Senior Software Engineer
Microsoft · Posted Nov 6
Software, cloud computing, artificial intelligence, and hardware services
India, Telangana, HyderabadFull-timeOnsiteSenior Level9+ years₹50.0L–₹85.0L yearly79 applicants
SoftwareCloud ComputingArtificial IntelligenceConsumer ElectronicsInformation TechnologyPublic Company
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About the role
Microsoft Frontier Company helps customers achieve measurable business outcomes through AI, engineering, and transformation at scale. Within Frontier Company Operations, Business Excellence advances its vision through Delivery Excellence, an AI-native operating system for pursuing, delivering, governing, and realizing customer value. Execution Engineering is the engineering arm building intelligent products, platforms, agents, and experiences, and this Senior Software Engineer role designs, builds, operates, and evolves those solutions while providing technical leadership across Azure, Dynamics 365, and Microsoft 365.
What you will do
- Own the design, development, deployment, operation, and evolution of complex products, platforms, services, and intelligent agents across Microsoft cloud platforms including Azure, Dynamics 365, and Microsoft 365.
- Translate business and technical requirements into robust solution designs and make sound engineering trade-offs across scalability, reliability, security, maintainability, performance, and cost.
- Provide technical leadership for features and solution areas, driving design decisions and contributing to architecture direction and engineering patterns.
- Apply and advance AI-native and Agentic Software Engineering practices, automation, and AI-assisted SDLC capabilities to improve engineering productivity, quality, and delivery velocity.
- Partner with Product Management, partner engineering teams, Service Owners, and cross-functional stakeholders to shape technical solutions and deliver customer and business outcomes.
- Drive engineering quality through design and code reviews, testing, reusable patterns, technical standards, and systematic reduction of technical debt and defect patterns.
- Improve service reliability, observability, scalability, performance, and operational excellence through automation, telemetry, monitoring, testing, resiliency engineering, and proactive risk management.
- Lead investigation and resolution of complex production incidents, performance bottlenecks, reliability issues, and recurring operational problems.
- Use production telemetry, operational insights, customer feedback, and engineering data to guide technical decisions, prioritize improvements, and evolve product experiences.
- Champion secure, privacy-aware, accessible, compliant, and maintainable engineering practices throughout the product and service lifecycle.
- Mentor engineers through technical guidance, reviews, knowledge sharing, and adoption of modern engineering practices and emerging technologies.
- Identify opportunities for modernization, reuse, platform leverage, cost optimization, and engineering process improvements across solutions and teams.
- Work across team boundaries to resolve dependencies, influence technical outcomes, and deliver successful end-to-end solutions.
- Embody our culture and values.
Skills used in this role
What the employer is looking for
- 9+ years of experience in software engineering, including design, development, deployment, operations, and lifecycle management of enterprise-grade applications and services.
- Good experience with modern software engineering practices, SDLC platforms, engineering toolchains, DevOps, DevSecOps, Open Source/InnerSource, and AI-assisted engineering.
- Hands-on experience applying Agentic Software Engineering capabilities across development, testing, deployment, operations, and continuous improvement workflows.
- Good technical expertise in one or more of the following technologies: .NET, SQL, Cosmos DB, Python, Azure CLI, PowerShell, YAML, Node.js, React.js, and cloud-native application architectures.
- Good experience building, deploying, operating, and evolving enterprise applications and services on Microsoft Azure.
- Experience designing intelligent, context-aware applications using Language Models (LLMs/SLMs), agent frameworks, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), or related agentic technologies.
- Ability to develop and review technical specifications, architecture diagrams, solution designs, data models, and infrastructure blueprints.
- Good understanding of distributed systems, database design, data modeling, API and service patterns, and cloud application architectures.
- Demonstrated ability to make technical design decisions that balance security, reliability, scalability, maintainability, performance, and cost efficiency.
- Proven ability to troubleshoot complex production issues and improve highly available, observable, reliable, and secure services.
- Ability to use customer insights, telemetry, operational metrics, and engineering data to drive technical decisions and quality improvements.
- good ownership and accountability for product and service quality, reliability, security, accessibility, compliance, and end-user experience.
- Good technical leadership, collaboration, communication, and mentoring skills, with the ability to influence technical outcomes across teams.
- Microsoft certifications such as AZ-204, AZ-400, AI-102, or equivalent Azure and AI certifications preferred.
- Bachelor's Degree in Computer Science, Engineering, Information Technology, or related technical field, or equivalent practical experience.
- 9+ years of professional software engineering experience designing, building, deploying, and operating enterprise applications, platforms, or services.
- 5+ years of experience building and operating cloud-native solutions on Microsoft Azure, Dynamics 365, or Microsoft 365.
- Proven software development experience using technologies such as C#, Java, JavaScript/TypeScript, Python, or equivalent programming languages.
- Experience designing and delivering secure, scalable, reliable, and maintainable enterprise software solutions.
Preferred qualifications
- Experience providing technical leadership for complex features, services, or solution areas and influencing architecture and design decisions.
- Experience building AI-native solutions using LLMs, agentic frameworks, RAG, MCP, multi-agent patterns, or modern AI engineering practices.
- Experience applying Agentic Software Engineering, DevSecOps, platform engineering, and modern SDLC practices.
- Experience driving engineering quality, reliability, observability, technical debt reduction, and operational excellence improvements.
- Experience leveraging customer insights, telemetry, and operational data to improve product and engineering outcomes.
- Good influence, communication, collaboration, and mentoring skills across engineering and product teams.
- Microsoft Azure and AI certifications (AZ-204, AZ-400, AI-102, or equivalent) are preferred.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Microsoft
Microsoft Corporation is a multinational technology company that develops, licenses, and supports a wide range of software products, services, and hardware devices. Best known for its Windows operating systems, Microsoft 365 productivity suite, and Xbox gaming consoles, the company has expanded heavily into enterprise cloud computing via Azure and advanced artificial intelligence solutions. As one of the world's most valuable public enterprises, it empowers individuals and businesses globally through innovative digital transformation.
- Industry
- Software
- Company size
- 228,000+ employees
- Founded
- April 4, 1975
- Location
- Redmond, Washington, USA
- Funding stage
- Public Company
Leadership
SN
Satya Nadella
Chairman and Chief Executive Officer
AH
Amy Hood
Chief Financial Officer
BS
Brad Smith
Vice Chair and President
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