Role Description Technical resource responsible for monitoring, optimizing, and improving operational reliability within our Microsoft Dataverse / Power Platform environment. This role will lead monitoring, observability, DevOps enablement, CI/CD governance, and automation initiatives to improve system reliability, integration stability, and backend IT support efficiencies. This position will be full-time and remote. What You'll Do - Scheduled Job & Workflow Monitoring - Monitor scheduled jobs and background processes in Dataverse - Track: - Failed Power Automate flows - Long-running flows - Workflow execution anomalies - Build proactive alerting mechanisms - Perform root cause analysis and corrective action planning - Improve retry logic and resiliency patterns - Dashboard & Observability Development - Design and implement centralized monitoring dashboards displaying: - Failed workflows - Slow-running automations - Tools may include: - Power BI - Azure Monitor - Application Insights - Log Analytics - Azure Cost Management - Dataverse analytics APIs - Integration health and latency - System account lockouts - Job schedules and failure trends - Long-running background jobs - Email error logs - Azure DevOps & GitHub (CI/CD Governance) - Implement and manage CI/CD pipelines for Power Platform solutions - Manage solution versioning and environment promotion strategies (Dev → Test → Prod) - Configure Azure DevOps pipelines for: - Solution export/import automation - Automated deployments - Validation testing - Maintain GitHub repositories for: - Source control of Power Platform solutions - Infrastructure-as-Code (IaC) scripts - Automation scripts - Enforce branching strategies and pull request governance - Integrate automated quality checks into deployment pipelines - Enable automated environment provisioning where applicable - Source Control & Environment Governance - Support Git-based source control best practices - Support: - Branching models (GitFlow or trunk-based) - Automated solution packaging - Maintain deployment documentation and release runbooks - Ensure secure credential and secret management within pipelines - Automation & Operational Efficiency - Identify repetitive backend support tasks suitable for automation - Implement self-healing automation where feasible - Reduce alert fatigue through improved monitoring configuration - Develop operational runbooks and knowledge base documentation Qualifications - Required: - Monitoring & Observability - Azure Monitor - Log Analytics - Application Insights - Power BI dashboard development - Structured logging and alerting frameworks - Power Platform & Dataverse - Azure DevOps Pipelines - GitHub (branching strategies, PR governance) - YAML-based pipeline configuration - Power Platform Build Tools - Environment promotion strategies - Advanced Power Automate - Dataverse administration - Solution management - Power Platform ALM best practices - Preferred: - DevOps & CI/CD - Experience implementing DevOps for enterprise Power Platform environments - Familiarity with Infrastructure as Code (ARM, Bicep, Terraform) - Understanding of SRE principles - ITIL or service management experience - Experience reducing production incidents through automation Physical Demands - Ability to safely and successfully perform the essential job functions consistent with federal, state and local standards - Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. - Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard and monitor Reasonable Accommodation Statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

Title: Senior Engineer -Cloud DevOps (R-19112) Location: Hyderabad, India Workplace: hybrid Full-time Category: Technology Job Description: Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Job Summary: As a Cloud Platform / DevOps Engineer within our Cloud Engineering & Operations organization, you will play a pivotal role in designing, engineering, and operating the hybrid‑cloud platform capabilities that power our internal developer platform (IDP) and shared cloud runtimes. You will help define and scale the enterprise’s cloud‑first transformation by enabling secure, automated, self‑service infrastructure and establishing standards that accelerate delivery across AWS and GCP environments. You will partner closely with development teams, product owners, cybersecurity, and architecture groups to build reusable patterns, improve operational maturity, and drive automation at scale. This is a mid– to senior‑level engineering role requiring strong ownership, technical depth, and the ability to influence engineering practices across the organization. Key Roles & Responsibilities: • Design, engineer, operate, and continuously evolve hybrid cloud platform runtimes across AWS and GCP • Establish and enforce standards for infrastructure provisioning, application deployment, CI/CD pipelines, container images, compute images, and configuration management within the internal developer platform • Design, implement, and maintain Infrastructure as Code using Terraform and Terraform Cloud for Business • Build, optimize, and support enterprise‑grade CI/CD pipelines using tools such as Harness, Jenkins, and GitHub Enterprise • Enable and scale developer self‑service capabilities using platforms such as GitHub