Top Software Engineer Jobs

Build and scale Tamarind Bio’s computational biology platform, including infrastructure, APIs, web interfaces, ML services, and deployment systems. Partner with founders and customers to define products, ship features, operate reliable services, and support AI-powered drug discovery workflows. Responsibilities span AWS DevOps, MLOps, frontend development, HPC scaling, model deployment, architecture, coding, design reviews, and practical production operations.

Lead system design and technical vision for new software products from concept through release. Own production stability, performance, and operations while translating company goals into multi-quarter engineering plans. Serve as a hands-on technical lead, guide product and design decisions, coach experienced engineers, and influence technical direction without formal authority. The role requires full-stack expertise, especially TypeScript and React, plus experience building customer-facing products from scratch.

Design, build, and operate scalable backend services and APIs. Develop integrations, shared data APIs, metrics storage, ETL pipelines, and AI-enabled product features. Diagnose reliability and performance issues, improve developer experience, and advance engineering practices. Collaborate with engineers, clients, and non-technical stakeholders while working effectively in a fast-changing startup environment.

Develop production C++ and Python software for industrial robots used in assembly and inspection. Integrate cameras, sensors, and actuators; implement calibration, coordinate transforms, and real-time data pipelines; architect reliable multi-process and multithreaded systems; collaborate on 3D vision deployment; and build testing, debugging, and deployment infrastructure.

Develop and modernize a production React Native mobile application supporting offline-first workflows, BLE device integrations, synchronization, scalability, performance, and reliability. Design and maintain application features, contribute to architecture and engineering standards, collaborate cross-functionally, mentor developers, provide technical leadership, and engage with farm customers. Occasional travel to customer locations is required.

Build and evolve Notion’s Developer Platform, including APIs, MCP tools, integration infrastructure, and internal platform capabilities. Partner with product, design, data science, and research teams to define strategy and deliver reliable, scalable features. Own production software end to end, improve platform performance and robustness, and drive high-leverage technical investments. Help developers and customers create integrations, automations, and connected workflows.

Develops software for document ingestion, indexing, search, retrieval, data lineage, workflow orchestration, and backend processing. Builds automated testing and schema validation frameworks, supports senior technical leads in translating requirements into scalable solutions, and communicates technical progress to varied stakeholders. The role requires Python, LLM and RAG familiarity, vector database or indexing experience, automated testing knowledge, and TS/SCI/Yankee White eligibility.

Design and implement scalable backend services for MoneyGram’s core transaction and API platforms. Responsibilities include architecture, microservices, APIs, event-driven systems, integrations, cloud development, CI/CD automation, testing, deployment, operational excellence, and engineering standards. The role collaborates with product, engineering, and QA teams, mentors junior engineers, leads complex technical solutions, and influences technical direction in an agile environment.

Develop and extend Parsons DroneArmor CUAS C2 software: integrate sensors/effectors, work with APIs/ICDs, leverage CUAS AI/ML, diagnose and fix software issues, build interface messaging components, support demos and customer engagements.

Design, build, and operate backend services for partner-facing APIs and internal ML tooling. Own webhook delivery, authentication, API versioning, pagination, idempotency, database schema and query design, and production reliability. Collaborate with AI Platform and Partner Engineering on inference-serving and partner integrations. Help establish backend engineering practices, service patterns, and code review standards in a fast-moving startup environment.

Lead technical direction for Elastic’s billing experience platform. Design and evolve public and internal APIs, build full-stack billing and account-management features, and shape scalable architecture and data models. Improve reliability, observability, deployment, CI/CD, and incident response across cloud services. Mentor engineers, review technical work, influence roadmap priorities, collaborate across Product, Design, SRE, Finance, and Cloud teams, and participate in on-call rotations.

The Senior Software Engineer will design and build scalable AI/ML backend systems, develop data pipelines, and collaborate with cross-functional teams to implement ML-driven features while ensuring system performance and documentation.

Own platform-wide reliability engineering for 99.9%+ uptime. Design failover, multi-region deployments, database replication, disaster recovery, observability, synthetic monitoring, SLO alerting, incident management, chaos engineering, and resilience patterns. Build dependency mirrors and automation while influencing architecture and establishing reliability standards across teams. The role requires expertise in distributed systems, AWS, databases, Datadog, JVM performance, Java or Scala, and production operations at scale.

