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About the Role Token Security, a leading platform for Non-Human Identity (NHI) management, is seeking a highly skilled Backend Engineer to join our dynamic team. The ideal candidate will have expertise in Backend technologies, with a strong focus on cloud infrastructures and event-driven architecture. This role will be central to developing and maintaining robust, scalable, and high-performance solutions that secure machine and non-human identities in cutting-edge ecosystems. What You’ll Do Design, develop, and maintain efficient and scalable cloud-native backend systems with a focus on securing token-based and machine identities. Build and enhance API integrations with third-party applications to facilitate secure data collection and sharing. Own the architecture of NHI agent services, ensuring scalability, networking efficiency, robust security, and data storage optimization. Develop advanced monitoring and automation tools to maintain system stability and deliver performance benchmarks. Design and implement big data solutions and pipelines for large-scale data processing and analytics using tools like Spark and Snowflake. Take ownership of projects, driving them end-to-end from ideation and design to development, deployment, and maintenance. Work collaboratively with cross-functional teams to define, design, and launch innovative features tailored to the NHI ecosystem. Drive a customer-first mindset by understanding the users' needs and developing solutions that exceed expectations. What You’ll Bring 6+ years of experience as a Backend Engineer, with a track record of building and maintaining scalable backend systems. Expertise in event-driven architecture and building microservices for large-scale applications. In-depth knowledge of cloud platform services (AWS preferred, GCP/Azure experience is a plus). Practical experience with containerized environments Familiarity with queuing and messaging systems, such as SQS, Kafka, or RabbitMQ. Strong understanding of security best practices, particularly in securing token-based systems and non-human identities. Bonus: Familiarity with Python, TypeScript, CI/CD pipelines, and infrastructure-as-code tools like Terraform. Join us in shaping the future of Token security and redefining the standards for managing non-human identities
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.