Cloud DevOps Engineer

Stefanini Group is a global provider of outsourcing and IT digital consulting services, and they are seeking a Cloud DevOps Engineer. In this role, you will lead the development teams in cloud strategy integration and execution, focusing on creating scalable and resilient cloud solutions that meet customer needs.

Responsibilities:

• Engage with architects, developers and technical support teams to achieve success in deployment of Cloud application services within a managed service environment
• Work with business partners, architects, and other groups to identify technical and functional needs of systems, and determine priority of needs
• Collaborate with performing teams to deliver new capabilities in business applications and/or remediate issues
• Analyze, define and document requirements for data, workflow, and logical processes
• Analyze and translate business, information and technical requirements to create patterns for solutions that integrate across applications, systems and platforms to achieve business objectives
• Assess foundational services, integration services, cloud operations and management capabilities
• Champion, communicate and rationalize approaches with business leaders, organization management and within teams to develop structured outcome of proof of fit/proof of concept
• Establish the direction for application development approaches, including tools, process and frameworks
• Support preparation of documentation including application designs, Assessments, Security Management, Implementation Plans and post implementation documentation
• Lead by example, demonstrating high performance in the areas of customer satisfaction, collaboration, teamwork, and reliability
• Participate in the establishment of local standards, patterns, and practices for cloud integration, while providing input and influence to broader organizational standards and initiatives
• Spearhead use of innovative new technology and best practices for new product and solution development initiatives
• Participate in IT strategy development, including environmental analysis, opportunity identification, business cases, business innovation, and portfolio development. Responsible for the planning and engineering of an organization's systems infrastructure
• Includes the implementation and design of hardware and software
• Monitors the performance of systems. Typically requires a bachelor's degree in area of specialty and 6-8 years of experience in the field or in a related area
• Familiar with concepts, practices, and procedures within a particular field
• Relies on extensive experience and judgment to plan and accomplish goals
• Performs a variety of complicated tasks
• Works under general supervision
• Leads and directs the work of others
• A wide degree of creativity and latitude is expected
• Typically reports to a manager or head of a unit/department

Requirements:

