Top Software Engineer Jobs

Leads software development and validation for Linux- and Android-based automotive infotainment and connectivity platforms. Responsibilities include maintaining embedded software across ECU hardware generations, building pipelines, developing regression and stress tests, optimizing CPU/GPU/NPU and multimedia performance, supporting board bring-up and debugging, and coordinating with architecture, hardware, and software teams. The role also mentors junior engineers and provides program leadership with status, risk, and decision documentation.

Develops, tests, debugs, integrates, secures, documents, and deploys software applications and enhancements. Responsibilities include desktop design, security lockdown implementation, automated patching and deployment, integration with standard software packages, user documentation, training, resolving software issues, and addressing customer feedback. The role requires substantial professional experience with AWS, C#, or .NET and an active Top Secret/SCI eligibility clearance.

Designs and develops cloud-based and on-premises data and integration solutions for payer operations. Responsibilities include architecting integrations across SaaS, Epic EMR, and enterprise data platforms; coding, testing, debugging, and performance optimization; troubleshooting data issues; collaborating with product and business stakeholders; incorporating AI/ML; and maintaining architecture documentation, governance, and best practices.

Leads architecture, full-stack development, scalable application design, dashboards, backend integrations, AI-enabled features, cloud infrastructure, DevOps, monitoring, and production support. Mentors engineering teams, establishes technical standards, guides strategy, and develops solutions for payer operations, metadata, contracts, and performance measurement.

Leads full-stack software engineering for complex initiatives, including architecture, design, development, testing, deployment, migration planning, and technology modernization. Provides technical direction, mentors engineers, drives engineering standards, analyzes technology environments, and partners with Product, Design, and Platform teams to deliver high-quality systems aligned with business strategy.

Installs, configures, customizes, tests, and supports logistics software for warehouse automation customers. Develops SQL reports and database queries, adapts interfaces, provides remote and startup support, trains customers, documents projects, and collaborates with international teams, sales, and project management. The role requires substantial domestic and international customer-site travel, software development knowledge, Linux and Windows experience, networking understanding, and familiarity with logistics workflows.

Design, develop, deploy, and operate scalable cloud services and APIs for Microsoft Agent 365’s agent registry and governance platform. Build capabilities for agent registration, inventory, lifecycle management, policy enforcement, auditability, metadata, and administration. Improve production reliability, performance, security, and observability while supporting integrations. Collaborate across product and engineering teams, contribute to architecture and design reviews, and mentor engineers.

Design, build, test, and operate production-grade, secure, and scalable software and services. Partner with customers to translate requirements into technical designs, drive engineering best practices (CI/CD, testing, observability), deliver end-to-end solutions, lead technical workstreams, and apply AI/LLM approaches where appropriate to produce production-ready outcomes.

Build and maintain scalable, cloud-native APIs and core marketplace systems. Lead software architecture and testing discussions, collaborate across teams, and improve application reliability, performance, telemetry, and operational health. The role uses .NET Core and related technology stacks, front-end JavaScript frameworks, Kubernetes, AWS, PostgreSQL, OpenTelemetry, and AI development tools.

Build, deploy, and operate subscription applications and services across the full stack, with emphasis on AWS infrastructure, CI/CD, Infrastructure as Code, observability, and production reliability. Develop Java and Node.js services, contribute to React applications, administer engineering platforms, participate in on-call support, improve automation and developer workflows, mentor engineers, and apply AI-assisted tools throughout development and operations.

Build complex full-stack software systems for Fidelity’s financial technology incubator and next-generation trading platform. Develop products supporting equities, options, and cryptocurrencies; apply diverse programming languages, databases, cloud technologies, and Agile methodologies. Provide technical leadership, mentor junior engineers, communicate risks, collaborate across disciplines, and rapidly transform concepts into scalable products.

Install, configure, customize, test, and support logistics software at customer sites and remotely. Develop SQL queries, reports, interfaces, and software adaptations; collaborate with international teams, customers, sales, and project management. Provide startup training and support, document projects, and assist with software engineering for warehouse automation workflows.

Own the end-to-end design, implementation, and optimization of content discovery and search systems for Ventura TV OS cloud services. Build scalable, low-latency search, indexing, personalization, recommendation, and content-processing systems. Partner with application teams to improve relevance, performance, and user experience. Apply expertise in distributed data processing, ML inference and retraining frameworks, search quality evaluation, and large-scale data-intensive architectures.

