2272 Cloud Computing Jobs - Page 20

Voicecare AI is a Healthcare Administration General Intelligence (HAGI) company for the back-office and the RCM industry. We are building a safety focused large and small conversational language model for the healthcare industry. Our mission is to dramatically improve access, adherence, and outcomes for the patients and the healthcare workforce through the application of generative AI. We are a venture-backed company partnering with the top healthcare stakeholders in the country. As the Senior Platform DevOps and Security on Google Cloud Platform (GCP), you will play a pivotal role in overseeing the development, deployment, and security of cloud-based infrastructure supporting AI-driven healthcare solutions and AI agents. This role requires someone who can ensure efficient, compliant, and secure software delivery within the highly regulated healthcare environment. Platform Strategy and Roadmap Develop and execute a strategic roadmap for the platform, ensuring alignment with healthcare industry standards and business goals. Foster innovation while ensuring reliability, scalability, and security of AI-driven healthcare solutions. DevOps Practices Implement and maintain automated DevOps processes, tools, and CI/CD pipelines to streamline development and deployment. Optimize DevOps workflows to ensure high availability and compliance with healthcare security standards. Security & Compliance Design, implement, and enforce healthcare-grade security policies and procedures to protect sensitive patient data (e.g., PHI under HIPAA). Ensure compliance with HIPAA, HITRUST, SOC 2 Type II, and NIST-CSF security frameworks. Develop and enforce zero-trust security principles across all platform components. Infrastructure as Code (IaC) & Cloud Expertise Automate infrastructure provisioning using Terraform, Cloud Deployment Manager, or equivalent tools. Leverage GCP services to build a scalable, secure, and high-performing cloud ecosystem. Monitoring, Alerting, & Performance Optimization Establish real-time monitoring, logging, and alerting systems to proactively identify and resolve platform issues Optimize platform performance, scalability, and cost-efficiency to meet healthcare workloads. Skills and Experience: Technical Expertise Cloud Computing: Demonstrated and extensive experience with GCP. Compute Engine, Cloud Storage, App Engine, Cloud Functions, Cloud SQL, Cloud Datastore, Cloud Pub/Sub, etc. Database : MongoDB or PostgresQL DevOps: Strong knowledge of automated CI/CD, containerization (Docker, Kubernetes),and automation tools like GitHub, Jenkins, CircleCI, Terraform, Ansible, Docker, Kubernetes. Security: Expertise in cloud security, threat modeling, IAM, and zero-trust architectures. Security Scanner, Cloud Security Command Center, Cloud Armor, Cloud Identity and Access Management (IAM) Infrastructure as Code (IaC): Proficiency in Terraform, Ansible, or Cloud Deployment Manager. Scripting & Automation: Strong scripting skills (e.g., Python, Bash) for infrastructure automation. Networking: Understanding of cloud networking, VPNs, and firewall security. Observability: Hands-on experience with logging, monitoring, and alerting tools. Healthcare-Specific Expertise Deep understanding of healthcare regulatory requirements, including HIPAA, HITRUST, NIST, and SOC 2. Experience working with healthcare data pipelines, interoperability (FHIR, HL7), and privacy-preserving AI solutions. Knowledge of Revenue Cycle Management (RCM) processes and challenges. Understanding of healthcare cybersecurity threats and best practices for PHI protection. Leadership & Soft Skills Leadership & Team Building: Proven ability to lead and mentor cross-functional teams. Problem-Solving: Strong analytical skills to diagnose and resolve complex technical issues. Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, Cybersecurity, or a related field. 4-6+ years of experience in DevOps, cloud architecture, and security roles, preferably within the healthcare or regulated industries. 4-6+ years of leadership experience managing DevOps, security, or cloud engineering teams. Experience working in healthcare AI, health tech startups, or enterprise healthcare IT environments. Relevant certifications preferred (e.g., GCP Professional Cloud Architect, CISSP, CISM, CISA, AWS/GCP Security Specialty). Candidates located in Bangalore will be given preference

Imagine what we could do together. At Apple, new ideas have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and theres no telling what you could accomplish. The people here at Apple don t just build products they craft the kind of wonder that s revolutionized entire industries. It s the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts.Apple s ETS group is looking for a versatile Site Reliability Engineering (SRE) Manager with great technical acumen, strong background in operations, automation, implementation and development.As a Site Reliability Engineering Manager, you will be leading a team responsible for ensuring the availability of high volume, critical enterprise platforms/applications and scale seamlessly. The application range from a broad spectrum of security platforms, anomaly detection, malware and abuse detection and prevention, edge security etc. to name a few and integrations with Apples supply chain partners such as manufacturers, logistics providers, banks, resellers and business customers. Description As a Site Reliability Engineering (SRE) Manager, candidate will be responsible for building, developing, and, retaining a high-performing team of software engineers and build an environment where they can thrive and succeed.While the primary role is leading/managing employees, you should have deep technical knowledge on distributed systems and cloud computing, security platforms and can quickly understand and respond to peer teams needs. It is also encouraged that you have strong experience working with short release cycles, do not hesitate to :- Actively participate in architectural and functional design, implementation and troubleshooting sessions- Review hardware, software infrastructure and application functionality for identifying and optimizing performance bottlenecks- Drive major incident management to restore order- Spearhead in designing and implementing comprehensive monitoring for applications, integrations and anomalies- Innovate and find opportunities and drive automation efforts across various platform and security applications - Working closely with Cross functional IT organization, Business group, Apples production support team, application engineers, systems engineers, database administrators and QA team to effectively ensure implementation and reliability of Platforms/Applications- A proven track record with managing, motivating and providing technical guidance to a team of software engineers to draw out their best work will be key to success- Ensuring quality in every deliverable, creative thinking, strong problem solving, and the ability to collaborate with other global cross-functional teams in a fast paced environment will be meaningful attributes to succeed in this role At least 12+ years of prior demonstrated experience in a Site Reliability Engineering, DevOps, or an Infrastructure-focused role 3+ years of experience leading and managing high performance SRE teams Proven track record in leading sophisticated SRE projects, enterprise services at a large scale Strong analytical, troubleshooting and problem solving skills Good knowledge in at least one object oriented programming language (preferably Java , Python) Unix Performance Monitoring & Tuning Good understanding of Database concepts, PL/SQL and NoSql Technologies Hands on experience with monitoring and data analysis tools (e.g., Prometheus, Splunk, Grafana, Cloudwatch) Building and operating container orchestrating systems like Kubernetes or EKS Deep understanding of security concepts and protocols -authentication, authorization, signing, encryption, SSL/TLS, SSH/SFTP, PKI, X509 certificates and PGP Good fundamentals on Release Management & continuous Integration Familiarity with modern web services architectures, cloud platforms such as AWS, GCP, Azure and distributed storage systems (ScaleIO, Amazon S3) Ability to communicate with large cross-functional teams about various engineering topics such as system architecture, detailed design, APIs, project schedules etc. Ability to make right trade-off choices when dealing with functional complexity, conflicting priorities and aggressive schedules Represent the team and remove hurdles to enable each team member to operate at the highest level of efficiency and productivity Ability to hire, mentor and manage the performance of a large team Ability to connect with senior executives and business stakeholders A learning attitude to continuously improve self, team and the organisation Ability to work under pressure and manage difficult situations in a fast-paced work environment Bachelor or Masters or equivalent experience in Computer Science or other related field Preferred Qualifications Java and JVM technologies runtime configurations and troubleshooting is preferred Good fundamentals on data modelling and machine learning algorithms Strong knowledge on securing applications, thorough understanding of OWASP top 10 risks and solutions.

