Docker
Kubernetes
Amazon Web Services (AWS)Position Overview: We are seeking a talented and experienced Cloud Engineer specialized in AWS cloud services to join our dynamic team. The ideal candidate will have a strong background in AWS infrastructure and services, including EC2, Elastic Load Balancing (ELB), Auto Scaling, S3, VPC, RDS, CloudFormation, CloudFront, Route 53, AWS Certificate Manager (ACM), and Terraform for Infrastructure as Code (IaC). Experience with other AWS services is a plus.
Responsibilities:
• Design, deploy, and maintain AWS infrastructure solutions, ensuring scalability, reliability, and security.
• Configure and manage EC2 instances to meet application requirements.
• Implement and manage Elastic Load Balancers (ELB) to distribute incoming traffic across multiple instances.
• Set up and manage AWS Auto Scaling to dynamically adjust resources based on demand.
• Configure and maintain VPCs, including subnets, route tables, and security groups, to control network traffic.
• Deploy and manage AWS CloudFormation and Terraform templates to automate infrastructure provisioning using Infrastructure as Code (IaC) principles.
• Implement and monitor S3 storage solutions for secure and scalable data storage
• Set up and manage CloudFront distributions for content delivery with low latency and high transfer speeds.
• Configure Route 53 for domain management, DNS routing, and failover configurations.
• Manage AWS Certificate Manager (ACM) for provisioning, managing, and deploying SSL/TLS certificates.
• Collaborate with cross-functional teams to understand business requirements and provide effective cloud solutions.
• Stay updated with the latest AWS technologies and best practices to drive continuous improvement.
Qualifications:
• Bachelor's degree in computer science, Information Technology, or a related field.
• Minimum of 2 years of relevant experience in designing, deploying, and managing AWS cloud solutions.
• Strong proficiency in AWS services such as EC2, ELB, Auto Scaling, VPC, S3, RDS, and CloudFormation.
• Experience with other AWS services such as Lambda, ECS, EKS, and DynamoDB is a plus.
• Solid understanding of cloud computing principles, including IaaS, PaaS, and SaaS.
• Excellent problem-solving skills and the ability to troubleshoot complex issues in a cloud environment.
• Strong communication skills with the ability to collaborate effectively with cross-functional teams.
• Relevant AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer, etc.) are highly desirable.
Additional Information:
• We value creativity, innovation, and a proactive approach to problem-solving.
• We offer a collaborative and supportive work environment where your ideas and contributions are valued.
• Opportunities for professional growth and development. Someshwara Software Pvt Ltd is an equal opportunity employer.
We celebrate diversity and are dedicated to creating an inclusive environment for all employees.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Someshwara Software
About
Company social profiles
Similar jobs
DockerKubernetesAmazon Web Services (AWS)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.
DockerKubernetesAmazon Web Services (AWS)| Must have | Proficient exp of minimum 4 years into DevOps with at least one devops end to end project implementation. Strong expertise on DevOps concepts like Continuous Integration (CI), Continuous delivery (CD) and Infrastructure as Code, Cloud deployments. Minimum exp of 2.5-3 years of Configuration, development and deployment with their underlying technologies including Docker/Kubernetes and Prometheus. Should have implemented an end to end devops pipeline using Jenkins or any similar framework. Experience with Microservices architecture. Sould have sound knowledge in branching and merging strategies. Experience working with cloud computing technologies like Oracle Cloud *(preferred) /GCP/AWS/OpenStack Strong experience in AWS/Azure/GCP/open stack , deployment process, dockerization. Good experience in release management tools like JIRA or similar tools. |
| Good to have | Knowledge of Infra automation tools Terraform/CHEF/ANSIBLE (Preferred) Experience in test automation tools like selenium/cucumber/postman Good communication skills to present devops solutions to the client and drive the implementation. Experience in creating and managing custom operational and monitoring scripts. Good knowledge in source control tools like Subversion, Git,bitbucket, clearcase. Experience in system architecture design |
Job Title: Cloud Engineer - Azure DevOps
Job Location: Mumbai (Andheri East)
About the company:
MIRACLE HUB CLIENT, is a predictive analytics and artificial intelligence company headquartered in Boston, US with offices across the globe. We build prediction models and algorithms to solve high priority business problems. Working across multiple industries, we have designed and developed breakthrough analytic products and decision-making tools by leveraging predictive analytics, AI, machine learning, and deep domain expertise
Skill-sets Required:
- Azure Architecture
- DevOps Expert
- Infrastructure as a code
- Automate CICD pipelines
- Security and Risk Compliance
- Validate Tech Design
Job Role:
- Create a well-informed cloud strategy and manage the adaption process and Azure based architecture
- Develop and organize automated cloud systems
- Work with other teams in continuous integration and continuous deployment pipeline in delivering solutions
- Work closely with IT security to monitor the company's cloud privacy
Desired Candidate Profile:
- Bachelor’s degree in computer science, computer engineering, or relevant field.
