Top Software Engineer Jobs

Build REST APIs, customer-facing React components, backend monitoring, CI/CD pipelines, content management system integrations, and reliable features and services. The role requires JavaScript or TypeScript experience with React and Node.js, REST platform integrations, Git collaboration, HTML and Sass/CSS, server technologies, and cross-functional work with UX and visual designers. Experience with enterprise content management systems, AWS, Java, Freemarker, or Rust is advantageous.

Contribute to Reflex, VSCO’s production GPU image-processing engine, expanding RAW processing, large-image export, desktop support, color accuracy, memory management, and performance. Ship engine changes through native bridges to iOS and macOS, maintain shared rendering contracts, diagnose mobile graphics issues, improve packaging and CI workflows, and collaborate across product, design, and engineering on technical direction. The role requires deep GPU and rendering expertise, systems programming, mobile graphics experience, and AI-assisted development workflows.

Leads design, implementation, operation, and production support for scalable corporate technology platforms. Responsibilities include software and data solutions, batch processing, automation, observability, cloud operations, incident and problem management, AI agent and MCP capabilities, secure SDLC practices, roadmap execution, mentoring, and responsible adoption of AI-assisted engineering tools.

Leads software engineering within an agile team, providing technical guidance, developing and reviewing secure production code, and driving design and operational decisions. Establishes responsible AI-assisted engineering practices, validation standards, automation, and SDLC governance. Serves as a subject-matter expert, promotes reusable frameworks, mentors engineering teams, and delivers scalable cloud-native applications with strong testing, security, and operational stability.

Lead development of secure, scalable web applications and microservices using Java, Python, and AWS. Design, test, troubleshoot, and review production code; improve operational stability through automation and remediation. Guide adoption of AI-assisted engineering tools with secure validation practices, coach engineers on responsible AI use, and evaluate vendor and architectural solutions. Collaborate within an agile team to deliver high-volume, low-latency transactional systems supporting financial services workflows.

Design, build, and maintain mission-critical data and analytics infrastructure on AWS. Develop high-quality code, create system infrastructure, operate distributed systems in production, and contribute to technical design. Review designs and code, establish engineering best practices, and mentor engineers across the organization. Work with large-scale data processing, storage, OLTP and OLAP databases, and real-time analytics systems.

Leads development of secure, scalable payment applications using Java, Spring Boot, microservices, AWS, Terraform, and CloudFormation. Designs, codes, tests, debugs, and reviews production software; improves resiliency, automation, and operational stability. Drives responsible adoption of AI-assisted engineering tools, evaluates technical solutions with vendors and internal teams, and mentors software engineers within an agile environment.

Build foundational frontend systems, reusable components, developer tooling, and customer-facing experiences for a large TypeScript and React platform. Lead projects from technical design through rollout, improve developer experience, ensure accessibility and performance, collaborate across engineering and design teams, and mentor engineers through reviews, pairing, and technical guidance.

Lead a small engineering team in building AI-native products from customer discovery through production and adoption. Partner with product and design, run hypothesis-driven experiments, engage directly with users, and own architecture, instrumentation, quality, and telemetry. Mentor engineers, set technical standards, deliver incremental releases, and make pragmatic decisions that connect engineering work to customer outcomes.

Lead architectural evolution of a high-traffic B2B SaaS supplier platform: define microservice boundaries, APIs, CI/CD, multi-cloud deployment, security, multi-tenancy, and mentor engineers while partnering with SRE, product, and business teams.

Develop and support SAP ABAP and HANA solutions for Finance, Procurement, Subledger, and BRIM systems. Design CDS views, OData services, SQL objects, AMDPs, and RAP-based Clean Core extensions. Participate in SAP implementations, integrations, migrations, debugging, testing, production support, and ongoing enhancements across S/4HANA and ECC environments. Collaborate with business stakeholders, product teams, and distributed engineering resources while following development standards, controls, and project methodologies.

Lead development of Python-based automation for load balancer provisioning, configuration, lifecycle management, API integrations, and infrastructure product deployments. Build reusable Ansible frameworks, REST APIs, and workflow orchestration tools while improving reliability, security, and operational efficiency. Collaborate with network and platform engineering teams in a large enterprise environment, troubleshoot infrastructure automation end to end, and support legacy and cloud-native platforms.

Lead development of Python-based automation for provisioning, configuring, and managing load balancer infrastructure. Build REST API integrations, reusable Ansible frameworks, and scalable workflows that reduce operational effort and improve reliability. Collaborate with network and platform engineering teams, automate deployments and customer journeys, troubleshoot infrastructure workflows, and support legacy and cloud-native platforms in an enterprise environment.

