QA Automation Engineer

• Build, manage, and evolve shared platform engineering capabilities across Power Platform, Dynamics 365 F&O, Azure, AWS, APIs, integrations, and digital applications
• Support and operationalize AI-enabled development workflows including local agents, Copilot-assisted engineering, orchestration services, and automated SDLC pipelines
• Design and maintain CI/CD pipelines, deployment automation, environment strategies, release controls, and platform governance standards
• Implement reusable platform services, automation frameworks, connectors, templates, shared components, and developer acceleration tooling
• Support AI and automation lifecycle capabilities including Power Platform Copilot Studio, M365 Copilot integrations, Azure AI Foundry, machine learning workflows, and agent orchestration patterns
• Build and support platform observability including telemetry, logging, monitoring, alerting, tracing, and operational dashboards
• Support automated quality engineering practices including pipeline validation, regression execution, automated testing integration, and release gating
• Implement and operationalize platform security controls including RBAC, managed identities, API security, secrets management, DLP policies, audit logging, and environment governance
• Partner with Enterprise Architecture, Cybersecurity, Cloud Engineering, and Data & AI teams to align implementations with enterprise standards and governance requirements
• Support AI governance practices including behavioral monitoring, agent lifecycle controls, Responsible AI enforcement, risk evaluation, and operational review processes
• Assist product and engineering teams with platform onboarding, automation adoption, environment provisioning, troubleshooting, and platform optimization
• Drive platform reliability, resiliency, scalability, and operational excellence across shared engineering services
• Contribute to developer experience improvements through automation, self-service tooling, standardized patterns, and reusable engineering assets
• Support cost optimization, performance tuning, and operational efficiency initiatives across cloud and platform services

Platform Engineer – AI Automation

• Your primary mandate is to accelerate delivery of business-unit solutions by building AI systems that generate, validate, and ship infrastructure-as-code – Terraform in particular – so environments are stood up faster and more consistently.
• You will architect agentic applications and workflows on AWS, apply intelligent automation across the platform and cloud operations, and pioneer emerging agentic techniques.
• As a technical leader, you will set direction, establish standards and guardrails, and mentor engineers while remaining hands-on with design and implementation.

Lead AI Engineer – Cloud Infrastructure, Automation

• Build production-grade AI systems including agents, skills, memory patterns, guardrails, and tool-use orchestration
• Build retrieval and context-engineering approaches including embeddings, semantic search, grounding, summarization, and prompt/version management
• Engineer cloud-native AI services in AWS, Azure and GCP using containers and serverless patterns
• Build well-governed APIs and integrations
• Establish evaluation, research, regression testing, and observability frameworks
• Follow defined engineering standards for reliability, security, and safe AI operation

AI Security Automation Engineer

• Build, lead, and mentor a high-performing team of AI Automation Engineers focused on advancing cybersecurity operations through automation and AI-driven innovation.
• Lead the architecture and hands-on delivery of scalable, reliable agentic AI platforms for security workflows
• Design and build production-grade AI systems including agents, skills, memory patterns, guardrails, and tool-use orchestration
• Architect retrieval and context-engineering approaches including embeddings, semantic search, grounding, summarization, and prompt/version management
• Engineer cloud-native AI solutions in AWS, Azure and GCP using containers and serverless patterns, event-driven messaging, and distributed data stores
• Optimize platform performance across latency, throughput, scalability, caching, context efficiency, and cost controls
• Build well-governed APIs and integrations that connect AI capabilities to security platforms, tools, and business processes
• Establish evaluation, research, regression testing, and observability frameworks to continuously improve quality and agent behavior
• Define engineering standards for reliability, security, and safe AI operation across the platform lifecycle
• Mentor senior & junior engineers and influence engineering direction through code reviews, architecture forums, and cross-team technical leadership.

