JPMorgan Tech Lead SRE - Manager Software Engineering 

Argentina, Autonomous City of Buenos Aires, Buenos Aires 

839321608

As a

Job Responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors.
• Develops secure and high-quality production code, and reviews and debugs code written by others.
• Drives decisions that influence the product design, application functionality, and technical operations and processes.
• Serves as a function-wide subject matter expert in one or more areas of focus.
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle.
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies.
• Adds to the team culture of diversity, equity, inclusion, and respect.
• Oversees entire TESS product stack and ensure proper product ecosystem technical practices.
• Builds and develop SRE practices for products we own.

Qualifications

• Expertise in Kubernetes and Docker, with hands-on experience in containerization technologies.
• Proficiency in AWS and cloud platforms, with a strong understanding of cloud-native architecture.
• Advanced skills in data engineering, including the ability to work with large datasets and optimize data pipelines.
• Foundational knowledge of artificial intelligence (AI) and experience with large language models (LLMs).
• Strong architectural skills, capable of providing technical leadership, creating future-proof applications, and meeting evolving business needs.
• Proven leadership in managing and scaling multiple engineering teams, offering strategic direction and technical guidance.
• Experience with architecting scalable solutions, with a focus on performance, security, and best practices.
• Ability to design, develop, and deliver future applications aligned with organizational growth and innovation.
• Strong management skills, capable of mentoring engineers and leading cross-functional teams.

Required Tools and Languages:

• Programming Languages: Python, Go, Java, or similar languages for backend development.
• Cloud & DevOps Tools: AWS (EC2, S3, Lambda, RDS), Terraform, Ansible.
• Containerization: Docker, Kubernetes.
• AI & ML Tools: TensorFlow, PyTorch, or other ML frameworks.
• Data Engineering: SQL, Spark, Kafka, Hadoop.
• Version Control: Git, GitHub, GitLab.
• Monitoring & Logging: Prometheus, Grafana, ELK stack (Elasticsearch, Logstash, Kibana).