DevOps Engineer

• Utilize infrastructure as code (IaC) tools, such as Terraform and Ansible, to automate the provisioning of cloud resources and integrate Crossplane to extend IaC capabilities across multiple cloud providers.
• Deploy and manage Kubernetes clusters to ensure scalability, performance, and reliability.
• Develop, maintain, and optimize Continuous Integration and Continuous Deployment/Delivery (CI/CD) pipelines for automated testing and build and deploy applications within Kubernetes environments, incorporating package management tools to handle application dependencies.
• Deploy and manage Crossplane in Kubernetes clusters to unify and automate multi-cloud infrastructure provisioning and management.
• Design and implement the least privileged access policies to ensure that users and services have only the necessary permissions.
• Review and update Identity and Access Management (IAM) policies and roles to adapt to changing project requirements and security best practices.
• Configure Amazon Web Services (AWS) GuardDuty, AWS Web Application Firewall (WAF), and AWS Shield Advanced at scale for comprehensive cloud security management and threat mitigation.
• Set up and build IAC modules to produce AWS accounts based on approved blueprints, ensuring standardized infrastructure compliance and security protocols.
• Work with Python; Rest APIs; AWS; GCP; Capella; Enterprise Redis; Mongo; Cloudformation; Terraform and Ansible; Docker and Kubernetes; DevOps; CI/CD; GitOps and Agile methodologies; deployment and infrastructure orchestration frameworks; CI/CD pipelines; Github; AWS Code Suite; GCP Cloud Build; deploying and running code; and, using Docker and Kubernetes.

DevOps Engineer III

• Work with Cloud technologies, including VPC, Route53, IAM, S3, Lambda, API Gateway, CloudFormation, ALB, VPCs, CloudWatch, ECS and EKS, and auto-scaling
• Utilize Infrastructure as Code (IaC) technologies, including AWS CloudFormation and Terraform
• Manage container technologies, including Kubernetes and Docker
• Perform metrics gathering and health monitoring of applications and systems using AWS CloudWatch and Elasticsearch
• Develop automation workflows and scripts for integrating multiple IT systems, using Python and PowerShell
• Administrate corporate applications, including GitHub, Okta, Jira, Confluence, Slack, Netskope, Active Directory, and SCCM

Senior Devops Engineer

• Lead complex, broad impact initiatives including provision of high-level systems consultation for the technology teams
• Work as key participant in large scale planning of computer systems and network infrastructure for Systems Operations functional area
• Review and analyze complex technical challenges, as well as escalated support issues related to core business solutions that require in depth evaluation of multiple factors, such as alternatives, enhancements, periodic systems reviews, or improvements to existing systems
• Make decisions on technical changes and enhancements
• Consult with engineering team on change design requiring solid understanding of technical process controls or standards that influence and drive new initiatives
• Collaborate and consult with technical peers, colleagues, and mid to more experienced level managers to resolve systems support issues and achieve goals

Senior Lead Systems Operations Engineer

• Augments CBO engineering team to extend infrastructure automation and secure delivery in a hybrid cloud environment.
• Maintains/extends Terraform & OpenTofu IaC (modular configs, remote state).
• Develops Ansible playbooks/roles (CaC, patching, compliance).
• Builds GitHub Actions CI/CD with security gates (SAST, dependency/secrets scanning, policy-as-code).
• Manages Docker image hardening and Kubernetes/Helm orchestration with vulnerability scanning.
• Integrates Shift-Left security and CIS/CBO baselines.
• Inherits existing patterns (no design-from-scratch); works within CBO change advisory, version control, peer review.

DevSecOps Engineer

• Own and operate security tooling, manage key vendor relationships, and drive application and cloud security programs forward
• Secure AWS infrastructure, systems, and networking
• Review infrastructure-as-code (Terraform) changes for security implications
• Monitor and triage security alerts across dedicated channels
• Manage the vCISO relationship and own the annual penetration test lifecycle
• Run tabletop exercises and maintain the incident response playbook

