Top Senior Software Engineer Jobs

Design, develop, test, document, and maintain scalable big data solutions. Build APIs, evaluate technologies, translate requirements into solution designs, estimate development efforts, and collaborate with engineering, QA, architecture, and management teams. Provide production support, participate in prototypes and code reviews, document solutions, and continuously develop technical skills.

Leads the design, development, testing, and optimization of large-scale data engineering solutions. Responsibilities include building Python and PySpark ETL pipelines, orchestrating workflows, developing AWS cloud-native services, managing data lakes and Snowflake environments, and implementing testing, CI/CD, and secure engineering practices. The role also promotes responsible AI-assisted development, mentors engineers, participates in code reviews, and drives technical delivery initiatives.

Own application-layer reliability for AI-powered features by defining SLI/SLO frameworks, building observability dashboards, analyzing usage trends, and developing LangGraph agents for diagnostics and remediation. Create agent evaluation harnesses, write complex BigQuery SQL, develop Python automation, support safe deployments, and lead incident response and blameless postmortems. Partner with application, data, and infrastructure engineering teams to improve reliability, monitoring, and user experience.

Staff Software Engineer leading architecture, hands-on development, and delivery of reliable frontend, backend, API, data, and production systems across multiple teams. The role drives multi-quarter initiatives, AI-enabled engineering practices, system scalability, security, observability, incident response, technical standards, mentorship, and alignment between technical investments and product outcomes.

Lead architecture and implementation of Together AI’s global GPU cloud infrastructure. Own GPU and network virtualization, in-data-center IaaS, distributed scheduling and management planes, fault-tolerant automation, and customer-facing production systems. Set technical direction across teams, mentor engineers, establish engineering standards, and build scalable services spanning Kubernetes, compute, storage, networking, and GPU infrastructure.

Design, implement, and deploy scalable ad-serving, measurement, and targeting systems. Optimize big data applications for performance and cost. Own projects end-to-end, mentor junior engineers, drive technical design and best practices, and collaborate cross-functionally and with global engineering teams to enhance targeting and measurement integrations.

Build and operate end-to-end consumer-scale features across backend services, APIs, iOS, and Android for Life360’s Aging in Place segment. Use AI tools and agentic workflows extensively, establish AI-native engineering practices, contribute to architecture and code reviews, participate in on-call response, mentor teammates, and ensure performance, reliability, accessibility, and member impact across owned features.

Own and deliver polished, accessible, high-performance frontend experiences using React and TypeScript. Set frontend technical standards, mentor engineers, use AI-assisted development tools, and contribute to product roadmaps. Build backend services and APIs in Go as needed, collaborate with stakeholders, document user-facing products, and help shape engineering culture and quality.

Leads architecture and development of NVIDIA’s network visibility platform, integrating topology, configuration, telemetry, active measurement, change intelligence, and self-service tools. Builds authoritative network models, defines observability and measurement strategies, establishes data contracts and quality standards, and delivers health, path, and blast-radius insights. Drives cross-functional roadmaps, build-versus-buy decisions, operational tradeoffs, and technical mentorship across large-scale infrastructure systems.

Develop and maintain Python backend services, primarily with Flask, while designing scalable architecture and integrating legacy systems. Build AWS solutions using Lambda, Cognito, SNS, SQS, and DynamoDB; maintain CI/CD pipelines and infrastructure as code with OpenTofu and Terraform. Collaborate in an Agile/Scrum environment, contribute to technical decisions and engineering standards, review code, and mentor junior developers.

Develop and maintain resilient, secure payment applications using Java and Spring Boot. Responsibilities include requirements analysis, database design and optimization, SOAP and REST API integration, code reviews, source control, production support, monitoring, incident management, and collaboration with technical and business stakeholders in a regulated banking environment.

Design, build, deploy, and scale distributed cloud systems for NVIDIA GeForce NOW. Develop backend services and microservices, optimize reliability and performance, drive automation, monitoring, and infrastructure improvements, and build scalable test harnesses. Influence architecture and technology choices while collaborating across teams, mentoring engineers, and promoting technical excellence and operational ownership.

