Senior Lead Software Engineer - SRE

United States Digital Space LLC; Karnataka; On-site; INR 2,000,000 - 5,000,000; Full time

Job summary

United States Digital Space LLC is seeking a Senior Lead Software Engineer to join the Employee Platforms Team. You will help enhance, build, and deliver trusted technology products in a secure, scalable way while guiding teams and driving AI-assisted engineering practices.

The role emphasizes solving complex problems independently, applying deep technical expertise, and contributing to firmwide SDLC frameworks and tooling.

Qualifications

• Formal training or certification on software engineering concepts.
• 5+ years of applied experience in software development.

Responsibilities

• Provides technical guidance to teams, contractors, and vendors.
• Develops secure, high-quality production code and reviews others' code.
• Drives AI-assisted engineering practices across teams to improve quality and delivery.

Skills

Advanced programming languages

AI-assisted development tools

Secure coding practices

SRE techniques

Independent problem solving

Team guidance

Education

Software engineering certification/training

Tools

AI-assisted tools

SDLC toolchain

Grafana

Databricks

Job description

JOB DESCRIPTION

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at the company within the Employee Platforms 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job Responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle

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 languages.
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.
• Proficiency in Infrastructure and Site Reliability Engineering Techniques
• Ability to tackle design and functionality problems independently with little to no oversight

Preferred qualifications, capabilities, and skills

• Practical cloud native experience
• Knowledge of SRE concepts such as SLO/SLI, customer user journeys
• Knowledge of observability tools such as Grafana
• Knowledge of Databricks