Top Senior Software Engineer Jobs

Design, develop, and maintain scalable AI-forward APIs, Model Context Protocols, and services for M365 data access. Lead features from concept through launch, write reusable code, estimate work, monitor production systems as an on-call DRI, improve reliability and scalability, and mentor engineers.

Design, develop, deploy, and operate planetary-scale Kubernetes infrastructure for Azure Monitor and observability services. Lead architecture and code reviews, improve reliability, security, networking, diagnostics, and cost efficiency, and resolve complex production issues end to end. Collaborate across teams and Azure regions, establish engineering standards, mentor engineers, drive architectural alignment, and help safely apply AI-assisted operations to cloud infrastructure.

Design, build, and operate secure distributed systems, engineering platforms, tooling, and automation for security, compliance, sovereign cloud readiness, and developer productivity. Apply AI-first and agentic engineering practices, develop data-driven solutions, partner across organizations, influence technical strategy, and mentor engineers. The role involves hands-on implementation and operation of scalable Azure-based platforms and services.

Lead the architecture and evolution of Uber’s large-scale streaming data platform. Design resilient distributed systems, optimize performance and resource utilization, improve observability and automation, drive cross-organizational infrastructure initiatives, establish reliability practices, and mentor senior engineers. The role focuses on high-throughput, low-latency, multi-tenant streaming infrastructure supporting real-time applications, analytics, and machine learning.

Leads the design, development, and delivery of enterprise-scale software initiatives. Architects cloud-native applications, APIs, integrations, data solutions, authentication systems, and front-end experiences. Provides technical leadership through architecture and code reviews, influences engineering strategy, mentors teams, and collaborates with product and business stakeholders. The role also supports customer data and engagement platform integrations, modernization efforts, and scalable software delivery using technologies such as Azure, REST, GraphQL, and microservices.

Lead the technical direction and hands-on development of NetBox Delivery, including Kubernetes operators, controllers, APIs, release tooling, observability, and deployment infrastructure. Improve NetBox reliability and performance, establish engineering standards, mentor engineers, coordinate cross-team architecture and release initiatives, and serve as a technical escalation point during incidents.

Design, develop, deploy, and maintain high-volume backend systems supporting customer funding, trading, and back-office operations. Lead development practices through code reviews, mentoring, architecture guidance, and quality ownership. Build reliable, observable software using Python and TypeScript, collaborate with finance and trading teams, improve operational efficiency, document workflows, and oversee projects from design through iteration.

Develops RPA bots and software using Automation Anywhere, UiPath, Python, JavaScript, Java, and SQL. Builds automated testing and CI/CD pipelines, deploys containerized applications, troubleshoots production and infrastructure issues, and supports full software lifecycle delivery in DoD environments. Collaborates with distributed Agile teams, mitigates technical risks, and ensures applications meet security standards.

Develop and operate mission-critical flight dynamics software for Blue Ring spacecraft, including orbit determination, maneuver planning, collision avoidance, telemetry processing, and flight dynamics product generation. Build microservices and data pipelines, translate astrodynamics algorithms into production systems, and support testing, verification, certification, mission operations, training, and spacecraft integration. Collaborate with engineering, infrastructure, mission control, and customer teams while maintaining safety-critical software standards.

Develop and maintain reliable, secure, high-performance software for rating and quoting. Responsibilities include translating requirements into designs, estimating work, writing and optimizing code, improving availability, implementing automated tests, conducting code reviews, resolving security and performance issues, collaborating across teams, and mentoring engineers. The role also involves applying AI-assisted development tools and staying current with emerging technologies.

Develop and maintain production-grade market data feed handlers and quant-ready data archives supporting research and trading. Work with C++ and Python across proprietary equities protocols, order book data, normalization, gap detection, reconciliation, and backfills. Collaborate with quantitative researchers, support expansion into global markets, improve data systems, and mentor teammates. The role requires strong understanding of market microstructure, venue-specific behavior, and maintainable engineering practices.

Leads the design, development, integration, and optimization of data-driven software for the GCCS-J modernization program. Provides technical leadership across the software lifecycle, developing scalable architectures, data workflows, cloud-native services, microservices, and mission-aligned solutions. Requires expertise in Java, JavaScript, TypeScript, REST services, messaging platforms, databases, frontend frameworks, Linux, containers, and software architecture. The role requires an active Secret clearance and involves 10% travel.