Lead AI Security Automation Engineer

• Drive the architecture and hands-on delivery of scalable, reliable agentic AI platforms for security workflows
• Design and build production-grade AI systems including agents, skills, memory patterns, guardrails, and tool-use orchestration
• Architect retrieval and context-engineering approaches including embeddings, semantic search, grounding, summarization, and prompt/version management
• Engineer cloud-native AI services in AWS, Azure and GCP using containers and serverless patterns, event-driven messaging, and distributed data stores
• Optimize platform performance across latency, throughput, scalability, caching, context efficiency, and cost controls
• Build well-governed APIs and integrations that connect AI capabilities to security platforms, tools, and business processes
• Establish evaluation, research, regression testing, and observability frameworks to continuously improve quality and agent behavior
• Define engineering standards for reliability, security, and safe AI operation across the platform lifecycle
• Mentor junior engineers and influence engineering direction through code reviews, architecture forums, and cross-team technical leadership

Senior AI Security Automation Engineer

• Ensure that the design and engineering approach for complex features are consistent with the larger portfolio solution
• Define the technology tool stack for the solution and evaluate and adapt new testing tool/framework/practices for team(s)
• Enable team(s)/applications with Continuous Integration/Continuous Development (CI/CD) capabilities and engage with other technical stakeholders pertaining to efficient functioning of CI-CD pipeline
• Guide and influence team(s) on design and best practices for high code performance
• Provide end-to-end delivery of complex features, including automation, for either a single team or multiple teams, at the program level
• Conduct research, design prototyping and other exploration activities such as evaluating new toolsets and components for release management, CI/CD, and features
• Work with stakeholders to establish high-level solution needs and with architects for technical requirements
• Lead automation initiatives for enterprise GenAI, Data Science, Metadata, Data Quality, Event Streaming, and Analytics platforms
• Design and implement self-service automation capabilities that streamline onboarding, environment provisioning, deployment, governance, monitoring, and operational workflows
• Build automated platform services supporting the complete AI and analytics lifecycle including data preparation, experimentation, model training, deployment, inferencing, observability, and lifecycle management
• Develop Infrastructure-as-Code (IaC) solutions using Terraform and related automation frameworks to enable repeatable, scalable, and compliant infrastructure deployments
• Design and implement enterprise CI/CD pipelines, automated testing frameworks, deployment automation, and release management processes using Atlassian and related DevOps toolchains
• Partner with platform engineering and cloud teams to automate Kubernetes, container, serverless, and distributed computing environments
• Build automation solutions supporting agentic AI applications, MCP-enabled services, event-driven architectures, and enterprise AI workflows
• Drive operational excellence through platform monitoring, observability, automated remediation, performance optimization, and reliability engineering practices
• Collaborate with architecture, engineering, governance, security, and business stakeholders to ensure platforms meet enterprise standards and compliance requirements
• Conduct technical design reviews, automation assessments, code reviews, and establish engineering best practices across teams
• Provide technical leadership, mentorship, and guidance to engineering teams adopting automation-first development and operational practices
• Support key business initiatives including Consumer AML Analytics and other strategic AI platform adoption efforts

Senior Engineer – GenAI Platform Automation

• This is a senior platform automation engineering role focused on accelerating enterprise adoption of Generative AI, Data Science, Data Engineering, and Advanced Analytics capabilities across Bank of America.
• The role will lead automation initiatives that improve developer productivity, platform reliability, operational efficiency, governance, and self-service adoption across enterprise AI and data platforms.
• The successful candidate will be responsible for designing, building, and operationalizing automated platform capabilities spanning infrastructure provisioning, CI/CD, environment management, governance controls, observability, testing, deployment automation, and AI workload enablement.
• The individual will work closely with platform engineering, cloud engineering, architecture, data science, and business teams to deliver scalable, secure, and resilient automation solutions supporting the full lifecycle of AI and analytics workloads.
• This role requires strong expertise in platform automation, cloud-native technologies, Infrastructure-as-Code (IaC), DevSecOps, Generative AI ecosystem tooling, and distributed computing platforms.
• The ideal candidate combines deep engineering expertise with a passion for automation, operational excellence, and continuous platform innovation.
• Key responsibilities of the job include delivering complex features and technology, enabling development efficiencies, providing technical thought leadership based on conducting multiple software implementations, and applying both depth and breadth in a number of technical competencies.
• Additionally, this job is accountable for end-to-end solution design and delivery.

