SRE - Senior Engineer

Wells Fargo•Irving, TX

20h

About The Position

Wells Fargo is seeking a Senior SRE Engineer to lead moderately complex initiatives and deliverables within technical domain environments. This role involves contributing to large-scale planning of strategies, designing, coding, testing, debugging, and documenting for projects and programs related to technology domain, including upgrades and deployments. The engineer will review and resolve moderately complex technical challenges, lead teams to meet client needs, and collaborate with peers and managers. The position also involves leading projects and acting as an escalation point, providing guidance and direction to less experienced staff.

Requirements

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

Nice To Haves

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
Professional experience in Python software development
Strong proficiency in Python and related frameworks (e.g., Django, Flask, FastAPI)
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
Good understanding and hands on experience on UI development framework (React / Angular)
Experience with asynchronous programming (e.g., asyncio)
Experience with message queues (e.g., RabbitMQ, Kafka)
Experience with CI/CD pipelines (e.g., Jenkins, GitLab CI, Git Action)
Experience with GraphQL
Experience using Infrastructure as Code tools (e.g. Ansible, Terraform, CloudFormation)
Experience working with Observability tools (Splunk, Grafana, Prometheus, ELK)
Knowledge and good understanding on Reliability concepts (SLI, SLO, SLI, Error budget)

Responsibilities

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
Good understanding about SRE practices (Reliability, Observability, Availability, TOIL Automation)
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
Lead technical discussions and contribute to architectural decisions
Mentor and guide junior engineers, fostering their professional growth
Champion best practices in software development, including coding standards, testing, and deployment
Evaluate and recommend new technologies and tools to improve development efficiency
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
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
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