Jobs at RTX

Designs and supports cloud-native platforms using Kubernetes, Terraform, Ansible, and automation. Builds secure CI/CD pipelines, Git workflows, and infrastructure supporting enterprise applications and AI workloads. Troubleshoots distributed systems, enables AI platform integrations including RAG and vector databases, and implements monitoring, security, identity, and secrets-management controls. Collaborates with development, cybersecurity, infrastructure, and architecture teams to deliver scalable, reliable DevSecOps platforms.

Leads cybersecurity and infrastructure projects from initiation through closure, managing plans, schedules, budgets, risks, dependencies, compliance, and stakeholder communications. Coordinates cross-functional teams across cybersecurity, infrastructure, networking, cloud, engineering, operations, and business functions. Oversees initiatives including vulnerability remediation, infrastructure modernization, identity and access management, network security, and security tool implementations while reporting performance metrics to leadership and improving project delivery processes.

Manages digital technology and transformation projects across the full lifecycle in a matrixed environment. Responsibilities include maintaining integrated master schedules, managing budgets and forecasts, tracking risks and opportunities, coordinating stakeholders and subcontractors, resolving execution challenges, analyzing variances, and presenting status to senior leadership. The role oversees infrastructure and software development initiatives while ensuring scope, schedule, financial, compliance, and strategic objectives are met.

Administers enterprise SAP environments, leading installations, upgrades, patching, migrations, transport management, performance tuning, capacity planning, client refreshes, and landscape configuration. Supports SAP ECC, HANA, BW, Solution Manager, and related platforms, integrating cloud solutions such as Ariba and Concur. Collaborates with cybersecurity, system administration, vendors, and global teams while managing audits, technical issue resolution, and on-call support. The role requires strong SAP Basis, Unix/Linux, Oracle/HANA administration, architecture, and regulated-enterprise experience.

Leads SAP Basis administration, including system installations, upgrades, patching, migrations, transport management, client administration, performance tuning, capacity planning, and landscape configuration. Supports SAP ECC, HANA, BW, Solution Manager, and related enterprise platforms, integrates cloud solutions, coordinates cybersecurity and compliance practices, and participates in on-call support. The role also leads technical teams, resolves complex issues, and manages controlled changes across development, quality, and production environments.

Engineer scalable intelligent automation solutions using software engineering, APIs, integrations, RPA, workflow orchestration, AI, DevOps, and CI/CD practices. The role bridges prototypes to enterprise production, mentors colleagues and stakeholders, collaborates with distributed development teams, governs technical documentation, and improves automation standards, reuse, reliability, and maintainability.

Supports SAP S/4HANA Order-to-Cash transformation across blueprinting, configuration, testing, data migration, integration, cutover, and hypercare. Collaborates with business and technology teams on quoting, contracts, sales orders, pricing, billing, collections, returns, and receivables. Documents processes and functional requirements, supports customer-facing application integrations, validates data conversions, tracks defects, and analyzes process metrics. The hybrid role requires 25–50% travel and focuses on standardizing enterprise ERP processes.

Leads Production Master Data activities for the SAP S/4HANA transformation, managing material masters, bills of materials, routings, work centers, and related data. Coordinates stakeholders, requirements, system configuration, testing, documentation, data governance, and continuous improvement. Provides advanced SAP, Oracle, PL/SQL, and master data expertise while coordinating PMD project delivery and business-system enhancements.

Defines enterprise AI and machine learning architectures spanning Generative AI, agentic AI, data, applications, cloud, infrastructure, and enterprise systems. Translates business requirements into architecture blueprints, technical strategies, and implementation roadmaps; develops reusable standards and design patterns; evaluates technology alternatives; and leads technical reviews. The role also establishes patterns for MLOps, model serving, monitoring, governance, security, and deployment across cloud, hybrid, on-premises, and restricted environments while mentoring engineering teams.

Design, build, evaluate, and deploy production AI and ML solutions, including generative AI, large language models, retrieval-augmented generation, and agentic workflows. Develop reliable software, APIs, integrations, evaluations, and observability capabilities while partnering with architecture, platform, data, cybersecurity, and business teams. Apply AI engineering practices across enterprise, cloud, hybrid, and regulated environments.

