Top Software Engineer Jobs

Build frontend and backend features, data integrations, and AI workflows for legal casework. Collaborate directly with lawyers and legal engineers to understand needs, ship dependable software, troubleshoot usage, and improve products through feedback. Responsibilities include handling sensitive case information, testing software, investigating AI-generated output, and developing reusable solutions across legal teams.

Develop and maintain full-stack software for a federal health insurance oversight system. Build Java and Spring backend services, APIs, database integrations, and React or Angular interfaces. Troubleshoot production issues, resolve defects, optimize PostgreSQL queries, support legacy applications, and contribute to modernization. Participate in Agile development, code reviews, automated testing, releases, deployments, documentation, and production support within AWS, Jenkins, and GitHub environments.

Develop, test, debug, document, and maintain scalable full-stack software solutions supporting intelligence and mission-critical customer requirements. Collaborate with multidisciplinary and DevOps teams, design APIs, work with databases, multimedia streaming and video-processing workflows, monitor production systems, research technologies, and contribute to technical decisions in an agile environment.

Build and deploy full-stack applications in secure environments for military decision-support missions. Develop fast, auditable backend microservices and message-driven workflows using Go, Java, or Python, alongside React and TypeScript interfaces with comparative and geospatial visualizations. Collaborate with architects, designers, product managers, and subject-matter experts; tune performance, implement automated testing, document work, and support secure delivery pipelines.

Work directly with small engineering teams across two or three portfolio software companies to accelerate development using AI coding tools. Responsibilities include shipping features, resolving production incidents, reviewing technical designs, automating manual processes, and supporting hiring. The role requires independent judgment, initiative, adaptability across multiple technology stacks, strong collaboration, and the ability to teach teams effective AI-assisted development practices.

Responsible for software engineering work; the description provides no further details about specific duties, technologies, qualifications, or work environment.

Develop custom customer integrations and provide Bubble.io guidance. Build and maintain Salesforce, HubSpot, and other CRM integrations; manipulate data with Python and Pandas; design AWS Lambda microservices; support client onboarding and collaborate with the development team to improve the platform.

Paid, on-site summer software development internship for an enrolled undergraduate student. Responsibilities include clarifying requirements, coding Java software, validating applications, maintaining development documentation, communicating with IT staff, and following departmental processes. Candidates must study Computer Science, MIS, or a technically focused Mathematics program and have Java exposure; SQL and object-oriented programming experience are beneficial. The internship may lead to a permanent full-time position.

Develops software applications, AI tools, integrations, reports, and automation systems for electronics manufacturing. Responsibilities include writing and testing code, building APIs and interfaces, automating transactions and business processes, developing AI agents, integrating equipment and information systems, documenting solutions, supporting applications, and collaborating across technical and manufacturing teams. The role also evaluates tools, translates business processes into technical requirements, and contributes to multiple software projects.

Leads architecture, development, testing, debugging, profiling, and optimization of SDK power-management software for low-power ARM Cortex-M MCUs. Responsibilities include clock and memory management, low-power modes, RTOS ports, power modeling, system-level optimization, technical reviews, cross-functional issue resolution, and mentoring. The role requires hands-on embedded firmware development and technical leadership across hardware, software, validation, and vendor teams.

Integrate, deploy, and validate autonomy software across simulations, hardware-in-the-loop environments, and flight platforms. Configure sensors, interfaces, middleware, and platform adapters; develop integration tooling, deployment scripts, and CI/CD workflows; diagnose defects using logs, telemetry, and rosbag data; validate system requirements and interface contracts; and collaborate with engineering, product, DevOps, and customers to ensure reliable autonomous systems.

Leads software engineering within an agile infrastructure platform team, designing, developing, testing, debugging, and operating secure, scalable applications. Drives adoption of approved AI-assisted development tools, establishes validation and responsible-use standards, automates recurring remediation, and promotes operational stability. Evaluates vendor and internal architectural solutions while contributing across the software development lifecycle. Requires advanced programming experience, cloud-native expertise, security and resiliency knowledge, agile practices, and familiarity with financial services IT systems.

Leads the design, development, deployment, and support of secure, scalable Java and Spring Boot microservices and REST APIs. Provides technical leadership across the software development lifecycle, cloud-native AWS deployments, PostgreSQL data architecture, CI/CD, observability, resiliency, and production support. Establishes engineering standards for secure AI-assisted development, reviews code, mentors engineers, evaluates architecture, drives automation and modernization, and improves system reliability in a regulated environment.

