Role Description We are hiring a Junior / Mid-Level Full-Stack Platform Engineer for a fast-moving biometric health technology company building production systems around wearable physiological data, APIs, SDKs, and AI-forward infrastructure. This is a hands-on builder role for someone early in their engineering career who already has real full-stack experience and strong fundamentals. - Build and improve full-stack platform features across frontend, backend, APIs, SDKs, and data systems. - Write Python- or Go-backed services and work with JavaScript or TypeScript on product-facing surfaces. - Support data pipelines and platform workflows that connect biometric data, enterprise systems, and AI-facing infrastructure. - Collaborate with senior engineers on architecture, implementation, deployment, and technical tradeoffs. - Ship clean, reliable code in a compliance-aware environment. - Debug production-adjacent issues, reason through data flow, and improve the platform over time. - Move quickly without waiting for every detail to be prescribed. Qualifications - Hands-on full-stack software engineering experience from a professional role, internship, startup, open-source work, or substantial shipped project. - Strong Python or Go skills. - Experience building backend services, APIs, SDKs, or data pipelines. - Practical frontend experience, especially JavaScript or TypeScript. - Solid fundamentals in Git, testing, debugging, deployment, interfaces, and data flow. - Comfort working in a lean startup where priorities move quickly. - Ability to communicate tradeoffs clearly and learn from senior engineers. - Willingness to complete a live coding assessment. - Recent grads can be a fit when they have unusually strong full-stack project, internship, startup, or open-source evidence. Requirements - Depth across both Python and Go. - AI/ML, AI tooling, data infrastructure, or model-facing platform exposure. - Health tech, wearables, biometric data, IoT, or device-connected software experience. - HIPAA, SOC 2, GDPR, or other compliance-aware engineering experience. - Austin, San Antonio, or broader Texas location. - Strong science, engineering, computer science, or systems-oriented background. Benefits - Real platform work in biometric health technology, not toy internal tools. - Direct exposure to AI-forward infrastructure, data pipelines, APIs, and SDKs. - Mentorship from senior technical leaders while still owning meaningful build work. - A lean startup environment where strong early-career engineers can grow quickly. - Remote/distributed setup, with Austin / San Antonio preferred but not required. - $90,000-$130,000 base salary for the right early-career or junior/mid-level profile, with additional flexibility for exceptional profiles. Company Description This is a full-time role with a distributed U.S. team. Austin / San Antonio is preferred, but the engineering team is already distributed, so location is helpful rather than mandatory. The posted salary range is $90,000-$130,000 base salary, with additional flexibility for exceptional profiles. Final compensation depends on experience, skill level, technical assessment performance, and fit for the role.

• Define and drive the technical roadmap for platform infrastructure, reliability, and scalability initiatives. • Design and review complex system architectures that support company growth and evolving business needs. • Establish engineering standards, best practices, and technical patterns across multiple teams. • Improve system observability, incident response processes, and operational excellence across the platform. • Partner with Engineering, Product, and Design leaders to align technical investments with business priorities. • Mentor engineers and provide technical guidance that elevates engineering capabilities across the organization. • Build and improve backend services, infrastructure tooling, and shared platform capabilities. • Identify technical debt, scalability risks, and operational vulnerabilities before they become business constraints.

Role Description We are looking for a Senior SRE / Platform Engineer (m/f/d) to own and improve the cloud infrastructure behind SimScale's browser-based simulation platform. The role spans: - AWS and EKS - Observability - Disaster recovery - Security and compliance controls - Multi-region architecture - Elastic GPU/HPC capacity - Internal developer tooling SimScale's engineering teams run workloads directly on AWS; you will build the standards, guardrails, and self-service tooling that let them do so safely, raising reliability and security without slowing engineering velocity. You will join a small, tightly knit infrastructure team supporting 50+ engineers across the company. This is a hands-on senior individual contributor role; people management is not required, but there is a genuine path toward tech-lead ownership as the team grows. Qualifications - 5+ years of professional experience in SRE, platform, or infrastructure engineering. - Software development experience: Your background is rooted in software development, and you moved into SRE from there. You write production-quality software in at least one of Python, Go, Rust, or Java. - Strong systems foundation: You understand Linux internals and distributed systems well enough to debug complex production behavior. - Hands-on cloud and infrastructure experience: AWS (or GCP), declarative infrastructure (Terraform), gitops-workflow (ArgoCD) and container orchestration (Kubernetes). - Observability and reliability experience: You have worked with OpenTelemetry, Prometheus, distributed tracing, monitoring, and meaningful SLOs/SLIs. - Production debugging depth: You can investigate complex failures, communicate clearly during incidents, and turn findings into durable improvements. - Security and compliance awareness: You understand how infrastructure decisions affect access control, auditability, disaster recovery, logging, and standards such as SOC 2. - Clear communication: You can explain trade-offs to engineering teams and help others adopt better platform practices without unnecessary friction. Requirements - An open source portfolio or contributions. - Prior technical leadership experience, especially in infrastructure, reliability, or platform engineering. Benefits - Join a dedicated, supportive team with unlimited growth opportunities and leadership potential. - Make an impact quickly by sharing ideas and contributing to creative, goal-oriented projects. - Work in a diverse, inclusive environment with colleagues from over 35 countries. - Enjoy flexible hours and the freedom to work remotely from anywhere in the world. - Access comprehensive health coverage, retirement plans, paid time off, and wellness support. - Enjoy fresh office lunches or gift cards as a remote employee. - Grow as a professional with online/offline learning, language courses, and tech talks. - Connect at team events, join support groups, and contribute to our ESG and DE&I initiatives. - Participate in fun team challenges and competitions for added excitement and team spirit. Company Description At SimScale, we look beyond borders and hire great talent from all parts of the world. With our team consisting of people from various backgrounds, we truly embrace diversity and encourage everyone to be themselves. We are unified by curiosity, dedication and our team spirit! As an equal opportunity employer, we acknowledge that our employees have different aspirations and career goals, and therefore are committed to create a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

• Define and lead the engineering strategy, roadmap, and operating model for the organization’s agentic AI platform. • Oversee the design, development, integration, deployment, and ongoing operation of platform capabilities. • Establish platform engineering standards, architectural principles, and development practices. • Lead cross functional engineering teams in building reusable platform services and tools. • Partner with product, data, infrastructure, security, and business teams to align platform capabilities.