
Cloud Solution Architect _Resource ML, Cloud, Python,
at Client Located in Bangalore Location
Job Description-
We are seeking a highly skilled Solution Architect to join our dynamic team in Tokyo. The ideal candidate will have substantial experience in designing, implementing, and deploying cutting-edge solutions involving Machine Learning (ML), Cloud Computing, Full Stack Development, and Kubernetes. The Solution Architect will play a key role in architecting and delivering innovative solutions that meet business objectives while leveraging advanced technologies and industry best practices.
Job Title: Solution Architect ML, Cloud
Experience:5-10 years
Client Location: Bangalore
Work Location: Tokyo, Japan (Onsite)
We are seeking a highly skilled Solution Architect to join our dynamic team in Tokyo. The ideal candidate will have substantial experience in designing, implementing, and deploying cutting-edge solutions involving Machine Learning (ML), Cloud Computing, Full Stack Development, and Kubernetes. The Solution Architect will play a key role in architecting and delivering innovative solutions that meet business objectives while leveraging advanced technologies and industry best practices.
Job Title: Solution Architect (ML, Cloud)
Location: Tokyo, Japan (Onsite)
Experience: 5-10 years
Overview: We are looking for a skilled Solution Architect with expertise in Machine Learning (ML), Cloud Computing, Full Stack Development, and Kubernetes to join our team in Tokyo. The ideal candidate will be responsible for designing and implementing cutting-edge, scalable solutions while leveraging the latest technologies and best practices to meet business objectives.
Key Responsibilities:
Collaborate with stakeholders to understand business needs and develop scalable, efficient technical solutions.
Architect and implement complex systems integrating Machine Learning, Cloud platforms (AWS, Azure, Google Cloud), and Full Stack Development.
Lead the development and deployment of cloud-native applications using NoSQL databases, Python, and Kubernetes.
Design and optimize algorithms to improve performance, scalability, and reliability of solutions.
Review, validate, and refine architecture to ensure flexibility, scalability, and cost-efficiency.
Mentor development teams and ensure adherence to best practices for coding, testing, and deployment.
Contribute to the development of technical documentation and solution roadmaps.
Stay up-to-date with emerging technologies and continuously improve solution design processes.
Required Skills & Qualifications:
5-10 years of experience as a Solution Architect or similar role with expertise in ML, Cloud, and Full Stack Development.
Proficiency in at least two major cloud platforms (AWS, Azure, Google Cloud).
Solid experience with Kubernetes for container orchestration and deployment.
Hands-on experience with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB).
Expertise in Python and ML frameworks like TensorFlow, PyTorch, etc.
Practical experience implementing at least two real-world algorithms (e.g., classification, clustering, recommendation systems).
Strong knowledge of scalable architecture design and cloud-native application development.
Familiarity with CI/CD tools and DevOps practices.
Excellent problem-solving abilities and the ability to thrive in a fast-paced environment.
Strong communication and collaboration skills with cross-functional teams.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Preferred Qualifications:
Experience with microservices and containerization.
Knowledge of distributed systems and high-performance computing.
Cloud certifications (AWS Certified Solutions Architect, Google Cloud Professional Architect, etc.).
Familiarity with Agile methodologies and Scrum.
Japanese language proficiency is an added advantage (but not mandatory).
Skills : ML, Cloud (any two major clouds), algorithms (two algorithms must be implemented), full stack, kubernatics, no sql, Python
Responsibilities:
- Collaborate with stakeholders to understand business needs and translate them into scalable and efficient technical solutions.
- Design and implement complex systems involving Machine Learning, Cloud Computing (at least two major clouds such as AWS, Azure, or Google Cloud), and Full Stack Development.
- Lead the design, development, and deployment of cloud-native applications with a focus on NoSQL databases, Python, and Kubernetes.
- Implement algorithms and provide scalable solutions, with a focus on performance optimization and system reliability.