The Individual will be working as an Account Manager as a part of the Deep / Deep like focus accounts within ISV Industry Unit managing either mix of Large Focus accounts or Deep Account(s). ISV IDU team consists of 7 Account Managers Account Manager shall be responsible for 1/ growing the business in the named account by helping bring workloads that are currently on-prem, 2/ work closely with Partner team team and drive integration of ISV workloads on AWS. AM is expected to have an ability to operate independently and also expected to ramp up within a quarter to start pitching AWS to the field. Work on building an Account plan for the named set of accounts to adopt AWS services internally and for their end customers. 1.Build strong relationship and earn trust with the named set of accounts. 2.Build and deliver on the Yearly revenue and Account Plans 3.Develop and execute against a comprehensive account/territory plan. 4.Deliver information on programs, promotions and deals with named accounts. 5.Exceeds various business objectives 6.Create & articulate compelling value propositions around AWS services. 7.Acquire new workloads for AWS. Migrate workloads from On-Prem to Cloud. 8.Possess the technical ability to explain (not implement) Cloud Computing, infrastructure solutions (Server, Storage, DC Services) & Internet architectures (firewalls, load balancers, etc). A day in the life As an Account manager, you will be the owner of your assigned territory and will focus on driving digital transformation through meaningful engagement with C-level executives, IT leaders, architects, developers, and various lines of businesses of your customers. In this role, you will partner closely with internal stakeholders and represent the entire portfolio of AWS products and services across your assigned customer base within the ISV segment. You will act as a thought leader and advisor to our customer and help influence the technology decisions they make and accelerate sell-to and sell-with sales motions to help drive growth of our customers and AWS. -Research and preparation for the day s customers meetings and calls -Collaborate with Cross functional teams on pitches and demos -Customer meeting(s) and customer cadence calls -Stakeholder mapping -Ensure high standards and maintain SFDC hygiene -Ensure timely communication with External and Internal stakeholders About the team AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing smalland mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn t followed a traditional path, or includes alternative experiences, don t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there s nothing we can t achieve in the cloud. Inclusive Team Culture Here at AWS, it s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We re continuously raising our performance bar as we strive to become Earth s Best Employer. That s why you ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 10+ years of technology related sales; marketing or business development experience. A technical background in engineering, computer science/MIS or equivalent work experience required Strong verbal and written communications skills. Extensive experience working in a results driven team. Extensive customer & contact network. Sales experience with virtualization/infrastructure solutions a bonus. Ability to drive accounts independently. Self-Starter with ability to close the complete sales cycle. Good communication skills to interact with and convey structured arguments to high-level business stakeholders Understanding of cloud.

We are seeking a highly motivated Senior Cloud Sales Executive with 3 to 6 years of experience to join our team The successful candidate will be responsible for driving new business development and achieving sales targets by selling our cloud solutions to clients in various industries Responsibilities Identify, qualify, and develop new business opportunities through effective prospecting, networking, and relationship building Build and maintain strong client relationships by understanding their business needs and providing relevant cloud solutions Work collaboratively with our technical team to develop and present customized cloud proposals to clients Achieve sales targets and drive revenue growth by effectively managing the sales process from lead generation to close Stay up-to-date with industry trends and best practices, and continuously enhance knowledge of our cloud solutions RequirementsBachelors degree in Business Administration, Marketing, or a related field 3 to 6 years of experience in cloud sales, with a proven track record of achieving sales targets Strong understanding of cloud technologies and solutions Excellent communication and interpersonal skills, with the ability to build and maintain strong client relationships Ability to work independently and collaboratively in a fast-paced environment Results-oriented mindset with a focus on driving revenue growth Experience working with Salesforce or other CRM tools is a plus Knowledge on IAAS Cloud solutions If you are a highly motivated individual with a passion for cloud sales and a proven track record of success, we encourage you to apply for this exciting opportunity

