Hi Team, Pls check & help with the profiles for the below req. Location: Austin, TX.
This id for new role Java with python strong Coding. C2C & premium
Rate is fine..
Pls ensure candidates are strong in coding. Preferably from start up/product company's.
This role is ideal for someone who is passionate about designing and building scalable backend systems, has a strong foundation in Java and Python, and possesses hands-on experience in DevOps, CI/CD, and cloud-native architectures. You'll work closely with data engineers, architects, and DevOps teams to create robust systems that power next-generation data solutions.
Key Responsibilities
- Design, develop, and maintain scalable and high-performance backend services using Java and Python.
- Build and enhance data platform components to support data ingestion, processing, and analytics workflows.
- Collaborate with DevOps teams to define and implement CI/CD pipelines, automation tools, and infrastructure as code.
- Participate in system architecture discussions, contributing to platform design decisions that improve reliability, scalability, and security.
- Implement best practices for code quality, performance optimization, monitoring, and testing.
- Work with cloud infrastructure (AWS/GCP/Azure) to deploy and manage services and data pipelines.
- Troubleshoot and resolve complex system and application issues, including root cause analysis.
- Document technical designs, architecture, and operational procedures.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- Strong programming experience in Java and Python.
- Solid understanding of backend development principles, APIs, microservices, and event-driven architectures.
- Proven experience with DevOps practices, including containerization (Docker), orchestration (Kubernetes), and infrastructure automation (Terraform, Ansible, etc.).
- Proficiency with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or similar.
- Experience working with cloud platforms (AWS, GCP, or Azure).
- Strong understanding of system design, distributed systems, and performance tuning.
- Familiarity with data platforms or big data technologies (e.g., Kafka, Spark, Flink, Airflow, or similar) is a plus.
- Excellent communication and collaboration skills.
Preferred Qualifications
- Experience working on data-intensive applications or enterprise-grade platforms.
- Familiarity with observability tools (Prometheus, Grafana, ELK stack).
- Exposure to data lake, warehouse, or lakehouse architectures.
