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As a Staff Software Engineer in the Video AI Team at Warner Bros. Discovery, you will play a crucial role in supporting applications of AI to videos. Your responsibilities will include:- Designing and leading the development of core components of the machine learning platform with a focus on scalability, reliability, and cloud-agnostic principles- Building APIs and microservices to power end-to-end machine learning workflows, including model deployment, orchestration, and observability- Collaborating with content protection and security teams to ensure robust access controls and compliance- Owning cloud infrastructure and CI/CD automation using Infrastructure-as-Code (IaC) principles- Championing engineering excellence through well-tested code, transparent documentation, and continuous improvement of development and deployment practices- Establishing and enforcing best practices in testing, code quality, and monitoring for ML pipeline components- Working closely with AI engineers and product managers to support evolving use cases like scene segmentation, video annotation, clip generation, and metadata enrichmentQualifications required for this role include:- 9-12 years of software engineering experience building scalable backend systems- Deep experience with cloud platforms (AWS, GCP) with the ability to design for cloud-agnostic deployment- Experience working with production deployment of machine learning systems- Proficiency in Python and experience in JS framework, with strong software design and architecture skills- Proven experience implementing and managing CI/CD workflows- Familiarity with Agile development practices and a solid operational mindset- Experience in building and maintaining observability stacks (e.g., Prometheus, Grafana, OpenTelemetry)- Experience collaborating in a cross-functional team and setting engineering standards at scaleAt Warner Bros. Discovery, you will find a great place to work, equal opportunity for all employees, and fast-track growth opportunities. Warner Bros. Discovery values inclusion and diversity, aiming to build a workforce that reflects a wide array of perspectives, backgrounds, and experiences.If you are a qualified candidate with a disability and require adjustments or accommodations during the job application and recruitment process, please visit Warner Bros. Discoverys accessibility page for instructions on how to submit your request. As a Staff Software Engineer in the Video AI Team at Warner Bros. Discovery, you will play a crucial role in supporting applications of AI to videos. Your responsibilities will include:- Designing and leading the development of core components of the machine learning platform with a focus on scalability, reliability, and cloud-agnostic principles- Building APIs and microservices to power end-to-end machine learning workflows, including model deployment, orchestration, and observability- Collaborating with content protection and security teams to ensure robust access controls and compliance- Owning cloud infrastructure and CI/CD automation using Infrastructure-as-Code (IaC) principles- Championing engineering excellence through well-tested code, transparent documentation, and continuous improvement of development and deployment practices- Establishing and enforcing best practices in testing, code quality, and monitoring for ML pipeline components- Working closely with AI engineers and product managers to support evolving use cases like scene segmentation, video annotation, clip generation, and metadata enrichmentQualifications required for this role include:- 9-12 years of software engineering experience building scalable backend systems- Deep experience with cloud platforms (AWS, GCP) with the ability to design for cloud-agnostic deployment- Experience working with production deployment of machine learning systems- Proficiency in Python and experience in JS framework, with strong software design and architecture skills- Proven experience implementing and managing CI/CD workflows- Familiarity with Agile development practices and a solid operational mindset- Experience in building and maintaining observability stacks (e.g., Prometheus, Grafana, OpenTelemetry)- Experience collaborating in a cross-functional team and setting engineering standards at scaleAt Warner Bros. Discovery, you will find a great place to work, equal opportunity for all employees, and rapid-track growth opportunities. Warner Bros. Discovery values inclusion and diversity, aiming to build a workforce that reflects a wide array of perspectives, backgrounds, and experiences.If you are a qualified candidate with a disability and require adjustments or accommodations during the job application and recruitment process, please visit Warner Bros. Discoverys accessibility page for instructions on how to submit your request. .
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.