***This is an unpaid internship at this time and is suitable for new recent Master's graduate candidates that wants to be a Senior Back-End Engineer Team Lead.***
***This is an unpaid internship at this time and is suitable for new recent Master's graduate candidates that wants to be a Senior Back-End Engineer Team Lead.***
***This is an unpaid internship at this time and is suitable for new recent Master's graduate candidates that wants to be a Senior Back-End Engineer Team Lead.***
Company Overview:
Flow Global Software Technologies, LLC., operating in the Information Technology (IT) sector, is a cutting-edge high-tech enterprise AI company that engages in the design, engineering, marketing, sales, and 5-star support of cloud-based SaaS AI sales platforms, with patent pending artificial intelligence, deep learning, and other proprietary technologies awaiting patent approval. The company's first product, Flow Turbo™, is a future-generation SaaS AI sales prospecting platform that is designed to maximize the productivity day-to-day for B2B sales reps within B2B outbound, inbound, and inside sales organizations. The company also provides world-class award-winning customer support, professional services, and advisory services. The company is headquartered in Austin, Texas and is registered in Delaware.
Position Overview:
Flow is seeking highly experienced and highly dedicated Senior Back-End Team Lead Interns to join our world-class engineering organization. This role is designed for someone who is an expert with building real-time, resilient, scalable back-end systems and offers a unique opportunity to work on Flow's AI solutions. You will play a key role in designing and developing the back-end infrastructure, contributing to the architecture of a cutting-edge, enterprise AI solutions.
As a Senior Back-End Team Lead Intern, you will need to have unparalleled experience and expertise in designing, building, and optimizing real-time, high-performance, and scalable back-end systems. This role demands mastery in architecting high-performance server-side infrastructures that seamlessly integrate with Flow’s AI solutions, ensuring ultra-low-latency communication, fault tolerance, and the efficient handling of concurrent operations at scale. The successful candidate will play a pivotal role in engineering complex, mission-critical back-end frameworks while working at the cutting edge of real-time data processing, advanced caching mechanisms, and API development. This position offers an unparalleled opportunity to influence the architecture of enterprise-grade AI solutions, leveraging the latest advancements in cloud-native technologies, containerized deployments, and scalable data-driven pipelines.
As a Senior Back-End Team Lead Intern, you will lead an engineering Scrum team tasked with implementing production-grade back-end systems optimized for high-throughput operations. Your work will focus extensively on Django as the back-end framework, where you will design robust, modular, and extensible API architectures. This includes creating RESTful API endpoints, optimizing API routes, handling complex API integrations, and ensuring secure and performant real-time API connections using WebSockets or similar technologies. Your ability to implement advanced API call patterns, such as batching, rate-limiting, and fault-tolerant retries, will be essential for maintaining the stability and scalability of distributed systems. Furthermore, you will design dynamic middleware layers and leverage reverse proxies like Nginx to ensure secure, load-balanced, and efficiently routed API traffic.
A key aspect of this role involves implementing state-of-the-art caching strategies to optimize real-time data retrieval and processing. You will work with technologies like Redis to implement real-time caching solutions for session management, query caching, and data prefetching, ensuring minimal latency across all system layers. Advanced caching techniques, such as cache sharding, partitioning, and write-behind caching, will be crucial for maintaining consistency and accelerating response times in high-concurrency scenarios. Additionally, you will implement efficient in-memory data stores to support real-time analytics and instantaneous data updates across distributed nodes.
Database management will involve designing high-performance schemas in PostgreSQL and optimizing queries for transactional and analytical workloads. You will engineer solutions for efficient data partitioning, replication, and indexing to handle terabytes of data with minimal overhead while ensuring ACID compliance. Moreover, you will implement robust data flow pipelines, employing ETL techniques and data streaming frameworks to enable real-time synchronization across microservices. Expertise in handling multi-cloud database integrations and deploying fault-tolerant solutions with automatic error handling mechanisms will also be key to success.
Your role will further encompass implementing comprehensive authentication and authorization protocols, including OAuth2.0, JWT, and SSO, ensuring secure access to APIs and sensitive resources. You will enhance system security by designing and enforcing encryption standards, audit trails, and role-based access controls, aligning with industry best practices for compliance and data protection. Additionally, your expertise in continuous integration and delivery pipelines will drive seamless cloud-based deployments, with experience in containerization technologies like Docker and orchestration platforms like Kubernetes being integral to achieving high system reliability and scalability.
This position demands rigorous adherence to quality assurance practices, including designing unit, integration, and regression test suites for back-end services and APIs. You will also implement real-time monitoring and observability frameworks, leveraging tools such as SonarQube, Prometheus, and ELK stacks to ensure proactive fault detection and resolution. A deep understanding of Linux-based environments and scripting languages for automating server management will round out your skill set.
Ideal candidates for this role will have a demonstrated track record of successfully solving highly complex engineering challenges, managing real-time system integrations, and delivering on scalable back-end solutions in live production environments. This role is designed for engineers ready to push engineering boundaries, applying advanced engineering principles to create back-end systems that power enterprise-grade AI solutions. This position is ideal for recent graduates that have obtained a Master's degree in Computer Science, with 5+ years of deep professional industry experience in Django and back-end engineering, looking to take their back-end engineering expertise to the highest level. The internship is remote-only and requires a commitment of at least 30 hours per week.
***MUST BE ABLE TO COMMIT STAYING AT THE COMPANY FOR AT LEAST A BARE MINIMUM OF 6 MONTHS.***
Key Responsibilities:
Qualifications:
Benefits:
Note:
This internship offers an exciting opportunity to gain hands-on experience in back-end engineering within a high pressure and innovative environment. Candidates must be self-motivated, proactive, and capable of delivering high-quality results independently. The internship provides valuable exposure to cutting-edge technologies and real-world software development practices, making it an ideal opportunity for aspiring back-end engineers.
***This is an unpaid internship at this time and is suitable for new recent Master's graduate candidates that wants to be a Senior Back-End Engineer Team Lead.***
Please send resumes to services_admin@flowai.tech