Top Software Engineer Jobs

Develop scalable backend software for NinjaOne’s Mobile Device Management platform, supporting millions of endpoints across iOS, Android, Chrome OS, and Windows. Build Kotlin and Java services, REST APIs, microservices, responsive messaging systems, and cloud deployments on AWS. Apply software design principles, database expertise, caching, asynchronous architecture, and AI-powered development tools while collaborating with engineering teams and industry partners.

Own and scale infrastructure for concurrent, stateful AI workloads. Responsibilities include dispatch-layer reliability, queueing, concurrency control, failure handling, realistic system testing, evaluation development, platform integrations, and support for external orchestration frameworks. The role requires production backend and distributed infrastructure experience, cluster management expertise, and experience supporting large language model workloads.

Own the application layer of a software platform across backend services, interfaces, tooling, monitoring, access controls, and dashboards. Build scalable APIs and developer tools, make architecture and product decisions, incorporate early-user feedback, and deliver features from concept through release. Support infrastructure growth as usage increases while exercising strong product judgment and end-to-end ownership.

Build and ship AI-powered automation features, third-party integrations, full-stack web applications, and cloud infrastructure. Design background job processing systems, improve reliability and observability, address security risks, contribute product ideas, and mentor junior engineers. The role requires strong TypeScript skills, experience scaling AWS systems with infrastructure as code, and proficiency with React, Node.js, and Postgres.

The Senior Software Engineer will design, develop, and maintain data systems and APIs, utilizing big data technologies to support analytics and advertising workflows, while collaborating with cross-functional teams.

Leads architecture and development of Azure Storage table, metadata, and indexing systems at massive cloud scale. Designs distributed-system primitives for partitioning, indexing, transactions, consistency, replication, caching, and high-performance data access. Drives architectural decisions, prototypes innovations through production, and improves performance, scalability, reliability, and cost efficiency. Requires deep expertise in distributed storage, databases, or large-scale systems.

Develops, integrates, tests, deploys, maintains, and troubleshoots enterprise software across Microsoft platforms. Builds web, desktop, cloud, Microsoft 365, API, and AI-enabled solutions, including generative AI and LLM applications. Gathers requirements from legal and business stakeholders, leads technical project work, supports vendors, improves development standards and roadmaps, and ensures secure, scalable application delivery.

Develops, integrates, tests, deploys, maintains, and troubleshoots enterprise software across Microsoft platforms. The role translates legal and business requirements into secure web, desktop, cloud, API, and Microsoft 365 solutions. Responsibilities include stakeholder and vendor collaboration, technical leadership, application lifecycle planning, and implementation of AI-enabled and generative AI capabilities using LLMs and related technologies. The developer also contributes to standards, architecture, automation, security, modernization, and production support.

Develops, integrates, tests, deploys, maintains, and troubleshoots enterprise software across Microsoft platforms. Translates stakeholder requirements into secure web, desktop, cloud, API, and Microsoft 365 solutions. Builds AI-enabled and generative AI applications using LLMs, supports enterprise integrations, evaluates development standards and technologies, and provides technical leadership across projects. The role also collaborates with vendors, documents systems, supports lifecycle roadmaps, and advises legal and administrative stakeholders.

The role involves developing enterprise software, building data pipelines, and creating flexible marketing solutions using AI capabilities. You'll work on a mission-critical platform to improve understanding of customer data and engage audiences through collaboration and innovation.

Develops, integrates, tests, deploys, maintains, and troubleshoots enterprise software across Microsoft platforms, web, desktop, cloud, and business systems. Translates stakeholder requirements into secure, scalable solutions; builds APIs and Microsoft 365 integrations; supports vendors and production systems; contributes to architecture, standards, roadmaps, and technical leadership. Develops AI-enabled and generative AI applications using LLMs and related technologies to automate workflows and enhance user experiences.

Lead technical strategy and architecture for a large-scale Content Platform that powers marketing campaigns. Solve ambiguous cross-team problems, design scalable backend and AI-driven systems, mentor senior engineers, and partner with product, design, and marketing to drive execution and engineering standards across the org.

Lead a small engineering pod using AI-native tools such as Claude Code, Codex, and Cursor to translate product requirements into technical specifications, generate and validate production code, and rapidly improve existing products. The role owns end-to-end delivery, develops repeatable AI engineering workflows, mentors engineers, manages technical debt, and establishes practices for agentic development, automated QA, and maintainable systems.

