Role Description Stack AV Site Reliability Engineers are responsible for enabling and ensuring our production systems meet their service-level objectives. Through the implementation of centralized observability and automation, the SRE team constantly ensures the health, reliability, scalability, and performance of Stack AV’s infrastructure. Members of the team are expected to contribute to a culture of continuous learning, provide consultation on architecting for high-availability, and ultimately drive the uptime and performance of our systems. Responsibilities - Monitor and maintain mission-critical production services to ensure maximum uptime. - Design and implement scalable distributed systems to facilitate the development of self-driving vehicles. - Design and implement an incident management framework and build a culture of blameless postmortems and continuous learning. - Scale the reliability and velocity of our systems and processes through increased automation. - Document actions to build a comprehensive library of runbooks, which will act as a knowledge base and foundation for automation. - Participate in an on-call rotation to uphold the SLOs and SLAs of production services. Qualifications - Expertise in at least one scripting language (e.g. Bash, Python). - Fundamental understanding of Linux operating system internals, TCP/IP networking, and storage subsystems. - Experience scaling and securing services in the cloud (AWS, GCP) or cloud native environments. - Experience using infrastructure-as-code principles to automate the creation of infrastructure resources (e.g. Terraform, CloudFormation). - Understanding of engineering design limitations and ability to provide guidance to teams to scale their services to achieve desired performance within budget. - Strong experience implementing and debugging cloud native and open source tools such as Kubernetes, etcd, Prometheus, OpenTelemetry, and Istio. - Strong communication skills and the ability to work effectively in a diverse and distributed team. Company Description Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.

• Own reliability for Volcano end-to-end: Define and drive SLOs, error budgets, and incident response practices for all Volcano services — edge deployments, managed Postgres, auth, realtime, storage, and the control plane. • Architect the platform's infrastructure: Design and build the multi-region Kubernetes infrastructure, networking, and data plane that powers Volcano's edge deployment pipeline and backend-as-a-service capabilities. • Build the GitOps and CI/CD backbone: Establish deployment automation, canary pipelines, and preview environment provisioning using ArgoCD, Helm, and Terraform/Terragrunt — setting patterns the broader team will follow. • Scale managed data services: Design, operate, and harden multi-tenant PostgreSQL clusters, Redis caching layers, and object storage — with a focus on data isolation, performance, and disaster recovery. • Drive observability from day one: Instrument every Volcano service with meaningful SLIs; build dashboards, alerts, and runbooks using Datadog, Prometheus, and Grafana before services go live, not after incidents. • Lead cross-functional reliability work: Collaborate with the OCTO team, product engineering, and security to bake reliability and compliance into Volcano's architecture — not bolt it on later. • Set SRE culture and standards: Mentor engineers across Volcano's contributing teams on reliability principles; lead postmortems, define on-call practices, and build a blameless engineering culture. • Evaluate and adopt emerging technologies: Given Volcano's greenfield nature, evaluate and make architectural decisions on edge runtimes, serverless compute, vector databases, and AI-native infrastructure components.

Role Description This position will join our cross-functional and highly collaborative team developing the next generation of digital services, using modern technologies and practices. This position is remote (work from home), requires a federal background investigation and US residence for 3 of the last 5 years. - Break down complex problems into understandable and iterative solutions - Infrastructure-as-code development and operations on Kubernetes environments using Docker and Helm - Familiarity with AWS services including EKS, RDS, S3, CloudWatch and managing infrastructure using Terraform - Continuous integration & continuous deployment with tools such as Gitlab CI, Github Actions or Jenkins - Create and maintain documentation, timely and detailed ticket updates and communications around work - Planning and implementing migration of systems and applications between hosts with minimal downtime - Can work both collaboratively and solo, with experience navigating complex troubleshooting scenarios Qualifications - At least six years of DevOps, SRE, IT, sysadmin, security, developer or other relevant experience - Site reliability engineering (SRE) and on-call rotation - must be able to respond nights and/or weekends, as necessary - Experience with Infrastructure-as-code development and operations on Kubernetes environments using Docker and Helm - Familiarity with AWS services including EKS, RDS, S3, CloudWatch and managing infrastructure using Terraform - Experience with continuous integration & continuous deployment - Experience working in Agile and cross-functional teams (with users, developers, product managers, security and compliance) Requirements - Nice to have: Team leadership and/or cloud architecture experience - Experience working with distributed teams - Experience with Lagoon, Ansible, GNU/Linux, Apache, PHP and/or Drupal configuration - Previous federal background investigation Benefits - Fully remote work (always) - Comprehensive medical, dental, vision, life, and disability coverage for employees, with company contributions toward dependent coverage - 401(k) with a 3% company contribution - Flexible time off policy - 12 weeks paid parental leave - Annual professional development stipend, $1,200 - Annual technology stipend, $820 - Employee growth plans, appreciation programs, and company summits to support connection and career development

