---
title: 'Cloud Operations Analyst at Matillion'
canonical: 'https://feeny.ai/job/cloud-operations-analyst-matillion-hyderabad-0zqgn1azpsa6'
type: 'job'
last_seen: '2026-09-25'
---

# Cloud Operations Analyst at Matillion

- **Company:** Matillion
- **Location:** Hyderabad, India
- **Work type:** onsite
- **Posted:** 2026-04-20
- **Last confirmed live:** 2026-09-25
- **Apply:** https://jobs.lever.co/matillion/929da6fe-b99f-4438-b4f3-21628db51c2a

## Job description

Are you ready to shape the future of data? Matillion is the company behind Maia, the AI Data Automation platform. In the AI economy, demand for data is exploding. Manual data engineering can’t keep up. Maia fixes that by combining 15 years of data expertise with agentic AI to eliminate the manual work that slows data teams down. Organisations like Cisco, DocuSign, and Slack are already using it to deliver real business impact, faster. We started in Manchester and now we’re global - with teams across the UK, US and India. We are driven, curious, energetic people who move fast, think big and hold ourselves to a high standard. We’re here to make a dent in the universe bigger than ourselves. And we’re looking for people who want to be part of it.

## About the role

We're Matillion - and we're building the first AI Data Automation platform. Our cloud infrastructure isn't a back-office function; it's the engine that powers everything our customers rely on. As a Cloud Operations Analyst, you'll be a key architect of that engine, owning the reliability, scalability and security of our cloud-native platforms across AWS, GCP and Azure. This is a high-impact individual contributor role that sits at the intersection of Cloud Infrastructure, FinOps and SRE, and you'll be working in a small, focused engineering team where your decisions have real, visible consequence.

This isn't a reactive ops role. You'll be proactively identifying bottlenecks, driving automated remediation, applying AI tooling to accelerate workflows and partnering with Finance to make sure we scale efficiently. If you thrive with autonomy, think in systems and believe cloud infrastructure should be engineered with clinical precision, this is for you.

## What you will be doing

- Designing, implementing and continuously improving Matillion's cloud infrastructure estate and Infrastructure as Code across AWS (primary), GCP and Azure, and conducting deep-dive performance analysis and driving automated remediation of bottlenecks
- Leading FinOps initiatives; analysing cloud spend, managing Reserved Instances and Savings Plans, and partnering with Finance to ensure we scale efficiently and responsibly
- Applying AI-powered developer tools (including Claude Code) to research, automate and accelerate operational workloads without compromising on safety or quality
- Managing Kubernetes (EKS) and Docker deployments at scale, scripting automation in Python, Go or Bash, and owning the consistency and reliability of our cloud-native platforms
- Mentoring junior analysts, leading technical knowledge shares, and driving continuous improvement in the team's ways of working by building a culture of documentation and operational excellence

## What we are looking for

- Demonstrable experience in a Cloud Operations, DevOps or SRE role supporting high-availability SaaS environments with advanced, hands-on AWS expertise (EC2, S3, RDS, Lambda, EKS) and proven Terraform mastery including complex state files and code modularisation
- A sharp eye for cost optimisation; you can analyse cloud usage data, identify inefficiencies and translate findings into clear, actionable recommendations that guide real infrastructure decisions and keep spend aligned to growth
- Strong Kubernetes (EKS) and containerisation experience at scale, paired with solid scripting ability in Python, Go or Bash for automating operational tasks
- A genuine willingness to master AI-powered developer tooling; you see AI as a force multiplier for productivity, not a threat to quality
- Autonomy and a bias for action; you dig into problems independently, think in systems, supervise AI outputs with rigour, and don't wait to be told what needs fixing

More about Matillion

We operate a flexible working culture that promotes work-life balance, with benefits including: Company Equity 27 days paid time off 12 days of Company Holiday 5 days paid volunteering leave Group Mediclaim (GMC) Enhanced Parental leave policies MacBook Pro

## Your Safety

Matillion recruiters will only contact you from @matillion.com email addresses. We occasionally work with trusted recruiting partners; they will always tell you they are working on our behalf. We will never ask for money, fees, or bank details at any point in the hiring process. If something feels off, trust that instinct. Don't click any links. Go straight to matillion.com/careers to verify open roles or reach us at talent@matillion.com.

