Senior Software Engineer : Power Bi Developer, Python AI/ML

In This Role, You Will

• Lead moderately complex initiatives and deliverables within technical domain environments
• Contribute to large scale planning of strategies
• Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
• Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
• Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
• Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
• Lead projects and act as an escalation point, provide guidance and direction to less experienced staff

Required Qualifications

• 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications

• Bachelor's or master's degree in computer science, Software Engineering, or a related field.
• Strong Knowledge and experience with Tableau, PowerBI, Grafana or any other visualization tools
• Professional experience in Python software development.
• Strong proficiency in Python and related frameworks (e.g., Django, Flask, FastAPI).
• Knowledge and Experience with Python AI/ML libraries
• Extensive experience with relational and/or NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB).
• Solid understanding of software design principles and patterns.
• Experience with version control systems (e.g., Git).
• Experience with cloud platforms (e.g., AWS, Azure, GCP).
• Experience with containerization and orchestration (e.g. Docker, Kubernetes, OpenShift).
• Strong knowledge of RESTful API design.
• Excellent problem-solving and debugging skills.
• Strong communication and collaboration skills.
• Experience with message queues (e.g., RabbitMQ, Kafka).
• Experience with CI/CD pipelines (e.g., Jenkins, GitLab CI, Git Action).

Job Expectations Site Reliability Engineering:

• Good understanding about SRE practices (Reliability, Observability, Availability, TOIL Automation)
• Experience working with Observability tools (Splunk, Grafana, Prometheus, ELK)
• Knowledge and good understanding on Reliability concepts (SLI, SLO, SLI, Error budget)

Design And Development

• Develop high-quality, scalable, and maintainable Python code for backend services, APIs, and applications.
• Architect and implement robust solutions that meet business requirements and Non-functional requirements.
• Participate in code reviews and provide constructive feedback to ensure code quality and code hygiene.
• Write unit and integration tests to ensure code reliability and stability.

Collaboration And Communication

• Collaborate effectively with product owner, designers, and other engineers to deliver high-quality software.
• Communicate technical concepts clearly and concisely to both technical and non-technical stakeholders.
• Participate in agile development processes, including sprint planning, daily stand-ups, and retrospectives.

Performance And Optimization

• Identify and resolve performance bottlenecks and optimize code for efficiency.
• Monitor and troubleshoot production systems to ensure uptime and reliability.
• Implement and maintain CI/CD pipelines for automated testing and deployment.

Database And API Interaction

• Design and implement efficient database schemas and queries (SQL or NoSQL).
• Build and consume RESTful or GraphQL APIs.
• Work with message queues and other asynchronous processing systems.

Reference Number R-527254