Design, build, and ship full-stack features across .NET backend services, APIs, databases, and modern web front ends. Use AI coding agents to plan, implement, test, refactor, and review production software. Own architecture, security, quality, observability, CI/CD, and delivery outcomes. Collaborate with Product and Design, mentor engineers, and improve agentic engineering practices across a distributed team.

Leads the design, development, modernization, and support of secure enterprise applications and integrations using .NET, SQL, Azure, batch processing, and EDI. Improves reliability, performance, automation, deployment practices, and engineering productivity while troubleshooting complex systems, remediating vulnerabilities, supporting compliance, and mentoring engineers. The role collaborates with product, architecture, operations, security, and development teams to deliver scalable technology solutions and improve provider experience.

Designs, implements, supports, and improves enterprise integrations, middleware, APIs, automation, data exchanges, reporting platforms, and system connectivity. Troubleshoots complex production issues, develops documentation, improves monitoring and operational reliability, and partners with business, technical, security, analytics, and vendor teams. The role also supports UKG Ready integrations, AI and automation initiatives, governance, technical standards, modernization efforts, and mentorship.

Build and operate MoonPay’s developer platform, including APIs, SDKs, embedded components, reference applications, and integration tooling. Design secure browser and mobile experiences, simplify payment and crypto workflows, and ensure reliable distributed transaction processing. Own developer interfaces, documentation, versioning, observability, and migration strategies while supporting authentication, identity, KYC, payment methods, and purchasing capabilities across web, iOS, and Android.

Design and build MoonPay’s unified identity and KYC platform across products, partners, and regulated jurisdictions. Responsibilities include defining architecture and technical strategy, modeling identity lifecycles, building secure APIs and SDKs, integrating verification providers, protecting sensitive data, and establishing consent, authorization, auditability, observability, versioning, and failure-handling practices. The role requires hands-on engineering, cross-functional influence, and leadership through ambiguity.

Integrate and maintain Linux-based systems while supporting system administration, monitoring, automation, metrics, and dashboard infrastructure. Develop with Python, C, and Bash; manage Nagios and Thruk monitoring, Splunk feeds, Salt and Ansible automation, Prometheus metrics, Grafana dashboards, and related engineering tools. The role requires collaboration with system environments and may initially involve substantial system administration responsibilities.

Integrates and supports software systems in a Linux environment, combining software development with system administration. Responsibilities include developing in Python, C, and Bash; monitoring with Thruk, Nagios, Splunk, Prometheus, and Grafana; automating with Salt and Ansible; managing GitBucket repositories; and working with Jira, Confluence, and Slurm. The role requires an active TS/SCI clearance with polygraph and may initially involve substantial system administration work.

The Software Integration Engineer will integrate and support Linux-based high-performance computing and large-data systems. Responsibilities include system administration, automation with Salt and Ansible, scripting in Python, C, and Bash, monitoring with Nagios, Thruk, Prometheus, and Grafana, Splunk dashboard integration, source control, and collaboration using Jira, Confluence, and Slurm. The role requires an active TS/SCI clearance with polygraph and significant systems engineering experience.

Integrate and support software systems in a Linux environment, with up to 50% of initial work focused on system administration. Develop with Python, C, and Bash; manage monitoring through Thruk, Nagios, Splunk, Prometheus, and Grafana; automate using Salt and Ansible; and use GitBucket, Jira, Confluence, and Slurm. An active TS/SCI clearance with polygraph is required.

Build and operate scalable document intelligence services for Elsevier’s scientific publishing platform. Develop cloud-hosted distributed systems using Java, Python, AWS, Kafka, microservices, data-processing workflows, and AI capabilities. Responsibilities include architecture, implementation, deployment, observability, operational support, continuous improvement, stakeholder collaboration, Agile delivery, mentoring, and transforming unstructured manuscripts into structured data through metadata extraction, enrichment, and entity recognition.

Develop and deploy scalable document intelligence services that transform scientific manuscripts into structured data using distributed systems, microservices, event-driven architecture, AWS, data science, and AI/LLM capabilities. Responsibilities include architecture, implementation, deployment, observability, operational support, continuous improvement, stakeholder collaboration, Agile and DevOps practices, mentoring, and improving automated content processing and editorial experiences.

Lead development of Kubernetes-native platform services using Go and AWS. Build controllers, admission webhooks, secure provisioning systems, Terraform providers, APIs, and multi-cluster deployment automation. Design highly available cloud infrastructure, enforce security and tenant isolation, improve CI/CD and testing, and guide responsible AI-assisted engineering practices. Collaborate across teams to deliver scalable, compliant internal developer platforms.