• Work on a State Government Project • Ensure adherence to architecture frameworks • Develop data ingestion and ETL pipelines • Collaborate with a team to manage data governance and metadata management • Engage in Agile methodologies with tools like Azure DevOps

• Participate in developing, maintaining, and improving infrastructure using Kubernetes • Manage and optimize GKE clusters • Deploy, manage, and support containerized applications • Develop and optimize CI/CD pipelines for build, test, and deployment automation • Automate infrastructure provisioning using Infrastructure as Code (IaC) tools • Manage and troubleshoot Linux-based systems and services • Write scripts and automation tools (Python or similar) • Help implement monitoring, logging, and alerting solutions • Contribute to system reliability, performance, and security improvements • Troubleshoot issues in staging and production environments • Collaborate with development and QA teams to enhance delivery processes

About k-ID k-ID is the global leader in privacy-first compliance and age verification infrastructure. Recognized as one of TIME’s Best Inventions of 2025, named a Tech Pioneer by the World Economic Forum and a winner of Fast Company’s Next Big Things in Tech, we are building the Age Layer for the internet—the fundamental infrastructure that allows digital platforms to verify age and manage compliance globally without friction. Our core platform, anchored by the Compliance Development Kit (CDK) and AgeKit, is the trusted engine for the world’s largest game publishers and digital ecosystems. We replace fragmented, manual compliance with a unified API that handles age verification, parental consent, and regulatory logic across 200+ markets. Backed by top-tier venture capital firms like a16z and Lightspeed, k-ID is entering a phase of growth to define the standard for global digital safety. About the role We are hiring a Senior Site Reliability Engineer to help make k-ID reliable at scale. This role sits in the middle of our production backbone. You will own and improve the systems that keep our platform available, observable, secure, and resilient as traffic grows and our client base expands globally. You will work across infrastructure, tooling, deployment workflows, incident response, and systems design to make sure we can scale without breaking. This is not a ticket closing operations role. We want someone who can look at a system, find the weak points, and harden it. Someone who cares about failure modes, blast radius, deployment safety, recovery time, cost discipline, and the realities of running production systems under pressure. You should be comfortable writing code, automating away toil, and partnering closely with engineers to improve reliability through better architecture and better operating practices. Responsibilities - Own the reliability, availability, and performance of the systems behind k-ID’s platform and public APIs - Design and improve scalable infrastructure on AWS and Kubernetes that can support high growth, uneven traffic, and global production workloads - Build and maintain strong observability across logs, metrics, tracing, alerting, and service health so issues are caught early and investigated quickly - Improve deployment safety through better CI and CD workflows, release controls, rollback paths, and environment consistency - Drive incident response and production readiness practices, including runbooks, on call hygiene, postmortems, capacity planning, and resilience testing - Reduce operational toil by automating repetitive work and improving internal tooling for developers and operators - Partner with engineering teams to embed reliability and operability into service design from the start, not after something fails in production - Strengthen platform security and infrastructure hygiene across access controls, secrets handling, system hardening, and production safeguards - Continuously improve system performance, resource efficiency, and cost awareness without compromising reliability Qualifications - 5+ years of experience in infrastructure, platform engineering, site reliability engineering, or software engineering with meaningful production ownership - Strong experience running production systems in AWS - Strong hands on experience with Kubernetes and container based workloads - Experience with infrastructure as code, preferably Terraform - Experience designing and operating observability stacks using tools such as Prometheus, Alertmanager, Grafana, OpenTelemetry, or equivalent systems - Strong understanding of distributed systems, failure modes, service reliability, and production debugging - Experience building or improving CI and CD systems and release workflows in modern engineering environments - Ability to write code and automation in one or more languages such as Go, Python, or TypeScript - Good judgment during incidents and a practical mindset around tradeoffs, risk, and recovery - Clear written and verbal communication skills with the ability to work effectively in a remote team - Startup experience is a plus, especially in environments where systems and processes are still being built Applicants Privacy Policy

• Serás el dueño del dato desde su origen físico en planta industrial. • Capturar datos desde servidores OPC (Windows) y dispositivos Edge (Linux) para alimentar los pipelines de streaming hacia la nube. • Responsable de que la telemetría llegue íntegra, en tiempo real y de forma confiable para analítica crítica de negocio. • Ownership técnico total sobre la infraestructura Edge y los pipelines de datos: diseñas, decides, construyes, operas y te haces responsable de que el dato fluya sin interrupciones desde el piso de planta hasta AWS.