Note : It’s 3 days working from Client Office mandatory.
Candidate need to share selfie along with PANCARD ,
Share your CV to : Jobs@archipeltechnologies.com
1) Gen AI , Agentic AI
Location : Gurgaon.
Experience : 6+ yrs.
Max salary – 18 LPA
Skills : Primary skills required are GenAI, Agentic AI and MCP. Secondary skills can be Machine Learning.
2) Big Data + GCP Engineer with GKE n Fast API.
Location : Gurgaon.
Experience : 6+ yrs.
Max salary – 22 LPA
We are looking for energetic, high-performing and highly skilled Big Data + GCP Design, develop, and deploy scalable applications on the Google Cloud Platform using Java 8 & above and Big Data technologies- In-depth understanding of Google Cloud Platform services and architecture. Strong programming knowledge in Pyspark, Data processing ·Hands-on experience in Big Data technologies (Spark, Hive, MapReduce and Hbase)·Understanding and experience with UNIX / Shell / Perl / Python scripting· Proficiency in developing and deploying applications on GCP using services such as Compute Engine, App Engine, Cloud Functions, Big Query, Cloud SQL, DataProc, DataFlow etc.·Database query optimization and indexing· Relational Database (PostGreS / MySQL / DB2 etc), GKE (Google Kubernetes Engine ), Exp in FastAPI.
3) Google Fullstack Architect.
Location : Gurgaon and Exp: 10+yrs
Max salary – 30 LPA
Holds GCP Professional Cloud Architect certification along with 1 Professional GCP certification like Data Engineer or Cloud Developer
b. Designing and developing GCP Native data and application solutions using services like GCS, GKE, PubSub, Composer, Bigquery, Bigtable, CloudSQL, FTP, IAM, networking, IAM, Secret Manager etc.
c. Able to define/select technology stack for a data/application solution along with tradeoffs related cost, performance, high availability & disaster recovery
d. Experience with Github Workflows and Terraform Cloud/Enterprise e. Able to define and draw – HLD and LLD diagrams for entire solution stack
Google Fullstack Developer.
Location : Gurgaon and Exp: 6+yrs
Proficient in Python programming. Knowledge of API Development frameworks like FastAPI, Flask etc. Knowledge in GCP Client libraries usage using Python for GCP services like Bigquery, Bigtable, Cloud Storage experience. etc.
Understanding of GCP Basics along with at least 1 GCP foundational certification
Knowledge on API Development concepts, lifecycle, authentication and authorization concepts, API middleware knowledge, logging, tracing with open telemetry, microservice development using Docker or similar containerization technology
Knowledge on GCP Composer – Able to write Airflow DAGs using Python. Basics of Dataproc
Proficient with Bigquery – SQL queries, partitioning, UDF, clustering, standard bigquery functions, joins, Bigquery IAM, Bigquery Query federation
Decent knowledge on Python code conventions like PEP8
Unittesting using pytest or similar framework. Knowledge on Githooks, API integration with other internal systems
Good to have: GenAI with GCP Vertex AI, Gemini, hands on with LangChain framework
Experience in Banking domain is a plus
