Technical Lead

About ZimeAI

Senior Software Engineer (Technical Lead)

Role

As a Senior Software Engineer (Technical Lead), you will be responsible for leading product development end-to-end—design, architecture, implementation, release, and operations. You will serve as a trusted mentor to the team, enabling engineers to grow their skills while ensuring the delivery of impactful, production-ready solutions. You will thrive in ambiguity, operate well under uncertainty, and balance strategic thinking with execution.  

Key Responsibilities

• Lead the design, development, and release of high-quality software products with a focus on performance, reliability, and scalability.  
• Guide, mentor, and inspire a team of engineers to solve complex technical problems with curiosity and rigor.  
• Drive engineering best practices including code quality, testing strategies, CI/CD, observability, and monitoring across the lifecycle.  
• Foster a culture of collaboration, feedback, knowledge-sharing, and accountability.  
• Work closely with product, design, and business stakeholders to translate ideas into technical solutions and shipped products.  
• Operate effectively in a fast-paced, often unstructured environment, making independent and robust technical decisions.  
• Identify, evaluate, and adopt the right tools/frameworks/languages needed to solve evolving business and technical problems.  
• Establish strong engineering principles around system design, architecture, and release processes.  
• Champion monitoring, incident management, and production-readiness, ensuring faster detection and resolution of issues.  
• Balance immediate execution needs with long-term technical vision, scaling systems and processes as the company grows.  

What We Are Looking For

• 7+ years of software engineering experience, with at least 2–3 years in a tech lead or senior role.  
• Deep expertise in modern programming languages and frameworks (e.g., Python, Java, Go, Node.js, React, etc.).  
• Strong understanding of distributed systems, microservices architectures, databases, and system design principles.  
• Hands-on experience building resilient, observable, and highly-available systems in production environments.  
• Proven ability to thrive in chaos—adaptable, decisive, and proactive in environments with uncertainty and changing priorities.  
• Track record of leading engineering initiatives from conception to delivery in a fast-paced startup or scale-up.  
• Strong problem-solving skills with ability to break down complex challenges into achievable outcomes.  
• Excellent collaboration and communication skills, able to bridge the gap between technical and non-technical teams.  
• Passion for mentoring and developing engineers by leading through example.  
• Growth mindset with eagerness to learn, experiment, and improve continuously.  

Nice to Have

• Previous experience in an early-stage startup.  
• Exposure to cloud platforms (AWS, GCP, or Azure), DevOps, containerization (Docker/Kubernetes), and observability stacks.  
• Understanding of AI/ML workflows or interest in working at the intersection of AI and software engineering.  

What We Offer

• Opportunity to shape the future of AI technology and make a meaningful impact.  
• A high-growth startup environment with autonomy and ownership.  
• Highly collaborative team culture where your voice matters.  
• Competitive compensation with equity options.  
• Flexibility with hybrid-friendly work culture.