Top Software Engineer Jobs

Lead end-to-end development of a greenfield enterprise platform for software dependency risk management. Build Java services, APIs, data ingestion pipelines, dependency analysis capabilities, and developer-facing features on AWS. Guide engineers and teams in secure AI-assisted development, code quality, testing, governance, and operational stability. Provide technical direction, influence architecture and product decisions, support production systems, and collaborate with product managers and designers to deliver scalable platform capabilities.

Designs, deploys, maintains, and troubleshoots HPE NonStop payment infrastructure, secure key managers, Etinet servers, and related subsystems. Uses AIOps and AI-assisted practices for incident triage, anomaly detection, automation, documentation, and reliability improvements. Partners with SRE, observability, and cybersecurity teams to govern AI-enabled monitoring, maintain auditability, execute upgrades, and produce operational knowledge such as runbooks and troubleshooting guides.

Leads the engineering organization for a firm-wide software dependency risk platform. Responsibilities include hiring and managing engineers and engineering managers, owning platform architecture and roadmap on AWS and Java, building data ingestion and dependency graph capabilities, establishing AI-first development practices, and driving responsible AI governance, security, resiliency, and adoption across a complex enterprise.

Lead an agile engineering team to design, build, and operate secure, scalable Java/React cloud-native applications on AWS. Drive adoption of AI-assisted development practices, evaluate vendor solutions, provide technical guidance, and ensure production quality, stability, and secure responsible AI usage across the SDLC.

Software development intern working with mentors and peers to design, implement, test, document, and review software features. The role involves learning development tools and programming practices, completing simple coding tasks, participating in design discussions and code reviews, incorporating feedback, and building domain knowledge. Candidates need basic Java programming skills, strong analytical and communication abilities, attention to detail, teamwork, documentation, organization, and problem-solving skills. Current Computer Science or related degree students are eligible.

Develop and operate high-throughput, low-latency telemetry pipelines and cloud services for Azure AI/HPC infrastructure. Build observability, monitoring, analytics, and automation capabilities; own architecture through deployment and operations; and lead incident response, root-cause analysis, reliability improvements, and operational readiness. Partner across engineering and platform teams, influence technical roadmaps, mentor engineers, and apply distributed systems, AI infrastructure, and cloud operations practices at hyperscale.

Own the architecture and technical strategy for Square’s go-to-market technology stack. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex technical initiatives, establish AI reliability and security guardrails, define evaluation metrics, and guide build-versus-buy decisions. Partner with Sales, Product, Data, and Engineering leaders while mentoring engineers and remaining hands-on across design, implementation, testing, deployment, and operations.

Build and ship full-stack AI features using Ruby on Rails and React, including AI agents, RAG systems, evaluations, observability, and LLM inference infrastructure. Design experiments and A/B tests, optimize production performance and reliability, and collaborate with leaders and designers to iterate rapidly on customer-facing solutions.

Build and maintain backend infrastructure and member-facing generative AI features that deliver personalized health and performance insights. Collaborate with Product, Design, Analytics, and Data Science teams to define requirements and deliver scalable solutions. Develop reliable software using Java, Kafka, AWS, and PostgreSQL; design RESTful APIs and relational databases; optimize performance; and maintain observability and monitoring systems.

Build and scale WHOOP AI platform systems and member-facing experiences across the frontend and backend. Design scalable web applications, APIs, and intuitive interfaces; contribute to agent orchestration architecture; translate business requirements into reliable solutions; write tested code; and monitor, debug, and improve production performance and stability. Collaborate with product managers, designers, data scientists, and other cross-functional partners in a fast-paced environment.

Build and maintain performant, responsive, mobile-first web applications using Next.js, React, and Tailwind CSS. Translate product goals into polished member-facing experiences, prototype and ship features with AI-assisted workflows, integrate RESTful APIs, and collaborate with product, design, and backend teams. Establish frontend best practices for architecture, accessibility, performance, and maintainability while contributing to UX decisions and navigating ambiguous problems.

Participates in ConocoPhillips’ Digital Rotation Program through two one-year IT assignments. Responsibilities may include developing automation, translating business needs into analytics solutions, implementing network security, supporting enterprise IT processes, and applying AI, cloud, data warehousing, telecommunications, databases, and scientific computing technologies. Assignments are primarily in Bartlesville or Houston, with limited opportunities in Anchorage.

