Top Software Engineer Jobs

The Software Engineer 2 develops and maintains complex software systems, analyses user requirements, designs new features, debugs software, and oversees software development teams to ensure adherence to performance and functional standards.

Entry-level Software Engineer responsible for designing, building, testing, debugging, and maintaining internal full-stack applications, including front-end interfaces, back-end services, APIs, and databases. The role involves troubleshooting defects, documenting technical processes, participating in code reviews, collaborating with engineers and stakeholders, and implementing new features using Microsoft .NET, C#, web technologies, and relational or cloud data storage.

Leads software development projects across the full SDLC, including requirements gathering, design, coding, testing, integration, configuration management, and implementation. Coordinates development teams, mentors engineers, manages consultants, resolves issues, documents requirements, and supports project and resource planning. Develops enterprise applications and integrations using C#/.NET, web technologies, databases, APIs, and modern development frameworks while ensuring solutions meet business needs.

Designs, develops, and maintains .NET backend services and ASP.NET Core APIs supporting edge gateways and IoT devices. Builds applications communicating with firmware over TCP, WiFi, and offline-tolerant architectures. Responsibilities include writing tested code, conducting reviews, troubleshooting distributed systems, documenting APIs, collaborating cross-functionally, participating in Agile delivery, improving CI/CD and DevSecOps practices, and evaluating modern .NET tools and patterns.

Designs, develops, tests, and maintains scalable web applications and enterprise software for Baseball Operations. Responsibilities include .NET development, responsive front-end interfaces, RESTful API integration, SQL Server optimization, automated testing, troubleshooting, code reviews, technical mentoring, documentation, and architecture improvements. The role supports critical business operations, including non-traditional schedules, events, Spring Training, conferences, and game operations travel.

Build and own production software systems spanning embedded systems, real-time control, cloud services, and data pipelines. Responsibilities include architecture, coding, testing, reliability engineering, observability, incident response, technical design reviews, cross-functional hardware collaboration, hiring, and mentoring. The role requires strong systems fundamentals, distributed systems experience, debugging ability, and proficiency in at least one major programming language.

Manage and develop an engineering team while owning delivery, hiring, performance, technical judgment, and escalation response. Stay hands-on with coding and architecture, use coding agents effectively, improve engineering processes, and help engineers build stronger skills in scoping, estimation, decision-making, and ownership. Balance roadmap priorities with customer commitments and turn recurring issues into lasting product improvements across HumanSignal’s AI data and annotation platforms.

Build and productionize AI-generated prototypes into secure, reliable enterprise backend or full-stack services. Assess prototypes, rebuild solutions, integrate enterprise standards such as SSO, audit logging, secrets management, CI/CD, infrastructure as code, and security reviews. Collaborate with Finance, HR, Legal, and Compliance partners, develop AI-native workflows, create operational documentation and dashboards, and establish reusable platform capabilities.

Build and maintain full-stack software applications using TypeScript, JavaScript, React, Nest.js, Prisma, and PostgreSQL. Design multi-part solutions, develop unit and end-to-end tests, collaborate with product, QA, and support teams, participate in code reviews, and apply emerging technologies and AI-centric development workflows.

Develop and maintain web and AI-based enterprise applications through design, coding, testing, debugging, documentation, and code reviews. Integrate AI-assisted and agentic development tools into engineering workflows, manage context and harness engineering, and mentor teammates on responsible AI use. Collaborate across teams, lead projects and design efforts, improve processes and technology choices, and build secure, scalable services using modern backend stacks, REST APIs, databases, cloud infrastructure, and CI practices.