QA Automation Engineer

• Transform the future of mobility industry by developing solutions for autonomous vehicles, electric mobility, and digitalisation.
• Help global automotive giants to optimise performance and sustainability through continuous innovation.
• Work on projects that integrate the latest technologies to enhance vehicle safety, efficiency, and environmental impact.

Automation Engineer – Support Engineering

• Design, build, test, and iterate on data science, machine learning, and Generative AI (GenAI) solutions aligned to pod objectives
• Perform data exploration, feature engineering, model training, evaluation, and validation
• Implement solutions that are scalable, maintainable, and aligned with enterprise architecture
• Execute assigned work items to meet sprint and increment commitments aligned to the product roadmap
• Identify and communicate technical risks, assumptions, data limitations, and trade-offs to the Pod Lead
• Work closely with the Data Science Pod Lead to align technical work with pod-level direction
• Ensure models and analytics meet quality, performance, security, reliability, and compliance standards

Automation Engineer

• Implement and maintain automated test suites for cloud-native applications and services
• Collaborate with developers, QA, and product stakeholders to identify test areas with high ROI
• Develop reusable test components and contribute to automation infrastructure improvements
• Analyze test results, identify issues, and participate in defect resolution discussions
• Support CI/CD integration efforts by embedding automation into build and release workflows

Senior Automation Engineer

• Design, develop, and maintain automation scripts and playbooks using Ansible and Terraform
• Develop and maintain integration tools and scripts using Python
• Create and consume RESTful APIs to integrate systems and services
• Contribute to open-source projects and maintain internal GitHub repositories
• Collaborate with DevOps, platform, and development teams to implement CI/CD pipelines and automate operational processes
• Troubleshoot automation failures and improve reliability, scalability, and performance of automation systems

• SOAR Engineering & Automation
• Design, develop, implement, and maintain SOAR playbooks and automation workflows for SOC operations.
• Build scalable security orchestration workflows for:
• Alert triage
• Automated enrichment
• Threat intelligence correlation
• Incident response
• Containment workflows
• Identity-based investigations
• Case management
• Reporting automation
• Reporting automation
• Implement and maintain integrations between SOAR platforms and various security technologies using APIs, webhooks, SDKs, and custom connectors.
• Develop automation logic to improve SOC efficiency, reduce analyst fatigue, and accelerate Mean Time to Respond (MTTR) and Mean Time to Resolve.
• Support SOAR platform lifecycle management including upgrades, change management, testing, governance, RBAC, and operational maintenance.
• Assist with SOAR platform administration, identity & access management, and environment hardening.
• Hands-on experience integrating and automating workflows involving:
• Microsoft Defender for Endpoint (MDE)
• Microsoft Defender XDR
• Microsoft Defender for Identity (MDI)
• Microsoft Defender for Office 365 (MDO)
• Microsoft Defender for Cloud Apps (MDCA)
• Microsoft Purview
• Microsoft Identity Protection / Entra ID
• CrowdStrike Falcon
• Threat Intelligence platforms
• (Must have) SIEM platforms (Microsoft Sentinel & Defender XDR)
• Graph API
• Ticketing platforms (Datto Autotask preferred)
• Email security solutions
• Endpoint detection & response platforms
• Identity and authentication platforms
• Cloud security solutions
• Work collaboratively with SOC Managers, SOC Team Leads, Analysts, and Security Consultants to identify automation opportunities.
• Create operational enhancements to improve detection engineering, investigation workflows, escalation efficiency, and reporting.
• Assist with scaling SOC operations using automation and AI-driven initiatives.
• Support operational maturity improvements within the SOC environment.
• Participate in incident response automation strategy discussions and implementation planning.
• Contribute to SOC transformation initiatives focused on operational scalability and service optimization.
• Contribute to AI-enabled SOC initiatives and intelligent automation projects.
• Assist in implementing AI orchestration and automation use cases within security operations.
• Research and evaluate emerging AI and automation technologies relevant to cybersecurity operations.
• Support initiatives focused on autonomous investigation workflows, enrichment intelligence, and analyst assistance capabilities.
• Coordinate automation initiatives with internal stakeholders and external vendors.
• Work closely with SOAR vendors for implementation support, troubleshooting, optimization, and feature enablement.
• Participate in project planning, implementation tracking, testing, and deployment activities.
• Maintain technical documentation, workflow diagrams, integration references, and operational runbooks.
• Support cross-functional cybersecurity projects and operational improvements

