ABOUT THIS JOB

As a Principal Engineer at Opaque Systems, you will play a critical role in shaping the architecture and driving the technical direction of the core OPAQUE platform, with a focus on the confidential computing infrastructure. You’ll collaborate closely with cross-functional teams to design, develop, and scale solutions for confidential AI. This is an opportunity to solve complex technical challenges while making a significant impact on the development of next-generation technologies.

Key Responsibilities

• Lead the design, architecture, and implementation of core software components for Opaque’s confidential computing platform
• Design, implement, and maintain end-to-end attestation services and infrastructure
• Lead integration of TEE technologies (CNCF CoCo, hyperscaler CC offerings) with OPAQUE's platform
• Design and operate multi-cloud CC deployments at the Kubernetes platform layer — runtime classes, TEE node pools, custom admission controllers, and service mesh security for confidential workloads
• Define and enforce cryptographic standards: key derivation, signing schemes, secure channel establishment, and secrets management within TEE boundaries
• Drive code quality and security review standards across the security engineering team — review at the correctness and side-channel level, not just design
• Collaborate with product, engineering, and AI teams to deliver scalable, high-performance, and secure solutions.
• Drive technical excellence across the engineering team, setting best practices for coding, architecture, testing, and deployment.
• Mentor and guide junior engineers, fostering a culture of continuous improvement and technical innovation.
• Work closely with stakeholders to define technical requirements and ensure alignment with business objectives.
• Optimize system performance, scalability, and fault tolerance while ensuring the security and privacy of data in all phases of computation.
• Stay ahead of industry trends and advancements in confidential AI and confidential computing
• Act as a key decision-maker in technical strategies, contributing to both tactical and strategic goals.

Qualifications

• 10+ years of software engineering experience, with a focus on distributed systems, cloud computing, or security.
• Deep hands-on experience in confidential computing / TEE technologies (e.g., CNCF CoCo)
• Fluency in attestation protocols: attestation quote generation and verification, RATS (RFC 9334), EAT/EAR standards
• Systems programming at production scale in Go and/or Rust; kernel modules, ioctl interfaces, or TEE SDK integration code a strong plus
• Cloud-native platform depth — Kubernetes operators, custom admission controllers, runtime classes, and TEE workload orchestration across multiple clouds
• Cryptographic engineering fundamentals: key hierarchies, AEAD schemes, digital signatures, and the ability to reason about threat models at the hardware boundary
• Expertise in system architecture and design, with a strong understanding of scalability, fault tolerance, and performance optimization.
• Proven track record of delivering large-scale, high-performance, and secure software systems.
• Strong communication skills, with the ability to collaborate effectively across technical and non-technical teams.
• Bonus: Track record of open-source contribution or standards engagement: CNCF CoCo, Project Oak, IETF RATS, or equivalent

ABOUT THIS ROLE

As a Forward Deployed Engineer (AI) at OPAQUE Systems, you are the technical bridge between our enterprise customers and OPAQUE's confidential AI platform. You will work directly with customer engineering teams — from initial architecture review through production deployment — helping them install and deploy OPAQUE in their environment, and build AI solutions (agents / agentic workflows, RAG pipelines, LLM integrations) that run on OPAQUE's confidential AI platform.

This is a hands-on technical role. You will write code, run POCs, architect solutions, and own the customer's path from "interested" to "getting value." You will also be a critical signal source for the product team — the patterns you see in the field shape what OPAQUE builds next.

KEY RESPONSIBILITIES

• Develop custom AI / agentic solutions tailored to customer needs
• Lead technical discovery and architecture scoping with enterprise customers — translate vague AI / agentic aspirations into concrete implementation plans.
• Design and build production-grade solutions for agentic workflows, RAG pipelines, and LLM integrations on OPAQUE's platform.
• Partner with customer engineering teams through production deployment — unblock integration issues, debug failures, and ensure the solution is maintainable.
• Run technical whiteboard sessions, architecture reviews, and POC demonstrations with CTO, CISO, and engineering leader audiences.
• Synthesize field observations into product feedback — use case patterns, integration friction, objections, and feature gaps.
• Build reusable artifacts: integration guides, POC templates, architectural reference designs, and objection playbooks.
• Stay ahead of the AI landscape — agentic frameworks, RAG techniques, LLM capabilities, enterprise AI tooling.

