openleverjobgether
Staff Software Engineer - Full Stack
Jobgether
LocationIndia
EmploymentFull-time
Posted2026-08-25T04:48:03.991000+00:00
Last observed2026-08-26 21:51:40.410433
Job idjobgether-jobgether:lever:8ed6be18-a4c5-4e2a-8d62-0b39b3a3dbef
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Software Engineer – Full Stack based in India. This is a senior technical leadership opportunity within a fully remote engineering environment focused on building secure, scalable enterprise software. You will own the architecture and technical direction of large-scale distributed applications while remaining deeply hands-on in software development. The role centers on Python backend engineering, with opportunities to contribute to Java services and modern full-stack capabilities. You will influence engineering standards, mentor other engineers, and drive improvements across reliability, security, automation, and developer experience. Modern cloud infrastructure and AI-assisted development tools are integral to the engineering environment. The position offers broad technical ownership, strong cross-functional collaboration, and the opportunity to shape systems used by organizations worldwide. Own the architecture, design, and technical direction of large-scale, distributed enterprise applications. Design and develop scalable, secure, highly available backend services, primarily using Python, while contributing to Java-based services. Drive architectural decisions, technical strategies, engineering standards, and long-term platform improvements across teams. Build and evolve distributed systems using microservices, event-driven architectures, REST APIs, and modern software engineering practices. Champion software craftsmanship through clean architecture, automated testing, application security, observability, and operational excellence. Mentor engineers through technical guidance, architecture discussions, design reviews, and code reviews. Leverage AI-assisted engineering tools and workflows to accelerate development, automate repetitive activities, and improve software quality and engineering productivity. Drive improvements to developer experience, platform capabilities, automation, system reliability, and operational efficiency. Design and operate cloud-scale applications with a strong focus on resilience, security, scalability, and availability. Collaborate across engineering and other functions to translate business and customer needs into pragmatic technical solutions. Requirements Bachelor’s or master’s degree in Computer Science, Software Engineering, or a related discipline, with 8+ years of professional software engineering experience. Strong expertise in Python backend development, with good working knowledge of Java. Deep understanding of distributed systems, microservices, event-driven architectures, REST APIs, and modern software architecture principles. Hands-on experience with at least one major cloud platform such as AWS, Azure, or GCP. Practical experience with Docker, Kubernetes, Infrastructure as Code, CI/CD pipelines, Linux, observability, production troubleshooting, and application security. Experience working with relational and NoSQL databases, messaging systems, caching technologies, and asynchronous processing. Proven ability to design scalable, resilient, secure, and highly available enterprise-grade systems. Experience using AI development tools such as GitHub Copilot, Claude, Cursor, ChatGPT, or similar technologies to improve engineering productivity while maintaining strong quality and security standards. Experience with React, TypeScript, GraphQL, or enterprise SaaS platforms is a plus. Exposure to AI/LLM-powered applications, developer productivity platforms, or open-source projects is desirable. Strong architectural thinking and the ability to balance long-term technical strategy with pragmatic execution. Demonstrated technical leadership, mentoring, ownership, and cross-functional collaboration skills. Excellent communication skills and the ability to influence technical decisions through expertise and clear reasoning. Curiosity, adaptability, and enthusiasm f
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