Senior Technical L1-L2 Support Consultant (Python, Linux/DevOps)

Work Type: Remote, full-time

Technologies: Linux, Python, SQL, Bash

Job Description: You’ll work on a global investment project, supporting data pipelines and troubleshooting infrastructure issues within a Linux-based environment. In this hands-on role, you’ll collaborate with experienced development and infrastructure teams, contribute to a fast-moving and data-driven environment, and participate in an on-call rotation.

Responsibilities:

• Provide real-time technical support and problem resolution to end users;

• Manage support ticket queues and monitor alerts, proactively addressing issues;

• Troubleshoot and debug incidents across a multi-layered technology stack;

• Work closely with development and infrastructure teams to resolve issues and provide input on systemic problems;

• Perform technical deep dives to diagnose issues related to Data flows and signals not being processed correctly, and system integrations and service interruptions;

• Support root cause analysis efforts;

• Write Python, SQL, and Bash scripts to support debugging and operational tasks; Confidential

• Apply basic to intermediate production-quality code fixes in collaboration with developers;

• Maintain clear and timely communication with end users and stakeholders;

• Participate in an on-call rotation for incident support.

Requirements:

Programming & Scripting:

• Strong proficiency in Python (experience in production projects);

• Scripting experience in Bash or other Unix command languages;

• Ability to write self-service and debugging scripts, ad-hoc automation;

• Knowledge of SQL and familiarity with relational databases.

Operating Systems & Environments:

• Hands-on experience with Linux administration, CLI tools, system monitoring, incident management, and troubleshooting;

• Understanding of Unix/Linux systems;

• Understanding of networking and service communication in Unix environments.

Architecture & Infrastructure:

• Understanding of service-oriented architectures (SOA);

• Knowledge of data pipelines, real-time signal processing systems, or trading environments (preferred);

• Familiarity with infrastructure concepts, containerization, and orchestration (Kubernetes is preferable).