Security Automation Engineer

• Design and operate AI-powered pipelines that transform data acquisition, enrichment, and validation.
• Partner with Data Engineering and Operations to move pipelines from prototype to production.
• Design, develop, and evaluate machine learning models for data enrichment and validation.
• Implement OCR, NLP, and layout recognition pipelines for data extraction.
• Build Python-based microservices for document classification and metadata extraction.
• Integrate LLM APIs for intelligent extraction and task classification.
• Monitor and optimize model performance tracking.
• Design and implement conversational AI solutions with Amazon Connect and Amazon Lex.
• Build automated calling workflows for project updates from contractors.
• Ensure compliance with regulations for outbound communications.
• Collaborate with Data Engineers to ensure seamless ML pipeline integration with data warehouses.

Senior ML & Automation Engineer

• Lead the design, development, and maintenance of automation frameworks supporting system testing, monitoring, and operational workflows
• Develop and execute automated tests, monitoring scripts, and deployment checks supporting CI/CD and agile practices
• Collaborate with development, QA, and operations teams to enhance system stability, scalability, and performance
• Automate routine operational tasks, alerting, and incident response workflows supporting proactive maintenance and faster response times
• Support cloud deployment, environment scaling, and system upgrades to optimize performance and resilience
• Conduct root cause analysis of failures, bottlenecks, and security issues supporting continuous improvement
• Maintain comprehensive documentation of automation frameworks, processes, and operational procedures
• Evaluate new tools, frameworks, and industry best practices to improve automation, testing, and monitoring effectiveness

SRE & Automation Engineer – Cloud Monitoring, Infrastructure, Incident Management

• Perform manual and/or automated testing of voice protocols on ONTs, OLTs, and modems
• Develop and maintain test scripts using Python, Robot Framework, or Abacus
• Write test cases, prepare test plans, and execute regression and release testing
• Debug and validate issues in collaboration with development teams
• Contributes to continuous improvement of test processes and tools
• Validate voice protocol implementations on ONTs, OLTs, and modems
• Testing legacy telephony, and cable modem technologies
• Develop and maintain test scripts using test automation frameworks
• Use tools like Ameritec Fortissimo, Abacus, Spirent Test Center, and Wireshark
• Write test plans and execute test cases
• Reproduce customer-reported issues in lab environments

Voice Test Automation Engineer

• Design and implement automation solutions with Golang
• Manage Kubernetes clusters
• Build and maintain CI/CD pipelines
• Monitor automated systems and adjust for optimization
• Collaborate with development and operations teams

Golang Developer, Automation

• Playwright Automation Engineer with C Sharp skills
• Responsibilities include hands-on coding, update & maintenance
• Design, maintain and execute tests
• Create test data and perform failure analysis
• Update scripts as necessary
• Prepare and validate testing status reports and updates

Playwright, C# Automation Engineer

• Act as a design authority for an engineering discipline with low to medium complexity.
• Complete assignments on small projects or portions of larger projects in a cost-effective manner.
• Apply basic design thinking/design for excellence concepts in projects.
• Planning, monitoring, and executing application development tasks, including new product development, incremental modifications.
• Providing technical support for testing, installation, commissioning, debugging, and diagnostics activities.
• Translating conceptual designs into detailed engineering documentation through modelling, prototyping, simulation, and calculations.
• Assisting in preparing engineering proposals and presentations, and maintaining effective communication with customers and stakeholders throughout the project lifecycle.
• Identifying and managing project risks/issues, ensuring compliance with organizational standards.