Leads development of secure, scalable software solutions using Java, Spring Boot, React.js, and cloud-native technologies. Designs systems, writes and reviews production code, troubleshoots issues, improves operational stability, and guides agile SDLC practices. Promotes responsible AI-assisted engineering, including validation for security, correctness, and performance. Collaborates with vendors and internal teams to evaluate architectures and technology solutions within financial services environments.

Develops and maintains cloud-based applications, embedded software, knowledge-management tools, and business-process modernization solutions supporting NGA. Responsibilities include requirements gathering, programming, testing, debugging, network automation, web content management, user-interface development, process improvement, workforce training, and technical briefings. The role requires collaboration with engineers, leadership, and agency stakeholders in Agile, DevOps, and classified-network environments.

The role involves developing and implementing features for the CUDA driver and collaborating on solutions for NVIDIA's compute platform, requiring strong coding and design skills.

Lead the architecture and implementation of AI-assisted developer tooling, local development workflows, build and test systems, CI/CD platforms, and deployment processes. Mentor software engineers, establish engineering best practices and governance, configure AI agents and MCP servers, improve development tools and languages, and communicate technical guidance to stakeholders.

Design, build, operate, and evolve high-throughput, low-latency distributed ad-serving and real-time decisioning systems. Own subsystems end to end, diagnose concurrency and statistical issues, improve reliability and performance, collaborate with applied scientists, mentor engineers, and align technical initiatives across teams. The role also involves using AI coding assistants and agentic tools to accelerate development, debugging, and understanding complex codebases.

Build and maintain scalable semantic indexing, ingestion, and search services for Microsoft 365 enterprise data at exabyte scale. Develop high-performance, low-latency, highly available software; participate in architecture, testing, deployment, code reviews, and maintenance. Collaborate across engineering teams and with stakeholders while addressing technical debt, privacy, security, compliance, reliability, and delivery risks. Apply advances in LLMs, semantic search, and vector indexing to improve Copilot.

Lead optimization of Azure Cosmos DB for Microsoft's global AI plugin registry. Reduce RU consumption, eliminate throttling, resolve hot partitions, tune queries and indexes, improve latency and availability, and design scalable data models. Drive zero-downtime migrations, caching, batching, rate limits, telemetry, and graceful degradation. Serve in 24/7 on-call rotations, lead incident response, develop AI-assisted engineering tools, mentor engineers, and partner with the Cosmos DB product group.

Design, build, test, deploy, and operate scalable platform services, APIs, SDKs, CLI tools, governance systems, and AI-powered application experiences. Partner with engineering and product teams, improve reliability and observability, respond to incidents, conduct code reviews, and mentor engineers. The role focuses on Power Apps Code Apps, Copilot Studio, Dataverse, generative AI, and enterprise application development.

Provides technical leadership for architecture and evolution of large-scale distributed data platforms supporting Azure network telemetry. Designs streaming and batch systems, establishes reusable engineering patterns, drives cross-team technical strategy, and owns capabilities from design through production operations. Ensures scalability, reliability, security, performance, data quality, and operational excellence while mentoring engineers and influencing technical leaders. The role also involves architectural reviews, dependency management, risk reduction, and applying AI or machine learning approaches to operational systems.

Designs and develops software to automate onboarding, validation, management, tracking, and lifecycle operations for new hardware deployed in Microsoft datacenters. Responsibilities include requirements analysis, system design, coding, debugging, optimization, reliability engineering, monitoring, on-call support, and incident response. The role collaborates with Azure teams and stakeholders while improving scalability, security, availability, observability, and performance across cloud and distributed systems.

Design, build, and operate high-volume, low-latency data movement and replication services for Microsoft Fabric. Lead architecture, code quality, testing, debugging, cross-team dependencies, and reliability while mentoring engineers and driving scalable cloud solutions.

Leads architecture and production delivery of a near-real-time observability platform for large-scale AI supercomputers. Responsibilities include telemetry ingestion, processing, storage, querying, topology and health modeling, 1P/3P data convergence, AI-assisted anomaly detection, technician dashboards, repair validation, security, reliability, cross-team technical leadership, and mentoring.

Designs and implements Nanoproxy features for Microsoft 365, building highly available distributed systems that route massive traffic volumes. Responsibilities include architecture design, coding, code reviews, mentoring engineers, and full-service DevOps ownership spanning planning, delivery, monitoring, and on-call support. The role focuses on cloud proxy architecture, networking, resilience, security, and low-latency routing across thousands of servers.