed by minimizing manual intervention.
- Partnered with customers to diagnose and resolve critical production issues, ensuring high satisfaction and reliable service delivery.
- Contributed to Disaster Recovery (DR) drills, driving process enhancements and reducing recovery times annually.
- Collaborated with the FinOps team to monitor and optimize infrastructure costs, implementing cost-efficient architectures that significantly lowered cloud expenses.
DevOps Engineer
Informatica
Before: Fragmented multi-cloud onboarding and manual scripts. After: GitOps standards, IaC at scale, and ~80% less routine manual work.
- Led the onboarding of a multi-cloud data platform service across AWS, Azure, and GCP, optimizing data management workflows.
- Collaborated with cross-functional teams to implement GitOps methodologies, enhancing version control and deployment accuracy.
- Utilized Kubernetes to orchestrate containerized applications, improving scalability and resource utilization.
- Engineered infrastructure as code (IaC) using Terraform to ensure consistent and repeatable environment provisioning.
- Employed Chef for configuration management, automating software deployments and system configurations.
- Developed Python and Bash scripts to automate routine tasks, reducing manual effort by 80%.
- Played a key role in cloud migrations, ensuring minimal downtime and seamless data transition.
- Swiftly addressed production incidents, performing root cause analysis and implementing corrective actions.
- Contributed to the development of internal tools, streamlining team processes and enhancing productivity.
Infrastructure Consultant
Thoughtworks
- Implemented automation solutions using Python to streamline infrastructure management tasks.
- Managed application deployments within Kubernetes environments, ensuring smooth operations and scalability.
- Designed and implemented robust CI/CD pipelines to accelerate software delivery and improve release reliability.
- Conducted security vulnerability checks across infrastructure to maintain high security standards.
- Performed cost-cutting research for AWS cloud resources, identifying and implementing strategies to optimize expenditure.
Assistant System Engineer
Tata Consultancy Services
- Integrated CI/CD pipelines to automate build, test, and deployment processes for microservices, enhancing workflow efficiency.
- Configured and managed Kubernetes clusters for container orchestration and application deployment, ensuring reliable application performance.
- Automated preparation and configuration of testing platforms for IBM MQ software across cloud providers (AWS, Azure, IBM Cloud, GCP) and on-premise servers using Ansible, streamlining deployment processes.
- Built microservices into Docker images, facilitating containerization and deployment.
Education
BE / Mechanical Engineering
Chennai Institute of Technology
Graduated: Jan 2020HSLC / Bio-Math
IIPE Laxmi Raman Higher Secondary School
Completed: Jan 2016Credentials
- Microsoft: Azure Fundamentals
- IBM: Containers & Kubernetes Essentials
- IBM: MQ Developer Essentials
- Dassault: SolidWorks Associate
Activities
Volunteer / APJ Youth Club
Engaged in local community empowerment, educational drives, and youth guidance programs.
Contributor / JsonQ
Contributed updates and enhancements to JsonQ, a query-like library for JSON data structures in Python/Golang.
Interested in platform engineering, SRE, or DevOps leadership?
I'm open to roles where reliability and automation are strategic, not afterthoughts. Let's talk about reducing toil, shipping safer change, and building platforms engineers love.