Leads the design, development, and rollout of integrations and data pipelines for BrazeAI Decisioning Studio. Builds fault-tolerant, event-driven ingestion and activation systems across warehouses, APIs, file drops, and streaming sources. Owns production reliability, observability, incident resolution, multi-region compliance, and data residency. Partners with data science and product teams, mentors engineers, and establishes technical direction and engineering standards.

Lead the design, development, and rollout of large-scale integrations for BrazeAI Decisioning Studio. Build resilient data ingestion and event-driven activation pipelines across enterprise systems, supporting arbitrary schemas, multi-region deployment, compliance, and high-volume customer data. Own production systems, observability, incident response, and reliability. Partner with data scientists, ML engineers, and product managers, while mentoring engineers and setting technical direction.

Lead the design, development, rollout, and operation of Decisioning Studio integrations and distributed data pipelines. Build fault-tolerant ingestion and activation systems supporting batch, files, APIs, streaming, arbitrary schemas, multi-region deployment, compliance, and high-volume enterprise data. Own production reliability, observability, incident response, architecture decisions, and technical direction while collaborating with data science and product teams and mentoring engineers.

Lead the design, development, and operation of Decisioning Studio integrations and distributed data and activation pipelines. Build fault-tolerant, event-driven systems handling large-scale ingestion, arbitrary schemas, multi-region deployment, data residency, and PII. Own production reliability, observability, incident resolution, and technical direction while collaborating with data science, ML, and product teams. Mentor engineers and improve engineering quality, testing, and architecture.

Designs, develops, tests, deploys, and maintains scalable Java backend applications, APIs, and services. Responsibilities include software design, automated testing, secure coding, CI/CD automation, troubleshooting, performance optimization, observability, and operational readiness. The role participates in agile delivery, reviews code and designs, mentors engineers, collaborates with product stakeholders, and improves engineering processes and application reliability.

Design, build, deploy, and maintain software for commodity trade capture, lifecycle management, position management, pricing, risk, and reporting. Translate client and business requirements into reliable features, lead technical design, review code, maintain containerized services and deployment pipelines, improve observability and performance, troubleshoot production incidents, mentor engineers, and document solutions. The role requires strong Python development and energy commodities technology experience, with opportunities to work across multiple languages, cloud platforms, and event-driven systems.

Build and maintain internal software tools for an investment research team. Responsibilities include developing full-stack web applications, database systems, and automation scripts; owning feature design and architecture; maintaining existing systems; creating research workflow tools; and partnering with the team lead on priorities and technical direction.

Leads software engineering within an agile team, providing technical guidance and developing, reviewing, debugging, and operationalizing secure production code. Drives adoption and governance of AI-assisted engineering practices, validates AI outputs for security and performance, improves SDLC automation, influences product and application design, and serves as a firm-wide technical subject matter expert. Requires cloud-native experience, advanced programming skills, system design expertise, and independent problem-solving ability.

Build and own responsive, accessible frontend interfaces for a fintech SaaS platform using React and TypeScript. Design component systems and intuitive workflows for complex financial data, dashboards, onboarding, and reporting. Collaborate with product, backend, and operations teams, while optimizing performance, cross-browser consistency, state management, and user experience. The role also involves AI-assisted development using Claude Code and translating product requirements into polished production experiences.

Develop and support Java/Spring Boot microservices for a high-volume, event-driven notification platform. Responsibilities include designing features, writing automated tests, contributing to Kafka-based modernization, improving resiliency and performance, supporting cloud-native deployments, monitoring production systems, responding to incidents, and troubleshooting application and infrastructure issues. The role collaborates with product, architecture, QA, TPM, and engineering teams while participating in Agile delivery and mentoring junior engineers.

Design, develop, test, deploy, and support secure, scalable software applications and services for Mastercard’s payment network. Translate requirements into maintainable solutions, contribute to architecture and code reviews, build automated tests, troubleshoot issues, optimize performance, and support production readiness. Collaborate with Product and Engineering stakeholders in Agile environments while using CI/CD, automation, observability, and modern software delivery practices.

Develop full-stack software for an AI-enabled workforce onboarding and case-support platform. Responsibilities include building backend services, APIs, and frontend components; translating requirements into tested code; participating in code reviews and Scrum activities; troubleshooting defects and performance issues; and collaborating with product, design, and domain teams. Engineers may continue supporting the platform or transition to future MVP development initiatives.