Leads development of Python-based automation for load balancer infrastructure, including provisioning, configuration, lifecycle management, API integrations, and infrastructure workflows. Builds reusable automation frameworks, translates manual procedures into code, and supports scalable, secure, maintainable systems. Collaborates with network and platform engineering teams on deployments, customer journeys, and infrastructure service APIs across enterprise and cloud environments.

Leads development of Python-based automation for load balancer provisioning, configuration, lifecycle management, deployments, and APIs. Builds integrations between network platforms and internal systems, converts manual procedures into repeatable workflows, and improves reliability, security, and maintainability. Collaborates with network and platform engineering teams in an enterprise environment. Requires extensive Python, REST API, Ansible, GitHub, and load balancer automation experience, with exposure to cloud-native and legacy infrastructure.

Develops resilient, scalable, and performant solutions for a healthcare payments platform across the full application stack. Responsibilities include building frontend and backend services, participating in technical and product discussions, applying software engineering best practices, writing automated tests, and working independently with strong ownership. The role uses Java, Spring, NodeJS, JavaScript or TypeScript, frontend frameworks, SQL, REST APIs, AWS, and distributed systems.

Develop and optimize high-scale Adobe Commerce ecommerce platforms using PHP, JavaScript, Node.js, GraphQL, REST, and MySQL. Separate business logic from presentation layers, improve database and caching performance, build CI/CD validation, monitor production systems with New Relic, and create endurance load tests. Integrate identity, payment, and tax systems while mentoring junior engineers and leading offshore teams.

Leads end-to-end software delivery for enterprise connected-vehicle and fleet platforms. Designs and develops scalable backend services using Java, Kotlin, Spring Boot, relational and NoSQL databases, cloud-native Azure infrastructure, APIs, SDKs, event-driven processing, and service-oriented architectures. Oversees requirements, system design, implementation, automated and manual testing, CI/CD deployment, operational support, and issue resolution across distributed systems.

Senior Software Engineer role at Atlassian with flexible work-location options. The detailed job responsibilities and qualifications were not provided. Compensation ranges from $149,400 to $235,000 in U.S. geographic pay zones, with potential benefits, bonuses, commissions, and equity.

Build and evolve Notion’s Developer Platform, including APIs, MCP tools, integration infrastructure, and internal platform capabilities. Partner with product, design, data science, and research teams to define strategy and deliver reliable, scalable features. Own production software end to end, improve platform performance and robustness, and drive high-leverage technical investments. Help developers and customers create integrations, automations, and connected workflows.

Leads complex enterprise AI deployments and high-stakes go-live engagements, owns deployment playbooks and shared tooling, mentors engineers, establishes quality standards, captures reusable deployment knowledge, and partners with product and engineering teams. The role requires hands-on software development, customer-facing communication, AI and GenAI integration, prompt engineering, and production delivery experience.

The Senior Software Engineer will design and build scalable AI/ML backend systems, develop data pipelines, and collaborate with cross-functional teams to implement ML-driven features while ensuring system performance and documentation.

Own platform-wide reliability engineering for 99.9%+ uptime. Design failover, multi-region deployments, database replication, disaster recovery, observability, synthetic monitoring, SLO alerting, incident management, chaos engineering, and resilience patterns. Build dependency mirrors and automation while influencing architecture and establishing reliability standards across teams. The role requires expertise in distributed systems, AWS, databases, Datadog, JVM performance, Java or Scala, and production operations at scale.

Leads development of secure, scalable Java backend services for wealth management. Designs, builds, tests, reviews, debugs, deploys, and operates production software using Spring Boot, microservices, messaging, databases, Kubernetes, Redis, and AWS. Drives automation, operational stability, monitoring, documentation, and secure AI-assisted engineering practices. Evaluates vendor and architectural solutions while independently resolving complex technical problems and coaching engineering teams on responsible AI usage.

Leads software engineering for a large-scale Apache Cassandra platform. Designs and delivers automation, self-service tooling, infrastructure frameworks, and cloud capabilities across private and public environments. Partners with engineering teams to improve developer velocity, code quality, resiliency, security, and customer experience. Applies AI-assisted infrastructure practices with validation, auditability, and data-sensitivity controls. Requires expertise in software development, databases, Linux, distributed systems, configuration management, and Database Reliability Engineering.