As we continue to expand our software engineering team, we are seeking a highly experienced Software Engineer. You will work with a team of software engineers to design, develop, test and maintain software applications. The successful candidate will have a strong understanding of software architecture, programming concepts and tools, and be able to work independently to solve complex technical problems.

Key Responsibilities (Shared across Roles) :

Requirement Analysis :

- Translate business requirements into clear, actionable technical documentation that guides development and testing.

- Understand the purpose of new features and help communicate that purpose to team members.

- Create design specifications, test plans, and unit tests for individual work scope.

- Preemptively scan backlogs to surface important issues, apply relevant labels for triaging and tracking, and assist in prioritizing work.

- Understand work processes and their interdependencies to ensure seamless integration.

Development & Coding :

- Build new features or enhance existing ones based on defined specifications, ensuring scalability, maintainability, and security.

- Evaluate existing software systems to identify areas for improvement, optimization, or refactoring.

- Use profiling tools to identify and optimize inefficient code paths, memory usage, and system responsiveness.

- Design and implement software systems in accordance with software development standards

- Write clean, legible, efficient, and well-documented code.

- Ensure timely and high-quality delivery of assigned tasks, contributing to overall project success and team velocity.

Testing & Quality Assurance :

- Participate in software testing to identify, document, and resolve bugs and other issues.

- Participate in code reviews and other quality assurance activities to ensure software systems are robust and performant.

- Debug and troubleshoot complex software issues and provide timely solutions.

- Ensure adherence to software development best practices and processes.

Deployment & Maintenance :

- Perform ongoing maintenance to ensure software stability, reliability, and alignment with evolving business needs.

- Create and maintain comprehensive documentation to support development, testing, and long-term maintenance.

Collaboration & Communication :

- Collaborate with cross-functional teams to design, develop, test, and maintain software applications.

- Collaborate with business and technical stakeholders to ensure shared understanding of requirements and implementation goals.

- Communicate effectively with team members and stakeholders.

Leadership & Mentorship :

- Manage projects and initiatives with moderate complexity.

- Mentor junior team members and provide guidance.

- Help to support the work of their peers by pair programming, reviewing code, and through mentorship.

- Contribute to strategic planning and decision-making.

- Contribute to hiring and retaining top engineering talent by conducting interviews, serving as an onboarding mentor and support/mentor new hires.

Professional Development :

- Continuously improve technical skills and stay up to date with emerging technologies.

Qualifications for Data Engineering domain :

- Bachelors degree in Computer Science, Computer Engineering, or related field and a minimum of 5 years of relevant work experience in information technology (IT), software development/support and technology solutions.

- 2-4 years of experience working in a customer-facing role and leading projects.

- Proficiency in one or more programming languages (e.g., Java, Python, JavaScript).

- Proficient in SQL, relational databases and relational data modeling.

- Strong foundation in Data Structures and Algorithms (DSA) with a focus on implementing efficient solutions.

- Proven expertise in R and Python backend development, including R package creation and adherence to community best practices.

- Skills in data preprocessing, cleaning, and transformation using tools like Pandas, NumPy, and SQL.

- Experience with R object-oriented programming (R6, S3).

- Strong experience with Git, version control workflows, and working in Linux environments using command-line tools.

- Familiarity with tools such as GNU Make, Docker, GitLab CI.

- Background in clinical trial data management is a plus.