Top Entry Level Software Engineer Jobs in Seattle, WA

Develop, deploy, and maintain full-stack internal software tools for Shield AI teams. Collaborate with stakeholders to refine requirements, architect robust solutions, and deliver tools that improve team workflows. The role involves supporting a varied suite of applications, from aircraft physics analysis tools to ticket-tracking systems.

Develop, test, support, and troubleshoot production software for a TLD registry platform. Collaborate with experienced engineers to build scalable, reliable solutions using cloud technologies, databases, web applications, services, and background systems. Participate throughout the software development lifecycle, provide on-call support, identify root causes, and improve system performance and maintainability while supporting global business operations.

Develop and launch scalable full-stack search systems using JavaScript, TypeScript, Python, or Kotlin. Collaborate with engineers and stakeholders, balance delivery speed with system reliability, debug code, participate in code reviews, write tested and extensible software, and contribute to team growth and communication.

Design, develop, test, and maintain scalable distributed systems, APIs, cloud services, and platform capabilities for secure U.S. government environments. Build monitoring, telemetry, automated tests, and operational tooling; diagnose issues; participate in incident response and readiness reviews; apply security and compliance practices; and collaborate with product, infrastructure, security, and engineering teams.

Designs and develops Java and TypeScript web services using REST APIs, Spring Boot, Azure, React, microservices, Kafka, and SQL. Responsibilities include translating requirements into technical solutions, coding, unit and integration testing, performance tuning, troubleshooting production issues, conducting root cause analysis, collaborating with cross-functional teams, and supporting on-time software delivery.

Develop and maintain full-stack internal software tools used across Shield AI. Responsibilities include gathering and refining requirements, architecting robust solutions, deploying internal applications, and maintaining existing tooling. The role requires collaboration with multiple teams and may involve projects ranging from aircraft physics analysis to ticket tracking systems.

Develop foundational XR support for the Unity Engine by integrating third-party SDKs and next-generation hardware platforms. Collaborate with internal teams and external partners to deliver consistent AR/VR development experiences. Implement engine technologies, investigate issues, participate in code reviews and planning, and write automated tests. Coordinate with embedded QA to establish testing methodologies and maintain software quality.

Build and extend Databricks platform features across backend, full stack, infrastructure, databases, systems, cloud, and customer-facing products. Responsibilities include full software development lifecycle ownership, architecture improvements, testing, production operations, and developing reliable, scalable, and secure solutions. New graduates will participate in collaborative projects with mentorship and learning opportunities.

Build distributed data infrastructure for Databricks' lakehouse platform. Responsibilities may include query compilation and optimization, distributed query execution, vectorized processing, data security, resource management, transaction coordination, storage structures, physical data optimization, and storage management. The role is intended for new graduates starting in 2027 and requires strong programming, algorithms, data structures, object-oriented programming, and project experience.

Build and operate automation, monitoring, diagnostics, validation, and repair tooling for Fluidstack’s large-scale datacenter network. Own fleet health, alerting, dashboards, network qualification, incident response, and reliability across sites. Develop production tools in Go and Python using network protocols and systems such as gNMI, gRPC, NETCONF, and SONiC. Automate fault detection, ticketing, RMA workflows, transceiver tracking, and return-to-service processes.

Build and ship features, services, and developer tools for large-scale distributed Azure cloud systems. Own features from design through production, write high-quality code, support services through on-call rotations, monitor and resolve incidents, investigate outages, and create operational documentation. Collaborate across Microsoft teams while integrating technologies and responsibly using AI tools throughout the software development lifecycle.

Design and implement backend APIs, microservices, and checkout platform components for Affirm’s financial products. Own system health, improve performance and reliability, collaborate across engineering teams, and contribute to technical standards, tooling, and processes. The role requires developing, testing, and shipping high-quality software at scale while making customer-centric technical decisions.

Principal Software Engineer role at Atlassian with flexible remote, office, or hybrid work options. The provided description primarily details compensation, benefits, company culture, equal employment practices, and employment verification requirements; specific responsibilities and technical qualifications are not included.