- Review, validate, and improve architectures to ensure high scalability, flexibility, and cost-efficiency in cloud environments.
- Guide and mentor development teams, ensuring best practices are followed in coding, testing, and deployment.
- Contribute to the development of technical documentation and roadmaps.
- Stay up-to-date with emerging technologies and propose enhancements to the solution design process.
Key Skills & Requirements:
- Proven experience 5-10 years) as a Solution Architect or similar role, with deep expertise in Machine Learning, Cloud Architecture, and Full Stack Development.
- Expertise in at least two major cloud platforms (AWS, Azure, Google Cloud).
- Solid experience with Kubernetes for container orchestration and deployment.
- Strong hands-on experience with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB, etc.).
- Proficiency in Python, including experience with ML frameworks (such as TensorFlow, PyTorch, etc.) and libraries for algorithm development.
- Must have implemented at least two algorithms (e.g., classification, clustering, recommendation systems, etc.) in real-world applications.
- Strong experience in designing scalable architectures and applications from the ground up.
- Experience with DevOps and automation tools for CI/CD pipelines.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
- Strong communication skills and ability to collaborate with cross-functional teams.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Preferred Skills:
- Experience with microservices architecture and containerization.
- Knowledge of distributed systems and high-performance computing.
- Certifications in cloud platforms (AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect, etc.).
- Familiarity with Agile methodologies and Scrum.
- Knowing Japanese Language is an additional advantage for the Candidate. Not mandatory.

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- Manage a team of IT administrators, providing guidance, support, and mentorship to ensure their professional growth and development.
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- Good knowledge of Linux Ubuntu.
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Job Overview:
You will work in engineering and development teams to integrate and develop cloud solutions and virtualized deployment of software as a service product. This will require understanding the software system architecture function as well as performance and security requirements. The DevOps Engineer is also expected to have expertise in available cloud solutions and services, administration of virtual machine clusters, performance tuning and configuration of cloud computing resources, the configuration of security, scripting and automation of monitoring functions. This position requires the deployment and management of multiple virtual clusters and working with compliance organizations to support security audits. The design and selection of cloud computing solutions that are reliable, robust, extensible, and easy to migrate are also important.
Experience:
- Experience working on billing and budgets for a GCP project - MUST
- Experience working on optimizations on GCP based on vendor recommendations - NICE TO HAVE
- Experience in implementing the recommendations on GCP
- Architect Certifications on GCP - MUST
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Basic Qualifications:
- Bachelor’s/Master’s Degree in Engineering OR Equivalent.
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- Extensive experience working with CI/CD (e.g. Jenkins).
- Extensive experience working with GCP, Azure, or Cloud Foundry.
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Benefits :
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- Work from anywhere.
- Learning and gaining experience rapidly.
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Remote - work from anywhere.
Ideal joining preferences:
Immediate or 15 days
Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.
Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’ s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.
JD:
Lead the pre-sales (25%) to post-sales (75%) efforts building Public/Hybrid Cloud solutions working collaboratively with Intuitive and client technical and business stakeholders
Be a customer advocate with obsession for excellence delivering measurable success for Intuitive’s customers with secure, scalable, highly available cloud architecture that leverage AWS Cloud services
Experience in analyzing customer's business and technical requirements, assessing existing environment for Cloud enablement, advising on Cloud models, technologies, and risk management strategies
Apply creative thinking/approach to determine technical solutions that further business goals and align with corporate technology strategies
Extensive experience building Well Architected solutions in-line with AWS cloud adoption framework (DevOps/DevSecOps, Database/Data Warehouse/Data Lake, App Modernization/Containers, Security, Governance, Risk, Compliance, Cost Management and Operational Excellence)
Experience with application discovery prefera bly with tools like Cloudscape, to discover application configurations , databases, filesystems, and application dependencies
Experience with Well Architected Review, Cloud Readiness Assessments and defining migration patterns (MRA/MRP) for application migration e.g. Re-host, Re-platform, Re-architect etc
Experience in architecting and deploying AWS Landing Zone architecture with CI/CD pipeline
Experience on architecture, design of AWS cloud services to address scalability, performance, HA, security, availability, compliance, backup and DR, automation, alerting and monitoring and cost
Hands-on experience in migrating applications to AWS leveraging proven tools and processes including migration, implementation, cutover and rollback plans and execution
Hands-on experience in deploying various AWS services e.g. EC2, S3, VPC, RDS, Security Groups etc. using either manual or IaC, IaC is preferred
Hands-on Experience in writing cloud automation scripts/code such as Ansible, Terraform, CloudFormation Template (AWS CFT) etc.
