Lead Software Engineer

At Foundation AI, we are looking for a Lead Software Engineer to drive technical excellence, mentor engineering teams, and contribute to high-impact projects. This role requires strong technical expertise, leadership abilities, and hands-on development experience. The ideal candidate will collaborate with cross-functional teams to design scalable solutions and ensure best engineering practices are followed.

Responsibilities

• Technical Leadership Guide the engineering team in architecting, designing, and implementing scalable software solutions.
• Hands-on Development: Write, review, and optimize code for high-performance applications
• Mentorship and Coaching: Mentor junior and mid-level engineers, fostering a culture of continuous learning and growth.
• Code Quality and Best Practices: Enforce best practices in coding, code reviews (Self and team ), testing, security, and DevOps processes.
• Agile Development: Collaborate with Product Managers, Designers, and other Engineers in Agile environments, ensuring smooth development cycles
• System Design and Architecture: Define and implement architectural solutions, ensuring scalability, maintainability, and performance across teams. Lead high-level technical discussions and work with teams in adopting best architectural practices
• Performance Optimization: Identify and resolve performance bottlenecks in applications and infrastructure.
• DevOps and CI/CD: Work closely with DevOps teams to implement CI/CD pipelines, cloud solutions, and automation
• Stakeholder Collaboration: Communicate effectively with technical and non-technical stakeholders, ensuring alignment on goals and expectations.
• Security and Compliance: Ensure all engineering work adheres to industry security standards and compliance requirements.
• Documentation: Maintain technical documentation for reference and future development
• Responsibilities will be tailored based on the candidate's experience and expertise, aligning with Lead Software Engineer I, II, or III levels

Programming Languages

• Design, develop, test, and maintain robust, scalable, and efficient software applications using programming languages and frameworks as per our technology stack
• Ensures adherence to coding standards, best practices, and software design patterns within the team.
• Actively participates in code reviews, providing constructive feedback to improve quality, maintainability, and efficiency.
• Drives adoption of modern and appropriate development methodologies (e. g., functional programming, reactive programming, event-driven architecture).
• Mentors mid-level and junior engineers, helping them improve their programming skills and understanding of language intricacies.
• Leads company-wide programming standards, governance, and best practices, ensuring consistency across teams.
• Innovates in performance optimizations, parallel computing, and low-level system improvements.

Requirements Analysis

• Leads requirement analysis for team-level initiatives, ensuring feasibility, scalability, and alignment with system architecture.
• Ensures requirements are actionable and measurable, reducing ambiguity in sprint planning.
• Owns requirement analysis for multi-team projects, facilitating alignment across teams.
• Coaches engineers on translating requirements into robust technical designs.
• Influences requirement-setting processes across departments, advocating for engineering best practices.
• Defines requirement analysis standards for the engineering organization.

Sdlc

• Owns delivery processes for a small team, ensuring SDLC compliance and quality.
• Monitors team velocity and recommends adjustments to improve throughput.
• Champions testing strategies (unit, integration, automated).
• Leads process optimization efforts across multiple teams, enhancing SDLC efficiency.
• Coordinates cross-functional delivery, resolving bottlenecks in development and releases.
• Works closely with engineering managers to improve estimation accuracy and delivery timelines.
• Defines team-level SDLC standards and drives adoption across projects.
• Evaluates and implements new tools to improve build, test, and deployment processes.

Technical Competency

• Architect solutions, oversees implementation.
• Ensures technical excellence, guides system design.
• Defines technical strategy, mentors teams on complex solutions.

Unit Testing

• Drives testing best practices, ensures test coverage across projects.
• Introduces automated testing strategies, mentors on test design.
• Establishes quality frameworks, drives test-driven development adoption.

Estimation

• Leads estimation for complex projects, validates team estimates.
• Refines estimation processes, trains teams on accurate estimates.
• Establishes estimation best practices, aligns teams on estimation standards.

Problem-solving

• Diagnoses and fixes common bugs.
• Resolves integration and performance issues.
• Develops systemic solutions for recurring technical problems.

Critical Thinking

• Evaluates the technical feasibility of tasks.
• Assesses architectural implications and trade-offs.
• Guides team decision-making aligned with long-term objectives.

Effective Communication

• Suggest the enhancement based on the feedback from the users.
• Works within their team and with their business stakeholders to foster a culture of seeking out feedback and using it as a tool for growth.
• Actively demonstrates these behaviors.
• Fosters a culture of delivering praise and constructive feedback within their team and the team's respective business stakeholders.
• Communicates design choices, technical challenges, and influences stakeholders and ensures team alignment.

Leadership

• Leads a project or feature team, coordinating tasks and ensuring delivery.
• Mentor engineers, promoting knowledge sharing, driving best practices, and ensuring technical alignment.
• Drives technical initiatives across teams, enabling teams to deliver complex solutions while fostering a culture of innovation.
• Collaboration and knowledge sharing.

Ownership

• Takes ownership of a module or subsystem, ensuring quality delivery.
• Ensures delivery of end-to-end features, managing risks and dependencies.
• Owns the success of multiple features or systems, proactively driving improvements and ensuring long-term system health.

This job was posted by Neha Sharma from Foundation AI.