Top Software Engineer Jobs in Tijuana

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 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.

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.

Design and build production-grade agentic workflows and applications using Java, Spring Boot, React, and AI orchestration patterns. Develop reusable approaches for tool use, context, memory, multi-agent collaboration, evaluation, observability, security, and governance. Integrate agents across software development and operational workflows, mentor engineers, and guide agentic technical strategy. Build reliable, scalable systems with permissions, audit trails, failure recovery, and human-in-the-loop processes.

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.

Design, build, and maintain end-to-end full-stack applications using Python (Flask) and React. Optimize and refactor systems, collaborate with product and data engineering teams to extract, parse, and serve large-scale financial analytics and visualizations.

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.

Build and maintain Python backend services supporting payment processing, risk controls, and financial transaction flows. Contribute to scalable architecture, cloud-native solutions on GCP, reliability improvements, production troubleshooting, CI/CD, observability, and developer tooling. Collaborate with product managers, designers, and engineers to deliver secure, performant, and maintainable systems.

Develop server-side APIs for user authentication and data management, utilizing AI-assisted tools while ensuring code quality and addressing customer issues at scale.

The Back-End Engineer will design and develop scalable services in a Java ecosystem, integrate AI tools, diagnose issues, and provide technical leadership.

Design and implement robust Rust services and foundational libraries for Kraken’s core infrastructure. Build scalable, observable, secure, and fault-tolerant distributed systems supporting trading and internal platforms. Collaborate on architecture, debug issues across the operating system, network, and application stack, and take end-to-end ownership of long-lived systems and libraries.

Supports the software development lifecycle by designing, developing, documenting, testing, and deploying software solutions. Works with engineering teams to build features, evaluate development tools and processes, monitor metrics, support software system usage, and maintain compliance with project plans and industry standards. The role involves frontend SPA development, backend API development, relational databases, and leveraging AI tools such as Claude.