Senior DevSecOps Engineer

• Performing day-to-day operational/DevOps tasks on Wikimedia’s public facing infrastructure (deployment, maintenance, configuration, troubleshooting)
• Implementing and utilizing configuration management and deployment tools (Puppet, Kubernetes)
• Leading continuous improvement, by automating the installation, configuration and maintenance of services on our platform
• Working closely with product teams helping them bring scalable functionality to our users by assisting in the architectural design of new services and making them operate at scale
• Participating in a 24/7 on-call rotation shared across the broader SRE team. This includes taking part in incident response, diagnosis and follow-up on system outages or alerts across Wikimedia’s production infrastructure.
• Collaborating with a global, cross-functional team in an asynchronous communication environment
• Mentoring peers in your areas of technical and operational strength

Senior Site Reliability Engineer

• Build relationships across the broader IT organization to increase adoption and maturity of SRE, Observability, and Resilience practices
• Define and evolve the strategic vision for enterprise reliability engineering and ensure alignment across product, platform, and ITSM teams
• Establish and enforce standards for Service Level Objectives, observability frameworks, and resilience engineering practices
• Collaborate with engineering teams to ensure reliability is embedded into architecture, design, and delivery processes
• Drive adoption of Service Level Objectives using Nobl9 as the system of record for reliability governance
• Lead evaluation and introduction of new technologies that improve reliability outcomes while integrating with existing platforms
• Apply AI capabilities to enhance reliability practices, including incident triage, diagnostics, and automation, in a governed and controlled manner
• Collaborate within efforts to standardize observability across logs, metrics, traces, and events to improve system visibility and decision-making
• Consult and promote resilience patterns including fault isolation, failover strategies, and recovery mechanisms
• Guide improvements surrounding incident lifecycle effectiveness, including detection, response, root cause analysis, and continuous improvement
• Lead and mentor a community of reliability practitioners to grow organizational capability and maturity
• Represent reliability engineering practice in architecture reviews, governance forums, and key IT initiatives
• Drive continuous improvement of reliability practices through research, innovation, and feedback from engineering teams

Senior Staff Reliability Engineer, Software Engineering

• Perform hardware stack maintenance on Dell servers, Cisco switches, and cable systems.
• Upgrade infrastructure components and tools to maintain performance and compatibility.
• Monitor for threats (including tracking CVEs) and execute timely remediation/mitigation of security issues.
• Maintain and configure monitoring and log collection systems (e.g., Prometheus, Grafana, ELK stack or similar).
• Lead incident management: rapidly detect, respond to, and resolve system failures in development and production environments.
• Expand capabilities of security tools such as Trivy, Dependency-Track, WAF, and others.
• Conduct regular security audits and deliver infrastructure security training to the team.
• Lead migration of Jenkins from Freestyle Projects to Pipeline Projects, leveraging AI-assisted approaches where applicable.
• Conduct R&D to evaluate replacing Jenkins with alternative CI/CD tools and recommend/implement improvements.
• Perform R&D on Service Mesh integration (e.g., Istio/Linkerd) and support future implementation.
• Develop various integrations related to AI solutions and cloud-native services.

• Designing and managing cloud environments and creating modern automation tools
• Building and deploying continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
• Implementing various development, testing, automation tools, and security strategies
• Supporting the delivery of quality code that adheres to standards and methodologies
• Performing incident management and root cause analysis, and leveraging observability tools
• Managing periodic progress reporting

• Work directly with customer business and technology teams to design, build, and deploy AI-driven solutions
• Engage in product discovery, partner with customer stakeholders
• Translate business objectives into a clear delivery plan
• Build production-grade services, APIs, and workflow integrations using Python
• Design and deploy cloud-native components on AWS
• Troubleshoot issues in real environments
• Drive adoption by aligning stakeholders with solutions

Forward Deployment Engineer

• Designing, deploying, and maintaining highly available, scalable Kubernetes clusters on AWS EKS as well as the supporting ecosystem.
• Managing and optimizing cross-portfolio cloud infrastructure, leveraging AWS services and supported organizational tooling.
• Developing and maintaining Infrastructure as Code (IaC) solutions to automate provisioning and management of cloud and Kubernetes resources.
• Writing automation processes to streamline operational workflows, incident response, and infrastructure management.
• Implementing CI/CD pipelines to facilitate deployments, testing, and validation.
• Supporting multi-regional critical infrastructure, ensuring high availability and rapid incident resolution.
• Monitoring system health, instrument system components, troubleshoot issues, and perform root cause analysis.
• Managing and supporting a complex cross-portfolio environment, coordinating across teams to ensure consistency and reliability.
• Maintaining comprehensive documentation and best practice guides for solutions, ensuring users have clear instructions and support to effectively implement and operate their systems.
• Mentoring junior team members and promoting best practices in SRE, automation, and cloud architecture.