• Build Infrastructure as Code (IaC) using: Terraform, Bicep, ARM Templates, CloudFormation
• Automate provisioning of: Virtual Machines, Virtual Networks, Storage, Firewalls, Load Balancers, DNS, DHCP, Certificates
• Develop reusable automation modules and templates
• Understand Zero Trust architecture
• Manage identity and access using Azure AD/Entra ID and Active Directory
• Enforce security baselines and hardening
• Design, deploy, and manage hybrid infrastructure across: Azure, AWS, VMware vSphere, Windows Server
• Ensure high availability and scalability

Infrastructure Automation Engineer

• Develop and maintain EAG/API-gateway automation components that integrate with Government-approved CI/CD pipelines.
• Create and validate configuration-as-code, pipeline-compatible deployment artifacts, gateway promotion workflows, API validation gates, and migration automation components.
• Support automated checks for API specification quality, governance compliance, Zero Trust controls, telemetry, configuration drift, and production-readiness evidence.
• Build automation and validation evidence that supports PWS automation outcomes, including 75 percent manual onboarding reduction, 90 percent automated onboarding success rate, and 100 percent Zero Trust/governance compliance prior to production deployment.
• Troubleshoot gateway-side CI/CD integration issues, including deployment failures, configuration errors, credential/certificate dependencies, environment promotion issues, and validation gate failures.
• Support Git-based version control, branching, pull/merge request workflows, artifact repositories, and release evidence.
• Coordinate with Government CI/CD, DevSecOps, cybersecurity, identity, network, and release teams for platform-owned dependencies.
• Produce pipeline documentation, automation runbooks, validation logs, deployment evidence, rollback steps, and knowledge-transfer materials.

Gateway Automation Engineer

• Drive U.S. growth by identifying new utility/industrial automation opportunities, shaping market penetration strategy, and securing product homologation with key utilities.
• Act as a grid‑automation SME, lead pre‑sales technical activities, and support solution design across architectures, protection systems, and integration workflows.
• Contribute to vPAC and IEEE working groups, representing the company to help shape emerging grid automation standards and interoperability frameworks.
• Build strategic partnerships, represent the company at industry forums, and channel field insights to evolve offerings like SSC600, SMU600, and CogniEN.

Senior Technical Business Developer – Grid Automation

• Develops integrated transformation roadmaps aligned with the MedTech transformation framework and playbook for Continuous Improvement & Automation and Digitalization.
• Identifies process optimization, simplification, and technology opportunities that advance transformation maturity and deliver measurable business value.
• Leads current-state assessments (e.g., mapping workshops) and benchmarking to surface efficiencies and best practices, translating insights into scalable solutions.
• Builds business cases and investment proposals for transformation initiatives, including process and technology enablement solutions.
• Leads cross-functional alignment on prioritization and execution plans for transformation initiatives, including process simplification, automation/digital and capability enablement.
• Leads & coordinates all aspects of workstream roadmaps across sites, including scope, schedule, milestones, and delivery management, until the road map closure for Continuous Improvement & Automation and Digitalization.
• Manages global portfolios to track and monitor performance measures (deliverables, efficiency, and financials) and to drive transparency and accountability.
• Leads budget and planning cycles (LRFP, JU, BP, NU) to align investments with business needs and priorities.
• Establish governance process for Equipment & Instrument Lifecyle.
• Process ownership for the Equipment & Instrument Lifecyle Procedure / Test Method Validation Procedure.
• Led governance process for Performance Portfolio to ensure delivery of performance KPIs related to simplification, automation & digital across multiple sites and stakeholders.
• Led Financial Investment (LRFP, JU, BP, NU) governance Portfolio to ensure delivery of target investment, per business, sites and CARs.
• Establishes and participates in program governance, providing regular updates on progress, risks, decisions, and communications.
• Develops and executes stakeholder change management and communication plans to enable adoption and sustainment.
• Develops, drives, and executes Continuous Improvement & Automation and Digitalization maturity roadmaps in alignment with MedTech digital transformation excellence framework and playbook.
• Identifies next gen and digital solutions that will advance digital transformation maturity and enable target business value
• Identifies efficiencies through automation and digital solution projects including creating business cases
• Develops, drives, and executes process improvement projects and roadmaps in alignment with MedTech transformation strategies, framework, and playbook.
• Identifies process optimization opportunities that help deliver target transformation maturity and value
• Deploys and utilizes effective project and program risk management tools; proactively identifies, mitigates, and escalate issues as needed.
• Guides and coaches core team members and local site teams on execution, adoption of new practices, and capability building to sustain results.
• Ensures personal and organizational compliance with Company guidelines and applicable Health, Safety & Environmental practices and all Federal, State, local, and Company regulations, policies, and procedures; performs other duties as assigned.

