Overview
Senior Software Development Engineer role at Workday. About The Team: Do you want to help shaping the state-of-the-art Observability capabilities of Workday? We enable real time insights of the health of Workday’s applications. Our focus is on the development of a large scale observability platform to support critical Workday applications. Our platform helps the Workday applications to be highly available and derive insights into data with highly efficient utilization of data services.
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Responsibilities
Architect, design and build critical Kubernetes-orchestrated Observability services with high reliability and availability at scale.
Drive significant technology initiatives end-to-end and across the Workday technology organization.
Build data processing pipelines to ingest, process, enrich and store various observability data.
Work on aspects of data processing with a keen eye for data quality, data integrity and data availability.
Build and maintain ingestion, storage and querying solutions based on EMR (especially Spark Streaming) and ElasticSearch, among other technologies.
Evaluate/implement new open source and cloud native tools and technologies.
Provide technical leadership and be a role model to software engineers pursuing technical career path in engineering
Participate in the on-call rotation for the services owned by the team.
About You
Basic Qualifications
You love building distributed applications that make use of innovative technologies such as containerisation, public clouds, etc.
5+ years of building high performance data ingestion software and solving for concurrency, latency and efficiency.
Strong systems engineering background and a consistent record of delivering high quality products at scale.
Experience with at least one of the following software development languages (in no particular order): Golang, Python and Java.
You have an understanding of high large scale data capture and collection systems, how to design APIs around these systems, and how to ensure reliable delivery of data.
Ability to prioritize multiple tasks in a fast-paced environment.
Solid troubleshooting skills.
Able to influence and communicate effectively with both technical and non-technical people
You have excellent interpersonal, technical and communication skills.
Other Qualifications
Experience working with Public cloud AWS (preferred) and GCP.
Experience with Elasticsearch and EMR
Hands on experience with Kubernetes, Containers, Service Mesh and related technologies.
Experience with Cloud infrastructure automation - Terraform, ArgoCD, Chef, etc
Experience in concurrency, algorithms, distributed memory management, communication protocols, distributed programming
Strong mentoring skills
Our Approach to Flexible Work
With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you\'ll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote home office roles also have the opportunity to come together in our offices for important moments that matter.
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