Top Software Engineer Jobs

Designs, develops, tests, maintains, and improves complex business applications in a PCI-compliant environment. The role involves peer code reviews, Agile development in Azure DevOps, large-scale cross-team projects, system performance and availability, and collaboration with business stakeholders. The developer will use object-oriented programming, shell scripting, source control, Microsoft Dynamics technologies, and AI-powered development tools while participating in an on-call rotation.

Owner of localization automation and integration: design and maintain automation frameworks (Python, APIs), integrate AI/LLM solutions, manage TMS (XTM, Smartling), perform i18n code audits, root-cause complex integration issues, and build self-service tooling for early localization detection.

Develops software solutions by interpreting requirements and creating code, databases, and user interfaces. Supports requirements definition, acceptance criteria, business requirements documentation, and Agile team processes while following security and CMMI requirements. Requires an active DOE Q or Top Secret clearance and eligibility to obtain SCI access. The position is full-time in Albuquerque, New Mexico, and contingent upon contract award.

Develop technical solutions using programming code, databases, and user interfaces; interpret requirements; document business requirements; ensure acceptance criteria are understood; and follow DOE security and process requirements. The role requires Agile experience, CMMI knowledge, strong communication and critical-thinking skills, and an active DOE Q or Top Secret clearance with the ability to obtain SCI.

Develop software solutions by interpreting requirements and creating programming code, database functionality, and user interfaces. Support Agile delivery, acceptance criteria, business requirements documentation, and NA-IM security and process compliance. The role requires collaboration, strong communication, critical thinking, and adherence to CMMI practices. A current active DOE Q or Top Secret clearance is required, with the ability to obtain SCI access. The position is based in Albuquerque and contingent upon contract award.

Own core platform modules from architecture through deployment. Build data pipelines, computation layers, orchestration logic, and user-facing interfaces while shipping production code quickly. Work directly with the founder to define technology and product priorities, identify system gaps, and deliver end-to-end solutions. The role requires full-stack versatility, modern AI tooling familiarity, independent execution, and in-person work in San Francisco.

Defines the technical vision and architecture for Microsoft Fabric’s distributed query processing platform. Leads distributed execution, scheduling, resource management, workload isolation, performance optimization, reliability, and scalability initiatives. Partners across engineering and product teams, establishes technical standards, mentors senior engineers, drives cross-organizational programs, and advances AI-driven development, automation, and intelligent observability for cloud-scale analytics.

Leads technical strategy and execution for complex software products, architecting secure, scalable distributed systems and guiding implementation across teams. Owns production health through observability, incident response, root-cause analysis, and reliability improvements. Drives technical direction, planning, risk management, and delivery predictability while mentoring senior engineers and influencing organization-wide architecture and engineering practices.

Lead design, build, and operate backend agentic systems that analyze large-scale time-series telemetry. Own product from customer discovery through shipping. Implement APIs, distributed job execution on Kubernetes, sandboxed code execution, context/memory management, evaluation suites, and observability while integrating frontier models and scaling agent workloads.

Lead full-stack workflow orchestration engineering using Camunda, Java or Python, and React. Design BPMN/DMN processes, enterprise integrations, IAM controls, resilient long-running workflows, and scalable backend services. Establish CI/CD, observability, security, testing, and operational practices while partnering with product, operations, and control teams. Drive responsible AI-assisted engineering adoption and mentor teams on secure, reliable development practices.

Develop and maintain scalable SaaS solutions for financial reporting and capital markets customers. Responsibilities include full-stack development, system design, testing, monitoring, performance optimization, security, technical debt reduction, and collaboration with product managers, developers, and SRE teams. The role requires building reliable, secure, maintainable data-driven applications and contributing across the software development lifecycle.

Build and operate backend services for stablecoin payments, including deposits, withdrawals, on/off ramps, wallets, and virtual accounts. Integrate crypto partners with existing banking, ledger, and payment systems while developing KYB and compliance workflows. Own projects from design through production, ensure reliable money movement, influence technical direction, collaborate cross-functionally, and mentor engineers.

Develop Python-based tools for simulation-data analysis, log processing, automated testing, scenario generation, and autonomy performance evaluation. Support test orchestration, distributed simulation, containerized environments, CI/CD, infrastructure configuration, debugging, and developer documentation. Collaborate with software, autonomy, systems, and platform engineers while contributing to reliable and repeatable Hivemind Platform testing workflows.

