Top Software Engineer Jobs

Design, build, and deliver full-stack features for consumer health products. Collaborate cross-functionally, propose technical solutions, and use tools like GitHub, GCP, Go, React, and Terraform to implement scalable data integrations and patient-facing experiences.

Design, implement, and operate large-scale, multi-tier distributed Java services and APIs. Architect scalable, fault-tolerant systems (microservices/event-driven), process large datasets, integrate generative AI/Model Context Protocol, deploy to cloud platforms, instrument telemetry, and collaborate across engineering, product, QA, and operations to meet payments business requirements.

Design, develop, and deploy large-scale Android software and data integration solutions. Optimize system performance, implement RESTful APIs, perform gap analyses with architects, document technical/functional specifications, and provide status updates to stakeholders. Improve data accessibility and reduce downtime through testing, performance tuning, and platform integrations.

Design, develop, and deploy scalable, reliable Java-based enterprise applications. Build and maintain large-volume transaction frameworks using Java EE/Spring and ORM. Implement fault-tolerant RESTful and SOAP services, write and optimize SQL for Oracle/MySQL, and use testing frameworks (JUnit, Mockito). Troubleshoot, debug, and iterate on production issues while ensuring performance, scalability, and observability.

Design, develop, and customize Salesforce applications (Service, Sales, Marketing Clouds). Build Apex and LWC components, implement automations, integrate with external systems, migrate/manage data, test and deploy solutions, optimize performance, document designs, support users, and collaborate with product and QA teams for UAT and releases.

Design, develop, and deploy scalable Ruby on Rails web applications. Lead engineering projects, collaborate with product and QA, implement multi-tier distributed systems, write automated tests, maintain CI/CD pipelines, support application stability and performance, produce technical design documentation, and mentor peers.

Lead architecture, development, and maintenance of an internal BRD platform to automate the full feature requirement lifecycle. Build near real-time deployment pipelines, collaborate with feature teams, manage feature governance across product lines, and support data collection and TTM analysis for release insights.

Lead design and delivery of cloud-based, production-grade systems for new healthcare enterprise products. Build proofs-of-concept into scalable integrations with EHRs, devices, and AI-powered features (speech/LLM). Coordinate cross-team engineering work, set technical standards, mentor engineers, and drive adoption of AI-assisted development while ensuring reliability, security, and compliance.

Design, build, and maintain native iOS chat and AI-powered conversational experiences using Swift, SwiftUI, and UIKit. Implement real-time messaging, offline sync, REST/GraphQL integrations, rich markdown-based UIs, accessibility, security (OAuth, Keychain, encryption, certificate pinning), and performance/CI practices. Mentor engineers and drive architecture and engineering excellence.

Build and ship full‑stack features that turn Watershed's data layer into an intelligence platform: interactive visualizations, unified carbon data APIs, ingestion tools, and financial‑sector reporting features while collaborating with product, design, climate science, and data science.

Support and implement MuleSoft APIs, maintain Dynamics 365 and custom .NET/Java applications, manage data transfers with Azure WebJobs and Talend, work across databases and ETPL, design and enhance systems, collaborate with business and IT teams, and contribute within an Agile development environment.

Design and implement PostgreSQL internals, indexing, query engine extensions, and storage-layer features to support large-scale document workloads on Azure. Profile distributed systems, tune performance, collaborate with open-source communities, conduct design/code reviews, and drive cross-team alignment for mission-critical database features.

Technical leader on the Customer IQ team driving architecture and implementation of end-to-end customer data flows. Set technical direction, refactor legacy systems toward microservices/APIs, ensure data correctness, partner on automated testing and CI/CD, and translate business intent into robust, observable platform features.

Lead design, development, and delivery of scalable SaaS digital products. Collaborate with Product, Data, Design, QA, and Infrastructure; guide architecture and CI/CD practices; mentor engineers; oversee medium-to-large projects; troubleshoot production issues; document systems; and participate in hiring and technical reviews.

Lead design and deliver enterprise-grade, scalable software solutions; mentor engineers; drive CI/CD, testing automation, and AI-assisted engineering practices; evaluate emerging technologies; collaborate across regions to solve complex finance-focused engineering problems.

Define and manage system and subsystem requirements, architect Kubernetes-based software processing backends, create MBSE/SysML artifacts, plan integration and verification, coordinate cross-team stakeholders, manage technical risk and configuration, and support technical communication for modernized radar data processing systems.

Design, build, and maintain mission-critical full-stack applications used across SpaceX, including high-throughput manufacturing systems and large-scale data platforms. Own end-to-end software development, prototype designs, performance profiling, CI/CD, and collaborate on architecture and code reviews to support launches and Starlink operations.

Lead design, development, and delivery of scalable SaaS digital products. Translate product vision into technical requirements, architect cloud-native solutions, guide engineering teams on best practices, mentor engineers, participate in design reviews, troubleshoot production issues, and support hiring and project delivery across medium-to-large initiatives.

Design, architect, and implement cloud-first full-stack software using Java/C# and JavaScript frameworks. Provide technical leadership, mentor engineers, improve architecture and performance, promote CI and automated testing, and support customer implementation and cloud platform operations.

Design and build scalable backend systems and APIs using C#/.NET on AWS. Drive architecture decisions, write automated tests, meet performance SLAs, mentor engineers, and leverage AI coding tools to improve delivery and code quality.

Designs, researches, and implements complex cross-system software; translates customer requirements into solutions; develops and optimizes data models and storage; mentors junior engineers; performs code reviews, TDD, and complex bug fixes; operates in Agile/Waterfall environments and promotes development best practices.

Design, build, and maintain backend BI tooling, data pipelines, and platform features to generate operational metrics. Improve code quality, scalability, reliability, and performance; implement testing strategies; translate business requirements into technical plans; and mentor junior engineers while collaborating with product and stakeholder teams to deliver data-intensive analytics and reporting solutions.

Own and improve Attentive's first-party data collection across the JS tag, Cloudflare Workers, and Java backend. Expand edge compute capabilities, build agentic AI systems to detect and fix data-quality issues, harden the event ingestion pipeline for reliability and observability, and lead technical direction on a small autonomous team while mentoring engineers.

As a Senior Full Stack Developer, you will build an AI voice agent SaaS platform, work across the stack, lead through code quality, and automate development processes.

Design, develop, and maintain complex cross-system software; translate user requirements into solutions; implement best practices and development processes; resolve complex technical issues; mentor and train junior engineers; design complex data models and complete difficult bug fixes; participate in specifications, code reviews, and collaborate across teams in various development environments.