Enterprise, JFrog Artifactory, SonarQube, and Backstage • Contribute to the architecture, monitoring, scalability, and lifecycle management of cloud platforms, including Kubernetes runtimes • Drive automation across infrastructure, CI/CD, image lifecycle, and operational processes using Python, Bash, and configuration management tools • Partner closely with application development teams, product owners, cybersecurity, and architecture teams to understand requirements and prioritize platform enhancements • Apply AI‑assisted engineering tools (such as Gemini or equivalent) to improve development velocity, troubleshooting, and platform operations • Operate within Agile delivery frameworks (Jira) and established ITSM processes (ServiceNow) Key Skills & Qualifications: • 8–12 years of experience in platform engineering, DevOps engineering, or cloud engineering in hybrid‑cloud environments (AWS & GCP). • 5–8 years of hands‑on experience supporting hybrid‑cloud environments across AWS and GCP. • Proficiency in designing and deploying large‑scale API Gateway and/or Apigee X solutions. • Strong proficiency with Terraform and Terraform Cloud for Business (TFC/TFCB) for Infrastructure‑as‑Code. • Strong CI/CD expertise using Harness CI/CD and/or Jenkins. • Experience enabling developer self‑service platforms using GitHub Enterprise, Artifactory, SonarQube, and Backstage. • Advanced experience with containerization and runtime platforms (Kubernetes, Docker), including scaling automated or self‑service Kubernetes environments. • Strong automation skills using Python and/or Bash and configuration management tools such as Ansible. • Strong Linux administration and troubleshooting skills across applications, networking, and systems. • Experience integrating with internal development teams and supporting APIs and integration solutions. • Proficiency with AI‑assisted engineering tools (Gemini preferred). • Excellent verbal and written communication skills suitable for collaboration and presenting to leadership. Preferred Skills & Certifications: • AWS Certified Solutions Architect (Associate or Professional) • AWS Certified DevOps Engineer (Associate or Professional) • Google Cloud Professional Cloud Architect or Professional Cloud DevOps Engineer • Experience with data or streaming platforms such as RedPanda, Databricks, Elasticsearch, or similar "This position is internally titled as Senior Engineer" All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com. Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever, a subsidiary of Employ Inc. Your use of this page is subject to Employ's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.

Role Description O time de SRE da Appmax é o guardião da alta disponibilidade e confiabilidade dos nossos sistemas. Você vai atuar de perto com os times de engenharia, integrando práticas de operação e desenvolvimento para garantir entregas robustas e alinhadas aos objetivos do negócio. Buscamos alguém apaixonado por arquiteturas Cloud Native, ferramentas open source e pelo universo SRE, com disposição constante para aprender e evoluir (Lifelong learning). O que você fará (Responsabilidades): - Administrar e evoluir ambientes AWS, garantindo alta disponibilidade e performance - Atuar em resposta a incidentes: identificar causa-raiz, implementar ações preventivas e colaborar com outros times na resolução - Identificar gargalos de performance e conduzir otimizações em sistemas e aplicações - Configurar e manter sistemas de monitoramento e observabilidade (alertas, dashboards, relatórios de status) - Desenvolver e manter automações, scripts e ferramentas para agilizar deploys, monitoramento e troubleshooting - Integrar práticas de DevOps e DevSecOps nos pipelines de CI/CD - Criar e manter documentação técnica da infraestrutura e processos operacionais - Disseminar conhecimento e boas práticas com outros times Qualifications - Cloud AWS (administração de ambientes, multi-account) - Kubernetes – EKS - Infra como Código: Terraform - Observabilidade: Elasticsearch, Zabbix, New Relic, AWS CloudWatch, Grafana - Docker e containers - CI/CD (Bitbucket Pipelines ou similar) - Bancos de dados: MySQL, PostgreSQL, Aurora, DynamoDB, ElastiCache Redis, DocumentDB - Scripting: Python e/ou Shell - Servidores Linux e Windows Requirements - Experiência em ambientes financeiros regulados (PCI Compliant, Banco Central/Pix/RSFN) - Certificações (AWS, Kubernetes, Terraform ou FinOps) - Visão de FinOps e otimização de custos em cloud - Experiência com GitOps - Segurança: HTTPS, SSL, SAST e DAST, PCI, segurança defensiva - Ensino superior em TI ou áreas correlatas (em andamento ou completo) Benefits - 💻 Todos os equipamentos e recursos necessários para realizar o trabalho em modelo presencial, híbrido ou remoto - 🌎 Ajuda de custo para despesas para quem atua no formato híbrido ou remoto - 🍟 Flexfood, assim você não precisa escolher entre VR ou VA - 🏥 Plano de Saúde e Odontológico - 🏋️‍♀️ Wellhub - 💊 Avus - 🧠 Starbem - 🩹 Convênio farmácia - 🚌 Vale transporte - ❤️‍🩹 Seguro de vida - 🐶 Plano Pet Guapeco - 📚 Upmaxter para auxiliar nos seus estudos - 🚀 Um ambiente que favorece e incentiva o desenvolvimento e o alto desempenho com checkpoints mensais de performance, práticas de 1:1, rotinas de feedbacks contínuos, acompanhamento do PDI e muito mais...