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurgaon, Haryana, India; Bengaluru, Karnataka, India.Minimum qualifications:. Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience, 8 Years of experience working with external partners on conversation architecture and bot designing. 8 years of experience in solution engineering or architecture and 5 years of experience in stakeholder management, professional services, or technical consulting, 3 years of experience writing code in one or more programming languages (e-g., Python, Java), 2 years of experience managing a technical team in a cloud computing environment, Experience with Generative AI, natural language processing, conversational flow and related concepts, Preferred qualifications:. Master’s degree in Engineering, Computer Science, Business, or a related field, Experience in Linguistics, Applied Linguistics, Cognitive Science, or related discipline with a focus on Conversation Analysis, Pragmatics, Language Use, Cognitive Linguistics, Philosophy of Language, or Natural Language Processing (NLP), Experience in chat or voice bot development, NLP based Conversation flow design, contact center technologies or linguistics, Understanding the call center and digital ecosystem to track and monitor Key Performance Indicator( KPIs), About The Job. The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners, Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems, Responsibilities. Identify opportunities with Google’s most strategic customers to apply conversational AI in their business, implement solutions for customer use cases, leveraging core Google products, and transforming their contact centers using Google’s conversational AI solution, Manage and grow a team of Architects, Consultants and Engineers, Work with sales/partner leads and technical stakeholders to translate customer requirements into appropriate conversational AI Solution architectures, Statement of Work (SOWs), project and staffing plans, Develop conversational Artificial Intelligence (AI) solution delivery strategies and methodologies with product and engineering teams; consolidate lessons learned into a curated knowledge base to enable global scaling of industry solutions, Recommend and document migration paths, integration strategies, and application architectures needed to successfully implement complete conversational AI solutions using best practices on Google Cloud, Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form , Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurgaon, Haryana, India; Bengaluru, Karnataka, India.Minimum qualifications:. Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience, 8 Years of experience working with external partners on conversation architecture and bot designing. 8 years of experience in solution engineering or architecture and 5 years of experience in stakeholder management, professional services, or technical consulting, 3 years of experience writing code in one or more programming languages (e-g., Python, Java), 2 years of experience managing a technical team in a cloud computing environment, Experience with Generative AI, natural language processing, conversational flow and related concepts, Preferred qualifications:. Master’s degree in Engineering, Computer Science, Business, or a related field, Experience in Linguistics, Applied Linguistics, Cognitive Science, or related discipline with a focus on Conversation Analysis, Pragmatics, Language Use, Cognitive Linguistics, Philosophy of Language, or Natural Language Processing (NLP), Experience in chat or voice bot development, NLP based Conversation flow design, contact center technologies or linguistics, Understanding the call center and digital ecosystem to track and monitor Key Performance Indicator( KPIs), About The Job. The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners, Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems, Responsibilities. Identify opportunities with Google’s most strategic customers to apply conversational AI in their business, implement solutions for customer use cases, leveraging core Google products, and transforming their contact centers using Google’s conversational AI solution, Manage and grow a team of Architects, Consultants and Engineers, Work with sales/partner leads and technical stakeholders to translate customer requirements into appropriate conversational AI Solution architectures, Statement of Work (SOWs), project and staffing plans, Develop conversational Artificial Intelligence (AI) solution delivery strategies and methodologies with product and engineering teams; consolidate lessons learned into a curated knowledge base to enable global scaling of industry solutions, Recommend and document migration paths, integration strategies, and application architectures needed to successfully implement complete conversational AI solutions using best practices on Google Cloud, Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form , Show more Show less

Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide, Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves, The Team. Five9 is a leading provider of cloud software for the enterprise contact center market, bringing the power of the cloud to thousands of customers and facilitating more than three billion customer interactions annually. Since 2001, Five9 has led the cloud revolution in contact centers, helping organizations transition from legacy premise-based solutions to the cloud. Five9 provides businesses with cloud contact center software that is reliable, secure, compliant, and scalable, which is designed to create exceptional customer experiences, increase agent productivity, and deliver tangible business results, The Platform Infrastructure Team at Five9 is responsible for building and maintaining the Cloud Infrastructure that supports the development, deployment of software hosted by Five9. The platform infrastructure team provides critical Cloud infrastructure, tools and resources that enable software developers to build and deploy software more efficiently and effectively. This position is based out of one of the offices of our affiliate Acqueon Technologies in India, and will adopt the hybrid work arrangements of that location. You will be a member of the Acqueon team with responsibilities supporting Five9 products, collaborating with global teammates based primarily in the United States. Role Purpose. As part of the Cloud Platform Engineering team, you will be building Five9’s Classic on-prem and Modern SaaS platform, An ideal candidate for us is:. an experienced engineer who is passionate about building high performance cloud platforms with automation-first mindset,. a brilliant problem solver, and. a creative self-starter, How You Contribute. Be part of Cloud Platform Infrastructure Team, focused on building on-prem and hybrid-cloud solutions, Build automation capabilities towards common abstractions, tools, automation for CI/CD and progressive delivery of on-prem and Cloud Native applications, Enable all Five9 development teams with on-prem and Cloud Native developer workflow, conduct developer training and toolset to automate software delivery with a focus on Scale, HA, Design, and build secure, highly scalable, enterprise grade platform services, Document and communicate clearly of architecture and implementation solutions, Work closely with product managers, architects, testers, and development teams, Troubleshoot and support current Cloud platform in production, Expertise to Debug & Support Production issues, Skills, Competencies And Qualifications. Required:. 5+ years of professional DevOps / production operations experience, 3+ years of Cloud Native application delivery experience, Hands-on experience with Kubernetes, CI/CD tools like GitLab, TeamCity, Intimate knowledge of public cloud infrastructures (GCP Preferred, AWS, Azure), Hands-on experience working on core Cloud services – compute, storage, network, virtualization, Identity and Access Management (IAM), Experience in Infrastructure as Code (IaC), to be responsible for building robust platforms using automation, Knowledge of Linux based systems and runtimes, Development experience in one or more programming languages Python, Terraform, Java, etc,. Experience level in Current technology Stack:. Helm, K8S, Istio, GCP, AWS, GKE,EKS,Terraform,. SRE/DevOps practices or equivalent, Experience working with at least 1 or more Cloud Provider automation tools, Other Requirements. This position requires the ability to be On Call, Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer, View our privacy policy, including our privacy notice to California residents here: https://www,five9,/pt-pt/legal, Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9, Show more Show less

Job Description. We are looking for a highly motivated and experienced professional to lead our IT infrastructure sales initiatives. The ideal candidate will drive revenue growth by identifying new business opportunities, managing client relationships. This role requires a deep understanding of IT infrastructure solutions and the ability to align them with client needs to deliver value driven outcomes, Key Responsibilities. Sales Strategy and Planning:. Develop and implement a sales strategy for IT infrastructure solutions, including cloud services, networking, data centers, managed IT services, and cybersecurity, Identify and prioritize target markets, industries, and customer segments to achieve business growth, Business Development:. Build a robust sales pipeline through lead generation, networking, and relationship-building, Identify customer pain points and tailor IT infrastructure solutions to meet their business goals, Prepare and present compelling proposals, RFPs, and business cases to prospective clients, Customer Relationship Management:. Establish and build strong executive-level relationships with clients, gaining a deep understanding of their business objectives, strategies, and IT requirements, Act as a trusted advisor, aligning IT infrastructure solutions with customer goals to create long-term value, Drive customer satisfaction by proactively addressing their needs and challenges, Account Management:. Cultivate strong relationships with existing clients to ensure satisfaction and identify upselling and cross-selling opportunities, Collaborate with internal teams to ensure the seamless delivery of services and solutions, Market Analysis and Reporting:. Monitor market trends, competitor activities, and emerging technologies to identify new opportunities, Provide regular sales forecasts, performance reports, and strategic insights to senior management, Stay updated on industry standards and advancements in IT infrastructure to ensure competitive offerings, Qualifications and Experience:. Bachelor’s degree in Business, IT, or a related field (MBA preferred), 8 + years of experience in sales. Proven track record of meeting or exceeding sales targets in a competitive environment, Strong understanding of IT infrastructure technologies, such as cloud computing, networking, storage, virtualization, and managed services, Proven ability to build and manage executive-level relationships, Excellent communication, negotiation, and presentation skills, Key Skills:. Strategic thinking and business acumen, Customer-centric approach with strong problem-solving abilities, Ability to analyze market trends and translate them into actionable strategies, Proficiency in CRM tools and sales analytics platforms, Show more Show less

