Senior Software Engineer, Backend

Job Description

About Company

Welcome to Quantum Innovations Inc., a pioneering force at the intersection of Artificial Intelligence and cloud-native solutions. We are dedicated to empowering global enterprises with intelligent, scalable, and secure technology that transforms operations, accelerates innovation, and drives unparalleled growth. Our mission is to build the future of enterprise software by harnessing cutting-edge AI, machine learning, and advanced cloud architectures to solve the most complex business challenges.

At Quantum Innovations, we foster a dynamic, collaborative, and innovation-driven culture. We believe in empowering our employees with the autonomy to tackle challenging problems, learn continuously, and make a significant impact. Our values include excellence, integrity, customer-centricity, and a commitment to diversity and inclusion. We prioritize a supportive work environment that encourages bold ideas, embraces experimentation, and celebrates both individual and team successes. Join us to work on groundbreaking technology, grow your career, and contribute to a company that’s shaping the future of intelligent enterprise solutions.

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Job Description

Job Title: Senior Software Engineer, Backend

Location: Remote (US Preferred) or San Francisco, CA

About the Role:
We are seeking a highly skilled and passionate Senior Software Engineer to join our Backend Engineering team. In this pivotal role, you will be responsible for designing, developing, and deploying highly scalable, reliable, and performable backend services and APIs that power our next-generation AI and cloud solutions. You will play a critical role in architectural decision-making, ensuring the robustness and security of our systems, and mentoring junior engineers. This is an excellent opportunity for an engineer who thrives in a fast-paced environment, loves tackling complex technical challenges, and is eager to contribute to products that make a real difference for our enterprise clients.

Key Responsibilities:
• Lead the design, development, testing, and deployment of high-performance, scalable backend services and APIs using modern programming languages (e.g., Python, Go, Java) and cloud platforms (AWS, Azure, or GCP).
• Collaborate closely with product managers, frontend engineers, data scientists, and other stakeholders to define requirements, translate them into technical specifications, and deliver end-to-end solutions.
• Drive architectural discussions and decisions, ensuring our systems are performant, scalable, maintainable, and secure.
• Mentor and provide technical guidance to junior and mid-level engineers, fostering their growth and ensuring best practices are followed.
• Participate actively in code reviews, offering constructive feedback and ensuring high code quality and adherence to engineering standards.
• Troubleshoot and resolve complex production issues, demonstrating strong debugging and problem-solving skills.
• Contribute to the continuous improvement of our engineering processes, tools, and infrastructure.
• Ensure the reliability, security, and operational excellence of our backend systems.

Qualifications:
• Required:
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.
• 5+ years of professional experience in backend software development, preferably in a SaaS or cloud-native environment.
• Expertise in at least one modern backend programming language such as Python, Go, Java, or C#.
• Strong hands-on experience with cloud platforms (AWS, Azure, or GCP), including services like compute, storage, databases, and serverless functions.
• Proficiency with relational and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra, DynamoDB).
• Extensive experience designing and implementing RESTful APIs and microservices architectures.
• Solid understanding of data structures, algorithms, distributed systems, and design patterns.
• Excellent problem-solving, debugging, and analytical skills.
• Strong verbal and written communication skills, with the ability to articulate complex technical concepts clearly.
• Preferred:
• Experience with containerization technologies (Docker, Kubernetes).
• Familiarity with CI/CD pipelines and DevOps best practices.
• Experience with messaging queues (e.g., Kafka, RabbitMQ, SQS) and stream processing.
• A track record of leading technical projects or initiatives.
• Experience working with large-scale data processing or machine learning infrastructure.