38 Cloud Orchestration Jobs - Page 2

Project Role : Cloud Services Engineer Project Role Description : Act as liaison between the client and Accenture operations teams for support and escalations. Communicate service delivery health to all stakeholders and explain any performance issues or risks. Ensure Cloud orchestration and automation capability is operating based on target SLAs with minimal downtime. Hold performance meetings to share performance and consumption data and trends. Must have skills : Managed File Transfer Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Services Engineer, you will act as a liaison between the client and Accenture operations teams for support and escalations. You will communicate service delivery health to all stakeholders and explain any performance issues or risks. Ensure Cloud orchestration and automation capability is operating based on target SLAs with minimal downtime. Hold performance meetings to share performance and consumption data and trends. Roles & Responsibilities: Expected to be an SME. Collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Ensure effective communication between client and operations teams. Analyze service delivery health and address performance issues. Conduct performance meetings to share data and trends. Professional & Technical Skills: Must To Have Skills:Proficiency in Managed File Transfer. Strong understanding of cloud orchestration and automation. Experience in SLA management and performance analysis. Knowledge of IT service delivery and escalation processes. Additional Information: The candidate should have a minimum of 5 years of experience in Managed File Transfer. This position is based at our Pune office. A 15 years full time education is required. Qualifications 15 years full time education

Project Role : Infrastructure Architect Project Role Description : Lead the definition, design and documentation of technical environments. Deploy solution architectures, conduct analysis of alternative architectures, create architectural standards, define processes to ensure conformance with standards, institute solution-testing criteria, define a solutions cost of ownership, and promote a clear and consistent business vision through technical architectures. Must have skills : Microsoft 365 Security & Compliance Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Services Engineer in the Security Delivery job family group, you will be responsible for ensuring Cloud orchestration and automation capability is operating based on target SLAs with minimal downtime. Your typical day will involve acting as a liaison between the client and Accenture operations teams for support and escalations, communicating service delivery health to all stakeholders, and holding performance meetings to share performance and consumption data and trends. Roles & Responsibilities: Act as a liaison between the client and Accenture operations teams for support and escalations. Communicate service delivery health to all stakeholders and explain any performance issues or risks. Ensure Cloud orchestration and automation capability is operating based on target SLAs with minimal downtime. Hold performance meetings to share performance and consumption data and trends. Professional & Technical Skills: Must To Have Skills:Experience in Microsoft 365 Security & Compliance. Defender for O365, Defender for Identity, Defender for Endpoints, Defender for Cloud Apps, Defender for Cloud, Microsoft Purview, DLP, eDiscovery, Microsoft priva, Microsoft Sentinel. Good To Have Skills:Experience in Cloud orchestration and automation. Strong understanding of Cloud technologies and security principles. Experience in managing and monitoring Cloud infrastructure. Experience in incident management and problem resolution. Additional Information: The candidate should have a minimum of 6 years of experience in Microsoft 365 Security & Compliance. Qualifications 15 years full time education

Dear Candidate, We are hiring a Cloud Operations Engineer to manage and optimize cloud-based environments. Ideal for engineers passionate about automation, monitoring, and cloud-native technologies. Key Responsibilities: Maintain cloud infrastructure (AWS, Azure, GCP) Automate deployments and system monitoring Ensure availability, performance, and cost optimization Troubleshoot incidents and resolve system issues Required Skills & Qualifications: Hands-on experience with cloud platforms and DevOps tools Proficiency in scripting (Python, Bash) and IaC (Terraform, CloudFormation) Familiarity with logging/monitoring tools (CloudWatch, Datadog, etc.) Bonus: Experience with Kubernetes or serverless architectures Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

