7 Cloud Computing jobs in Indore

• Design, develop, test, deploy, maintain, and improve software for cloud-based services.
• Manage individual project priorities, deadlines, and deliverables.
• Write clean, efficient, and well-documented code in relevant programming languages (e.g., Python, Java, Go).
• Develop and maintain robust APIs for internal and external consumption.
• Collaborate with frontend developers, product managers, and other stakeholders to define and implement new features.
• Troubleshoot and resolve complex technical issues in production environments.
• Optimize application performance, scalability, and reliability.
• Participate in code reviews to ensure code quality and adherence to best practices.
• Contribute to architectural decisions and technology choices for backend systems.
• Develop and maintain automated testing frameworks.
• Stay current with emerging technologies and industry trends in cloud computing and backend development.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum of 5 years of professional experience in backend software development.
• Proven experience designing and building scalable cloud-native applications on platforms like AWS, Azure, or GCP.
• Strong proficiency in at least one modern programming language such as Python, Java, Go, or Node.js.
• Experience with database technologies (SQL and NoSQL), such as PostgreSQL, MySQL, MongoDB, or DynamoDB.
• Solid understanding of microservices architecture, RESTful APIs, and distributed systems.
• Experience with containerization technologies like Docker and Kubernetes.
• Familiarity with CI/CD pipelines and infrastructure as code tools.
• Excellent problem-solving and debugging skills.
• Strong communication and teamwork abilities.
• Experience working in an Agile development environment.

GCP/Bigdata

Provides technical leadership in Big Data space (Hadoop Stack like Spark, M/R, HDFS, Hive, HBase etc) and contributes to open source Big Data technologies.

Must have : Operating knowledge of cloud computing platforms (GCP, especially Big Query, Dataflow, Dataproc, Storage, VMs, Networking, Pub Sub, Cloud Functions, Composer servics)

Should be aware with columnar database e.g parquet, ORC etc

Visualize and evangelize next generation infrastructure in Cloud platform/Big Data space (Batch, Near Real-time, Real-time technologies).

Passionate for continuous learning, experimenting, applying and contributing towards cutting edge open source technologies and software paradigms

Developing and implementing an overall organizational data strategy that is in line with business processes. The strategy includes data model designs, database development standards, implementation and management of data warehouses and data analytics systems

Expert-level proficiency in at-least 4-5 GCP services

Experience with technical solutions based on industry standards using GCP - IaaS, PaaS and SaaS capabilities

Strong understanding and experience in distributed computing frameworks, particularly

Experience working within a Linux computing environment, and use of command line tools including knowledge of shell/Python scripting for automating common task

KV Tech Solutions Pvt Ltd embodies the spirit of innovation and adaptability in today's rapidly evolving digital landscape. Our mission is to transform businesses with Google Cloud excellence. We are a team of experts dedicated to providing cutting-edge solutions in areas like VM migrations, Generative AI, data transformation, and predictive analytics. To learn more about our work, visit our website at

The Role: Google Cloud Specialist

We are seeking a highly motivated and experienced Google Cloud Specialist to join our team in a full-time, remote capacity. This role is ideal for a candidate who is ready to leverage their hands-on experience and Google Professional Certification to design, implement, and deploy cutting-edge cloud and data solutions for our clients.

Salary Range: 3.5 LPA to 4 LPA

Your Responsibilities

As a Google Cloud Specialist, you will be a key contributor to our client projects, applying your expertise across the Google Cloud ecosystem.

You will:

• Design and deploy robust full-stack applications using serverless technologies like Google Cloud Run or App Engine.
• Develop and implement scalable data pipelines for batch and streaming data, including deploying jobs to Dataproc to process and load data into BigQuery.
• Deploy, manage, and monitor Machine Learning (ML) models for online and batch predictions using Vertex AI Endpoints and Model Registry.
• Work on projects involving advanced areas like VM migrations, Generative AI, data transformation, and predictive analytics.
• Contribute to meaningful solutions for clients in industries such as Healthcare, Government, Retail, and Telecom.
• Design and deploy secure, well-architected cloud environments and application development/secure landing zones.
• Stay current with new Google Cloud features and services to recommend and implement optimal client solutions.

