Top Software Engineer Jobs

The Software Engineer is responsible for data collection and ingestion pipeline management, collaborating with scientists and leadership to enhance data quality and scale for AI initiatives.

Responsible for data collection to support model training operations, extending the cloud infrastructure, and collaboration for AI data strategies.

The Software Engineer will focus on data collection and managing the ingestion pipeline, collaborating with scientists to enhance model training with high-quality datasets.

As a Software Engineer on the Data team at Speechify, you'll enhance data collection processes, manage cloud infrastructure, and collaborate with scientists to optimize data for model training.

This role involves managing data collection for model training, extending cloud infrastructure, and collaborating on data strategies to enhance product output.

As a Software Engineer for Data Infrastructure, you will enhance data collection methods, manage cloud infrastructure, and collaborate on AI datasets to support model training.

The Software Engineer will manage data collection and enhance the data ingestion pipeline on GCP, working closely with AI scientists to optimize data for model training.

Design, build, and maintain highly available full-stack web and mobile software for Starlink. Deliver expert TypeScript/React front-ends, .NET microservices on Kubernetes, monitoring/alerting, performance tuning, and collaborate across teams to improve architecture, observability, and customer experience.

Design and build reliable, high-performance full‑stack web applications and services for Starlink. Implement TypeScript/React frontends and .NET microservices running in Kubernetes, focus on fault-tolerant, observable systems, monitoring/alerting, and collaborate with cross-functional teams to improve architecture, design, and customer experience.

Design, build, and operate scalable, highly available full-stack web applications for Starlink using TypeScript/React and a .NET microservice backend in Kubernetes. Collaborate cross-functionally, monitor system health, improve performance, and deliver exceptional user experiences while owning outcomes.

The Senior Software Engineer leads the design and development of scalable front-end applications using React and Node.js, while overseeing back-end service integration, performance optimization, and Agile practices.

The Lead Software Engineer will design and implement data transformation pipelines and AI solutions, leading technical sessions, collaborating with teams, and ensuring responsible AI practices. Key responsibilities include hands-on development in various languages and guiding modernization efforts for legacy systems.

Lead design and delivery of scalable full-stack web applications using Go and HTMX, provide technical leadership and mentorship, own cloud-native Azure architecture, champion DevOps/CI-CD and operational excellence, collaborate with .NET and React teams, and promote AI-assisted tooling.

Own and ship full‑stack production software across Compa’s web app and backend. Lead architecture and technical decisions, integrate ML/AI into data workflows, mentor through code review, and collaborate with Product and Design to build enterprise features and data pipelines.

Lead development and migration to a workflow-as-code management plane (Temporal) to provision and operate a global fleet (100k+). Build idempotent, replay-safe workflows, orchestration-ready platform APIs, AI/ML-driven SRE features, and deep telemetry for explainable, auditable fleet operations.

Lead technical strategy and execution for multi-quarter initiatives; build and maintain AI-driven systems; mentor and raise the technical bar across teams; collaborate cross-functionally; ensure data security and HIPAA-compliant practices; operate in an AWS + Kubernetes environment while introducing new technologies as system load grows.

Lead architectural vision and technical strategy for Mastercard's SME Partnerships platform. Design cloud-native, secure, scalable microservices and event-driven systems, drive architecture governance, mentor engineers, collaborate with product and technology leaders, and deliver high-volume transactional services using modern CI/CD and containerized infrastructure.

Design and implement Datadog's Rust-based streaming client libraries and their interactions with the control plane. Optimize high-throughput, low-level streaming code for performance, reliability, and observability. Support and document developer experience, lead cross-team technical projects, and mentor junior engineers and interns.

Lead design and implementation of search query architecture and execution for Atlas Search. Architect features, drive complex projects, optimize query language and performance, debug multithreaded Java and Rust systems, mentor teammates, and collaborate across teams to deliver scalable relevance and vector search capabilities.

Lead and mentor a team building cloud-based full-stack, microservices solutions to meet regulatory needs. Collaborate with product managers, drive technical direction, experiment with emerging technologies, and deliver scalable AWS-hosted applications using modern languages, databases, containers, and orchestration.

Hands-on senior mobile engineer responsible for full-stack React Native development, designing and delivering scalable, secure systems, driving spec-driven and AI-assisted workflows, writing automated tests, participating in architecture and cross-functional collaboration, and mentoring engineers.

Lead and mentor a team building cloud-native, low-latency microservices and full-stack systems using Java/Go/AWS/Angular. Drive technical modernization, collaborate with product managers, ensure regulatory compliance, and occasionally code or evaluate implementations.

Lead modernization of legacy financial systems: analyze architecture and performance, design and deploy secure high-performance C#/.NET solutions and RESTful APIs, integrate Symitar/Episys platforms, implement monitoring with Splunk/Grafana, and lead Agile teams using Azure DevOps to improve member experience and system stability.

Lead full‑stack teams to design and deliver cloud-based, microservices solutions. Mentor engineers, collaborate with product managers, and build scalable systems using Python, ReactJS, AWS, containers, and modern data tools to meet regulatory and customer needs.

Lead full-stack engineering portfolio and mentor developers to deliver cloud-based, microservices-driven solutions. Collaborate with product managers, use modern languages and container orchestration, and drive regulatory-compliant systems and tech innovation.