Project Role : Cloud Services Engineer Project Role Description : Act as liaison between the client and Accenture operations teams for support and escalations. Communicate service delivery health to all stakeholders and explain any performance issues or risks. Ensure Cloud orchestration and automation capability is operating based on target SLAs with minimal downtime. Hold performance meetings to share performance and consumption data and trends. Must have skills : Cloud Based Service Management Process Design Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Services Engineer, you will act as a vital link between clients and Accenture's operations teams, facilitating support and managing escalations. Your typical day will involve communicating the health of service delivery to stakeholders, addressing performance issues, and ensuring that cloud orchestration and automation capabilities are functioning optimally. You will hold performance meetings to discuss data and trends, ensuring that services meet the expected service level agreements with minimal downtime, thereby contributing to the overall efficiency and effectiveness of cloud services. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate regular communication between clients and internal teams to ensure alignment on service delivery.- Analyze performance metrics and prepare reports to inform stakeholders of service health and areas for improvement. Professional & Technical Skills: - Must To Have Skills: Proficiency in Cloud Based Service Management Process Design.- Strong understanding of cloud service models and deployment strategies.- Experience with cloud orchestration tools and automation frameworks.- Ability to analyze and interpret service performance data.- Familiarity with incident management and escalation processes. Additional Information:- The candidate should have minimum 5 years of experience in Cloud Based Service Management Process Design.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Cloud Services Engineer Project Role Description : Act as liaison between the client and Accenture operations teams for support and escalations. Communicate service delivery health to all stakeholders and explain any performance issues or risks. Ensure Cloud orchestration and automation capability is operating based on target SLAs with minimal downtime. Hold performance meetings to share performance and consumption data and trends. Must have skills : SUSE Linux Administration Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Services Engineer, you will act as a liaison between the client and Accenture operations teams for support and escalations. You will communicate service delivery health to all stakeholders, explain any performance issues or risks, and ensure Cloud orchestration and automation capability is operating based on target SLAs with minimal downtime. Hold performance meetings to share performance and consumption data and trends. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Proactively identify and address potential issues in Cloud services.- Collaborate with cross-functional teams to optimize Cloud orchestration processes.- Develop and implement strategies to enhance Cloud automation capabilities.- Analyze performance data to identify trends and areas for improvement.- Provide technical guidance and support to junior team members. Professional & Technical Skills: - Must To Have Skills: Proficiency in SUSE Linux Administration.- Strong understanding of Cloud orchestration and automation.- Experience in managing and troubleshooting Cloud services.- Knowledge of scripting languages for automation tasks.- Hands-on experience with monitoring and alerting tools.- Good To Have Skills: Experience with DevOps practices. Additional Information:- The candidate should have a minimum of 3 years of experience in SUSE Linux Administration.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Data Transformation: Utilize Data Build Tool (dbt) to transform raw data into curated data models according to business requirements. Implement data transformations and aggregations to support analytical and reporting needs. Orchestration and Automation: Design and implement automated workflows using Google Cloud Composer to orchestrate data pipelines and ensure timely data delivery. Monitor and troubleshoot data pipelines, identifying and resolving issues proactively. Develop and maintain documentation for data pipelines and workflows. GCP Expertise: Leverage GCP services, including BigQuery, Cloud Storage, and Pub/Sub, to build a robust and scalable data platform. Optimize BigQuery performance and cost through efficient query design and data partitioning. Implement data security and access controls in accordance with banking industry standards. Collaboration and Communication: Collaborate with Solution Architect and Data Modeler to understand data requirements and translate them into technical solutions. Communicate effectively with team members and stakeholders, providing regular updates on project progress. Participate in code reviews and contribute to the development of best practices. Data Pipeline Development: Design, develop, and maintain scalable and efficient data pipelines using Google Cloud Dataflow to ingest data from various sources, including relational databases (RDBMS), data streams, and files. Implement data quality checks and validation processes to ensure data accuracy and consistency. Optimize data pipelines for performance and cost-effectiveness. Banking Domain Knowledge (Preferred): Understanding of banking data domains, such as customer data, transactions, and financial products. Familiarity with regulatory requirements and data governance standards in the banking industry. Required Experience: Bachelor's degree in computer science, Engineering, or a related field. ETL Knowledge. 4-9 years of experience in data engineering, with a focus on building data pipelines and data transformations. Strong proficiency in SQL and experience working with relational databases. Hands-on experience with Google Cloud Platform (GCP) services, including Dataflow, BigQuery, Cloud Composer, and Cloud Storage. Experience with data transformation tools, preferably Data Build Tool (dbt). Proficiency in Python or other scripting languages is a plus. Experience with data orchestration and automation. Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Experience with data streams like Pub/Sub or similar. Experience in working with files such as CSV, JSON and Parquet. Primary Skills: GCP, Dataflow, BigQuery, Cloud Composer, Cloud Storage, Data Pipeline, Composer, SQL, DBT, DWH Concepts. Secondary Skills: Python, Banking Domain knowledge, pub/sub, Cloud certifications (e.g. Data engineer), Git or any other version control system.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Google Cloud Machine Learning Services Good to have skills : GCP Dataflow, Google Pub/Sub, Google Dataproc Minimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are seeking a skilled GCP Data Engineer to join our dynamic team. The ideal candidate will design, build, and maintain scalable data pipelines and solutions on Google Cloud Platform (GCP). This role requires expertise in cloud-based data engineering and hands-on experience with GCP tools and services, ensuring efficient data integration, transformation, and storage for various business use cases.________________________________________ Roles & Responsibilities: Design, develop, and deploy data pipelines using GCP services such as Dataflow, BigQuery, Pub/Sub, and Cloud Storage. Optimize and monitor data workflows for performance, scalability, and reliability. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and implement solutions. Implement data security and governance measures, ensuring compliance with industry standards. Automate data workflows and processes for operational efficiency. Troubleshoot and resolve technical issues related to data pipelines and platforms. Document technical designs, processes, and best practices to ensure maintainability and knowledge sharing.________________________________________ Professional & Technical Skills:a) Must Have: Proficiency in GCP tools such as BigQuery, Dataflow, Pub/Sub, Cloud Composer, and Cloud Storage. Expertise in SQL and experience with data modeling and query optimization. Solid programming skills in Python ofor data processing and ETL development. Experience with CI/CD pipelines and version control systems (e.g., Git). Knowledge of data warehousing concepts, ELT/ETL processes, and real-time streaming. Strong understanding of data security, encryption, and IAM policies on GCP.b) Good to Have: Experience with Dialogflow or CCAI tools Knowledge of machine learning pipelines and integration with AI/ML services on GCP. Certifications such as Google Professional Data Engineer or Google Cloud Architect.________________________________________ Additional Information: - The candidate should have a minimum of 3 years of experience in Google Cloud Machine Learning Services and overall Experience is 3- 5 years - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. Qualifications 15 years full time education