Own customer-facing product features across the full stack, from ambiguous problems through measurable outcomes. Make architecture and product decisions, use telemetry to guide design, and build AI-enabled and agentic experiences integrating LLMs. Set technical direction, influence product strategy, mentor engineers, and drive prototypes into reliable, performant production systems at scale.

Build complete applications, workflow automations, and basic AI agents using AI coding tools. Translate customer needs into specifications, deploy solutions, measure usage and outcomes, evaluate AI-generated code for security and reliability, identify automation opportunities through customer conversations, and document effective prompts and development patterns.

Develops and deploys software solutions for US government customers, working directly with users to understand complex operational problems and apply data-driven approaches. Responsibilities include architecture design, large-scale data processing, custom web application development, customer engagement, technical strategy, and end-to-end project ownership. The role requires strong coding, collaboration, autonomy, continuous learning, and an active Secret-level or higher US security clearance, with travel as needed.

Design, build, and operate secure access proxies, gateways, credential brokers, and distributed identity infrastructure. Integrate authorization policies, observability, and identity attribution across systems. Improve performance, reliability, and multi-region recovery through testing, load validation, canaries, and failure testing. Own production support, incident recovery, migrations, APIs, client tooling, and self-service workflows while enforcing least privilege and auditable access.

Own and improve Baseten’s billing and revenue infrastructure, including pricing, invoicing, metering, reporting, and Orb integrations. Build internal tooling for quoting, approvals, renewals, usage reconciliation, and revenue reporting. Partner with Finance, Sales, GTM, and engineering teams while driving reliability, monitoring, incident response, production debugging, and scalable technical solutions.

Build and maintain full-stack video-on-demand, clips, and short-form content systems serving millions of concurrent users. Develop backend services in Go and frontend experiences in React, collaborate with product and design teams, support live services, resolve production issues, and contribute to scalable distributed systems.

Build internal web applications, APIs, integrations, AI-assisted workflows, knowledge repositories, dashboards, Slack bots, and PDLC automations. Connect tools such as Jira, GitHub, Notion, and data platforms with go-to-market systems. Prototype rapidly, collaborate across Product, Engineering, Program Management, Analytics, and commercial teams, and ensure secure, documented, auditable solutions.

Develop and launch AI-powered applications and services from prototype through production. Build paid media integrations, work with APIs and external systems, make full-stack technical decisions, and collaborate with product and AI research teams. The role requires independently solving ambiguous problems, rapidly validating ideas, and delivering scalable, reliable software for enterprise customers.

Develop and maintain full-stack healthcare applications using C#, .NET, ASP.NET Core, JavaScript, and SQL Server. Design APIs, services, background jobs, database procedures, and responsive interfaces; troubleshoot across application and deployment layers; write automated tests; modernize legacy systems; build secure healthcare integrations; and protect sensitive data. Collaborate with product, QA, support, and implementation teams while participating in design reviews, code reviews, testing, and release validation.

Build and maintain backend services, REST APIs, cloud workspace provisioning systems, and resource orchestration infrastructure. Improve performance, reliability, scalability, and security while developing integrations, SDKs, and developer tools. Contribute to architecture and ship features from concept to production. The role requires strong TypeScript, JavaScript, and Node.js skills, backend and database knowledge, and familiarity with Docker, Linux, and cloud infrastructure.

Build and ship end-to-end memory and search experiences across Claude products, from backend services and retrieval infrastructure through model tools and user interfaces. Run user-facing experiments, improve retrieval relevance and ranking, define product metrics and evaluations, and ensure privacy, consent, enterprise controls, latency, reliability, and product quality. Collaborate closely with product, design, legal, privacy, and safeguards teams while participating in on-call responsibilities.

Design, implement, and optimize GPU software for LLM training using CUDA, WebGPU, and GLSL. Profile and tune GPU kernels and shaders for performance, and develop host-side integrations in C++. The contractor will complete output-based tasks, meet minimum weekly submission requirements, and begin work shortly after onboarding.