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Job Summary
As a Platform Engineer, you will be responsible for building and maintaining the foundational infrastructure and tools that enable scalable, secure, and efficient software development and deployment. You'll work closely with development, DevOps, and security teams to ensure platform reliability and performance
Key Responsibilities
Design, build, and maintain cloud-native infrastructure using tools like Terraform, Kubernetes, and Docker. Develop automation scripts and CICD pipelines to streamline deployment processes
Monitor system performance and troubleshoot issues across environments. Implement security best practices and ensure compliance with internal policies. Collaborate with software engineers to optimize application performance on the platform
Maintain documentation and provide support for platform-related tools and services
Required Qualifications
Bachelor's degree in Computer Science Engineering or related field
2-4 years of experience in platform engineering, DevOps, or infrastructure roles
Proficiency with cloud platforms AWS, Azure, and GCP
Experience with containerization and orchestration tools, Docker, Kubernetes
Strong scripting skills, Python, Bash etc
Familiarity with monitoring tools, Prometheus, Grafana, and ELK stack
Preferred Skills:
Experience with Infrastructure as Code, Terraform, CloudFormation. Knowledge of networking and security principles Exposure to AgileScrum methodologies, strong problem-solving and communication skills
Job ID: 150718593
Skills:
monte carlo , snowflake , Sqlalchemy, Kafka, Apache Airflow, Kinesis, Neo4j, Python, BigQuery, Redshift, Sql, Pandas, Spark, Databricks, pgvector, Polars, Acceldata, Great Expectations, vector databases, Pinecone, Prefect, Chroma, Marquez, SoDA, LangChain, DataHub, dbt, OpenLineage, Weaviate, LlamaIndex
Skills:
Pyspark, Tableau, Databricks, AWS
Skills:
data vault , privacy compliance , Java, Data Modeling, Dimensional Modeling, Sql, Mapreduce, ELT, Data Quality, Hive, Distributed Computing, Presto, Spark, Data Governance, Python, Etl, AI Tools, Snowflake Schema, Workflow Orchestration, Cloud-based AI Services
Skills:
containerization , Java, Kafka, Python, Microservices, AWS, Generative AI, orchestration tools, event-driven systems, large language models, real-time data streaming
Skills:
Spark, Databricks, Data Warehouse Architecture, AWS, Doris, MaxCompute, Alibaba Cloud DataWorks, data warehouse modeling, StarRocks, big data architectures
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