Senior Frontend Engineer

Acceldata is reimagining the way companies observe their Data!

Acceldata is the pioneer and leader in data observability, revolutionizing how enterprises manage and observe data by offering comprehensive insights into various key aspects of data, data pipelines and data infrastructure across various environments. Our platform empowers data teams to manage products effectively by ensuring data quality, preventing failures, and controlling costs.

A day in the life of a Sr. Frontend Engineer

Design, develop, and maintain scalable, high-performance web applications for Acceldata’s flagship data observability platform using Angular, ReactJS, and TypeScript.

Build responsive, user-friendly interfaces and ensure cross-browser compatibility.

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

Optimize frontend applications for performance, scalability, reliability, and security.

Develop and maintain frontend tests using frameworks such as Jest, Mocha, or Jasmine.

Collaborate with cross-functional teams to define technical solutions, establish engineering best practices, and improve development and deployment processes.

Continuously enhance applications based on customer feedback, evolving business requirements, and product priorities.

Work with large and complex codebases, identify technical challenges, and make informed engineering trade-offs.

Leverage Java or Kotlin knowledge, where applicable, to contribute to full-stack development.

You are a good fit for the role if you have

Strong hands-on experience with Angular, ReactJS, and TypeScript.

Solid knowledge of HTML, CSS, and JavaScript.

Experience building scalable, responsive, and maintainable frontend applications.

Familiarity with Git and version control practices.

Strong analytical, debugging, and problem-solving skills.

Knowledge of Java or Kotlin is an added advantage.

Behavioural

Collaborative: Work effectively with cross-functional teams and communicate technical concepts clearly.

Strong decision-making: Apply rigorous thinking to technical challenges and make informed decisions while balancing competing priorities.

Adaptable: Thrive in ambiguous, fast-paced environments and adapt to evolving business and technical requirements.

Curious and eager to learn: Develop a deep understanding of the data observability domain and the problems our customers solve.

Ownership-driven: Take responsibility for delivering high-quality solutions with a high degree of autonomy.

Hands-on approach: Be comfortable working directly with complex codebases, tackling challenging technical problems, and contributing wherever needed.

Team-oriented: Encourage a healthy, collaborative work environment while maintaining high standards of engineering excellence.