Job Overview

Microsoft is hiring a Senior Software Engineer for its CoreAI organization in Bangalore. The position is part of the Responsible AI group, which develops services designed to identify, measure, reduce, and monitor risks associated with AI-generated and human-generated content across text, image, audio, video, and multimodal experiences.

This is a senior individual contributor role focused on building customer-facing AI services that need strong performance, low latency, high availability, security, and operational reliability. The engineer will work with software engineers, scientists, product managers, and other technical teams to develop new services and connect them with Microsoft AI platforms and services.

The role offers an opportunity to work across the software development lifecycle, from architecture and implementation to testing, deployment, telemetry, incident response, and continuous improvement. Engineers will also be expected to use AI-assisted development responsibly, improve engineering practices, and contribute to secure and reliable production systems.

Key Responsibilities

• Design and evolve architectures for complex AI service scenarios while considering scalability, performance, reliability, disaster recovery, security, privacy, compliance, and operating costs.
• Develop production-quality software using strong engineering practices and one or more supported programming languages.
• Build and integrate customer-facing AI services with existing Microsoft AI platforms and services.
• Own features and services from initial design through implementation, testing, deployment, monitoring, and operational support.
• Conduct high-quality code reviews and apply secure, testable, performant, and diagnosable development practices.
• Use automated analysis, debugging, telemetry, and engineering feedback to improve software quality.
• Create and improve engineering automation, developer tools, security controls, monitoring, and operational processes.
• Support safe releases through experimentation, controlled rollouts, dependency management, rollback planning, and measurable success criteria.
• Improve service reliability through instrumentation, observability, playbooks, post-incident analysis, and systemic fixes.
• Take ownership of production issues and participate in on-call responsibilities while following service-level expectations.
• Work with internal and external stakeholders to understand customer requirements, including security and privacy needs.
• Establish measurable feedback loops using technical, operational, and customer signals.
• Influence technical direction through architecture discussions, design reviews, and cross-team collaboration.
• Mentor engineers and help raise engineering standards across the organization.

Required Skills

Candidates should have at least 6 years of professional software engineering experience with strong hands-on development in languages such as C# or Python. The role requires a strong foundation in software design, system architecture, data structures, algorithms, and development of scalable and secure services.

Applicants should have experience owning complex software features or services across the complete lifecycle. This includes architecture and implementation, testing, deployment, production monitoring, troubleshooting, and operational support.

Knowledge of cloud-based and distributed systems is important. Candidates should understand reliability engineering, performance optimization, diagnostics, telemetry, and live-site support. Experience applying secure coding practices and meeting security, privacy, and compliance requirements is also expected.

Preferred Skills

Microsoft's preferred profile includes deeper technical engineering experience, with 8 or more years for candidates holding a Bachelor's degree, or 6 or more years for candidates with a Master's degree. Strong architectural judgment and the ability to optimize, debug, refactor, and guide technical decisions are valuable.

Leadership experience is also preferred. This may include mentoring engineers, influencing architecture across teams, leading technical decisions, or acting as a directly responsible individual for reliability and operational excellence.

Exposure to AI platforms, large language models, and core machine learning concepts is preferred. Candidates who can apply these concepts while designing scalable, secure, and intelligent software services may be especially well aligned with the role.

Education

A Bachelor's degree in Computer Science, Engineering, or a related technical field is required, or candidates may qualify through equivalent practical experience. A Master's degree is relevant to the preferred experience pathway described in the posting.

Experience

The minimum stated professional software engineering experience is 6 years. Candidates should demonstrate strong hands-on development experience and the ability to deliver complex services end to end.

For the preferred qualification, Microsoft specifies 8 or more years of technical engineering experience for candidates with a Bachelor's degree, or 6 or more years for candidates with a Master's degree.

Required Technologies

• C#
• Python
• Azure
• Azure AI Content Safety
• Azure OpenAI Service
• Azure AI Studio
• Azure ML
• Microsoft Cognitive Services
• Artificial Intelligence
• Large Language Models
• Machine Learning
• Cloud Computing
• Distributed Systems
• Data Structures
• Algorithms
• Telemetry
• Observability
• Security as Code
• Automated Testing
• Diagnostics

The job description does not require a single specific programming language, so candidates may demonstrate equivalent professional experience in another relevant language where applicable.

Soft Skills

Strong technical communication is important because the role requires collaboration across engineering, science, product, and stakeholder groups. Candidates should be able to explain complex technical decisions clearly and respectfully while helping teams reach shared goals.

Strategic problem solving is another key requirement. Engineers should be comfortable working with ambiguous problems, evaluating alternatives, using data to guide decisions, and identifying improvements that increase product or service quality.

Technical leadership and mentoring are expected at this level. The successful candidate should be able to influence architecture, provide useful code review feedback, guide engineering decisions, and help other engineers grow.

Benefits of Working in this Role

This role provides exposure to Microsoft's CoreAI organization and Responsible AI engineering, including customer-facing services connected with major AI platforms. Engineers can work on systems where performance, availability, security, privacy, and responsible AI considerations are central to product development.

The position also provides opportunities to strengthen skills in distributed cloud systems, AI services, software architecture, observability, reliability engineering, secure development, and technical leadership. Working with engineers, scientists, and product managers can provide broad exposure to AI platform development and complex engineering problems.

Work Mode

The role requires 3 days per week in the office. The job listing identifies the work site as Bangalore and describes an in-office schedule of three days per week, making this a hybrid work arrangement.

Location

Bangalore, Karnataka, India.

Who Should Apply

This opportunity is suitable for Senior Software Engineers, Software Architects, Cloud Engineers, AI Platform Engineers, Distributed Systems Engineers, and experienced backend or platform developers who have strong software engineering fundamentals.

Candidates with 6 or more years of professional software engineering experience should consider applying. Experience with C# or Python, scalable services, distributed systems, cloud platforms, secure development, telemetry, and production operations is particularly relevant.

Professionals with exposure to AI platforms, LLMs, machine learning, Responsible AI, or high-performance cloud services may have an additional advantage.

Career Growth

The role can support growth toward advanced technical leadership and architecture responsibilities. Engineers will have opportunities to influence system design, lead complex technical work, mentor peers, and contribute to engineering standards.

Experience across AI services, cloud architecture, reliability, security, observability, and customer-facing systems can also strengthen a senior engineer's ability to take ownership of large technical areas and guide cross-team solutions.

Application Advice

For this Microsoft Senior Software Engineer opportunity, tailor your resume around measurable software engineering outcomes. Highlight complex services or features you have owned from architecture through production operation, rather than listing technologies without context.

Clearly show your experience with C# or Python, distributed systems, scalable architecture, algorithms, data structures, testing, deployment, telemetry, diagnostics, and production support where applicable. Include examples of improving performance, reliability, security, or operational efficiency.

If you have worked with Azure AI services, Azure OpenAI Service, Azure AI Content Safety, Azure AI Studio, Azure ML, LLMs, or machine learning concepts, make that experience easy to identify. Also describe architecture leadership, mentoring, cross-team influence, and incident ownership when relevant.

The role requires Microsoft and applicable customer or government security screening, including a Microsoft Cloud Background Check. Review the official Microsoft listing for the latest application and screening details before applying.