Senior Backend Engineer
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Key skills for this role
About the Role
CNTXT AI is forming a startup to scale a secure, AI-enabled decision-support platform. They seek a Senior Backend Engineer to design and optimize high-performance backend systems using C++ and Python, with expertise in computer architecture, CI/CD, and cloud infrastructure.
Key Skills for This Role
Responsibilities
- Design, develop, and maintain backend software and APIs using C++ and Python
- Architect scalable, resilient, and maintainable software systems following industry standard design patterns
- Collaborate with frontend and full stack teams to integrate backend services with user facing applications
- Implement and optimize data storage solutions using relational and NoSQL databases
- Work with messaging brokers (e.g., Kafka, RabbitMQ, Redis Streams) to build event driven or distributed systems
- Ensure systems are designed for horizontal scaling, high availability, and performance efficiency
- Apply strong understanding of computer architecture to optimize code execution, memory usage, and system throughput
- Develop and maintain CI/CD pipelines to support automated builds, testing, and deployments
- Use GitHub for version control, code reviews, and collaborative development workflows
- Troubleshoot complex backend issues, perform root cause analysis, and implement long term fixes
- Contribute to architectural discussions, technical design documents, and engineering best practices
- Ensure backend systems follow security, reliability, and operational excellence standards
Requirements
- Typically 5+ years of relevant experience in a fast paced product environment
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
- 3 7 years of experience in cloud infrastructure engineering or DevOps roles
- Strong hands on experience with AWS (Azure or GCP experience is a plus)
- Preferred proficiency with Infrastructure as Code tools (Terraform preferred)
- Solid understanding of Linux systems, networking fundamentals, and containerization (Docker, Kubernetes)
- Experience with CI/CD tools such as GitHub Actions and GitLab CI
- Familiarity with monitoring and logging tools (CloudWatch, Prometheus, Grafana, ELK, Datadog, etc.)
- Knowledge of scripting languages such as Python, Bash, or PowerShell
- Understanding of cloud security principles and best practices
- Experience working in Agile or DevOps oriented environments
Full Job Posting
Job Role
- A dedicated startup is being formed to industrialize and scale a secure, AI enabled, multi source decision support software offering.
- The platform is a multi sensor fusion and agentic AI solution connecting to diverse data sources.
- The Backend Engineer is responsible for designing, developing, and optimizing high performance backend systems.
Job Responsibilities
- Design, develop, and maintain backend software and APIs using C++ and Python.
- Architect scalable, resilient, and maintainable software systems following industry standard design patterns.
- Collaborate with frontend and full stack teams to integrate backend services with user facing applications.
- Implement and optimize data storage solutions using relational and NoSQL databases.
- Work with messaging brokers (e.g., Kafka, RabbitMQ, Redis Streams) to build event driven or distributed systems.
- Ensure systems are designed for horizontal scaling, high availability, and performance efficiency.
- Apply strong understanding of computer architecture to optimize code execution, memory usage, and system throughput.
- Develop and maintain CI/CD pipelines to support automated builds, testing, and deployments.
- Use GitHub for version control, code reviews, and collaborative development workflows.
- Troubleshoot complex backend issues, perform root cause analysis, and implement long term fixes.
- Contribute to architectural discussions, technical design documents, and engineering best practices.
- Ensure backend systems follow security, reliability, and operational excellence standards.
Qualifications & Experience
- Typically 5+ years of relevant experience in a fast paced product environment.
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
- 3 7 years of experience in cloud infrastructure engineering or DevOps roles.
- Strong hands on experience with AWS (Azure or GCP experience is a plus).
- Preferred proficiency with Infrastructure as Code tools (Terraform preferred).
- Solid understanding of Linux systems, networking fundamentals, and containerization (Docker, Kubernetes).
- Experience with CI/CD tools such as GitHub Actions and GitLab CI.
- Familiarity with monitoring and logging tools (CloudWatch, Prometheus, Grafana, ELK, Datadog, etc.).
- Knowledge of scripting languages such as Python, Bash, or PowerShell.
- Understanding of cloud security principles and best practices.
- Experience working in Agile or DevOps oriented environments.
Competencies
- Strong analytical and troubleshooting skills.
- Ability to design scalable and resilient cloud architectures.
- Excellent communication and collaboration abilities.
- High attention to detail and commitment to operational excellence.
- Proactive mindset with a focus on automation and continuous improvement.
- Ability to work independently and manage multiple priorities.
- Strong sense of ownership and accountability.
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