40 Cloudops Jobs - Page 2

Associate Manager, D&AI BIOps ( Business Intelligence Operations) Agro & Sustainability Overview We are seeking a detail-oriented and proactive Associate Manager BIOps Program Management to support and optimize Business Intelligence Operations (BIOps) programs. This role requires a hands-on professional with a solid foundation in BI governance, data analytics, cloud-based BI platforms, automation, and operational processes. The ideal candidate will assist in implementing scalable BIOps strategies, improving BI platform performance, and ensuring the availability, reliability, and efficiency of enterprise analytics solutions. Assist in managing and maintaining BIOps programs to ensure alignment with business objectives, data governance standards, and enterprise data strategies. Contribute to the implementation of real-time monitoring, automated alerting, and self-healing capabilities to enhance BI platform uptime and performance. Support the development and enforcement of BI governance models, operational frameworks, and execution roadmaps for seamless BI delivery. Assist in standardizing and automating BI pipeline workflows, report generation, and dashboard refresh processes to improve operational efficiency. Work closely with cross-functional teams, including Data Engineering, Analytics, AI/ML, CloudOps, and DataOps, to execute Data & Analytics platform strategies and foster a data-first culture. Provide operational support for PepsiCos Data & Analytics program and platform management to ensure consistency with global data initiatives. Assist in enabling proactive issue identification, self-healing capabilities, and continuous platform sustainment across the PepsiCo Data Estate. Responsibilities Assist in ensuring high availability and optimal performance of BI tools such as Power BI, Tableau, SAP BO, and MicroStrategy. Contribute to real-time observability, monitoring, and incident management processes to maintain system efficiency and minimize downtime. Support efforts to optimize data models, enhance report performance, and reduce query execution times. Work closely with Data Engineering, Analytics, AI/ML, CloudOps, and DataOps teams to support data-driven decision-making. Assist in coordinating with IT, business leaders, and compliance teams to ensure BIOps processes align with regulatory and security requirements. Provide periodic updates on operational performance, risk assessments, and BIOps maturity progress to relevant stakeholders. Support end-to-end BI operations, including testing, monitoring, and sustainment of global products and projects in partnership with Data Engineering teams. Assist in maintaining service-level agreements (SLAs) and engaging with subject matter experts (SMEs) to meet business demands effectively. Partner in the work intake process and Agile management practices to ensure alignment with PepsiCos operational goals and objectives. Contribute to developing and maintaining operational policies, structured processes, and automation to enhance operational efficiency. Foster a customer-centric culture by advocating for customer needs and assisting in resolving challenging customer situations through active listening and problem-solving. Build and maintain strong relationships with stakeholders, ensuring transparency and managing expectations effectively. Assist in fostering a collaborative, high-performing team culture by supporting the teams operational growth and skill development. Help ensure agility within the team by enabling swift priority changes while maintaining productivity. Leverage basic knowledge of cloud infrastructure and BI platforms to support operational requirements and build trust within the organization. Qualifications 7+ years of technology work experience in a large-scale global organization CPG preferred. 7+ years of experience in the Data & Analytics field, with exposure to BI operations and tools. 7+ years of experience working within a cross-functional IT organization. 4+ years of experience in a leadership or team coordination role. Ability to empathize with customers, convey confidence, and explain technical issues to varied audiences effectively. Ability to prioritize customer needs and advocate for timely resolutions through appropriate channels. Demonstrated ability to take ownership, drive results, and ensure operational excellence. Passion for delivering excellent customer experiences and fostering a customer-first culture. Willingness to learn new skills and technologies in a dynamic environment. Hands-on experience in providing technical support for BI or data-related solutions, preferably in a Microsoft Azure environment. Familiarity with modern site reliability practices, including monitoring, incident management, and operational resilience. Experience contributing to operational excellence by supporting the management of BI solutions and improving system performance. Ability to analyze complex issues, identify root causes, and implement effective solutions. Ability to build and maintain strong cross-functional relationships based on trust and respect. Proven ability to drive alignment and consensus across virtual teams and multiple functions through clear communication and collaboration. Track record of achieving results in fast-paced and evolving environments. Experience working in global or multi-country environments, preferably with data and BI implementations. Understanding of key concepts related to master data management, data standards, analytics, and digital transformation. Basic knowledge of data acquisition, data catalogs, and data management tools. Strong interpersonal skills with the ability to influence and persuade stakeholders while fostering lasting partnerships