We are seeking an experienced and highly skilled Senior Solutions Architect with expertise in Cloud technologies (Azure and Oracle) to join our dynamic team. The ideal candidate will have a strong background in healthcare IT systems and solutions, with a proven track record of designing complex architecture for cloud-based and on-premise environments. As a Senior Solutions Architect, you will work closely with the other Architects in the team, business stakeholders, development teams, and senior leadership to deliver innovative and scalable solutions that align with the organization's goals and meet the unique needs of the healthcare sector. Duties & Responsibilities: Lead the design and provide implementation oversight of complex cloud-based, on-premise and hybrid solutions using Microsoft Azure, Oracle cloud technologies, and other relevant platforms Collaborate with cross-functional teams, including business analysts, project managers, and developers, to ensure that solutions are aligned with organizational goals and meet the needs of the healthcare industry Provide thought leadership and best practices in architecture design, cloud strategy, and integration across on-premise and cloud environments Design secure, scalable, and high-performance cloud and on-premise architectures while ensuring compliance with healthcare industry regulations such as PIPEDA, HIPAA and other relevant standards Guide teams in developing solutions that optimize cloud resources, improve system performance, and reduce costs Assess and recommend new cloud technologies, tools, and best practices for improving healthcare IT systems Conduct architectural reviews with both technical and non-technical stakeholders to ensure solutions are feasible and align with overall business strategy Mentor junior architects and other technical staff, providing guidance on architectural design, best practices, and industry trends Lead migration projects from legacy systems to modern cloud-based solutions in the healthcare environment Stay up-to-date with the latest trends in cloud computing, healthcare technology, and regulations, ensuring the solutions delivered are innovative and compliant

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India; Gurugram, Haryana, India.Minimum qualifications:. Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.. 3 years of experience in building Machine Learning or Data Science solutions.. Experience in Python, Scala, R, or related, with data structures, algorithms, and software design.. Ability to travel up to 30% of the time as needed.. Preferred qualifications:. Experience with recommendation engines, data pipelines, or distributed machine learning with data analytics, data visualization techniques and software, and deep learning frameworks.. Experience in software development, professional services, solution engineering, technical consulting with architecting and rolling out new technology and solution initiatives.. Experience with Data Science techniques.. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, and Load/Extract, Load and Transform (ETL/ELT) and reporting tools and environments.. Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.. Excellent communication skills.. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.. In this role, you will play a role in ensuring that customers have the best experience moving to the Google Cloud machine learning (ML) suite of products. You will design and implement machine learning solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with machine learning, and will travel to customer sites to deploy solutions and deliver workshops designed to educate and empower customers to realize the potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product code, and address customer and partner needs.You will lead the execution of adopting the Google Cloud Platform solutions to the customer’s requirements.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.. Responsibilities. Deliver big data and machine learning solutions and solve technical customer tests.. Act as a trusted technical advisor to Google’s customers.. Identify new product features and feature gaps, provide guidance on existing product tests, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.. Deliver recommendations, tutorials, blog articles, and technical presentations adapting to different levels of business and technical stakeholders.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurugram, Haryana, India; Bengaluru, Karnataka, India; Hyderabad, Telangana, India.Minimum qualifications:. Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.. Experience building Machine Learning or Data Science solutions.. Experience writing software in Python, Scala, R, or similar.. Experience with data structures, algorithms, and software design.. Ability to travel up to 30% of the time.. Preferred qualifications:. Experience working with recommendation engines, data pipelines, or distributed machine learning, data analytics, data visualization techniques and software, and deep learning frameworks.. Experience in software development, professional services, solution engineering, technical consulting, architecting and rolling out new technology and solution initiatives.. Experience with core Data Science techniques.. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments.. Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.. Excellent customer-facing communication and listening skills.. About The Job. The Google Cloud Platform team helps customers transform and build what's next for their business, all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers, developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.. As a Cloud Engineer, you will play a key role in ensuring that customers have the best experience moving to the Google Cloud machine learning (ML) suite of products. You will design and implement machine learning solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with machine learning, and will travel to customer sites to deploy solutions and deliver workshops designed to educate and empower customers to realize the full potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product code, and address customer and partner needs. In this role, you will lead the timely execution of adopting the Google Cloud Platform solutions to the customer’s requirements.. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.. Responsibilities. Deliver effective big data and machine learning solutions and solve technical customer issues.. Act as a technical advisor to Google’s customers.. Identify new product features and feature gaps, provide guidance on existing product issues, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.. Deliver best practice recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical stakeholders.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

Job Details: The IT Operations Developer II is responsible for providing technical support, maintenance, and development for business applications This role involves troubleshooting issues, implementing bug fixes, developing enhancements, and ensuring optimal application performance The ideal candidate will have strong technical skills, a deep understanding of software development, and a commitment to delivering excellent user support Essential Duties and Responsibilities: Application Support: Provide technical support for business applications, addressing user queries and resolving technical issues promptly Troubleshooting: Diagnose and troubleshoot difficult application problems, working with users and functional teams to identify root causes and implement solutions Development and Enhancement: Develop and implement application enhancements, bug fixes, and new features based on user requirements and business needs Performance Monitoring: Monitor application performance and system health, ensuring applications run efficiently and identifying potential issues before they impact users User Assistance: Assist users with application-related questions and provide training and documentation to help them effectively use the applications Incident Management: Manage and prioritize incidents and service requests, ensuring timely resolution and stakeholder communication Collaboration: Work closely with development teams, IT, and other stakeholders to implement application updates, patches, and enhancements Documentation: Maintain comprehensive documentation of application configurations, support procedures, development changes, and troubleshooting steps Change Management: Participate in change management processes, ensuring application changes are tested and deployed smoothly Compliance and Security: Ensure applications comply with security policies and regulatory requirements, implementing necessary controls and safeguards Continuous Improvement: Identify process improvements and automation opportunities to enhance application support and efficiency Perform other assigned job-related duties that align with our organizations vision, mission, and values and fall within your scope of practice Qualifications: Education: Bachelors Degree or relevant experience Computer Science, Management Information Systems, or a related field Preferred Certification(s): Any relevant IT Certification Experience: 1+ years relevant or practical experience Special Skills: Proficiency in Programming Languages: Experience with relevant languages like Java, C++, and JavaScript is crucial for developing and supporting applications Database and SQL Server Experience: Experience of working with databases and performing data analysis is essential Web Development Skills: Experience of HTML, CSS, and object-oriented programming to support web-based applications Cloud Computing: Experience with cloud computing, as many applications are now cloud-based Technical Solution Development: Experience developing, supporting, and maintaining technical solutions is essential Developing Collaborator: Improves eloquence in technical discussions Displays growing empathy and self-awareness in team dynamics Demonstrates enhanced problem-solving skills and time management Adapts well to changes in project requirements and technologies

