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The AWS Security Assurance Engineering (SAE) team's mission is to build and enhance mechanisms which continuously demonstrate that AWS meets and exceeds the high security and compliance bar expected by our customers, regulators, and auditors. We achieve this by proactively engaging service and control owners to identify, monitor, and drive remediation of risks across AWS. Our team builds tools and services that scale these capabilities globally — creating efficiencies for our teams while maintaining transparency for our customers. As a Business Intelligence Engineer on the Data Engineering and Analytics team, you will build analytics solutions that directly impact decision-making across AWS Security. You'll own the development of essential metrics and measurement frameworks, design automated pipelines that handle data analysis at scale, and apply modern analytics techniques — including AI-assisted tooling and predictive capabilities — to surface insights that were previously out of reach. We're looking for someone who transforms complex data into clear, actionable intelligence and communicates it effectively to stakeholders at every level. This role offers startup-like autonomy with enterprise impact: you'll challenge conventional approaches to analytics, explore emerging AI-driven methods to accelerate insight delivery, and build solutions that directly shape how security leaders inspect and operate their business. If you're passionate about pushing the boundaries of what data and intelligent automation can do for security, we want to hear from you. Key job responsibilities * Partner with business stakeholders to gather requirements, translate them into analytics solutions, and deliver actionable recommendations that inform decisions. * Design, develop, and deploy production-grade data products — datasets, pipelines, dashboards, and measurement frameworks — with mandatory code reviews, data quality checks, anomaly detection, and monitoring to ensure reliability and reusability at scale. * Apply AI-assisted techniques (e.g., intelligent anomaly detection, predictive analytics, natural-language interfaces) to deliver solutions that go beyond conventional BI approaches. * Proactively identify business improvement opportunities through exploratory analysis and present evidence-based recommendations to leadership. * Collaborate with SDEs, BIEs, Data Engineers, and Data Scientists to transform large, complex datasets into structured, analytics-ready assets that drive business outcomes. * Simplify and modernize existing BI solutions to ensure they scale as business needs evolve. * Contribute to team-wide analytics best practices — sharing methodologies, reviewing peers' work, and raising the bar on tooling and standards. About the team Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why Amazon Security? At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
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.