Senior CloudOps Engineer: Congratulations, you have taken the first step towards bagging a career-defining role. Join the team of superheroes that safeguard data wherever it goes. What should you know about us? Seclore protects and controls digital assets to help enterprises prevent data theft and achieve compliance. Permissions and access to digital assets can be granularly assigned and revoked, or dynamically set at the enterprise-level, including when shared with external parties. Asset discovery and automated policy enforcement allow enterprises to adapt to changing security threats and regulatory requirements in real-time and at scale. Know more about us at www.seclore.com You would love our tribe: If you are a risk-taker, innovator, and fearless problem solver who loves solving challenges of data security, then this is the place for you! Role: Senior CloudOps Engineer Experience: 4-7 Years Location: Mumbai A sneak peek into the role: This position is for self-motivated and highly energetic individuals who can think of multiple solutions for a given problem and help in decision-making while working in a super-agile environment. Here's what you will get to explore: Design and Build Scalable Systems: Design, build, and maintain scalable and fault-tolerant software systems that can handle increasing load and recover from failures quickly. Combine technology, tools, and global best practices of cloud operations for innovation, efficiency, and compliance. Understand and manage the existing setup of Seclore Cloud offering as per internal and external SLAs. Update/write automation tools to commission and configure additional infrastructure elements on AWS cloud when needed. Deploy and upgrade Seclore application suite on Cloud and work on customer requests for specific changes or issues, using existing automation scripts, monitoring tools, and manual steps. Continuously improve automation and monitoring tools for better effectiveness and efficiency. Understand Seclore product features, technology platform, deployment, and configuration options. Work closely with other teams to understand requirements, upcoming features, and impact on the cloud infrastructure to ensure DevOps requirements are communicated and understood. Learn and build expertise on the latest technologies and best practices. We can see the next Entrepreneur At Seclore if you have: A technical degree (Engineering, MCA) from a reputed institute with a minimum of 4 years of experience in automation. At least 2 years of experience working with AWS or Azure Cloud. Experience of writing applications or automation tools using one or more of Batch script, PowerShell. Experience of working in a SaaS/managed services or Production environment. Experience with Linux OS.Hands-on experience of application configuration and deployment on cloud-based servers. Experience with tools and processes for application monitoring, incident, and log management. Good knowledge of troubleshooting web-based application deployments and configurations. Adequate knowledge of RDBMS like SQL Server and/or Oracle. Good verbal and written communication skills to interact with technical and non-technical staff. An analytical frame of mind to identify and evaluate multiple solutions to the same problem and come up with a solution roadmap. Why do we call Seclorites Entrepreneurs not Employees? We value and support those who take the initiative and calculate risks. We have an attitude of a problem solver and an aptitude that is tech agnostic. You get to work with the smartest minds in the business. We are thriving not living. At Seclore, it is not just about work but about creating outstanding employee experiences. Our supportive and open culture enables our team to thrive. Excited to be the next Entrepreneur, apply today! Dont have some of the above points in your resume at the moment? Dont worry. We will help you build it. Lets build the future of data security at Seclore together.

*Design, deploy, and manage cloud infrastructure solutions. *Monitor cloud-based systems to ensure performance, reliability, and security. *Automate processes to streamline operations and reduce manual tasks. Required Candidate profile Experience in Linux System Administration Exposure to AWS /Azure cloud platforms Knowledge of scripting languages like Python, Bash, or similar Understanding of CI/CD pipelines and DevOps practices

*Design, deploy, and manage cloud infrastructure solutions. *Monitor cloud-based systems to ensure performance, reliability, and security. *Automate processes to streamline operations and reduce manual tasks. Required Candidate profile Experience in Linux System Administration Exposure to AWS /Azure cloud platforms Knowledge of scripting languages like Python, Bash, or similar Understanding of CI/CD pipelines and DevOps practices