About MSIL - If you have travelled in India, taken a route to anywhere around this great nation, chances are you ve driven with us. For close to four decades now, Maruti Suzuki cars have been going places. A Joint Venture Agreement with Suzuki Motor Corporation of Japan in 1982 laid the foundations of Maruti Suzuki that we all see today. Today, Maruti Suzuki alone makes more than 1.8 million Maruti Suzuki family cars every year. That s one car every 10 seconds. We drive up head and shoulders above every major global auto company. We have built our story with a belief in small cars for a big future. The Maruti Suzuki journey has been nothing less than spectacular. We are looking for a IoT Domain Consultant Role Objective The Domain Consultant will play a pivotal role in designing, implementing, and optimizing cloud-based IoT solutions for MSIL and partner plants. This role requires a deep understanding of IoT technologies, cloud platforms, and industry best practices to deliver robust and scalable solutions Key Responsibilities 1. Develop comprehensive IoT strategies and roadmaps tailored to client needs. 2. Design and architect cloud-based IoT solutions, ensuring scalability, security, and performance. 3. Oversee the deployment and integration of IoT solutions with existing business systems. 4. Ensure seamless data flow and connectivity between IoT devices and cloud platforms 5. Provide expert guidance on IoT technologies, cloud platforms (e.g., AWS, Azure, Google Cloud), and best practices. 6. Stay updated with the latest trends and advancements in IoT and cloud computing. 7. Lead and manage IoT projects from inception to completion, ensuring timely delivery and adherence to quality standards. 8. Implement robust security measures to protect IoT data and infrastructure. 9. Ensure compliance with relevant industry standards and regulations. Behavioral Competencies Result Orientation Learning Agility Collaboration Customer Centricity Change Agility Innovation & New Ways of Working Strategic Thinking Qualifications BE / B Tech in IT, Computer Science, ECE Experience 4 years to 6 years

We are seeking a highly skilled and motivated System Ops Engineer with a strong background in computer science or statistics, and at least 5 years of professional experience. The ideal candidate will possess deep expertise in cloud computing (AWS), data engineering, Big Data applications, AI/ML, and SysOps. A strong technical foundation, proactive mindset, and ability to work in a fast-paced environment are essential.. Key Responsibilities. Cloud Expertise:. Proficient in AWS services including EC2, VPC, Lambda, DynamoDB, API Gateway, EBS, S3, IAM, and more.. Design, implement, and maintain scalable, secure, and efficient cloud-based solutions.. Execute optimized configurations for cloud infrastructure and services.. Data Engineering. Develop, construct, test, and maintain data architectures, such as databases and processing systems.. Write efficient Spark and Python code for data processing and manipulation.. Administer and manage multiple ETL applications, ensuring seamless data flow.. Big Data Applications. Lead end-to-end Big Data projects, from design to deployment.. Monitor and optimize Big Data systems for performance, reliability, and scalability.. AI/ML Applications. Hands-on experience developing and deploying AI/ML models, especially in Natural Language Processing (NLP), Computer Vision (CV), and Generative AI (GenAI).. Collaborate with data scientists to productionize ML models and support ongoing model performance tuning.. DevOps And IaaS. Utilize DevOps tools for continuous integration and deployment (CI/CD).. Design and maintain Infrastructure as a Service (IaaS) ensuring scalability, fault-tolerance, and automation.. SysOps Responsibilities. Manage servers and network infrastructure to ensure system availability and security.. Configure and maintain virtual machines and cloud-based system environments.. Monitor system logs, alerts, and performance metrics.. Install and update software packages and apply security patches.. Troubleshoot network connectivity issues and resolve infrastructure problems.. Implement and enforce security policies, protocols, and procedures.. Conduct regular data backups and disaster recovery tests.. Optimize systems for speed, efficiency, and reliability.. Collaborate with IT and development teams to support integration of new systems and applications. Qualifications. Bachelor's degree in Computer Science, Statistics, or a related field.. 5+ years of experience in cloud computing, data engineering, and related technologies.. In-depth knowledge of AWS services and cloud architecture.. Strong programming experience in Spark and Python.. Proven track record in Big Data applications and pipelines.. Applied experience in AI/ML models, particularly in NLP, CV, and GenAI domains.. Skilled in managing and administering ETL tools and workflows.. Experience with DevOps pipelines, CI/CD tools, and cloud automation.. Demonstrated experience with SysOps or cloud infrastructure/system operations.. Show more Show less

