• Own Database Reliability: Drive high availability and disaster recovery strategies, ensuring RPO/RTO targets are met for our core banking systems. • Architect for Scale: Define and execute the scalability roadmap, including partitioning, sharding strategies, and capacity forecasting. • Optimize Performance: Perform deep-dive query optimization, execution plan analysis, and proactive bottleneck remediation. • Design Infrastructure: Build and manage scalable inference and connection pooling strategies (PgBouncer) and robust backup/restore automations. • Establish Observability: Design the monitoring architecture (Prometheus, Grafana, VictoriaMetrics) and define SLIs/SLOs for database health. • Champion Security: Implement banking-grade security practices, including credential management and compliance-aligned data handling. • Partner Across Engineering: Work with product teams to ensure database schema changes and architectural decisions support a high-load environment. • Lead by Example: Set the technical bar for the DBA function through mentoring, standards definition, and hands-on implementation.

Role Description We are seeking an experienced Site Reliability Engineer to ensure the availability, performance, and operational excellence of large-scale distributed systems in production. As an SRE you will live at the boundary between development and operations, applying strong software engineering principles to infrastructure and operations problems, and continually pushing the platform toward higher reliability with lower operational toil. The ideal candidate will combine deep systems knowledge with strong programming skills, a measurement-driven mindset, and the discipline to design, automate, and operate complex services so that reliability becomes a first-class engineering deliverable rather than a reactive concern. Key Responsibilities - Define, instrument, and continually refine service-level objectives (SLOs), service-level indicators (SLIs), and error budgets for critical services. - Lead incident response and resolution for production issues, acting as a calm and effective incident commander when needed. - Design and implement comprehensive monitoring, logging, and tracing strategies using Prometheus, Grafana, OpenTelemetry, ELK/EFK, Datadog, or similar tooling. - Build and maintain robust on-call processes, runbooks, and escalation paths. - Automate operational toil aggressively by writing production-grade tooling in Python, Go, Bash, or similar languages. - Architect and operate large-scale Kubernetes clusters and container-based workloads. - Design CI/CD pipelines that promote safe, frequent, and observable releases. - Lead capacity planning and performance engineering activities. - Partner closely with application development teams to embed reliability practices early in design. - Strengthen the platform’s resiliency through chaos engineering, fault injection, and well-tested failover paths. - Drive continuous improvement of security posture in collaboration with security teams. - Contribute to the technical roadmap for reliability tooling and developer-experience improvements. - Mentor engineers across the organization on SRE practices. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of SRE, DevOps, or production engineering experience supporting large-scale distributed systems. - Strong programming skills in at least one of Python, Go, or Java. - Deep, hands-on experience operating Linux at scale. - Production experience operating Kubernetes and container-based workloads. - Strong working knowledge of observability tooling such as Prometheus, Grafana, OpenTelemetry, ELK/EFK, or commercial equivalents. - Hands-on experience designing and operating CI/CD pipelines for both infrastructure and applications. - Solid understanding of distributed system design. - Demonstrated experience leading incident response and conducting effective post-incident reviews. - Excellent communication and documentation skills. Preferred Qualifications - Experience defining and operationalizing SLOs and error budgets in real production environments. - Exposure to chaos engineering practices and tools such as Chaos Monkey, Gremlin, or Litmus. - Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP). - Background in capacity planning, performance engineering, or large-scale load testing. - Familiarity with service mesh technologies such as Istio, Linkerd, or Consul. 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) 650-6699. Learn more about Bright Vision Technologies at www.bvteck.com .

• Execute production and non-production deployments using Helm, ArgoCD, and Rancher, following established release procedures and exercising independent judgment when conditions deviate from expected. • Manage Helm chart configurations and releases, ensuring deployments are consistent, repeatable, and aligned with the intended release state across environments. • Use ArgoCD to monitor application sync status, manage rollouts, and respond to drift or deployment failures in a timely and methodical manner. • Operate within Rancher to manage Kubernetes cluster workloads, validate pod health, and troubleshoot deployment-level issues across environments. • Build working knowledge of the Nymbus platform architecture to inform deployment decisions and speed up issue diagnosis. • Participate in off-hours release windows, including evenings and weekends as scheduled, to support deployments that require low-traffic maintenance windows. • Monitor system behavior immediately following deployments, identifying anomalies early and escalating or rolling back as appropriate. • Contribute to release documentation, deployment runbooks, and post-release summaries. • Partner with the Release Coordination team to confirm deployment readiness, flag blockers early, and maintain clear communication throughout the release cycle. • Use AI coding tools as a core part of how you work: drafting and reviewing merge requests, generating boilerplate config and chart changes, and speeding up routine deployment tasks. • Identify repetitive or manual steps in the release process and build small tools, scripts, or automations (AI-assisted or otherwise) to eliminate them and streamline the team's workflow.

