Clera

Own reliability, scale, and performance of core infrastructure while managing uptime and incident response, building AWS infrastructure and developer tooling. | 2-4 years experience with AWS, Kubernetes, Terraform, backend engineering, observability, and automation for high-availability platforms. | About the Role We're a fast-growing AI/ML platform startup building infrastructure for training, evaluating, and aligning AI models within reinforcement learning environments. Our engineering team of ~15 includes competitive programming medalists, serial AI startup founders, and researchers published at top venues — and we're looking for a Platform Engineer to own the reliability, scale, performance, and developer experience of our core infrastructure. This is a backend-architecture-heavy role with high ownership. Your work will directly determine how fast, reliable, and cost-effective our platform is to build on and run. What You'll Do Own production uptime, latency, provisioning speed, infrastructure cost, and incident response for core platform services. Build and maintain AWS infrastructure using Terraform, Kubernetes/EKS, Helm, Docker, EC2, CodeBuild, ECR, S3, IAM, networking, and secrets management. Design and improve backend and platform systems for scale — capacity planning, autoscaling, queueing, backpressure, cleanup jobs, retries, and rollback paths. Define and improve dashboards, alerts, logs, traces, SLOs, runbooks, and on-call workflows so failures are detected, debugged, and resolved quickly. Build reliable CI/CD pipelines, release automation, environment management, and deployment workflows that improve developer productivity and reduce production risk. Write clean, maintainable production code to automate systems, improve backend services, and create internal developer tooling. What We're Looking For Required: 2–4 years of experience owning production cloud infrastructure for a high-availability, user-facing platform, with accountability for uptime, performance, deployment safety, and cost. Deep hands-on experience with AWS and containerized systems; strong familiarity with Terraform, Kubernetes/EKS, Docker, EC2, load balancers, networking, and secrets management. Track record of building or operating CI/CD, release automation, observability, alerting, and incident response systems. Strong backend engineering judgment — able to reason about service architecture, APIs, databases, async systems, queues, scaling limits, and production failure modes. Ability to write production-quality code to automate infrastructure, improve backend services, and build internal tooling. Nice to Have: Experience designing systems for bursty workloads, long-running jobs, sandboxed execution, distributed workers, or high-concurrency services. Background operating infrastructure for data-heavy, ML/AI, workflow, marketplace, developer-tools, or enterprise platforms. Demonstrated focus on reducing cloud spend through better architecture, autoscaling, workload placement, caching, or cleanup systems. Experience building internal platforms or developer tools that improve engineering productivity without hiding complexity. We prioritize technical aptitude, ownership, and learning potential over years of experience. Location San Francisco, CA (on-site): US-based candidates must be located in San Francisco. Singapore (on-site): Southeast Asia-based candidates must be located in Singapore. Fully remote (contractor): Candidates based elsewhere — particularly in Europe — may be considered as fully remote independent contractors. Visa sponsorship is available. Compensation & Benefits Salary: $150,000 – $250,000 USD annually (for full-time roles) Opportunity to have significant ownership and direct impact at an early-stage, well-funded AI infrastructure company. Work alongside a world-class technical team building foundational infrastructure for AI alignment and post-training data.

Own end-to-end feature design, shipping, and iteration for backend systems, APIs, and automation pipelines while collaborating with founders and customers. | Proven experience designing and maintaining backend data models and automation pipelines, with a track record of shipping customer-facing products in a fast-moving startup environment. | About the Role Join a small, high-ownership product team at an early-stage AI and automation startup as a Backend-Leaning Product Engineer. This is a hands-on, end-to-end ownership role where you'll build real-world AI-driven products, navigate messy integrations, and make fast product and engineering trade-offs with strong judgment — without heavy PM support. You'll work closely with founders and customers in a hybrid in-office environment in San Francisco. This is a great fit if you thrive in ambiguous, fast-moving startup environments and have a track record of shipping, not just planning. What You'll Do Own features end-to-end — from design through shipping and iteration. Make independent product and engineering decisions with minimal oversight. Build and maintain backend systems, APIs, data models, and automation pipelines. Integrate with external tools, legacy systems, and third-party services. Design workflows and orchestration layers for AI/automation-driven products. Debug production issues and exercise strong engineering judgment under pressure. Contribute full-stack when needed, with a clear emphasis on backend ownership. Collaborate directly with founders, customers, and cross-functional stakeholders. What We're Looking For Required: Demonstrated experience designing, implementing, and maintaining data models and automation pipelines for backend systems. Proven ability to debug production issues and apply strong engineering judgment in troubleshooting. Track record of shipping real customer-facing products, ideally in 0-to-1 or ambiguous/messy startup environments. Experience with backend systems, APIs, data modeling, integrations, and automation. Comfort working in a very small, fast-moving team with little structure. Based in San Francisco or willing to relocate; hybrid/in-office presence required. Nice to Have: Applied AI or workflow/orchestration experience — agentic workflows, RAG, or LLM-enabled features. Python experience; modern web/backend stacks are acceptable — engineering quality matters more than specific stack. Background as an early/founding engineer, startup generalist, or product engineer from a scaling startup. Close prior collaboration with founders or customers on customer-facing features. Not a fit if: you are frontend-only, data/internal-tools-only, pure DevOps/SRE without product ownership, pure research/ML without shipping experience, or primarily motivated by corporate titles. Compensation & Benefits Base salary: up to $275,000 USD annually Equity: meaningful equity stake Visa sponsorship: not available Location This role is on-site / hybrid in San Francisco, CA. Candidates must be based in San Francisco or willing to relocate. Remote work is not available for this position.