Principal Engineer, Supply Chain Quality Excellence – Automation & Digital

• Promptly respond to customer needs and perform installations, maintenance, upgrades, and repairs using electronic and computer skills to ensure instruments meet specifications.
• Collaborate across service and support teams to drive field service revenue through billable offerings like preventive maintenance and equipment moves.
• Lead customer expectations, by communicating work performed and providing follow up plan if needed.
• Collaborate with customers to proactively schedule and complete system upgrades as needed.
• Report and document all customer complaints in appropriate systems of record for resolution and investigation.
• Maintain spare parts inventory, company-issued vehicle, and all assigned equipment (e.g., laptop, tools, test devices) in good condition and per policy.
• Demonstrate good judgment in utilization of company credit card, while adhering to expense levels within the established business guidelines.
• Travel includes both scheduled and unscheduled visits, with increased overnight stays for wide territories and occasional national travel.
• Participate in weekend/holiday on-call rotation (~every 6 weeks) requiring local phone availability and potential national travel for instrument support.
• Always maintain a professional appearance.
• Must participate in vendor credentialing programs and finish the vendor credentialing requirements to gain and maintain access to customer facilities.

Automation Service Engineer

• The AI Automation Engineer will develop AI-assisted automation, integrations, scripts, workflows, and reusable components that improve engineering productivity, testing, documentation, observability, incident response, and operational efficiency.
• This role will support the AI-First IT team by building automation capabilities that can be piloted, refined, and scaled across IT engineering, infrastructure, operations, and employee productivity use cases.
• Work closely with AI solutions engineers, architects, application teams, infrastructure and operations teams, data teams, security, risk governance, and business partners to deliver secure, reliable, and reusable automation assets.
• Document usage patterns, reusable prompts, workflows, and enablement materials that help teams adopt AI tools effectively and responsibly.
• Build AI-enabled workflows that support coding, test generation, documentation, requirements analysis, code review, knowledge retrieval, and developer productivity.
• Partner with engineering and operations teams to identify repetitive work that can be simplified through AI-enabled automation.
• Create operational runbooks, support documentation, and repeatable workflows for AI-enabled operations use cases.

AI Automation Engineer

• Research adversarial techniques and translate threat behaviors into high-fidelity detections aligned to complex cybersecurity use cases.
• Design, build, and operate production-grade security detection infrastructure across Google SecOps and internal automation applications that support enrichment, orchestration, and response workflows.
• Lead telemetry and detection lifecycles, including source onboarding, parsing, normalization, enrichment, testing, deployment, tuning, and ongoing maintenance.
• Develop custom integrations, automations, and lightweight services using application programming interfaces (APIs), webhooks, and event-driven patterns to improve signal fidelity and reduce mean time to detect and mean time to respond.
• Create dashboards, metrics, and reports using business intelligence tools, structured query language (SQL), statistical analysis, and applied artificial intelligence and machine learning techniques to improve threat visibility and operational reporting.
• Apply Python, prompt-driven workflows, model context protocol (MCP) capabilities, and agent-to-agent orchestration patterns to support detection engineering, enrichment, and analytic decision support.
• Collaborate with threat intelligence, threat hunters, incident responders, red team, and engineering partners to evaluate detection coverage gaps and improve defensive capabilities.
• Manage work through Agile practices, documenting requirements, tracking delivery, and maintaining reliable platform operations across hybrid environments.

Threat Detection and Automation Engineer

• Partner with Senior AI Automation Engineer to find and fix manual processes
• Ship AI-powered automations
• Contribute to OUTGPT, the internal AI platform
• Work on integration tasks with REST APIs, webhooks, OAuth, SQL
• Mentor intern and grow as part of the team

• Lead complex technology initiatives including those that are companywide with broad impact
• Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines
• Design, code, test, debug, and document for projects and programs
• Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
• Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
• Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
• Lead projects, teams, or serve as a peer mentor

QA Automation Engineer jobs in New Jersey

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Platform Engineer – AI Automation

Lead AI Engineer – Cloud Infrastructure, Automation

AI Security Automation Engineer

Lead AI Security Automation Engineer

Senior AI Security Automation Engineer

Senior Engineer – GenAI Platform Automation

Senior Engineer – GenAI Platform Automation

Infrastructure Automation Engineer

Gateway Automation Engineer

Senior Technical Business Developer – Grid Automation

Principal Engineer, Supply Chain Quality Excellence – Automation & Digital

Automation Service Engineer

AI Automation Engineer

Threat Detection and Automation Engineer

AI Automation Engineer

Lead Quality Automation Engineer