Role Description Na Vertigo, somos movidos por pessoas inquietas, que buscam resultado e têm coragem para atuar onde tecnologia e negócio se encontram. Somos uma consultoria de tecnologia com mais de 20 anos de inteligência digital, atuando em parceria com nossos clientes para transformar gaps tecnológicos em vantagens competitivas para gerar impacto real, acelerando negócios e melhorando vidas. Procuramos por um(a) Analista DevOps Sênior com ênfase em Automação que queira se desenvolver com a Vertigo! O profissional será responsável por apoiar a implementação de práticas DevOps, automação de infraestrutura, pipelines, integração entre ambientes, observabilidade e melhoria contínua dos processos técnicos da GTI. Atuará na automação, padronização, sustentação e evolução de ambientes de infraestrutura, aplicações e plataformas, contribuindo para maior eficiência operacional, confiabilidade, rastreabilidade e redução de atividades manuais. #GoVertigo 🚀 Responsibilities - Desenvolver, manter e evoluir automações para provisionamento, configuração, operação e sustentação de ambientes de TI; - Apoiar a implementação e manutenção de pipelines CI/CD, scripts, integrações e rotinas automatizadas; - Atuar com infraestrutura como código, automação de configuração e padronização de ambientes; - Apoiar a sustentação e evolução de ambientes Linux, containers, Kubernetes, cloud e plataformas híbridas; - Integrar ferramentas de monitoramento, observabilidade, ITSM, repositórios de código e plataformas operacionais; - Apoiar análise e resolução de incidentes, problemas e mudanças em ambientes automatizados; - Contribuir para melhoria de processos, redução de erros operacionais e aumento da confiabilidade das entregas; - Produzir documentação técnica, runbooks, procedimentos e boas práticas de automação. Qualifications - Linux, shell script e administração básica/intermediária de servidores. - Git, GitLab/GitHub, pipelines CI/CD e boas práticas de versionamento. - Automação com Python, Shell, PowerShell ou linguagens equivalentes. - Containers, Docker e fundamentos de Kubernetes. - Infraestrutura como código, com ferramentas como Terraform, Ansible ou similares. - Conceitos de cloud pública, ambientes híbridos e automação de infraestrutura. - Monitoramento, logs, métricas, dashboards e integração com ferramentas de observabilidade. - Noções de ITSM, gestão de mudanças, incidentes e documentação operacional. Desired Knowledge - Experiência com Kubernetes, Rancher, AKS, EKS ou ambientes similares. - Conhecimento em GitLab CI/CD, GitHub Actions, Jenkins ou ferramentas equivalentes. - Vivência com Prometheus, Grafana, Zabbix, Elastic, Datadog ou soluções de observabilidade. - Experiência com automação de ambientes VMware, cloud ou plataformas corporativas. - Conhecimentos de segurança em pipelines, DevSecOps, gestão de secrets e hardening. - Certificações em cloud, Kubernetes, DevOps, Linux ou automação serão diferenciais. Behavioral Profile Expected - Perfil investigativo, proativo e orientado à melhoria contínua. - Capacidade de transformar atividades manuais em processos automatizados. - Boa comunicação com times de infraestrutura, desenvolvimento, segurança e operações. - Organização, documentação e preocupação com rastreabilidade. - Visão de confiabilidade, eficiência operacional e redução de risco. Work Model Remoto (Avaliaremos preferencialmente profissionais residentes em Brasília ou região, considerando eventuais atividades presenciais no escritório) Você quer fazer parte do nosso time? Se inscreva, e embarque nessa jornada com a gente! 💙