Top Software Engineer Jobs

Designs and develops Dynamics 365 CRM solutions for advertising workflows, integrates CRM with advertising and marketing systems, and builds AI-enhanced automation features. Collaborates with product, data engineering, and sales teams while ensuring data integrity, privacy, security, and compliance. The role requires software development expertise, cloud technology knowledge, and experience with large-scale systems and API design.

Lead the design and development of high-performance AI networking software for NVIDIA BlueField DPU and ConnectX products. Manage hyperscaler technical engagements involving coding, system bring-up, performance tuning, failure analysis, and production hardening. Collaborate across engineering, product, architecture, and customer teams to translate needs into product features and roadmap improvements. Drive reliability, performance, debuggability, and tooling enhancements across firmware, drivers, operating systems, and applications.

Build and maintain full-stack internal network automation and AI-Ops products, including operational dashboards, topology visualizations, real-time data views, conversational AI interfaces, APIs, and data integrations. Integrate AI services, network and inventory platforms, and vendor tools. Use TypeScript, Python, CI/CD, testing, and cloud technologies while translating operational requirements into technical solutions and supporting globally distributed Agile teams.

Lead design, development, deployment, and support of secure, scalable cloud-native Java/Spring Boot microservices on AWS. Build REST APIs, event-driven integrations with Kafka, promote CI/CD, observability, secure coding, and enterprise AI-assisted engineering practices; troubleshoot and mentor engineers.

Develop, integrate, test, and maintain software for automated space payloads, facilities, and mission operations. Build backend services, APIs, databases, automation tools, and user interfaces in Python; interface with hardware, robotics, scientific instruments, and control systems. Collaborate across engineering disciplines, support mission integration and troubleshooting, document designs, and participate in reviews. More experienced engineers may lead technical efforts, mentor teammates, and shape software standards.

Leads development of secure, scalable, cloud-native software platforms and distributed services. Designs systems, writes and reviews production code, supports cloud migrations, and improves reliability through testing, operations, observability, and infrastructure as code. Drives adoption and governance of AI-assisted engineering practices, validates AI outputs for security and correctness, mentors engineers, and influences architecture and delivery practices across teams.

Develop and support applications, APIs, databases, integrations, user interfaces, and data workflows across commercial insurance business domains. Collaborate with senior engineers, use AI coding agents for implementation and testing, validate generated code, participate in code reviews and CI/CD, and troubleshoot production systems. The role provides cross-stack experience with .NET, React, SQL, Azure, Python, and Azure Data Factory while following security, governance, and software engineering standards.

Develop and support enterprise full-stack applications for a trust accounting and FinTech platform. Build .NET and C# backend services, SQL Server solutions, REST APIs, and modern web interfaces. Modernize legacy systems, troubleshoot production issues, and collaborate in an Agile environment. Design secure AI and LLM capabilities using prompt engineering, RAG, tool calling, and enterprise AI integrations while protecting financial data. Translate complex business requirements into scalable technical solutions and mentor less experienced developers.

Design and implement scalable distributed systems for Azure AI traffic management, scheduling, routing, capacity allocation, and workload optimization. Build control-plane services, observability tooling, and automation for reliable, low-latency LLM inference across global infrastructure. Investigate production issues, improve resiliency and fleet efficiency, onboard models and regions, mentor engineers, lead cross-team initiatives, and influence long-term AI infrastructure strategy.

Exploratory Software Engineering Interns prototype experimental software, test modern frameworks, and investigate AI/ML, computer vision, augmented reality, and IoT applications. They collaborate with engineers, designers, and product managers during innovation sprints, apply rapid prototyping and design thinking, present prototypes to stakeholders, and gain experience contributing to enterprise-scale technology innovation.

Build and deploy production software across frontend, backend, infrastructure, and cloud environments. Develop microservices, APIs, data pipelines, migrations, prototypes, integrations, and internal tooling using Azure, infrastructure as code, and CI/CD. Work within FedRAMP and CMMC constraints, leverage AI-assisted development tools, review and document code, mentor teammates, evaluate technologies, and reduce technical debt. The role requires hands-on ownership across the full software lifecycle in regulated environments.

Leads enterprise software architecture and hands-on engineering for complex strategic initiatives. Designs scalable microservices and micro frontend systems, drives proofs of concept, develops cloud-agnostic applications, integrates AI/ML capabilities, and champions DevSecOps, CI/CD, testing, and security. The role leads and mentors engineering teams, collaborates with architecture, product, data science, business, and IT stakeholders, and delivers innovative solutions that improve healthcare and pharmacy benefits outcomes.

