Description
Job Description : Platform Engineer
Employment Type : Contract
Eligibility : OPT and H-4 EAD candidates encouraged to apply. No H1B sponsorship.
About The Role
We are seeking a highly skilled Platform Engineer with - 8 years of experience to join our early-stage engineering team. The role focuses on building foundational infrastructure and scalable platform services that support a next-generation SaaS environment. This opportunity offers high ownership, hands-on engineering, and the ability to influence core architecture.
Key Responsibilities
- Design, build, and maintain scalable platform services and microservices.
- Develop high-quality, production-ready backend components using Python.
- Architect and implement cloud-native infrastructure for platform scalability and performance.
- Build, enhance, and manage CI/CD pipelines for continuous delivery.
- Drive automation across operations, deployments, and environment management.
- Implement monitoring, observability, and alerting frameworks for improved reliability.
- Collaborate with cross-functional teams to define tech requirements and delivery milestones.
- Participate in code reviews and enforce engineering best practices.
- Maintain comprehensive technical documentation for platform components.
- Contribute to building a strong DevOps culture within the engineering team.
Key Result Areas (KRAs)
- Robust and scalable platform architecture enabling seamless application performance.
- High-quality and maintainable microservices delivered within agreed timelines.
- Stability, reliability, and uptime improvements achieved through monitoring enhancements.
- Consistent deployment velocity enabled through efficient CI/CD automation.
- Successful implementation of cloud infrastructure with optimized cost and performance.
- Reduction of operational tasks through increased automation and tooling optimization.
- Effective cross-team collaboration enabling faster feature releases and system iterations.
- Documentation quality supporting knowledge sharing and platform scalability.
- Compliance with security and governance standards across platform components.
Required Skillsets
- Strong hands-on experience with Python for backend development.
- Expertise in designing and developing microservices and RESTful APIs.
- Proven experience with production-grade AI/ML platform integration.
- Strong understanding of distributed systems and cloud-native architecture.
- Proficiency with cloud platforms such as AWS, GCP, or Azure.
- Practical experience with containerization technologies including Docker and Kubernetes.
- Strong DevOps skills, including CI/CD automation tools and practices.
- Familiarity with observability tools for logging, monitoring, and tracing.
- Solid understanding of networking fundamentals relevant to distributed systems.
- Ability to write clean, maintainable, and scalable code.
- Strong communication skills and collaborative mindset.
Qualifications
- Bachelors degree in Computer Science or related field.
- Masters degree preferred.
- 6 - 8 years of relevant software/platform engineering experience.
- Prior experience working on AI or production-scale platform systems.
(ref:hirist.tech)
