QA Automation Engineer

• Design, implement, and operate Python-based playbooks, actions, integrations, and agents on the Luna platform
• Partner directly with GSOC CSIRT analysts and incident responders to translate their tradecraft into trustworthy, auditable automation
• Extend Luna's agentic capabilities into the GovCloud environment
• Use AI-assisted software development tooling fluently and intentionally
• Drive end-to-end ownership of the work you build: scoping, design, implementation, testing, deployment, observability, on-call support, and post-incident hardening
• Raise the bar for the team's engineering practices
• Support the team's engineering excellence by performing code reviews and mentoring other engineers
• Business hour on-call to support software services owned by the team
• Build and ship high-quality, production-grade software using modern engineering practices.

Senior Software Engineer – Agentic & Automation Engineering

• Investigate and document customer data sources and build agentic AI-powered workflows.
• Design and build scalable ETL/ELT pipelines that ingest, transform, and deliver data across Adobe Experience League's MarTech platforms.
• Develop and maintain automation workflows that reduce manual data handling and improve data quality across the marketing tech stack.
• Partner with marketing, content, and analytics partners to translate business requirements into robust data engineering solutions.

Senior Data Automation Engineer

• Develop and maintain internal tools and systems that automate existing work and increase productivity using AI
• Rapidly prototype AI-enabled utilities/automations and deploy them into production
• Troubleshoot and resolve automation issues and recommend preventive actions
• Partner with teams across I&O to identify high-impact automation opportunities
• Communicate system issues, resolution plans, and recommendations clearly

I&O Automation Engineer

• Apply automation engineering knowledge and coordinate with other organizations to improve manufacturing operations
• Own all phases of project execution from concept development through deployment and adoption
• Provide technical guidance on development of complex automation architectures
• Conduct comprehensive safety risk assessments and implement layered safety controls
• Plan, prioritize, and manage multiple automation projects
• Lead cross functional teams to ensure effective deployment to live production
• Prioritize tasks to ensure that the team’s overall resources are used effectively and that deadlines are met
• Maintain current knowledge of Industry 4.0 technologies and incorporate into project proposals
• Provide expert level guidance for hands-on programming of automated control systems and robots as projects require
• Mentor engineers within the team or within operations on how to develop and maintain automated manufacturing systems
• Effectively communicates with operations, management, and technical leadership on proposals and active projects

Senior Principal Automation Engineer – Advanced Manufacturing Systems

• Lead the end-to-end design and delivery of scalable, secure, and intelligent data products and AI automation solutions that support HackerOne's transformation into an AI-first organization.
• Build, optimize, and maintain data pipelines and infrastructure that serve as the foundation for AI-powered systems and agentic operations.
• Design and deploy AI-powered automation solutions that eliminate routine, manual work and unlock human capacity for strategic direction, creativity, and edge-case governance.
• Partner across business and engineering teams to identify high-leverage opportunities for automation, integration, and system modernization.
• Drive the architecture and execution of platform-level capabilities, leveraging AI and modern tooling to reduce manual effort, improve decision-making, and increase system resilience.
• Provide technical leadership to internal engineers and external development partners, ensuring design quality, operational excellence, and long-term maintainability.
• Shape and contribute to our incident and on-call response strategy, playbooks, and processes, focusing on building systems that fail gracefully and recover quickly.
• Act as a multiplier to mentor other engineers, advocate for technical excellence, and promote a culture of innovation, curiosity, and continuous improvement.
• Champion effective change management and enablement, ensuring systems are not only launched, but adopted, understood, and evolved.

Senior AI Automation Engineer

• Architect and implement DevOps automation solutions that support enterprise identity lifecycle, governance, access management, and provisioning capabilities
• Lead the development of CI/CD pipelines, automation workflows, and IaC (Infrastructure‑as‑Code) supporting hybrid ICAM environments (on‑prem and cloud)
• Design and deliver scalable identity automation for high‑volume onboarding/offboarding, multi‑population identity models, and multi‑tenant environments
• Implement and support cloud‑based identity and access governance solutions, including SailPoint, Saviynt, or similar platforms
• Support modernization initiatives including legacy IAM migrations, directory consolidation, SSO federation, provisioning upgrades, and authoritative data remediation
• Develop and maintain automation runbooks, operational procedures, SLA frameworks, and audit‑ready evidence supporting access governance and privileged access workflows
• Build and optimize connectors, role‑based access frameworks, certifications, approvals, separation‑of‑duties logic, and role mining/design pipelines at scale
• Apply AI/ML‑assisted analytics in IGA platforms (such as Saviynt) for anomaly detection, certification prioritization, identity risk scoring, and entitlement recommendations
• Collaborate with security architects to ensure IAM automation aligns with Zero Trust principles, cloud security, API security, and data protection requirements
• Support federated identity architecture by coordinating with enterprise partners, including external organizations and multi‑entity user communities
• Engage with engineering teams, product owners, and program leadership to ensure automation solutions meet performance, compliance, and security standards
• Contribute to continuous improvement, innovation, and engineering best practices across the ICAM program

