Top Senior Software Engineer Jobs

Design and build Kubernetes-native systems that schedule, execute, and manage machine learning workloads at scale. Integrate Ray with Kubernetes, improve cluster resource utilization, reliability, observability, and failure handling, and develop tooling, APIs, and frameworks for internal engineering teams. The role includes end-to-end project ownership, code and design reviews, mentoring, and cross-functional collaboration across ML, infrastructure, product, and operations teams.

Lead the technical direction of backend systems for a cybersecurity assessment platform. Design and build scalable services, APIs, data models, and event-driven workflows; make architecture and reliability decisions; write production code; improve observability and safe deployment practices; lead cross-team initiatives; mentor engineers; contribute to hiring; and translate customer and product goals into technical strategy.

Develop and integrate software for an autonomous driving and ADAS vehicle platform. Responsibilities include architecture, implementation, testing, build tooling, sensor and vehicle integration, middleware, inter-ECU communication, and roadmap development. The role requires hands-on embedded systems work across operating systems, hardware, and sensors, along with technical leadership, cross-team collaboration, mentoring, and production software delivery in automotive, robotics, aerospace, or defense environments.

Own backend payment, wallet, ledger, reconciliation, fraud, and risk services handling real-money transactions. Design double-entry accounting systems, integrate payment processors and KYC/AML vendors, ensure exact-once posting and auditability, and support finance reporting through Snowflake and dbt. Partner with Finance, Compliance, and Trust & Safety while participating in on-call coverage for high-volume sports events.

Build robust, high-quality software solutions for Citi’s margin and collateral technology platform. Develop RESTful APIs and applications using Java, React, and/or Python; apply test-driven development, clean code, data structures, algorithms, and SQL. Collaborate with product teams and users, solve complex engineering problems, manage multiple priorities, and contribute to a strong global engineering culture. Cloud, distributed systems, and financial-services experience are beneficial.

Build infrastructure for AI-driven software development, including cloud coding environments, autonomous coding agents, SRE integrations, and reusable agent platforms. Own developer environments, agent integrations, security guardrails, observability, evaluation, and feedback loops. The role requires deep infrastructure experience across AWS, containers, infrastructure as code, CI/CD, and TypeScript/Node.js, plus hands-on use and orchestration of AI coding agents.

Leads mobile software engineering and architecture efforts across large-scale projects. Provides design and code reviews, architectural guidance, technical risk management, design-pattern adoption, and delivery planning. Partners with business stakeholders, TPMs, engineering managers, and developers to resolve dependencies and blockers. Mentors engineering teams, drives continuous improvement, and promotes best practices across the software development lifecycle. Develops mobile solutions using Swift, Kotlin, and Java while supporting cloud platforms and CI/CD automation.

Design, develop, and deploy Java and Python applications across distributed architectures with observability built in. Standardize telemetry using OpenTelemetry, advance AIOps through BigPanda and Google Cloud Observability, and integrate AI/ML for predictive failure detection and self-healing systems. Define SRE practices including SLIs, SLOs, and error budgets; troubleshoot complex issues; partner across engineering teams; and mentor others as an observability and AIOps subject matter expert.

Lead development of FINRA’s market surveillance platform, building resilient AWS-based microservices and serverless systems across front-end, back-end, and AI agent components. Design high-quality, performant software, improve engineering processes, mentor colleagues, conduct performance optimization, and promote DevOps, testing, security, and automation best practices. Collaborate cross-functionally to resolve technical challenges and deliver tools for market regulation experts.

Leads a team of up to 12 developers while designing and delivering enterprise full-stack applications. Responsibilities include developing .NET and Angular interfaces, architecting microservices and REST APIs, designing relational and NoSQL databases, managing SDLC compliance, supporting UAT, and advancing CI/CD and DevOps practices. The role also requires stakeholder collaboration, technical estimation, delivery coordination, project financial tracking, and mentoring within a regulated financial services environment.

Build and own automation platforms, AI agents, staffing workflows, incentive models, and revenue-monitoring systems that scale Mercor’s data production businesses. The role requires independently driving large technical initiatives, improving operational throughput and quality, and working effectively in an ambiguous, fast-paced environment.

Design, implement, and maintain complex multithreaded and distributed software applications. Develop desktop and web applications, web services, and data-intensive systems while following SDLC practices. Collaborate on compute-system design, procurement, and setup; support customer sites; lead major product features; mentor team members; and stay current with relevant software technologies and standards.

