Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Identity Security Posture Management (ISPM) Team At ISPM (formerly Spera Security), we are revolutionizing identity security for modern organizations. Our platform provides security leaders with end-to-end contextual visibility into their identity landscape—reducing risk, enhancing operational efficiency, and ensuring continuous compliance. We’re a fast-moving, high-impact team looking for an exceptional Staff Software Engineer to help shape the future of identity security and platform architecture. Hybrid work - 3 days a week from the office. What You’ll Be Doing As a Staff Software Engineer, you will serve as a technical authority and play a pivotal role in scaling our core platform. Your focus will span architecture, security research, and engineering excellence: Lead & Architect: Design, build, and scale high-performance software while driving architectural best practices across the R&D organization. Security & AI Innovation: Drive deep-dive research into cloud, SaaS ecosystems, and AI agents to build proactive detection models, mitigation strategies, and threat intelligence. Engineering Excellence: Elevate code quality, testing standards, system monitoring, and documentation across teams. Cross-Functional Ownership: Partner closely with Product and R&D to translate complex security requirements into scalable technical solutions. Scale & Optimize: Identify and resolve systemic performance bottlenecks and architectural challenges.
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Role overview
Job description
As a Software Solution Architect, NVIS at NVIDIA, you will lead the transformation of AI infrastructure. Our NVIS team focuses on developing the next generation of NVIS Central, an agentic software platform with tools, services, and AI agents that automate, simplify, and speed up the work of our delivery organization. This role offers an outstanding chance to create and build LLM-powered agents that improve execution visibility, cut down manual tasks, and standardize workflows. These efforts allow NVIS to grow quickly and with high quality. Join us to bring up, validate, optimize, and upgrade large-scale AI Factory infrastructure for some of the world’s most advanced accelerated computing environments!
What you'll be doing:
Compose, build, and productionize agentic AI solutions, tools, and applications for the NVIS delivery organization.
Develop LLM-based agents, skills, tool-calling workflows, orchestration logic, backend services, APIs, data pipelines, and automation features as part of NVIS Central.
Translate field, delivery, operations, and product needs into clear technical builds, agent workflows, and working software.
Develop agents that can reason across project data, knowledge bases, operational systems, logs, reports, and delivery workflows.
Build workflows that help NVIS teams identify risks, summarize project status, automate repetitive tasks, improve readiness visibility, and simplify handoffs.
Work with timely engineering, retrieval-augmented generation, context management, agent memory, function calling, evaluations, and guardrails to build reliable AI systems.
Integrate LLMs and agents with internal systems, project data sources, knowledge repositories, reporting tools, and operational workflows.
Collaborate closely with software developers, architects, product managers, DevOps/SRE, and NVIS field teams to successfully implement reliable and scalable solutions.
Contribute to engineering guidelines, including code quality, testing, CI/CD, observability, documentation, security, and production support.
What we need to see:
B.Sc. degree or equivalent experience in Computer Science, Computer Engineering, or a related technical field.
2+ years of hands-on software development experience building production applications, platforms, automation tools, or AI-based systems.
Strong programming experience with Python and modern backend development.
Hands-on experience working with LLMs, agentic workflows, timely composition, tool/function calling, RAG, and AI application development.
Experience crafting and implementing RESTful APIs, data services, workflow automation, and integrations with enterprise systems.
Experience building reliable software around non-deterministic AI systems, including testing, evaluation, monitoring, and failure handling.
Experience with Docker, Kubernetes, CI/CD, Git, observability, and cloud-native development practices.
Background with SQL and NoSQL databases, data modeling, querying, indexing, and data integration.
Excellent problem-solving skills, ownership attitude, and ability to operate in a fast paced, cross-functional environment.
Ways to stand out from the crowd:
Experience building agent platforms, copilots, multi-agent systems, tool-calling workflows, evaluation frameworks, or MCP-style integrations.
Deep understanding of LLM application patterns such as context engineering, retrieval quality, timely/version management, agent planning, human-in-the-loop workflows, and AI safety guardrails.
Experience with AI infrastructure, HPC clusters, NVIDIA DGX systems, SuperPOD, Spectrum-X, Ethernet, InfiniBand, Kubernetes, or SLURM.
Experience in automating workflows related to field, delivery, operations, or professional services.
Strong Linux, networking, security, SRE, or distributed systems background.
What they are looking for
Skills & requirements
Qualification
This role offers an outstanding chance to create and build LLM-powered agents that improve execution visibility, cut down manual tasks, and standardize workflows; Develop LLM-based agents, skills, tool-calling workflows, orchestration logic, backend services, APIs, data pipelines, and automation features as part of NVIS Central; degree or equivalent experience in Computer Science, Computer Engineering, or a related technical field; Deep understanding of LLM application patterns such as context engineering, retrieval quality, timely/version management, agent planning, human-in-the-loop workflows, and AI safety guardrails
Hiring company
Nvidia
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