Lead and mentor engineering team, define technical strategy, and ensure delivery of scalable software. | 5+ years engineering leadership, hands-on development, startup experience, cloud and CI/CD familiarity. | About The Role We're a fast-moving, early-stage B2B SaaS company building products in the identity and access management space. We're looking for an Engineering Lead to guide a small-to-medium engineering team, shape our technical direction, and drive the delivery of reliable, scalable software. This role blends hands-on technical judgment with people leadership — you'll set the bar for engineering quality while building an empowered, ownership-driven team culture. This is an on-site role based in Los Angeles, CA. Please note that visa sponsorship is not available for this position. What You'll Do • Lead and mentor a team of engineers to deliver against product goals and grow individual technical capabilities. • Define and communicate technical strategy, architecture decisions, and roadmap priorities. • Own delivery quality and operational reliability for services and systems. • Collaborate closely with product, design, and other stakeholders to align engineering work with business objectives. • Establish and continuously improve engineering processes, code review standards, and CI/CD workflows. • Hire, develop, and retain strong engineering talent through hands-on coaching and structured feedback. • Make thoughtful trade-offs between speed, scalability, and maintainability in day-to-day implementation decisions. • Foster a culture of ownership, learning, and continuous improvement across the team. What We're Looking For Must-haves: • 5+ years in engineering leadership roles, with a proven track record of delivering production software products. • Prior experience shipping products in startups, early-stage companies, or similarly fast-paced environments. • Hands-on software development experience with a modern web stack and a history of delivering production-quality systems. • Experience architecting and delivering scalable back-end APIs, data models, and cloud infrastructure for web applications. • Demonstrated ability to lead engineering teams — mentoring engineers, running hiring, and defining development processes. • Comfort with cloud platforms (e.g., AWS, GCP, Azure), CI/CD pipelines, and deployment tooling. • Strong cross-functional collaboration skills — you've worked alongside product, design, and data teams to define roadmaps and deliverables. • Solid computer science fundamentals and the ability to reason rigorously about architecture, performance, and reliability. Nice-to-haves: • Experience with authentication systems, security best practices, and permissions models in SaaS environments. • Familiarity with frontend frameworks such as TypeScript/React and modern web UI development. • Experience with monitoring, instrumentation, distributed tracing, metrics dashboards, and incident response. Location This is a full-time, on-site position based in Los Angeles, CA. Candidates must be authorized to work in the United States — visa sponsorship is not available.

Own end-to-end onboarding features including backend data pipelines and frontend user experiences, building reliable production-grade systems in collaboration with a small team. | At least 2 years shipping production-grade software in a fast-paced startup with proficiency in AWS, Node.js, React, Kubernetes, and Terraform, and US work authorization. | About the Role A seed-stage identity verification fintech startup is looking for an early Senior Engineer to help build a fast-lane user onboarding experience. You'll be a key contributor to a product that cuts signup time to under 10 seconds — driving conversion improvements across fintech, healthcare, and consumer applications. You'll own the product end-to-end: from data integrations with telcos and banks, to fraud-signal processing at the edge, to a consent-first user experience. This is a high-ownership, high-impact role on a small, fast-moving team. No visa sponsorship is available. Candidates must be US-based or authorized to work in the United States without sponsorship. What You'll Do Own end-to-end onboarding features, from backend data pipelines to frontend user experiences. Build fast, reliable, production-first systems with a focus on speed, clarity, and correctness. Instrument, monitor, and iterate on performance and reliability across the full stack. Collaborate tightly within a small team with short feedback loops and a prod-first mindset. Ship production-grade software and actively contribute to product decisions. What We're Looking For Required: 2+ years of experience shipping production-grade software in a fast-paced startup environment. Proficiency with AWS, Node.js, React, Kubernetes, and Terraform. Experience owning end-to-end features spanning backend data pipelines and frontend user experiences. Strong computer science fundamentals. Must be US-based or authorized to work in the US without sponsorship (hard requirement). Nice to Have: Industry experience in fintech, healthcare, or consumer apps. Background working with identity verification, KYC/AML, or fraud prevention systems. Familiarity with telco or banking data integrations. Location Fully remote — US-based candidates only. Company is headquartered in San Francisco, CA. Compensation & Benefits Compensation details were not provided for this role. Expect competitive early-stage startup equity and salary commensurate with experience. Benefits details will be shared during the interview process.