Senior Software Engineer, Backend

Job Description

About the Company

At InnovaTech Solutions, we are pioneers in creating transformative AI-driven software that redefines how businesses operate. Founded on the principle of leveraging cutting-edge technology to solve complex real-world problems, InnovaTech has rapidly grown into a recognized leader in enterprise AI solutions. Our mission is to empower organizations with intelligent automation, predictive analytics, and insightful data visualization to drive efficiency, foster innovation, and achieve sustainable growth.

We cultivate a dynamic and inclusive work environment where creativity thrives, and every team member is encouraged to push the boundaries of what’s possible. Our culture is built on collaboration, continuous learning, and a shared passion for technological excellence. We believe in investing in our people, offering ample opportunities for professional development, mentorship, and career advancement. InnovaTech Solutions is committed to diversity, equity, and inclusion, recognizing that a variety of perspectives strengthens our team and enriches our products. Join us in building the future of intelligent technology, where your contributions directly impact global enterprises.

Job Description

Job Title: Senior Software Engineer, Backend

Overview:
We are seeking a highly skilled and experienced Senior Software Engineer to join our Backend Development team. In this pivotal role, you will be instrumental in designing, developing, and maintaining scalable, high-performance, and robust backend services that power our next-generation AI platforms. You will work within a cross-functional agile team, contributing to all phases of the software development lifecycle, from conceptualization and design to deployment and operational support. This position requires a deep understanding of distributed systems, microservices architecture, and a strong commitment to code quality and best practices.

Key Responsibilities:
• Design and Development: Lead the design, development, and implementation of complex backend services and APIs for our core AI products, ensuring high availability, scalability, and performance.
• Architecture & Best Practices: Contribute significantly to architectural discussions, define technical standards, and advocate for best practices in coding, testing, and deployment.
• Code Quality: Write clean, maintainable, and efficient code in primary languages such as Python, Go, or Java, ensuring comprehensive test coverage (unit, integration, end-to-end).
• System Optimization: Identify and resolve performance bottlenecks, troubleshoot complex production issues, and optimize existing systems for improved efficiency and reliability.
• Collaboration: Work closely with product managers, data scientists, front-end engineers, and other stakeholders to translate business requirements into technical specifications and deliver innovative solutions.
• Mentorship: Provide technical guidance and mentorship to junior and mid-level engineers, fostering a culture of continuous learning and growth within the team.
• Deployment & Operations: Participate in the deployment process, build tools for automation, and provide operational support for services in production environments, adhering to DevOps principles.
• Research & Innovation: Stay abreast of emerging technologies and industry trends, evaluating their potential application to our products and contributing to the company’s innovation strategy.

Qualifications:
• Experience: 5+ years of professional experience in backend software development, with a strong portfolio of building scalable, production-grade applications.
• Programming Languages: Expert proficiency in at least one of the following: Python, Go, or Java. Experience with multiple is a plus.
• Backend Technologies: Extensive experience with designing and implementing RESTful APIs, gRPC, and message queues (e.g., Kafka, RabbitMQ).
• Databases: Strong command of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra, Redis).
• Cloud Platforms: Hands-on experience with major cloud platforms (AWS, Azure, or GCP) and understanding of cloud-native development practices.
• Microservices & Distributed Systems: Proven experience with microservices architecture, distributed system design patterns, and inter-service communication.
• Containers & Orchestration: Proficiency with Docker and Kubernetes.
• Testing: Deep understanding of testing methodologies and experience writing robust unit, integration, and end-to-end tests.
• Version Control: Strong experience with Git and collaborative development workflows.
• Problem-Solving: Excellent analytical and problem-solving skills, with a track record of tackling complex technical challenges.
• Communication: Strong verbal and written communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.

Preferred Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• Experience with big data technologies (e.g., Spark, Hadoop).
• Familiarity with machine learning concepts and MLOps principles.
• Experience with continuous integration/continuous deployment (CI/CD) pipelines.
• Contributions to open-source projects or active participation in technical communities.