🚀 Top Software Engineer Jobs: ADAS, DevOps, CI/CD, Full-Stack AI, & Cloud Innovation Roles
The landscape of software engineering is accelerating, driven by the massive convergence of Artificial Intelligence (AI), Advanced Driver-Assistance Systems (ADAS), large-scale cloud infrastructure, and hyper-efficient Continuous Integration/Continuous Deployment (CI/CD) pipelines. We delve into a selection of highly competitive and cutting-edge Software Engineer roles recently shared by top Hiring Managers and Recruiters at global industry giants like Ford, Roblox, Microsoft, and Nike.
These roles are not just about maintaining existing systems; they represent opportunities to engineer the future—from autonomous driving features and petabyte-scale cloud platforms to AI-powered collaboration tools and next-generation athletic product innovation. Whether your expertise lies in embedded systems, site reliability, developer tooling, or full-stack cloud development, these positions offer high-impact careers and demand a diverse, yet specialized, set of modern technical skills.
1. 🚗 ADAS BlueCruise Feature and Software Engineer at Ford Motor Company
The automotive industry is undergoing a monumental shift, with software becoming the primary differentiator in vehicle performance and safety. Ford’s Advance Driver Assistance Technology (ADAS) team is at the forefront, developing features like BlueCruise, the company’s hands-free driving system. This role is a direct gateway into the future of mobility and requires a unique blend of control systems theory, embedded software engineering, and rigorous testing methodologies.
🎯 Key Responsibilities and Impact
An ADAS Software Engineer in the BlueCruise program focuses intensely on the Adaptive Cruise Control (ACC) system. ACC is a complex feature that uses sensors and control algorithms to automatically adjust the vehicle’s speed to maintain a safe distance from cars ahead. The engineer’s work is pivotal in ensuring this feature is safe, reliable, and provides a smooth, “thrilling user experience” for the customer.
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Requirements and Modeling: Support the refinement of use cases and functional requirements for ACC. This involves extensive MATLAB/Simulink modeling, where system behaviors are simulated and tested before being deployed to the vehicle.
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Validation and Verification (V&V): Lead and support the V&V of all system upgrades. This includes in-vehicle validation (track and real-world testing), as well as replay and bench testing of algorithms using collected data. This step is critical for functional safety.
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Algorithm and Software Delivery: Support feature model delivery to meet program timing, coordinate model configuration, and integrate software packages with production-grade hardware.
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Data Analysis and Root Cause: Develop data analysis techniques to assess performance, and support root-cause analysis with both internal teams and external suppliers for identified issues.
🛠️ Required and Preferred Technical Skills
The ideal candidate bridges the gap between theoretical control systems and practical, embedded software development.
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Must-Have Technical Foundation:
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Bachelor’s Degree in Electrical, Computer, or Software Engineering.
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Minimum of 1 year of MATLAB/Simulink modeling experience, which is the lingua franca for control system design in this domain.
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High-Value Experience/Expertise:
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Advanced degree (Master’s) in a relevant field (Controls, Aerospace, Electrical Engineering).
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Direct experience with specific ADAS features: Adaptive Cruise Control, Blind Spot Systems, or Lane Keeping/Centering.
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Computer Vision and RADAR Tracking: Experience with tracking objects (vehicles, humans, obstacles) and detecting artifacts (signs, lights, lanes). This requires knowledge of sensor fusion and object recognition algorithms.
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Control Methods: Deep understanding of Kalman filtering, vehicle dynamics, and both linear and nonlinear control methods is highly desired for advanced algorithm development.
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Embedded Systems: Knowledge of embedded hardware and software design, including software flashing and integration into vehicles.
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Model-Based Design: Experience leveraging Simulink for the creation and enhancement of new features, demonstrating a mastery of the end-to-end development cycle.
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This role requires a meticulous approach to software quality, where a small error in an algorithm can have significant real-world safety implications. The engineer is a crucial link in the chain that delivers a core part of the autonomous driving experience.
2. ☁️ DevOps / Site Reliability Platform Engineer at Ford Motor Company
As Ford transforms into a modern technology company, its IT infrastructure must handle the immense data and compute demands of next-generation applications, including mobile and autonomous vehicle hosting. This DevOps/Site Reliability Platform Engineer role is tasked with building and operating the foundational, on-premises cloud platform using advanced container and virtualization technologies.
