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What You'll Do Design, implement, and maintain observability solutions using Datadog and related monitoring technologies. Configure and manage dashboards, alerts, APM, metrics, logs, and distributed tracing. Monitor and optimize Kubernetes-based, containerized, and microservices-driven applications. Integrate observability tools into AWS cloud environments and cloud-native services. Build and maintain API integrations to support monitoring and platform automation. Integrate observability into CI/CD pipelines to improve deployment visibility and operational insights. Automate monitoring, operational workflows, and repetitive tasks using Python and other scripting languages. Install, configure, and maintain Datadog agents, integrations, and secure platform configurations. Manage API keys, user roles, permissions, and access controls within observability platforms. Collaborate with engineering, DevOps, and infrastructure teams to improve platform reliability and performance. Lead proactive maintenance initiatives and continuous platform improvements to enhance scalability, stability, and operational efficiency. Troubleshoot production issues and implement long-term reliability improvements across distributed systems. What You'll Need 5+ years of experience in Software Engineering, Site Reliability Engineering, or Platform Engineering. Strong proficiency in Python, JavaScript (Node.js), or Java. Hands-on experience designing, consuming, and integrating RESTful APIs. Strong experience working with Kubernetes, including deployment, operations, and monitoring. Experience with Datadog (preferred) or similar observability platforms such as Prometheus and Grafana. Strong understanding of application performance monitoring (APM), logging, metrics, tracing, dashboards, and alerting. Experience monitoring containerized and microservices-based architectures. Hands-on experience with AWS cloud services and cloud-native infrastructure. Experience integrating observability platforms into AWS environments. Experience integrating monitoring and observability into CI/CD pipelines. Strong scripting and automation skills, with Python preferred. Demonstrated ownership of platform reliability, scalability, and performance improvements. Proven ability to lead maintenance activities and drive continuous operational enhancements. Strong communication and collaboration skills in distributed, cross-functional teams. Nice to Have Experience owning and operating internal engineering platforms. Familiarity with Go (Golang). Experience with additional observability platforms such as New Relic, Dynatrace, Elastic, or Splunk Observability. Experience working within highly available, cloud-native production environments. Experience supporting globally distributed engineering teams, preferably with APAC/JST time zone overlap
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.