What will you do at Fynd? - Run the production environment by monitoring availability and taking a holistic view of system health. - Improve reliability, quality, and time-to-market of our suite of software solutions - Be the 1st person to report the incident. - Debug production issues across services and levels of the stack. - Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realise it. - Building automated tools in Python / Java / GoLang / Ruby etc. - Help Platform and Engineering teams gain visibility into our infrastructure. - Lead design of software components and systems, to ensure availability, scalability, latency, and efficiency of our services. - Participate actively in detecting, remediating and reporting on Production incidents, ensuring the SLAs are met and driving Problem Management for permanent remediation. - Participate in on-call rotation to ensure coverage for planned/unplanned events. - Perform other task like load-test & generating system health reports. - Periodically check for all dashboards readiness. - Engage with other Engineering organizations to implement processes, identify improvements, and drive consistent results. - Working with your SRE and Engineering counterparts for driving Game days, training and other response readiness efforts. - Participate in the 24x7 support coverage as needed Troubleshooting and problem-solving complex issues with thorough root cause analysis on customer and SRE production environments - Collaborate with Service Engineering organizations to build and automate tooling, implement best practices to observe and manage the services in production and consistently achieve our market leading SLA. - Improving the scalability and reliability of our systems in production. - Evaluating, designing and implementing new system architectures. Some specific Requirements : - B.Tech. in Engineering, Computer Science, technical degree, or equivalent work experience - At least 3 years of managing production infrastructure. - Leading / managing a team is a huge plus. - Experience with cloud platforms like - AWS, GCP. - Experience developing and operating large scale distributed systems with Kubernetes, Docker and and Serverless (Lambdas) - Experience in running real-time and low latency high available applications (Kafka, gRPC, RTP) - Comfortable with Python, Go, or any relevant programming language. - Experience with monitoring alerting using technologies like Newrelic / zybix /Prometheus / Garafana / cloudwatch / Kafka / PagerDuty etc. - Experience with one or more orchestration, deployment tools, e. CloudFormation / Terraform / Ansible / Packer / Chef. - Experience with configuration management systems such as Ansible / Chef / Puppet. - Knowledge of load testing methodologies, tools like Gating, Apache Jmeter. - Work your way around Unix shell. - Experience running hybrid clouds and on-prem infrastructures on Red Hat Enterprise Linux / CentOS - A focus on delivering high-quality code through strong testing practices.