Leads the design, development, delivery, and migration of enterprise finance technology applications across Oracle EPM, FCCS, and ARCS. Analyzes complex systems, defines application standards, translates business requirements, manages cross-functional projects, mentors developers and analysts, and applies architecture and risk-management principles. The role requires extensive applications development experience, finance industry expertise, full-stack Python or Java skills, PySpark experience, and AI enablement knowledge.

Senior backend engineer responsible for owning complex SaaS features end to end, from problem definition through production delivery. The role involves building reliable, scalable backend systems, designing APIs, optimizing performance, writing comprehensive tests, handling production issues, and applying safe deployment practices. The engineer will use AI tools in development, collaborate across engineering, product, and design, improve team workflows, document technical decisions, and mentor or support broader engineering capabilities.

Develop and maintain software and algorithms for semiconductor inspection platforms spanning optics, mechanics, electronics, imaging, and software. Responsibilities include machine learning, computer vision, image processing, calibration, segmentation, classification, software design, testing, debugging, performance optimization, and cross-subsystem problem solving. Senior engineers drive architecture, lead technical direction, mentor teammates, collaborate across engineering groups, and use AI coding agents while maintaining code quality and system integrity.

Build and maintain backend systems, ETL pipelines, data models, integrations, and agentic AI workflows. Provide technical leadership and mentorship while deploying solutions directly in customer environments. Collaborate with customers to understand infrastructure and analytics needs, lead integrations and proofs of concept, support pre-sales activities, and translate feedback into product improvements. The role requires strong Python, cloud, containerization, SQL, networking, and customer-facing engineering skills.

Provides technical leadership for enterprise-scale software supporting healthcare revenue cycle operations. Designs scalable applications, APIs, microservices, integrations, cloud-native solutions, and healthcare interoperability workflows using HL7, FHIR, and EDI/X12. Leads architecture, automation, security, performance, code reviews, troubleshooting, modernization, and technical strategy while collaborating with product, operations, analytics, infrastructure, and engineering teams.

Leads the design, development, deployment, and operation of cloud-native, microservices-based digital applications. Builds event-driven solutions, contributes to technical direction, mentors engineers, partners with architects and product teams, and translates business requirements into scalable software. Responsibilities span the full software lifecycle and include collaborating across digital, data, analytics, and platform engineering teams while applying modern technologies and emerging AI capabilities.

Build and scale backend-heavy full-stack features for a high-traffic news platform. Responsibilities include developing Node.js and TypeScript services, GraphQL and REST APIs, React and Next.js interfaces, caching strategies, data integrations, automated testing, CI/CD, cloud deployment, monitoring, incident response, and production reliability. The engineer will also support AI-powered hyperlocal content systems and collaborate with product, editorial, and engineering stakeholders.

Lead full‑stack development for hedge fund technology: gather requirements, design and implement Java/Python/React applications, support AWS/Terraform infrastructure and RDS databases, drive AI‑assisted engineering practices, mentor engineers, integrate third‑party vendor systems, and ensure secure, scalable, test‑driven delivery.

Leads the design, development, testing, and operation of secure, scalable cloud-native software services. Provides technical direction, writes and reviews production code, develops AWS APIs and event-driven microservices, manages Terraform infrastructure, and improves CI/CD, testing, observability, and reliability. Establishes governance for responsible AI-assisted engineering, validates AI outputs for security and quality, promotes engineering standards, and coaches teams on compliant development practices.

Leads development of a next-generation equipment and asset finance platform. Designs, builds, tests, secures, and troubleshoots scalable Java and Spring Boot applications using microservices, REST, Kafka, React, and relational databases. Provides technical direction to a global feature team, mentors engineers, reviews code, drives AI-assisted engineering practices, and contributes to architecture. Improves application stability, observability, code quality, deployment reliability, and operational support across development, staging, and production environments.

Build and lead development of full-stack digital engineering software serving as systems of record for product, manufacturing, and operations data. Design domain models, APIs, integrations, event-driven workflows, migrations, and production infrastructure with strong traceability, observability, security, and auditability. Mentor engineers, set technical direction, collaborate with engineering and manufacturing users, and support reliable software operations in an aerospace and national security environment.

Build and operate full-stack applications, APIs, integrations, and event-driven data flows supporting product, manufacturing, and operations data. Model traceable domain records, lead projects from design through delivery, migrate systems, and implement observability and data-quality controls. Collaborate with engineering, supply chain, and manufacturing users, mentor engineers, contribute to technical designs, and participate in production support and incident response.

Leads technical initiatives for Toast’s restaurant scheduling product, designing and delivering scalable full-stack software. Responsibilities include architecture, API and system design, roadmap influence, cross-functional collaboration, engineering quality, performance, and technical leadership. The role also promotes AI-assisted development and improved employee and customer experiences.