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What project we have for you Our customer is a multinational corporation with more than a century of history and offices in over 180 countries. Their most ambitious goal at the time is to introduce a range of Reduced-Risk Products (RRPs). The target audience is more than 1 billion consumers around the globe. IT platform hosts 700+ applications. Intellia’s mission is to help the client with the engineering of a comprehensive software ecosystem for a game-changing IoT product on the margin of innovative consumer experience and cutting-edge technology. Our teams are involved in the engineering of core platform components for best-in-class eCommerce, Digital Marketing and IoT solutions. As an Engineer, you will become a part of Core Architecture Team and be responsible for the architecture, implementation of best practices in our Digital Engineering Enterprise Platform. The Platform is a set of services and internet applications that accelerate the development and delivery of software applications by taking care of common SDLC challenges. The Platform provides access and consumption for engineering teams to a set of services, technologies, practices for their development and for operating their application, ensuring a set of compliance and best practices. What you will do Design and implement observability solutions for AI platforms, agent-based systems, and distributed cloud-native applications. Instrument Python services using OpenTelemetry SDK and AWS Distro for OpenTelemetry (ADOT). Develop and maintain distributed tracing solutions using AWS X-Ray and OpenTelemetry. Configure telemetry collection, propagation, and export pipelines across AWS environments. Implement and maintain CloudWatch dashboards, metrics, logs, and alerting strategies for operational visibility and troubleshooting. Establish monitoring standards for AI agents, tool invocations, workflow execution, and service-to-service communication. Integrate observability capabilities with AWS AgentCore Observability and related platform services. Ensure proper W3C Trace Context and Baggage propagation across applications, APIs, and agent workflows. Instrument LangChain-based applications and AI services to capture traces, metrics, and execution insights. Partner with AI engineers and platform teams to identify performance bottlenecks, reliability issues, and optimization opportunities. Build structured logging and telemetry standards that support debugging, root-cause analysis, and operational governance. Contribute to observability best practices, platform standards, and engineering guidelines for AI and cloud-native systems. What you need for this Skills: • AWS Distro for OpenTelemetry (ADOT) • OpenTelemetry SDK (Python) • AWS AgentCore Observability • AWS CloudWatch (Metrics, Logs, Structured Logs) • AWS X-Ray (distributed tracing) • LangChain instrumentation • W3C Trace Context and Baggage propagation Experience: • 4+ years of observability engineering • OpenTelemetry instrumentation of Python services • AWS CloudWatch and X-Ray integration Nice to have: • LangGraph or Strands agent framework • OpenTelemetry GenAI SIG semantic conventions • ADOT collector configuration and export pipeline setup What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.
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.