Top Software Engineer Jobs

Forward-Deployed Software Engineers integrate Recidiviz’s data platform into state government environments. They scope technical solutions, work with agency stakeholders, untangle legacy systems and messy data, write code and scripts, contribute platform improvements, and build customer partnerships. The role requires strong software engineering, SQL, Python or JavaScript/TypeScript skills, customer communication, comfort with ambiguity, and occasional travel to state partners.

Designs, develops, tests, operates, and maintains full-stack .NET software applications, APIs, and enterprise services. Responsibilities include writing production-ready code, creating scalable and reliable architectures, conducting code reviews, troubleshooting failures, improving operations, supporting production applications, and applying security, compliance, DevOps, and software reliability practices. The role requires collaboration with product, engineering, vendors, and business stakeholders.

Build and operate Go backend services for a CFTC-regulated prediction markets platform. Responsibilities include migrating Python and Airflow workflows, integrating sports and market data providers, implementing reliable settlement logic, managing corrections and edge cases, building React and TypeScript operator tools, contributing to technical design and reviews, owning features through production, and participating in on-call support.

Develop and deploy software applications, workflow automations, dashboards, scripts, integrations, and collaboration tools supporting Missile Defense Agency modeling and simulation. Use Microsoft Power Platform, SharePoint, AI-assisted development tools, and data visualization technologies to modernize engineering workflows. Translate stakeholder requirements into secure, maintainable solutions; participate in Agile development, documentation, demonstrations, and technical reviews. The role requires collaboration with engineers, analysts, product owners, and government mission stakeholders.

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.

Lead architecture and technical direction for a high-volume log analytics platform spanning ingestion, storage, querying, reliability, and AI-driven capabilities. Shape the roadmap with engineering, product, leadership, and customers; build prototypes; guide migrations and schema changes; set reliability and cost standards; influence teams without direct ownership; mentor senior engineers and technical leads; and promote strong practices in quality, on-call operations, and incident learning.

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.

Design and maintain scalable Java services, distributed applications, real-time streaming pipelines, GraphQL APIs, and PostgreSQL-based operational data stores. Integrate systems with Databricks and Microsoft Azure, implement CI/CD, troubleshoot complex cloud and data-platform issues, and contribute to architecture, engineering standards, documentation, and mentoring. The role emphasizes event-driven design, resiliency, observability, secure development, and effective use of generative AI tools.

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.

Develop, test, debug, document, deploy, and maintain secure enterprise software solutions on the Salesforce platform. Apply object-oriented programming, DevOps, DevSecOps, CI/CD, and secure engineering practices. Collaborate with business and technology teams, support production applications, manage priorities and deliverables, and contribute to continuous improvement. The role is hybrid in Columbus, Ohio, with potential on-call responsibilities.

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.

Build, support, and optimize enterprise Workday Extend applications and integrations. Develop data models, pages, business process integrations, security configurations, and reusable components using Studio, Orchestrate, Core Connectors, EIBs, APIs, and Workday Web Services. Collaborate with product, security, engineering, and business teams in an Agile environment; troubleshoot production issues, improve automation and CI/CD practices, participate in architecture and code reviews, and mentor junior engineers.