Top Software Engineer Jobs

Lead the optimization and performance analysis of distributed training and inference workloads on NVIDIA GPU platforms, with responsibilities including debugging, benchmarking, and ensuring reliability of large-scale AI systems.

The role involves designing and developing high-performance web apps, improving user interfaces, maintaining component libraries, and ensuring code quality through comprehensive testing and collaboration with other teams.

Staff Engineer responsible for architecting and implementing secure, scalable full-stack cloud services processing petabytes of data. The role provides technical direction across frontend, backend, and data layers; resolves complex cross-organizational challenges; establishes engineering standards for performance, reliability, and security; aligns technical execution with product strategy; and mentors senior and lead engineers. The position requires extensive experience with cloud-native distributed systems, architecture, technical leadership, cross-team influence, and large-scale reliability.

Build scalable, responsive frontend experiences for Snowflake Cortex AI. Develop production-quality TypeScript and React interfaces, integrate APIs supporting AI inference and data retrieval, participate in architecture and code reviews, collaborate with product and design teams, and optimize frontend performance and reliability. The role also involves using AI coding assistants as part of daily development and may include building LLM-powered applications or conversational interfaces.

Leads software development and coaches engineers while driving adoption of AI-assisted coding, agentic workflows, prompt and context engineering, and AI governance. Reviews architecture, requirements, code, testing, security, resiliency, and production changes. Establishes controls for AI-generated output in a regulated banking environment, maintains shared AI development assets, improves engineering productivity, and communicates technical progress and risks to stakeholders.

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.

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.

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.

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.

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.

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.

Leads a team of 6–8 engineers responsible for financial ledgers, reporting, analytics, and correctness across a revenue cycle platform. Owns roadmap, hiring, career development, customer escalations, financial data migrations, OLAP modernization, parity checks, reconciliation, monitoring, and cross-team delivery. Partners with CFOs, comptrollers, product, payments, data infrastructure, and operations to ensure accurate reporting and reliable financial systems.

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

Owns the architecture and technical direction of an AI-enabled enterprise platform built with secure, cloud-native microservices. Leads technical execution, architecture, coding, code reviews, mentoring, release management, production support, and integration design. Partners with product and engineering stakeholders to translate requirements into milestones and deliverables. Designs AI application patterns, APIs, data flows, identity integrations, CI/CD practices, and secure deployments to Azure Kubernetes Service in Azure Government.

Leads enterprise Microsoft Power Platform strategy, architecture, governance, Center of Excellence maturity, and delivery. Designs secure integrations, standards, environment strategies, and reusable frameworks across Power Apps, Power Automate, Power BI, Dataverse, Microsoft 365, Azure, and AI capabilities. Oversees initiatives from intake through adoption, mentors technical teams and citizen developers, advises senior leaders, manages risks and dependencies, and drives measurable business outcomes.

Build and maintain Contentful Marketplace features, applications, services, APIs, and developer tooling. Contribute across Applied AI, extensibility, integrations, and platform capabilities while improving contribution workflows, trust and safety, reliability, observability, and operational quality. Collaborate with product, design, and engineering teams, own software in production, and use AI-assisted development workflows to improve engineering productivity and delivery.

Software Engineering Interns support product integration and commercial operations by analyzing workflows, documenting complex processes, and developing scalable software, automation, and AI-enabled solutions. They collaborate with engineering, installation, field service, project management, and product development teams to improve efficiency, data visibility, and customer outcomes. The role is onsite and includes cross-functional communication, process improvement, data analysis, and problem-solving.