Supports the design, deployment, and operations of a large-scale global Oracle cloud computing environment (Oracle Cloud Infrastructure - OCI). Primarily focused on development and support of network fabric and systems through a combination of a deep level understanding of networking at the protocol level coupled with programming skills to support the intensive automation required to operate a production environment. As OCI is a cloud-based network with a global footprint, this support will include hundreds of thousands of network devices supporting millions of servers, connected over a mix of dedicated backbone infrastructure and the Internet. Career Level - IC5 Cloud Network Design and Architecture: Design, implement, and maintain scalable, secure, and high-performance network architectures within cloud environments (OCI, Azure, GCP). Architect virtual private networks (VPN), virtual LANs (VLANs), load balancing, and private/public IP addressing schemes in cloud environments. Optimize network connectivity to ensure high availability, low latency, and fault tolerance. Network Security and Compliance: Implement robust network security solutions including firewalls, network access controls (NAC), encryption, and network segmentation. Ensure compliance with industry standards (e.g., HIPAA, GDPR, PCI-DSS) and cloud provider security best practices. Proactively identify and mitigate security risks related to network architecture. Collaboration and Stakeholder Management: Work closely with cloud engineering, security, and DevOps teams to align cloud network designs with product requirements. Collaborate with infrastructure, applications, and security teams to ensure the network architecture supports the deployment and operation of cloud services. Provide technical leadership and mentorship to junior network engineers and architects. Performance Monitoring and Optimization: Use monitoring tools to assess network performance, troubleshoot issues, and implement optimizations. Conduct regular network capacity planning to ensure the infrastructure can handle future growth. Analyze and resolve network bottlenecks, latency issues, and connectivity problems. Automation and Continuous Improvement: Implement infrastructure-as-code (IaC) using tools like Terraform to automate cloud network provisioning and management. Continuously assess and improve network designs, incorporating the latest best practices, technologies, and industry trends. Innovate and implement solutions to reduce operational costs while increasing network efficiency and performance. Documentation and Reporting: Create and maintain comprehensive network architecture documentation, including network diagrams, configurations, and change logs. Provide regular reports to leadership on the status of network infrastructure, issues, and improvements Skills Strong problem-solving skills with a focus on scalability, performance, and reliability. Excellent written and verbal communication skills with the ability to explain complex technical concepts to non-technical stakeholders. Working in agile / Scrum / Kanban environment Practiced Agile Development and knowledge of Tools such as Confluence/JIRA Ability to collaborate effectively in cross-functional teams and drive projects to completion. Proactive, detail-oriented, and able to manage multiple projects in a fast-paced environment. Passion for staying up-to-date with the latest trends in cloud technology and networking

What You'll Do. We are looking for experienced Machine Learning Engineers with a background in software development and a deep enthusiasm for solving complex problems. You will lead a dynamic team dedicated to designing and implementing a large language model framework to power diverse applications across Avalara. Your responsibilities will span the entire development lifecycle, including conceptualization, prototyping and delivery of the LLM platform features. You will build core agent infrastructure—A2A orchestration and MCP-driven tool discovery—so teams can launch secure, scalable agent workflows. You will be reporting to Senior Manager, Machine Learning. What Your Responsibilities Will Be. We are looking for engineers who can think quick and have a background in implementation. Your responsibilities will include:. Build on top of the foundational framework for supporting Large Language Model Applications at Avalara. Experience with LLMs like GPT, Claude, LLama and other Bedrock models. Leverage best practices in software development, including Continuous Integration/Continuous Deployment (CI/CD) along with appropriate functional and unit testing in place.. Promote innovation by researching and applying the latest technologies and methodologies in machine learning and software development.. Write, review, and maintain high-quality code that meets industry standards, contributing to the project's.. Lead code review sessions, ensuring good code quality and documentation.. Mentor junior engineers, encouraging a culture of collaboration. Proficiency in developing and debugging software with a preference for Python, though familiarity with additional programming languages is valued and encouraged.. What You’ll Need To Be Successful. 6+ years of experience building Machine Learning models and deploying them in production environments as part of creating solutions to complex customer problems.. Proficiency working in cloud computing environments (AWS, Azure, GCP), Machine Learning frameworks, and software development best practices.. Experience working with technological innovations in AI & ML(esp. GenAI) and apply them.. Experience with design patterns and data structures.. Good analytical, design and debugging skills.. Technologies You Will Work With. Python, LLMs, Agents, A2A, MCP, MLFlow, Docker, Kubernetes, Terraform, AWS, GitLab, Postgres, Prometheus, and Grafana. We are the AI & ML enablement group in Avalara.. This is a remote position.. How We’ll Take Care Of You. Total Rewards. In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.. Health & Wellness. Benefits vary by location but generally include private medical, life, and disability insurance.. Inclusive culture and diversity. Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.. What You Need To Know About Avalara. We’re Avalara. We’re defining the relationship between tax and tech.. We’ve already built an industry-leading cloud compliance platform, processing nearly 40 billion customer API calls and over 5 million tax returns a year, and this year we became a billion-dollar business. Our growth is real, and we’re not slowing down until we’ve achieved our mission to be part of every transaction in the world.. We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. Ownership and achievement go hand in hand here. We instill passion in our people through the trust we place in them.. We’ve been different from day one. Join us, and your career will be too.. We’re An Equal Opportunity Employer. Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.. Show more Show less

We are looking for a Java Lead to design the structure of our IT systems and oversee programs to ensure the proper architecture is implemented.. In this role, you should be an excellent communicator who is able to translate complex requirements into functional architecture. We’d also like you to have hands-on experience on software development and be able to manage complex programs.. Responsibilities. 11+ years of experience in Java Development.. Understand company needs to define system specifications. Plan and design the structure of a technology solution. Communicate system requirements to software development teams. Evaluate and select appropriate software or hardware and suggest integration methods. Oversee assigned programs (e.g. conduct code review) and provide guidance to team members. Assist with solving technical problems when they arise. Ensure the implementation of agreed architecture and infrastructure. Address technical concerns, ideas and suggestions. Monitor systems to ensure they meet both user needs and business goals. Good knowledge of requirement understanding.. Mandatory Skillset: Resource should be proficient with Microservices Architecture & Cloud Native.. APPLY NOW. Show more Show less