GCP Data Engineer - 5+ Years of experience - GCP (all services needed for Big Data pipelines like BigQuery, DataFlow, Pub/Sub, BigTable, Data Fusion, DataProc, Cloud Composer, Cloud SQL, Compute Engine, Cloud Functions, App Engine), Spark, Scala, Hadoop - Python, PySpark, Orchestration (Airflow), SQL CI/CD (experience with Deployment pipelines) Architecture and Design of cloud-based Big Data pipelines and exposure to any ETL tools Nice to Have - GCP certifications

Role & responsibilities Proven success architecting and scaling complex software solutions, Familiarity with interface design. Experience and ability to drive a project/module independently from an execution stand. Prior experience with scalable architecture and distributed processing. Strong Programming expertise in Python, SQL, Scala Hands-on experience on any major big data solutions like Spark, Kafka, Hive. Strong data management skills with ETL, DWH, Data Quality and Data Governance. Hands-on experience on microservices architecture, docker and Kubernetes as orchestration. Experience on cloud-based data stores like Redshift and Big Query. Experience in cloud solution architecture. Experience on architecture of running spark jobs on k8s and optimization of spark jobs. Experience in MLops architecture/tools/orchestrators like Kubeflow, MLflow Experience in logging, metrics and distributed tracing systems (e.g. Prometheus/Grafana/Kibana) Experience in CI/CD using octopus/teamcity/jenkins Interested candidate can share their updated resume at surinder.kaur@mounttalent.com

About The Role : Job Title Senior engineer - (Data Engineer (ETL, Big Data, Hadoop, Spark, GCP), AVP Location:Pune, India Role Description Senior engineer is responsible for developing and delivering elements of engineering solutions to accomplish business goals. Awareness is expected of the important engineering principles of the bank. Root cause analysis skills develop through addressing enhancements and fixes 2 products build reliability and resiliency into solutions through early testing peer reviews and automating the delivery life cycle. Successful candidate should be able to work independently on medium to large sized projects with strict deadlines. Successful candidates should be able to work in a cross application mixed technical environment and must demonstrate solid hands-on development track record while working on an agile methodology. The role demands working alongside a geographically dispersed team. The position is required as a part of the buildout of Compliance tech internal development team in India. The overall team will primarily deliver improvements in compliance tech capabilities that are major components of the regular regulatory portfolio addressing various regulatory common commitments to mandate monitors. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Analyzing data sets and designing and coding stable and scalable data ingestion workflows also integrating into existing workflows Working with team members and stakeholders to clarify requirements and provide the appropriate ETL solution. Work as a senior developer for developing analytics algorithm on top of ingested data. Work as though senior developer for various data sourcing in Hadoop also GCP. Own unit testing UAT deployment end user sign off and prod go live. Ensuring new code is tested both at unit level and system level design develop and peer review new code and functionality. Operate as a team member of an agile scrum team. Root cause analysis skills to identify bugs and issues for failures. Support Prod support and release management teams in their tasks. Your skills and experience More than 10+ years of coding experience in experience and reputed organizations Hands on experience in Bitbucket and CI/CD pipelines Proficient in Hadoop, Python, Spark, SQL Unix and Hive Basic understanding of on Prem and GCP data security Hands on development experience on large ETL/ big data systems .GCP being a big plus Hands on experience on cloud build, artifact registry ,cloud DNS ,cloud load balancing etc. Hands on experience on Data flow, Cloud composer, Cloud storage ,Data proc etc. Basic understanding of data quality dimensions like Consistency, Completeness, Accuracy, Lineage etc. Hands on business and systems knowledge gained in a regulatory delivery environment. Desired Banking experience regulatory and cross product knowledge. Passionate about test driven development. Prior experience with release management tasks and responsibilities. Data visualization experience is good to have. How we'll support you Training and development to help you excel in your career. Coaching and support from experts in your team A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs.

Overview GCP all services (Pubsub, BQ, Airflow, data proc, cloud composer, gcs) +Teradata Responsibilities GCP all services (Pubsub, BQ, Airflow, data proc, cloud composer, gcs) + Teradata Requirements GCP all services (Pubsub, BQ, Airflow, data proc, cloud composer, gcs) + Teradata

Google BigQuery Location- Pan India Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Key Responsibilities : Analyze and model client market and key performance data Use analytical tools and techniques to develop business insights and improve decisionmaking \n1:Data Proc PubSub Data flow Kalka Streaming Looker SQL No FLEX\n2:Proven track record of delivering data integration data warehousing soln\n3: Strong SQL And Handson Pro in BigQuery SQL languageExp in Shell Scripting Python No FLEX\n4:Exp with data integration and migration projects Oracle SQL Technical Experience : Google BigQuery\n\n1: Expert in Python NO FLEX Strong handson knowledge in SQL NO FLEX Python programming using Pandas NumPy deep understanding of various data structure dictionary array list tree etc experiences in pytest code coverage skills\n2: Exp with building solutions using cloud native services: bucket storage Big Query cloud function pub sub composer and Kubernetes NO FLEX\n3: Pro with tools to automate AZDO CI CD pipelines like ControlM GitHub JIRA confluence CI CD Pipeline Professional Attributes :