Senior CloudOps Engineer: Congratulations, you have taken the first step towards bagging a career-defining role. Join the team of superheroes that safeguard data wherever it goes. What should you know about us? Seclore protects and controls digital assets to help enterprises prevent data theft and achieve compliance. Permissions and access to digital assets can be granularly assigned and revoked, or dynamically set at the enterprise-level, including when shared with external parties. Asset discovery and automated policy enforcement allow enterprises to adapt to changing security threats and regulatory requirements in real-time and at scale. Know more about us at www.seclore.com You would love our tribe: If you are a risk-taker, innovator, and fearless problem solver who loves solving challenges of data security, then this is the place for you! Role: Senior CloudOps Engineer Experience: 4-7 Years Location: Mumbai A sneak peek into the role: This position is for self-motivated and highly energetic individuals who can think of multiple solutions for a given problem and help in decision-making while working in a super-agile environment. Here's what you will get to explore: Serve as coach and mentor to junior engineers. Define, implement, manage, and improve operational support processes. Responsible for ensuring the Seclore Cloud operations. Manage and develop automation to support zero-downtime infrastructure changes across multiple globally distributed systems. Define and implement ops reporting and support dashboards & manage platform operations support. Automating cloud solutions using tools standard in the Cloud / DevOps industry. Working in a scientific way by forming hypotheses, experimentation, and delivering incremental improvements. Follow automation best practices. Oversee the work of your team and ensure quality outcomes related to defined KPIs. Actively support operational teams and other stakeholder teams to maintain business continuation and maintain customer satisfaction. Automate monitoring tools to monitor system health and reliability to support high uptime requirements. Ensure adherence to standards, policies, and procedures. Work with many services on AWS and learn/work all aspects of SaaS offering. Work with new tools and technologies and implement them. Solve all business and operational problems with Automation. Gain exposure to SRE, Automation, and Cloud Operations job functions. We can see the next Entrepreneur At Seclore if you have: A technical degree (Engineering, MCA) from a reputed institute. 4+ years experience working with AWS. 3+ years experience working with Jenkins, Docker, Git, Ansible, Linux. 5-6 years of total relevant experience. An automation-first approach/mindset. Effective verbal and written communication skills and management of priorities and deliverables. Experience with managing multiple production workloads on AWS. Understanding of the software lifecycle and appreciation of DevOps/Automation principles. Experience covering a range of the following or similar technologies and tools: Scripting - Python and Bash. Ansible / Puppet. Hands-on experience with Docker (Preferably ECS, EKS). Databases - Oracle RDS - Understanding performance bottlenecks and maintaining RDS. Appreciation of building secure, scalable infrastructure. Terraform / CloudFormation working experience. AWS certifications will be a plus. Knowledge about Cloud security best practices/SOC will be a plus. Why do we call Seclorites Entrepreneurs not Employees? We value and support those who take the initiative and calculate risks. We have an attitude of a problem solver and an aptitude that is tech agnostic. You get to work with the smartest minds in the business. We are thriving, not just living. At Seclore, it is not just about work but about creating outstanding employee experiences. Our supportive and open culture enables our team to thrive. Excited to be the next Entrepreneur, apply today! Dont have some of the above points in your resume at the moment? Dont worry. We will help you build it. Lets build the future of data security at Seclore together.

Roles & Responsibility: Lead monitoring and management of the multi-cloud environment, ensuring seamless daily operations and addressing patterns and trends proactively. Embed DevOps, security, and agile methodologies throughout the ecosystem for continuous improvement. Collaborate across IT, business units, and external partners to deliver measurable, business-focused outcomes. Collaborate with cybersecurity and engineering teams for secure and reliable operations. Lead Zero Trust and other strategic initiatives. Present metrics-driven insights and trends to senior leadership, driving actionable strategies. Must have exposure in cloud platforms like Azure, GCP, Oracle. Qualifications: Looking for BE/B.Tech in IT, Computers, Software Engineering or relevant fields Minimum 10 years of experience in cloud operations, networking, and security. Preferable from Product based Industry. For Contact, Vasanth Kumar M 90477 44528 vasanthkumar.m@haarvard.com