What You'll Do. We are looking for accomplished Machine Learning Engineers with a background in software development and a deep enthusiasm for solving complex problems. You will lead a dynamic team dedicated to designing and implementing a large language model framework to power diverse applications across Avalara. Your responsibilities will span the entire development lifecycle, including conceptualization, prototyping, development, and delivery of the LLM platform features. You will build core agent infrastructure—A2A orchestration and MCP-driven tool discovery—so teams can launch secure, scalable agent workflows. You will be reporting to Senior Manager, ML Engineering.. What Your Responsibilities Will Be. We are looking for engineers who can think quick and have a background in implementation. Your responsibilities will include:. Build on top of the foundational framework for supporting Large Language Model Applications at Avalara. Experience with LLMs like GPT, Claude, LLama and other Bedrock models. Leverage best practices in software development, including Continuous Integration/Continuous Deployment (CI/CD) along with appropriate functional and unit testing in place.. Drive innovation by researching and applying the latest technologies and methodologies in machine learning and software development.. Write, review, and maintain high-quality code that meets industry standards, contributing to the project's technical expertise.. Lead code review sessions, ensuring good code quality and documentation.. Mentor junior engineers, promoting a culture of collaboration and Engineering expertise.. Proficiency in developing and debugging software with a preference for Python, though familiarity with additional programming languages is valued and encouraged.. What You’ll Need To Be Successful. 6+ years of experience building Machine Learning models and deploying them in production environments as part of creating solutions to complex customer problems.. Proficiency working in cloud computing environments (AWS, Azure, GCP), Machine Learning frameworks, and software development best practices.. Demonstrated experience staying current with breakthroughs in AI/ML, with a focus on GenAI.. Experience with design patterns and data structures.. Technologies You Will Work With. Python, LLMs, Agents, A2A, MCP, MLFlow, Docker, Kubernetes, Terraform, AWS, GitLab, Postgres, Prometheus, and Grafana. We are the AI & ML enablement group in Avalara.. We empower Avalara's Product and Engineering teams with the latest AI & ML capabilities, driving easy-to-use, automated compliance solutions that position Avalara as the industry AI technology leader and the go-to choice for all compliance needs.. This is a remote position.. How We’ll Take Care Of You. Total Rewards. In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.. Health & Wellness. Benefits vary by location but generally include private medical, life, and disability insurance.. Inclusive culture and diversity. Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.. What You Need To Know About Avalara. We’re Avalara. We’re defining the relationship between tax and tech.. We’ve already built an industry-leading cloud compliance platform, processing nearly 40 billion customer API calls and over 5 million tax returns a year, and this year we became a billion-dollar business. Our growth is real, and we’re not slowing down until we’ve achieved our mission to be part of every transaction in the world.. We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. Ownership and achievement go hand in hand here. We instill passion in our people through the trust we place in them.. We’ve been different from day one. Join us, and your career will be too.. We’re An Equal Opportunity Employer. Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.. Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India; Gurugram, Haryana, India.Minimum qualifications:. Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.. 3 years of experience in building Machine Learning or Data Science solutions.. Experience in Python, Scala, R, or related, with data structures, algorithms, and software design.. Ability to travel up to 30% of the time as needed.. Preferred qualifications:. Experience with recommendation engines, data pipelines, or distributed machine learning with data analytics, data visualization techniques and software, and deep learning frameworks.. Experience in software development, professional services, solution engineering, technical consulting with architecting and rolling out new technology and solution initiatives.. Experience with Data Science techniques.. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, and Load/Extract, Load and Transform (ETL/ELT) and reporting tools and environments.. Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.. Excellent communication skills.. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.. In this role, you will play a role in ensuring that customers have the best experience moving to the Google Cloud machine learning (ML) suite of products. You will design and implement machine learning solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with machine learning, and will travel to customer sites to deploy solutions and deliver workshops designed to educate and empower customers to realize the potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product code, and address customer and partner needs.You will lead the execution of adopting the Google Cloud Platform solutions to the customer’s requirements.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.. Responsibilities. Deliver big data and machine learning solutions and solve technical customer tests.. Act as a trusted technical advisor to Google’s customers.. Identify new product features and feature gaps, provide guidance on existing product tests, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.. Deliver recommendations, tutorials, blog articles, and technical presentations adapting to different levels of business and technical stakeholders.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

Job Summary. Hands-on experience in defining data migration strategy, governance and data modelling Developed data platform accelerators and automation tool for data validation and dashboarding in Databricks Hands-on in ideating, designing and developing AI solutions in Azure cloud platform – Azure AI Search, Knowledge Mining, Generative AI OpenAI services. Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India; Gurugram, Haryana, India.Minimum qualifications:. Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.. 3 years of experience in building Machine Learning or Data Science solutions.. Experience in Python, Scala, R, or related, with data structures, algorithms, and software design.. Ability to travel up to 30% of the time as needed.. Preferred qualifications:. Experience with recommendation engines, data pipelines, or distributed machine learning with data analytics, data visualization techniques and software, and deep learning frameworks.. Experience in software development, professional services, solution engineering, technical consulting with architecting and rolling out new technology and solution initiatives.. Experience with Data Science techniques.. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, and Load/Extract, Load and Transform (ETL/ELT) and reporting tools and environments.. Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.. Excellent communication skills.. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.. In this role, you will play a role in ensuring that customers have the best experience moving to the Google Cloud machine learning (ML) suite of products. You will design and implement machine learning solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with machine learning, and will travel to customer sites to deploy solutions and deliver workshops designed to educate and empower customers to realize the potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product code, and address customer and partner needs.You will lead the execution of adopting the Google Cloud Platform solutions to the customer’s requirements.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.. Responsibilities. Deliver big data and machine learning solutions and solve technical customer tests.. Act as a trusted technical advisor to Google’s customers.. Identify new product features and feature gaps, provide guidance on existing product tests, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.. Deliver recommendations, tutorials, blog articles, and technical presentations adapting to different levels of business and technical stakeholders.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurugram, Haryana, India; Bengaluru, Karnataka, India; Hyderabad, Telangana, India.Minimum qualifications:. Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.. Experience building Machine Learning or Data Science solutions.. Experience writing software in Python, Scala, R, or similar.. Experience with data structures, algorithms, and software design.. Ability to travel up to 30% of the time.. Preferred qualifications:. Experience working with recommendation engines, data pipelines, or distributed machine learning, data analytics, data visualization techniques and software, and deep learning frameworks.. Experience in software development, professional services, solution engineering, technical consulting, architecting and rolling out new technology and solution initiatives.. Experience with core Data Science techniques.. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments.. Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.. Excellent customer-facing communication and listening skills.. About The Job. The Google Cloud Platform team helps customers transform and build what's next for their business, all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers, developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.. As a Cloud Engineer, you will play a key role in ensuring that customers have the best experience moving to the Google Cloud machine learning (ML) suite of products. You will design and implement machine learning solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with machine learning, and will travel to customer sites to deploy solutions and deliver workshops designed to educate and empower customers to realize the full potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product code, and address customer and partner needs. In this role, you will lead the timely execution of adopting the Google Cloud Platform solutions to the customer’s requirements.. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.. Responsibilities. Deliver effective big data and machine learning solutions and solve technical customer issues.. Act as a technical advisor to Google’s customers.. Identify new product features and feature gaps, provide guidance on existing product issues, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.. Deliver best practice recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical stakeholders.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