DevOps Automation Engineer

• Architect and deliver AI-powered automation solutions for production operations, including intelligent incident triage, root cause analysis, remediation, and prevention
• Design Agentic AI workflows that autonomously monitor systems, analyze anomalies, trigger corrective actions, and orchestrate recovery across ERP, supply chain, and integration layers
• Apply AIOps techniques to correlate metrics, logs, events, and traces for predictive alerting, noise reduction, and proactive reliability improvements
• Develop LLM-enabled runbooks and intelligent assistants to guide operational decision-making, accelerate incident response, and upskill operations teams
• Own platform stability, uptime, and performance across Oracle EBS/ERP, Oracle Fusion Cloud, and supply chain execution systems
• Lead incident management, coordinating rapid response, containing impact, and ensuring SLA adherence
• Conduct blameless postmortems, using AI-assisted RCA to identify systemic issues and drive automation-first corrective actions
• Provide advanced production support for Oracle EBS/ERP modules including Procurement, Order Management, Inventory, AR, AP, FA, Project Accounting, and Supply Chain Planning
• Troubleshoot complex issues across configuration, master data, transactions, batch jobs, interfaces, and integrations, leveraging deep SQL and system-level analysis
• Monitor and support 3rd-party platforms (O9, Blue Yonder/JDA, RELEX) and integrations with WMS, 3PL, and logistics providers
• Build and evolve AI-augmented observability solutions using tools such as Dynatrace, AppDynamics, Splunk, ELK, Grafana, and custom ML models
• Implement predictive health monitoring, capacity forecasting, and intelligent service-level indicators (SLIs/SLOs)
• Collaborate with middleware, cloud, and vendor teams to resolve cross-system defects, data mismatches, latency issues, and sequencing problems
• Support release management, ensuring changes meet reliability, security, and performance standards
• Participate in on-call rotations, with a strong emphasis on automation and AI-driven reduction of recurring incidents.

Lead System Engineer – AI Automation, SRE Focus

• Implement and support CI/CD pipeline, ensuring the integration of security practices throughout the software development lifecycle.
• Support DevSecOps efforts to ensure delivery of a demand model leveraging continuous everything to reduce defects while increasing productivity and time-to-market
• Assist with the establishment of CI/CD pipeline guidelines, standards, and strategies
• Communicate with development teams to ensure adherence to CI/CD guidelines and standard DevSecOps processes
• Support the technical planning, configuration, integration, verification, and validation of the pipeline toolchain
• Implement automated methods to improve system performance and reliability, including scripting, integration, and problem resolution related to the CI/CD pipeline toolchain
• Quickly learn business workflows, technical architecture, and dependent systems of the supported services
• Collaborate with cross-functional teams to integrate various DevSecOps practices as part of a CI/CD implementation
• Troubleshoot issues within the pipeline and provide solutions
• Stay updated with the latest DevSecOps trends, tools, and best practices
• Contribute to the continuous improvement of our DevSecOps processes and tooling
• Support the implementation of security measures throughout the CI/CD pipeline
• Assist in the creation and maintenance of documentation for DevSecOps processes and tools.

DevOps Engineer, Automation

• The Network Automation Engineer will be responsible for planning, designing, developing, and implementing Network Automation.
• This role will manage how we can expedite, consistently support, and unify our networks from an automation perspective.
• This scope will include writing and optimizing provisioning workflows and automating routine tasks, such as service delivery automation, and developing applications to facilitate and manage Network Automation.

Network Automation Engineer

• Support development of Python-based tools for document scanning, extraction, and processing
• Assist in automating workflows using PowerShell and Microsoft 365 services
• Work with SharePoint Online libraries, metadata, and document structures
• Contribute to data migration activities from file shares to SharePoint Online
• Help implement and test document classification and records management processes
• Analyze file metadata and content to support categorization and compliance efforts
• Collaborate with senior engineers on integrating AI services (e.g., Azure OpenAI)
• Perform testing, validation, and troubleshooting of automation pipelines
• Document scripts, processes, and technical configurations

See all jobs on JobTailor