Hands-on Experience with application build/release processes CI/CD pipelines
Deep understanding of Agile processes (planning/stand-ups/retros etc), and interact with cross-functional teams i.e. Development, Infrastructure, Security, Performance Engineering, and QA
Additional Requirements:
Work with Technology leadership to grow the Cloud & DevOps practice. Create cloud practice collateral
Work directly with sales teams to improve and help them drive the sales for Cloud & DevOps practice
Assist Sales and Marketing team in creating sales and marketing collateral
Write whitepapers and technology blogs to be published on social media and Intuitive website
Create case studies for projects successfully executed by Intuitive delivery team
Conduct sales enablement sessions to coach sales team on new offerings
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Flexibility with Travel as required for Pre-sales/Post-sales, Design workshops, War-room Migration events and customer meetings
Strong passion for modern technology exploration and development
Excellent written, verbal communication skills, presentation, and collaboration skills - Team leadership skills
Experience with Multi-cloud (Azure, GCP, OCI) is a big plus
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● Should have experience in building scalable server-side systems
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● Having experience with NodeJS/TypeScript/AWS is a bonus
● Having experience with WebRTC is a bonus
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processes - Testing and examining code written by others and analyzing results
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threats - Identifying technical problems and developing software updates and ‘fixes’
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- BE / MCA / B.Sc-IT / B.Tech in Computer Science or a related field.
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- Working knowledge of databases and SQL
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Engineering Leader, Cloud Infrastructure.
Bengaluru, Karnataka, India
Do you thrive on solving complex technical problems? Do you want to be at the cutting edge of technology? If so,we’re interested in speaking with you!
Your Impact:
We’re looking for a seasoned engineering leader in the Cloud team that is responsible for building, operating, and maintaining a customer-facing DBaaS service in multiple public clouds (AWS, GCP, and Azure). The service supports unified multiverse management of YugabyteDB, including fault-domain aware provisioning, rolling upgrades, security,
networking, monitoring, and day-2 operations (backups, scaling, billing etc). If you’re a strong leader who exemplifies collaboration, who is driven and thrive in a fast-paced startup environment, and who has a strong desire to build an internet-scale, extensible cloud based service with strong emphasis on simplicity and user experience, this job is for
you.
You Will:
Lead, inspire, and influence to make sure your team is successful
Partner with the recruiting team to attract and retain high-quality and diverse talent
Establish great rapport with other development teams, Product Managers, Sales and Customer Success tomaintain high levels of visibility, efficiency, and collaboration
Ensure teams have appropriate technical direction, leadership and balance between short-term impact andlong term architectural vision.
Occasionally contributing to development tasks such as coding and feature verifications to assist teamswith release commitments, to gain an understanding of the deeply technical product as well as to keepyour technical acumen sharp.
