QS & Planning Engineer

We are looking for an experienced GCP Cloud Engineer to design, implement, and manage cloud-based solutions on Google Cloud Platform (GCP). The ideal candidate should have expertise in GKE (Google Kubernetes Engine), Cloud Run, Cloud Loadbalancer, Cloud function, Azure DevOps, and Terraform, with a strong focus on automation, security, and scalability.

You will work closely with development, operations, and security teams to ensure robust cloud infrastructure and CI/CD pipelines while optimizing performance and cost.

Key Responsibilities:

1. Cloud Infrastructure Design & Management

· Architect, deploy, and maintain GCP cloud resources via terraform/other automation.

· Implement Google Cloud Storage, Cloud SQL, file store, for data storage and processing needs.

· Manage and configure Cloud Load Balancers (HTTP(S), TCP/UDP, and SSL Proxy) for high availability and scalability.

· Optimize resource allocation, monitoring, and cost efficiency across GCP environments.

2. Kubernetes & Container Orchestration

· Deploy, manage, and optimize workloads on Google Kubernetes Engine (GKE).

· Work with Helm charts, Istio, and service meshes for microservices deployments.

· Automate scaling, rolling updates, and zero-downtime deployments.

3. Serverless & Compute Services

· Deploy and manage applications on Cloud Run and Cloud Functions for scalable, serverless workloads.

· Optimize containerized applications running on Cloud Run for cost efficiency and performance.

4. CI/CD & DevOps Automation

· Design, implement, and manage CI/CD pipelines using Azure DevOps.

· Automate infrastructure deployment using Terraform, Bash and Power shell scripting

· Integrate security and compliance checks into the DevOps workflow (DevSecOps).

Required Skills & Qualifications:

✔ Experience: 8+ years in Cloud Engineering, with a focus on GCP.

✔ Cloud Expertise: Strong knowledge of GCP services (GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions).

✔ Kubernetes & Containers: Experience with GKE, Docker, GKE Networking, Helm.

✔ DevOps Tools: Hands-on experience with Azure DevOps for CI/CD pipeline automation.

✔ Infrastructure-as-Code (IaC): Expertise in Terraform for provisioning cloud resources.

✔ Scripting & Automation: Proficiency in Python, Bash, or PowerShell for automation.

✔ Security & Compliance: Knowledge of cloud security principles, IAM, and compliance standards.

  Occupational Health & Safety Management: Ø Handling government official's visits and its timely compliance, ensure renewal of fire NOC, Petroleum NOC, on site emergency plan approval etc.

>   Develop a safe, pollution free work environment and robust EHS Culture at site.

>   To enhance engagement of employees for building EHS culture.

Ø Improve the awareness and capabilities of people at site on EHS.

>   Implementation of EHS Global Standards, Like work permit system , LOTO Permit , contractor safety management , chemical safety management , Personnel protective equipment, Incident reporting and investigation , Risk Assessment and process hazard analysis, change control management, Employee Engagement , Machine Safety procedure etc.

'    Evaluation of training need assessment and ensure the compliance as per calender.

>   EHS round on monthly basis with engaging department SLT's, shift in charges and EHS profesionals.

>   Creating awareness among employees and workers by celebrating EHS Programs — National Safety Week, Road Safety Week, Fire Service week etc.

Ø Encourage near miss reporting, employee's reward and recognitions.

>   Development of departmental EHS coordinators, encourage them to report unsafe observations , near miss reporting , conducting department EHS meet , participation in EHS promotional activities.

Ø Ensure electrical safety with coordination engineering department.

>   Conducting job safety analysis, Risk Assessment & Process hazard analysis.

Ø Ensure standard PPE's requirement, use of need base PPE's and its safe disposal.

>   Encourage and ensure incident reporting & investigation, root cause analysis and compliance of corrective action and preventive action.

>   Ensure emergency preparedness and response compliance and ready to operate 24X7 fire Extinguishers, Fire Hydrant System, Fire alarm system, Public Announcement System, SCBA ,Safety shower, Spill control Kit, ambulance etc.

'    Ensure pressure vessel, Lifting tool tackles, hoist and lifts etc. testing and compliance, form-9, form-33 etc.

>   Workplace health & hygiene monitoring.

>   Ensure the compliance of EHS legal register and compliance register.

