• You will play a key role with supporting Customer Success, Engineering, Product, Sales, and Account Management teams – handling internal questions, providing product education and training, as well as engaging with customers • Perform effective and efficient handling of all levels of technical support cases ranging from basic user questions to issues requiring more in-depth technical knowledge • Analyze and troubleshoot problems experienced by Jumio customers; including reproducing them and ultimately trying to respond to customers with a solution • Manage technical issues and escalations to completion; involves periodically working standby hours, if necessary • Perform technical certifications of customer integrations before launch • Work inside the cross-functional agile teams, closely cooperating with developers, operations, product owners and other key stakeholders • Actively contribute to both Jumio’s internal and external (customer) Knowledge Base, produce technical documentation, incident reports, and release notifications

• Become a part of our customer's team as a Computational CAD Engineer specializing in OpenSCAD • Drive the development of cutting-edge AI-enabled design training • Apply advanced scripting and modeling expertise to create parametric and programmatically controlled 2D and 3D models • Facilitate strong AI data workflows

Role Description We are looking for an Observability Engineer to design and operate the metrics, logging, tracing, and alerting platforms that give engineering teams confidence in the systems they run. The role spans the full observability stack — from collection agents and pipelines to long-term storage, dashboards, and alerting workflows — with a strong focus on usability, signal quality, and operational ROI. The ideal candidate has built and operated observability platforms at scale, understands the trade-offs between open-source and SaaS approaches, and can translate noisy telemetry into actionable insight for both engineers and business stakeholders. Key Responsibilities - Design and operate enterprise-grade observability platforms covering metrics, logs, traces, events, and synthetic monitoring. - Architect Prometheus / Thanos / Mimir, Grafana, Loki, Tempo, OpenTelemetry, and Datadog deployments for high availability and scale. - Develop standards for service instrumentation, including OpenTelemetry adoption, metric naming, label cardinality, and structured logging conventions. - Define and enforce SLOs, SLIs, and error budgets, and build the dashboards and alerts that operationalize them. - Build alerting strategies that minimize noise, surface actionable signals, and integrate cleanly with on-call workflows in PagerDuty, Opsgenie, or similar tools. - Operate large-scale time-series and log storage platforms, balancing retention, query performance, and cost. - Design distributed tracing pipelines and help teams use traces to diagnose latency and reliability issues. - Develop self-service tooling, paved-road libraries, and templates that make adoption of observability standards easy for product teams. - Drive cost management and label-cardinality discipline across the observability estate. - Lead incident response readiness improvements through better dashboards, alerting hygiene, and post-incident analysis tooling. - Partner with SRE and platform teams to integrate observability into deployment pipelines, canary analysis, and progressive delivery workflows. - Evaluate and recommend observability vendors and open-source tools based on cost, capability, and operational maturity. - Mentor engineering teams on observability fundamentals, debugging techniques, and SLO-driven operations. - Maintain documentation, onboarding guides, and runbooks for the observability platform. Qualifications - Bachelor’s degree in Computer Science or a related field. - Five or more years of experience in SRE, platform engineering, or observability roles. - Deep hands-on experience with Prometheus, Grafana, and at least one major commercial observability platform such as Datadog, New Relic, or Splunk. - Strong understanding of OpenTelemetry, distributed tracing, and structured logging. - Proficiency in at least one general-purpose language such as Go, Python, or Java. - Experience operating high-cardinality, high-throughput metrics and log pipelines. - Strong understanding of SLOs, error budgets, and SRE principles. - Experience integrating observability with CI/CD and incident management tooling. - Solid grasp of Linux internals, networking, and container platforms. - Excellent communication and collaboration skills. Preferred Qualifications - Experience with Thanos, Mimir, Cortex, Loki, or Tempo at scale. - Contributions to OpenTelemetry or observability open-source projects. - Familiarity with eBPF-based observability tooling. - Experience driving observability cost optimization initiatives. - Exposure to regulated environments with audit-grade logging requirements. Requirements - No new H1B sponsorship available. H1B transfers welcomed for qualified candidates. - This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies. - Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables. - For every role, a technical coding assessment is mandatory. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 698-4899. Learn more about Bright Vision Technologies at www.bvteck.com .

Role Description We are seeking a Site Reliability Engineer (SRE) with deep expertise in monitoring, observability, and reliability engineering to support systems running across on-premises infrastructure and Google Cloud Platform (GCP). This role is primarily responsible for designing, operating, and improving monitoring, alerting, and observability platforms, with a strong focus on Grafana and Kubernetes environments. As a secondary responsibility, this role provides backup coverage for the Application Support team during periods of resource constraints or major incidents, offering L2/L3 technical support when required. Responsibilities - Monitoring & Observability (Core Focus) - Own and operate the monitoring and observability stack across on-prem and GCP environments - Design, build, and maintain Grafana dashboards for infrastructure, Kubernetes, and applications - Define, tune, and maintain alerts to ensure high signal-to-noise ratio - Establish observability standards and best practices across teams - Improve visibility into system health, performance, and reliability - Site Reliability Engineering - Apply SRE principles to improve availability, performance, and resilience - Define and track SLIs, SLOs, and error budgets - Participate in on-call rotations and SEV incident response - Lead or contribute to incident investigations and root cause analysis (RCA) - Drive preventative actions to reduce repeat incidents - Kubernetes & Platform Reliability - Support and monitor Kubernetes environments (GKE and on-prem clusters) - Monitor cluster health, capacity, and resource utilization - Troubleshoot platform-level issues impacting application reliability - Collaborate with Platform and Engineering teams on reliability improvements - Secondary Responsibilities (Backup Application Support) - Provide L2/L3 application support coverage during: - Support team resource shortages - High-severity incidents (SEVs) - Peak support periods or escalations - Triage and troubleshoot application issues using existing runbooks and dashboards - Collaborate with Application Support and Engineering teams during incidents - Ensure all actions, findings, and resolutions are documented in ServiceNow (SNOW) Qualifications - Strong experience as a Site Reliability Engineer or Reliability Engineer - Deep hands-on expertise with Grafana (dashboards, alerting, troubleshooting) - Solid experience with monitoring and observability systems - Production experience operating Kubernetes environments - Experience supporting systems in GCP and on-prem environments (mandatory) - Strong Linux systems and troubleshooting skills - Fluent English (written and spoken) - Ability to work in PST time zone - Ability to participate in an on-call rotation that includes coverage for one weekend day Requirements - Technology Stack: - Observability: Grafana, Prometheus, logging platforms - Containers: Kubernetes (GKE and on-prem) - Cloud: Google Cloud Platform (GCP) - Operations: Linux, networking, infrastructure monitoring - Incident Tools: PagerDuty, ServiceNow, Slack (or equivalents) - Nice to have: - Experience supporting application teams during SEV incidents - Knowledge of capacity planning and performance tuning - Scripting skills (Python, Bash, etc.) - Experience with hybrid infrastructure environments Benefits - A stable, long-term contract with opportunities for career growth - Private health insurance - A remote-friendly culture that promotes work-life balance - Continuous training, mentorship, and learning programs to keep you at the forefront of the industry - Free access to AI training resources and state-of-the-art AI tools to elevate your daily work - A flexible Paid Time Off (PTO) policy as well as paid holiday days - Challenging, world-class software projects for clients in the US and LatAm - Collaboration with some of the most talented software engineers in Latin America and the US, in a diverse work environment