Staff Backend Engineer

Posted about 13 hours agoViewed

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💎 Seniority level: Senior, 5+ years

📍 Location: United States

💸 Salary: 170000.0 - 200000.0 USD per year

🔍 Industry: Software Security

🏢 Company: Red Cell Partners👥 11-50 Financial Services Venture Capital Finance

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: AWSBackend DevelopmentDockerPostgreSQLPythonSQLCloud ComputingDynamoDBETLGCPKafkaKubernetesMachine LearningAPI testingGoREST APIRedisNosqlCI/CDTerraformMicroservicesSoftware Engineering

Requirements:

BS or higher, in computer science, software engineering, or a related field
5+ years of experience in backend development, with a proven track record of building scalable, production-grade systems to solve complex problems
Proficiency in programming languages such as Python and Go, with a strong ability to write clean, maintainable code
Experience developing and optimizing systems for data processing and providing REST APIs for both inter-service communication and user-facing, latency-sensitive frontend applications
Hands-on experience with asynchronous task queues (for example, Celery, RabbitMQ, Redis) or event-driven architectures (for example, Kafka, AWS SNS/SQS)
Hands-on experience designing and debugging Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure, with a focus on scalability, security, and cost efficiency
Strong knowledge of modern software engineering practices, including CI/CD pipelines, infrastructure as code (for example, Terraform, AWS CloudFormation) and container orchestration (for example, Docker, Kubernetes)
Proficiency in relational and NoSQL databases (for example, PostgreSQL, DynamoDB, Redis)
Exceptional written and verbal communication skills, with the ability to effectively collaborate with team members and stakeholders
Strong desire to build impactful products

Responsibilities:

Architect, design, build, maintain, and enhance our data platform, backend infrastructure, and the APIs used by us and our customers
Build and maintain data pipelines to process structured and unstructured data from diverse sources and internal databases
Continually refine and suggest modifications and additions to our technical stack
Develop, scale, and optimize our machine learning infrastructure
Collaborate with cross-functional teams, partners, and customers to understand needs, offer insights, and tailor systems to meet business goals
Support and contribute to code reviews, ensuring adherence to coding standards and best practices
Mentor the engineering team as the company grows, fostering a culture of innovation, collaboration, and technical excellence

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