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Data Infrastructure Engineer Our client, a high-performance technology-driven trading firm, is seeking a Data Infrastructure Engineer to help evolve and scale the platforms that support large-scale data storage, processing, and distribution across the business. This role is ideal for an engineer who enjoys working deep within Linux environments, optimizing system performance, and building highly reliable infrastructure from the ground up. As data volumes continue to expand, you will play a critical role in designing, automating, and maintaining the storage ecosystem that supports latency-sensitive workloads and data-intensive applications. Responsibilities Architect, deploy, and maintain large-scale storage platforms, including distributed storage systems, object storage solutions, and data lake environments Optimize Linux systems for storage efficiency, throughput, and overall performance Develop and enhance infrastructure automation using tools such as Ansible, Puppet, or similar frameworks Implement monitoring, alerting, and observability solutions to improve platform reliability and operational visibility Collaborate with software and platform engineering teams to deliver scalable data infrastructure solutions Support and enhance data streaming and messaging technologies, including Kafka-based environments Contribute to containerized infrastructure initiatives leveraging Kubernetes and related technologies Requirements 5+ years of experience in infrastructure, systems, or platform engineering with a focus on storage technologies Strong expertise in Linux administration, troubleshooting, and performance tuning Hands-on experience with infrastructure-as-code and configuration management tools such as Ansible or Puppet Knowledge of distributed storage platforms, object storage technologies, and enterprise storage environments Experience supporting large-scale data platforms and big data ecosystems Programming or scripting experience with Python, Java, or similar languages Familiarity with modern observability and monitoring solutions, including Prometheus Experience working within highly automated engineering environments and leveraging AI-assisted development tools Exposure to container orchestration platforms such as Kubernetes Preferred Background Experience supporting large-scale data pipelines, analytics infrastructure, or real-time data environments Familiarity with high-performance computing, low-latency infrastructure, or financial technology environments Understanding of distributed systems architecture and scalability best practices
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.