🎁 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 →
About Us At 360 Privacy, we build proactive digital security tools to protect high-risk individuals, from senior executives to public figures and their families. Our platform removes personal data exposure across the open web, deep web, and dark web through a combination of human expertise and large-scale automation. Trusted by 40 of the Fortune 100, we're scaling rapidly and investing heavily in our core engineering platform: the backend systems, APIs, and AI-integrated infrastructure that power discovery, monitoring, and removal workflows at scale. Who We're Looking For We're hiring a Staff Backend Engineer on our Core team to design, build, and own the backend systems and APIs that power our platform. This is a senior individual contributor role with a Principal trajectory, meaning real architectural ownership, not implementation of someone else's decisions. The right candidate thinks in systems and consequences. You've owned backend platforms where the data was genuinely sensitive, you've made architectural decisions you had to live with, and you're comfortable saying "we should not do this" when necessary. You write Python continuously and recently, you know AWS deeply, and you have strong opinions about reliability earned through experience. What You'll Do Design, build, and own production-grade REST APIs and backend services. Architect and maintain scalable, secure backend systems with clear ownership of trade-off decisions and long-term maintainability. Ensure high performance and responsiveness of applications across the platform. Collaborate with front-end developers and cross-functional teams to integrate user-facing elements with server-side logic. Mentor engineers and contribute to engineering standards, documentation, and architectural direction in a collaborative, low-ego environment. Troubleshoot and resolve production issues as they arise. Partner with Product, Security, and Data teams to translate ambiguous requirements into durable backend platforms. Make principled decisions about when architectural approaches are inappropriate, particularly in security- or compliance-sensitive areas. Requirements Proven experience designing, building, and owning production-grade REST APIs at scale. Hands-on production experience with core AWS services including ECS, RDS, Lambda, S3, SQS, and IAM. Demonstrated ability to make and own architectural decisions on production backend systems, including trade-off analysis and long-term maintainability. Proficient with recent, continuous production experience using Python as a primary language (not occasional scripting or secondary usage). Proficient in working with SQL databases in production environments. Experience with CI/CD pipelines and tools including GitHub Actions, Jenkins, or equivalent, with hands-on ownership of pipeline configuration and deployment automation. Demonstrated experience mentoring engineers and contributing to engineering standards, documentation, or architectural direction. Experience and willingness to learn and adapt to AI prompt engineering. U.S. residency required Advanced proficiency in English This role requires advanced proficiency in English to effectively communicate complex information with team members and stakeholders, and to complete job-related documentation and collaboration tasks. We welcome applicants from all backgrounds and are committed to providing reasonable accommodations where applicable. Preferred Qualifications Hands-on experience building and deploying production APIs with FastAPI. Experience with Kubernetes for container orchestration. Production experience with PostgreSQL including schema design, query optimization, and migrations. Experience building systems that handle sensitive or regulated data, such as PII, PHI, or data subject to compliance frameworks like HIPAA, PCI-DSS, FedRAMP, or SOC2. Experience and flexibility using IDEs like PyCharm and VS Code with AI integration. Why Join Us Impact: Build backend infrastructure that protects real people from real-world risks. Culture: High ownership, low-ego engineering team that values correctness, reliability, and clarity. Longevity: Influence the direction of a core platform built to last years, not quarters. Growth: Competitive salary, benefits, and continuous learning opportunities. Unique perk: Digital privacy protection for you and your family. #hybrid #nashville #python #engineering
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.