• Typically requires a bachelor's degree in area of specialty and 6-8 years of experience in the field or in a related area
• Familiar with concepts, practices, and procedures within a particular field
• Relies on extensive experience and judgment to plan and accomplish goals
• Performs a variety of complicated tasks
• Works under general supervision
• Leads and directs the work of others
• A wide degree of creativity and latitude is expected
• Typically reports to a manager or head of a unit/department
• Splunk Architecture & Administration
• Design and maintain distributed Splunk deployments (search heads, indexers, forwarders, deployers)
• Manage indexer clustering and search head clustering for high availability
• Configure data inputs, parsing, and index management
• Implement role-based access control (RBAC) and authentication integration
• Performance tuning and capacity planning
• Data Onboarding: Design and implement data onboarding strategies for diverse data sources
• Create and maintain props.conf and transforms.conf for data parsing and routing
• Develop source type definitions and field extractions
• Configure input specifications and monitor data quality post-onboarding
• Establish data retention policies and index lifecycle management
• Splunk HTTP Event Collector (HEC): Configure and manage HEC endpoints for REST API-based data ingestion
• Implement HEC tokens with appropriate permissions and index routing
• Troubleshoot HEC connectivity, authentication, and data formatting issues
• Scale HEC deployments for high-volume event ingestion
• Integrate cloud-native applications and serverless functions with HEC
• Splunk DB Connect: Install, configure, and maintain DB Connect app across search heads
• Create database connections and manage JDBC drivers for various database types
• Design and schedule database inputs (rising column, batch, and tail inputs)
• Optimize SQL queries for performance and minimize database load
• Configure database identity management and credential security
• Troubleshoot connection issues, query timeouts, and data ingestion gaps
• AWS Infrastructure & Services: Deploy and manage EC2 instances for Splunk components with proper sizing
• Configure VPCs, security groups, NACLs, and networking for secure Splunk communication
• Implement EBS storage optimization and snapshot strategies for Splunk data
• Leverage S3 for SmartStore architecture and backup solutions
• Use AWS Systems Manager, CloudWatch, and Auto Scaling for monitoring and automation
• Infrastructure as Code (IaC) & Automation: Terraform or CloudFormation for provisioning Splunk infrastructure
• Ansible, Puppet, or Chef for Splunk configuration management
• Python/Bash scripting for custom automation tasks
• CI/CD pipeline integration (Jenkins, GitLab CI, GitHub Actions)
• Version control with Git for infrastructure and configuration code
• Monitoring, Logging & Troubleshooting: Create Splunk monitoring dashboards and alerts for platform health
• Implement log forwarding strategies using universal/heavy forwarders
• Troubleshoot data ingestion issues, search performance, and cluster health
• Integrate AWS CloudWatch metrics with Splunk for unified monitoring
• Analyze Splunk internal logs (_internal, _introspection, _audit indexes)
• Security & Compliance: Implement encryption in-transit (SSL/TLS) and at-rest for Splunk data
• Configure AWS IAM roles and policies following least-privilege principles
• Ensure compliance with standards (PCI-DSS, HIPAA, SOC 2) for log data
• Implement backup and disaster recovery procedures
• Secure API access and credential management (AWS Secrets Manager, HashiCorp Vault)
• Cribl Stream & Cribl Edge - Data Pipeline Optimization: Deploy and manage Cribl Stream architecture (Leader nodes, Worker nodes, Worker groups)
• Configure data sources and destinations for multi-platform routing (Splunk, S3, other SIEMs)
• Design and implement pipelines for data transformation, enrichment, and reduction
• Create routes and filters to optimize data flow and reduce ingestion costs
• Implement data sampling, aggregation, and redaction for compliance and cost savings
• Configure event breakers, parsers, and field extractions within Cribl
• Manage Cribl packs for pre-built data optimization solutions
• Integrate Cribl Stream with Splunk HEC and S3 for hybrid storage strategies
• Monitor pipeline performance and troubleshoot data flow issues
• Implement GitOps workflows for Cribl configuration management
• Cribl Edge Competencies: Deploy and manage Cribl Edge fleets for distributed edge data collection
• Configure Edge nodes as lightweight agents replacing traditional forwarders
• Implement centralized management of Edge fleets through Cribl Cloud or Stream Leader
• Collect data from edge sources (logs, metrics, Windows events, syslog)
• Perform edge-side data processing to reduce bandwidth and central processing load
• Configure auto-discovery and dynamic data source management
• Manage Edge node updates, configuration versioning, and fleet-wide deployments
• Monitor Edge node health and connectivity across distributed environments
• Implement edge-to-cloud data routing strategies for hybrid architectures
• Incident Management & Service Request Support: Triage and respond to platform incidents following ITIL or similar frameworks
• Diagnose and resolve P1/P2 incidents affecting Splunk availability or data ingestion
• Perform root cause analysis (RCA) and create post-incident reports
• Coordinate with cross-functional teams during major incidents
• Implement corrective and preventive actions to reduce incident recurrence
• Maintain on-call rotation and provide 24/7 platform support
• Service Request Management: Process user access requests (account creation, role assignments, permission changes)
• Handle data onboarding requests for new applications and data sources
• Fulfill infrastructure change requests (index creation, retention policy updates, capacity expansion)
• Coordinate app installations and updates on search heads
• Provision and configure new forwarders, HEC tokens, or DB Connect inputs
• Create custom dashboards and reports based on user requirements