• Design, deploy, and operate enterprise artifact repository platforms supporting cloud and hybrid environments.
• Define and enforce package curation, promotion, and trust models aligned with application security and compliance requirements.
• Implement and govern waiver and approval workflows for dependency and artifact usage, ensuring risk-based decision‑making.
• Partner with AppSec, platform, and engineering teams to standardize secure dependency and artifact consumption patterns.
• Define and maintain repository architectures supporting multiple environments, teams, and trust boundaries.
• Enforce policies ensuring artifact immutability, provenance, versioning, and trusted sourcing.
• Integrate artifact repositories into CI/CD pipelines built on GitHub, Jenkins, and Azure DevOps.
• Embed security controls for AI/ML and GenAI workloads within CI/CD pipelines and developer workflows.
• Define and enforce secure usage patterns for LLMs and AI services, including prompt handling, data protection, and model access controls.
• Implement safeguards against AI-specific threats, including prompt injection, model poisoning, data leakage, and insecure model outputs.
• Integrate AI security scanning and validation into build pipelines, ensuring safe model usage and dependency integrity.
• Collaborate with engineering teams to establish secure-by-design AI application architectures.
• Ensure compliance with enterprise Responsible AI policies (data privacy, bias management, model governance).
• Secure AI-related secrets, tokens, and API access used in pipelines and applications.
• Monitor and respond to security risks introduced by AI/ML components, including third-party models and APIs.
• Contribute to AI risk governance, auditability, and traceability across the SDLC.
• Stay current on emerging AI security threats, vulnerabilities, and regulatory expectations.
• Align artifact and dependency controls with cloud security best practices for deployed applications.
• Monitor usage, risk posture, and effectiveness of artifact controls and drive continuous improvement.
• Develop automation and policy‑as‑code for artifact lifecycle management, approvals, and governance.
• Support security incident investigations related to software supply chain integrity or dependency risk.
• Create documentation, standards, and enablement materials for secure developer adoption.

DevSecOps Architect – Artifact Management, Software Supply Chain Security

• Design, implement, and operate application security controls integrated into CI/CD pipelines, ensuring secure software delivery by default.
• Embed automated AppSec checks across code, dependencies, builds, and deployment workflows aligned with shift‑left principles.
• Define and maintain secure CI/CD reference architectures and patterns for enterprise cloud-native applications.
• Partner with engineering teams to integrate security seamlessly into developer workflows, minimizing friction and manual intervention.
• Develop reusable pipeline templates, policy controls, and automation to scale AppSec and DevSecOps practices across teams.
• Secure pipeline infrastructure and credentials, protecting against build manipulation, secret leakage, and provenance risks.
• Integrate CI/CD security findings with broader application and cloud security monitoring workflows.
• Investigate and respond to application and pipeline-related security findings, partnering with Security Operations as required.
• Contribute to cloud security posture by aligning pipeline and application controls with cloud security best practices.
• Embed security controls for AI/ML and GenAI workloads within CI/CD pipelines and developer workflows.
• Define and enforce secure usage patterns for LLMs and AI services, including prompt handling, data protection, and model access controls.
• Implement safeguards against AI-specific threats, including prompt injection, model poisoning, data leakage, and insecure model outputs.
• Integrate AI security scanning and validation into build pipelines, ensuring safe model usage and dependency integrity.
• Collaborate with engineering teams to establish secure-by-design AI application architectures.
• Ensure compliance with enterprise Responsible AI policies (data privacy, bias management, model governance).
• Secure AI-related secrets, tokens, and API access used in pipelines and applications.
• Monitor and respond to security risks introduced by AI/ML components, including third-party models and APIs.
• Contribute to AI risk governance, auditability, and traceability across the SDLC.
• Stay current on emerging AI security threats, vulnerabilities, and regulatory expectations.
• Author documentation, standards, and training to drive developer adoption of secure CI/CD and AppSec practices.
• Continuously evaluate emerging application security and software supply chain threats and improve controls accordingly.

