Kurali Punjab Aws cloud Jobs – 215 Open Jobs Today

DevOps Lead (GCP, AWS) – Data Engineering
Harmony Data Integration Technologies —Mohali, Punjab
- DevOps
- SQL
- AWS
Senior DevOp Guy
Green Fields Ltd —Mohali, Punjab
- Full-time
- Azure
- Software troubleshooting
- DevOps
Quick apply
Data Scientist
FARESPLANET TRAVEL PVT LTD —Landran, Punjab
- ₹20,00,000 - ₹25,00,000 a year
- Full-time
- Azure
- English
- SQL
- Health insurance
Quick apply
2d
DevOps Engineer
iApp Technologies —Mohali, Punjab
- Azure
- DevOps
- Master's degree
Sr. Data Engineer (Backend / Python / Cloud / DevOps)
Harmony Data Integration Technologies —Mohali, Punjab
- DevOps
- System design
- Databases
DevOps Engineer
Techrbm —Mohali, Punjab
- Full-time
- Azure
- DevOps
- Windows
Quick apply
1d
Associate Tableau Developer
Growth Natives —Mohali, Punjab
- ₹5,00,000 - ₹13,00,000 a year
- Full-time
- Azure
- Windows
- Databases
- Health insurance
- Paid sick time
Quick apply
System Admin & Devops Eng
Techno Deviser —Mohali, Punjab
- ₹15,000 - ₹25,000 a month
- Email
- Azure
- Computer Science
- DevOps
Quick apply
Staff Software Development Engineer (Backend - Java/API)
Zscaler —Mohali, Punjab
- System design
- Java
- AWS
Quick apply
DevOps Engineer
Kindlebit Solutions Pvt. Ltd. —Mohali, Punjab
- ₹30,000 - ₹70,000 a month
- Full-time
- Azure
- Microsoft Office
- AWS
Quick apply
Tech Lead
Relinns Technologies —Mohali, Punjab
- ₹25,00,000 - ₹30,00,000 a year
- Full-time
- Computer Science
- System design
- Master's degree
- Health insurance
- Flexible schedule
Quick apply
Junior Python Developer
Web Infinite Solutions Pvt. Ltd. —Mohali, Punjab
- Up to ₹15,000 a month
- Computer Science
- Software troubleshooting
- SQL
- Health insurance
Quick apply
Technology Lead
TRU IT —Mohali, Punjab
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
Senior DevOps Engineer
Essence Health —Chandigarh District, Chandigarh
- Up to ₹20,00,000 a year
- Full-time
- Azure
- DevOps
- AWS
Quick apply
Senior Sales Executive – AWS & DevOps Solutions
Aerin IT Services —Chandigarh, Chandigarh
- ₹12,650.91 - ₹42,471.55 a month
- Sales
- DevOps
- English
Quick apply
DevOps Engineer
Ditinus Technology —Sahibzada Ajit Singh Nagar, Mohali, Punjab
- Azure
- Computer Science
- Software troubleshooting
IT Manager
Amrit Deol Fitness & Nutrition —Mohali, Punjab
- Up to ₹6,00,000 a year
- Full-time
- Microsoft Access
- Azure
- Computer Science
Quick apply
Lead Software Engineer – Node.js / MERN
Relinns Technologies —Mohali, Punjab
- ₹25,00,000 - ₹30,00,000 a year
- Full-time
- Computer Science
- Software troubleshooting
- System design
- Health insurance
- Life insurance
Quick apply
2d
Software Architect – Laravel/React
Soft System Solution —Mohali, Punjab
- Full-time
- Databases
- AWS
- Software development
- Flexible schedule
Quick apply
3d
Senior Software Developer- React, AWS, Devops
Pyramid Global Technologies —Mohali, Punjab
- DevOps
- AWS

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DevOps Lead (GCP, AWS) – Data Engineering

Harmony Data Integration Technologies
Mohali, Punjab

Apply Now

Job details

Qualifications

CI/CD
Data modelling
Cloud infrastructure
Go
Kubernetes
Software deployment
DevOps
Spark
Encryption
Git
Google Cloud Platform
Bash (Unix shell)
SQL
Firewall
AWS
Docker
Cloud security
NIST standards
Terraform
Continuous integration
Software development
GitHub
ISO 27001
Apache
Kafka
Redshift
AI
Jenkins
GitLab
Communication skills
Data warehouse
Python
Identity & access management
Analytics

Full job description

We are looking for a highly skilled and motivated DevOps Lead to design, build, and operate scalable, secure, and highly available cloud and data platforms, primarily on Google Cloud Platform (GCP) with Amazon Web Services (AWS) as a secondary environment.

