Top Senior Software Engineer Jobs in Seattle, WA

Lead delivery of scalable software features and AI/ML-integrated models. Design, develop, test, debug, and maintain software using Java, JavaScript, and Python while driving CI/CD, automated testing, observability, and performance improvements. Collaborate with stakeholders, conduct code reviews, evaluate technical trade-offs, mentor peers, and support secure, maintainable platform solutions.

Build and operate scalable observability platforms covering metrics, logs, traces, alerting, dashboards, and service health. Develop self-service tooling, improve incident detection and response, establish observability standards, and optimize reliability, performance, and cost across global cloud-native systems. Partner with engineering, infrastructure, SRE, security, and product teams while participating in design reviews, incident response, and post-incident learning. Mentor engineers and promote operational excellence.

Design, develop, and maintain large-scale data infrastructure and tooling, including test infrastructure, data frameworks, compute clusters, metadata catalogs, and governance systems. Partner with product managers and engineers across teams to achieve product goals. The role requires strong software development experience, proficiency in Java or Go, and expertise in distributed systems.

Leads enterprise cloud networking architecture across AWS, Azure, and/or GCP. Defines reusable standards, designs secure and resilient solutions, manages technology and cybersecurity risks, remediates audit findings, and supports incident response. Mentors engineers, influences cross-functional architecture decisions, and promotes infrastructure automation and responsible AI-assisted engineering practices with strong validation, security, and auditability controls.

Leads the architecture and development of scalable, cloud-native, AI-powered software systems for Walmart Marketplace. Owns service execution and architectural integrity, drives DevOps, CI/CD, reliability, incident analysis, and performance improvements, and resolves architectural bottlenecks. The role also mentors engineers, promotes strong design and testing standards, and collaborates cross-functionally to deliver maintainable, business-aligned solutions.

Own the architecture and technical direction of a high-volume recognition platform spanning edge ingestion, identity resolution, real-time decisioning, notifications, and operator tools. Lead streaming pipeline design, privacy and consent models, observability, reliability, testing, progressive delivery, RFCs, cross-functional alignment, and mentorship. Build systems that combine deterministic rules with probabilistic computer vision signals under physical-world deployment constraints.

As a Senior Principal Engineer, you'll define and drive the technical strategy for customer experience platforms, lead architectural decisions, and mentor engineering teams to enhance customer and agent experiences.

Lead the architecture and technical strategy for Affirm’s high-volume observability platform. Design telemetry pipelines and sampling strategies, improve reliability and cost efficiency, integrate observability into AI-assisted development, and drive platform adoption across engineering teams. Remain hands-on while mentoring six engineers, leading cross-functional initiatives, establishing engineering standards, and overseeing monitoring, alerting, on-call operations, and system availability.

Provides organization-wide technical leadership for Atlassian’s Trusted Data Platform and Data Exchange Platform. Defines architecture and multi-year strategy for cloud-agnostic distributed data infrastructure, streaming, compute, platform intelligence, reliability, and disaster recovery. Leads cross-team initiatives, resolves architectural ambiguity, establishes engineering standards, drives reusable platform capabilities, manages incident response, and mentors senior and principal engineers across distributed global teams.

Senior Software Engineer role at Atlassian with flexible work-location options. The detailed job responsibilities and qualifications were not provided. Compensation ranges from $149,400 to $235,000 in U.S. geographic pay zones, with potential benefits, bonuses, commissions, and equity.

Lead technical strategy and architecture for Growth Engineering platforms. Build scalable backend infrastructure, distributed services, real-time data systems, AI-native capabilities, and reliable automation workflows. Partner cross-functionally to solve ambiguous business problems, mentor engineers, and deliver high-impact solutions from design through production.

Design, build, deploy, and operate scalable backend services and platform capabilities for growth engineering. Develop distributed systems, APIs, event-driven architectures, real-time processing, AI-powered workflows, and intelligent decision systems. Own end-to-end technical delivery while ensuring reliability, security, observability, and performance. Collaborate with Product, Data Science, Marketing, Sales, and Engineering teams, solve ambiguous business problems, improve engineering quality, and mentor other engineers.