Required Skills & Qualifications

Please note: Only candidates meeting the following mandatory requirements will be considered for this role.

• Experience: 1 to 3 years of hands-on, verifiable experience working with Google Cloud technologies.
• Certification: Must possess a current, valid Google Professional Certification (e.g., Professional Cloud Architect, Professional Data Engineer, Professional Cloud Developer, etc.).

Candidates must possess a strong subset of the following technical skills:

• Demonstrable experience in deploying applications to serverless platforms like Cloud Run or App Engine.
• Practical experience in building and executing data processing jobs/pipelines using technologies like Dataproc, and data warehousing on BigQuery.
• Proficiency in the Vertex AI platform for model deployment, including creating a Model Registry entry and deploying to a managed Endpoint for online serving.
• Deep understanding of IT concepts, cloud computing principles, and the Google Cloud Platform (GCP) service portfolio.
• Excellent problem-solving skills, a proactive attitude, and the ability to work independently in a remote setting.

Interview & Application Requirements

To ensure candidates have practical, up-to-date skills, the interview process will include a hands-on demonstration:

• Pre-Interview Task: Interested candidates must be able to utilize their free Google Cloud trial account.
• Interview Demonstration: Be prepared to demo foundational knowledge and practical application of the following concepts:
• Google Cloud Foundation Fabric (Demonstrate your ability to establish core GCP networking, security, and resource hierarchy principles).
• Google Agentspace (Showcase your understanding or a basic demo of using Google's generative AI tools or services for a practical business application).

Added Advantage

• Familiarity with Infrastructure as Code (e.g., Terraform).
• Experience with Python (especially the Vertex AI SDK), Go, or other relevant programming languages for application, data pipeline, and ML development.
• Exposure to containerization and orchestration (e.g., Docker, Kubernetes, Artifact Registry).

To Apply

Please submit your resume and a cover letter detailing your 1-3 years of Google Cloud experience, the Google Professional Certification you hold (including the date of achievement), and your readiness to complete the required interview demo.

Overview of 66degrees

66degrees is a leading consulting and professional services company specialising in developing Al-focused, data-led solutions leveraging the latest advancements in cloud technology. With our unmatched engineering capabilities and vast industry experience, we help the world's leading brands transform their business challenges into opportunities and shape the future of work. At 66degrees, we believe in embracing the challenge and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.

Role Overview

We are seeking a highly skilled and experienced Google Cloud and Workspace Engineer/Administrator to join our dynamic team. In this role, you will be responsible for the comprehensive management and administration of all Google products, projects, sandboxes, and related infrastructure within the Google Cloud Platform (GCP), alongside the administration of Google Workspace. You will play a crucial role in ensuring the stability, security, and optimal performance of our cloud and collaboration environments.

Key Responsibilities:

Google Cloud Platform Administration:

• Manage and administer Google Cloud projects, including creation, configuration, and resource allocation.
• Oversee the deployment, monitoring, and maintenance of various Google Cloud services (e.g., Compute Engine, Cloud Storage, Cloud SQL, BigQuery, Kubernetes Engine).
• Implement and enforce security best practices within GCP, including IAM, network security, and data encryption.
• Monitor cloud resource usage, identify cost optimization opportunities, and implement efficiency improvements.
• Troubleshoot and resolve cloud infrastructure issues in a timely manner.

Google Workspace Administration:

• Administer and support Google Workspace services, including Gmail, Drive, Calendar, Meet, and Chat.
• Manage user accounts, groups, organizational units, and access permissions within Google Workspace.
• Implement and enforce security and compliance policies for Google Workspace.
• Provide technical support and guidance to users on Google Workspace features and best practices.
• Monitor Google Workspace usage and identify opportunities for optimization.

Cloud adoption strategy:

• The ability to align the SLZ deployment with the larger Cloud Adoption Framework (CAF) and a clear business case for moving workloads to a sovereign cloud environment.
• Manage the overall setup and configuration of SLZ

Product and Sandbox Management:

• Administer and support various Google products and applications integrated with GCP and Google Workspace.
• Manage and maintain sandbox environments for development, testing, and experimentation.
• Ensure proper access control and resource allocation for sandbox users.