Overview Seeking an Associate Manager, Data Operations, to support our growing data organization. In this role, you will assist in maintaining data pipelines and corresponding platforms (on-prem and cloud) while working closely with global teams on DataOps initiatives. Support the day-to-day operations of data pipelines, ensuring data governance, reliability, and performance optimization on Microsoft Azure. Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and real-time streaming architectures is preferred. Assist in ensuring the availability, scalability, automation, and governance of enterprise data pipelines supporting analytics, AI/ML, and business intelligence. Contribute to DataOps programs, aligning with business objectives, data governance standards, and enterprise data strategy. Help implement real-time data observability, monitoring, and automation frameworks to improve data reliability, quality, and operational efficiency. Support the development of governance models and execution roadmaps to enhance efficiency across Azure, AWS, GCP, and on-prem environments. Work on CI/CD integration, data pipeline automation, and self-healing capabilities to improve enterprise-wide DataOps processes. Collaborate with cross-functional teams to support and maintain next-generation Data & Analytics platforms while promoting an agile and high-performing DataOps culture. Assist in the adoption of Data & Analytics technology transformations, ensuring automation for proactive issue identification and resolution. Partner with cross-functional teams to support process improvements, best practices, and operational efficiencies within DataOps. Responsibilities Assist in the implementation and optimization of enterprise-scale data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics. Support data ingestion, transformation, orchestration, and storage workflows, ensuring data reliability, integrity, and availability. Help ensure seamless batch, real-time, and streaming data processing, focusing on high availability and fault tolerance. Contribute to DataOps automation efforts, including CI/CD for data pipelines, automated testing, and version control using Azure DevOps and Terraform. Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and Business Intelligence teams to support data-driven decision-making. Assist in aligning DataOps practices with regulatory and security requirements by working with IT, data stewards, and compliance teams. Support data operations and sustainment activities, including testing and monitoring processes for global products and projects. Participate in data capture, storage, integration, governance, and analytics efforts, working alongside cross-functional teams. Assist in managing day-to-day DataOps activities, ensuring adherence to service-level agreements (SLAs) and business requirements. Engage with SMEs and business stakeholders to ensure data platform capabilities align with business needs. Contribute to Agile work intake and execution processes, helping to maintain efficiency in data platform teams. Help troubleshoot and resolve issues related to cloud infrastructure and data services in collaboration with technical teams. Support the development and automation of operational policies and procedures, improving efficiency and resilience. Assist in incident response and root cause analysis, contributing to self-healing mechanisms and mitigation strategies. Foster a customer-centric approach, advocating for operational excellence and continuous improvement in service delivery. Help build a collaborative, high-performing team culture, promoting automation and efficiency within DataOps. Adapt to shifting priorities and support cross-functional teams in maintaining productivity and achieving business goals. Utilize technical expertise in cloud and data operations to support service reliability and scalability. Qualifications 5+ years of technology work experience in a large-scale global organization, with CPG industry experience preferred. 5+ years of experience in Data & Analytics roles, with hands-on expertise in data operations and governance. 2+ years of experience working within a cross-functional IT organization, collaborating with multiple teams. Experience in a lead or senior support role, with a focus on DataOps execution and delivery. Strong communication skills, with the ability to collaborate with stakeholders and articulate technical concepts to non-technical audiences. Analytical and problem-solving abilities, with a focus on prioritizing customer needs and operational improvements. Customer-focused mindset, ensuring high-quality service delivery and operational efficiency. Growth mindset, with a willingness to learn and adapt to new technologies and methodologies in a fast-paced environment. Experience supporting data operations in a Microsoft Azure environment, including data pipeline automation. Familiarity with Site Reliability Engineering (SRE) principles, such as monitoring, automated issue remediation, and scalability improvements. Understanding of operational excellence in complex, high-availability data environments. Ability to collaborate across teams, building strong relationships with business and IT stakeholders. Basic understanding of data management concepts, including master data management, data governance, and analytics. Knowledge of data acquisition, data catalogs, data standards, and data management tools. Strong execution and organizational skills, with the ability to follow through on operational plans and drive measurable results. Adaptability in a dynamic, fast-paced environment, with the ability to shift priorities while maintaining productivity.

Role & responsibilities Design, build, and maintain our infrastructure and deployment pipelines Collaborate with development and operations teams to improve software delivery processes Monitor and troubleshoot production systems to ensure optimal performance Implement automation to improve efficiency and reliability of our systems Continuously improve our infrastructure and deployment processes, identifying areas for optimization Provide technical support to development and IT teams as needed Mentor Junior team members ensuring a strong team and adoption of tooling and skill sets What you need to be successful Bachelor's Degree: in Computer Science/Software Engineering or equivalent field, or equivalent work experience 5+ years Experience with Automation, IaC, SaaS, PaaS and IaaS Proficient in implementation of workloads in cloud and hybrid cloud environments (resilience, compliance, security) Demonstrated experience managing complex infrastructure solutions (Networking, DNS, Container Orchestration, Security, Monitoring) Design and manage public and private cloud infrastructure using OCI, which includes VNC, Compute, Buckets, LBaaS, etc Implement migration path to Microservices implementation, API Management, Container technologies, Serverless Ability to provide technical system solutions, determine overall design direction and provide solutions recommendations for complex technical issues Hands on experience with OCI services like compute, VNC, Buckets, DNS, LBaaS In-depth hands-on experience with at least one modern programming/scripting language (Python, Ansible, Go) Proven experience deploying, and maintaining services in a mixed OS, containerized/virtual environment, from the ground up (Docker, Kubernetes, VMWare, Windows Server, Linux) Deployment and support experience with applications in a cloud environment, such as Oracle Cloud Infrastructure or Azure An expert in automation systems (Ansible, Rundeck, Terraform, Packer, Cloud formation, Puppet, Chef) An expert in using Source Control Management systems (Git) Expertise in creating CI/CD pipelines (Jenkins, ADO, GitHub Actions, Atlassian Bamboo, Gitlab CI/CD) Demonstrated expertise with creating and troubleshooting containerized workloads (Kubernetes, EKS, Rancher) Outstanding customer service and interaction skills, both verbal and written, and a strong history of “whatever it takes” support Work well as part of a team in a fun, fast-paced environment Preferred candidate profile Perks and benefits