- A minimum of 3 years’ experience in a similar role.
- Strong knowledge of database structure systems and data mining.
- Excellent organizational and analytical abilities.
- Outstanding problem solver.
- IMMEDIATE JOINING (A notice period of 1 month is also acceptable)
- Excellent English communication and presentation skills, both verbal and written
- Charismatic, competitive and enthusiastic personality with negotiation skills
Compensation: 12-15 LPA with minimum 5 years of experience. ( OR AS PER LAST DRAWN )
Docker- Provides free and subscription-based website and email services hosted and operated at data centres in Mumbai and Hyderabad.
- Serve global audience and customers through sophisticated content delivery networks.
- Operate a service infrastructure using the latest technologies for web services and a very large storage infrastructure.
- Provides virtualized infrastructure, allows seamless migration and the addition of services for scalability.
- Pioneers and earliest adopters of public cloud and NoSQL big data store - since more than a decade.
- Provide innovative internet services with work on multiple technologies like php, java, nodejs, python and c++ to scale our services as per need.
- Has Internet infrastructure peering arrangements with all the major and minor ISPs and telecom service providers.
- Have mail traffic exchange agreements with major Internet services.
Job Details :
- This job position provides competitive professional opportunity both to experienced and aspiring engineers. The company's technology and operations groups are managed by senior professionals with deep subject matter expertise.
- The company believes having an open work environment offering mentoring and learning opportunities with an informal and flexible work culture, which allows professionals to actively participate and contribute to the success of our services and business.
- You will be part of a team that keeps the business running for cloud products and services that are used 24- 7 by the company's consumers and enterprise customers around the world. You will be asked to contribute to operate, maintain and provide escalation support for the company's cloud infrastructure that powers all of cloud offerings.
Job Role :
- As a senior engineer, your role grows as you gain experience in our operations. We facilitate a hands-on learning experience after an induction program, to get you into the role as quickly as possible.
- The systems engineer role also requires candidates to research and recommend innovative and automated approaches for system administration tasks.
- The work culture allows a seamless integration with different product engineering teams. The teams work together and share responsibility to triage in complex operational situations. The candidate is expected to stay updated on best practices and help evolve processes both for resilience of services and compliance.
- You will be required to provide support for both, production and non-production environments to ensure system updates and expected service levels. You will be required to specifically handle 24/7 L2 and L3 oversight for incident responses and have an excellent understanding of the end-to-end support process from client to different support escalation levels.
- The role also requires a discipline to create, update and maintain process documents, based on operation incidents, technologies and tools used in the processes to resolve issues.
QUALIFICATION AND EXPERIENCE :
- A graduate degree or senior diploma in engineering or technology with some or all of the following:
- Knowledge and work experience with KVM, AWS (Glacier, S3, EC2), RabbitMQ, Fluentd, Syslog, Nginx is preferred
- Installation and tuning of Web Servers, PHP, Java servlets, memory-based databases for scalability and performance
- Knowledge of email related protocols such as SMTP, POP3, IMAP along with experience in maintenance and administration of MTAs such as postfix, qmail, etc will be an added advantage
- Must have knowledge on monitoring tools, trend analysis, networking technologies, security tools and troubleshooting aspects.
