At a Glance
- Tasks: Develop and maintain high-performance backend services using Go, design APIs, and process data pipelines.
- Company: Join a forward-thinking tech company focused on innovative cloud-based solutions.
- Benefits: Enjoy flexible working options, competitive pay, and opportunities for professional growth.
- Why this job: Be part of a dynamic team driving real-time analytics and impactful data-driven applications.
- Qualifications: Advanced Go skills, experience with APIs, and knowledge of AWS and PostgreSQL required.
- Other info: Ideal for those passionate about backend engineering and mentoring 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: eTeam
Contact Detail:
eTeam 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 Golang development. Join online communities or forums where Golang developers share insights, as this can help you stay updated and demonstrate your passion for the language during interviews.
✨Tip Number 2
Prepare to discuss your experience with cloud services, particularly AWS. Be ready to provide examples of how you've deployed applications in the cloud and optimised backend performance, as this is a key requirement for the role.
✨Tip Number 3
Brush up on your knowledge of RESTful APIs and GraphQL. Consider building a small project that showcases your ability to design and implement these technologies, as practical examples can significantly strengthen your case during the interview.
✨Tip Number 4
Highlight any experience you have with data analytics and real-time processing. Be prepared to discuss specific projects where you've integrated analytics into backend applications, as this aligns closely with the job's focus on data-driven solutions.
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 developed backend services or optimised data pipelines.
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 implemented similar technologies in past roles.
Showcase Relevant Projects: If you have any personal or professional projects that demonstrate your expertise in Golang, data processing, or cloud-based applications, include them in your application. This can set you apart from other candidates.
Prepare for Technical Questions: Anticipate technical questions related to backend development, data analytics, and cloud services during the interview process. Brush up on your knowledge of performance optimisation, API design, and security best practices to impress the interviewers.
How to prepare for a job interview at eTeam
✨Showcase Your Golang Expertise
Be prepared to discuss your experience with Go (Golang) in detail. Highlight specific projects where you've developed backend services, focusing on the challenges you faced and how you overcame them.
✨Demonstrate Your API Knowledge
Since the role involves designing RESTful APIs and GraphQL endpoints, be ready to explain your approach to API design. Discuss best practices you've followed and any tools or frameworks you prefer for building APIs.
✨Discuss Data Processing Experience
The job requires expertise in data analytics and processing. Prepare examples of how you've worked with large datasets, including any ETL processes you've implemented and the impact they had on your projects.
✨Familiarise Yourself with Cloud Technologies
As AWS and Kubernetes are key components of this role, ensure you can talk about your experience with these technologies. Be ready to discuss how you've deployed applications in the cloud and any challenges you've encountered.