Microsoft Hiring For Software Engineer- II Microsoft India 3-6 years Not Specified at India Full Time

Azure Big Data teams present interesting challenges in technologies such as big-data, cloud, storage, and open-source. We build reliable, highly scalable, and highly performing distributed systems for data analytics on Azure. In this role, you will be a part of the engineering team that owns Azure Databricks, a first party Microsoft Azure service used by millions of users.

As an engineer in the Azure Databricks team, you will:

• Help design and ship the next generation of REST API and Portal experiences for Azure Databricks.

• Design and implement high impact features for our customers.
• Partner with various engineering teams within Azure, like ARM (Azure Resource Manager), AAD (Azure Active Directory), Compute, Storage, and Networking.
• Help Azure expand to new geographies by deploying our services to new Azure regions.
• Relentlessly strive for efficiency, automation, and elimination of DevOps toil.
• Design, develop, and enhance telemetry pipelines and observability tools that provide visibility into the health of our systems.

• Solve complex problems with creative design and skilled diagnostics.

If you are a passionate, self-motivated engineer that wants to work with kind, smart professionals on hard technical problems, then come join us!

not all applicants will have skills that match a job description exactly. while having preferred qualifications make for a strong candidate, we highly encourage applicants with alternative experiences to apply. we are always looking for people who can bring new perspectives to the table!

basic qualifications

• bachelor’s or master’s degree in computer science, information technology, or related field.
• demonstrable experience in c#, javascript, or other similar programming languages.
• experience in developing rest based web services, with good knowledge of relevant best practices.
• 3 to 6years of technical experience in software engineering.

• experience building large scale cloud services or analytics solutions on large datasets.

preferred qualifications

• experience with microsoft azure or other cloud computing platforms like aws or gcp.
• experience with frontend frameworks like react, or other similar frameworks like angular, vue.js etc.
• hands-on experience with workload orchestration platforms like kubernetes, apache mesos, nomad, etc.

• good understanding of design, cloud architectural patterns and distributed systems.
• experience in building data pipelines, collecting metrics/logs, and visualizations.