- Knowledge of analyzing and mitigating security related issues and threats is certainly desirable.
- Knowledge of agile development/SDLC processes and hands-on participation in planning sprints and managing daily scrum is desirable.
- Preferably, programming experience in Shell, Python, Perl or C.
KubernetesAmazon Web Services (AWS)Requirements:
● Should have at least 2+ years of DevOps experience
● Should have experience with Kubernetes
● Should have experience with Terraform/Helm
● Should have experience in building scalable server-side systems
● Should have experience in cloud infrastructure and designing databases
● Having experience with NodeJS/TypeScript/AWS is a bonus
● Having experience with WebRTC is a bonus
-(1).png&w=256&q=75){kind=logo}
DockerKubernetesAmazon Web Services (AWS)About Us
At Digilytics™, we build and deliver easy to use AI products to the secured lending and consumer industry sectors. In an ever-crowded world of clever technology solutions looking for a problem to solve, our solutions start with a keen understanding of what creates and what destroys value in our clients’ business.
Founded by Arindom Basu (Founding member of Infosys Consulting), the leadership of Digilytics™ is deeply rooted in leveraging disruptive technology to drive profitable business growth. With over 50 years of combined experience in technology-enabled change, the Digilytics™ leadership is focused on building a values-first firm that will stand the test of time.
We are currently focused on developing a product, Revel FS, to revolutionise loan origination for mortgages and secured lending. We are also developing a second product, Revel CI, focused on improving trade (secondary) sales to consumer industry clients like auto and FMCG players.
The leadership strongly believes in the ethos of enabling intelligence across the organization. Digiliytics AI is headquartered in London, with a presence across India.
Website: http://www.digilytics.ai">www.digilytics.ai
- Know about our product
- https://www.digilytics.ai/RevEL/Digilytics">Digilytics RelEL
- https://www.digilytics.ai/RevUP/">Digilytics RelUP
- What's it like working at Digilytics https://www.digilytics.ai/about-us.html">https://www.digilytics.ai/about-us.html
- Digilytics featured in Forbes: https://bit.ly/3zDQc4z">https://bit.ly/3zDQc4z
Responsibilities
- Experience with Azure services (Virtual machines, Containers, Databases, Security/Firewall, Function Apps etc)
- Hands-on experience on Kubernetes/Docker/helm.
- Deployment of java Builds & administration/configuration of Nginx/Reverse Proxy, Load balancer, Ms-SQL, Github, Disaster Recovery,
- Linux – Must have basic knowledge- User creation/deletion, ACL, LVM etc.
- CI/CD - Azure DevOps or any other automation tool like Terraform, Jenkins etc.
- Experience with SharePoint and O365 administration
- Azure/Kubernetes certification will be preferred.
- Microsoft Partnership experience is good to have.
- Excellent understanding of required technologies
- Good interpersonal skills and the ability to communicate ideas clearly at all levels
- Ability to work in unfamiliar business areas and to use your skills to create solutions
- Ability to both work in and lead a team and to deliver and accept peer review
- Flexible approach to working environment and hours to meet the needs of the business and clients
Must Haves:
- Hands-on experience on Kubernetes/Docker/helm.
- Experience on Azure/Aws or any other cloud provider.
- Linux & CI/CD tools knowledge.
Experience & Education:
- A start up mindset with proven experience working in both smaller and larger organizations having multicultural exposure
- Between 4-9 years of experience working closely with the relevant technologies, and developing world-class software and solutions
- Domain and industry experience by serving customers in one or more of these industries - Financial Services, Professional Services, other Retail Consumer Services
- A bachelor's degree, or equivalent, in Software Engineering and Computer Science
KubernetesAmazon Web Services (AWS)Docker
Jenkins- Strong communication skills (written and verbal)
- Responsive, reliable and results oriented with the ability to execute on aggressive plans
- A background in software development, with experience of working in an agile product software development environment
- An understanding of modern deployment tools (Git, Bitbucket, Jenkins, etc.), workflow tools (Jira, Confluence) and practices (Agile (SCRUM), DevOps, etc.)