Overview Seeking an Associate Manager, Data Operations, to support our growing data organization. In this role, you will assist in maintaining data pipelines and corresponding platforms (on-prem and cloud) while working closely with global teams on DataOps initiatives. Support the day-to-day operations of data pipelines, ensuring data governance, reliability, and performance optimization on Microsoft Azure. Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and real-time streaming architectures is preferred. Assist in ensuring the availability, scalability, automation, and governance of enterprise data pipelines supporting analytics, AI/ML, and business intelligence. Contribute to DataOps programs, aligning with business objectives, data governance standards, and enterprise data strategy. Help implement real-time data observability, monitoring, and automation frameworks to improve data reliability, quality, and operational efficiency. Support the development of governance models and execution roadmaps to enhance efficiency across Azure, AWS, GCP, and on-prem environments. Work on CI/CD integration, data pipeline automation, and self-healing capabilities to improve enterprise-wide DataOps processes. Collaborate with cross-functional teams to support and maintain next-generation Data & Analytics platforms while promoting an agile and high-performing DataOps culture. Assist in the adoption of Data & Analytics technology transformations, ensuring automation for proactive issue identification and resolution. Partner with cross-functional teams to support process improvements, best practices, and operational efficiencies within DataOps. Responsibilities Assist in the implementation and optimization of enterprise-scale data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics. Support data ingestion, transformation, orchestration, and storage workflows, ensuring data reliability, integrity, and availability. Help ensure seamless batch, real-time, and streaming data processing, focusing on high availability and fault tolerance. Contribute to DataOps automation efforts, including CI/CD for data pipelines, automated testing, and version control using Azure DevOps and Terraform. Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and Business Intelligence teams to support data-driven decision-making. Assist in aligning DataOps practices with regulatory and security requirements by working with IT, data stewards, and compliance teams. Support data operations and sustainment activities, including testing and monitoring processes for global products and projects. Participate in data capture, storage, integration, governance, and analytics efforts, working alongside cross-functional teams. Assist in managing day-to-day DataOps activities, ensuring adherence to service-level agreements (SLAs) and business requirements. Engage with SMEs and business stakeholders to ensure data platform capabilities align with business needs. Contribute to Agile work intake and execution processes, helping to maintain efficiency in data platform teams. Help troubleshoot and resolve issues related to cloud infrastructure and data services in collaboration with technical teams. Support the development and automation of operational policies and procedures, improving efficiency and resilience. Assist in incident response and root cause analysis, contributing to self-healing mechanisms and mitigation strategies. Foster a customer-centric approach, advocating for operational excellence and continuous improvement in service delivery. Help build a collaborative, high-performing team culture, promoting automation and efficiency within DataOps. Adapt to shifting priorities and support cross-functional teams in maintaining productivity and achieving business goals. Utilize technical expertise in cloud and data operations to support service reliability and scalability. Qualifications 5+ years of technology work experience in a large-scale global organization, with CPG industry experience preferred. 5+ years of experience in Data & Analytics roles, with hands-on expertise in data operations and governance. 2+ years of experience working within a cross-functional IT organization, collaborating with multiple teams. Experience in a lead or senior support role, with a focus on DataOps execution and delivery. Strong communication skills, with the ability to collaborate with stakeholders and articulate technical concepts to non-technical audiences. Analytical and problem-solving abilities, with a focus on prioritizing customer needs and operational improvements. Customer-focused mindset, ensuring high-quality service delivery and operational efficiency. Growth mindset, with a willingness to learn and adapt to new technologies and methodologies in a fast-paced environment. Experience supporting data operations in a Microsoft Azure environment, including data pipeline automation. Familiarity with Site Reliability Engineering (SRE) principles, such as monitoring, automated issue remediation, and scalability improvements. Understanding of operational excellence in complex, high-availability data environments. Ability to collaborate across teams, building strong relationships with business and IT stakeholders. Basic understanding of data management concepts, including master data management, data governance, and analytics. Knowledge of data acquisition, data catalogs, data standards, and data management tools. Strong execution and organizational skills, with the ability to follow through on operational plans and drive measurable results. Adaptability in a dynamic, fast-paced environment, with the ability to shift priorities while maintaining productivity.

