Software Engineer III - Application Support

United States Digital Space LLC; Karnataka; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

United States Digital Space LLC is seeking a Software Engineer III to join an agile team delivering trusted market-leading tech products in a secure, scalable way. You will design, develop and maintain enterprise-scale software across multiple domains to support the firm’s business objectives.

You will drive end-to-end delivery, contribute to architecture, work with data analytics, and promote SRE best practices while leveraging AI-assisted development tools and automation to improve quality and

Qualifications

• 3+ years of applied software engineering experience.
• Experience with system design, development, testing and production stability.
• Strong coding skills in one or more modern languages.
• Experience with SDLC, end-to-end delivery and enterprise-scale code.
• Agile experience including CI/CD, app resiliency and security practices; exposure to cloud/AI/ML.
• Excellent communication and stakeholder management skills.
• Ability to re-engineer/modernize while delivering business value.
• SRE expertise: reliability, scalability, performance, security and toil reduction.

Responsibilities

• Deliver end-to-end software solutions with strong problem decomposition.
• Build and maintain secure, high-quality production code including integrations.
• Produce architecture/design artifacts for complex applications.
• Analyze large datasets to create insights, visualizations and reporting.
• Identify issues and improve coding hygiene, reliability and architecture.
• Define and operationalize SLOs/SLIs with stakeholders; monitor regularly.
• Drive delivery excellence through self-learning and robust release management.
• Leverage enterprise AI coding tools to boost quality and speed with peer review.

Skills

System design

Application development

CI/CD

SRE practices

Security practices

Cloud AI/ML

Communication skills

Agile methods

Tools

Docker

Kubernetes

Jenkins

GitLab

Terraform

Job description

JOB DESCRIPTION

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at the company within the Commercial & Investment Bank, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

• Deliver end-to-end software solutions (design, development, troubleshooting) with strong problem decomposition and innovative thinking beyond routine approaches.
• Build and maintain secure, high-quality production code, including synchronous integrations and algorithm maintenance.
• Produce architecture/design artifacts for complex applications and ensure implementation adheres to design constraints.
• Analyze large, diverse datasets to create insights, visualizations, and reporting that drive continuous improvement.
• Proactively identify hidden issues/patterns and use them to improve coding hygiene, reliability, and system architecture.
• Champion site reliability culture: define, educate, and operationalize SLOs/SLIs/error budgets with product, engineering, and stakeholders; monitor and review regularly.
• Drive delivery excellence through self-learning, issue/blocker resolution, and robust change & release management practices.
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• 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.
• Lead cross-team operational responsibilities including hosting platform/infrastructure planning, data center migrations, partner engagements, audits/application hygiene, and contribute to engineering communities, knowledge sharing, and inclusive, resilient team culture.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on experience across system design, application development, testing, and production/operational stability.
• Strong coding skills in one or more modern programming languages.
• Proven ability to develop, debug, and maintain enterprise-scale code, including database querying. Solid understanding of the Software Development Life Cycle (SDLC) and end-to-end delivery.
• Practical experience with Agile ways of working, including CI/CD, application resiliency, and security practices. Exposure to modern technical domains such as cloud, AI/ML, and/or mobile, and their supporting technical processes.
• Excellent communication and stakeholder management, adapting messages for senior business and junior technologists.
• Pragmatic mindset to drive technical re‑engineering/modernization while continuing business delivery.
• Deep expertise in SRE best practices: reliability, scalability, performance, security, enterprise architecture, and toil reduction; able to promote SRE culture within the team.
• Hands‑on experience using enterprise‑authorized AI-assisted software development tools within the work environment (e.g., for x  ??…...??...??
• Strong operational tooling knowledge: file transfers, SSL/certificates, load balancers, job scheduling, monitoring, backup/capacity, plus containers/orchestration (Docker/ECS/Kubernetes), CI/CD tools (Jenkins/GitLab/Terraform), and network troubleshooting; experience with enterprise-authorized AI-assisted dev tools and responsible AI use (validation, security, data sensitivity).

ABOUT US