Architect, develop, and optimize Intel’s oneCCL collective communications library for scalable AI and HPC workloads. Responsibilities include designing communication algorithms, improving distributed-system performance and resilience, troubleshooting system-level issues, optimizing multi-node and accelerator workloads, and collaborating with hardware architects, researchers, engineers, open-source contributors, and customers. The role requires expertise in C/C++, Linux, distributed systems, networking, operating systems, concurrency, and performance optimization.

Develop and lead full-stack lifecycle development for Pure1, building customer-facing and internal web applications with Java, Python, Angular, and TypeScript. Lead AI-assisted software development, architecture, requirements gathering, project execution, testing, code reviews, documentation, CI, and CD. Coordinate engineers and stakeholders across multiple concurrent projects while advancing AI-driven development practices and maintaining reliable, secure services.

Support customers deploying and operating Slinky, troubleshoot complex Kubernetes, Slurm, Linux, reliability, and performance issues, and develop maintainable software, integrations, automation, tests, and diagnostic tooling. The role partners with engineering, infrastructure, operations, and deployment teams while supporting production environments and improving Slinky reliability. Core expertise includes Kubernetes architecture and operations, Linux systems administration, networking, containers, GPU technologies, and software development in Go, C, or similar languages.

Build and operate backend-heavy services and AI agents across model pipelines, infrastructure, backend systems, and user-facing features. Own a functional area end to end, potentially leading two to three engineers. Develop guardrails, monitoring, evaluations, data integrations, fault-tolerant workflows, and auditable writes to external systems. Collaborate with end users to automate manual processes and contribute to full-stack development when needed.

Design, develop, and modernize RIVO’s proprietary loan management platform. The role focuses on scalable application architecture, full-stack software development, microservices and event-driven systems, production reliability, observability, CI/CD, testing, and technical debt reduction. The engineer will collaborate with Product, QA, DevOps, and Engineering teams, contribute to technical strategy, establish engineering standards, troubleshoot complex issues, and mentor other engineers.

Design, build, test, deploy, and support secure distributed infrastructure for Azure AI Search and enterprise AI applications. Develop networking, identity, encryption, privacy, observability, billing, and reliability capabilities. Collaborate across teams, manage dependencies and release plans, participate in on-call incident response, improve service diagnostics and automation, and mentor peers through design and code reviews.

Owns architecture and technical direction for secure, enterprise-scale software, data, and agentic AI platforms. Responsibilities include designing distributed services, AI harnesses, data foundations, reliability and telemetry systems, security controls, and operational analytics. The role leads architecture reviews, cross-team planning, compliance, production operations, and reusable engineering standards while mentoring senior engineers and influencing technical roadmaps.

Build developer documentation tooling, CI/CD automation, GitHub Actions, documentation testing pipelines, content validation tools, and release workflows. Apply LLMs to documentation maintenance and site health tasks. Collaborate with documentation and engineering teams, document deliverables, participate in code reviews, and present work at an intern showcase.

Build and launch full-stack features for a live production application, owning product lines from scoping through rollout. Engage directly with customers through site visits, training, and feedback collection. Solve infrastructure challenges involving offline functionality, low-latency data pipelines, and configurable software. Establish systems and processes in a high-ownership environment while working closely with technical leadership.

Lead backend and infrastructure development for a high-traffic consumer web platform. Build feature infrastructure, recommendation and model-serving pipelines, and reliable production systems. Own monitoring, logging, incident response, API performance, data access, caching, asynchronous processing, live connections, abuse prevention, architecture, capacity planning, deployment, observability, and recovery decisions on a small, high-ownership team.

Develop C++ software interfaces connecting autonomy software with sensors, flight controllers, payloads, radios, and vehicle systems. Configure Linux mission computers, implement communication protocols, develop Python testing tools, and debug distributed-system data flow. Support software, hardware, vehicle, laboratory, and field integration testing while collaborating with autonomy, systems, test, and flight teams.

Hands-on senior engineer responsible for designing, building, and operating a multi-threaded, Linux-based, real-time Java platform for Equity Swaps. Drive architecture, mentor engineers, own core components (including cashflow calculator), operate and tune sharded MongoDB, improve CI/CD and test automation, lead L3 support, and use AI tooling to accelerate the SDLC.