Hivel

Benefits:

• 0-1 Journey

• Health insurance

• Equity

• Learning stipend

• Generous leave policy

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience

Experience Requirements:

• 2-3 years of experience in front-end development with a strong focus on React.js

Other Requirements:

• Proficiency in HTML, CSS, JavaScript, and modern libraries/frameworks (e.g., Redux, TypeScript)

• Experience in optimising performance for React applications

• Exposure to RESTful APIs and/or GraphQL

• Strong problem-solving skills and cognitive abilities, with the ability to think creatively and work independently

• Solid understanding of responsive design, cross-browser compatibility, and web standards

• Familiarity with Git and collaborative workflows

• Strong attention to detail and commitment to delivering high-quality code

• Leverages AI tools in the development to increase the productivity

Responsibilities:

• Develop, test, and deploy user interfaces for a React-based web application.

• Collaborate with designers to translate UI/UX designs into interactive and visually appealing interfaces.

• Optimise applications for maximum speed and scalability, ensuring compatibility across devices and browsers.

• Build reusable code and libraries for future use, maintaining consistency across the application.

• Debug and troubleshoot issues to ensure the highest quality user experience.Conduct code reviews and maintain the highest standards of code quality.Contribute to product discussions, bringing a user-centred perspective to decision-making.

Benefits:

• 0-1 Journey

• Health insurance

• Equity

• Learning stipend

• Generous leave policy

Experience Requirements:

• 7+ years of experience in data engineering or data architecture, with at least 3 years in a hands-on technical leadership or architecture role

Other Requirements:

• Extensive hands-on experience with Python, SQL, and big data frameworks like Apache Spark or Hadoop

• Comfortable jumping into complex technical problems and providing innovative solutions

• Expert-level experience with cloud platforms (AWS, Azure, GCP) and hands-on experience with data tools such as Redshift, BigQuery, Snowflake, or Synapse

• Proven expertise in building and optimizing data pipelines using tools like Apache Airflow, Azure Data Factory, dbt, Fivetran, and other ETL/ELT frameworks

• Experience with real-time data streaming platforms (e.g., Kafka, Kinesis, Flink), with a focus on building and maintaining low-latency, high-throughput systems

• Extensive experience in designing and implementing data models for both operational databases and data warehouses, including dimensional modeling and data vault techniques

• Strong communication and leadership abilities

• Able to motivate and guide teams to success, while fostering a culture of collaboration, learning, and technical excellence.

• Ability to tackle complex problems and quickly iterate on solutions

• Proven experience in setting strategic direction and executing on technical initiatives

Responsibilities:

• Lead the design and implementation of web front-end and back-end architecture to ensure consistency and scalability across all features.

• Perform detailed technical architecture and design reviews to maintain high standards.

• Architect, design, and develop data pipelines and infrastructure components.

• Write high-quality, production-level code in Java, Python, SQL, and implement big data frameworks like Apache Spark.

• Work with cloud data platforms such as Redshift, Snowflake, etc., ensuring solutions are scalable, secure, and efficient.Develop innovative no-code and low-code solutions using AWS or existing managed services to quickly innovate and implement AI solutions, leveraging RAG (Reasoning and Generalization), AI agent architectural frameworks, and other emerging technologies.Oversee the architecture and implementation of web features, reviewing PRs, sharing best practices, and mentoring engineers on technical solutions.Help deliver highly performant and available features while managing the overall health and quality of the codebase.Mentor senior engineers, helping them elevate their technical skills and continuously raising the engineering bar across the organization.Conduct rapid proof-of-concept (POC) experiments to set direction for the engineering team.Design and develop seamless integrations between multiple data sources, ensuring smooth data availability across the organization.Lead the optimization of cloud-based data platforms, such as AWS, Azure, or GCP, focusing on real-time streaming platforms like Apache Kafka, Kinesis, or Dataflow.Architect and implement real-time data pipelines, ensuring low-latency, high-throughput data processing.Focus on building and maintaining high-performance systems that cater to the organization's real-time data needs.Establish automated data validation and testing frameworks, ensuring accuracy, completeness, and reliability in data processing.Communicate architectural decisions, solutions, and approaches to senior leaders and other teams, gaining consensus and support for critical initiatives.Actively manage, coach, and motivate the engineering team.Foster a collaborative and high-performance culture that emphasizes accountability, ownership, and continuous improvement

Benefits:

• Competitive salary and optional equity

• Health insurance for you and your family (spouse and children)

• Generous vacation policy and paid holidays like family leave, medical leave, and bereavement leave policies

Education Requirements:

• Bachelor's degree

Experience Requirements:

• 1-2 years of experience in Customer Success, preferably within the SaaS industry, engaging with Mid-Market/Enterprise clients

Other Requirements:

• Exceptional communication skills; adept at ensuring client satisfaction and engagement

• Willing to learn the product and tech in depth

• Enthusiastic problem solver with a keen interest in data analysis

• Comfortable and skilled in client communication

Responsibilities:

• Engage with clients during free trial stage and onboarding to showcase the full value of Hivel.

• Provide continuous technical support, addressing inquiries and resolving minor issues.

• Collaborate with the sales team to facilitate technical discussions with clients.

• Utilize SQL queries for ad-hoc reporting and pattern analysis, sharing actionable insights.

• Cultivate strong client relationships, gaining a deeper understanding of their processes and offering best practices for enhanced engineering efficiency.Work closely with the tech and customer success teams to ensure client success while aligning with the product roadmap and technical team workflow