Python Developer with AI and Cloud Automation Expertise

Python Developer with expertise in AI/GenAI, RAG architectures, Data Integration, and Cloud Automation

Job Summary
Synechron is seeking an experienced Python Developer to join our dynamic team. The successful candidate will play a critical role in designing, developing, and maintaining data-driven solutions that support enterprise-level analytics, AI initiatives, and platform transformations. This role contributes to the organization’s strategic objectives by delivering innovative data solutions, enhancing operational efficiency, and supporting data governance practices. The position offers an opportunity to work on cutting-edge technologies and collaborate across multidisciplinary teams to achieve business excellence.

Software Requirements

• Required: Python (version 3.8+), Snowflake, SQL Server, Kubernetes, Git, Jenkins, and data modeling tools.

• Preferred: Java, React JS, orchestration tools (e.g., Apache Airflow), and AI/ML frameworks (e.g., TensorFlow, PyTorch).

• Mandatory experience with data extraction, transformation, and analysis tools.

• Proven expertise in building AI-driven insights and RAG architectures, particularly Graph RAG.

• Familiarity with NLQ interfaces, Genesys Cloud APIs/SDKs, and Architect Flow.

Overall Responsibilities

• Design, develop, and optimize data pipelines for structured and semi-structured data flows.

• Build AI/GenAI solutions for deriving insights from enterprise data, including Natural Language Query interfaces.

• Integrate data ingestion processes with platforms such as Genesys Cloud and Salesforce, supporting external and internal APIs.

• Support large-scale platform transformations with effective project prioritization.

• Monitor, debug, and improve data pipelines for performance and reliability.

• Collaborate within Agile teams to ensure timely delivery of high-quality data solutions.

• Implement data governance, quality, and automation best practices.

• Maintain up-to-date documentation of technical solutions and processes.

Technical Skills (By Category)

• Programming Languages:
  Required: Python (expertise in software engineering principles)
  Preferred: Java, React JS

• Databases/Data Management:
  Snowflake, SQL Server, experience with data modeling, performance tuning, and handling semi-structured data

• Cloud Technologies:
  Cloud services for data ingestion and automation, such as AWS, Azure, or Google Cloud

• Frameworks and Libraries:
  Data Science tools, AI/ML frameworks, RAG architectures, NLQ interfaces

• Development Tools and Methodologies:
  Git, Jenkins, Agile (Scrum/Kanban), orchestration tools like Airflow

• Security Protocols:
  Knowledge of data security, access controls, and compliance standards

Experience Requirements

• 5–7 years of hands-on experience with Python, Snowflake, and SQL Server in data-focused roles.

• Proven experience designing and deploying AI-driven insights, with a strong understanding of RAG and Graph RAG architectures.

• Demonstrated expertise in data ingestion, pipelines, and API integrations with platforms like Genesys Cloud and Salesforce.

• Exposure to cloud automation, data governance, and platform transformation projects.

• Industry experience in finance, telecommunications, or technology sectors is preferred.

• Candidates with alternative experience in data science, advanced analytics, or similar fields are also eligible.

Day-to-Day Activities

• Developing and maintaining scalable data pipelines and data ingestion workflows.

• Collaborating with data scientists and business stakeholders to implement AI-driven solutions.

• Supporting platform migration and transformation initiatives through agile delivery.

• Monitoring pipeline performance and troubleshooting issues proactively.

• Participating in daily stand-ups, planning sessions, and code reviews.

• Documenting solutions, sharing best practices, and advocating for data governance standards.

• Providing technical guidance and mentorship to junior team members.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.

• Certifications in Python programming, cloud platforms, or data management (preferred).

• Ongoing professional development through industry courses, webinars, or workshops related to data engineering, AI, and cloud technologies.

• Commitment to maintaining technical expertise and adapting to new tools and methodologies.

Professional Competencies

• Critical thinking and analytical problem-solving skills.

• Strong collaboration, stakeholder management, and negotiation capabilities.

• Excellent communication skills, with the ability to convey complex technical concepts clearly.

• Adaptability to evolving project requirements and technology landscapes.

• Innovative mindset with a focus on continuous improvement and automation.

• Effective time and priority management in a fast-paced environment.

S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Candidate Application Notice

Experience Level

Senior Level