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We have an exciting opportunity to join an agile development team working on a top-tier Delta One platform that empowers the front office to create, manage, and report on equities-based baskets. You will collaborate with other skilled engineers worldwide and gain exposure to the entire portfolio management lifecycle. As a Lead Software Engineer at JPMorgan Chase, you serve as a Lead Engineer on our agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will partner with Product Owners, Front Office and Quantitative Research to bring their vision of the next set of critical business functions into reality. Job responsibilities Engineer a suite of performant, scalable and reusable RESTful micro-services and APIs using Python. Championing quality and owning the non-functional requirements. Collaborate with the team to form the sprints that will get us to the MVP and then finally the target state. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems. Act as a Lead developer who will help set direction and best practice around automated testing, platform framework, SDLC as well as acting a point of contact for more junior developers to give them guidance on best practices through mentoring. You will also collaborate with other backend developers to get involved with code reviews and building up our suite of microservices components to facilitate faster development. Close collaboration with a number of teams including Trading, Sales, Quantitative Research, as well as other technology teams. Required qualifications, capabilities, and skills Commercial experience working with Python (5y+). Experience building and maintaining a microservices architecture. Knowledge of the Python web frameworks (e.g. Flask, Tornado, Bottle) and OO databases (e.g. mongo-db). Experience in developing, debugging and automated testing (e.g. PyUnit) within a commercial setting Solid understanding of CI/CD (e.g. Jenkins), Application Resiliency, and Security Experience collaborating with frontend technology teams in designing scalable and reusable RESTful APIs Preferred qualifications, capabilities, and skills Exposure to python libraries such as pandas, scipy and numpy Exposure to python concurrency through python multiprocessing would be advantageous. Exposure to grid computing concepts would be advantageous. Working within Investment Bank / Finance Technology
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.