Want to know more?

Don't tick every box? Apply anyway. We hire for potential, not just experience. A member of our Talent Acquisition team will be in touch.

Cannot find anything suitable role right now? We still want to hear from you. Drop us a line at talent@matillion.com. Find out more about life on #TeamGreen here.

Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.

## About Matillion

## Company Overview
- **One-liner**: Matillion is the intelligent data integration platform that empowers data teams to build and manage pipelines faster for AI and analytics - at scale.
- **Entity Type**: Private (Unicorn; Series E funding at $1.5 billion valuation)
- **Headquarters**: Manchester, England (dual headquarters in Denver, Colorado, USA; additional office in Hyderabad, India)
- **Founded**: 2011
- **Founders**: Matthew Scullion and Ed Thompson

## Core Business
- **Primary industry**: Data integration, cloud data warehousing, AI data automation
- **Target customers**: B2B enterprise – data teams at large organizations (customers include Cisco, DocuSign, Slack, St. James Place, TUI)
- **Mission/purpose**: Remove data friction, 100x productivity, and open up data integration to the entire business, with AI and for AI

## Products & Services
- **Data Productivity Cloud**: Cloud-native platform for extracting, loading, and transforming data from a wide range of sources into cloud data warehouses (AWS, Snowflake, etc.)
- **Maia**: The world’s first agentic AI for data teams – autonomously creates, manages, and evolves data products for humans and AI
- **Change Data Capture (CDC) & Data Replication**: Real-time data ingestion and synchronization capabilities

## Market Standing
- **Valuation**: $1.5 billion (Series E funding round)
- **Key Metric**: Total funding amount not publicly disclosed in provided sources; annual revenue not publicly available (private company)
- **Notable Investors/Partners**: Not publicly listed in provided sources (some typical enterprise backers implied by unicorn status)
- **Growth Signals**: Product expansion with AI-native Maia; headcount of 573 employees (Built In, 2026); global presence with offices in UK, US, and India; trusted by thousands of enterprises including Fortune 500 names

## Competitive Advantages
- First-mover in cloud-native data transformation with a decade of experience (pioneered cloud ETL)
- Agentic AI platform (Maia) that redefines manual data work – an early mover in the AI data automation space
- Strong enterprise trust and brand recognition with marquee customers
- Integrated suite covering loading, transformation, CDC, and orchestration in one cloud-based platform

## Strategic Focus
- Accelerate AI adoption in data teams by productizing Maia and embedding AI throughout the platform
- Expand data replication and real-time integration capabilities (CDC)
- Scale globally (dual HQ model) and continue hiring across engineering, sales, and operations
- Maintain culture of “mission first, no ego” while growing headcount

## Why Work Here
- **Culture**: Driven, curious, low-ego environment focused on a bold mission. Six core values guide decisions and behavior.
- **Work model**: Hybrid – flexible combination of remote and on-site work. Offices in Manchester (HQ), Denver, and Hyderabad. Employees expected to be on-site periodically.
- **Perks & benefits**:
  - Equity options for all employees
  - Global healthcare (including life insurance), subsidized for dependents
  - Enhanced vacation leave plus 5 paid volunteering days per year
  - Sabbatical leave (8 weeks after 5 years)
  - Commitment to gender pay equity (UK Gender Pay Gap report published)
- **Hiring process**: Transparent use of AI – AI assists with skill mapping, note-taking, and assessment frameworks, but all final hiring decisions are made by humans. AI fluency is valued and assessed for roles.

## Sources
1. [matillion.com](https://www.matillion.com/)
2. [matillion.com/about](https://www.matillion.com/about)
3. [matillion.com/careers](https://www.matillion.com/careers)
4. [jobs.lever.co/matillion](https://jobs.lever.co/matillion)
5. [builtin.com/company/matillion](https://builtin.com/company/matillion)

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