🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
ResponsibilitiesDesigning and developing cloud-based applications to optimize data solutions for clientsCollaborating with product and project managers to drive efficient solutions within known constraintsPlanning and executing cloud automation strategies to enhance application performanceTroubleshooting and testing cloud services to validate seamless deployment and functionalityTransforming raw data into actionable insights to support informed decisionmaking and business growthLeveraging advanced technologies and techniques to develop robust data solutionsBuilding meaningful client connections and anticipating the needs of teams and clientsNavigating complex situations to grow personal brand and deepen technical skillsUpholding professional and technical standards in alignment with firm guidelines and code of conductDesign, build, and maintain cloud infrastructure across AWS(primary) and Azure, with the ability to work in multi-cloud setups.Develop and manage CI/CD pipelinesto enable seamless, automated deployments for data and AI applications.Implement Infrastructure as Code (IaC)to provision and manage cloud resources consistently and repeatably.Monitor, troubleshoot, and optimize cloud environments for performance, cost, and security.Collaborate with Data Engineers, Data Scientists, and AI/ML teams to ensure infrastructure supports their workflows (model training, data pipelines, etcWhat You Must HaveAt least a Bachelor's degreeAt least 5 years of experienceOral and written proficiency in English requiredWhat Sets You ApartUtilizing cloud applications, services, and deployment modelsImplementing cloud automation and consulting strategiesExcelling in communication and creativityDemonstrating learning agility and self-awarenessNavigating complex client relationships effectivelyAnticipating team and client needs proactivelyUpholding professional and technical standards consistentlyMulti-cloud experience required; strong preference for AWSandAzure.Hands-on experience supporting data platforms or AI/ML workloadsis a strong plus.Relevant certifications (AWS Solutions Architect, Azure DevOps Engineer, CKA, Terraform Associate) are a plus but not mandatory. .
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.