Intermediate Software Engineer - Data and Streaming

To thrive as an Intermediate Software Engineer at Jobber, candidates should have a solid understanding of relational and NoSQL databases, real-time data streaming frameworks like Kafka or RabbitMQ, and experience managing cloud-based data services. Proficiency in DevOps practices related to data infrastructure is also crucial, allowing for enhanced performance, security, and efficiency in data handling.

The role of an Intermediate Software Engineer at Jobber involves collaborating with various teams to build scalable data solutions that power our application. You'll handle everything from real-time streaming systems to complex data pipelines, ensuring that data security, scalability, and performance are at the forefront of our operations.

The work culture for an Intermediate Software Engineer at Jobber is inclusive, collaborative, and supportive. Employees are encouraged to take ownership of their roles and contribute to the company’s success. Our values, including being humble and supportive, are integral to daily operations, ensuring a fulfilling and productive work environment.

Jobber is deeply committed to professional development. As an Intermediate Software Engineer, you'll have access to onboarding resources, tutorials, hackathons, and mentorship opportunities. We have dedicated Talent Development initiatives in place to help you achieve your career goals and reach your fullest potential.

As an Intermediate Software Engineer at Jobber, you'll work with cutting-edge technologies including relational and NoSQL databases like Aurora Postgres and Elasticsearch, real-time data streaming frameworks, and AWS cloud services. You'll also engage in using data lifecycle management tools and strategies to drive our data infrastructure forward.

Jobber fosters an innovative environment for its Intermediate Software Engineers to explore new technologies and approaches in the data space. You'll have the opportunity to research and advocate for emerging technologies, ensuring our data ecosystem stays ahead of the curve, all while making impactful contributions to small businesses.

Jobber offers a comprehensive benefits package for Intermediate Software Engineers, including health benefits with fully paid premiums, retirement savings plan matching, and stock options. Additionally, we support work-life balance with vacation time, health days, parental leave top-ups, and dedicated break time, ensuring you have the resources you need to thrive both personally and professionally.

When answering this question, talk about specific frameworks you have worked with, such as Kafka or RabbitMQ, and describe how you utilized them in past projects. Highlight the challenges faced and how you overcame them, showcasing your ability to manage real-time data flow effectively.

Discuss your approach to data security, including encryption methods, access controls, and compliance with data protection regulations. Provide examples of how you've implemented these practices in your previous roles, illustrating your commitment to safeguarding sensitive information.

In your response, provide specific instances where you were responsible for scaling databases, detailing the technologies used and strategies implemented, such as partitioning, sharding, or optimizing query performance. Emphasize your analytical approach and understanding of database architecture.

Explain the techniques you use to enhance data pipeline performance, such as batch processing, asynchronous data processing, and effective resource management. Illustrate these strategies with examples from your work that led to improved efficiency and reliability.

Highlight your communication skills and ability to work with diverse teams. Share examples of successful collaborations, particularly where input from different areas, such as development, operations, and product management, contributed to a successful data solution.

Discuss the specific cloud platforms and tools you are familiar with, such as AWS S3, Redis, or similar services. Describe how you have implemented and managed these tools effectively to meet business needs.

Describe your structured approach to code reviews, focusing on best practices, collaborative feedback, and how you promote a culture of continuous improvement. Emphasize the importance of quality assurance and mentorship in your process.

When answering, detail any disaster recovery planning you have contributed to, discussing the technologies and processes used to ensure data recovery and business continuity. Highlight any specific scenarios where your planning made a significant impact.

Talk about the resources you use to stay updated, such as industry blogs, forums, or professional groups. Mention any relevant courses or certifications you have pursued to enhance your knowledge and skills in data engineering.

Detail your understanding and application of data lifecycle management principles. Provide specific examples of how you managed data from creation to archiving, highlighting your role in ensuring data integrity and compliance throughout its lifecycle.