Automation and Scripting:

• Develop and implement automation scripts (e.g., Python, Bash, Terraform) for routine cloud and Workspace operations and infrastructure provisioning.
• Utilize Infrastructure as Code (IaC) principles to manage and deploy cloud resources.

Monitoring and Alerting:

• Set up and manage monitoring tools and dashboards for cloud infrastructure and applications, as well as Google Workspace.
• Configure alerts and notifications for critical events and performance thresholds.

Network Segmentation:

• Implement strong network segmentation using VPCs, subnets, and firewall rules to isolate different environments (e.g., production, development, staging) and workloads within the SLZ.

Identity and Access Management (IAM):

• Establish a robust IAM strategy with granular permissions, principle of least privilege, and multi-factor authentication (MFA) for all access to the SLZ, leveraging Google Cloud IAM roles and custom roles as needed.

Logging and Monitoring:

• Configure comprehensive logging and monitoring capabilities using Cloud Logging and Cloud Monitoring to capture all activities, security events, and resource utilization within the SLZ, enabling proactive threat detection and compliance auditing.

Security Services Integration:

• Integrate native Google Cloud security services such as Security Command Center, Cloud Armor, and Cloud IDS/IPS to enhance threat protection, vulnerability management, and real-time anomaly detection within the SLZ.

Documentation:

• Create and maintain comprehensive documentation for cloud and Workspace architecture, configurations, and operational procedures.

Collaboration:

• Collaborate with development, operations, and security teams to ensure seamless integration and support of cloud and collaboration solutions.
• Provide technical guidance and support to internal teams on GCP and Google Workspace best practices.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
• Proven experience as a Google Cloud Engineer/Administrator or similar role.
• Proven experience in administering Google Workspace.
• Proven experience in establishing, maintaining, and managing Google Cloud billing accounts, cloud spends and overall financials ensuring strict adherence to financial policies and regulatory requirements.
• In-depth knowledge of Google Cloud Platform services and architecture.
• Strong understanding of networking concepts (VPC, VPN, Load Balancing) in a cloud environment.
• Experience with identity and access management (IAM) in GCP and user management in Google Workspace.
• Proficiency in scripting languages (e.g., Python, Bash)
• Proficiency in executing the core Terraform workflow
• Expertise in managing Terraform state, including local and remote backends, state locking, and handling sensitive data.
• Experience with containerisation technologies (Docker, Kubernetes).
• Familiarity with CI/CD pipelines and DevOps principles.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and interpersonal skills.

Preferred Qualifications

• Google Cloud certification (e.g., Professional Cloud Architect, Professional Cloud Engineer).
• Google Workspace certification (e.g., Google Workspace Administrator).
• Experience with hybrid cloud environments.
• Knowledge of database administration on GCP (e.g., Cloud SQL, Cloud Spanner).
• Experience with big data technologies on GCP (e.g., BigQuery, Dataflow).

66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.

Job Title :
Cloud Cost Optimiser (Azure & GCP Specialist)

Job Location :
Indore / Remote

Experience :
5 years

Job Type :
Full-Time / Part-Time / Contract / Hybrid

We are seeking a highly skilled and motivated Cloud Cost Optimiser with hands-on expertise in Microsoft Azure and Google Cloud Platform (GCP) to join our growing team.

The ideal candidate will be responsible for assessing, designing, and implementing cloud cost optimization strategies to improve performance, reduce costs, and enhance security across multi-cloud environments.

Key Responsibilities

• Evaluate and optimise cloud infrastructure across Azure and GCP for performance, scalability, reliability, and Monitor cloud usage and identify underutilized or over-provisioned resources.
• Implement cost-saving strategies and drive cloud cost governance best practices.
• Develop and maintain automation scripts for optimization activities using tools like Terraform, Python, or Cloud-native automation tools.
• Collaborate with engineering, DevOps, and infrastructure teams to align cloud optimization goals with business objectives.
• Create dashboards and reports to communicate cloud performance metrics and cost trends.
• Participate in architectural reviews and provide cloud optimization guidance for new and existing workloads.
• Stay current with new services, features, and best practices for Azure and GCP.

