• Own the full ingestion path from edge to cloud, ensuring robot telemetry, sensor data, and warehouse events are reliably captured, transported, and made available for downstream systems. • Design, build, and operate scalable pipelines and foundational data layers (streaming and batch) that deliver low-latency, reliable data for analytics, AI/ML, and product features. • Build and maintain ingestion pipelines from object storage (e.g., S3) into Databricks, including raw → staged → analytics-ready layers, supporting both streaming and batch workloads. • Own the reliability and CI/CD of the data warehouse and foundational data layers, enabling safe, repeatable deployment of schema changes, transformations, and infrastructure that analytics engineers depend on. • Implement observability, monitoring, and data quality checks to ensure pipeline correctness, detect failures or drift, and maintain trust in data used by Vista, Portal, and Scoutmap. • Scale and optimize multi-tenant data infrastructure, balancing performance, reliability, and cost-efficiency as Cobot’s customer base and data volume grow. • Collaborate directly with robotics, AI/ML, product, and analytics teams to translate product requirements into resilient data systems that unlock customer-facing features. • Establish and enforce best practices for data engineering, reliability, security, and CI/CD across ingestion, staging, and warehouse layers—owning the foundations while enabling analytics engineers to ship metrics, marts, and dashboards efficiently.

Role Description ProArch is looking for a passionate and skilled Site Reliability Engineer (SRE) to join our team. As an SRE, you will be responsible for ensuring the reliability, availability, and performance of our systems and services. You will collaborate with various teams to optimize production environments, troubleshoot performance issues, and implement best practices for service reliability. Your contributions will be critical to improving system uptime and enhancing user satisfaction. - Monitor system performance and reliability, ensuring uptime meets organizational SLAs. - Implement and maintain observability tools to gather metrics and logs for proactive issue detection. - Troubleshoot and resolve complex production issues across various components of our infrastructure. - Collaborate with software engineering teams to design and implement scalable, fault-tolerant architectures. - Develop and maintain automation scripts for deployment, monitoring, and system management. - Participate in on-call rotation to respond to production incidents and perform root cause analysis. - Contribute to capacity planning and performance tuning to ensure optimal resource utilization. - Document infrastructure, processes, and incident responses to promote knowledge sharing. Qualifications - 8+ years of experience as a Site Reliability Engineer, DevOps Engineer, or related role. - Strong experience with cloud providers such as AWS, Azure, or GCP. - Proficiency in scripting languages such as Python, Bash, or Go. - Experience with container orchestration tools like Kubernetes. - Familiarity with CI/CD pipelines and tools (e.g., Jenkins, GitLab CI). - Experience in Snowflake. - Account Admin expertise for Snowflake. - Solid understanding of networking and security principles. - Experience with monitoring and logging tools such as Prometheus, Grafana, or ELK stack. - Excellent problem-solving skills and a proactive attitude. - Strong communication and teamwork skills, with an emphasis on collaboration. Preferred Qualifications - Experience with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation. - Knowledge of service mesh architectures and modern microservices patterns. - Background in software development and familiarity with Agile methodologies.

• Guide and develop a team of 10-12 platform engineers by providing coaching, feedback, and growth opportunities, setting clear goals, managing performance, and ensuring accountability • Foster a positive, inclusive culture, support employee well-being, and lead by example, while aligning team efforts with organizational goals, removing obstacles, and enabling the team to achieve results effectively • Work closely with development, operations, security, and architect engineers to identify needs, incorporate feedback, and deliver scalable and secure platform solutions • Contribute directly to the design, architecture and implementation of platform features and capabilities • Manage platform engineering budgets, coordinate resource allocation, and optimize costs for cloud and on-premise infrastructure • Define and enforce platform engineering standards, documentation, automated workflows, and compliance requirements • Ensure thorough documentation and facilitate knowledge sharing across technical teams, promoting internal awareness and adoption of platform solutions across Nava

• Implement cloud-based IaC solutions • Develop and implement automation to support continuous delivery and continuous integration solutions • Use GCP services to deploy highly available, scalable, and secure applications • Implement workflows to automate the release and upgrade process for applications in Development, Test, and Production environments. • Implement secure integrations using GCP security and networking technologies • Administration and engineering of IAM user Role-Based Access Controls and processes • Create and update support documentation and standards. • Develop automated methodologies for deployment activities, configuration management, supporting systems, and business processes. • Investigate and contribute to solving various issues in production environments.