Lead Software Engineer
Wells Fargo11 hours ago
Hyderābād, IndiaStaff+
Responsibilities
- Lead complex, companywide software engineering initiatives spanning multiple systems, services, and data flows.
- Design, develop, test, debug, document, and maintain scalable automation platforms and backend services.
- Build data-driven services and tooling that support network engineering automation, observability, analytics, and operational efficiency.
- Define and enforce engineering standards for architecture, reliability, observability, security, performance, code quality, and maintainability.
- Make high-impact technical decisions, evaluate tradeoffs, identify technical risks, and provide direction on ambiguous problems.
- Collaborate with technical experts, cross-functional engineering teams, senior technology leaders, and external industry groups.
- Mentor engineers, lead design reviews, provide peer guidance, and elevate the team’s technical depth.
- Create solution and product roadmaps and drive continuous improvement in engineering practices, tooling, automation, and operational readiness.
Requirements
- At least 5 years of software engineering experience, or equivalent demonstrated through work experience, training, military experience, or education.
- At least 5 years of experience building scalable, production-grade systems using modern programming languages and frameworks.
- Strong proficiency in Python, .NET, JavaScript/React, APIs, SQL, and NoSQL data stores.
- Strong proficiency in Ansible-based network and systems automation; the posting also cites 8+ years of working domain experience as a desired qualification.
- Experience with event-driven and distributed systems, Kafka, ETL pipelines, and microservices design.
- At least 3 years of practical experience building AI/ML-powered capabilities, including data preparation, model development, optimization, and production deployment.
- Experience designing and deploying RESTful services, backend automation services, and platform components for large-scale engineering or operational systems.
- Familiarity with containerized workloads on Kubernetes and OpenShift, with AAP or Tower knowledge as an advantage.
- Background in data engineering workflows such as data ingestion, data feeds, transformation, and analysis.
- Exposure to observability and telemetry ecosystems, including Prometheus, OpenTelemetry, time-series metrics, synthetic monitoring, or capacity and health analytics.
- Understanding of concurrency, memory management, distributed-system behavior, API architectures, modern web and service frameworks, secure software development, static analysis, application security, and enterprise architecture patterns.
- Ability to communicate effectively, influence cross-functional teams, collaborate across functions, and work in product-based engineering teams.
Tech Stack
About Wells Fargo
Wells Fargo & Company is a U.S.-based financial services firm providing consumer and commercial banking, mortgages, credit, and wealth/investment services to individuals, small businesses, and enterprises. It earns revenue from interest income and fees across retail banking, payments, lending, and capital markets. Founded in 1852 and headquartered in San Francisco, it is publicly traded on the NYSE (WFC) and operates nationally with offices in multiple countries.