Sr. Staff Software Development Engineer at Jobgether

, , India -

Full Time

Start Date

Immediate

Expiry Date

13 Oct, 26

Salary

0.0

Posted On

15 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Rust, Distributed Systems, AI Security, Systems Programming, Linux Internals, gRPC, Kubernetes Networking, Asynchronous Programming, Cloud-native Security, Performance Optimization, C++, C, Protobuf, CI/CD, TCP/IP, LLM Security

Industry

Internet Marketplace Platforms

Description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Staff Software Development Engineer based in India. This role offers the opportunity to shape the future of AI security by designing and building highly scalable distributed systems. You will work on foundational infrastructure that protects users and applications in a rapidly evolving digital landscape. The position focuses on advanced systems engineering, performance optimization, and cloud-native security solutions. You will collaborate with talented engineers and cross-functional teams to deliver innovative, high-impact technologies. The environment encourages ownership, technical leadership, continuous learning, and solving complex engineering challenges. This is an ideal opportunity for an experienced engineer passionate about AI, cybersecurity, and building reliable systems at global scale. \n Accountabilities: As a Sr. Staff Software Development Engineer, you will be responsible for architecting, developing, and optimizing advanced AI security infrastructure while driving technical excellence across complex engineering initiatives. Design, develop, and optimize low-latency, high-throughput AI security platforms using Rust and modern asynchronous programming frameworks. Build resilient, distributed systems focused on scalability, reliability, concurrency, and fault tolerance. Develop and maintain gRPC-based services and APIs to support seamless communication between security platforms and orchestration systems. Improve system performance across the technology stack, including profiling and optimization of user-space and kernel-space components. Lead complex technical projects by defining architecture strategies, technical roadmaps, and execution plans. Collaborate with engineering teams and stakeholders to deliver secure, scalable, and high-quality solutions. Drive innovation in AI security by applying modern engineering practices and emerging technologies. Contribute to improving engineering standards, processes, and best practices across the organization. Requirements: The ideal candidate is an experienced software engineer with strong expertise in systems programming, distributed architectures, and AI-driven security technologies. 8+ years of software engineering experience with a strong background in large-scale systems development. Deep expertise in Rust programming, including asynchronous frameworks such as Tokio or async-std. Proven experience designing and implementing highly available, scalable, and observable distributed systems. Strong understanding of Linux internals, including kernel/user-space interactions, networking, sockets, namespaces, and performance analysis. Experience with containerized environments, Git workflows, and CI/CD pipelines. Solid understanding of AI/ML technologies and experience applying or securing AI-driven solutions. Knowledge of real-time threat detection, LLM security, input/output sanitization, or AI application protection is highly valued. Strong experience with systems programming languages such as Rust, C, or C++ and performance optimization techniques. Familiarity with Kubernetes networking, service meshes, L4-L7 networking protocols, TCP/IP, TLS, QUIC, HTTP, and WebSockets. Experience working with gRPC and Protobuf-based communication systems. Ability to operate effectively in ambiguous environments with strong ownership and problem-solving skills. Excellent collaboration, communication, and technical leadership abilities. Benefits: Competitive salary package and comprehensive employee benefits. Hybrid work flexibility with an environment designed for collaboration and innovation. Access to healthcare and wellness programs supporting employees and their families. Paid vacation, sick leave, and parental leave options. Retirement benefits and long-term financial support programs. Opportunities for continuous learning, professional development, and career growth. Exposure to cutting-edge AI security technologies and large-scale engineering challenges. Opportunity to work with talented global teams on impactful cybersecurity solutions. \n How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Responsibilities

Architect and develop high-performance, scalable AI security infrastructure using Rust and distributed systems. Lead technical roadmaps and optimize system performance across user-space and kernel-space components.