Senior Software Engineer, Consumer Banking

Developing containerized microservices for a distributed multi-tenant system

Processing data, real-time events, and network telemetry for insights and security

Work with clients on big data challenges

Deliver data engineering and data science projects

Work on solving big data challenges for clients

Deliver data engineering and data science projects

Design and build reference architectures

Guide customers on big data and AI deployments

Design and build reference architectures

Collaborate with engagement managers

Design and implement containerized microservices in AWS environment

Lead relational DB design with performance optimization

Design and implement scalable, high-performance backend apps

Participate in code reviews and collaborate with teams

Lead advanced penetration testing

Define offensive security strategy

Responding to and resolving customer inquiries efficiently

Contributing to self-serve knowledge base

Serve as primary security representative in customer engagements.

Articulate security architecture, controls, and risk management approach.

Promote and enforce information security practices

Identify and report security risks

Lead cloud engineering team in developing microservices for a multi-tenant platform.

Ensure performance, security, and reliability in cloud service development.

Define and enhance AI architecture for Service and Marketing capabilities

Lead development of backend systems and APIs for AI products

Lead integration projects effectively

Map customer needs to API capabilities

Lead technical vision for client projects

Design, develop, and deploy backend services and APIs

Build and maintain scalable data pipelines

Improve data models and schema design

Break down large projects into manageable tasks and deliver them in phases

Collaborate with product, design, and analytics teams on ideation and decisions

Develop containerized microservices for a distributed system

Process data, real-time events, and network telemetry across clouds

Lead technical vision for client projects

Develop core backend services with Ruby, Go, and Python

Develop containerized microservices for a distributed multi-tenant system

Mentor junior engineers, new grads, and interns

Design and build core AI services for Marketing and Service AI

Implement scalable, low-latency backend APIs

Serve as primary security representative in customer engagements

Articulate security architecture and threat models

Lead advanced penetration testing activities

Perform security assessments on Cloud Infrastructure

Lead design and development of core Java backend services.

Optimize platform for high-throughput and low-latency workflows.

Define roadmap and strategy for ML Data Service platform

Architect scalable data systems

Design end-to-end data/analytics architecture

Architect scalable data platforms

Oversee planning and execution across multiple components

Mentor and grow engineers for career development

Define and drive ML Data Service roadmap and strategy

Architect scalable data ingestion and transformation processes

Own fleet reliability and define SLOs

Architect infra on GCP and AWS using Terraform for AI workloads

Promote and enforce information security practices

Identify and report security risks

Lead design and development of Java backend services

Optimize platform components for high-throughput workflows

Design and implement features with cross-functional teams

Build scalable frontend/backend code using specified technologies

Take ownership of quarterly goals and lead the engineering team

Collaborate with product, design, and analytics teams on ideation and decisions

Advance capabilities in various industries

Gain hands-on experience with key technologies

Build end-to-end social-channel experiences

Capture profiles, consent, and engagement data

Implementing and deploying LLM models for conversational agents

Collaborating with cross-functional teams for deployment and scalability

Lead team in building automated database operations

Orchestrate node lifecycles and cluster operations for DB systems

Showcasing Databricks' solutions to address business problems

Providing technical leadership for customer evaluation and adoption

Lead end-to-end migration of media workloads to AWS

Collaborate with stakeholders to set cloud requirements

Lead and manage a team of engineers effectively

Collaborate with cross-functional teams for ideation and constraints

Serve as the primary security representative in customer engagements.

Articulate security architecture, controls, and risk management across different layers.

Promote and enforce information security practices

Understand and evaluate data storage and processing

Lead and conduct advanced penetration testing

Provide expert guidance on security

Articulate business and technical value of Neo4j to customers

Lead technology evaluation stages in sales cycles

Architect and scale AI quality infrastructure

Design end-to-end AI evaluation framework with metrics

Develop reliable and optimized code

Collaborate to reduce technical debt and resolve customer issues

Lead design and implementation of scalable systems on AWS and Kubernetes

Support Java-based fintech apps powering core advisor tools

Implement and maintain standardized patching across various operating systems

Deploy patches using Tanium and troubleshoot deployment issues

Take ownership of DB and data warehousing infra

Optimize query performance

Lead and grow a team of engineers

Define and evolve platform architecture for scale