Top Software Engineer Jobs

As a Full Stack Software Engineer at Thatch, you will manage full-stack product areas from design to production, ensuring system reliability and user satisfaction while adhering to complex business logic and regulatory requirements.

Lead and mentor an engineering team while defining architecture and technical strategy for secure, scalable FinTech applications. Design, develop, and deploy Java microservices using Spring Boot, Hibernate, REST APIs, cloud platforms, Docker, and Kubernetes. Oversee CI/CD, Agile and DevOps practices, database performance, high-volume data processing, payment tokenization, security, regulatory compliance, and integrations with payment ecosystems such as MDES. Collaborate with product, program, and business leaders to align technical delivery with organizational goals.

Develop software tools for future Ambarella embedded processors used in computer vision and intelligent automotive applications. Design and implement compiler language features, performance optimization tools, and related development capabilities. Collaborate with scientists, architects, and software and hardware teams to optimize chip performance. Work independently within a small R&D team.

Design, develop, test, and maintain PKI software across Red Hat Certificate System and Dogtag. Integrate PQC algorithms, HSMs, and ACME automation; collaborate with product engineering and government teams; own issues end-to-end and contribute to CI/CD, testing, and release quality while communicating status to stakeholders.

Design, develop, deploy, and maintain enterprise GIS applications and databases. Build custom tools for geospatial intelligence workflows, troubleshoot technical issues, recommend technologies, and support distributed processing and streaming geospatial data to meet mission requirements.

Build, release, and maintain native Android features in Kotlin; collaborate with product, design, and backend; run experiments and mentor junior engineers; design maintainable APIs and write testable code.

Design and build real-time risk decisioning and tooling to prevent payments fraud. Implement fraud signals at scale, manage dispute and chargeback workflows, monitor metrics (loss, dispute, approval, false positives), lead investigations into emerging fraud patterns, and collaborate cross-functionally with finance, support, legal, data science, and external payment partners.

Design and implement CUDA/C++ libraries to accelerate Apache Spark DataFrame and I/O operations, collaborate on distributed multi-node GPU solutions, contribute to open-source projects (RAPIDS, CCCL, UCX), and drive testing, CI, and cross-platform optimization for enterprise deployments.

Design, develop, integrate, and test simulation and flight-training software. Participate in full SDLC within Agile teams, architect simulated training applications, collaborate with multidisciplinary teams, and resolve system capability and integration issues for mission-critical defense platforms.

Designs, implements, tests, and supports retail software features and integrations (POS, payments, promotion engines). Participates in Agile planning, mentors junior engineers, troubleshoots production issues, and tracks emerging technologies.

Lead Elasticsearch search relevance initiatives, designing and implementing search features, algorithms, data structures, and vector search capabilities. Improve performance, scalability, and relevance; resolve complex bugs; contribute to Lucene; collaborate with globally distributed engineers and open-source contributors; and provide technical direction. The role requires modern Java development, autonomous project ownership, code review, asynchronous communication, and expertise with search or vector databases at scale.

Design and build Go-based control-plane services, CSI drivers, storage integrations, observability tools, and infrastructure automation for Kubernetes AI platforms. Integrate enterprise and scale-out storage, support bare-metal and hybrid provisioning, and deliver declarative Terraform/OpenTofu and GitOps workflows. Architect reliable storage solutions for Kubernetes clusters, air-gapped environments, and sovereign infrastructure, including artifact mirrors and PKI/TLS.

Lead development of Runware’s AI platform, including scalable backend APIs, SDKs, developer tools, and inference orchestration systems. Design high-performance distributed architectures, optimize image and video model integrations, improve reliability and observability, shape technical direction, and mentor engineers. Collaborate across platform, infrastructure, and product teams to deliver robust developer experiences and maintainable systems.

Leads application engineering for an AI-powered email product, owning backend, mobile, and desktop architecture. Designs reliable AI workflows with orchestration, state management, retries, fallbacks, and failure handling; builds APIs connecting AI capabilities to product experiences; and leads a senior engineering team through architectural decisions, reviews, mentorship, and production excellence. Partners with ML leadership to ship scalable, observable, secure, and reliable systems while balancing latency, cost, user experience, and maintainability.

Lead the architecture and development of reliable AI-powered email applications across backend, mobile, and desktop platforms. Design APIs and workflow systems supporting orchestration, state, tool use, retries, fallbacks, and failure handling. Lead a small senior engineering team, make architectural trade-offs, mentor engineers, and establish strong production practices including observability, monitoring, testing, scalability, security, and operational excellence. Partner with ML leadership to deliver robust, high-quality product experiences.

Lead the design and development of mission-relevant software, build backend services and APIs, mentor engineers, and support technical demos.

Design, develop, optimize, and debug ultra low-latency C++ streaming systems and media pipelines (WebRTC, GStreamer, RTP). Analyze performance across CPU, memory, networking, and scheduling. Integrate streaming software with platform services across Windows, Linux, QNX, and embedded platforms. Define KPIs for networking and streaming quality and troubleshoot across software, OS, platform, and hardware boundaries.

Design, build, and operate scalable distributed backend services (Node.js/TypeScript, Python/FastAPI) using event-driven patterns. Ship end-to-end features including frontend when needed, integrate LLMs reliably, improve CI/CD and developer tooling, lead architecture and mentor engineers, and ensure system reliability, observability, and scalability on Kubernetes/AWS.

The role involves leading initiatives for vector search in Elasticsearch, enhancing features, resolving bugs, and contributing to community engagements in a distributed team setting. A strong background in vector similarity and Java is crucial.

Lead technical direction and hands-on execution for major software products and systems. Design scalable architectures across backend, frontend, APIs, databases, and infrastructure; write code; drive architecture decisions; solve production issues; improve testing, security, observability, and development practices; lead critical initiatives; and mentor engineers across distributed international teams.

Owns technical direction and hands-on execution for major products and systems. Designs scalable backend, frontend, API, database, and infrastructure solutions; writes code; leads architecture decisions; resolves production issues; improves engineering quality; drives critical initiatives; and mentors engineers across teams.

Owns technical direction and hands-on execution for major products and systems. Designs scalable backend, frontend, API, database, and infrastructure solutions; writes code; drives architecture decisions; leads critical initiatives from design through production; improves engineering quality through testing, security, observability, and development practices; and mentors engineers across teams.

Design, build, and operate high-scale, highly available payment APIs and distributed services using Java and Spring Boot. Integrate global payment channels, safeguard user assets through consistency, idempotency, reconciliation, and recovery mechanisms, and resolve complex distributed-systems issues. Collaborate across product, design, and partner teams, contribute to technical standards through design and code reviews, mentor engineers, and own systems from design through production.

Build and operate high-scale cloud services that ingest, transform, store, and distribute geospatial and weather data. Modernize legacy systems, integrate AI and LLM workflows, improve platform reliability, optimize costs, maintain security compliance, and support multiple concurrent initiatives from design through production. Collaborate with product, operations, science, technology teams, and enterprise clients in a mission-critical 24x7 environment.

Develop and own backend features for the Payments & Partnerships domain using server-side Kotlin/Java (or similar). Collaborate with product, marketing, and frontend teams from design through production. Produce clean, testable code with high test coverage, deploy via CI/CD, and leverage AI/LLM tools to improve developer productivity.