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About The Role At Abnormal AI, we are on a thrilling mission to safeguard the world's largest enterprises against a vast range of relentless email and collaboration application cyber security attacks. Our relentless pursuit involves crafting an exceptional suite of products that empowers customers to seamlessly visualize, expertly control, and fearlessly combat cyber-security threats. The Multi-Product Platform (MPP) organization owns the product platform that enables scalable product development, helping the business build and launch enterprise-grade products with a consistent customer experience. This is a chance to build the data backbone that every Abnormal product depends on. As a Software Engineer on MPP, you'll create the standardised data layer that becomes our single source of truth — the one governed path through which any system, agent, or interface can reach data from across every product, from a single record to cross-product aggregates, online or offline, in whatever shape it needs. It's a genuinely hard, high-leverage problem: the layer has to serve the entire platform at high throughput and low latency without ever becoming the bottleneck, while enforcing tenant isolation, authentication, and fine-grained access control so every team inherits strong security and reliability for free. You won't be maintaining someone else's system — you'll be defining the foundation every product is built on, where getting it right compounds across the whole company. If you're energized by 0→1 platform work, driving cross-team standards, and owning a system end-to-end, this role is built for you. What You'll Do Technical Delivery & Operational Excellence Design, build, and iterate on the APIs and services that make up the standardized data access layer. Drive adoption of API-gated data sources, so product teams expose their data once and every consuming surface can reuse it, instead of building one-off integrations. Design and implement standard labeling for data ownership, and build the validation logic that checks incoming requests against it. Own the reliability and stability of the components and features you build. Contribute to the team's architectural decisions, and write technical design documents for the areas you own. Participate in regular code and design reviews as well as the team-wide on-call rotation. Write code with testability, readability, edge cases, and errors in mind. Teamwork & Collaboration Communicate effectively in an asynchronous manner with team members to provide updates, discuss challenges, and propose solutions. Collaborate closely with product managers, designers, and other engineering teams as they adopt the shared data layer. Take ownership of projects and act as a driver who adds instant adrenaline and drives positive impact when placed on projects and teams. Participate in team roadmap discussions. Actively contribute to knowledge sharing within the team and participate in professional development activities. Must Have Skills Software Engineer with 4+ years of industry experience and strong software engineering fundamentals. Growth-oriented, looking to increase impact, responsibility, and ownership over time. Proven ability to own complex problems and multi-component features end-to-end, with a growing ability to collaborate and influence across teams. Strong experience writing production code in Python and/or Golang, and working with SQL and NoSQL databases. Experience with system design and building reliable, scalable applications with an emphasis on operational excellence. Detail-driven, and care about code quality, testing, and performance. Ability to make practical trade-offs — evaluating multiple approaches and selecting the one that best balances customer impact, system complexity, and long-term maintainability. Able to write technical design documents and contribute to design and architecture reviews. Strong understanding of service health, monitoring, fault tolerance, and incident response practices. Strong communication skills and proven ability to work autonomously and asynchronously with remote collaborators and stakeholders. Shares knowledge with teammates and helps establish team-level patterns and best practices. Nice to Have Skills Experience designing or building data access layers, APIs, or platforms that other engineering teams build on top of. Experience treating an internal platform as a product — building for other engineering teams as your customers. Familiarity with ChatGPT, Cursor, and other GenAI productivity tools. Big Data platform usage is a plus. A note on AI in our process: Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore. They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards. Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here . If you would like more information on your EEO rights under the law, please click here .
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.