Location: This is a remote position. Residency Requirement: Candidates MUST have lived in the U.S. for at least 3 of the past 5 years and be authorized to work in the U.S. (Citizen, Permanent Resident, or EAD). Sponsorship: This position does not offer any type of sponsorship. Candidates must already be authorized to work in the U.S. (e.g., Citizen, Permanent Resident, or EAD). Clearance: Public Trust Clearance (or ability to obtain) Archesys is a technology firm specializing in innovative cloud solutions and services for clients across various industries. We pride ourselves on cutting-edge technologies, exceptional customer service, and a collaborative work environment. This is a fully remote, full-time position. We’re looking for a mid to senior-level DevOps Engineer to strengthen our end-to-end delivery and operational capabilities across CI/CD automation, build and release engineering, container security, AWS cloud enablement, and reliability tooling. This role is also highly hands-on and innovation-driven: you’ll regularly prototype new DevOps and cloud automation approaches, validate them quickly, and turn successful prototypes into reusable standards (shared pipeline modules, secure base artifacts, and repeatable infrastructure/patterns). You’ll integrate quality and security controls using tools like JFrog Artifactory/Xray, SonarQube, GitHub, Grafana, and optionally Datadog/New Relic, while building Python-based automation that reduces toil and improves consistency across environments—including AWS services such as RDS, Glue, and QuickSight. Key Responsibilities: DevOps Integration & CI/CD Pipelines: - Design, implement, and maintain robust CI/CD pipelines using Jenkins, including Shared libraries/reusable modules to standardize delivery patterns. - Build automated workflows for build, test, security scanning, artifact publishing, and deployment, including environment promotion strategies. - Integrate CI/CD with GitHub (branching strategy, PR checks, release tagging) and enforce best practices through templates and guardrails. - Implement and maintain semantic versioning practices for pipelines, artifacts, and container images to ensure traceability and prevent overwrite. Containerization & Secure Gold Image Patterns: - Build, maintain, and continuously improve Docker base “gold images” (minimal, hardened, patched) used across engineering teams. - Apply container best practices: image hygiene, least privilege, dependency pinning, SBOM awareness, and secure defaults. - Establish an image lifecycle model (build → scan → sign/promote → deprecate) and automate patching and rebuild workflows. - Artifact Management & Supply Chain Security (JFrog) - Manage artifact workflows using JFrog Artifactory (repository structure, promotion, retention, access control). - Partner with teams to remediate findings efficiently and improve overall supply chain posture over time. - Build and maintain automation using Docker Templates for deploying a new version of gold images for existing images. Cloud Infrastructure Development & Management: - Build automation and operational patterns across AWS services, including RDS, Glue, and QuickSight. - Develop and maintain Python tooling to automate cloud operations, validations, deployments, and reporting workflows. - Improve platform reliability and repeatability through automated provisioning patterns and standardized configurations. - Build and deploy AWS resources using Terraform, and deployment using CI/CD pipeline . DevOps Tooling, Quality Gates, and Observability: - Integrate and operationalize SonarQube quality gates (coverage thresholds, code smells, vulnerability checks) within CI/CD. - Support and extend observability integrations with Grafana (dashboards/alerts, operational visibility), and optionally Datadog/New Relic. - Collaborate with engineering and SRE stakeholders to reduce toil, improve incident readiness, and standardize runbooks. Cloud Infrastructure Development & Management: - Build automation and operational patterns across AWS services, including RDS, Glue, and QuickSight. - Develop and maintain Python tooling to automate cloud operations, validations, deployments, and reporting workflows. - Improve platform reliability and repeatability through automated provisioning patterns and standardized configurations. - Build and deploy AWS resources using Terraform, and deployment using CI/CD pipeline . DevOps Tooling, Quality Gates, and Observability: - Integrate and operationalize SonarQube quality gates (coverage thresholds, code smells, vulnerability checks) within CI/CD. - Support and extend observability integrations with Grafana (dashboards/alerts, operational visibility), and optionally Datadog/New Relic. - Collaborate with engineering and SRE stakeholders to reduce toil, improve incident readiness, and standardize runbooks. Security & Compliance: - Implement and manage security