Education & Experience

• 3+ years of experience in cloud infrastructure and cost optimization roles.
• Proven hands-on experience with both Microsoft Azure and Google Cloud Platform (GCP).
• Strong understanding of cloud-native services, billing models, and resource management.
• Proficiency with Azure Cost Management, GCP Cost Tools, and third-party platforms like Cloud Health, , or Apptio Cloud ability.
• Experience with Infrastructure as Code (IaC) tools such as Terraform or ARM templates.
• Ability to interpret and analyses cloud usage data to derive actionable insights.
• Excellent communication skills and the ability to work cross-functionally.

Skills & Competencies

• Certifications in Azure (e.g., AZ-305) and GCP (e.g., Professional Cloud Architect or Cloud Engineer).
• Experience with hybrid or multi-cloud architecture design.
• Familiarity with FinOps frameworks and practices.
• Background in DevOps, Systems Engineering, or Site Reliability Engineering (SRE) is a plus.

What We Offer ?
At Serosoft, we believe in fostering a culture of innovation, collaboration and excellence.

Discover what makes Serosoft the perfect place to thrive :

• Learning & Growth : We support your professional development at every step.
• Cutting-Edge Technologies : Engage in pioneering and innovative projects.
• Global Opportunities : Expand your horizons & work on international assignments.
• Exciting Events & Outings : Enjoy vibrant celebrations and team activities.
• Best of Breed Compensation : Competitive pay that rewards your skills & contributions.
• 5 Days a Week : Embrace a healthy work-life balance.
• Group Health Insurance : Your health and well-being are our priority.
• Open Door Policy : Your ideas and feedback are always welcomed.
• Beautiful Office in Indore : Work in Indias cleanest city, right in the heart of it

)

About us:

Intuitive is an innovation-led engineering company delivering business outcomes for 100’s of Enterprises globally. With the reputation of being a Tiger Team & a Trusted Partner of enterprise technology leaders, we help solve the most complex Digital Transformation challenges across following Intuitive Superpowers:

Modernization & Migration

• Application & Database Modernization
• Platform Engineering (IaC/EaC, DevSecOps & SRE)
• Cloud Native Engineering, Migration to Cloud, VMware Exit
• FinOps

Data & AI/ML

• Data (Cloud Native / DataBricks / Snowflake)
• Machine Learning, AI/GenAI

Cybersecurity

• Infrastructure Security
• Application Security
• Data Security
• AI/Model Security

SDx & Digital Workspace (M365, G-suite)

• SDDC, SD-WAN, SDN, NetSec, Wireless/Mobility
• Email, Collaboration, Directory Services, Shared Files Services

Intuitive Services:

• Professional and Advisory Services
• Elastic Engineering Services
• Managed Services
• Talent Acquisition & Platform Resell Services

About the Job

Title: Manager / Director, Inside Sales – Cloud & Digital Transformation Services

Start Date: Immediate

# of Positions: 1

Position Type: Full-time Employment

Location : India (Preferred: Bangalore, Hyderabad, Pune, or Remote)

Reports to: Chief Alliance & Marketing Officer

Collaborates with: Sales, Marketing, Pre-Sales, and Delivery teams in North America, India, and EMEA.

Working Hours: Flexible hours required to coordinate with North American team and customers (EST/PST overlap hours)

Role Overview

Intuitive.Cloud is a global cloud engineering and AI transformation partner. We empower enterprises, especially in regulated industries like Banking & Financial, Healthcare, and Life Sciences, to modernize IT, deploy AI-driven innovations, and achieve digital scale—all while staying compliant. We are seeking a high-energy, experienced Inside Sales Manager or Director, based in India, to lead a global team of Inside Sales Representatives (ISRs) supporting our cloud and digital transformation business. The ISR team is distributed across India and North America, and is responsible for outbound prospecting, inbound follow-up, and pipeline generation across AWS, Azure, Google Cloud services, cloud migration, data engineering, and AI/ML initiatives.

You will manage a team of 5–7 ISRs/ BDRs focused on executing outreach campaigns, engaging target accounts, qualifying leads, and setting meetings for Account Executives and Solution Consultants globally. This role requires strong leadership, cross-cultural management, and sales execution skills to drive predictable pipeline creation and team success across time zones.

