Top Software Engineer Jobs

Participate in full-stack development and maintenance of Binance’s KYC system, including backend services, frontend features, documentation, testing, regression, troubleshooting, and customer issue resolution. The role is a 3–6 month accelerator internship for current university students and recent graduates, with an emphasis on Java, Spring Boot, databases, middleware, and frontend technologies.

Own the architecture and implementation of Applied AI backend systems, including APIs, data models, distributed pipelines, orchestration, infrastructure, and production reliability. Lead technical direction, build high-throughput services, manage containerized infrastructure with Terraform, participate in on-call, resolve incidents, mentor senior engineers, and collaborate across product, operations, and research teams. The role requires strong backend, database, distributed systems, and production operations expertise, plus enthusiasm for agentic AI development.

Build and operate backend services for Mercor’s Applied AI platform, including APIs, data models, background jobs, and high-throughput pipelines. Own features from design through production, with responsibility for reliability, observability, performance, infrastructure, containerized environments, and incident response. Collaborate with product, operations, and research teams to turn ambiguous requirements into production systems.

Design and architect Android systems and modular components to support multiple apps. Ship end-to-end user features using an AI-assisted workflow, improve developer tooling and CI, set quality and safety standards for AI-generated code, solve performance and production issues, and document playbooks for the team.

Participate in a paid remote interview about AI-assisted software engineering. Discuss your development workflow, use of coding assistants such as Copilot, Cursor, or Claude Code, model comparisons, debugging practices, prompt strategies, and challenges with generated code.

Build and operate scalable internal platforms, APIs, backend services, and frontend applications. Use AI tools for coding, testing, debugging, documentation, and productivity improvements. Partner with Product, Infrastructure, Data, Security, and SRE teams to deliver reliable cloud-native systems. Own features end-to-end, participate in on-call rotations, support production systems, and improve reliability, performance, security, and observability.

Develop and sustain cloud-based software on large-scale compute clusters and AWS infrastructure. Responsibilities include requirements analysis, architecture, Java development for distributed systems, testing, integration, performance tuning, CI/CD, monitoring, and operations. The role requires LLM and RAG expertise, infrastructure-as-code, microservices, Kubernetes, Linux, and scripting knowledge. The engineer will independently solve complex problems, balance cost and resilience, and guide junior team members.

Build and own a real-time conversational voice AI platform for automotive customers. Responsibilities include developing production systems across speech, LLM, telephony, and event-driven AWS services; optimizing latency and reliability; implementing observability, failover, infrastructure as code, CI/CD, and integrations; and leading technical decisions, engineering standards, knowledge sharing, and mentoring.

Build and own Android growth and monetization experiments across subscriptions, advertising, purchases, and upgrade flows. Partner with product, design, data science, and analytics to instrument experiments, evaluate results, and ship reliable experiences at consumer scale. Use AI-native workflows for specification, coding, testing, and review; improve mobile engineering practices; contribute to architecture and code reviews; participate in on-call; and mentor engineers.

Develop and operate AI-enabled, cloud-based full-stack applications for small businesses. Responsibilities include translating business needs into architecture and requirements, building React and Node.js applications, integrating APIs, managing AWS infrastructure, supporting multi-tenant domains, diagnosing production issues, improving CI/CD workflows, and using AI tools for development, testing, documentation, and optimization.

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.

Design, implement, and operate large-scale Ads infrastructure on Azure. Build and optimize data ingestion, storage, and streaming pipelines; ship new ad-product features; apply ML/AI to improve ad quality; analyze data for technical design; and handle live-site escalations with customers.

Lead hands-on architecture and development for greenfield digital products and the engineering platform supporting them. Build full-stack solutions, distributed backends, cloud infrastructure, CI/CD pipelines, reusable services, Kubernetes and infrastructure-as-code capabilities. Establish observability, quality, and engineering standards while mentoring engineers and partnering with product and design teams to improve delivery velocity and autonomy.

Lead hands-on architecture and development for greenfield digital products and engineering platforms. Build full-stack solutions across frontend, backend, cloud infrastructure, CI/CD, Kubernetes, infrastructure as code, and observability. Create reusable services, tooling, and engineering standards that improve delivery speed and reliability. Partner with product and design teams, mentor engineers, and establish a pragmatic engineering culture through direct technical contribution.

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.

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 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.

Designs, develops, modernizes, tests, deploys, and supports AI-enabled applications and services. Establishes engineering standards for AI-assisted development, implements CI/CD and observability practices, and ensures security, privacy, compliance, and Responsible AI requirements. Collaborates across architecture, security, product, and operations teams; mentors engineers; evaluates emerging AI technologies; and supports agentic AI and RAG architectures.

The Senior Software Engineer will build AI solutions for clinical workflows, collaborating with teams to enhance software architecture and mentor other engineers.

Develop and maintain web applications, APIs, integrations, automation scripts, and AI-enabled features using JavaScript, Python, and PHP. Connect internal business systems with third-party platforms, support enterprise platform customizations, troubleshoot workflows, and collaborate with technical teams, business users, vendors, and development partners. Participate in testing, documentation, version control, and change management while gaining experience with applied AI integration.