Top Hybrid Software Engineer Jobs

Teaches undergraduate and graduate Computer Information Systems courses in a hybrid format. Responsibilities include developing syllabi and lesson plans, preparing and updating course materials, using online technologies, delivering instruction, designing and grading assessments, providing student feedback, and integrating responsible AI practices. Requires a master’s degree in Information Systems or a related field, 18 graduate credit hours in the subject, strong communication skills, and ongoing professional development.

Lead the architecture, scalability, reliability, performance, and cost efficiency of Cisco’s data platform. Define multi-quarter technical direction for storage, streaming, compute, observability, and performance tooling. Establish standards for schemas, migrations, SLOs, tenancy, retention, and capacity planning; lead major distributed-systems initiatives and production investigations; make technology and cost decisions; and mentor engineers across teams.

Build and maintain backend services and product features across the full software development lifecycle. Responsibilities include designing, implementing, testing, deploying, validating, and improving production software; investigating issues; enhancing performance and reliability; identifying technical debt; and collaborating with product, AI, and edge systems teams. The role requires ownership of features, thoughtful decision-making in ambiguous situations, code reviews, documentation, and use of AI-assisted development tools.

Build and scale Knowtex’s native Android application for clinical documentation. Own mobile workflows including recording, authentication, patient selection, note review, APIs, audio, background processes, and device capabilities. Improve reliability, security, observability, performance, and release quality while collaborating across engineering, product, and customer teams. Support enterprise healthcare deployments, investigate escalations, and contribute to technical design and code reviews.

Designs and scales enterprise backend services, data platforms, pipelines, and distributed processing solutions. Leads architecture, graph-based data initiatives, Snowflake implementations, engineering standards, code reviews, CI/CD, testing, and AI-assisted development. Partners with technical and business stakeholders, ensures security and regulatory compliance, optimizes platform performance, and mentors engineers.

Research and implement GPU-acceleration techniques for high-performance databases and ETL. Analyze and optimize data-intensive workloads, collaborate with hardware, systems, and research teams to influence next-generation architectures and programming models, and publish/share findings with customers and the community.

Own and deliver a product surface end-to-end within PayZen's provider and partner platform. Build reliable, AI-native features in a compliance-regulated environment (HIPAA/PCI-DSS/SOC 2), identify gaps, write clear stakeholder-facing documentation, mentor junior engineers, participate in hiring, and automate shared tooling.

Build and lead architecture for ServiceTitan’s AI-native developer platform, including coding-agent runtimes, orchestration layers, harnesses, build systems, CI/CD, developer portals, safety guardrails, and compliance infrastructure. Deliver production-scale platform projects autonomously, influence engineering direction across teams, anticipate long-term technology needs, establish reusable engineering patterns, and mentor senior engineers.

Build and scale secure backend microservices for payments, disbursements, and governance, risk, and compliance workflows. Design distributed systems capable of handling millions of daily requests using Google Cloud and modern infrastructure tools. Collaborate with product, operations, and compliance teams, mentor junior engineers, and improve platform capabilities through analytics and user feedback. The role requires strong software engineering fundamentals, REST API experience, fintech or financial systems knowledge, and familiarity with event-driven and hexagonal architectures.

Lead the Product Growth engineering function, setting technical direction and managing full-stack engineers building user-facing experiences that improve discovery, activation, engagement, retention, and adoption. Partner with Product, Design, Data Science, Marketing, and Applied AI; establish experimentation and measurement practices; contribute to architecture and code; own initiatives end to end; and hire, coach, and develop the team.