This is a hybrid platform role. Alongside core DevOps ownership – Terraform, Kubernetes, CI/CD, cloud security, and observability – you will also contribute substantially to our data engineering function: building and operating production Python data pipelines, orchestrating batch and streaming workflows, and owning the infrastructure that sits underneath our data platform.

The ideal candidate has spent several years building data pipelines as a data engineer and has since moved into a DevOps / SRE / Platform Engineering role, or has run platform engineering for data-intensive products. We are looking for someone who can credibly wear both hats: infrastructure and automation first, data engineering a close second.

DevOps & Cloud Infrastructure Responsibilities:

Design, implement, and manage cloud infrastructure across GCP and AWS using Terraform and other Infrastructure-as-Code practices.
Deploy and maintain Kubernetes clusters and manage application workloads using Helm and/or ArgoCD.
Build and enhance secure, scalable CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI, and ArgoCD.
Implement best practices in containerization using Docker, including image hardening and container runtime security.
Integrate quality gates in CI/CD, including automated testing, code coverage, and SonarQube configuration.
Ensure secure CI/CD processes, including secrets management, least-privilege access, and hardened build agents.
Implement and maintain cloud security best practices: IAM roles and policies, network segmentation, encryption, and vulnerability management.
Collaborate with security teams to embed DevSecOps practices (shift-left security, scanning in pipelines, policy-as-code).
Contribute to system architecture, monitoring, and observability using modern tools and practices.
Participate in incident response, post-incident reviews, and root cause analysis.

Data Engineering & Data Platform Responsibilities:

Design, build, and maintain production-grade ETL/ELT pipelines in Python for both batch and streaming workloads.
Build and operate workflow orchestration using Airflow / Cloud Composer, including scheduling, dependency management, retries, and alerting.
Develop and optimise data models and transformations in BigQuery (and equivalents such as Snowflake or Redshift), with attention to partitioning, clustering, and query cost.
Own the infrastructure and deployment lifecycle of data services – provisioning, autoscaling, upgrades, and cost management.
Implement data quality, validation, lineage, and observability checks so pipeline failures and data drift are caught early.
Apply software engineering discipline to data workloads: version control, code review, automated testing, and CI/CD for pipelines and transformations.
Work with analytics, ML, and product teams to make data reliably available, secure, and well governed.

Must have skills:

8+ years of total professional experience in software, data, or infrastructure engineering.
Minimum 4 years in a dedicated DevOps / SRE / Platform Engineering role.
Substantial prior hands-on data engineering experience at a senior level (pipeline development, data warehousing, and orchestration).
Strong proficiency in Google Cloud Platform (GCP) and solid working experience with AWS.
Hands-on experience with Terraform and Infrastructure as Code (IaC).
Strong experience with Kubernetes, Docker, and Helm in production.
Expertise with CI/CD tools: Jenkins, GitLab CI, GitHub Actions, ArgoCD.
Strong production-grade Python – not scripting only, but maintainable pipeline and tooling code – plus solid Bash.
Advanced SQL and hands-on experience with a cloud data warehouse (BigQuery preferred; Snowflake or Redshift also considered).
Experience with workflow orchestration (Airflow / Cloud Composer) and a distributed processing framework (Dataflow/Apache Beam, Spark, or dbt).
Experience with streaming or event-driven data (Pub/Sub, Kafka, or Kinesis).
Experience with SonarQube and static code analysis integration.
Practical cloud security experience (IAM, VPC, firewalls/security groups).
Secrets management experience (Secret Manager / Secrets Manager / Vault).
Experience with image and dependency scanning.
Knowledge of secure software development practices.
Excellent written and verbal communication skills.

Good to Have:

Certifications: GCP Professional DevOps Engineer, GCP Professional Data Engineer, GCP Architect, AWS DevOps Engineer, etc.
Experience with dbt and modern analytics engineering practices.
Data modelling experience (dimensional modelling, lakehouse formats such as Iceberg or Delta Lake).
Data quality and testing frameworks (Great Expectations, Soda, dbt tests).
Exposure to ML platform support (Vertex AI, MLflow, feature stores, model deployment pipelines).
Knowledge of compliance frameworks (ISO 27001, CIS Benchmarks, NIST) and data governance / PII handling.
Experience with monitoring tools (Prometheus, Grafana).
Experience with logging stacks (ELK, Loki, etc.).
Exposure to policy-as-code and security tools (OPA, scanners).
Cloud cost optimisation / FinOps experience, particularly for data workloads.
Scripting or service development in Go.

Apply Now

Refine Your Search

aws cloud jobs in kurali punjab

DevOps Lead (GCP, AWS) – Data Engineering

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Sr. Data Engineer (Backend / Python / Cloud / DevOps)

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Lead Software Engineer – Node.js / MERN

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