🎯 Key Responsibilities and Impact
The mission is to build a robust, scalable, and developer-friendly platform that reduces “toil” and complexity for application teams. This is a classic SRE role focused on the core infrastructure.
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Platform Design and Operation: Design and operate core infrastructure, primarily RedHat OpenShift (Ford’s Kubernetes distribution) and RedHat OpenShift Virtualization (Kubevirt). Kubevirt allows virtual machines (VMs) to run inside Kubernetes, enabling a single, unified platform for both containerized and traditional VM-based applications.
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Automation and CaC: Develop extensive automation for provisioning, Day 2 operations, decommissioning, and migration. This is the heart of DevOps/SRE, using tools to eliminate manual steps.
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CI/CD & Developer Experience: Collaborate on code standards, technical designs, and code reviews. The goal is to drive feature capability that improves the developer experience on the Kubevirt/Kubernetes platform.
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Monitoring and Reliability: Maintain and upgrade platform components, including OpenShift Virtualization-Specific Operators, and ensure system health using monitoring and alerting solutions.
🛠️ Required and Preferred Technical Skills
This is an infrastructure-heavy role demanding deep expertise in the cloud-native ecosystem, even if the deployment is “on-premises” (in Ford’s data centers).
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Must-Have Technical Foundation:
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Linux Mastery: Strong knowledge of multiple Linux distributions (RHEL, Ubuntu, SUSE) is essential, as this is the base OS for Kubernetes nodes. (3+ years)
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Container and Virtualization Stack: Proven experience with Kubernetes and specifically Kubevirt. Experience with general virtualization/container technologies. (1+ years each)
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CI/CD Tooling: Experience with Git and modern CI/CD pipelines utilizing tools like Tekton, Argo, GitHub Actions, and/or Jenkins. (2+ years)
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Observability and Configuration: Proficiency with Prometheus/Grafana for monitoring and alerting, and demonstrable proficiency in Infrastructure-as-Code tools like Kustomize/Helm for package management and configuration. (1+ years each)
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Scripting/Programming: Proficiency in at least one modern scripting or programming language: Go, Python, and/or Bourne Shell.
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Nice-to-Have Skills (Adding Significant Value):
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Cloud Experience: In-depth use of Cloud-based PaaS and IaaS, particularly GCP and Azure, as multi-cloud knowledge is increasingly valuable.
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Automation Tools: Experience with IT Automation products such as Terraform, Ansible, or Chef.
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Networking: Experience with network load balancers (SLB, GSLB) for high availability and traffic management.
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The ideal candidate is a self-starter with exceptional technical writing skills (run books, DR plans) and a drive to move IT culture towards a more agile, iterative, and “nimble” methodology.
3. ⚙️ Senior Software Engineer, Developer Productivity (CI/CD Foundation) at Roblox
Roblox is a massive, global platform, and its engineering velocity is critical to connecting “a billion people with optimism and civility.” The CI/CD Foundation team is the backbone of this velocity. This Senior Software Engineer role is a high-leverage position focused on transforming the infrastructure that builds, tests, and releases the core platform components (Game Engine, Studio, Apps).
🎯 Key Responsibilities and Impact
This role moves beyond simple pipeline maintenance to strategic, large-scale infrastructure engineering, aiming to unblock hundreds of developers and enable faster, more reliable feature releases.
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Infrastructure Transformation (The Lead Project): Lead the migration of the legacy CI/CD infrastructure into a fully managed, low-maintenance ecosystem. The core philosophy here is Configuration as Code (CaC) and advanced Observability (O11y) to replace manual configuration and troubleshooting with automated, self-service systems.
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AI Innovation: A key mandate is to leverage cutting-edge technology, including AI models, MCP tools, and internal AI agents, to automate repetitive maintenance tasks into intelligent, self-healing services.
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System Reliability and Scale: Drive significant improvements in build reliability and efficiency to ensure the infrastructure can handle massive scale with minimal downtime, directly impacting hundreds of developers daily.
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Operational Excellence: Diagnose and resolve complex issues across the build, test, and release systems, ensuring stability and providing rapid feedback to developers (Preferred: distributed build/test systems).
