Top Software Engineer Jobs

Leads a team of software engineers in designing, developing, testing, and operating secure, resilient Java microservices. Oversees architecture, implementation, technical troubleshooting, and design documentation for event-driven systems using Kafka, Spring Boot, and cloud infrastructure. Promotes automation, responsible AI-assisted development, secure coding, continuous delivery, operational stability, and adoption of emerging technologies. Provides technical leadership across agile teams and evaluates architectural solutions with vendors and internal stakeholders.

Leads the design, development, testing, troubleshooting, and delivery of scalable Java software systems for Identity and Access Management. Produces architecture artifacts, applies secure coding and non-functional requirements, mentors engineers, and drives Agile delivery. Leads adoption of enterprise-approved AI-assisted development tools, establishing standards for validation, security, and responsible use. Collaborates with stakeholders, evaluates system dependencies, and implements continuous improvements across software delivery and automation practices.

Leads development of secure, scalable Java and AWS software systems, including microservices, event-driven platforms, and production machine-learning systems. Designs data and feature pipelines, model deployment and monitoring, automation, CI/CD, and operational stability practices. Guides code reviews, testing, secure coding, vendor evaluations, and responsible adoption of AI-assisted engineering tools. Collaborates across product, data, platform, SRE, and governance teams while promoting MLOps, LLM, observability, and model-monitoring practices.

Develops secure, scalable full-stack applications for Asset Management. Responsibilities include software design, coding, testing, troubleshooting, architecture, data analysis, visualization, and operational stability. Uses enterprise-authorized AI coding tools responsibly to improve development productivity while validating outputs for security and correctness. Builds services with Hibernate, Spring JPA, PostgreSQL, REST APIs, and GraphQL, with preferred experience in Kafka, Avro, React, and AWS.

Build and lead production Python software for technology-risk oversight, including data pipelines, PostgreSQL systems, authenticated APIs, and LLM agent workflows. Develop RAG, tool orchestration, evaluation, and guardrails; ensure security, auditability, observability, testing, reliability, and responsible AI use. Collaborate with Product, Risk, Controls, Compliance, and data teams while delivering dashboards and evidence packages.

Lead a global agile scrum team to design, build, and operate scalable, secure microservice-based applications. Integrate AI (Claude Code) into development and delivery, drive architecture and technical decisions, mentor engineers, enforce AI-assisted engineering governance, and ensure production quality, stability, and automation across the SDLC.

Lead design, develop, and deploy secure, scalable full-stack applications (Java or Python) for finance planning and analysis. Drive architecture reviews, operational stability, CI/CD automation, cloud-native AWS deployments, and integration of AI/ML/LLM capabilities. Mentor teams and lead engineering communities of practice.

Lead enterprise architecture and engineering strategy for AI-native, cloud-native platforms. Define AI-enabled patterns, governance, and guardrails; drive platform modernization, CI/CD, IaC, automated testing, reuse-first engineering, and mentor architect-engineers while ensuring security, resiliency, and auditability.

Lead design, architecture, and delivery of full-stack, AI-enabled applications. Provide technical leadership across frontend, backend, APIs, databases, and AI integration. Drive engineering best practices, CI/CD, automated testing, cloud-native (AWS) solutions, and adoption of AI-assisted development while ensuring secure, resilient, scalable systems.

Lead engineering teams and technology portfolios while designing and implementing large-scale, distributed, cloud-native systems. Build full-stack solutions using modern programming languages, microservices, databases, containers, and cloud platforms. Provide technical leadership on architecture, platform roadmaps, reliability, observability, coding standards, and enterprise technology strategy. Mentor engineers, collaborate with product and architecture leaders, and drive cross-functional technical initiatives supporting regulatory and customer needs.

Develop and support full-stack applications across web, iOS, Android, and Linux platforms. Build real-time mapping and image-processing solutions, implement front-end components, REST back-end services, and database schemas, and maintain third-party dependencies. Collaborate with product and engineering teams in an Agile environment to deliver reliable software milestones. The role also provides technical support for field applications and requires occasional travel to field offices and testing areas.

Develop Unix applications and complex CNO capabilities using C, C++, Rust, or Python. Collaborate with AI/ML and software engineers to build systems supporting national security operations, define operational parameters, and apply software lifecycle practices across design, development, testing, validation, and deployment. The role also involves embedded software validation and leveraging AI-assisted development.

Develop Windows applications and complex software for national security and computer network operations. Collaborate with AI/ML and software engineering teams, apply network operations expertise, manage software lifecycle activities, and design, test, validate, and deploy Windows-focused solutions. The role requires object-oriented programming experience, strong C/C++/C# skills, familiarity with Rust or Python, and a TS/SCI clearance with polygraph.

