---
title: 'DevOps Engineer - Contract at Lingaro'
canonical: 'https://feeny.ai/job/devops-engineer-contract-lingaro-india-d15kf8t3fz8n'
type: 'job'
last_seen: '2026-09-07'
---

# DevOps Engineer - Contract at Lingaro

- **Company:** Lingaro
- **Location:** India
- **Employment:** contract
- **Work type:** remote
- **Posted:** 2026-09-01
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/lingarogroup/fcee6859-e315-410e-8a3a-6926ff2a6a58

## Job description

DevOps Engineer 12 months contract India, Remote

Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.

What You’ll Be Doing:

- Platform Design, Development & Evolution: Architect, build, and continuously evolve the core M&O platform and services, leveraging modern technologies and best practices to provide comprehensive observability and data quality functions.
- Ensuring System Reliability & Performance: Actively maintain and enhance the stability, availability, and performance of critical applications and data infrastructure by integrating Site Reliability Engineering (SRE) principles directly into the platform's design and operation.
- Proactive Issue Detection & Resolution: Develop and integrate intelligent systems within the platform to proactively identify, diagnose, and trigger automated or semi-automated resolution for technical issues, performance bottlenecks, and anomalies across all operational and data systems.
- Advanced Data Quality Platform Implementation: Build and integrate capabilities within the M&O platform for continuously measuring, monitoring, and reporting on all critical data quality dimensions (Timeliness, Consistency, Completeness, Accuracy, Validity, Uniqueness) across diverse supply chain pipelines, including Warehousing, Transformation, SAP, Manufacturing, and other critical data sources.
- Centralized Insights & Dashboarding: Develop and manage a unified dashboarding interface (e.g., Grafana, Power BI, Databricks) within the platform to visualize key performance indicators, system health, operational metrics, financial insights (FinOps), and granular data quality metrics for various stakeholders.
- Automating Infrastructure & Operations: Drive the platform's automation capabilities through Infrastructure as Code (IaC), Continuous Integration/Continuous Delivery (CI/CD) pipelines, and extensive scripting (Python, Shell) for provisioning, deployment, and operational workflows.
- Managing Core Data & Cloud Technologies: Integrate and optimize essential technologies like Fivetran, AKS, Kafka, Azure SQL Server, Databricks, and Flink into the M&O platform, ensuring seamless operation and data flow within the Azure cloud environment.
- Optimizing Cloud Resources & Costs: Embed FinOps practices and reporting into the platform to monitor cloud resource utilization and spending, identifying opportunities for cost reduction and ensuring efficient allocation of infrastructure investments.
- Fostering a Culture of Continuous Improvement: Leverage platform data and SRE practices to continuously analyze operational incidents, performance trends, and data quality issues, driving ongoing enhancements to both the platform and the systems it monitors.
- Enabling Data-Driven Decision Making & Compliance: Ensure the M&O platform provides accurate, timely data and insights, derived from both monitoring and high-quality data across all domains, to support informed business decisions, while also guaranteeing compliance with regulatory requirements for data integrity and auditability.

What We’re Looking For:

- 5+ years of experience in DevOps, Cloud Engineering, or a similar role.
- Strong hands-on experience with Microsoft Azure and cloud infrastructure.
- Experience with Azure Kubernetes Service (AKS) and containerized environments.
- Hands-on experience with CI/CD pipelines and Infrastructure as Code (IaC).
- Strong scripting and automation skills using Python and Shell scripting.
- Experience with Grafana, Prometheus, and observability and monitoring solutions.
- Strong understanding and practical experience with Site Reliability Engineering (SRE) principles.
- Experience with Kafka, Azure SQL Server, Databricks, Flink, and Fivetran.
- Experience with infrastructure automation, system monitoring, performance optimization, and incident management.

## About Lingaro

## Company Overview
- **One-liner**: Global end-to-end data and AI partner to leading brands and enterprises, turning complex data into actionable insights and AI-driven automation.
- **Entity Type**: Privately Held (no public funding disclosures; bootstrapped growth assumed)
- **Headquarters**: Warsaw, Poland
- **Founded**: 2008
- **Founders**: Not publicly available

## Core Business
- **Primary industries**: IT Services and IT Consulting; Data & Analytics; AI Services
- **Target customers**: B2B, primarily large enterprises and global brands, including highly regulated industries (retail, CPG, supply chain, manufacturing)
- **Mission**: Help clients achieve more with data and AI by creating data-driven and AI-augmented experiences that deliver human impact and measurable business outcomes.

