Software Architect, Golang, Contract

As a Software Architect at 66degrees, your primary focus will be on designing and implementing high-availability data and backend systems using Golang and Google Cloud Bigtable. You'll provide technical leadership, ensure code quality, and optimize performance while selecting appropriate technologies to meet project needs.

To qualify for the Software Architect role at 66degrees, candidates should have extensive experience with Golang, knowledge of rapid agile environments, and familiarity with Google Cloud services, especially Bigtable. Understanding distributed systems and experience with performance optimization are crucial, along with strong communication skills.

The Software Architect position at 66degrees is a contract role lasting about 11 weeks, requiring approximately 40 hours of work each week. Candidates should be available to work UK hours, with morning overlaps for collaboration with the US team.

Yes, experience with cloud platforms is necessary for the Software Architect position at 66degrees. While familiarity with any cloud platform like AWS or Azure is valued, preference will be given to candidates with experience in Google Cloud.

In your role as Software Architect at 66degrees, you will work with several technologies, including Golang for backend development, Google Cloud Bigtable for data storage, ScyllaDB for database management, and tools such as Kafka for system integration and messaging.

In your response, highlight specific projects or situations where you've used Golang to build scalable backend systems. Discuss the challenges you faced and the solutions you implemented, emphasizing how your approach improved system performance or user experience.

Share your methodology for designing scalable architectures, including understanding the load requirements, selecting appropriate technologies, and considering future expansion. Use examples from your past experiences to illustrate your points.

Discuss specific techniques you use in Go, such as profiling to identify bottlenecks, optimizing data structures, or using concurrency features in Go. Provide examples of how these techniques improved performance in previous projects.

Explain your approach to code quality through methods like code reviews, automated testing, and adherence to coding standards. Mention any tools or practices you employ to maintain high quality throughout the development cycle.

If you have experience, describe specific projects utilizing Google Cloud Bigtable. Talk about how you integrated it within your systems and the advantages it provided, such as handling large datasets or boosting performance.

Share your familiarity with the scrum process and how it enhanced your team's flexibility and productivity. Discuss how you manage sprints and your role in adapting to changes during the development process.

Discuss how you prioritize tasks between leadership and development, such as setting clear goals, delegating work effectively, and ensuring your team is aligned with the project objectives while also contributing directly to coding.

Talk about your experience with Git or other version control tools, emphasizing best practices like feature branching, commit messages, and collaborating on versions to ensure smooth integration among team members.

Describe the testing methods you apply, such as unit testing, integration testing, and the importance of validation in producing reliable systems. Give examples of how thorough testing has improved your project outcomes.

Discuss the importance of scalability, data integrity, performance, and normalization in data modeling. Provide an example that illustrates how you effectively modeled data in a past project to address specific business needs.