- Expert level experience with AWS tools, technologies and APIs associated with it - IAM, Cloud-Formation, Cloud Watch, AMIs, SNS, EC2, EBS, EFS, S3, RDS, VPC, ELB, IAM, Route 53, Security Groups, Lambda, VPC etc.
- Hands on experience with Kubernetes (EKS preferred)
- Strong DevOps skills across CI/CD and configuration management using Jenkins, Ansible, Terraform, Docker.
- Experience provisioning and spinning up AWS Clusters using Terraform, Helm, Helm Charts
- Ability to work across multiple projects simultaneously
- Ability to manage and work with teams and customers across the globe
DockerKubernetesAmazon Web Services (AWS)- Install, configuration management, performance tuning and monitoring of Web, App and Database servers.
- Install, setup and management of Java, PHP and NodeJS stack with software load balancers.
- Install, setup and administer MySQL, Mongo, Elasticsearch & PostgreSQL DBs.
- Install, set up and maintenance monitoring solutions for like Nagios, Zabbix.
- Design and implement DevOps processes for new projects following the department's objectives of automation.
- Collaborate on projects with development teams to provide recommendations, support and guidance.
- Work towards full automation, monitoring, virtualization and containerization.
- Create and maintain tools for deployment, monitoring and operations.
- Automation of processes in a scalable and easy to understand way that can be detailed and understood through documentation.
- Develop and deploy software that will help drive improvements towards the availability, performance, efficiency, and security of services.
- Maintain 24/7 availability for responsible systems and be open to on-call rotation.
Python• Develop and maintain CI/CD tools to build and deploy scalable web and responsive applications in production environment
• Design and implement monitoring solutions that identify both system bottlenecks and production issues
• Design and implement workflows for continuous integration, including provisioning, deployment, testing, and version control of the software.
• Develop self-service solutions for the engineering team in order to deliver sites/software with great speed and quality
o Automating Infra creation
o Provide easy to use solutions to engineering team
• Conduct research, tests, and implements new metrics collection systems that can be reused and applied as engineering best practices
o Update our processes and design new processes as needed.
o Establish DevOps Engineer team best practices.
o Stay current with industry trends and source new ways for our business to improve.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Manage timely resolution of all critical and/or complex problems
• Maintain, monitor, and establish best practices for containerized environments.
• Mentor new DevOps engineers
What you will bring
• The desire to work in fast-paced environment.
• 5+ years’ experience building, maintaining, and deploying production infrastructures in AWS or other cloud providers
• Containerization experience with applications deployed on Docker and Kubernetes
• Understanding of NoSQL and Relational Database with respect to deployment and horizontal scalability
• Demonstrated knowledge of Distributed and Scalable systems Experience with maintaining and deployment of critical infrastructure components through Infrastructure-as-Code and configuration management tooling across multiple environments (Ansible, Terraform etc)
• Strong knowledge of DevOps and CI/CD pipeline (GitHub, BitBucket, Artifactory etc)
• Strong understanding of cloud and infrastructure components (server, storage, network, data, and applications) to deliver end-to-end cloud Infrastructure architectures and designs and recommendations
o AWS services like S3, CloudFront, Kubernetes, RDS, Data Warehouses to come up with architecture/suggestions for new use cases.
• Test our system integrity, implemented designs, application developments and other processes related to infrastructure, making improvements as needed
Good to have
• Experience with code quality tools, static or dynamic code analysis and compliance and undertaking and resolving issues identified from vulnerability and compliance scans of our infrastructure
• Good knowledge of REST/SOAP/JSON web service API implementation
•
Amazon Web Services (AWS)Python
MongoDB
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon