Mid/Senior DevOps Engineer – Technology Segment

Job not on LinkedIn

🔥 15 hours ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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DB

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

Software • Technology • Consulting

DB is a company that specializes in assisting organizations with digital transformation, focusing on understanding problems and finding optimal solutions. They offer a range of services including Agile design and development, digital innovation, software development, sourcing, and consulting. With a dedicated team, DB emphasizes quality in software engineering and provides tailored technological solutions to meet client demands effectively. Additionally, they promote innovation through their DBLab initiative, ensuring that their approaches are applicable, replicable, and scalable for their clients' success.

📋 Description

• Design and evolve infrastructure and platform solutions in cloud and hybrid environments, considering reliability, availability, performance, and scalability • Develop and maintain standardized CI/CD pipelines, incorporating automation, quality, security, and observability practices • Implement and evolve GitOps and Infrastructure as Code (IaC) practices, automating environment provisioning, configuration, and management • Create and maintain templates, accelerators, and reusable components that simplify development and promote delivery standardization • Define and evolve observability strategies covering metrics, logs, traces, APM, alerts, and dashboards for applications, infrastructure, and data platforms • Establish and monitor SLIs, SLOs, and Error Budgets, guiding continuous improvement initiatives and balancing innovation with reliability • Lead the analysis of and response to critical incidents, coordinating mitigation efforts, root cause investigations, and postmortem preparation • Drive the reliability and observability of data environments, including Databricks, Data Lakes, and data pipelines, identifying opportunities to improve performance, availability, and operational efficiency • Collaborate with development, infrastructure, and data teams in adopting platform standards, promoting automation, scalability, and reduced operational toil • Identify opportunities to optimize resource utilization and costs in cloud environments and data platforms, applying FinOps practices

🎯 Requirements

• Strong experience with SRE practices, including reliability, availability, performance, incident management, SLIs, SLOs, and Error Budgets • Experience with cloud infrastructure (GCP, AWS, or Azure), preferably in hybrid environments • Experience with CI/CD tools and automating build, test, deployment, and operational processes using solutions such as GitHub Actions and Azure DevOps • Experience with GitOps and Infrastructure as Code (IaC), particularly Terraform • Experience with observability, including metrics, logs, traces, and APM, using tools such as OpenTelemetry, Grafana, Prometheus, ELK/Elastic, Datadog, or SigNoz • Experience with containers and orchestration, including Kubernetes and/or OpenShift • Knowledge of deployment strategies such as Canary, Blue/Green, and Rolling Deployments • Knowledge of networking and connectivity in cloud and hybrid environments, including TCP/IP, HTTP, DNS, and troubleshooting • Strong knowledge of at least one programming or scripting language (Python, Go, Java, Node.js, or Shell Script) for automation and internal tool development • Knowledge of databases and performance, availability, and capacity concepts • Knowledge of cloud cost and consumption optimization practices (FinOps) • Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, or a related field (preferred) • Cloud or Kubernetes certifications (preferred) • Experience building and evolving engineering platforms or Internal Developer Platforms (IDPs) • Experience creating templates, accelerators, reusable components, and self-service mechanisms • Knowledge of software engineering, including design patterns, best practices, and integration across different technology stacks • Experience with or familiarity with data environments, including Databricks, Data Lakes, Lakehouses, and data pipelines • Experience with or familiarity with financial industry compliance standards • Knowledge of Capacity Planning, Performance Engineering, and continuous operational improvement practices

🏖️ Benefits

• Market-competitive compensation • Meal and food allowance (iFood Card) • Health and dental insurance • Home office stipend • Life insurance • Flexible working hours • Dress code: be yourself • TotalPass: support for your physical and mental well-being • 100% remote position