Senior Platform Engineer
Cypress HCM
•
Redwood City, CA
0
0
0
0
Mid-Senior level
Posted March 14, 2026
Job link
Thinking about this job
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.
Not Met Priorities
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
- Previous experience mentoring or providing technical leadership to engineering teams.
- 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 Platform Software Engineer
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
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