Ø Ensure the compliance of local EHS procedures, EHS Manual, EHS Policy, On site emergency plan.

Company: Augmentive Business 7 Solutions Pvt. Ltd.

Location: Remote (Work from Home)

Role Type: Full-Time

Salary: Starting from 65,000 per month

Key Responsibilities

As an Online Business Manager, you will:

●      Conduct online research and prepare reports/documentation to support clients in making informed business decisions.

●      Manage databases, including data collection, cleansing, validation, formatting, and representation.

●      Generate and manage leads through online platforms and web scraping, and maintain them on CRM systems.

●      Coordinate with executives, departments, and vendors to ensure smooth execution of projects and events, meeting all deadlines.

●      Provide administrative and operational support to key executives as required.

Qualifications & Prerequisites

●      Minimum 2 years of full-time professional work experience with a consistent and stable career track record.

●      Excellent communication skills – both written and spoken English.

●      Applicants must be willing to sign a 12-month bond.

●      Strong analytical, mathematical, and logical reasoning abilities.

●      Demonstrated experience in conflict resolution and professional communication.

●      Ability to work independently with a high degree of self-motivation, organization, and accountability.

Technical Requirements

●      High-speed internet connection: Minimum 100 Mbps Wi-Fi.

●      Laptop with at least 8 GB RAM and a Core i3/i5 (9th Gen or above) processor.

●      Good quality camera and headset for video calls.

●      Quiet and well-lit workspace suitable for professional remote work.

Job Details and Requirements

●      Remote position (EST/PST time zones); 5 days/week (Mon-Fri)

●      Training: 6:30 PM - 3:30 AM EST, 4-6 weeks + 2 months probation

●      Candidates need their own work-from-home setup (laptop, Wi-Fi, headset, webcam, power backup)

●      Holidays: Indian holidays observed; 15 paid leaves + 8-10 public holidays + 3 on-demand regional holidays

We’re seeking a highly skilled, execution-focused Senior Data Scientist with a minimum of 5 years of experience. This role demands hands-on expertise in building, deploying, and optimizing machine learning models at scale, while working with big data technologies and modern cloud platforms. You will be responsible for driving data-driven solutions from experimentation to production, leveraging advanced tools and frameworks across Python, SQL, Spark, and AWS. The role requires strong technical depth, problem-solving ability, and ownership in delivering business impact through data science.

Responsibilities

• Design, build, and deploy scalable machine learning models into production systems.
• Develop advanced analytics and predictive models using Python, SQL, and popular ML/DL frameworks (Pandas, Scikit-learn, TensorFlow, PyTorch).
• Leverage Databricks, Apache Spark, and Hadoop for large-scale data processing and model training.
• Implement workflows and pipelines using Airflow and AWS EMR for automation and orchestration.
• Collaborate with engineering teams to integrate models into cloud-based applications on AWS.
• Optimize query performance, storage usage, and data pipelines for efficiency.
• Conduct end-to-end experiments, including data preprocessing, feature engineering, model training, validation, and deployment.
• Drive initiatives independently with high ownership and accountability.
• Stay up to date with industry best practices in machine learning, big data, and cloud-native deployments.

Requirements:

• Minimum 5 years of experience in Data Science or Applied Machine Learning.
• Strong proficiency in Python, SQL, and ML libraries (Pandas, Scikit-learn, TensorFlow, PyTorch).
• Proven expertise in deploying ML models into production systems.
• Experience with big data platforms (Hadoop, Spark) and distributed data processing.
• Hands-on experience with Databricks, Airflow, and AWS EMR.
• Strong knowledge of AWS cloud services (S3, Lambda, SageMaker, EC2, etc.).
• Solid understanding of query optimization, storage systems, and data pipelines.
• Excellent problem-solving skills, with the ability to design scalable solutions.
• Strong communication and collaboration skills to work in cross-functional teams.

Benefits:

• Best in class salary: We hire only the best, and we pay accordingly.
• Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field.
• Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day.

About Us:

Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world! We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore. Since 2019, Proximity has created and grown high-impact, scalable products used by 370 million daily users, with a total net worth of $45.7 billion among our client companies.

Today, we are a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting-edge tech, at scale. Our team of Proxonauts is growing quickly, which means your impact on the company’s success will be huge. You’ll have the chance to work with experienced leaders who have built and led multiple tech, product, and design teams.

What you need to have: