Top Software Engineer Jobs in Leon

Develop and maintain PHP-based backend systems, APIs, integrations, distributed services, and microservices. Apply object-oriented design, secure authentication, database architecture, caching, debugging, profiling, and performance optimization practices. Collaborate with product, architecture, QA, and support teams; participate in testing, code reviews, documentation, Agile ceremonies, and engineering reviews. Maintain code quality, security, scalability, and third-party dependency compliance while supporting reliable product delivery.

Designs and executes competitive database benchmarks, builds Python tooling and test harnesses, runs tests across cloud and database platforms, analyzes performance data, and communicates findings. The role requires expertise in distributed systems, MongoDB performance tuning, benchmarking methodologies, cloud infrastructure, and competing data platforms. It also involves technical planning, cross-functional collaboration, documentation, process improvement, and mentoring.

Build, launch, and maintain gameplay features for Driving Empire on Roblox. Responsibilities include writing performant Roblox Lua code, designing scalable systems, translating product requirements into technical tasks, collaborating with designers and artists, monitoring live features, improving reliability and workflows, participating in code reviews, and playtesting to improve player experience.

Build and operate reliable backend services for a developer-focused email platform. Responsibilities include owning features end-to-end, designing APIs and relational data models, scaling databases, building distributed systems with queues and background workers, managing AWS infrastructure, improving observability and deployments, participating in on-call, and partnering with customers and support to improve the product.

Build and operate scalable Azure-based data, analytics, automation, and tooling solutions for Microsoft's Finance Data & Experiences organization. Responsibilities include software development, infrastructure as code, Azure DevOps pipelines, observability, incident response, cost optimization, security, and production reliability. The role involves managing cloud infrastructure, automating operations, integrating AI capabilities, and collaborating with cross-functional engineering and business teams.

Develop full-stack web applications and microservices across the entire feature lifecycle. Build AI agents, LLM-powered workflows, chat interfaces, and evaluation frameworks backed by Databricks. Collaborate with product, design, and engineering teams; contribute to architecture, testing, debugging, code reviews, mentorship, and process improvement. Integrate APIs, databases, and scalable services while participating in an on-call rotation and validating user-focused outcomes.

Develop and modernize production applications using .NET, C#, AWS, and cloud-native architectures. Collaborate with architects, project managers, sales, and clients to gather requirements, make technical decisions, and deliver software solutions. Perform .NET migrations, containerization, messaging modernization, AI-driven testing, and application architecture work while expanding into additional languages, AWS services, and AI technologies. The role is fully remote and may involve up to 25% travel.

Build and architect Alpaca’s high-performance algorithmic trading platform. Responsibilities include writing backend and frontend code, designing distributed and highly available systems, optimizing low-latency and high-throughput performance, and developing scalable databases, messaging systems, concurrency controls, and service-oriented architectures. The role also involves making critical platform decisions and potentially contributing to order and risk management, trading systems, observability, cloud infrastructure, and financial ledger capabilities.

Supports system migration and modernization initiatives, configures platform solutions, develops Bash automation scripts, manages GitHub source control, performs testing and QA, analyzes system data, documents technical processes, and collaborates with engineering, operations, and business teams.

Design and build reliable, scalable backend services, search APIs, semantic and lexical search systems, and platform components serving millions of users. Collaborate with engineering, product, and QA teams to translate requirements into solutions, while improving observability, monitoring, alerting, and operational readiness. Support multi-region systems using CI/CD, infrastructure as code, containers, high availability, and disaster recovery practices.

Develops and maintains shared platform capabilities across UI components, backend services, APIs, authentication, licensing, and shared services. Responsibilities include writing tested and maintainable code, debugging across the stack, participating in technical design and code reviews, improving performance and reliability, supporting secure development, and resolving customer escalations. Requires professional software development experience with C#, .NET, TypeScript, JavaScript, web technologies, REST APIs, SQL, and relational data access technologies.

Design, build, and operate high-throughput backend services powering AI agent orchestration, connector integrations, and real-time data pipelines. Collaborate with ML, product, and front-end teams to ship AI-powered features, evolve infrastructure as code for high availability, mentor junior engineers, and contribute to documentation, testing, and reliability across the Superhuman product suite.

