At a Glance
- Tasks: Develop and maintain high-performance backend services using Go, design APIs, and process data pipelines.
- Company: Join a dynamic social network focused on real-time analytics and user insights.
- Benefits: Enjoy flexible work options, competitive pay, and opportunities for professional growth.
- Why this job: Be part of an innovative team driving data-driven applications with a culture of mentorship.
- Qualifications: Advanced Go skills, experience with APIs, data processing, and cloud technologies required.
- Other info: Ideal for those passionate about backend engineering and eager to mentor others.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a highly skilled and experienced Back-End Developer with advanced expertise in Go (Golang), data analytics, and cloud-based backend services. This individual will play a key role in building scalable APIs, processing data pipelines, and supporting front-end web applications with real-time analytics and insights.
Technical Expertise:
- Independently develop and maintain high-performance backend services using Go (Golang).
- Design and implement RESTful APIs and GraphQL endpoints to support front-end applications.
- Process and optimize large-scale data pipelines for real-time analytics and reporting.
- Write clean, maintainable, and efficient code that adheres to best practices and coding standards.
- Utilize AWS cloud services for scalable and secure backend application deployment.
- Ensure robust data storage and management using PostgreSQL and other database solutions.
- Implement authentication, authorization, and security best practices in backend services.
- Improve CI/CD pipelines for automated deployments and infrastructure management.
Architecture and Performance:
- Lead performance optimization initiatives for backend services, ensuring efficiency and scalability.
- Architect scalable and maintainable backend solutions for real-time data processing.
- Develop strategies to optimize data retrieval, caching, and indexing for fast responses.
- Design fault-tolerant and resilient distributed systems using Kubernetes and cloud-native technologies.
- Utilize Prometheus, Grafana, and Kibana for monitoring and observability of backend systems.
- Optimize API performance and response times for a seamless user experience.
Data Analytics & User Insights:
- Integrate real-time data processing and analytics into backend applications.
- Work closely with data engineers, analysts, and front-end developers to deliver actionable insights.
- Design and implement ETL pipelines to extract, transform, and load large datasets.
- Enable event tracking and logging for user behavior analysis.
- Utilize machine learning models and predictive analytics to improve user experiences.
- Ensure compliance with GDPR and data privacy regulations when handling user data.
Operational Excellence:
- Improve monitoring, alerting, and logging capabilities for backend applications.
- Establish robust debugging and troubleshooting processes for production systems.
- Identify and resolve backend bottlenecks, bugs, and security vulnerabilities.
- Optimize development workflows and deployment automation for high efficiency.
- Maintain and enhance backend infrastructure on AWS and Kubernetes.
Strategic Contributions:
- Evaluate and recommend cutting-edge technologies that align with project requirements.
- Consider broader technical and business implications when making development decisions.
- Foster a culture of continuous improvement, knowledge sharing, and mentorship.
Required Qualifications:
- Advanced proficiency in Go (Golang) for backend development.
- Strong experience with RESTful APIs, GraphQL, and event-driven architectures.
- Deep understanding of data processing, analytics, and real-time event streaming.
- Expertise in PostgreSQL, AWS and Kubernetes.
- Proficiency in monitoring tools like Prometheus, Grafana, and Kibana.
- Knowledge of security best practices, including OAuth, JWT, and data encryption.
- Fluent in English with strong communication and collaboration skills.
Preferred Qualifications:
- Experience with big data processing frameworks like Apache Flink or Spark.
- Familiarity with machine learning models and AI-driven analytics.
- Understanding of front-end and mobile app interactions with backend services.
- Expertise in cloud-native application development and DevOps practices.
This position is ideal for an individual with a strong backend engineering background, a passion for data-driven applications, and the ability to drive innovation while mentoring and guiding others within the team.
Golang Backend Developer employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Golang Backend Developer
✨Tip Number 1
Familiarise yourself with the latest trends and best practices in Go (Golang) development. Join online communities or forums where Golang developers share insights, as this can help you stay updated and connect with potential colleagues.
✨Tip Number 2
Showcase your experience with cloud services like AWS and container orchestration tools such as Kubernetes. Consider contributing to open-source projects or building personal projects that demonstrate your skills in these areas.
✨Tip Number 3
Network with professionals in the data analytics and backend development fields. Attend meetups, webinars, or conferences to meet people who work at companies you're interested in, including us at StudySmarter.
✨Tip Number 4
Prepare to discuss your approach to performance optimisation and real-time data processing during interviews. Be ready to share specific examples of how you've tackled challenges in these areas in your previous roles.
We think you need these skills to ace Golang Backend Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Go (Golang), RESTful APIs, and cloud services like AWS. Use specific examples of projects where you've implemented these technologies to demonstrate your expertise.
Craft a Compelling Cover Letter: In your cover letter, express your passion for backend development and data analytics. Mention how your skills align with the job requirements and provide examples of how you've successfully tackled similar challenges in previous roles.
Showcase Relevant Projects: If you have personal or professional projects that showcase your skills in building scalable APIs or working with data pipelines, include them in your application. This can help illustrate your hands-on experience and problem-solving abilities.
Highlight Soft Skills: Don't forget to mention your communication and collaboration skills, as these are crucial for working closely with data engineers and front-end developers. Provide examples of how you've effectively worked in teams to achieve project goals.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Golang Expertise
Be prepared to discuss your experience with Go in detail. Highlight specific projects where you've developed backend services, focusing on the challenges you faced and how you overcame them. This will demonstrate your advanced proficiency and problem-solving skills.
✨Demonstrate API Design Knowledge
Since the role involves designing RESTful APIs and GraphQL endpoints, be ready to explain your approach to API design. Discuss best practices, versioning strategies, and how you ensure security and performance in your API implementations.
✨Discuss Data Processing Techniques
Given the emphasis on data analytics and real-time processing, prepare to talk about your experience with data pipelines and ETL processes. Share examples of how you've optimised data retrieval and implemented analytics solutions in previous roles.
✨Familiarise Yourself with Monitoring Tools
The job requires knowledge of monitoring tools like Prometheus, Grafana, and Kibana. Brush up on how you've used these tools in past projects to monitor system performance and troubleshoot issues. Being able to discuss your experience with these tools will set you apart.