Leads development of secure, scalable Java backend services for wealth management. Designs, builds, tests, reviews, debugs, deploys, and operates production software using Spring Boot, microservices, messaging, databases, Kubernetes, Redis, and AWS. Drives automation, operational stability, monitoring, documentation, and secure AI-assisted engineering practices. Evaluates vendor and architectural solutions while independently resolving complex technical problems and coaching engineering teams on responsible AI usage.

Leads software engineering for a large-scale Apache Cassandra platform. Designs and delivers automation, self-service tooling, infrastructure frameworks, and cloud capabilities across private and public environments. Partners with engineering teams to improve developer velocity, code quality, resiliency, security, and customer experience. Applies AI-assisted infrastructure practices with validation, auditability, and data-sensitivity controls. Requires expertise in software development, databases, Linux, distributed systems, configuration management, and Database Reliability Engineering.

Designs, develops, and enhances Android-based camera and audio solutions for unified communications products. Integrates proprietary and third-party devices, contributes to framework and application development, troubleshoots complex field issues, creates proofs of concept, and supports full-lifecycle agile software delivery.

Leads the architecture, development, and delivery of complex software solutions across Crestron’s product ecosystem. Provides hands-on technical leadership, mentors engineers, collaborates with hardware, firmware, QA, product management, and cloud teams, and resolves complex technical challenges. Responsibilities include system design, task decomposition, risk mitigation, coding standards, technology evaluation, technical documentation, stakeholder communication, and supporting scalable, maintainable software delivery.

Leads software development within a defined product area, translating product initiatives into sequenced technical work and coordinating team execution. Manages delivery commitments, technical quality, architecture alignment, risk mitigation, and complex implementations. Provides performance management, coaching, hiring support, and technical growth for developers while remaining hands-on with high-risk features and subsystems. Partners with Product and engineering stakeholders to ensure scalable, maintainable solutions are delivered predictably.

Develop and maintain scalable ticketing web applications using Node.js and React.js. Design APIs, microservices, and distributed systems; make architecture decisions focused on performance, security, reliability, and scalability. Collaborate with product, design, and engineering teams, mentor junior engineers, document technical systems, resolve bottlenecks, fix bugs, and improve code quality. The role also supports transportation integrations, cloud messaging, continuous integration, and occasional urgent production issues.

Own the mCloud user experience and customer-facing workflows by building performant React dashboards for fleet topology, sensor telemetry, alerts, gateway management, and cross-organization administration. Collaborate with Product, Design, and Backend Engineering to deliver intuitive workflows, integrate GraphQL and REST services, use AI-assisted development tools, and improve reliability, observability, testing, and UI performance.

Develop and maintain Azure CLI features in Python or Azure PowerShell modules in C#. Responsibilities include writing scalable, documented code, participating in code reviews, collaborating with global engineering teams, contributing to open-source projects, and supporting CI/CD workflows. The role focuses on cloud platform tooling, infrastructure automation, engineering quality, performance, troubleshooting, and developer tool development.

Develop and maintain backend applications using Node.js, JavaScript, SQL, Express.js, REST APIs, and webhooks. Navigate existing architectures and codebases, troubleshoot integration issues, and work with third-party APIs and external systems. Frontend work may involve HTML, CSS, JavaScript, and React. The role requires independent problem-solving in ambiguous or evolving technical environments.

Build and own full-stack web applications using Vue 3, TypeScript, C#, .NET Core, and SQL Server. Lead front-end architecture, performance, accessibility, testing, API development, authentication, CI/CD, and production support. Establish engineering standards, conduct code reviews, mentor developers, drive technical decisions, and collaborate across the software development lifecycle. The role is hybrid in McKinney, Texas.

As an AI Native Software Engineer, you'll build products using AI coding agents, translating customer needs into solutions, and ensuring quality delivery and documentation.

As an Agentic Software Engineer, you'll build and deploy production-grade AI systems, reverse-engineer existing software, guide teams, and facilitate customer discovery.