Description review

DevOps Engineer - Contract

Lingaro · India · back to the listing

HR standards

53/100

needs work

Title ↔ description

85/100

strong

Reads as

DevOps Engineer

96% confident

What this role officially is

ICT system administrator — ESCO, the EU occupation classification

ICT system administrators are responsible for the upkeep, configuration, and reliable operation of computer and network systems, servers, workstations and peripheral devices. They may acquire, install, or upgrade computer components and software; automate routine tasks; write computer programs; troubleshoot; train and supervise staff; and provide technical support. They ensure optimum system integrity, security, backup and performance.

Also known as: enterprise administrator, IT system administrator, ICT systems administrator, ICT sysadmins, IT systems administrator, ICT sysadmin

How others title the same work

Large employers

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Startups

  • Ecosmic | Senior DevOps Engineer | Remote (Italy) | €50,000–€60,000 Ecosmic
  • 3C Digital Solutions | Terraform Module Developer 3C Digital Solutions
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  • BCC | Platform Systems Engineers | Bethesda MD | Competitive compensation! BCC
  • DevOps Engineer Cyble

What the listing never says

  • 19 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

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.

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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.

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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.

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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.

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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.

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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.

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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.

Originally posted on Himalayas

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 8 points (from 61 before penalties). Reviewed 21 Sep 2026.