Key Responsibilities

Team Leadership

• Recruit, onboard, train and mentor a global ISR/BDR team located in India and North America
• Set clear KPIs and goals (e.g. calls, emails, LinkedIn touches, meetings booked, SQLs)
• Lead daily standups, performance reviews, and 1:1s across multiple time zones
• Coach and mentor team members with region-specific strategies
• Ensure consistent messaging, outreach quality, and process adherence globally
• Conduct regular coaching, performance reviews, call/sequence audits, and “ride alongs”
• Hold the team accountable for activity, pipeline conversion, forecasting, and quotas
• Foster a positive, competitive, and collaborative team culture

Strategy & Planning

• Define and refine the ideal customer profile (ICP), buyer personas, and target segments
• Work with Marketing and Sales Enablement to build verticals-specific outbound sequences and cadences following ICP (Ideal Customer Profile) - multi-touch email, LinkedIn, phone, direct mail, events.
• Oversee tooling, automation, and processes (CRM, sales engagement tools, analytics, lead scoring).
• Continually optimize conversion rates, campaign performance, and messaging

Pipeline Generation & Handoff

• Own the end-to-end process from outreach → qualification → opportunity handoff
• Ensure high-quality, well-qualified SQLs (Sales Qualified Leads) are delivered to AEs or practice leads
• Collaborate with Pre Sales / Solutions team to support technical qualification, discovery calls, proof-of-concept handoffs
• Collaborate with the US-based sales team on opportunity follow-up, alignment, and transitions
• Monitor SDR/BDR performance KPIs

Reporting & Forecasting

• Maintain centralized dashboards to track outreach activity, meetings booked, SQLs by region via Salesloft.
• Share weekly and monthly reports with leadership EVP Sales and CxOs
• Adjust playbooks and goals based on vertical trends and performance data
• Produce weekly / monthly metrics dashboards (activity, conversion funnels, pipeline trends, forecast vs actual).
• Implement continuous improvement via data-driven experimentation (A/B testing, messaging variation, sequence optimization).

Cross Functional Collaboration

• Partner with Marketing to align messaging, content, campaigns, and lead attribution
• Work with Practice Directors, Delivery, and Strategy team to deepen services knowledge in cloud, AI, data, and migration offerings
• Provide feedback on messaging, market trends, competitive insights
• Scaling & Process Optimization
• Standardize processes, templates, playbooks, and training materials
• Implement automation and tooling (e.g. sales engagement platforms, sequence logic, lead scoring)
• Identify roles for specialization (e.g. inbound, outbound, vertical focus) as the team scales
• Maintain quality and guarding of data hygiene in CRM and systems

Required Skills & Experience

• 7+ years of B2B experience in inside sales, demand generation, or SDR/BDR management in global B2B environments, (preferably in technology services, or consulting versus purely product sales).
• 2+ years managing remote and distributed teams (preferably across India and North America).
• Proven track record in building pipeline for cloud, digital transformation, or enterprise tech services.
• Experience selling / selling around cloud, IT services, consulting, software (or strong technical appetite.
• Deep familiarity with sales engagement tools (e.g. Outreach, SalesLoft, LinkedIn Sales Navigator), CRM systems (e.g. Salesforce, HubSpot).
• Experience in building or scaling inside sales teams from ground up.
• Comfortable working across cultures, time zones, and virtual collaboration platforms.
• Excellent English communication skills (verbal and written).
• Ability to operate independently while collaborating with US-based Sales and Marketing teams.
• Bachelor’s degree required; MBA or international exposure is a plus.
• Domain knowledge in industries such as financial services, healthcare, retail, or manufacturing is preferable.
• Exposure to partner ecosystem sales (e.g. AWS, Azure, GCP) is preferable.

Success Metrics

• Number of qualified SQLs / meetings generated per rep / per quarter.
• Conversion rates from outreach → SQL → opportunity → close.
• Pipeline growth and funnel velocity.
• Team attainment of quota.
• Efficiency metrics (touches per meeting, cost-per-lead, output per rep).
• Quality of leads (win rates, average deal size).
• Improvement in process metrics over time (e.g. response time, lead response SLAs).
• Forecast accuracy, campaign ROI, and rep productivity.