Job Summary
Job Description
Role Overview
We are seeking a highly skilled and experienced Development Engineer 4 with 8-10 years of experience to design, build, and scale high-performance backend systems using Golang. The ideal candidate will have a strong foundation in core programming, system design, distributed architectures, cloud-native development, security practices, and AI-driven engineering.
Key Responsibilities
- Design and develop scalable, high-performance backend services using Golang
- Build and operate distributed systems and microservices architectures
- Contribute to end-to-end system design, including API contracts, data models, and architecture decisions
- Drive cloud-native development leveraging modern DevOps and deployment practices
- Ensure code quality, testability, and maintainability through best practices and design patterns
- Integrate and leverage AI/ML-driven capabilities where applicable
- Implement and enforce secure coding practices and platform security standards
- Collaborate across teams (Dev, QA, DevOps, Platform) to deliver reliable solutions
- Mentor junior engineers and contribute to engineering excellence and best practices
Required Qualifications
- 8-10 years of experience in software development with strong backend expertise
- Bachelor's degree in Computer Science, Engineering, or a related field
- Hands-on experience in Golang development for production systems
- Exposure to AI/ML concepts, tooling, or AI-assisted development workflows
- Strong understanding of Data structures, algorithms, and core programming fundamentals
- Design patterns and clean coding practices
- Distributed systems (scalability, fault tolerance, resiliency)
- Experience with cloud platforms (AWS / Azure / GCP) and microservices architecture
- Working knowledge of SQL or NoSQL - Cassandra, Mongo or Postgres preferred
- Strong exposure to REST/gRPC APIs
- Event-driven architectures (Kafka, messaging systems)
- Observability (logging, monitoring, tracing)
- Solid understanding of security best practices (authentication, authorization, secure APIs)
Preferred Qualifications
- Experience with additional languages such as Python, Java, or Scala
- Experience in platform engineering, DevOps, or SRE practices
- Knowledge of CI/CD pipelines and automated testing frameworks
Key Competencies
- Strong problem-solving and analytical thinking
- Ability to own and deliver end-to-end features
- Effective collaboration and communication skills
- Focus on quality, reliability, and scalability
- Continuous learning mindset with interest in emerging technologies (AI, cloud, distributed systems)
Nice-to-Have Impact Areas
- Driving engineering initiatives (AI adoption, platform improvements)
- Improving system reliability, cost optimization, and operational efficiency
- Contributing to technical roadmap and architectural evolution
Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.
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