Lead a product-focused engineering team building WorkOS Dashboard features for onboarding, growth, billing, monetization, and AI assistance. Responsibilities include technical strategy, architecture, prototyping, product decision-making, customer discovery, roadmap development, hiring, mentoring, and team growth. The role partners closely with product, design, finance, go-to-market, recruiting, and engineering teams while balancing rapid delivery with reliability, billing correctness, and AI quality.

Leads the global Shop Floor Control and MES engineering organization across wafer fabs. Defines the technology strategy and roadmap, oversees delivery, modernizes legacy platforms, and partners with manufacturing and automation teams. Provides technical direction for production execution, lot tracking, equipment integration, WIP management, data collection, and factory event processing. Builds organizational capability through hiring, coaching, and succession planning while ensuring scalable, resilient, secure, and standardized manufacturing systems.

Participate in a 12-week primarily remote technical internship, contributing to projects in software engineering, AI/ML, cloud and DevOps, cybersecurity, data, or research. Interns collaborate with technical teams, participate in Agile ceremonies, receive mentorship, develop and document solutions, communicate progress, and present a final capstone project. Attendance at a required onsite summit in Bridgeport, West Virginia is included.

Manages secure desktop and web application integrations, automation, APIs, and vendor-supported systems. Designs, develops, tests, documents, upgrades, and troubleshoots integrations while supporting application security assessments, vulnerability resolution, and compliance. Collaborates with business teams to translate processes into technology requirements, evaluates new applications, writes maintainable code, and provides technical support. Preferred experience includes PowerShell automation, API development tools, AI and bot development, cloud SaaS, and complex SQL.

Build and productionize data and AI applications on Palantir Foundry for biomedical domain teams. Responsibilities include designing data pipelines, transformations, ontology models, workflow applications, integrations, access controls, data quality checks, and production monitoring. The role leads discovery and iterative delivery, partners with product, data, governance, and platform teams, supports user adoption, and creates reusable delivery patterns. Candidates need strong programming, data and application engineering, stakeholder management, and biomedical domain experience.

Develops secure, scalable software for Azure AI Platform services across air-gapped, sovereign, and commercial clouds. Responsibilities include coding, architecture, testing, deployment automation, security hardening, monitoring, incident response, reliability improvements, and on-call support. The engineer collaborates with partner teams, applies AI-assisted development practices, contributes to design and implementation plans, and ensures compliance, privacy, performance, and operational requirements for mission-critical AI infrastructure.

Designs scalable systems, leads end-to-end technical execution, drives cross-team initiatives, and contributes hands-on production code. The role maintains engineering standards across architecture, testing, CI/CD, observability, and DevOps; leads incident response and root-cause analysis; mentors engineers; troubleshoots production issues; and aligns technical delivery with product priorities.

Leads distributed, cross-regional software engineering teams responsible for Conference Tech platform integrations. Drives the integration roadmap, cloud architecture, API-centric and event-driven platform development, engineering excellence, SDLC rigor, quality, responsible AI adoption, and organizational change. Partners with business and IT leaders to deliver secure, scalable enterprise solutions aligned with strategic priorities and improved conference attendee experiences.

Leads multiple .NET development teams and QA functions delivering secure, scalable Azure-hosted applications. Establishes Agile delivery practices, engineering metrics, testing standards, CI/CD and DevSecOps processes, application security controls, and production support practices. Drives adoption of AI-assisted development tools and leads AI-driven and agentic solution delivery. Partners with architecture, security, cloud, product, and business stakeholders while managing hiring, coaching, technical debt, compliance, and continuous improvement.

Leads engineering managers, software engineers, architects, data engineers, and support teams responsible for enterprise fraud technology platforms. Oversees real-time fraud detection, transaction monitoring, risk scoring, identity and payments fraud controls, case management, and 24x7 operations. Sets technology strategy, budgets, governance, SLAs, security, resiliency, and modernization standards. Drives cloud-native architecture, CI/CD, Infrastructure as Code, SRE, observability, event-driven systems, and real-time analytics while partnering with risk, cybersecurity, compliance, fraud operations, and business leaders.

Leads engineering strategy, teams, budgets, modernization, and operational accountability for enterprise AML technology platforms. Oversees transaction monitoring, risk scoring, investigations, case management, regulatory reporting, and financial crime detection capabilities. Drives cloud modernization, resiliency, security, CI/CD, Infrastructure as Code, SRE, observability, advanced analytics, machine learning, and graph analytics. Partners with AML Operations, Compliance, Risk, Cybersecurity, Audit, and business leaders while managing vendors, governance, controls, talent development, and platform performance.

Software Engineer Interns will own scoped projects from design through launch, building reliable, tested, production-quality software. They may contribute across backend services, product engineering, infrastructure, security, UI/full-stack, machine learning, NLP, or search. Interns will collaborate across teams, participate in code reviews, learn quickly, and measure project outcomes in a fast-paced environment.