You'll need:
BS/MS degree in CS-or- a related field with 5+ years of engineering management experience leading productive, high-functioning teams
Strong fundamentals in distributed systems design and development
Ability to hire while ensuring a high hiring bar, keep engineers motivated, coach/mentor, and handle performance management
Experience running production services in Public Clouds such as AWS, GCP, and Azure
Experience with running large stateful data systems in the Cloud
Prior knowledge of Cloud architecture and implementation features (multi-tenancy, containerization,orchestration, elastic scalability)
A great track record of shipping features and hitting deadlines consistently; should be able to move fast,build in increments and iterate; have a sense of urgency, aggressive mindset towards achieving results and excellent prioritization skills; able to anticipate future technical needs for the product and craft plans to realize them
Ability to influence the team, peers, and upper management using effective communication and collaborative techniques; focused on building and maintaining a culture of collaboration within the team.
Numerator is a data and technology company reinventing market research. Headquartered in Chicago, IL, Numerator has 1,600 employees worldwide. The company blends proprietary data with advanced technology to create unique insights for the market research industry that has been slow to change. The majority of Fortune 100 companies are Numerator clients.
Job Description
What We Do and How?
We are a market research company, revolutionizing how it's done! We mix fast paced development and unique approaches to bring best practices and strategy to our technology. Our tech stack is deep, leveraging several languages and frameworks including Python, C#, Java, Kotlin, React, Angular, and Django among others. Our engineering hurdles sit at the intersection of technologies ranging from mobile, computer vision and crowdsourcing, to machine learning and big data analytics.
Our Team
From San Francisco to Chicago to Ottawa, our R&D team is comprised of talented individuals spanning across a robust tech stack. The R&D team is comprised of product, data analytics, engineers across Front End, Back End, DevOps, Business Intelligence, ETL, Data Science, Mobile Apps, and much more. Across these different groups we work towards one common goal: To build products into efficient and seamless user experiences that help our clients succeed.
Numerator is looking for a Infrastructure Engineer to join our growing team. This is a unique opportunity where you will get a chance to work with an established and rapidly evolving platforms that handles millions of requests and massive amounts of data. In this position, you will be responsible for taking on new initiatives to automate, enhance, maintain, and scale services in a rapidly-scaling SaaS environment.
As a member of our team, you will make an immediate impact as you help build out and expand our technology platforms across several software products. This is a fast-paced role with high growth, visibility, impact, and where many of the decisions for new projects will be driven by you and your team from inception through production.
Some of the technologies we frequently use include: Terraform, Ansible, SumoLogic, Kubernetes, and many AWS-native services.
• Develop and test the cloud infrastructure to scale a rapidly growing ecosystem.
• Monitor and improve DevOps tools and processes, automate mundane tasks, and improve system reliability.
• Provide deep expertise to help steer scalability and stability improvements early in the life-cycle of development while working with the rest of the team to automate existing processes that deploy, test, and lead our production environments.
• Train teams to improve self-healing and self-service cloud-based ecosystems in an evolving AWS infrastructure.
• Build internal tools to demonstrate performance and operational efficiency.
• Develop comprehensive monitoring solutions to provide full visibility to the different platform components using tools and services like Kubernetes, Sumologic, Prometheus, Grafana.
• Identify and troubleshoot any availability and performance issues at multiple layers of deployment, from hardware, operating environment, network, and application.
• Work cross-functionally with various teams to improve Numerator’s infrastructure through automation.
• Work with other teams to assist with issue resolutions related to application configuration, deployment, or debugging.
• Lead by example and evangelize DevOps best practice within other engineering teams at Numerator.
Skills & Requirements
What you bring
• A minimum of 3 years of work experience in backend software, DevOps, or a related field.
• A passion for software engineering, automation and operations and are excited about reliability, availability and performance.
• Availability to participate in after-hours on-call support with your fellow engineers.
• Strong analytical and problem-solving mindset combined with experience troubleshooting large scale systems.
• Fundamental knowledge in networking; operating systems; package build system (IP subnets and routing, ACL’s, Core Ubuntu, PIP and NPM).
• Experience with automation technologies to build, deploy and integrate both infrastructure and applications (e.g., Terraform, Ansible).
• Experience using scripting languages like Python and *nix tools (Bash, sed/awk, Make).
