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Key Areas of Responsibilities Own monitoring, Kubernetes platform reliability, and SRE operations to ensure highly reliable, available, and performant systems Build, enhance, and maintain monitoring solutions using ITRS Geneos, Prometheus, Victoria-Metrics, Elasticsearch, and Grafana Develop, optimize, and maintain alerting rules, dashboards, and observability pipelines Troubleshoot Linux servers (RHEL 7/8/9), including upgrades, configurations, patching, and maintenance, while determining appropriate monitoring requirements for system changes Analyze logs, investigate issues, and perform fault finding to identify performance exceptions Collaborate with engineering, application, and infrastructure teams to improve system resilience, stability, security, efficiency, and scalability. Operate, maintain, and optimize Kubernetes environments, including cluster health, workload reliability, capacity planning, and platform observability Continuously research and adopt modern monitoring and SRE tools and practices. Requirements Bachelor’s degree or higher in Computer Science / Engineering Around 8-10 years of experience within IT, preferably in site reliability engineering, production support, platform engineering, or investment banking environments Strong experience configuring and maintaining monitoring and observability platforms, including: ITRS Geneos, Prometheus, Victoriametrics, Elasticsearch, Grafana, and Kibana Experience with automation (e.g., Bash, Python, Ansible, CI/CD tools) is a must Hands-on experience building and implementing Prometheus pipelines, including exporters, scraping configurations, relabelling, metric routing, and integrations with long-term storage (e.g., Victoriametrics) Experience building and maintaining Logstash pipelines, including ingestion, parsing, filtering, enrichment, and routing of logs into Elasticsearch Ability to design, build, and maintain Grafana and Kibana dashboards for metrics, logs, and performance analytics across distributed systems Understanding of metrics, logging, alerting, dashboards, and observability pipelines Strong Linux administration skills (RHEL 7/8/9), including troubleshooting, upgrades, configuration, patching, and performance optimization. Good understanding of SRE principles, high availability, scalability, incident management and Disaster Recovery / Business Continuity Planning) activities Experience managing GPU-enabled infrastructure for AI or machine learning platforms is preferred. Strong hands-on experience with Kubernetes, including cluster operations, workload orchestration, troubleshooting, scaling, and production support Understanding of networking fundamentals, performance tuning, and troubleshooting distributed systems Operations with participation in on-call rotations, including after-hours and weekend support Self-motivated, adaptable and able to prioritize, learn continuously and manage multiple responsibilities effectively Excellent in English
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.