Top Software Engineer Jobs

Leads strategic vision, architecture modernization, and delivery of enterprise software engineering solutions. Directs scalable cloud platforms, legacy modernization, AI and machine learning adoption, MLOps governance, and ethical technology practices. Provides executive stakeholder partnership, technical roadmap alignment, engineering team leadership, coaching, hiring strategy, and organizational standards across large-scale healthcare software systems.

Leads multiple engineering teams delivering data engineering, business intelligence, and finance-focused analytics solutions. Responsibilities include setting technical direction, modernizing data pipelines, guiding PySpark architecture, improving operational reliability, establishing engineering standards, developing talent, and partnering with stakeholders on roadmaps. The role also scales responsible AI-assisted engineering practices with governance, security, quality controls, measurable outcomes, and reuse of enterprise technology assets.

Leads software engineering for credit trading technology, designing and building secure, scalable Python systems and AI-enabled trading platforms. Partners with sales, trading, product, vendors, and support teams to deliver solutions, improve reliability, automate remediation, and modernize systems. Establishes engineering standards for AI-assisted development, testing, security, and responsible AI use. Requires strong cloud-native AWS, CI/CD, agile, application resiliency, and software development lifecycle expertise.

Build, test, debug, and ship web and mobile product features alongside senior engineers. Develop AI-powered automation, analyze product usage data, iterate through AI-assisted development, and expand technical skills across languages and frameworks. Interns will collaborate with engineers and data analysts, communicate technical tradeoffs, and work in person at the company’s Union Square NYC office.

Build reliable backend software features and services for Atlassian’s Focus Funds and AI team. Responsibilities include developing REST APIs, configuring backend service monitoring, creating CI/CD pipelines, and integrating platforms with Atlassian’s content management system.

Develop software, automation, dashboards, and web-based tools that help engineers analyze semiconductor manufacturing and product data. Responsibilities include processing large datasets, visualization, workflow automation, AI-assisted engineering applications, debugging, testing, documentation, and collaboration with engineering teams. The intern will own a project from problem definition through implementation and demonstration while gaining experience at the intersection of software, data analytics, and semiconductor manufacturing.

Leads and develops an architecture team supporting asset management technology. Defines data, automation, and AI strategies, target architectures, reference patterns, governance, and delivery roadmaps. Evaluates platforms, guides solution design, promotes responsible AI adoption, and partners with business, engineering, risk, cybersecurity, and enterprise architecture stakeholders. Oversees talent development, architecture decisions, modernization, data enablement, automation, and executive communication in a regulated financial-services environment.

Leads enterprise software engineering, platform reliability, release management, incident response, disaster recovery, and system performance initiatives. Designs and deploys Java, microservices, cloud, streaming, and AI-powered solutions; leads production war rooms and root-cause analysis; manages change workflows, security remediation, observability, and legacy-to-cloud modernization. Partners with Development, DevOps, Security, and vendors to improve availability, scalability, automation, and operational excellence.

Leads enterprise-scale software engineering for JPMorgan Chase’s Databricks data platform. Responsibilities include creating secure, scalable software frameworks, developing and reviewing production code, architecting AWS infrastructure, optimizing Databricks platforms, and governing agentic AI-enabled engineering workflows. The role advises cross-functional teams, influences senior stakeholders, establishes engineering standards, and drives adoption of responsible, secure, auditable automation practices across portfolios.

Supports technology operations and AI automation for cellular networking workflows. Identifies manual processes, documents requirements, develops scripts, applications, dashboards, integrations, and automation frameworks, and prototypes AI-assisted solutions. Cleans and validates operational data, performs testing, documents solutions, monitors deployments, and resolves issues. Collaborates with RAN engineering, construction, field operations, project management, and business teams while following cybersecurity, privacy, access-control, confidentiality, and responsible-AI requirements.

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 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 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.

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.

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.