• Ticket Management & Communication: Utilize ticketing systems (ServiceNow, Jira Service Management, Remedy)
• Document troubleshooting steps and resolution procedures
• Maintain SLA compliance for incident response and service request fulfillment
• Communicate effectively with stakeholders on status updates and timelines
• Create and maintain knowledge base articles for common issues
• Escalate complex issues to vendors (Splunk Support, AWS Support) when necessary
• Proactive Support: Conduct health checks and performance reviews
• Identify trending issues and implement preventive measures
• Provide user training and guidance on Splunk best practices
• Participate in change advisory board (CAB) meetings for platform changes
• Agile Methodology & Project Collaboration: Participate in sprint planning, daily stand-ups, sprint reviews, and retrospectives
• Commit to sprint goals and deliver incremental value within 2-week sprint cycles
• Collaborate with Scrum Master to remove impediments and optimize team velocity
• Contribute to backlog refinement and story estimation sessions (story points, planning poker)
• Demonstrate completed work during sprint reviews and incorporate feedback
• Identify process improvements during retrospectives for continuous team enhancement
• Work within continuous flow model with WIP (Work in Progress) limits
• Manage work items through defined workflow stages (To Do, In Progress, Review, Done)
• Prioritize tasks dynamically based on business value and urgency
• Monitor cycle time and lead time metrics for process optimization
• Participate in Kanban board reviews and workflow refinement
• Balance operational support work with project-based initiatives
• Write clear, concise user stories with acceptance criteria following 'As a [user], I want [goal], so that [benefit]' format
• Break down epics into manageable user stories and technical tasks
• Define technical requirements, dependencies, and effort estimates
• Update story status, track progress, and document blockers in real-time
• Create technical debt and bug stories with appropriate prioritization
• Maintain story traceability through completion and closure
• Participate in backlog grooming sessions to clarify requirements and priorities
• Provide technical feasibility input and effort estimates for proposed features
• Communicate constraints, risks, and technical dependencies proactively
• Negotiate scope and timelines based on technical complexity and resource availability
• Seek clarification on ambiguous requirements before implementation
• Provide regular status updates on work progress and potential delivery impacts
• Offer alternative technical solutions to meet business objectives
• Present completed work demonstrations and gather stakeholder feedback
• Utilize project management tools (Jira)
• Maintain transparency through accurate story updates and burndown tracking
• Participate in capacity planning and release planning activities
• Contribute to definition of done (DoD) and team working agreements
• Practice iterative development with continuous integration and delivery
• Master's Degree
• AWS Certification (Certified Developer or Solutions Architect)
• 6+ years software development experience
• 2+ years of experience in Agile
• 2+ years of experience in deploying Red Hat OpenShift Container Platform solutions
• 2+ years of experience in deploying cloud-based solutions
• 2+ years of experience in deploying hybrid cloud-based solutions
• Master's degree from an accredited college or university with specialization in an Information Technology field, or an equivalent combination of related education and work experience
• Minimum eight years of broad technical experience in one or more phases of information technology and management information systems
• Experience to include managing highly complex IT efforts and / or operations
• Eight years of information technology experience directly related to software design and development, of which 2+ years focused on cloud architecture, design, and implementation
• Excellent oral and written communication, presentation, leadership, interpersonal, collaborative/relationship-building, organizational & planning, and analytical & problem solving skills
• Demonstrated experience being part of a high velocity DevOps team
• Practical articulation of IaC - thorough knowledge and practical experience implementing container management concepts and practices using OCP, Kubernetes, and Docker
• Innate experience with and application of Agile principles
• Highly proficient in Java Fullstack Engineering, development and Cloud technology platforms: Cloud-native Architecture: Well Architected Framework, 12 Factor App, Cloud Reference Architectures, Cloud Service Models, Microservices architecture, Serverless architecture, Decoupled UI including JavaScript frameworks (AngularJS, React), single page applications, and modern web applications
• Cloud Strategy: Business case development, Application assessment and migration planning, Cloud operating model design
• Cloud Security: Shared Security Model, Cloud Security Architecture, IAM policies/roles, WAF, OWASP Web/API, SAML, vulnerabilities and compensating controls (CSP, CSRF, XSS, SQLI) etc
• Cloud-native Services: Optimization of applications to scalable cloud designs, designing, arch and integration of applications to modern cloud patterns
• Containerization (Docker) and container orchestration (Docker Swarm, Kubernetes), Infrastructure as Code
• Cloud-native monitoring, logging - ELK, Splunk, CloudWatch, amongst others
• Application Integration Services - RestAPI, API gateway ex. MuleSoft
• Well-versed in Agile software development practices & ability to contribute to sprint ceremonies such as, Refinement, Planning, Review, Retrospectives
• Well-versed in Continuous Integration and Continuous Delivery (CI/CD) practices, automated testing, Automated code quality scanning, and Automated Deployments. ex Deploy XL , Deploy Release, Subversion, Jenkins, Jira, Remedy
• Demonstrated experience in mentorship and serving as technical subject matter expert (SME) for a development team
• Experience in the Finance industry or experience developing solutions involving financial products is a plus