Engineer I
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Description and Requirements
•Assist in the collection and documentation of user requirements as well as the development of user stories and estimates with software, strategic platforms and/or COTS. •Assists in developing, testing, implementation and support of application systems of a less complex nature.
•Responsible for front or backend software development, front SaaS and/or COTS development, with oversight.
•Participate in peer reviews of solution designs, related code, and/or related SaaS and/or COTS configuration.
•Assist in the investigation and resolution of production management incidents, problems, and service requests (in partnership with SaaS providers for Platforms).
•Participates in the support of production applications/platforms (in partnership with SaaS providers for Platforms). •Identifies innovative solutions to technical challenges
Job ID: 107484927
Skills:
Apis, Data Governance, middleware, Calculated Insights, Data Streams, Salesforce AI technologies, AI capabilities, Identity Resolution, ETL technologies, master data concepts, Agentforce, Document AI, CRM Analytics, Salesforce Data Cloud
Skills:
BigQuery, DataFlow, Python, Sql, API scripting, Airflow, Composer DAGs, Google Cloud SDK
Skills:
telemetry , power optimization , Java, C, Operating Systems, Performance Engineering, Javascript, Windows Internals, Azure, Python, Statistical Analysis, performance-analysis tools, low-level debugging, reliability engineering, experimentation, cloud data platforms, system-level development, Performance Analysis
Skills:
Application configuration and deployment processes, Cloud-based middleware and enterprise integration patterns, SAP BTP Integration Suite, Collaborating with diverse technical teams to deliver scalable solutions, Designing and implementing integration flows and APIs within cloud environments
Skills:
.NET, Prometheus, Grafana, Datadog, Nosql, Jmeter, Docker, Terraform, Sonarqube, Loadrunner, Python, AWS, Java, Bash, Amazon CloudWatch, Sql, Solarwinds, Gcp, Dynatrace, Splunk, Azure, Kubernetes, Go, MLflow, OpenTelemetry, Azure Chaos Studio, AWS Fault Injector, k6, Google Cloud Operations, ArgoCD, Azure Monitor
