Top Software Engineer Jobs

Design, implement, and operate large-scale Ads infrastructure on Azure. Build and optimize data ingestion, storage, and streaming pipelines; ship new ad-product features; apply ML/AI to improve ad quality; analyze data for technical design; and handle live-site escalations with customers.

Own the technical direction of a core Helius backend system, including architecture, reliability, performance, roadmap, and production operations. Design scalable distributed systems, storage, streaming, or edge infrastructure; drive profiling and performance improvements; establish operational excellence; partner with founders on strategy; mentor engineers; and lead ambiguous cross-team initiatives.

Own and advance a core Helius backend system supporting Solana infrastructure. Design and release high-performance products, optimize latency and throughput, make architectural decisions, improve observability and incident response, and mentor engineers. The role requires end-to-end ownership of production systems at scale, with close collaboration with founders and engineering leadership. Relevant systems include data streaming, historical APIs, account indexing, and access control infrastructure.

Lead the development of an enterprise content safety platform, mentor junior engineers, and collaborate with product teams to deliver innovative solutions while using technologies like Python and React.

Build and enhance CRM solutions for Microsoft Advertising by integrating advertiser data with Ads systems, marketing automation tools, and Power BI. Develop AI-enhanced workflows and automation that improve seller efficiency, collaborate with product, data engineering, and sales teams, and maintain data integrity, privacy compliance, and security standards. The role requires software engineering experience, cloud technology knowledge, and experience with large-scale systems and API design.

Build and evolve scalable software for digital pathology and medical imaging. Responsibilities include developing TypeScript and Vue applications, backend services, APIs, microservices, cloud-native infrastructure, automated tests, and CI/CD pipelines. The role contributes to architecture, observability, performance, developer productivity, and AI-assisted engineering workflows. Collaboration occurs across Agile/Scrum teams, with opportunities to improve engineering standards and deliver reliable healthcare software.

Develop full-stack solutions using TypeScript and AWS cloud technologies. Responsibilities include building GraphQL APIs, business logic libraries, AWS Lambda functions with CDK, AWS Glue automation, and Angular/Ionic user interfaces. The engineer will also support CI/CD, Git repositories, linting, developer workflows, requirements management, and HIPAA-compliant software development. Collaboration with engineers, management, and business analysts is required.

Design, develop, and maintain scalable AI-forward APIs, MCPs, and services for Microsoft 365. Lead features from concept through launch, write reusable code, document designs, estimate work, and support production services through on-call responsibilities. Improve reliability, performance, and scalability while mentoring engineers and establishing technical best practices across teams.

Architect and deliver high-performance, scalable platform services across GitHub (Actions, Identity, Billing, Git systems, DB infra). Lead design through production, mentor engineers, own reliability and on-call responsibilities, design APIs, collaborate cross-functionally, drive roadmaps, and champion security and operational excellence.

Design and build distributed storage systems optimized for AI and machine learning workloads at hyperscale. Lead architecture, development, testing, deployment, scalability, performance, security, and efficiency initiatives for zettabyte-scale Azure storage. Collaborate with AI researchers and cloud infrastructure teams, mentor engineers, evaluate emerging technologies, and solve complex problems involving availability, durability, replication, high-performance I/O, metadata, indexing, caching, and data placement.

Design, develop, and maintain high-scale, low-latency services for Microsoft’s AI monetization platform. Write maintainable, performant, and testable code; lead architectural and technical discussions; collaborate with partner teams; and drive delivery of complex projects. The role supports consumption-based billing, licensing, usage telemetry, and ROI capabilities across the Copilot ecosystem.

Design, develop, and maintain scalable full-stack web applications, microservices, databases, and cloud infrastructure. Lead features from concept through launch, write reusable code, document designs, estimate work, and support on-call operations. Improve reliability, performance, and scalability while mentoring team members and collaborating across Microsoft teams.

Lead the design and development of Microsoft’s global-scale, Kubernetes-based cloud service platform. Provide technical leadership across teams, define requirements and architecture, mentor engineers, oversee project and release plans, and serve as a responsible on-call owner. Improve platform availability, reliability, security, observability, efficiency, and performance while standardizing service delivery across Microsoft cloud workloads.