The Lead Rust Software Engineer will design and build scalable applications, mentor teams on Rust, and contribute to complex product development.

Develop and maintain enterprise mainframe COBOL applications supporting order processing, warehouse, billing, sales, and credit systems. Responsibilities include requirements gathering, solution design, coding, testing, quality assurance, deployment, integration with MQ and APIs, workflow evaluation, project coordination, and production support. The role provides technical leadership, enforces development standards, collaborates with users and product owners, and mentors other engineers. It is hybrid, requiring four days per week at the LaVergne, Tennessee headquarters.

Develop scalable, fault-tolerant ArcGIS Enterprise features using Java, distributed systems, microservices, and cloud technologies. Responsibilities include building server-side components and web services, designing complete software products, troubleshooting performance and defects, and collaborating with cross-functional teams to meet customer requirements. The role requires experience with Java middleware, cloud platforms, databases, web services, debugging tools, source control, and large codebases.

Build scalable full-stack web applications, APIs, and services supporting relationship, deal, and workflow management. Design systems using React, TypeScript, Next.js, and Node.js; contribute to architecture, cloud infrastructure, CI/CD, and developer tooling; and partner with product and design teams. The role includes modernizing legacy applications, developing AI-powered features, translating operational needs into technical solutions, and mentoring early-career engineers.

Lead development, testing, and maintenance of scalable accounting integrations using JavaScript, TypeScript, Node.js, and AWS serverless technologies. Design REST APIs, webhooks, OAuth flows, and event-driven systems that synchronize data with external accounting platforms. Diagnose complex issues, improve reliability and performance, document systems, and mentor junior engineers. Use AI-assisted development tools responsibly while managing multiple priorities and supporting high-volume integrations.

Build scalable full-stack web applications, APIs, and foundational internal platforms for entertainment-industry workflows. Responsibilities include frontend and backend development with React, TypeScript, Next.js, and Node.js; architectural contributions; cloud infrastructure and CI/CD improvements; legacy application modernization; AI-powered feature development; and collaboration with product and design teams. The role also mentors junior engineers and helps establish engineering practices in a growing organization.

Own and improve Attentive's first-party data collection across the JS tag, Cloudflare Workers, and Java backend. Expand edge compute capabilities, build agentic AI systems to detect and fix data-quality issues, harden the event ingestion pipeline for reliability and observability, and lead technical direction on a small autonomous team while mentoring engineers.

Develop and support backend services and internal applications using C#, ASP.NET Core, GraphQL, and REST. Investigate production issues, build third-party integrations, write automated tests, participate in code reviews and CI/CD, and independently deliver projects in a Kanban environment. The role includes evaluating AI-generated code, mentoring teammates, collaborating with product managers, and participating in an off-hours on-call rotation.

Designs and operates Java backend services, REST APIs, BigQuery datasets, and real-time data pipelines supporting credit and asset externalization. Responsibilities include data modeling, performance and cost optimization, Dataproc processing, observability, data quality, access controls, compliance, and production operations. The role provides technical leadership, guides junior engineers, and collaborates with product, finance, risk, compliance, and engineering teams.

Develop and ship high-quality iOS app features using Swift, UIKit, and SwiftUI. Collaborate with product managers, designers, and engineers; test and review code; diagnose bugs; improve scalable architecture; and document technical designs. The role also involves experimenting with new ideas, supporting product metrics, and contributing to a rapidly evolving engineering environment.

Leads software engineering for data platform and entitlement solutions within an agile financial services technology team. Designs, develops, troubleshoots, and maintains secure, scalable Java and Spring applications using microservices, Kafka, cloud platforms, and CI/CD. Creates architecture artifacts, develops relational data models, improves system architecture, and promotes responsible AI-assisted engineering practices. Preferred experience includes modern data platforms, Spark, IAM, authorization models, and enterprise AI integration.

Develop and maintain containerized microservices for space domain awareness and flight safety systems in an AWS-based architecture. Responsibilities include software design, development, testing, performance analysis, CI/CD delivery, systems engineering support, observation scoring, truth-data generation, data fusion, and RSO database workflows. The role requires collaboration in an agile environment and support for system modernization and operations and maintenance.