Build AI-powered features that automate data-driven slide decks and documents. Develop production LLM solutions using LangChain, RAG, LlamaIndex, and generative AI technologies; improve system performance and reliability; and collaborate with designers and engineers. Responsibilities span AI insights, content generation, integrations, optimization, and potentially LLM agents. The role requires advanced Python, machine learning and NLP expertise, and experience building and fine-tuning LLMs in production.

Develop and maintain MCP tools and the MCP Toolbox for Databases; expand test coverage for agentic coding assistants; refactor and maintain test frameworks; convert technical posts into production-ready sample code and documentation; build real-world data applications (QueryData) to support product R&D and collaborate with cross-functional teams to accelerate agentic AI adoption.

Senior full-stack engineer responsible for architecting, testing, and shipping end-to-end Flask/React applications. Optimize and refactor systems using Agile practices, collaborate with product and data engineering teams, and build scalable services and data-access layers to support complex financial reporting and analytics.

Develop and maintain enterprise insurance applications using the Microsoft .NET stack. Build distributed n-tier systems, RESTful APIs, and SQL Server databases; write unit tests; participate in architecture, code reviews, and Agile Scrum ceremonies; troubleshoot production issues and collaborate with product, QA, and stakeholders.

Develop and maintain cross-platform mobile applications using .NET MAUI and C#. Integrate RESTful APIs and backend services, manage SQL-based data persistence, optimize mobile performance, and troubleshoot asynchronous lifecycle issues. Collaborate with UX designers and backend engineers to deliver intuitive, reliable applications.

Build and maintain high-quality React Native mobile applications for Krak. Own feature delivery from technical design through release and iteration, create performant and maintainable UI components, write tested code, participate in reviews and design discussions, and collaborate with product, design, frontend, and Rust backend engineers. Contribute to shared components, tooling, code quality, and reliable consumer financial experiences.

Develop experimental AI techniques for agentic marketing applications, especially image and video generation. Build proofs of concept, autonomous evaluation and improvement systems, realistic AI-generated video, and brand-aligned creative generation workflows. The role requires strong quantitative and probabilistic thinking, backend architecture skills, creativity with LLM applications, and product intuition.

Build and maintain open source AI integrations, frameworks, SDK extensions, notebooks, and example applications for Backblaze B2 Cloud Storage. Contribute to public repositories through coding, reviews, issue triage, testing, documentation, and maintenance. Use AI-assisted development tools while validating security, performance, and correctness. Collaborate with Product and QA to support real-world AI workflows and strong developer adoption.

Develop and support Experlogix and V6 product configurator platforms, integrations, APIs, and custom software. Build C#/.NET back-end services, JavaScript and HTML interfaces, and SQL solutions while leveraging Azure services. Monitor operational health, troubleshoot incidents, perform root-cause analysis, coordinate vendor fixes, maintain technical documentation, and support releases, CI/CD, and deployment automation.

Design, develop, test, maintain, and optimize enterprise web applications using TypeScript and modern frontend frameworks. Build responsive reusable UI components, integrate RESTful APIs, troubleshoot issues, and improve software quality. Collaborate with backend engineers, product owners, designers, customers, QA, DevOps, and cross-functional teams throughout the software development lifecycle.

Design, develop, test, and maintain enterprise Java/Kotlin applications. Gather technical requirements, propose software solutions, collaborate with product, architecture, QA, and development teams, and produce clean, maintainable code. Troubleshoot complex technical issues and drive resolutions while applying engineering best practices. The role also involves enterprise application development with Spring Boot, REST APIs, microservices, cloud platforms, SQL databases, CI/CD, DevOps, and Agile/Scrum practices.

Own Aleph’s shared AI foundation, including model selection and routing, proxy infrastructure, context management, tool design, and evaluation systems. Ship production agentic features using prompt engineering, caching, parallel tool calls, and subagents. Build observability for agent performance, collaborate with customers and finance experts to define quality standards, and drive adoption of reliable AI systems across product teams.

Own major product surfaces across Aleph’s FP&A platform, leading features from customer discovery through launch and iteration. Build performant spreadsheet-grade interfaces over large financial datasets, design robust data models and APIs, develop AI-native features involving orchestration, tool calls, and retrieval, and improve engineering standards through high-quality code and reviews. The role requires strong full-stack fundamentals, customer engagement, technical leadership, pragmatism, and experience building complex B2B products.