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The role involves deploying and configuring Azure cloud services while automating infrastructure using Infrastructure as Code (IaC) practices. Additionally, the candidate will build and maintain CI/CD pipelines, implement monitoring solutions, and manage disaster recovery and security protocols.
You will build and maintain reliable, high-impact features for a logistics platform to improve daily operations for drivers and dispatchers. You will also collaborate with cross-functional teams to deliver end-to-end solutions while ensuring high code quality and system performance.
The role involves designing, developing, and maintaining scalable backend services and robust APIs using Python frameworks. Additionally, the developer will build data pipelines and integrate artificial intelligence models, including LLMs, into business solutions.
Design and evolve serverless solutions using AWS Lambda while contributing to the development of APIs and back-end services. Ensure the creation of scalable, secure, and efficient systems by applying best practices in performance and observability.
Collaborate with multidisciplinary teams to design, develop, and maintain high-quality software solutions using Python and Angular. Integrate and optimize databases, manage cloud-based applications on AWS, and contribute to the development of APIs and AI-driven features.
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The developer will be responsible for the full software development lifecycle, from requirements gathering to deployment, using agile methodologies. They will also provide technical guidance to the team, perform system maintenance, and ensure high-quality code through testing and documentation.
The Lead Python Engineer will design, build, and enhance complex enterprise-grade applications and data-intensive services. They will collaborate with product and infrastructure teams to translate business problems into robust, high-performance technical solutions.
You will design and implement scalable AI and agentic workflows while maintaining high-quality, secure, and performant code. You will also partner with leadership to translate business requirements into technical solutions and remediate technical debt.
You will be responsible for building and maintaining a production-grade Backend for Frontend (BFF) service using FastAPI to support mobile applications. Additionally, you will act as a technical leader, collaborating with cross-functional teams and assessing existing codebases to ensure high-quality software delivery.
Responsible for the development, maintenance, and testing of APIs and microservices architecture. The role involves working with AI tools and participating in projects using agile practices.
You will partner directly with clients to understand complex business challenges and design custom technical solutions. This role involves integrating modern AI capabilities into real-world applications and managing the full lifecycle from discovery to deployment.
Develop and execute data and cloud migration frameworks to transition on-premise assets to Snowflake and Azure platforms. Collaborate with cross-functional teams to maintain software solutions, ensure code quality, and drive innovation in enterprise AI products.
Develop and implement data and cloud migration frameworks to transition on-premise assets to Snowflake and Azure platforms. Collaborate with cross-functional teams to maintain infrastructure, ensure high-quality software delivery, and participate in agile ceremonies.
Develop and maintain data and cloud migration frameworks to transition on-premise assets to Snowflake and Azure. Collaborate with cross-functional teams to design, test, and launch scalable software solutions while adhering to agile methodologies.
You will design and build backend services and REST APIs using Python and FastAPI while maintaining frontend features with React. Additionally, you will manage microservices-based systems architecture and deploy distributed applications within Kubernetes environments.
Design, build, and maintain automated test suites for a complex microservices-based surgical intelligence platform using Python and Playwright. Collaborate with engineering teams to translate structured specifications into effective test coverage within AI-assisted development workflows.
You will work directly with clients to identify, prototype, and deploy AI-powered solutions to address complex business challenges. This involves designing scalable architectures, integrating LLMs and enterprise systems, and iterating on solutions based on real-world user feedback.
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You will collaborate with cross-functional teams to develop, test, and deploy high-quality features across the Angular frontend and Python backend. Additionally, you will participate in code reviews, task planning, and incident response efforts to maintain software quality.
You will take end-to-end ownership of features, from architecture and design to deployment and support. You will also collaborate with cross-functional teams to build high-quality software while driving task planning and code reviews.
You will lead technical direction and mentor team members across both the Angular frontend and Python backend. Additionally, you will take ownership of complex features and architectural decisions while fostering a culture of collaboration and quality.
The Software Engineer will design and build backend services, data pipelines, and simulation capabilities for a healthcare-focused modeling application. They will own features from initial design through deployment while collaborating with subject-matter experts and utilizing cloud-native AWS workflows.
You will design and build end-to-end features for a reporting web application using a Python backend and React/TypeScript frontend. Additionally, you will integrate AI-powered features and manage cloud infrastructure using containerization and CI/CD pipelines.
You will design, build, and maintain integrations that connect the platform to third-party network systems and controllers. Additionally, you will develop discovery agents and services to extract and deliver network data while applying AI-assisted engineering practices.
Design, develop, and maintain backend services using Python and FastAPI while collaborating with cross-functional teams to deliver end-to-end solutions. Manage containerized deployments, CI/CD workflows, and ensure system scalability and performance in a customer-facing delivery role.
Design, develop, and maintain high-performance REST APIs and microservices using FastAPI. Collaborate with frontend teams while integrating AI-assisted development methodologies and managing containerized deployments on Kubernetes.
Design, build, and maintain scalable web applications while owning features end-to-end from technical design to deployment. Collaborate with cross-functional teams to deliver high-quality code and mentor junior engineers.
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The engineer will debug complex issues across Python applications and platform integrations while building tooling to improve developer workflows. They will partner with platform teams to turn recurring technical pain points into scalable, high-quality platform capabilities.
You will work on building AI-native products and intelligent agents for enterprise clients across various industries. The role involves leveraging the HelixAI platform and Helix Pods delivery model to perform open, portable, and durable engineering work.
Lead the design and development of scalable Python backend services and APIs on AWS while managing PostgreSQL databases. Mentor backend engineers and facilitate communication with client stakeholders to ensure high-quality project delivery.
Evaluate the quality and reasoning of AI-generated coding interactions to ensure they align with high-level engineering standards. Provide clear, opinionated feedback on the effectiveness and trust-worthiness of AI responses in real-world scenarios.
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