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Company Description We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (15000+ experts across 26 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! Job Description 8+ years of software/platform engineering, with demonstrated technical leadership of a team or major workstream Expert in TypeScript/JavaScript (Node.js) and strong in Python Deep AWS experience and production Terraform/IaC skills Expert with GitHub Actions and CI/CD pipeline design; strong Git/GitHub fluency (GitHub Enterprise/EMU a plus) Solid grounding in DevSecOps — SAST/SCA, dependency and vulnerability remediation, secrets management Comfortable in Linux/shell, Docker, and operating production services (on-call, incident/change management) Excellent written communication — this team documents heavily (runbooks, playbooks, PRRs) AI Skills & Knowledge (required) Daily, fluent use of AI coding assistants — Claude Code and/or GitHub Copilot — for implementation, refactoring, test generation, and code review Ability to establish team standards for AI-assisted development: effective prompting, when to trust vs. verify generated code, security/IP guardrails, and reviewing AI-authored changes Working understanding of LLM fundamentals — context windows, tokens, model selection, and prompt/context engineering Experience integrating AI into developer workflows and agentic/automation tooling (e.g., MCP servers, AI-driven CI steps, codegen and doc-generation pipelines) Able to evaluate AI tooling pragmatically — measuring real productivity and quality impact, not hype Nice to have Azure secure-access patterns; AWS session-manager / IAM (ALKS) experience Building developer platforms / internal paved-road tooling at scale Qualifications Must have skills: DevOps - AWS (Expert), DevSecOps, GitHub Actions (Expert), Node JS, Python (Strong)
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.