Software Engineer/Senior Software Engineer
About the job
- A Bachelor's Degree in Computer Science or a related technical field and 2+ years of technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
- Design, build, and operate distributed services and microservices on Azure using services including App Service, Azure Kubernetes Service, Functions, Service Bus, Cosmos DB, and Azure SQL.
- Own features end-to-end, including requirements, design, implementation, testing, deployment, and live-site support.
- Contribute to platform capabilities for offer publishing, catalog, search, purchase, fulfillment, metering, and billing.
- Integrate artificial intelligence capabilities such as natural language processing, semantic search, and intelligent agents using Azure OpenAI, Semantic Kernel, or equivalent frameworks.
- Drive performance, scalability, and cost-efficiency through telemetry, asynchronous input/output, and system profiling.
- Ensure robust data validation, schema enforcement, and compliance with privacy and security standards.
- Collaborate across disciplines to define technical requirements, review designs, and deliver high-quality software.
- Mentor junior engineers and promote engineering best practices across the team.
- Participate in an on-call rotation, investigate and resolve live-site incidents, and drive root-cause fixes that improve reliability.
- Contribute to DevOps practices including continuous integration and continuous delivery pipelines, automated testing, telemetry, and safe deployment practices.
- 3–5 years of experience in software engineering, preferably in cloud-scale or AI-enhanced services.
- Proficiency in C#, Python, or JavaScript and familiarity with cloud platforms such as Azure or Amazon Web Services.
- Experience designing and consuming REST APIs and working with relational and/or NoSQL data stores.
- Fundamentals in data structures, algorithms, distributed systems, and debugging.
- Experience with artificial intelligence development tools and frameworks such as OpenAI APIs, transformers, and semantic search.
- Understanding of continuous integration and continuous delivery pipelines, GitHub workflows, and infrastructure as code.
- Problem-solving, communication, and collaboration skills.
- Demonstrated ability to lead design efforts and deliver production-grade solutions.
- Experience building or operating large-scale cloud services on Azure or another major cloud platform.
- Familiarity with commerce, billing, or marketplace/storefront systems.
- Experience with Kubernetes, event-driven architectures, or high-throughput data pipelines.
- Experience building large language model-powered applications, retrieval-augmented generation pipelines, prompt engineering, agent frameworks such as Semantic Kernel and LangChain, or fine-tuning, with attention to evaluation, latency, and cost.
- Written communication experience involving design documents, postmortems, and customer-facing release notes.
- Contributions to live-site and site reliability engineering practices, including monitoring, alerting, and incident response.
About the company
Microsoft develops software, devices, and cloud services. Windows is an operating system that runs on personal computers, Office provides productivity apps, and Azure offers cloud computing and developer tools. The company differentiates itself with a large, integrated ecosystem of software, devices, and services, plus long-standing partnerships with PC makers and a broad enterprise footprint. Its goal is to put a computer on every desk and in every home, and to extend that reach through cloud services, professional networking (LinkedIn), and gaming.
Company Size
10,001+
Company Stage
IPO
Headquarters
Redmond, Washington
Founded
1975
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Simplify's Take
What believers are saying
- Microsoft AI business reached $37 billion ARR in Q3 FY2026, up 123%.
- Microsoft 365 Copilot surpassed 30 million paid seats in FY2026, expanding monetization.
- LinkedIn revenue grew 12% in FY2026, adding resilient cash flow outside cloud.
What critics are saying
- Copilot adoption disappointment triggered January 2026 lawsuits over misleading Azure and AI claims.
- Senior exits continue, including Roslansky and Peter Lee, signaling leadership instability into 2026.
- GitHub Copilot’s usage-based billing exposes customers to higher AI costs and churn risk.
What makes Microsoft unique
- Azure exceeded $100 billion in FY2026, pairing cloud scale with enterprise distribution.
- Microsoft Cloud reached $214 billion in FY2026, anchored by Office, GitHub, and Dynamics.
