Backend Engineer, AssetWatch

• Strong proficiency in NodeJS or Python development, specifically within AWS serverless environments
• Deep knowledge of AWS services including Lambda, API Gateway, S3, CloudWatch, RDS Aurora, SNS, and SQS
• Experience working with third party API and SaaS applications
• Solid experience managing infrastructure using Terraform and familiarity with IaC principles
• Expertise in SQL databases, particularly MySQL, including query optimization and stored procedure development
• Experience with Git, pipeline automation, CI/CD methodologies, and Agile practices (Jira)
• Excellent problem-solving abilities, organizational skills, and ability to manage multiple priorities effectively
• Strong communication skills, both written and verbal, facilitating collaboration across diverse technical teams
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field
• Proven experience designing and implementing backend solutions in complex, scalable cloud environments
• A proactive learner, eager to explore new technologies and methodologies
• Comfortable in dynamic, collaborative environments, able to work independently and in teams

Desirable

• The Data Services team designs, manages, and optimizes critical backend data infrastructure and pipelines supporting AssetWatch’s condition monitoring and predictive maintenance solutions
• Our team maintains and evolves serverless architectures, builds robust APIs, ensures efficient database operations, and drives improvements in data ingestion and alerting systems
• We collaborate closely across multiple engineering teams to enhance system performance, scalability, and reliability, ensuring seamless data flow and availability
• Design, develop, and maintain secure, scalable, and highly available microservices, integrations, and jobs
• Work closely with Lead Backend Engineer to enforce consistent and scalable architecture
• Develop and optimize serverless architectures, leveraging AWS Lambda, API Gateway, and related technologies
• Write and optimize performant SQL queries, stored procedures, and database schemas using MySQL
• Monitor, manage, and optimize alerting systems including Sentry and Slack integrations to proactively address infrastructure and database health
• Create, manage, and improve infrastructure-as-code (IaC) scripts and Terraform templates
• Automate CI/CD pipelines, enhancing developer efficiency and ensuring seamless deployments
• Work closely with Data Team to follow and mature best data practices including integration pipeline strategy
• Collaborate with Product and Engineering Teams to identify, plan, and implement system improvements, addressing technical debt and enhancing overall data stack efficiency
• Participate actively in an on-call rotation, managing and coordinating production deployments and production support
• Conduct thorough code reviews, support and guide Engineering Teams with backend best practices, and maintain comprehensive documentation