Job TitleIT Security Lead. Position typeFull Time. Work LocationGurgaon, India preferred. Working styleHybrid. Cab FacilityYes. Shift Time 12:30-9:30 and as needed. People Manager role: No. Required Education And Certifications Critical For The Role-. Required years of experience -. 3-5 years of relevant experience. AON IS IN THE BUSINESS OF BETTER DECISIONS. At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.. As an organization, we are committed as one firm to our purpose, united through trust as one inclusive, diverse team and we are passionate about helping our colleagues and clients succeed.. Information About The Business. GENERAL DESCRIPTION OF ROLE:. The MetricStream Developer Lead role is responsible for supporting MetricStream, which is Aon's Governance Risk and Compliance (GRC) platform. In this position, you will configure the MetricStream platform to meet requirements, manage a backlog of open tickets, and ensure all delivered areas of functionality are working as expected. You will be responsible for new feature configuration, as well as supporting and troubleshooting existing configuration. In this role, you will work closely with project teams and act as the main point of contact for any MetricStream platform issues or technical questions. The role requires collaboration with the vendor, teams within Aon and Aon leadership. Must have experience with implementing SaaS platforms, working in a DEV environment, global team environment. This is a lead role and will oversee activities of two other roles and will report out on activities to leadership.. JOB RESPONSIBILITIES (List 6-10 Major Responsibilities In The Role). Create and maintain reports, charts, and dashboards. Configure user access roles and permissions. Configure updates to forms, including adding/updating fields and modifying business rules. Create and maintain workflows. Package and deploy configuration between environments. Ensure platform configuration works as expected by writing and executing unit tests and regression tests. Documenting: Documenting every aspect of an application or system as a reference for future maintenance and upgrades. Collaborating: Collaborating with other developers and other professionals. Analyzing user needs: Understanding the needs of clients and users. Recommending changes: Recommending software changes for customers' existing programs and systems. Oversee two other developer roles and ensure they are on track and timely with deliverables. Communication to leadership frequently on tasks and initiatives. SKILLS/COMPETENCIES REQUIRED (List 4-8 skills required to get the job done):. Leadership skills: management of tasks and overseeing others work. Organization, attention to detail. Communication skills. Metrics and reporting. Writing JavaScript functions. Writing XML scripts. Writing complex SQL queries. Experience with data transformation utilizing one or many of the following:. SQL. Java. Shell script. Stored procedures. How We Support Our Colleagues. In addition to our comprehensive benefits package, we are proud to be an equal opportunity workforce. At Aon, we believe a diverse workforce is an innovative workforce. Our agile, inclusive environment allows colleagues to manage their wellbeing and work/life balance while empowering you to be your authentic self.. Furthermore, all colleagues enjoy two “Global Wellbeing Days” each year, encouraging them to take time to focus on themselves. We offer a variety of workstyle options through our Smart Working model, but we also recognize that flexibility goes beyond just the place of work... and we are all for it!. Our continuous learning culture inspires and equips colleagues to learn, share and grow, helping them achieve their fullest potential. As a result, Aon colleagues are more connected, more relevant and more valued.. 2546206. Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurugram, Haryana, India; Bengaluru, Karnataka, India; Hyderabad, Telangana, India.Minimum qualifications:. Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.. Experience building Machine Learning or Data Science solutions.. Experience writing software in Python, Scala, R, or similar.. Experience with data structures, algorithms, and software design.. Ability to travel up to 30% of the time.. Preferred qualifications:. Experience working with recommendation engines, data pipelines, or distributed machine learning, data analytics, data visualization techniques and software, and deep learning frameworks.. Experience in software development, professional services, solution engineering, technical consulting, architecting and rolling out new technology and solution initiatives.. Experience with core Data Science techniques.. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments.. Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.. Excellent customer-facing communication and listening skills.. About The Job. The Google Cloud Platform team helps customers transform and build what's next for their business, all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers, developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.. As a Cloud Engineer, you will play a key role in ensuring that customers have the best experience moving to the Google Cloud machine learning (ML) suite of products. You will design and implement machine learning solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with machine learning, and will travel to customer sites to deploy solutions and deliver workshops designed to educate and empower customers to realize the full potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product code, and address customer and partner needs. In this role, you will lead the timely execution of adopting the Google Cloud Platform solutions to the customer’s requirements.. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.. Responsibilities. Deliver effective big data and machine learning solutions and solve technical customer issues.. Act as a technical advisor to Google’s customers.. Identify new product features and feature gaps, provide guidance on existing product issues, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.. Deliver best practice recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical stakeholders.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

Job Description. We are seeking a highly skilled and motivated Cloud Data Engineer with a strong background in computer science or statistics, coupled with at least 5 years of professional experience. The ideal candidate will possess a deep understanding of cloud computing, particularly in AWS, and should have a proven track record in data engineering, Big Data applications, and AI/ML applications.. Responsibilities. Cloud Expertise:. Proficient in AWS services such as EC2, VPC, Lambda, DynamoDB, API Gateway, EBS, S3, IAM, and more.. Design, implement, and maintain scalable cloud-based solutions.. Execute efficient and secure cloud infrastructure configurations.. Data Engineering:. Develop, construct, test, and maintain architectures, such as databases and processing systems.. Utilize coding skills in Spark and Python for data processing and manipulation.. Administer multiple ETL applications to ensure seamless data flow.. Big Data Applications:. Work on end-to-end Big Data application projects, from conception to deployment.. Optimize and troubleshoot Big Data solutions to ensure high performance.. AI/ML Applications:. Experience in developing and deploying AI/ML applications based on NLP, CV, and GenAI.. Collaborate with data scientists to implement machine learning models into production environments.. DevOps and Infrastructure as a Service (IaaS):. Possess knowledge and experience with DevOps applications for continuous integration and deployment.. Set up and maintain infrastructure as a service, ensuring scalability and reliability.. Qualifications. Bachelor’s degree in computer science, Statistics, or a related field.. 5+ years of professional experience in cloud computing, data engineering, and related fields.. Proven expertise in AWS services, with a focus on EC2, VPC, Lambda, DynamoDB, API Gateway, EBS, S3, IAM, etc.. Proficient coding skills in Spark and Python for data processing.. Hands-on experience with Big Data application projects.. Experience in AI/ML applications, particularly in NLP, CV, and GenAI.. Administration experience with multiple ETL applications.. Knowledge and experience with DevOps tools and processes.. Ability to set up and maintain infrastructure as a service.. Soft Skills. Strong analytical and problem-solving skills.. Excellent communication and collaboration abilities.. Ability to work effectively in a fast-paced and dynamic team environment.. Proactive mindset with a commitment to continuous learning and improvement.. Show more Show less