🛠️ Required and Preferred Technical Skills
This position requires a seasoned Software Engineer who understands how to apply software principles to infrastructure problems, with a strong focus on high-scale developer experience.
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Must-Have Technical Foundation:
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Language Proficiency: Experience building tools in at least one modern language, with a preference for Python, Go, C++, or Java.
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CI/CD Systems: Deep experience designing and maintaining large-scale modern CI/CD systems (TeamCity, Jenkins, GitHub Actions, GitLab).
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Cloud/Container Orchestration: Working knowledge of cloud-based build infrastructure automation and container orchestration, including AWS, Docker, and Kubernetes (K8S) or Nomad.
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Monitoring: Experience implementing monitoring and alerting solutions to proactively manage build health (e.g., Prometheus, Grafana, Datadog).
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High-Value/Scale Experience:
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Exposure to large scale cloud/on-prem build and release systems.
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Experience building distributed build and test systems that optimize for rapid, reliable feedback.
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A strong customer-centric mindset for serving internal engineering teams.
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This is a high-salary, high-impact role ($192,890—$238,520 USD) for an engineer passionate about maximizing the productivity of an entire development organization.
4. 🧠 Senior Software Engineer – Microsoft Teams (Full-Stack AI)
Microsoft Teams is transforming into an AI-powered hub for organizational collaboration. This Senior Software Engineer role within the Teams Core engineering team is a full-stack opportunity focused on building intelligent AI agents and collaboration capabilities that redefine how users communicate in chats and channels.
🎯 Key Responsibilities and Impact
The engineer will deliver end-to-end, scalable, intelligent solutions, combining deep front-end expertise with robust backend integration and AI model utilization.
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End-to-End Solution Delivery: Lead the identification of user requirements, design documents, and the development of solutions that streamline collaboration in Chat and Channels.
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Technical Leadership and Mentorship: Lead by example and mentor others to produce extensible and maintainable code used across multiple products/services, influencing technical strategy.
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AI-Powered Features: Focus on engineering and integrating intelligent AI agents and new collaboration features directly into the Teams user experience.
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System Reliability and Observability (SRE Principles): Hold accountability as a Designated Responsible Individual (DRI), working on-call to monitor and improve the availability, reliability, efficiency, observability, and performance of the product, showcasing strong SRE principles in a software development context.
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Modern Web Development: Ensure a high-quality user experience by optimizing front-end performance and applying responsive design principles.
🛠️ Required and Preferred Technical Skills
This role requires a true full-stack generalist with significant experience in high-scale web applications and a foundational understanding of AI/ML integration.
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Must-Have Technical Foundation (4+ Years):
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Core Coding: 4+ years of technical engineering experience with core languages, including but not limited to C, C++, C#, Java, JavaScript, or Python.
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Modern Web Stack (5+ Years): 5+ years of experience with modern web technologies such as React, TypeScript, HTML, and CSS, along with state management frameworks (Redux, MobX, or similar). Mastery of front-end performance optimization is critical.
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Integration: Experience with integrating front-end applications with backend services using REST, GraphQL, or other APIs.
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AI Experience: Specific experience with AI (e.g., integrating with LLMs, building AI agents, utilizing generative AI APIs).
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Preferred Qualifications (Showcasing Seniority):
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Higher level of experience (8+ years total for a Bachelor’s or 6+ years for a Master’s degree).
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Proven ability to lead complex projects across various stakeholders.
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Proactive adaptation to new technical trends, particularly those improving system performance and reliability.
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This is a pivotal role for shaping the future of enterprise communication, where the engineer’s work directly impacts millions of users globally via one of Microsoft’s flagship products.
5. 💡 Lead Software Engineer – Innovation at Nike
Nike’s innovation engine requires a technology backbone capable of handling massive data, complex computational algorithms, and cutting-edge Artificial Intelligence and Machine Learning (AI/ML) techniques. This Lead Software Engineer position is situated in a high-impact, forward-looking domain, likely related to the digital transformation of product creation, manufacturing, and supply chain.
🎯 Key Responsibilities and Impact
This role is a blend of hands-on engineering and technical leadership, driving the architectural direction and execution for innovation-focused systems.
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Hands-On Architecture & Build (70%): Architect and build robust, scalable systems leveraging a modern, high-performance tech stack: AWS, React, TypeScript, Databricks, and AI/ML. This involves being the primary, hands-on contributor for new cloud-native solutions.
