Top Senior Software Engineer Jobs

As a Senior Software Engineer, you will design and build backend services and APIs for healthcare delivery, ensuring system reliability and integrating medical devices while leading projects and mentoring engineers.

As a Senior Software Engineer at Whatnot, you'll build AI tooling for internal use, developing workflows and infrastructure to enhance software delivery. You'll collaborate across teams to gather feedback and prioritize features in a rapidly evolving landscape.

Develop and maintain C++ systems for Teamfight Tactics on iOS and Android using Unreal Engine. Diagnose cross-platform, engine, and native mobile issues; optimize performance, memory, stability, and reliability; and influence architecture, engineering practices, tooling, testing, and release processes. Collaborate with multidisciplinary teams, provide technical leadership, mentor engineers, and participate in on-call support.

Develop and optimize software for testing, commanding, and monitoring spacecraft. Own software lifecycles through operations, configuration, maintenance, upgrades, and user support. Configure automated testing and deployment systems, maintain ground control systems, mentor junior engineers, and support spacecraft communications at launch sites and in orbit.

Design, build, and support full-stack web applications, backend services, APIs, data models, pipelines, and development tooling. Collaborate in a heterogeneous environment using modern frontend and application-server technologies. Help establish scalable software practices and patterns for a growing codebase and engineering team, supporting mission software for human-rated artificial-gravity space stations.

Develop and optimize complex C++ software and algorithms for EO/IR defense systems. Analyze designs, identify flaws, support requirements through testing and integration, and collaborate with systems, hardware, and test engineers. Provide technical leadership, evaluate emerging technologies, improve development processes, and serve as a subject matter expert in algorithm design for electro-optical and infrared applications.

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.

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.

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.

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.

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.