Designs, builds, and operates reusable enterprise AI platform services, backend APIs, model-serving capabilities, agent runtimes, retrieval services, and MLOps infrastructure. The role automates cloud-native deployments across hybrid and restricted environments using Kubernetes, CI/CD, and infrastructure-as-code. Responsibilities include implementing security, identity, observability, lifecycle management, scalability, resilience, and cost visibility for AI workloads while partnering with architecture, application engineering, cybersecurity, data, and product teams.

Support the SAP GTS S/4HANA transformation across blueprint, build, testing, cutover, and hypercare phases. The role designs and configures compliance and customs management solutions, leads process redesign and requirements gathering, guides enhancements, coordinates cross-functional teams, and manages stakeholder expectations. Candidates need substantial SAP GTS experience, including e4H, GTS 11.0, EDI integration, FTZ, IPR, and Intrastat capabilities.

Lead business systems and digital application planning, implementation, configuration, testing, maintenance, and support. Improve business processes and align technology selection, services, vendors, and initiatives with organizational strategy. Represent business needs in enterprise initiatives, advocate for high-quality digital services, and collaborate with security, compliance, infrastructure, and project management teams to manage the digital technology portfolio.

Provide SAP Controlling (CO) and Project Systems (PS) functional support in an SAP ECC environment, supporting configuration, production support, project delivery, month‑end/year‑end close, system improvements, and integration with ABAP, BW, and BusinessObjects while aiding the transition to S/4HANA in an Aerospace & Defense setting.

The ServiceNow Business Analyst gathers and translates ITSM requirements into user stories and acceptance criteria for Incident, Problem, and Change Management. The role collaborates with stakeholders, architects, and developers; creates test scripts and documentation; validates implementations; supports defect analysis; and contributes to ServiceNow platform enhancements, workflow optimization, automation, reporting, and continuous improvement.

Leads onsite digital technology operations, serving as the primary escalation point between enterprise IT, local leadership, vendors, and production environments. Oversees infrastructure reliability, security, compliance, audit readiness, hosting costs, service delivery, vendor SLAs, and technology deployments. Coordinates network upgrades, facility expansions, equipment installations, collaboration rollouts, maintenance, and telecommunications improvements while advocating for site priorities and ensuring reliable technology support.

Designs and maintains automation for enterprise data governance, including APIs, ETL pipelines, metadata management, data profiling, validation, quality workflows, and data integrations. Develops reliable scheduled and event-driven solutions with monitoring, logging, retry logic, testing, CI/CD, and exception handling. Collaborates with stakeholders on governance roadmaps, tool requirements, and scalable data management improvements.

Designs and develops enterprise integration architectures, APIs, ETL pipelines, automation scripts, and data governance workflows. Builds reusable patterns for metadata, data quality, authentication, monitoring, error handling, and recovery. Translates business requirements into scalable technical solutions, creates documentation and reference implementations, performs code reviews, and provides technical guidance while supporting CI/CD, testing, deployment, and operational processes.

Build and improve large-scale machine learning models for aviation prediction products, including runway landing times, gate arrivals, and taxi durations. Develop high-performance systems using historical aviation data and complex data types, contribute ideas in an agile environment, and improve operational efficiency for airlines and airports. Preferred experience includes Kubernetes, AWS, GPU acceleration, graph neural networks, geospatial data, observability, ETL orchestration, and large-scale data processing.

Owns enterprise data architecture for Raytheon’s SAP ECC-to-S/4HANA transformation. Designs canonical data models, integration patterns, bridge reporting, semantic layers, and cross-system analytics for finance, supply chain, and other domains. Guides SAP Analytics Cloud, Snowflake, Business Data Cloud, and BODS solutions; establishes governance, standards, lineage, and observability. Creates TOGAF-aligned architecture artifacts, reviews delivery solutions, and coaches technical teams throughout the migration lifecycle.