DevSecOps Architect – CI/CD, Application Security

Lead Systems Operations Engineer

• design, implement, and continuously improve secure software delivery pipelines and DevSecOps engineering capabilities across the enterprise
• lead implementation of application security controls including static analysis, dependency validation, secret detection, container security, and infrastructure-as-code security validation
• drive maturation of secure software development lifecycle (SSDLC) practices including secure coding standards, threat modeling, security validation, and vulnerability remediation workflows
• develop scalable automation and engineering solutions to improve security, consistency, and operational efficiency across development and deployment workflows
• troubleshoot and resolve complex DevSecOps tooling, integration, and engineering issues across development and platform environments
• define and maintain DevSecOps standards, secure engineering patterns, and operational best practices
• partner closely with application development, platform engineering, infrastructure, cloud, and cybersecurity teams to integrate security into engineering and deployment processes
• influence architecture and design decisions related to secure software delivery and application security
• serve as a senior technical resource during complex application security or DevSecOps-related incidents and operational issues
• support engineering teams in addressing security findings, remediation planning, and operational improvements
• communicate technical risks, architectural concerns, and security recommendations clearly to stakeholders
• design and implement advanced automation supporting secure development, validation, and operational engineering workflows
• improve engineering reliability, observability, and operational readiness of DevSecOps tooling and integrations
• mentor junior engineers through technical guidance, code reviews, and engineering best practices
• influence DevSecOps tooling strategy and operational improvements through hands-on technical expertise
• maintain comprehensive documentation for engineering standards, automation, workflows, and integrations

Senior Cybersecurity DevSecOps Engineer

• Define and drive the organization’s DevSecOps architecture and long-term technical strategy
• Architect enterprise-scale secure software delivery and application security capabilities
• Establish DevSecOps engineering standards, secure design patterns, and reference architectures
• Lead design and implementation of scalable security controls within software delivery pipelines
• Influence major technology and platform decisions related to secure software development
• Anticipate emerging application security threats, software delivery risks, and engineering trends
• Serve as the senior technical authority for DevSecOps and secure software delivery across the enterprise
• Influence enterprise architecture, platform engineering, and software delivery initiatives
• Provide authoritative guidance during high-impact application security incidents
• Mentor senior engineers and shape technical leadership across DevSecOps functions
• Drive continuous improvement of DevSecOps maturity and secure engineering effectiveness

Lead Cybersecurity DevSecOps Engineer

• Partner with offshore and onshore engineering teams to design, implement, and scale cloud-native infrastructure supporting a new customer portal and ongoing platform refactoring efforts
• Architect, build, and maintain Kubernetes-based environments that power production systems, ensuring scalability, resilience, and security
• Lead Infrastructure as Code initiatives (primarily Terraform) to automate provisioning, configuration, and environment consistency across AWS
• Design, implement, and optimize CI/CD pipelines to improve deployment velocity, reliability, and developer experience
• Integrate and operationalize MLOps practices, enabling efficient deployment, monitoring, and lifecycle management of machine learning workflows
• Embed DevSecOps best practices across the platform, incorporating security controls, compliance requirements, and monitoring into the development lifecycle
• Drive automation initiatives that reduce manual processes and increase system reliability and repeatability
• Collaborate closely with Platform, Engineering, and cross-functional stakeholders to gather requirements, troubleshoot issues, and continuously improve system architecture
• Monitor system performance, identify bottlenecks, and proactively implement improvements to optimize availability and cost efficiency
• Support incident response and root cause analysis efforts, driving long-term fixes and ensuring lessons learned translate into system improvements

Senior DevOps Engineer

• Performing day-to-day operational/DevOps tasks on Wikimedia’s public facing infrastructure (deployment, maintenance, configuration, troubleshooting)
• Implementing and utilizing configuration management and deployment tools (Puppet, Kubernetes)
• Leading continuous improvement, by automating the installation, configuration and maintenance of services on our platform
• Work closely with product teams helping them bring scalable functionality to our users by assisting in the architectural design of new services and making them operate at scale
• Participating in a 24/7 on-call rotation shared across the broader SRE team. This includes taking part in incident response, diagnosis and follow-up on system outages or alerts across Wikimedia’s production infrastructure.
• Collaborating with a global, cross-functional team in an asynchronous communication environment
• Mentoring peers in your areas of technical and operational strength
• Ability and willingness to travel 1-2 times a year for in-person events and team meetings

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