- Security Copilot customers doubled year over year, reinforcing Microsoft’s integrated security stack.
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Benefits
Health Insurance
Dental Insurance
Vision Insurance
401(k) Company Match
Professional Development Budget
Conference Attendance Budget
Flexible Work Hours
Remote Work Options
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 0%2 year growth
↑ 0%Microsoft has launched Microsoft-Decision-1, its entry into the growing decision model market sparked by TypeSafe AI's Jev three weeks ago. Decision models are language models designed to provide structured, probability-based responses rather than open-ended text. The first version is based on Qwen3.5-9B from Alibaba Cloud's Qwen model family. Microsoft said it will soon rebase the model on its own technology and OpenAI's models, though no reason was given for the initial Chinese foundation. Microsoft claims its model is 2.5 times faster than H2O-Lightning-4B and 2.8 times faster than Jev, with 83.5% accuracy across 36 benchmarks. It costs $0.042 per million input tokens, with free output tokens, making it over 20 times cheaper than OpenAI's GPT-6 Sol for text classification. The model is available via Microsoft Foundry, with OpenRouter access coming soon.
Microsoft shares rose approximately 1.4% to $529.97 on Friday after the company unveiled plans to run AI directly on PCs. The initiative combines local AI models with cloud integration, featuring Microsoft Execution Containers that limit desktop agent access and Copilot technology splitting tasks between device and cloud. The company launched its Surface Laptop Ultra, priced between $2,599 and $5,899. Anthropic, OpenAI and Nvidia plan to adopt the security technology. The move presents a strategic trade-off for Microsoft. Whilst local AI offers faster responses and enhanced data security, it could reduce demand for Azure inference workloads. Success depends on stronger Windows adoption, premium device sales and sustained cloud usage to offset potential Azure revenue impacts.
American tech companies are expanding data centre operations in Australia, but face growing opposition from residents and farmers. Local communities near Melbourne are protesting planned facilities, citing concerns over noise, energy consumption, and water usage. Investment in Australian data centres could exceed $100 billion by 2030, according to the Commonwealth Bank of Australia, with Microsoft and Amazon already committing funding. Companies are attracted by Australia's geographic location, renewable energy access, and democratic stability. However, the expansion faces obstacles. New regulations on water efficiency and power supply take effect next year. Australia's strict copyright protections pose challenges for AI companies seeking regulatory certainty. Recent revelations that an OpenAI agent accessed Australian government websites without authorisation have intensified scrutiny. Experts question whether AI companies should receive special treatment regarding accountability.
President Donald Trump presented the National Medal of Technology and Innovation to Microsoft CEO Satya Nadella on Thursday, hours after Vice President JD Vance suspended the company from a programme allowing green card applications for H-1B visa holders. Vance accused Microsoft of replacing 6,000 laid-off American workers with foreign employees, obtaining 6,300 H-1B visas and nearly 3,000 green cards last year. Microsoft, which employs 223,000 people globally, said most H-1B applications were for existing employees. Trump praised Nadella's three-decade contribution to Microsoft's transformation whilst making no mention of the visa controversy. Five of six tech leaders honoured were immigrants, including Elon Musk, Sergey Brin, Jensen Huang, and Lisa Su. Vance maintained the administration would "continue to support Microsoft and have a great relationship" with the company despite the suspension.
Worldwide spending on artificial intelligence is forecast to reach $2.59 trillion in 2026, up 47% from $1.76 trillion in 2025, according to Gartner. AI infrastructure accounts for $1.43 trillion this year, over 45% of total AI spending. The largest cloud and internet platforms are now committing more than $100 billion annually each to capital expenditures. Technology stocks have led the market, with the Nasdaq Composite up roughly 17% so far in 2026. Microsoft reported fiscal 2026 fourth quarter revenue of $90 billion, up 18%. Meta reported second quarter 2026 revenue of $60.80 billion, up 28% year over year. Broadcom reported third quarter fiscal 2026 revenue of $29.6 billion, up 86% year over year.