Top Software Engineer Jobs

Build and deploy custom software solutions for customers using large-scale data and AI. Responsibilities include collaborating on architecture, developing applications, engaging technical and executive stakeholders, and leading projects from ideation through deployment. The role requires strong programming skills, analytical problem-solving, independent decision-making, and up to 25% travel to client sites.

Leads software engineering for tax technology solutions, overseeing architecture, coding, testing, deployment, project delivery, and AI-enabled innovation. Advises stakeholders, translates tax needs into scalable applications and microservices, evaluates technical tradeoffs, manages risks, and coaches engineering teams. Requires client collaboration, clear communication, systems thinking, and the ability to guide teams through complex and ambiguous situations.

Develop software solutions supporting tax service delivery and digital transformation. Responsibilities include coding, testing, debugging, application design, deployment, data analysis, defect resolution, requirements translation, code reviews, documentation, and collaboration with tax technology teams.

Build customer-specific software solutions using large-scale data and AI. Responsibilities include collaborating on architecture and design, developing custom applications, engaging with technical and executive stakeholders, and driving high-impact projects from ideation through deployment. The role involves working directly with customers, solving complex technical problems, and traveling to client sites as needed.

Forward Deployed Software Engineers design and build data- and AI-powered applications for customer organizations. They collaborate with engineers and stakeholders, analyze large-scale data, make architecture decisions, engage directly with technical and executive users, and lead projects from ideation through deployment. The role requires strong coding, analytical problem-solving, teamwork, adaptability, and willingness to travel up to 25% to client sites.

A 12-week unpaid fellowship providing hands-on training in Palantir Foundry and AIP. Participants attend live virtual instruction, complete technical projects, engage with Palantir engineers and leadership, and earn a professional certification. The program seeks builders with technical experience in software, data, automation, process improvement, prototyping, or related fields. Exceptional performers may interview for roles at Palantir or partner companies.

Develop, test, maintain, and support secure, scalable software applications and services. Translate requirements into maintainable components, contribute to APIs, microservices, distributed and event-driven systems, and maintain automated tests. Collaborate with Product, QA, Security, DevOps, and Operations teams while supporting cloud applications, monitoring performance, troubleshooting issues, and contributing to CI/CD, observability, reliability, and secure coding initiatives.

Leads the development and deployment of data solutions using Palantir Foundry and AIP. Manages engineering teams, coaches team members, oversees project planning and execution, analyzes system interactions, manages client relationships, and drives innovation. The role applies software engineering, data engineering, analytics, and AI/ML techniques to deliver scalable client solutions while maintaining technical and professional standards.

Develop and deploy data solutions using Palantir Foundry and AIP for client engagements. Lead technical teams, coach team members, analyze system interactions, build applications with large datasets, and apply data engineering and analytics to deliver client outcomes. The role also includes managing client relationships, planning and executing projects, encouraging technology adoption, resolving stakeholder conflicts, and driving continuous improvement.

Leads the development and deployment of software and data solutions using Palantir Foundry and AI/ML technologies. Responsibilities include data engineering, analytics, system improvement, client account management, project ownership, team leadership, coaching, stakeholder engagement, and continuous improvement. The role requires building scalable applications with large datasets and delivering customer-focused solutions.

Design, build, and test flight software for spacecraft systems and mission tools. Collaborate with development teams to write and debug code, participate in code reviews, support artificial intelligence projects, and gain experience across the software development lifecycle. Interns also complete professional development activities, workshops, and leadership sessions while receiving mentorship from aerospace industry experts.

Leads a large software engineering organization supporting healthcare financial platforms, including HSA, FSA, HRA, COBRA, payment processing, and debit card systems. Defines technology strategy, modernizes legacy platforms through cloud and API adoption, governs architecture and roadmaps, ensures secure and resilient transaction processing, drives AI-enabled transformation, manages delivery and risk, and partners with business, product, compliance, banking, and payment stakeholders.

Principal Engineer responsible for defining the long-term architecture and modernization strategy for GitLab’s Fulfillment platform. The role drives technical direction across entitlements, licensing, provisioning, seat management, usage visibility, and cost management. Responsibilities include hands-on distributed systems engineering, migrations, performance and reliability improvements, cross-team influence, AI-assisted engineering adoption, and mentoring senior technical staff.