## Products & Services
- **Marketing & Commercial Analytics**: Marketing/media effectiveness, sales & channel execution, Revenue Growth Management (RGM), omnichannel commerce & content automation.
- **Intelligent & Resilient Supply Chain**: Demand planning, sensing & forecasting, manufacturing intelligence, inventory optimization, warehouse automation, logistics analytics.
- **Sustainability & Compliance**: Sustainable product intelligence & LCA, decarbonization & net zero pathway, compliance-grade reporting & risk management.
- **AI & GenAI**: Custom AI models, machine learning solutions, automation including GAIA (AI sales & customer support assistant).
- **Data Consulting**: Strategy development, governance frameworks, architecture design.
- **Technology Consulting & Advisory**: Digital transformation guidance, technology roadmaps.
- **Data Visualization**: Dashboards and reporting.
- **Learning Technology & Adoption**: Training programs, user adoption strategies (5x faster adoption with 7 accelerators).
- **Intelligent Operations & Support**: Managed services, 24/7 support, optimization.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Over 1,800 employees worldwide (homepage) / 1,092 according to LinkedIn (+3% YoY)
- **Notable Investors/Partners**: Partnerships with leading hyperscalers (not named); no external investors publicly listed.
- **Growth Signals**:
  - Recognized as a **Leader in ISG Provider Lens 2025** (Advanced Analytics and AI Services across Europe and the US).
  - **Fortune 100 Best Companies to Work For in Europe™** (2024).
  - **Great Place to Work®-certified** in Poland, Philippines, and India (2025).
  - **Best Workplaces™ in Asia** (2024).
  - Supports **75+ leading brands across 30+ countries**.
  - Workforce distributed across 25 countries; operations in 6 countries (Poland, US, Philippines, Singapore, Mexico, Switzerland).
  - Open positions visible on careers page (e.g., Data Engineer, AI DevOps, Supply Chain roles).

## Competitive Advantages
- **End-to-end data & AI services** – from strategy/advisory to implementation, adoption, and managed support.
- **Deep industry expertise** – especially in highly regulated sectors (retail, CPG, supply chain, sustainability).
- **AI adoption framework** – 5x faster adoption via proprietary accelerators and change management.
- **Human-centric approach** – combines design thinking, AI, and human creativity to build user-centric solutions.
- **Global delivery model** – 24/7 support across time zones with strong European roots and global scale.
- **Awards & recognition** – multiple Great Place to Work seals and ISG Leader status validates both workplace culture and service quality.

## Strategic Focus
- **Data and AI readiness** – helping organizations become “data-ready, AI-ready, and future-ready.”
- **Growth in AI & GenAI** – expanding custom model development and automation solutions like GAIA.
- **Supply chain resilience** – intelligent supply chain offerings as a key growth vertical.
- **Sustainability services** – compliance-grade reporting and decarbonization pathways for clients.
- **Geographic expansion** – continues to scale presence in the US, APAC, and Europe.

## Why Work Here
- **Culture**: Great Place to Work®- certified for multiple consecutive years; Fortune 100 Best Workplaces in Europe; Best Workplaces in Asia 2024.
- **Work environment**: Remote and hybrid roles available (e.g., many positions listed as “Remote — Full-time Poland”).
- **Growth & learning**: Strong focus on learning technology and adoption – internal training programs and career development.
- **Global team**: Collaboration across 6 countries and 25 nationalities; exposure to large enterprise clients.
- **Engineering culture**: Heavy emphasis on data engineering, AI/ML, cloud (GCP, Snowflake), and modern tech stacks.
- **Employee rating**: 3.8/5.0 (249 reviews on LinkedIn) with Culture rated 4.0, Work-Life 3.9, Career 3.7.

## Sources
1. [Lingaro Group About Page](https://lingarogroup.com/about)
2. [Lingaro LinkedIn Company Page](https://www.linkedin.com/company/lingaro)
3. [Lingaro Careers Page (Lever)](https://jobs.lever.co/lingarogroup)
4. [Lingaro Group Home Page](https://lingarogroup.com/home)
5. [Lingaro Executive Leadership Page](https://lingarogroup.com/about/executive-leadership-team)

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