AWS Glue Developer Location :Hyd/Pune/Kolkatta Experience6+ years Budget:17-26 LPA Mandatory skill : AWS Glue, AWS Step Function, Pyspark,Python NP- Immediate Grade:C1/C2 Pyspark SparkSQL SQL and Glue. ii. AWS cloud experience iii. Good understanding of dimensional modelling iv. Good understanding DevOps CloudOps DataOps CI/CD & with a SRE mindset v. Understanding of Lakehouse and DW architecture vi. strong analysis and analytical skills vii. understanding of version control systems specifically Git viii. strong in software engineering APIs Microservices etc. Soft skills i. written and oral communication skills ii. ability to translate business needs to system and s

Overview Seeking an Associate Manager, Data Operations, to support our growing data organization. In this role, you will assist in maintaining data pipelines and corresponding platforms (on-prem and cloud) while working closely with global teams on DataOps initiatives. Support the day-to-day operations of data pipelines, ensuring data governance, reliability, and performance optimization on Microsoft Azure. Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and real-time streaming architectures is preferred. Assist in ensuring the availability, scalability, automation, and governance of enterprise data pipelines supporting analytics, AI/ML, and business intelligence. Contribute to DataOps programs, aligning with business objectives, data governance standards, and enterprise data strategy. Help implement real-time data observability, monitoring, and automation frameworks to improve data reliability, quality, and operational efficiency. Support the development of governance models and execution roadmaps to enhance efficiency across Azure, AWS, GCP, and on-prem environments. Work on CI/CD integration, data pipeline automation, and self-healing capabilities to improve enterprise-wide DataOps processes. Collaborate with cross-functional teams to support and maintain next-generation Data & Analytics platforms while promoting an agile and high-performing DataOps culture. Assist in the adoption of Data & Analytics technology transformations, ensuring automation for proactive issue identification and resolution. Partner with cross-functional teams to support process improvements, best practices, and operational efficiencies within DataOps. Responsibilities Assist in the implementation and optimization of enterprise-scale data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics. Support data ingestion, transformation, orchestration, and storage workflows, ensuring data reliability, integrity, and availability. Help ensure seamless batch, real-time, and streaming data processing, focusing on high availability and fault tolerance. Contribute to DataOps automation efforts, including CI/CD for data pipelines, automated testing, and version control using Azure DevOps and Terraform. Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and Business Intelligence teams to support data-driven decision-making. Assist in aligning DataOps practices with regulatory and security requirements by working with IT, data stewards, and compliance teams. Support data operations and sustainment activities, including testing and monitoring processes for global products and projects. Participate in data capture, storage, integration, governance, and analytics efforts, working alongside cross-functional teams. Assist in managing day-to-day DataOps activities, ensuring adherence to service-level agreements (SLAs) and business requirements. Engage with SMEs and business stakeholders to ensure data platform capabilities align with business needs. Contribute to Agile work intake and execution processes, helping to maintain efficiency in data platform teams. Help troubleshoot and resolve issues related to cloud infrastructure and data services in collaboration with technical teams. Support the development and automation of operational policies and procedures, improving efficiency and resilience. Assist in incident response and root cause analysis, contributing to self-healing mechanisms and mitigation strategies. Foster a customer-centric approach, advocating for operational excellence and continuous improvement in service delivery. Help build a collaborative, high-performing team culture, promoting automation and efficiency within DataOps. Adapt to shifting priorities and support cross-functional teams in maintaining productivity and achieving business goals. Utilize technical expertise in cloud and data operations to support service reliability and scalability. Qualifications 5+ years of technology work experience in a large-scale global organization, with CPG industry experience preferred. 5+ years of experience in Data & Analytics roles, with hands-on expertise in data operations and governance. 2+ years of experience working within a cross-functional IT organization, collaborating with multiple teams. Experience in a lead or senior support role, with a focus on DataOps execution and delivery. Strong communication skills, with the ability to collaborate with stakeholders and articulate technical concepts to non-technical audiences. Analytical and problem-solving abilities, with a focus on prioritizing customer needs and operational improvements. Customer-focused mindset, ensuring high-quality service delivery and operational efficiency. Growth mindset, with a willingness to learn and adapt to new technologies and methodologies in a fast-paced environment. Experience supporting data operations in a Microsoft Azure environment, including data pipeline automation. Familiarity with Site Reliability Engineering (SRE) principles, such as monitoring, automated issue remediation, and scalability improvements. Understanding of operational excellence in complex, high-availability data environments. Ability to collaborate across teams, building strong relationships with business and IT stakeholders. Basic understanding of data management concepts, including master data management, data governance, and analytics. Knowledge of data acquisition, data catalogs, data standards, and data management tools. Strong execution and organizational skills, with the ability to follow through on operational plans and drive measurable results. Adaptability in a dynamic, fast-paced environment, with the ability to shift priorities while maintaining productivity.