• Manage large-scale PostgreSQL instances. Perform deep-dive performance tuning (vacuuming, indexing strategies, query plan analysis) and manage high-availability configurations (e.g., Patroni, Repmgr).
• Architect, deploy, and maintain MongoDB replica sets. Optimize aggregation pipelines and ensure data consistency and scaling.
• Manage Redis deployments for caching and real-time data needs. Implement Redis Sentinel or Cluster for high availability and advise development teams on data structure best practices.
• Handle migrations, version upgrades, patching, and backups across platforms to ensure zero-loss recovery point objectives (RPO).
• Utilize Dynatrace to monitor database health, create custom dashboards, and set up intelligent alerting.
• Use Dynatrace’s AI-driven insights to identify bottlenecks, deadlocks, and slow-running queries.
• Analyze trends in data growth and resource utilization to proactively scale infrastructure.
• Automate the provisioning and configuration of database environments using tools like Terraform, Ansible, or CloudFormation.
• Work with DevOps teams to integrate database schema changes and deployments into automated pipelines.
• Develop scripts (Python, Bash, or Go) to automate routine maintenance tasks and implement self-healing capabilities for common failure modes.

DBA – Reliability and Automation Engineer

• Build Our Agent Orchestrators: Your first objective is to build the agent orchestrators that connect Claude Code, MCP, Agent SDKs and Trigger.dev to our marketing stack
• Ship Marketing Automations: You'll design and ship the agentic systems that replace repetitive processes and manual reports
• Build the Claude Code Stack: You are Bark's in-house Claude expert
• Build Internal Tools Fast: When the team needs a dashboard, reviewer, annotator or ops console that doesn't exist, you ship it in days
• Own Our AI Strategy & Enable the Team: You analyse what works, deprecate what doesn't, document the winners

Marketing AI & Automation Engineer

• Teamcenter Automation Engineer Responsibilities

Teamcenter Automation Engineer

• Design, develop, and maintain robust CI/CD pipelines for application build, test, and deployment processes
• Automate infrastructure provisioning and configuration management using Terraform
• Manage and maintain GitOps-based deployments using Argo CD
• Work with AWS cloud services for hosting, deployment, and infrastructure operations
• Build, manage, and optimize container images using Docker and AWS ECR
• Deploy, monitor, and troubleshoot applications running on Kubernetes clusters
• Implement logging, alerting, and monitoring solutions using AWS CloudWatch and other monitoring tools
• Collaborate with development, QA, and operations teams to streamline release cycles
• Ensure security, scalability, and reliability of CI/CD and cloud environments
• Maintain source code repositories and branching strategies using Git

CI/CD Automation Engineer

• Develop RPA automations using Power Platform
• Collaborate with clients and stakeholders to understand automation requirements
• Create process documentation and deployment plans
• Manage integration of cloud and desktop flows
• Ensure high quality and timely delivery of automation solutions

Power Platform / RPA Automation Engineer

• Design and develop end-to-end solutions using Power Apps (Canvas and Model-Driven), Power Automate, Power BI, and Power Pages
• Build and manage automated workflows using Power Automate, including cloud flows, desktop flows (RPA), and process advisor insights
• Create interactive dashboards and reports in Power BI to support data-driven decision-making
• Collaborate with business stakeholders to gather requirements and translate them into practical low-code/no-code solutions
• Integrate Power Platform solutions with Microsoft 365, Azure services, Dataverse, SharePoint, Teams, and third-party APIs via connectors
• Establish and enforce best practices, governance standards, and security policies within the Power Platform environment
• Train and support business users and citizen developers in adopting Power Platform tools
• Monitor, troubleshoot, and optimize existing Power Platform solutions for performance and reliability
• Stay current with Microsoft's Power Platform roadmap and evaluate new features for adoption

• Own and drive end ‑ to ‑ end quality strategy for a key UEM module or domain
• Design and implement robust automation to validate complex cross ‑ component customer workflows at scale
• Influence test architecture and release readiness beyond a single scrum team
• Lead multiple quality initiatives focused on automation effectiveness and suite stability

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Senior Automation Engineer

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