Build and operate backend services, third-party integrations, data-processing workflows, and ML/LLM systems for legal and medical data. Refactor monolithic services, optimize scalable infrastructure, troubleshoot production issues, apply security practices, mentor engineers, and collaborate with stakeholders and external technical partners. The role also involves API development, cloud infrastructure, document extraction, and evaluating AI system performance.

Lead development of secure, scalable digital banking software across front-end and backend systems. Design Angular or React applications, build APIs, optimize SQL performance, integrate third-party platforms, improve code quality, implement testing strategies, and mentor engineers. Collaborate with cross-functional teams in an Agile environment while supporting cloud-native practices, regulatory compliance, and continuous product improvement.

Build and evolve shared Coaching and Player Personnel products through architecture, full-stack development, reusable APIs, backend services, frontend components, data pipelines, integrations, testing, and CI/CD. Lead complex technical projects, make system design decisions, review code, mentor engineers, and collaborate with Product, Data, Design, and other partners.

Design, build, and support scalable full-stack software, backend services, databases, and cloud-native applications for investment risk and portfolio analytics. Contribute to architecture, technical decisions, automated testing, observability, CI/CD, data reliability, and technical debt reduction. Partner with engineering, product, business stakeholders, risk analysts, portfolio managers, and quants to deliver effective technology solutions.

Build and operate Betterment’s shared GraphQL API frameworks, authentication and authorization systems, internal tooling, and secure MCP access. Partner with product, operations, support, compliance, and engineering teams to deliver reliable platform capabilities in a regulated financial environment. Contribute to observability, testing, incident response, safe rollouts, AI-agent API access, and developer experience while mentoring junior engineers and influencing technical direction.

Lead development of CoLab's simulation review capabilities: ingest and process industry-standard simulation data, build high-performance visualization for large datasets, collaborate with Product and customers, and define architecture and UX for a new Simulation product area.

Design, develop, test, deploy, maintain, and document software applications and systems across the software development life cycle. Participate in requirements, estimation, testing, reviews, and project planning. Debug code, conduct code reviews, provide technical guidance, mentor junior developers, and support development workflows. Use modern cloud, CI/CD, configuration automation, database, source control, and monitoring technologies.

Design and develop cloud-native microservices using Java, Spring Boot, GCP, and Kubernetes. Lead architecture decisions, CI/CD deployments, infrastructure-as-code practices, reliability and security standards, documentation, agile ceremonies, technical presentations, and prototyping. Manage and mentor cross-functional engineering teams while monitoring SLA, SLO, SLI, quality, security, and FinOps metrics.

Build full-stack internal tools that improve the safety and reliability of AI models. Partner with researchers, engineers, and policy teams to support data labeling, failure-case analysis, model-policy workflows, and safety insight generation. Optimize applications for usability, performance, and scale, then help transform successful AI-assisted safety workflows into external safety products.

Develop, test, maintain, and modernize Java and Angular applications, RESTful APIs, database integrations, microservices, and containerized deployments. Support Spring Boot migrations, Kubernetes environments, CI/CD pipelines, automated testing, architecture and code reviews, troubleshooting, documentation, and database administration across cloud and on-premises infrastructure. Collaborate on requirements analysis, software design, DevSecOps practices, and continuous improvement while supporting federal government customers.

Design, build, operate, and debug backend services supporting large-scale media acquisition, processing, metadata, and delivery across Disney streaming platforms. The role develops distributed systems using JVM technologies and AWS, handles production issues across service boundaries, collaborates with partner teams, reviews code, and mentors teammates. Preferred experience includes Kafka, video processing pipelines, Kubernetes, observability tooling, and operating production systems.

Build and own production web applications across the enterprise, including full-stack solutions and Palantir Foundry applications. Integrate AI capabilities such as LLM tools, agentic workflows, and automation. Establish development standards, support citizen developers, improve secure SDLC practices, and manage application architecture, deployment, testing, and ongoing support while collaborating with business and IT stakeholders.

Build backend services and low-latency voice pipelines for AI agents handling healthcare calls. Develop call orchestration, conversation state, tool execution, EHR integrations, scheduling workflows, and real-time telephony, ASR, LLM, and TTS systems. Establish APIs, data models, event-driven workflows, observability, reliability, and release standards while partnering with AI, product, and operations teams. Mentor engineers and deliver production features from the Mountain View office.