QUALIFICATIONS

• 5+ years of software engineering experience working on production AI/ML systems
• Hands-on experience building agentic workflows: tool use, multi-agent orchestration, memory architecture, agent reliability patterns.
• Deep hands-on experience with RAG pipeline design: chunking strategies, embedding models, vector databases, retrieval quality evaluation, re-ranking.
• Strong Python skills; experience with AI frameworks (LangChain, LlamaIndex, LangGraph, CrewAI, or similar).
• Experience integrating with LLM APIs (OpenAI, Anthropic, Gemini) in enterprise production environments.
• Ability to work directly with enterprise customer teams — comfortable with executive-level technical conversations.
• Strong understanding of enterprise deployment constraints: IAM, data residency, network topology, compliance requirements (SOC 2, HIPAA, FedRAMP).
• Security-aware engineering mindset — understands trust boundaries, data flow, and why cryptographic attestation matters for regulated industries.
• Bonus: Experience with confidential computing, TEEs, or privacy-preserving AI.

Head of Product

Location: Remote (USA preferred) 

AI adoption in the enterprise is no longer blocked by models or compute; it’s blocked by trust. Enterprises want to use their most valuable, sensitive data with AI, but security, privacy, and compliance risk stop meaningful deployment. 

OPAQUE unlocks AI value by making trust verifiable at runtime. We are trusted by world-class customers and partners, including ServiceNow, Anthropic, Accenture, Microsoft, and others across financial services, insurance, and high-tech. We are solving the last mile for AI in the enterprise: enabling organizations to move from pilot to production with cryptographic proof that data, models, and agents remain private, governed, and compliant.

This is a rare opportunity to help define a new category—Confidential AI—at a moment when it’s become mission-critical.

The Role

OPAQUE is hiring a Head of Product to help make OPAQUE a defining AI company and the global leader in privacy.

This role exists to translate enterprise trust requirements into verifiable, adoptable product reality—so customers can unlock AI value faster and responsibly. You will drive product strategy, bring deep technical judgment to critical decisions, and ensure OPAQUE’s product reduces friction and time-to-value for enterprise AI adoption.

This is a senior leadership role with direct impact on category leadership, customer adoption, and company strategy.

What You’ll Do

• Drive product strategy grounded in real customer needs and market signals
• Translate complicated customer trust, privacy, and deployment requirements into concrete product capabilities
• Drive, write and review product requirements leveraging Agile using key JTBD and personas and work with UX design leads to drive user experiences that are intuitive
• Ensure OPAQUE reduces friction and time-to-value for enterprise AI adoption
• Bring strong technical judgment to product and architectural tradeoffs
• Partner closely with engineering on technically deep, enterprise-grade systems
• Create the clarity that enables effective execution and repeatable adoption

What We’re Looking For

Required

• 10+ years leading product for complex B2B or enterprise software
• Proven ability to turn complex customer requirements into shipped products
• Strong technical experience and judgement across AI systems, security, privacy, and enterprise infrastructure
• Experience driving product strategy—not just roadmap execution
• Comfort making high-stakes decisions under ambiguity
• Experience with AI infrastructure, GenAI, RAG, data platforms, or security-sensitive systems

• Bonus: experience operating in regulated or high-trust environments

Overview

We are seeking an exceptionally technical and hands-on Sr Engineering Managerto lead our Infrastructure Foundation team. This role is ideal for a senior engineer who has scaled systems in production, built resilient infrastructure platforms, and has a proven track record of managing and mentoring engineers. You will drive strategy, architecture, and execution for our infrastructure and developer tooling, ensuring our systems are reliable, secure, and efficient at scale. The role is highly technical and requires hands-on experience in Azure, GCP or AWS and has fundamental requirements in understanding networking architectures, Kubernetes, Docker, agile, automated testing for infrastructure and team leadership.  You will lead a team of devops and platform engineers focused on kubernetes, confidential compute, cloud and building infrastructure as code platform as a primary responsibility. 

Key Responsibilities

• Leadership & Management
  
  
• Lead, mentor, and grow a team of infrastructure, DevOps engineers focused on platform components based on Kubernetes
  
  
• Balance technical leadership with people management: conduct 1:1s, performance reviews, and career development planning.
  
  
• Collaborate cross-functionally with Product Growth teams, leadership, and Engineering teams to ensure alignment on foundation priorities in a dynamically  changing startup environment.
  
  
• Infrastructure & Operations
  
  
• Own the design, implementation, and maintenance of cloud infrastructure (AWS/GCP/Azure) and build for scale, resilience and security
  
  
• Ensure scalability, availability, and performance of systems across distributed, mission-critical environments for production, development and sandbox environments
  
  
• Drive automation initiatives to eliminate toil and improve efficiency in infrastructure and developer workflows.
  
  
• Oversee on-call operations, incident response, and root cause analysis, improving mean time to recovery (MTTR) and drive to key KPIs ( DORA or similar)
•  
• Manage cloud costs and drive architectures to manage and maintain cloud costs
  
  
• DevOps & Platform Engineering
  
  
• Build and maintain CI/CD pipelines to accelerate development velocity while ensuring security and compliance.
  
