Top Software Engineer Jobs

Leads software engineering projects and developers building distributed microservices, full-stack systems, and cloud-based solutions. Collaborates with product managers, addresses regulatory needs, evaluates emerging technologies, mentors engineers, and contributes to technology communities. The role uses languages including Python, Java, JavaScript, TypeScript, SQL, and Go, along with AWS, containers, Kubernetes, relational databases, NoSQL, Snowflake, Databricks, and AI tooling.

Leads development of resilient, scalable Java and Python services, enterprise integrations, and AI-assisted engineering practices. Architects microservices, Kubernetes deployments, messaging, observability, and backend infrastructure. Builds ML pipeline and feature-store capabilities for fraud and risk models, operationalizes models, and creates agentic AI services with production guardrails, monitoring, governance, and auditability. Mentors engineers, coordinates delivery across stakeholders, and ensures security, performance, testing, and operational requirements.

The Senior Innovation Engineer develops and implements Pega intelligent automation solutions, collaborating with architects and teams to enhance digital transformation projects.

Develop and expand software products and platforms across backend, frontend, cloud, AI, and machine learning systems. Build efficient, reliable, and testable code; collaborate with business partners to launch features; influence product and engineering decisions; mentor team members; and help shape team culture and product vision in an agile environment.

Lead an agile engineering team to design, build, test, and operate secure, scalable production systems. Drive adoption and governance of AI-assisted development (prompting, agentic engineering) within the SDLC, provide technical guidance, review code, and ensure responsible AI practices and operational stability in trading and risk engineering contexts.

Design, develop, and maintain scalable backend systems for automated order-taking platforms, collaborating with teams to integrate AI models and optimize performance across noisy environments.

As a Software Engineer at Deepgram for Restaurants, you'll design and maintain scalable backend systems for automated ordering, integrating AI models, optimizing performance, and ensuring smooth interactions with restaurant software.

Lead design and delivery of a web channel framework using React/TypeScript. Drive engineering standards, testing (unit to end-to-end), CI/CD, performance optimization, RESTful services, and cross-functional agile collaboration to build a scalable SPA platform.

The Staff Applied AI Engineer will architect multi-agent LLM systems, drive performance optimization, mentor teams, and ensure system reliability while fostering continuous improvement.

Design and build maintainable, scalable, observable, and well-tested backend and distributed systems. Work in an AI-augmented development workflow, validate AI-generated outputs, contribute to architecture and system evolution, document designs and prompts, and mentor peers while collaborating with Product and UX.

Senior Java full-stack engineer responsible for designing, building, and maintaining scalable microservices and APIs using modern Java and cloud-native technologies. Provide technical leadership, mentor engineers, perform code reviews, support production incidents, create architecture and API artifacts, and leverage AI-assisted development tools while ensuring governance, security, and best practices.

As a Senior AI Enablement Engineer, you'll design AI infrastructure, build scalable systems, ensure compliance, and promote AI adoption across teams.

Design, prototype, develop, and debug moderately complex software for semiconductor equipment components and devices. Create reusable software modules and libraries, documentation, and test procedures. Troubleshoot software issues, implement bug fixes, analyze requirements, coordinate schedules, and communicate with internal and external customers.

Lead Databricks’ Learning initiative across self-paced and enterprise-managed learning products. Define technical and product strategy, own roadmap and delivery from 0-to-1 through large-scale adoption, establish engineering excellence, and partner cross-functionally with R&D, Learning, Marketing, and Field Engineering. Manage approximately 12 engineers while scaling the organization and building AI-powered learning systems, interactive labs, identity, sandboxing, provisioning, and distributed infrastructure for millions of learners.

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 full‑stack development of scalable, secure services and UI using Java, Python, and React. Build AI/agentic capabilities with Smart SDK, design data/search solutions (PostgreSQL, OpenSearch), drive cloud-native engineering on AWS with Terraform, improve SDLC via AI-assisted tooling, mentor engineers, and deliver operational reliability.

Lead design, develop, and deliver secure, scalable production software using Java/Python and cloud (AWS). Drive AI-assisted development adoption, evaluate vendors, automate remediation, mentor teams, and ensure CI/CD, resiliency, and security best practices.

Lead an agile team to design, build, and deliver secure, scalable full-stack applications. Drive adoption of enterprise AI-assisted engineering, evaluate vendors, mentor engineers on responsible AI, and promote best practices across software development and cloud infrastructure.

Designs, develops, debugs, and operates secure, scalable software solutions; drives adoption of enterprise AI-assisted engineering practices; produces architecture artifacts; analyzes large datasets to improve systems; coaches teams on responsible AI, testing, and resiliency.

Lead and deliver secure, scalable Java/Spring enterprise applications; drive adoption of enterprise AI-assisted engineering practices; design, develop, review, and stabilize production code; evaluate vendors and lead engineering communities of practice.

Lead design and deliver production-grade trading systems using Python and Java, build AI-native platforms, champion AI-assisted engineering practices, partner with Credit Sales & Trading, support production stability, and drive adoption of secure, automated SDLC and cloud-native solutions.

Lead an agile engineering team to design, develop, and operate secure, scalable Java services on AWS (ECS/EKS) with Postgres. Provide technical direction, adopt AI-assisted development practices, ensure operational stability, build observability dashboards (Splunk/Dynatrace/Grafana), and drive multi-region, zero-downtime deployments while promoting SDLC governance and reuse.

Lead technical contributor on an agile Investment Banking engineering team. Design, develop, debug, and optimize secure production Java/J2EE/Spring Boot systems; drive adoption and validation of enterprise-approved AI-assisted engineering practices; lead vendor evaluations, automation and remediation efforts, and communities of practice; mentor engineers on responsible AI use and ensure test automation, performance tuning, and operational stability.

Lead and contribute to design, develop, and maintain scalable Java/Spring Boot services on AWS. Drive adoption of enterprise-authorized AI-assisted engineering practices, ensure operational stability and monitoring (Prometheus/Grafana), troubleshoot complex issues, participate in architecture and code review, automate remediation, and mentor/lead software engineers.

Lead and architect production-grade trading systems for Credit Pre-Trade Technology, build AI-native platforms, develop and maintain secure scalable code, partner with trading and product teams, drive AI-assisted engineering practices, support production stability and automation, and lead technical evaluations and communities of practice.