Staff Software Engineer responsible for leading design and delivery of large-scale order platform capabilities spanning cloud and point-of-sale systems. The role drives architecture, performance, reliability, API design, code quality, incident response, and technical roadmap alignment. It also requires cross-team collaboration, domain expertise in order processing and synchronization, mentoring engineers, and using AI-assisted development tools to improve productivity.

Develop and maintain scalable Java and Kotlin backend services for NinjaOne’s SaaS backup and recovery platform. Design high-availability features supporting backup, archive, restore, and download workflows at large scale. Collaborate with globally distributed engineering teams, own architecture and design decisions, mentor engineers, optimize databases and distributed systems, and deliver reliable production software using technologies including AWS, PostgreSQL, Redis, Kafka, and REST frameworks.

Drives performance engineering and scalability across software systems by identifying bottlenecks, optimizing code, queries, databases, and architecture, and implementing fixes. Builds performance frameworks, data-generation tools, benchmarks, and CI/CD automation using k6, JavaScript, Grafana, and InfluxDB. Establishes performance standards, investigates distributed systems and cloud environments, documents architectural decisions, and collaborates with engineering teams to improve throughput, latency, reliability, and efficiency.

Lead frontend technical strategy for Affirm’s checkout decision orchestration systems. Design and architect scalable web applications, guide major technical initiatives, improve reliability and operational processes, establish engineering quality standards, collaborate with product, design, and analytics, and mentor engineers. The role focuses on building fast, clear, and reliable checkout experiences using modern declarative UI frameworks.

Senior Software Engineering IC3 role at Microsoft. The provided description includes compensation details, benefits eligibility, ongoing application acceptance, and equal employment opportunity information, but does not specify particular technical responsibilities, technologies, or qualification requirements.

Design, build, and operate low-latency, high-throughput ad delivery systems for bidding, ranking, auctions, and budget enforcement. Integrate ML signals, collaborate with product and data teams, improve observability and reliability, lead design discussions, and mentor junior engineers.

Design, implement, and maintain scalable serverless backend services and responsive Next.js front-end components. Build data scrapers and integrations, improve CI/CD and IaC, mentor junior engineers, and collaborate with product and clients to solve complex compliance problems.

Build identity, login, registration, and account experiences for Android mobile and Android TV using Kotlin. Develop shared Android SDKs, feature-flagged releases, A/B tests, telemetry, and privacy-related functionality at large scale. Diagnose Android device issues, maintain code quality through testing and reviews, document integrations, and collaborate with product, data science, design, legal, and privacy teams.

Build quantum developer tools, including languages, compilers, simulators, debuggers, profilers, VS Code integrations, and AI-enabled workflows. Develop reliable software in Rust, Python, and TypeScript; collaborate with quantum science and hardware experts; contribute to open-source projects; and advance technologies such as Q#, OpenQASM, QIR, LLVM, GPU development, and quantum computing stacks.

Designs and operates distributed database systems across query execution, transaction processing, durable storage, concurrency, replication, recovery, and upgrades. Responsibilities include improving database performance, building deterministic failure simulations, managing stateful rollouts, participating in on-call response, leading production changes and investigations, and mentoring engineers. The role requires deep systems expertise and experience operating correctness-sensitive stateful services in production.

Develop and maintain scalable control-plane software for DigitalOcean’s network products, including APIs, services, and tools. Responsibilities include implementing, testing, optimizing, and supporting reliable distributed systems; collaborating across networking teams; improving developer and customer experiences; establishing engineering best practices; and contributing to architecture, monitoring, performance, and mission-critical platform reliability.

Design, build, and operate scalable backend services and APIs. Lead technical solutions from requirements through deployment and support, drive architecture and reliability improvements, integrate AI/ML capabilities, and optimize distributed systems for high throughput and low latency. Collaborate across teams, conduct code reviews, mentor engineers, support incident response and root-cause analysis, and promote automation, observability, security, and operational excellence.

Design, build, and operate scalable backend services and APIs. Develop AI- and LLM-enabled capabilities, including agent integrations and retrieval workflows, while implementing guardrails for security, privacy, and reliability. Own features throughout design, development, deployment, monitoring, and incident response. Collaborate across teams, use metrics and experimentation to guide decisions, and mentor engineers on responsible AI-assisted development.