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Technical Leadership & Mentorship (30%): Act as the technical alignment driver across the squad, mentor other engineers, and foster a culture of learning and innovation. The lead engineer must translate business needs into a clear technical strategy.
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Data and AI Focus: Deep involvement in data engineering (Databricks) and integrating core AI/ML concepts, including Vector Databases, Retrieval-Augmented Generation (RAG), and Generative AI (Gen AI) design patterns.
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High-Scale Cloud Development: Ensure systems are secure, performant, and maintainable, leveraging deep experience with highly distributed cloud systems and cloud-native patterns.
🛠️ Required and Preferred Technical Skills
The ideal candidate is a highly experienced full-stack and data-aware cloud engineer with a passion for emerging technologies like Gen AI and a background in complex, domain-specific engineering.
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Must-Have Technical Foundation (8+ Years):
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Overall Experience: 8+ years of software engineering experience.
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Cloud Engineering: 3+ years of native cloud engineering experience in a high-scale, business-critical domain, with Deep expertise in AWS (EC2, Lambda, DynamoDB, Elasticsearch, or equivalents).
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Data Engineering: 3+ years of data engineering experience, specifically with Databricks.
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Full-Stack Components: Deep expertise in front-end frameworks like React and the use of TypeScript for robust development.
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Systems Design: Proven expertise in systems design, high-level end-to-end thinking, and excellent computer science fundamentals (algorithms, data structures).
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Innovation Domain Expertise (Huge Plus):
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Advanced AI/ML Concepts: Solid foundations on AIML concepts, vector databases, RAG, and Gen AI design patterns. This is critical for driving the innovation agenda.
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Domain Experience: Background in specific physical-world engineering challenges like additive manufacturing, robotics, simulations, computational algorithms, or point cloud optimizations.
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This role requires a leader capable of setting technical direction, mentoring a team, and delivering complex, high-performance solutions that will fundamentally change how Nike products are designed and created.
Here are Apply job links:
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Ford – ADAS BlueCruise Feature & Software Engineer
Apply: https://jobs.ford.com/careers/job/563568449844995 -
Ford – DevOps Engineer
Apply: https://jobs.ford.com/careers?query=51439 -
Roblox – Senior Software Engineer, Developer Productivity
Apply: https://careers.roblox.com/jobs/7460022 -
Microsoft – Senior Software Engineer (Microsoft Teams)
Apply: https://apply.careers.microsoft.com/careers/job/1970393556637476 -
Nike – Lead Software Engineer
Apply: https://careers.nike.com/job/R-74168
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| Job Title/Company | Core Focus Area | Primary Technologies | Key Impact |
| ADAS BlueCruise Feature & SWE (Ford) | Embedded Systems, Control Algorithms, Vehicle Safety | MATLAB/Simulink, C/C++, Kalman Filters, RADAR/Vision, Functional Safety | Enhancing vehicle safety and delivering hands-free autonomous driving features. |
| DevOps / SRE Platform Engineer (Ford) | Cloud Infrastructure, Site Reliability, Automation | Kubernetes/Kubevirt, RedHat OpenShift, Go/Python, Tekton/Argo, Prometheus/Grafana | Building and operating the next-gen, scalable on-premises cloud platform for Ford’s global apps. |
| Sr. SWE, Developer Productivity (Roblox) | CI/CD, Engineering Velocity, Automation at Scale | TeamCity/GitHub Actions, AWS/K8S, CaC, Observability, AI Agents, Python/Go | Transforming the engineering backbone to unblock hundreds of developers and accelerate product delivery. |
| Sr. SWE, Microsoft Teams (Full-Stack AI) | Full-Stack Product Development, AI Integration | React/TypeScript, C#/Java/Python, REST/GraphQL, AI Agents, Front-End Performance, SRE Principles | Creating the next generation of intelligent, AI-powered collaboration features in a global product. |
| Lead SWE – Innovation (Nike) | Cloud Architecture, AI/ML, Data Engineering, Technical Leadership | AWS, React/TypeScript, Databricks, Gen AI/RAG, Vector Databases, Distributed Systems | Driving technical strategy and building the systems that power cutting-edge product creation and innovation. |
