Azure DevOps Consultant

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.

Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.

Excellent communication skills

Open to work on EST time zone(6pm to 3am)

Technical Skills: 

·        In depth understanding of DevSecOps process and governance 

·        Understanding of various branching strategies 

·        Hands on experience working with various testing and scanning tools (ex. SonarQube, Snyk, Blackduck, etc.) 

·        Expertise working with one or more CICD platforms (ex. Azure DevOps, GitLab, GitHub Actions, etc) 

·        Expertise within one CSP and experience/working knowledge of a second CSP (Azure, AWS, GCP) 

·        Proficient with Terraform 

·        Hands on experience working with Kubernetes 

·        Proficient working with GIT version control 

·        Hands on experience working with monitoring/observability tool(s) (Splunk, Data Dog, Dynatrace, etc) 

·        Hands on experience working with Configuration Management platform(s) (Chef, Saltstack, Ansible, etc) 

·        Hands on experience with GitOps 

Job Responsibilities:

Work & Deploy updates and fixes Provide Level 2 technical support Support implementation of fully automated CI/CD pipelines as per dev requirement Follow the escalation process through issue completion, including providing documentation after resolution Follow regular Operations procedures and complete all assigned tasks during the shift. Assist in root cause analysis of production issues and help write a report which includes details about the failure, the relevant log entries, and likely root cause Setup of CICD frameworks (Jenkins / Azure DevOps Server), Containerization using Docker, etc Implement continuous testing, Code Quality, Security using DevOps tooling Build a knowledge base by creating and updating documentation for support

Skills Required:

DevOps, Linux, AWS, Ansible, Jenkins, GIT, Terraform, CI, CD, Cloudformation, Typescript

• Candidate should be able to write the sample programs using the Tools (Bash, PowerShell, Python or Shell scripting)
• Analytical/logical reasoning
• GitHub Actions
• Should have good working experience with GitHub Actions
• Repository/Workflow Dispatch, writing reusable workflows, etc
• AZ CLI commands
• Hands-on experience with AZ CLI commands

Key Responsibilities

• As a part of the DevOps team, you will be responsible for the configuration, optimization, documentation, and support of the CI/CD components.

• Creating and managing build and release pipelines with Azure DevOps and Jenkins.

• Assist in planning and reviewing application architecture and design to promote an efficient deployment process.

• Troubleshoot server performance issues & handle the continuous integration system.

• Automate infrastructure provisioning using ARM Templates and Terraform.

• Monitor and Support deployment, Cloud-based and On-premises Infrastructure.

• Diagnose and develop root-cause solutions for failures and performance issues in the production environment.

• Deploy and manage Infrastructure for production applications

• Configure security best practices for application and infrastructure

Essential Requirements

• Good hands-on experience with cloud platforms like Azure, AWS & GCP. (Preferably Azure)

• Strong knowledge of CI/CD principles.

• Strong work experience with CI/CD implementation tools like Azure DevOps, Team City, Octopus Deploy, AWS Code Deploy, and Jenkins.

• Experience of writing automation scripts with PowerShell, Bash, Python, etc.

• GitHub, JIRA, Confluence, and Continuous Integration (CI) system.

• Understanding of secure DevOps practices

Good to Have -

•Knowledge of scripting languages such as PowerShell, Bash

• Experience with project management and workflow tools such as Agile, Jira, Scrum/Kanban, etc.

• Experience with Build technologies and cloud services. (Jenkins, TeamCity, Azure DevOps, Bamboo, AWS Code Deploy)

• Strong communication skills and ability to explain protocol and processes with team and management.

• Must be able to handle multiple tasks and adapt to a constantly changing environment.

• Must have a good understanding of SDLC.

• Knowledge of Linux, Windows server, Monitoring tools, and Shell scripting.

• Self-motivated; demonstrating the ability to achieve in technologies with minimal supervision.

• Organized, flexible, and analytical ability to solve problems creatively

Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data platforms at Petabyte scale. Our customers are Fortune 500 companies including Asia's largest telecom company, a unicorn fintech startup of India, and many more. We are lean, hungry, customer-obsessed, and growing fast. Our Solutions team values productivity, integrity, and pragmatism. We provide a flexible, remote-friendly work environment.

We are building software that can provide insights into companies' data operations and allows them to focus on delivering data reliably with speed and effectiveness. Join us in building an industry-leading data observability platform that focuses on ensuring data reliability from every spectrum (compute, data and pipeline) of a cloud or on-premise data platform.

Position Summary-

This role will support the customer implementation of a data quality and reliability product. The candidate is expected to install the product in the client environment, manage proof of concepts with prospects, and become a product expert and troubleshoot post installation, production issues. The role will have significant interaction with the client data engineering team and the candidate is expected to have good communication skills.

Required experience

1. 6-7 years experience providing engineering support to data domain/pipelines/data engineers.
2. Experience in troubleshooting data issues, analyzing end to end data pipelines and in working with users in resolving issues
3. Experience setting up enterprise security solutions including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc.
4. Basic understanding of SQL
5. Experience working with technologies like S3, Kubernetes experience preferred.
6. Databricks/Hadoop/Kafka experience preferred but not required