We are looking for a talented and experienced Sr Staff Software Engineer to join our dynamic Data & AI Platform team. Our organization provides cutting-edge services utilized by both internal teams and external customers. The ideal candidate will be responsible for defining and implementing best practices, working on edge technologies on the cloud, and ensuring high ROI on deliverables across all stages of the Software Development Life Cycle (SDLC).
Your Impact:
Define and implement best practices for the R&D platform.
Collaborate with internal and external stakeholders to understand requirements and deliver high-quality solutions.
Work on edge technologies and cloud platforms to enhance our services.
Participate in all phases of the SDLC, including design, development, testing, and deployment.
Ensure high ROI on deliverables by optimizing processes and solutions.
Share knowledge and best practices across the company to promote a culture of continuous improvement.
Your Impact:
Define and implement best practices for the R&D platform.
Collaborate with internal and external stakeholders to understand requirements and deliver high-quality solutions.
Work on edge technologies and cloud platforms to enhance our services.
Participate in all phases of the SDLC, including design, development, testing, and deployment.
Ensure high ROI on deliverables by optimizing processes and solutions.
Share knowledge and best practices across the company to promote a culture of continuous improvement.
Requirements:
Your Experience
Bachelor's degree in Computer Science, Engineering, or a related field.
At least 5 years of experience with Python.
Minimum of 2 years of hands-on experience with AWS.
Proven experience with the full Software Development Life Cycle (SDLC), including design, development, testing, and deployment.
Excellent problem-solving skills and strong attention to detail.
Ability to manage multiple projects simultaneously and strong organizational skills.
Preferred Qualifications
Experience with big data technologies like Spark, Kafka, or Flink.
Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
Passion for continuous learning and staying updated with the latest industry trends.
Master's degree in a related field.
Your Experience
Bachelor's degree in Computer Science, Engineering, or a related field.
At least 5 years of experience with Python.
Minimum of 2 years of hands-on experience with AWS.
Proven experience with the full Software Development Life Cycle (SDLC), including design, development, testing, and deployment.
Excellent problem-solving skills and strong attention to detail.
Ability to manage multiple projects simultaneously and strong organizational skills.
Preferred Qualifications
Experience with big data technologies like Spark, Kafka, or Flink.
Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
Passion for continuous learning and staying updated with the latest industry trends.
Master's degree in a related field.
This position is open to all candidates.