AWS Glue Developer Location :Hyd/Pune/Kolkatta Experience6+ years Budget:17-26 LPA Mandatory skill : AWS Glue, AWS Step Function, Pyspark,Python NP- Immediate Grade:C1/C2 Pyspark SparkSQL SQL and Glue. ii. AWS cloud experience iii. Good understanding of dimensional modelling iv. Good understanding DevOps CloudOps DataOps CI/CD & with a SRE mindset v. Understanding of Lakehouse and DW architecture vi. strong analysis and analytical skills vii. understanding of version control systems specifically Git viii. strong in software engineering APIs Microservices etc. Soft skills i. written and oral communication skills ii. ability to translate business needs to system and s

Accountabilities Leadership & Strategy - Guide the development, execution, and implementation of roadmaps for data foundation platforms. - Assess current state of platforms, define future state needs, identify gaps, recommend new technology solutions, and support product roadmap development. - Lead the design, implementation, and optimization of robust data catalogue, data quality, and MDM platforms. - Manage and optimize the technology stack ensuring alignment with security, architecture, compliance, and performance standards. - Provide technical knowledge of engineering principles to develop reliable and high-quality Data & Analytics platforms. - Ensure comprehensive documentation including standard operating procedures, user guides, and best practices. - Ensure automation is central to our processes and technologies for effective delivery timeframes. - Work on funding proposals describing value and ROI for internal investment. - Provide technical support throughout the project lifecycle. Innovation - Drive innovation by staying informed about technology trends and thought leadership. - Collaborate with business stakeholders on proof of concepts and pilots. - Identify opportunities for innovation to enhance the data foundation platform's capabilities and efficiency. Stakeholder Collaboration - Act as a liaison between IT and Business Units fostering strong communication and understanding. - Oversee partnerships with third parties, academic or outsourced partners to shape project outcomes. - Partner with enterprise platform teams and architecture to ensure alignment and influence stakeholders. Quality Assurance - Implement robust quality assurance processes to ensure data accuracy, reliability, and security. - Establish and monitor key performance indicators to measure platform effectiveness. Project Technical Management - Collaborate with technical and business resources from internal and external sources to specify and deliver appropriate technical solutions. - Evaluate the technical competence of external design and engineering staff to meet project needs. - Design and implement cloud solutions following best practices in security and code patterns. Essential Skills/Experience - Extensive experience in implementation & management of data, analytics & AI platforms. - Extensive experience in CloudOps, DevOps, DataOps, and infrastructure setup and maintenance. - Strong knowledge of BI landscape, data warehouse solutions including cloud data warehouses like Snowflake. - Strong experience with cloud platforms and services such as AWS, Azure, or Google Cloud. - Strong communication and interpersonal skills with experience in Agile development methodologies. - Influencer and negotiator who can align executives and senior stakeholders to a shared vision. - Relevant technical degree or equivalent. - AWS experience with EC2, S3, IAM, r53, DynamoDB, Lambda, RDS, ECR, Networking. - GitHub Actions Development Create and maintain GitHub Actions developed in-house. - Python. - IaC with Terraform. - GitHub reusable workflows. - Linux. - Proven track record in engineering technologies connecting technology with business value. Pharma sector experience is a plus. - Strong communication skills with teams, peers, and third-party suppliers. - Ability to develop innovation opportunities and lead changes. - Experience managing/delivering engineering technology aspects of projects/technology developments. - Ability to work in diverse multinational teams influencing positive outcomes. - Experience in Docker, Jira, NodeJS, EKS, AWS Amplify, Artifactory, SonarQube. - Knowledge of Lean design processes. - Experience in Data Foundation technologies like Snowflake, dbt, Data Catalogue (e.g., Collibra), Data Quality (e.g., Monte Carlo), integration tools like Fivetran, Snaplogic, Qlikreplicate.