Paid 12-week software engineering internship involving coding and shipping product features, full-lifecycle development, technical training, mentorship, and collaboration on Atlassian cloud and core products. Interns will apply programming, data structures, algorithms, and software design fundamentals while working with senior engineers. Preferred experience includes prior software engineering projects or internships, AI/ML exposure, and familiarity with design patterns.

Lead the design and development of secure, scalable, high-throughput payment platform services. Build payment orchestration, fraud and risk capabilities, multi-provider integrations, and global bill payment products. Contribute hands-on to production code and proofs of concept, establish technical direction, mentor engineers, collaborate cross-functionally, and promote AI tools that improve engineering productivity.

Software engineering intern supporting the design, development, integration, testing, troubleshooting, and documentation of software for aerospace and defense systems. The role involves Agile development, algorithm and data analysis, object-oriented programming, and collaboration with experienced engineering professionals. Candidates must be pursuing a relevant bachelor’s degree, entering their sophomore through senior year, and be eligible for a U.S. Department of War security clearance.

Design and deliver scalable software features across engineering, product, and business teams. Conduct code reviews, mentor peers, resolve complex application issues, and develop secure algorithms for distributed systems. Work with Java, GoLang, Spring, databases, AWS, Kubernetes, REST APIs, and identity technologies. Analyze large datasets to produce insights and reporting that improve software platforms.

Develop and integrate software for advanced aerospace and defense electronics, including software-defined radios, avionics, and electronic warfare systems. Responsibilities include coding, debugging, software and hardware integration, regression testing, requirements testing, and participation across the software lifecycle. The role includes project rotations, mentorship, technical training, and collaboration in a hybrid work environment.

Develops scalable, resilient software and AI-powered capabilities for identity and access management. Designs, codes, tests, troubleshoots, and maintains secure production systems using Java or Python. Leads responsible adoption of AI-assisted development tools, establishes validation and security standards, contributes to architecture, analyzes large datasets, and improves software quality, resiliency, and operational outcomes. Collaborates with engineering, architecture, data science, risk, compliance, and business teams in an agile environment.

Leads and mentors a product engineering organization, setting technical vision, strategy, roadmaps, and measurable goals. Partners with Product, Design, Data Science, Operations, and Engineering teams to deliver scalable, reliable, secure, privacy-conscious products. Oversees distributed systems and product experiences, drives execution across strategic initiatives, develops engineering talent, hires leaders, and communicates priorities and risks to senior stakeholders.

Leads major cross-department software initiatives from scoping through delivery, establishes technical roadmaps, evaluates technologies through proofs of concept, and guides strategic decisions. Oversees quality assurance, compliance, documentation, standards, and secure software delivery. Mentors teams, manages stakeholders and vendors, supports process improvement, and drives measurable productivity gains. Requires strong software engineering expertise, Java/Spring or Python coding, AWS, Databricks or Snowflake, and experience applying AI in software design.

Leads software engineering initiatives within an agile team, providing technical direction and delivering secure, scalable production code. Establishes governance for AI-assisted development, code review, testing, troubleshooting, and SDLC automation. Shapes product design, technical operations, engineering standards, and reusable frameworks while serving as a subject-matter expert and coaching senior engineers on responsible AI usage, security, resiliency, and validation practices.

Develops and governs architecture solutions for complex software applications and platforms within Employee Platforms. Responsibilities include system design, secure coding, technical troubleshooting, technology evaluation, architectural governance, AI-enabled engineering patterns, and maintaining application resiliency, security, auditability, and operational stability.

Build scalable, privacy-safe advertising signals and measurement systems for Snap’s ad platform. Lead end-to-end software and infrastructure initiatives involving signal ingestion, identity matching, data pipelines, measurement, and advertiser ROI analysis. Provide technical direction across teams, optimize availability, scalability, performance, security, and cost, and collaborate with product, machine learning, and advertising partners. Mentor engineers and apply modern AI-assisted development practices while delivering reliable production services.

Lead Hex’s context platform engineering team, driving technical strategy, design reviews, hands-on development, people management, and talent recruitment. The role focuses on AI agent behavior, context systems, data-intensive products, and SaaS platforms. The Engineering Lead will establish technical standards, develop engineers, build high-performing teams, and guide the platform’s strategy and execution.