  
• Develop and enforce Infrastructure-as-Code practices (Terraform, Pulumi, CloudFormation, Helm and Azure marketplace automation and deployments).
  
  
• Drive observability: logging, monitoring, metrics, tracing, and alerting best practices.
  
  
• Understanding of security considerations in AWS,Azure,GCP and partner with Security to harden infrastructure and implement compliance frameworks (SOC2, ISO27001, HIPAA, etc.).
  
  
• Technical Strategy & Execution
  
  
• Define long-term infrastructure strategy for scalability and cost optimization.
  
  
• Introduce and evaluate emerging technologies, tools, and methodologies to continuously improve infra systems.
  
  
• Lead large-scale migration projects (e.g., monolith to microservices, IaC, Kubernetes secure image production and networking architectures).
  
  

Qualifications

• Experience
  
  
  • 10+ years of experience in Enterprise level SaaS,  Infrastructure, or DevOps roles, with at least 7+ years leading technical teams in a hands on capacity
  • Proven track record managing infrastructure at scale (multi-region, high-traffic, high-availability systems).
  • Deep hands-on expertise in cloud platforms (AWS, GCP, or Azure), Kubernetes, containerization, and orchestration with deep understanding on how they work technically
  • Strong background in CI,Github actions, automation frameworks, and developer productivity tooling.
  • Strong understanding of distributed systems in production based on Kubernetes deployments 
  •  
• Technical Skills
  
  
  • Deep cloud experience in GCP, Azure or AWS ( GCP preferred )
  • Deep technical expertise  in Infrastructure-as-Code (e.g Terraform, Helm or similar)  cloud services
  • Strong coding ability in Python, Go or similar
  • Expertise with monitoring/observability stacks (Prometheus, Grafana, ELK/EFK, OpenTelemetry).
  • Knowledge of databases (SQL/NoSQL), caching systems, and data pipelines from an infra perspective.
  • Familiar with compliance frameworks (SOC2, ISO, HIPAA, PCI).
    
    
• Leadership Skills
  
  
  • Demonstrated ability to lead by example and remain hands-on while guiding a team.
  • Skilled at balancing business goals with technical excellence.
  • Solid experience with JIRA and agile targeted towards infrastructure/foundation teams
  • Experience recruiting, hiring, and retaining world-class engineers.

• Must be Able to:
  • Come into the San Francisco office 2-3 days per week

Nice-to-Haves

• Prior experience in startups or hyper-growth environments and confidential computing platforms a huge plus
• Background in security and GenAI  products, workflow related products and infrastructures supporting these products
• Contributions to open-source infra/devops projects.
• Experience with multi-cloud strategies or hybrid cloud environments including client side deployments.

About the Role

We’re looking for a Senior Software Engineer, Infrastructure who takes ownership, loves solving hard problems, and is driven by curiosity. You’ll design, build, and scale the systems that power Opaque’s Confidential AI platform, from cloud infrastructure and developer tooling to observability and CI/CD.

This role is ideal for an engineer who thrives in fast-moving environments, learns continuously, and communicates proactively. You’ll work closely with product and platform teams to ensure our systems are reliable, secure, and delightful to develop on.

Responsibilities

• Design, implement, and maintain scalable, secure, and compliant cloud infrastructure using Infrastructure as Code.
• Build and evolve CI/CD pipelines that improve developer velocity and confidence, balancing speed with safety.
• Operate and improve Kubernetes-based systems, bridging application and infrastructure to ensure reliability at scale.
• Participate in on-call rotations, incident response, and postmortems, driving improvements in availability and recovery.
• Lead observability efforts — defining metrics, building dashboards, and making system health visible and actionable.
• Drive cost awareness and optimization across environments.
• Build internal tools and automation that make developers more productive and happy.
• Collaborate across teams, proactively surfacing issues and opportunities before they become blockers.

You May Be a Good Fit If You

• Have 5-7+ years of industry experience building and operating production infrastructure.
• Have led complex, cross-functional projects or acted as a technical lead.
• Are known for taking ownership, driving projects end to end with a bias for action.
• Are curious and self-directed, eager to dive into unfamiliar systems or learn new technologies.
• Communicate clearly, precisely, and proactively, aligning technical direction with stakeholder needs
• Care deeply about reliability, scalability, and developer experience.
• Are fluent in at least one language such as Python, Go, Rust, or Java
• Have deep knowledge of Kubernetes, Azure, GCP, or AWS, and Infrastructure as Code (Terraform, Cloudformation, Pulumi, etc.).
• Have experience with security or compliance frameworks (SOC 2, ISO 27001, or similar).

Strong candidates may have

• Experience in early-stage startups or hyper-growth environments.
• A background in security, privacy, or confidential computing.
• Contributions to open source or community-driven infrastructure projects.