Job Opportunities API

AssetWatch serves global manufacturers by powering manufacturing uptime through the delivery of an unparalleled condition monitoring experience, with a passion to care about the assets our customers care for every day. We are a devoted and capable team that includes world-renowned engineers and distinguished business leaders united by a common goal – To build the future of predictive maintenance. As we enter the next phase of rapid growth, we are seeking people to help lead the journey.   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  the other backend engineers  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.     Qualifications   Strong  proficiency  in Python development, specifically within AWS serverless environments.   Deep knowledge of AWS services including  ECS,  Lambda, API Gateway, S3, CloudWatch,  IAM,   RDS Aurora, SNS, and SQS.   Experience working with third-party APIs and SaaS applications , integrating external services into backend systems.   Experience designing and building scalable APIs , including API documentation, authentication methods, and adherence to best practices,  leveraging  modern frameworks and patterns.   Solid experience managing infrastructure using Terraform and familiarity with  IaC  principles.   Expertise   with SQL and NoSQL databases, specifically MySQL and DynamoDB, including query optimization and performance-oriented schema design.   Experience with Git, pipeline automation, CI/CD methodologies, and Agile practices (Jira).   Excellent problem-solving and organizational skills, with the ability to manage multiple priorities effectively while  operating  in a self-driven, ownership-oriented way.   Strong c