Specialty Software Engineering Manager -Platform Engineering
Wells Fargo
- Location
- Hyderabad, India
- Work model
- On-Site
- Level
- Mid
- Posted
- Sep 2, 2026
Skills
About this role
About this role: Wells Fargo is seeking a Specialty Software Engineering Manager. In this role, you will: Manage, coach, and develop a team of individual contributor specialty-domain engineer roles with low to moderate complexity and less experienced managers responsible for building high quality capabilities with modern technology Ensure adherence to the Banking Platform Architecture, and meeting non-functional requirements with each release Engage with architects and experienced engineers to incorporate Wells Fargo Technology technical strategies, while understanding next generation domain architecture to enable application migration paths to target architecture; for example cloud readiness, application modernization and data strategy Function as the technical representative for the product during cross-team collaborative efforts and planning Identify and recommend opportunities for driving resolution of technology roadblocks including code, build and deployment while also managing overall software development cycle and security standards Act as an escalation partner for scrum masters and the teams to make decisions and help remove impediments, obstacles, and friction while encouraging constant learning, experimentation, and continual improvement culture Build engineering skills side-by-side in the codebase, conduct peer reviews to evaluate quality and solution alignment to technical direction, and guide design, as needed Interpret, develop and ensure security, stability, and scalability within functions of technology with low to moderate complexity, as well as identify, manage and mitigate technology and enterprise risk Collaborate and consult with the Product Managers/Product Owners to drive user satisfaction, influence technology requirements and priorities in the product roadmap, promote innovative and intelligent solutions, generate corporate value and articulate technical strategy while being a solid advocate of agile and DevOps practices Interact directly with third party vendors and technology service providers Manage allocation of people and financial resources for technology engineering including career development and performance management for engineers and managers on the team Hire, mentor and guide talent development of direct reports to build the specialized domain experience and skills required to effectively design and deliver innovative solutions for the most challenging supported product areas/products Desired Qualifications: 5+ years of software engineering experience with 3+ years of people management experience. Strong expertise in Python, Django, Object-Oriented Programming, APIs, microservices, and distributed systems. Deep experience with Google Cloud Platform (GCP) including Dataproc, GKE, Vertex AI, Workbench, BigQuery, Cloud Storage, and cloud-native architectures. Proven experience in Compute Optimization and FinOps , including workload sizing, capacity planning, resource optimization, utilization management, and cloud cost governance. Strong Platform Engineering experience building self-service developer platforms, reusable services, CI/CD pipelines, infrastructure automation, and internal developer platforms. Hands-on expertise with Hadoop, HDFS, PySpark, distributed computing, enterprise data platforms, and large-scale compute ecosystems. Experience designing, building, and managing Hybrid Compute Platforms spanning OpenShift (OCP), GCP, and on-prem environments, including workload placement and orchestration strategies. Strong expertise in Kubernetes, OpenShift, containerization, Infrastructure as Code (IaC), cloud infrastructure engineering, and platform operations. Experience developing and operating enterprise-scale AI/ML platforms supporting model development, validation, governance, and deployment workflows. Proven experience building GenAI-powered applications, AI agents, agentic workflows, AI copilots, and developer productivity solutions . Strong understanding of AI