Role & responsibilities Job Summary: We are looking for a dynamic PMO professional with strong expertise in Cloud Operations, BizOps, and Agile methodologies . The ideal candidate will drive cloud governance, business operations, and project execution while ensuring alignment with business objectives. Key Responsibilities: Project & Program Management Drive Cloud Operations (CloudOps) and BizOps initiatives with a focus on efficiency and cost optimization. Implement and manage Agile-based project governance frameworks. Define KPIs & OKRs to measure the success of cloud and business operations. Collaborate with cloud engineering, DevOps, and business teams to ensure seamless execution of projects. Cloud Operations & Governance Oversee cloud service management and operational efficiency across AWS, Azure, or GCP . Ensure adherence to FinOps best practices for cloud cost optimization. Drive automation and standardization of cloud operations using Terraform, Ansible, and Kubernetes . Implement security and compliance frameworks for cloud environments. BizOps & Process Optimization Align cloud investments with business goals and financial outcomes. Develop and track operational insights for better decision-making. Automate business operations using AI-driven analytics. Work closely with finance, procurement, and IT teams for cost-effective cloud operations. Agile & Stakeholder Management Facilitate Agile adoption across teams, ensuring best practices in Scrum, SAFe, or Kanban . Conduct sprint planning, retrospectives, and Agile ceremonies. Drive change management and process improvements. Work with senior leadership to provide data-driven insights and reports. Required Skills & Experience: Cloud Operations: Strong understanding of CloudOps, FinOps, and security frameworks . BizOps & Financial Management: Experience in aligning cloud costs with business goals. Project & Agile Management: Expertise in JIRA, ServiceNow, Confluence, and Agile frameworks . Automation & Tooling: Familiarity with Terraform, Ansible, Kubernetes, and cloud monitoring tools . Stakeholder Management: Experience working with leadership, vendors, and cross-functional teams. Preferred Certifications: AWS/Azure/GCP Certified Cloud Practitioner or Architect SAFe Agile, PMP, or PRINCE2 Certification FinOps Certified Practitioner Preferred candidate profile Perks and benefits

Kindly share the resume to suhasini.swamy@quest-global.com Responsibilities: Team/Technical Leadership Provide technical leadership and expertise to architect, design and implement solutions for Day 1 and Day 2 cloud operations. Mentor and guide the team in all infrastructure related issues and provide technical training and act as advisory consultant. Responsible for adopting new cloud services and features for cloud operations. Deployment Management Lead design and implementation of resource provisioning for development and production Lead automated provisioning (Infrastructure as Code) of various deployment environments (development, staging & production) Establish DevSecOps pipeline to meet the compliance and security requirements for the cloud solutions Operations Management Lead operations of solutions deployed in customer cloud environment. Design optimal solutions for high availability and disaster discovery and Backup Ensure service reliability and meet customer SLAs. Lead the periodic assessment of the infra-architecture and adapt/propose latest solutions operations. Design and lead site reliability engineering activities for cloud infrastructures. Contribute to DevSecOps process development and automation tasks. Monitoring & Observability Design effective monitoring and observability constructs for cloud infrastructures. Design and implement Application Performance monitoring Establish resource monitoring, notification and alerting capabilities Enable AIOps for cloud solutions. Compliance & Auditing Recommend and design, operations, security and compliance practices. Enable Data Security and Data Privacy for cloud solutions Desing Network Security for the infrastructure. Enable Cloud Security Posture Management Establish Security Information and Event Management (SIEM) for cloud solutions Cloud Operations Governance Design policies and rules for cloud governance Lead and automate quarterly auditing and resource usage Cloud Financial Management Guide and lead cloud infrastructure cost optimization activities. Skills 15+Years of experience in cloud infrastructure administration and operations. 5+Years proven experience in leading teams in cloud operations. Strong understanding about Cloud security and Compliance Must have an in-depth knowledge in AWS or in any other leading cloud platform services and architecture. Strong understanding about the native services of the cloud platform that can be leveraged for CloudOps. Must have a good understanding about micro services and infrastructure correlations, also the operational challenges. Strong knowledge of Infrastructure Automation and relevant tools for Infrastructure as Code (IAC) and configuration management (Ansible, Terraform, CFN etc.). Strong understanding about the networking constructs in cloud platforms. Strong knowledge in cloud operational tools like Datadog, Dynatrace etc. to enable monitoring and observability. Strong knowledge in CSPM and SEIM. Should have good understanding about various controls in DevSecOps practices. Strong Linux systems administration skills in cloud or on-premises environment. Strong troubleshooting skills. Strong knowledge in implementing backup and disaster recovery strategies for cloud infrastructures. Should have Security/DevOps/Administration specialty certifications in any of the popular cloud platforms.