Top Software Engineer Jobs

Build and manage personalized, behavior-driven CRM journeys, email, SMS, and push experiences using enterprise marketing platforms. Develop responsive templates, data models, audience segments, event integrations, and REST API connections. Troubleshoot journey and profile issues, run experimentation, and manage production releases through GitHub, CI/CD, Jira, and agile practices. Partner with marketers and technical stakeholders to translate business requirements into scalable CRM solutions.

Provides hands-on technical leadership across software engineering teams and platforms. Designs scalable architectures, develops .NET and Azure solutions, reviews code, improves engineering standards, mentors engineers, supports CI/CD and observability, resolves complex production issues, and drives modernization and technical debt reduction. The role collaborates across product, QA, DevOps, security, and operations while influencing technical direction without direct people-management responsibility.

Build Doowii’s conversational analytics platform across frontend, backend, data interaction, and infrastructure. Responsibilities include creating data-query interfaces, developing APIs, integrating AI-driven features, optimizing query and storage performance, managing AWS and GCP systems, designing data models, and maintaining ingestion pipelines involving NiFi, Kafka, Iceberg, and BigQuery. The role also involves model evaluation, schema evolution, change data capture, high-throughput streaming, automation, and rapid startup iteration.

Provides executive leadership for software engineering across regulated clinical, patient-facing, platform, and device-integrated systems. Oversees delivery, scalability, quality, compliance, engineering operations, CI/CD modernization, AI-assisted development, and organizational growth. Leads engineering executives and partners cross-functionally across product, clinical, regulatory, quality, security, machine learning, and IT. Requires extensive leadership of Software as a Medical Device products through development, validation, regulatory approval, commercialization, and post-market support.

Build and maintain reliable, scalable distributed cloud microservices for automotive connectivity systems. Develop secure REST and gRPC APIs, manage high-throughput asynchronous processing, and work with Kubernetes, serverless AWS Lambda, event-driven architecture, Protobuf, Kafka, NoSQL databases, and caching. Responsibilities include deployment automation, performance optimization, testing, code reviews, troubleshooting, monitoring, and root-cause analysis across production environments.

Develop and maintain enterprise full-stack applications using Java, Spring Boot, Hibernate, ReactJS, JavaScript, databases, and web services. Coordinate on-site delivery, offshore engineering teams, sprint goals, technical handoffs, code reviews, CI/CD pipelines, testing, source control, and production troubleshooting across time zones.

Build and maintain backend services, APIs, data models, ETL pipelines, and cloud-based workflows for geospatial and remote sensing data. Own QA/QC activities by designing automated tests, validation checks, accuracy assessments, benchmark datasets, and reproducibility standards. Collaborate with data scientists, AI engineers, cloud engineers, GIS professionals, and project managers to deliver reliable, defensible geospatial products and clearly communicate limitations, uncertainty, and data quality findings.

Design and maintain Node.js and PostgreSQL backend services for order management, fulfillment, inventory, and manufacturing workflows. Own transactional data models, APIs, integrations with Shopify, Salesforce, and logistics providers, order lifecycle automation, database architecture, data integrity, testing, and CI/CD. Collaborate with product and business stakeholders to build reliable systems end to end.

Develop geometry-processing and simulation algorithms for engineering applications, build services for 2D/3D CAD, CAE, and CAM data, create rendering modules, curate datasets, optimize machine learning post-training workflows, and contribute to engineering domain-specific languages. The role requires strong Python development, computational design or geometry-processing experience, machine learning expertise, and familiarity with CAD/CAM/CAE tools, LLM post-training, and compilers or DSLs.

Own and develop backend services, APIs, integrations, data pipelines, and referral workflows using Python, with React frontend work as needed. Serve as the subject matter expert for a business domain, improve reliability and data quality, review designs and code, and partner with Product and Operations. Build AI-agent skills, rules, and context while introducing agentic development practices using coding tools.