Software Engineer

Responsibilities

• Build, maintain, and improve internal tools, data workflows, and operational web applications.
• Develop Python-based services, automation scripts, data processing jobs, and internal utilities.
• Work with business users and engineers to understand requirements, clarify ambiguity, and deliver practical software solutions.
• Design and maintain workflows for data ingestion, transformation, validation, reconciliation, and reporting.
• Write and debug SQL queries used for reporting, investigation, and operational analysis.
• Build and iterate on AI-enabled internal tools for the telco team, including an internal AI chatbot/assistant for operational support, billing investigation, documentation discovery, and workflow guidance.
• Develop AI agent workflows and integrations with internal APIs, databases, and documentation sources using patterns such as Model Context Protocol (MCP), function/tool calling, retrieval-augmented generation (RAG), and secure permission-aware access.
• Maintain backend APIs and frontend interfaces for internal applications.
• Debug issues across application code, databases, APIs, logs, configuration, and deployment environments.
• Improve reliability, observability, test coverage, documentation, and maintainability of existing systems.
• Use Git-based development workflows, code reviews, CI/CD pipelines, and deployment processes.
• Communicate progress, assumptions, risks, and blockers clearly and early.

Qualifications

• Degree in Computer Science, Engineering, Mathematics, Physics, or a related technical field, or equivalent practical experience.
• 3–5 years of professional software engineering experience.
• Strong programming skills, preferably in Python.
• Solid SQL skills and understanding of relational databases.
• Experience working with production or business-critical codebases.
• Experience with data workflows such as ETL, reporting, reconciliation, validation, or operational data processing.
• Familiarity with web application development, backend APIs, and frontend/backend integration.
• Comfortable working in Linux/Unix environments and using Git-based workflows.
• Strong debugging and problem-solving skills across code, data, configuration, and environment issues.
• Able to work with ambiguous requirements, identify assumptions, ask targeted questions, and propose practical plans.
• Clear communication skills, including concise status updates and early blocker reporting.
• Able to use AI coding tools thoughtfully while understanding, testing, and taking responsibility for the final output.

Preferred Qualifications

• Experience with Vue.js or similar frontend frameworks.
• Familiarity with Docker, Kubernetes, deployment configuration, service logs, or operational troubleshooting.
• Experience with GitLab CI/CD or similar automation systems.
• Experience with Python web frameworks such as Django, Flask, or FastAPI.
• Experience with database schemas, migrations, indexes, or data validation logic.
• Experience with observability tools, metrics, dashboards, alerts, or production monitoring.
• Interest in improving internal platforms, automating manual workflows, and reducing operational burden.

Pay

Anticipated annual base salary range $130,000 - $170,000, plus eligible for discretionary bonus.

Schedule

Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world.

Benefits

• Generous paid time off policies
• Savings plans and other financial wellness tools available in each region
• Hybrid working opportunities
• Free breakfast, lunch, and snacks daily
• In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more)
• Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)
• Volunteer opportunities and charitable giving
• Social events, happy hours, treats, and celebrations throughout the year
• Workshops and continuous learning opportunities