Build and scale AI-first internal tools, including document parsing engines, Slack applications, workflow utilities, and LLM evaluation systems. Develop automated testing and benchmarking for non-deterministic AI outputs, integrate LLM APIs, and partner with Finance, Legal, Customer Success, and Revenue Operations teams. Establish best practices for AI-assisted software development while delivering maintainable, secure, reliable full-stack solutions.

Designs and maintains scalable backend data pipelines using distributed processing frameworks such as Apache Spark. Builds RESTful APIs, data integrations, model-serving pipelines, monitoring and observability systems, and optimized storage solutions across relational, NoSQL, and cloud data platforms. Partners with data scientists, machine learning engineers, and stakeholders on architecture and production infrastructure. Requires five years of relevant experience, including substantial experience with software development, cloud platforms, distributed systems, data pipelines, APIs, databases, and performance optimization.

Design, develop, test, maintain, and deploy real-time, high-availability software for safety-critical national airspace systems. Lead development activities, analyze requirements, create reliable and fault-tolerant designs, mentor junior developers, participate in Agile ceremonies, develop automation scripts, and support hardware and low-level communications integration.

Staff Software Engineer leading complex, cross-team engineering initiatives; designing distributed, cloud, or large-scale data systems; providing technical leadership and mentorship; improving reliability, observability, operational excellence, engineering standards, and culture; and potentially driving platform modernization and cost-aware engineering practices.

Build and operate integrations connecting operations, ERP, payroll, contact center, and other business systems. Replace manual workflows with reliable cloud services, develop APIs on Azure, and create internal, driver-facing Android, and customer-facing web applications. The role independently scopes, builds, deploys, and supports production software while partnering directly with the CTO.

Leads a software development team while remaining hands-on with full-stack architecture, development, testing, deployment, and delivery. Represents engineering in design reviews and customer discussions, mentors engineers, supports staffing and onboarding, and partners with product, test, and chief engineering teams. Improves CI/CD and development workflows, prepares technical documentation and status reports, hosts demonstrations, and contributes to technology selection and long-term product strategy.

Design and deliver backend services for a sophisticated B2B platform. Build durable APIs, data models, resilient workflows, and systems that handle failures, retries, and complex business rules. Improve developer tooling, observability, and operational reliability while contributing to architecture decisions and engineering standards. Partner with product, design, and customer-facing teams, translate ambiguous requirements into technical plans, mentor teammates, and maintain high-quality production software.

Seeking a Senior Software Engineer with 5+ years of experience to design and develop large-scale distributed systems, mentor junior engineers, and manage complex projects in a dynamic setting.

Design, build, and maintain backend services in TypeScript for millions of users; develop full‑stack features with React/React Native; participate in code reviews; provide technical leadership, mentorship, and architecture guidance; collaborate with PM and design; use monitoring/metrics and Agile practices to deliver scalable, user-focused products.

Lead the design and development of scalable traffic management, network optimization, and cloud orchestration systems. Drive architecture, technical roadmaps, secure-by-default networking, design reviews, and cross-functional alignment. Mentor engineers and optimize distributed systems for reliability, performance, cost, and global scalability while incorporating customer and business requirements.

Leads engineering projects and manages technical integration, design reviews, staffing, and team performance. Oversees scalable data solutions, data quality, automated workflows, CI, testing, deployment frameworks, root-cause analysis, and code reviews. Builds and optimizes batch and streaming data pipelines, ETL workflows, data lakes, LakeHouse architectures, and reporting solutions using Spark, SQL, Python, AWS, Informatica, Airflow, Snowflake, Hive, Hadoop, and Unix.

Provides Tier 3 technical escalation support for the Converge payment platform. Investigates critical production incidents across application, infrastructure, database, and integration layers; performs root cause analysis; troubleshoots logs, configurations, APIs, and transaction workflows; and develops workarounds and corrective actions. Collaborates with engineering, infrastructure, product, support, and customer teams while supporting incident, problem, change, release, and production health management processes.