Rotational technology development program providing hands-on experience across cybersecurity, data analytics, technical product and project management, artificial intelligence, application development, and IT infrastructure. Participants receive structured training, mentorship, and leadership development while contributing to healthcare-focused digital transformation initiatives.

Staff Software Engineer responsible for technical strategy, architecture, complex feature design, implementation, scalability, and greenfield development. The role mentors engineers, leads design and code reviews, drives technical alignment, addresses technical debt, participates in hiring, and remains a hands-on contributor to full-stack enterprise software development using technologies such as PHP, Laravel, Vue.js, and MySQL.

Summer intern supporting DIRECTV’s Customer Operations and Engineering teams in the Product Customer Experience Lab. Responsibilities include implementing software updates and feature enhancements, researching issues from feedback channels, identifying system gaps, and developing solutions. The role requires technical problem-solving, coding across multiple programming languages, presenting ideas, and working onsite three days weekly in El Segundo. Exposure to AI and computer vision technologies is preferred.

Four-month technology-focused capital markets internship. The analyst will partner with Capital Markets groups to identify complex financial-market challenges, analyze requirements, design and code solutions, and deliver end-to-end innovations that improve business-line efficiency. Candidates will apply programming and artificial intelligence knowledge while presenting outcomes to stakeholders and managing multiple priorities in a fast-paced environment.

Lead enterprise automation architecture and delivery across RPA, workflow automation, process mining, intelligent automation, testing, bots, citizen development, and AI orchestration. Establish and operate an Automation Center of Excellence, identify high-value use cases, guide implementation, manage governance and regulatory alignment, support training and adoption, and track financial value. Work hands-on with business stakeholders, technology teams, vendors, and external consultants in a regulated life sciences environment.

Leads software engineering projects and developers building scalable, cloud-based backend and full-stack systems. Designs distributed microservices and omnichannel messaging platforms, collaborates with product managers, supports regulatory requirements, mentors engineers, evaluates code, and applies modern programming languages, databases, container orchestration, cloud services, Agile practices, and interactive AI tools.

The Distinguished Engineer will drive innovation in banking technology, lead software engineering projects, mentor teams, and utilize AI and advanced architectures for risk management.

Leads software engineering and development teams, defining architecture standards, overseeing design through deployment, and driving AI/ML, cloud, and digital transformation initiatives. Conducts architecture and code reviews, mentors engineers, supports hiring, develops technology roadmaps, and collaborates with customers and stakeholders to deliver mission-focused software capabilities. Requires extensive software engineering experience, cloud and distributed-systems expertise, Python proficiency, DevSecOps knowledge, and the ability to obtain a Secret clearance.

Lead enterprise payments architecture for card-present solutions, provide technical governance and guidance, integrate AI-enabled capabilities securely, develop and review production code, evaluate emerging technologies, and drive architecture decisions across product families.

Design, develop, test, and maintain secure, high-quality production software. Create architecture and design artifacts, analyze large datasets to improve systems, troubleshoot complex problems, and contribute to engineering communities and inclusive team culture.

Lead architecture strategy and roadmaps for cloud-based, AI-enabled payment systems. Advise on technology selection, build reusable secure engineering patterns, develop and review production code, govern APIs and integration patterns, and drive digital transformation for onboarding and self-service experiences.

Provides expert technical support for Zebra Android mobile computing products, debugging AOSP Framework, BSP, Telephony, RIL, and cellular modem issues. Analyzes logs and network traffic, resolves interoperability and performance problems with carriers and chipset vendors, and collaborates with customers and internal teams. Develops AI-driven diagnostic and workflow automation tools, documents solutions, mentors support engineers, and contributes to product improvements.

Leads multiple enterprise application development projects across diverse platforms throughout the systems development lifecycle. Oversees application delivery, production stability, quality, resource allocation, budgets, and stakeholder communications. Partners with business teams to design and implement technology solutions, promotes innovation and change management, and applies modern SDLC, DevOps, data engineering, analytics, AI/ML, and AI-enabled development practices.