Role Description We are seeking a cloud engineer with a strong learning mindset to help build and operate our Google Cloud Platform (GCP) environment. You will work with senior engineers and architects to operate and implement infrastructure-as-code, networking, security guardrails, automation, and monitoring. This role suits someone with foundational, possibly theoretical, cloud knowledge who is eager to learn quickly and grow into a cloud engineering/architecture path. It is implemented as a Site Reliability Engineering (SRE) team. - Work with an agile mindset and according to agile methodology, collaborating closely within the team, with other teams in the Domain and Deutsche Telekom, and with software engineers using the cloud platform. - Approach work with a DevOps and continuous improvement mindset. - Contribute to the implementation of a reliable, scalable GCP platform under guidance from senior engineers. - Help design and maintain the landing zone in line with security and privacy guidelines. - Implement infrastructure-as-code (e.g., Terraform) for repeatable environments with code reviews and mentorship. - Assist with configuring networking components (load balancing, troubleshooting, DNS config, interconnect, VPCs, routing, VPN, distributed networks and how to integrate networks with cloud services) following established patterns. - Set up monitoring, logging, dashboards, and assist in alert tuning and runbook updates. - Automate routine platform tasks (CI/CD pipelines, scripts, tooling). - Maintain clear documentation and contribute to policies, standards, and guidelines. - Maintain current technical knowledge and make recommendations to help the team, hub, and company excel. Qualifications - English language proficiency (team and hub language is English). - 2 years of experience in cloud/platform/DevOps/SRE roles, or equivalent. - Familiarity with at least one major cloud (GCP preferred): core services like compute, storage, IAM, and basic networking concepts. - Proficiency in one programming language (Python, Go, Java, or Node.js) and shell scripting. - Understanding of version control with Git and CI/CD fundamentals. - Exposure to infrastructure-as-code concepts (Terraform or similar). - Knowledge of containers (Docker) and microservices concepts. - You are curious and interested in the latest technologies, especially cloud, agile methods, and DevOps. - You are willing to enter unknown territory, make mistakes, and learn from them together. - You enjoy varied topics in an interdisciplinary team and have high intrinsic motivation. - You can present and communicate ideas (e.g., about architecture) in a visual form. Requirements - Hands-on labs or projects on GCP, AWS, or Azure. - Intro-level certifications or in progress (e.g., Google Associate Cloud Engineer, AWS Solutions Architect – Associate, Azure Fundamentals). - Basics of networking (HTTP, TLS, load balancing), databases (SQL/NoSQL), and platform security/IAM. - Exposure to monitoring/logging tools (Cloud Monitoring/Logging, Prometheus, Grafana). Benefits - Dedicated mentorship from senior cloud architects/platform engineers. - Learning time and budget for certifications (target: Google Associate Cloud Engineer within 6–12 months). - Opportunities to present mini-architectures/POCs and contribute to platform standards. Additional Information - First months success indicators: - Ship reviewed Terraform code and CI/CD pipelines for production environments. - Implement monitored, documented configurations aligned with security guidelines. - Complete agreed GCP learning paths and attain at least one entry-level certification. - Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.