Platform Engineer
Cypress HCM
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San Francisco, CA
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Mid-Senior level
Posted March 14, 2026
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Responsibilities
Responsibilities
- Architect, build, and maintain scalable platform services within cloud environments.
- Develop robust Python-based solutions to enable 3D indoor positioning and IoT device integration.
- Collaborate with frontend and edge teams using REST and WebSocket microservices, leveraging API design models and specifications.
- Monitor and analyze system metrics to optimize microservices performance and reliability.
- Proactively improve development processes, optimize system costs, and enhance software quality.
- Own end-to-end projects, from initial conception through deployment and maintenance.
- Balance attention to detail with understanding of overall system architecture.
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What still needs stronger evidence
Requirements
- 7+ years of relevant experience and expertise in AWS.
- Deep experience with cloud platforms and services, including container orchestration (ECS/EKS), streaming platforms (Kinesis/Kafka), and relational databases (RDS)/PostgresSQL).
- Proven ability to design and build scalable, fault-tolerant distributed microservices using Python.
- Hands-on experience with CI/CD pipelines, version control (GIT), and testing frameworks like PyUnit and PyTest
- Strong background in Linux/Unix-based backend development.
- Solid understanding of system design principles, including requirements analysis, data scaling, API definition, and component trade-offs.
- Familiarity with API specifications (OpenAPI), monitoring tools (Grafana, Prometheus), and microservices architectural frameworks.
- Experience debugging complex software applications and performing performance tuning and profiling.
- Knowledge of distributed data storage and processing systems.
- Experience with infrastructure-as-code tools like Terraform.
- Experience using project management tools such as JIRA.
- Previous experience mentoring or providing technical leadership to engineering teams.
Preferred Skills
- Exposure to AI-related systems or model-servicing architectures.
- Experience with FastAPI or similar backend frameworks.
- Knowledge of IoT device management workflows.
- Familiarity with machine learning pipelines, including data preparation, model training, tuning, deployment, and monitoring.
- Web or mobile development experience (React, NestJS, CSS, JavaScript, REST, JSON).
Education
- (Not required) – Bachelor’s degree in Computer Science, Engineering, or related field.
Senior Cloud/Software Engineer (Python/AWS) Location: Belmont, CA Employees: <50 Industry: Wireless services Position Reporting To: CTO Dynamic Bay Area startup is seeking a Senior Platform Software Engineer. This person will drive the development and execution of innovative web and mobile solutions that incorporate cutting-edge positioning, 3D, and IoT systems. Most Important Responsibilities:
Architect, build, and maintain scalable platform services within cloud environments.
Develop robust Python-based solutions to enable 3D indoor positioning and IoT device integration.
Collaborate with frontend and edge teams using REST and WebSocket microservices, leveraging API design models and specifications.
Monitor and analyze system metrics to optimize microservices performance and reliability.
Proactively improve development processes, optimize system costs, and enhance software quality.
Own end-to-end projects, from initial conception through deployment and maintenance.
Balance attention to detail with understanding of overall system architecture. What you can bring to the table to impact this role, team, and organization:
Bachelor’s degree in Computer Science, Engineering, or related field.
7+ years of relevant experience and expertise in AWS.
Deep experience with cloud platforms and services, including container orchestration (ECS/EKS), streaming platforms (Kinesis/Kafka), and relational databases (RDS)/PostgresSQL).
Proven ability to design and build scalable, fault-tolerant distributed microservices using Python.
Hands-on experience with CI/CD pipelines, version control (GIT), and testing frameworks like PyUnit and PyTest
Strong background in Linux/Unix-based backend development.
Solid understanding of system design principles, including requirements analysis, data scaling, API definition, and component trade-offs.
Familiarity with API specifications (OpenAPI), monitoring tools (Grafana, Prometheus), and microservices architectural frameworks.
Experience debugging complex software applications and performing performance tuning and profiling.
Knowledge of distributed data storage and processing systems.
Experience with infrastructure-as-code tools like Terraform.
Experience using project management tools such as JIRA.
Previous experience mentoring or providing technical leadership to engineering teams. Nice-to-Have Skills:
Exposure to AI-related systems or model-servicing architectures.
Experience with FastAPI or similar backend frameworks.
Knowledge of IoT device management workflows.
Familiarity with machine learning pipelines, including data preparation, model training, tuning, deployment, and monitoring.
Web or mobile development experience (React, NestJS, CSS, JavaScript, REST, JSON). Benefits: Medical, Vision, Dental, Stock Options Compensation: $150K - $190K
Architect, build, and maintain scalable platform services within cloud environments.
Develop robust Python-based solutions to enable 3D indoor positioning and IoT device integration.
Collaborate with frontend and edge teams using REST and WebSocket microservices, leveraging API design models and specifications.
Monitor and analyze system metrics to optimize microservices performance and reliability.
Proactively improve development processes, optimize system costs, and enhance software quality.
Own end-to-end projects, from initial conception through deployment and maintenance.
Balance attention to detail with understanding of overall system architecture. What you can bring to the table to impact this role, team, and organization:
Bachelor’s degree in Computer Science, Engineering, or related field.
7+ years of relevant experience and expertise in AWS.
Deep experience with cloud platforms and services, including container orchestration (ECS/EKS), streaming platforms (Kinesis/Kafka), and relational databases (RDS)/PostgresSQL).
Proven ability to design and build scalable, fault-tolerant distributed microservices using Python.
Hands-on experience with CI/CD pipelines, version control (GIT), and testing frameworks like PyUnit and PyTest
Strong background in Linux/Unix-based backend development.
Solid understanding of system design principles, including requirements analysis, data scaling, API definition, and component trade-offs.
Familiarity with API specifications (OpenAPI), monitoring tools (Grafana, Prometheus), and microservices architectural frameworks.
Experience debugging complex software applications and performing performance tuning and profiling.
Knowledge of distributed data storage and processing systems.
Experience with infrastructure-as-code tools like Terraform.
Experience using project management tools such as JIRA.
Previous experience mentoring or providing technical leadership to engineering teams. Nice-to-Have Skills:
Exposure to AI-related systems or model-servicing architectures.
Experience with FastAPI or similar backend frameworks.
Knowledge of IoT device management workflows.
Familiarity with machine learning pipelines, including data preparation, model training, tuning, deployment, and monitoring.
Web or mobile development experience (React, NestJS, CSS, JavaScript, REST, JSON). Benefits: Medical, Vision, Dental, Stock Options Compensation: $150K - $190K