controls, ensuring system integrity and compliance with industry standards and organizational policies. - Work closely with the security team to monitor for vulnerabilities and implement necessary patches and updates. - Support compliance initiatives by adhering to established IT policies and guidelines. Collaboration & Documentation: - Collaborate with cross-functional teams to develop cohesive and innovative solutions. - Create and maintain comprehensive documentation outlining system architecture, procedures, and best practices. - Document procedures, configurations, and specifications, ensuring that knowledge is effectively shared across the team. - Contribute to the maintenance of a knowledge base to facilitate continuous learning and team development. - Collaborate closely with cross-functional teams to understand their needs and develop solutions accordingly. - Participate in knowledge-sharing sessions to enhance team skills and expertise. - Assist in the creation and maintenance of technical documentation, including system designs, configurations, and procedures. Professional Development: - Continuously learn and keep up to date with emerging technologies and best practices in the cloud and DevOps space. - Take part in internal and external training to develop the necessary skills and knowledge for career growth. Qualifications: Educational Background & Experience: - Bachelor’s degree in computer science, Software Engineering, or related field, or equivalent practical experience. - 4–8+ years’ experience in DevOps / Platform Engineering / CI/CD / Cloud Engineering (mid to senior level). - Strong hands-on expertise in Jenkins, including Jenkins Shared Libraries and reusable pipeline modules. - Strong knowledge of Docker and container fundamentals (container OS concepts, layering, caching, base image strategies). - Hands-on experience with JFrog Artifactory and JFrog Xray (policies, scanning, governance, promotion workflows). - Infrastructure as Code experience (Terraform / CloudFormation / Ansible). - Strong understanding of semantic versioning and release management discipline. - Solid experience with AWS and familiarity with RDS, Glue, and QuickSight. - Proficiency in Python for automation, tooling, and integrations. - Experience with DevOps tools such as GitHub, SonarQube, and Grafana. - Strong communication skills; comfortable collaborating in a fully remote environment. Nice to Have: - AWS Certifications (e.g., Solutions Architect, DevOps Engineer). - Experience with other observability tools (e.g., Datadog, New Relic, OpenTelemetry). - Contributions to open-source projects related to Grafana or observability. - Kubernetes/ECS/EKS experience (helpful but not required). - Experience in compliance-driven environments (e.g., secure baselines, audit evidence, change control). Personal Attributes: - Excellent problem-solving abilities and analytical thinking. - Strong communication skills with the ability to articulate complex technical concepts clearly. - A collaborative mindset, able to work effectively in team environments and contribute to knowledge sharing and best practices. Additional Requirements: - A willingness to continually learn and adapt to the evolving technology landscape. - Ability to work in a fast-paced environment and manage multiple projects simultaneously. All work must be conducted within the U.S., excluding U.S. territories. Some federal contracts require U.S. citizenship to be eligible for employment. You must be legally authorized to work in the U.S. now and in the future without sponsorship. As the US Government is our clientele, you may be required to obtain a public trust or security clearance. Some of our available roles are on federal contracts that require a degree or additional years of experience as a substitute. What We Offer: - Competitive salary and benefits package, including health, dental, and vision insurance, retirement plan, and generous paid time off. - Opportunity to work with a talented team of professionals on exciting and innovative projects. - Flexible work arrangements, including remote work options. - Continuous learning and development opportunities, including access to training resources and professional development programs. - A collaborative, inclusive work environment that values diversity and encourages growth. Join us at Archesys and be part of a team dedicated to delivering cutting-edge solutions for clients in the public sector. Your expertise and passion for technology will help us continue to innovate and grow. We look forward to welcoming you to our team and supporting your success as an DevOps Engineer. Archesys participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Archesys is an equal opportunity employer committed to creating a diverse and inclusive workplace. We welcome applications from all qualified candidates, regardless of race, color, religion, sex.