Technology interns complete an end-to-end project supporting a real business priority, using data, analytics, AI tools, and digital workflows. They collaborate across departments, develop practical solutions, validate AI-generated outputs, and present results to senior stakeholders. The 10-week hybrid program includes mentorship, structured training, and exposure to technology, data engineering, machine learning, IT, and analytics teams.

Leads architecture, development, testing, deployment, and operational reliability for Azure-based distributed services supporting advertising creative quality and monetization. Defines requirements, builds APIs and event-driven pipelines, applies AI-assisted engineering practices, improves security and compliance, mentors engineers, automates CI/CD, and participates in incident response and on-call support.

Build and maintain front-end experiences for Cisco’s AI platform using Angular and Node.js. Partner with designers throughout development, implement shared design systems, and deliver accessible WCAG-compliant conversational, agentic, streaming, and dashboard interfaces. Integrate REST APIs, deploy applications on Google Cloud Platform, address usability and accessibility issues, and support human-AI interaction patterns including loading, error recovery, and token-by-token responses.

Build backend and developer productivity systems that help engineers and AI agents ship software safely at high volume. Responsibilities include rebuilding CI/CD, creating ephemeral development environments, automating testing and deployments, developing AI code review and security pipelines, conducting continuous penetration testing, securing agent access, and measuring improvements to the development lifecycle. The role also contributes to product features across video creation, rendering, and developer platforms.

An 11-week in-person technology internship offering placements in software engineering, cloud and DevOps, data engineering, AI and machine learning, enterprise applications, platform engineering, or automation. Interns will contribute to real-world projects such as application development, data pipelines, process automation, cloud infrastructure, and AI solutions while participating in professional development and leadership sessions.

Design and operate production infrastructure for AI agent systems, including high-performance Rust services for model inference, orchestration, and execution. Build scalable distributed systems, MLOps capabilities, observability, guardrails, and failure recovery for millions of users. Optimize latency, throughput, reliability, and cost while partnering with agent systems and infrastructure teams to harden experimental prototypes for production.

Develop and modify Android system services, privileged APIs, and OS-level AI integrations. Build interfaces for AI agents to interact with Android functionality while managing permissions, IPC, application lifecycles, background execution, performance, and resource consumption. Collaborate with agent engineers and debug Android Framework or AOSP components. Preferred experience includes custom ROMs, AOSP contributions, C++, System UI, background services, and power management.

Lead Android platform architecture and AOSP-based ROM development for an AI-native phone. Define OS-level AI integration, system services, privileged APIs, permissions, security architecture, and platform extensions. Partner with hardware vendors and ODMs on device integration, evaluate technical trade-offs, and establish Android platform engineering standards. The role requires deep Android internals expertise, ROM development experience, and strong technical leadership.

Develop and modify Android Framework components, system services, privileged APIs, and secure AI-agent integrations. The role focuses on application lifecycle, permissions, background execution, first-party app integration, OS stability, performance, and collaboration with agent engineers. Candidates need strong Android development experience, Java or Kotlin proficiency, AOSP knowledge, and familiarity with Binder IPC, permissions, and complex Android debugging. Custom ROM, C++, Linux, Android security, power management, and system-level shipping experience are preferred.

Leads development of full-stack, cloud-native software using Java, Python, AWS, microservices, APIs, and PostgreSQL. Designs scalable and secure systems, builds LLM and generative AI capabilities, and integrates AI agents into engineering workflows. Improves operational stability through automation and observability while contributing to Agile delivery, system architecture, and technical standards. Collaborates across initiatives and promotes responsible, secure validation of AI-assisted development outputs.

Improves the reliability, scalability, and observability of AI development and deployment platforms. Develops automation, CI/CD and GitOps workflows, dashboards, alerts, tests, and release validation processes. Investigates incidents, reduces operational toil, supports Kubernetes-based infrastructure, and collaborates across engineering teams on platform health. The role also includes autonomous-system integration, verification, validation, testing, and hardware/software interface troubleshooting.

Build and maintain end-to-end applications using React, Golang, and Node.js. Leverage AI development tools to improve speed and quality, collaborate with product and design, contribute to deployment and DevOps, and own features from concept through release. The role requires proactive problem-solving, rapid learning, scalable system design, and a strong builder’s mindset in a fast-paced energy and logistics technology environment.

Develops secure, scalable software solutions for JPMorganChase’s CX Loyalty Travel team. Responsibilities include application design, coding, testing, troubleshooting, architecture documentation, data analysis, system stability, and participation in agile engineering practices. The role uses .NET, C#, RESTful APIs, SQL, React or Angular, cloud technologies, and enterprise-authorized AI coding tools to deliver high-quality production systems.