• You enjoy developing and managing real-time distributed platforms and services that scale billions of requests.
• Have the ability to manage multiple systems across stratified environments.
• A deep enthusiasm for the Cloud and DevOps and keen to get other people involved.
• Experience with scaling and operationalizing distributed data stores, file systems and services.
• Running services in AWS or other cloud platforms, strong experience with Linux systems.
• Experience in modern software paradigms including cloud applications and serverless architectures.
• You look ahead to identify opportunities and foster a culture of innovation.
• BS, MS or Ph.D. in Computer Science or a related field, or equivalent work experience.
Nice to haves
• Previous experience working with a geographically distributed software engineering team.
• Experience working with Jenkins or Circle-CI
• Experience with storage optimizations and management
• Solid understanding of building scalable, highly performant systems and services
• Expertise with big data, analytics, machine learning, and personalization.
• Start-up or CPG industry experience
If this sounds like something you would like to be part of, we’d love for you to apply! Don't worry if you think that you don't meet all the qualifications here. The tools, technology, and methodologies we use are constantly changing and we value talent and interest over specific experience.
Disclaimer: We do not charge any fee for employment and the same applies to the Recruitment Partners who we work with. Numerator is an equal opportunity employer. Employment decisions are based on merit. Additionally, we do not ask for any refundable security deposit to be paid in bank accounts for employment purposes. We request candidates to be cautious of misleading communications and not pay any fee/ deposit to individuals/ agencies/ employment portals on the pretext of attending Numerator interview process or seeking employment with us. These would be fraudulent in nature. Anyone dealing with such individuals/agencies/
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Job Brief:
We are looking for candidates that have experience in development and have performed CI/CD based projects. Should have a good hands-on Jenkins Master-Slave architecture, used AWS native services like CodeCommit, CodeBuild, CodeDeploy and CodePipeline. Should have experience in setting up cross platform CI/CD pipelines which can be across different cloud platforms or on-premise and cloud platform.
Job Location:
Pune.
Job Description:
- Hands on with AWS (Amazon Web Services) Cloud with DevOps services and CloudFormation.
- Experience interacting with customer.
- Excellent communication.
- Hands-on in creating and managing Jenkins job, Groovy scripting.
- Experience in setting up Cloud Agnostic and Cloud Native CI/CD Pipelines.
- Experience in Maven.
- Experience in scripting languages like Bash, Powershell, Python.
- Experience in automation tools like Terraform, Ansible, Chef, Puppet.
- Excellent troubleshooting skills.
- Experience in Docker and Kuberneties with creating docker files.
- Hands on with version control systems like GitHub, Gitlab, TFS, BitBucket, etc.
We are looking for a full-time remote DevOps Engineer who has worked with CI/CD automation, big data pipelines and Cloud Infrastructure, to solve complex technical challenges at scale that will reshape the healthcare industry for generations. You will get the opportunity to be involved in the latest tech in big data engineering, novel machine learning pipelines and highly scalable backend development. The successful candidates will be working in a team of highly skilled and experienced developers, data scientists and CTO.
Job Requirements
- Experience deploying, automating, maintaining, and improving complex services and pipelines • Strong understanding of DevOps tools/process/methodologies
- Experience with AWS Cloud Formation and AWS CLI is essential
- The ability to work to project deadlines efficiently and with minimum guidance
- A positive attitude and enjoys working within a global distributed team
Skills
- Highly proficient working with CI/CD and automating infrastructure provisioning
- Deep understanding of AWS Cloud platform and hands on experience setting up and maintaining with large scale implementations
- Experience with JavaScript/TypeScript, Node, Python and Bash/Shell Scripting
- Hands on experience with Docker and container orchestration
- Experience setting up and maintaining big data pipelines, Serverless stacks and containers infrastructure
- An interest in healthcare and medical sectors
- Technical degree with 4 plus years’ infrastructure and automation experience


DevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery

