Lead Software Engineer - Pyspark, AWS, Databricks

United States Digital Space LLC; Karnataka; On-site; INR 2,000,000 - 3,600,000; Full time

Job summary

United States Digital Space LLC is seeking a Lead Software Engineer to join an agile team building trusted market-leading technology in a secure, scalable manner. You will contribute across design, development, testing, and operations while promoting AI-assisted engineering practices and secure coding standards.

The role requires deep SDLC proficiency, cloud-native experience, and strong collaboration with vendors and internal teams to drive architecture decisions and outcomes.

Qualifications

• 5+ years of software engineering experience and formal training.
• Experience in system design, application development, testing, and operational stability.
• Proficient in at least one programming language.
• Experience with Pyspark, AWS, Databricks, and Gen/Agentic AI skills.
• Experience leading use of AI-assisted development tools with validated AI outputs.

Responsibilities

• Executes creative software solutions, design, development, and debugging.
• Develops secure production code and reviews code.
• Drives AI-assisted engineering practices to improve code quality, speed, and reliability.
• Applies SDLC tools and automation to improve value and efficiency.
• Identifies opportunities to automate recurring issues to improve stability.
• Leads evaluation sessions with vendors and teams on architecture and integration.

Skills

Software engineering concepts

System design

Application development

Testing

Operational stability

AI-assisted engineering

CI/CD

Security

Cloud native

Financial services IT

Data security

Tools

Pyspark

AWS

Databricks

Gen/Agentic AI

MCP

GKP

Kafka

React

Java

Job description

JOB DESCRIPTION

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at the company within the Commercial and Investment Bank Technology Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.

Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s)
• Experience in Pyspark, AWS, Databricks, Gen/Agentic AI skills, MCP
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience

Preferred qualifications, capabilities, and skills

• Experience in Java, React, GKP, Kafka