Cloud Solutions Architect

we’d love to speak with you. Skills and Qualifications:

Strong experience with continuous integration/continuous deployment (CI/CD) pipeline tools such as Jenkins, TravisCI, or GitLab CI.

Proficiency in scripting languages such as Python, Bash, or Ruby.

Knowledge of infrastructure automation tools such as Ansible, Puppet, or Terraform.

Experience with cloud platforms such as AWS, Azure, or GCP.

Knowledge of container orchestration tools such as Docker, Kubernetes, or OpenShift.

Experience with version control systems such as Git.

Familiarity with Agile methodologies and practices.

Understanding of networking concepts and principles.

Knowledge of database technologies such as MySQL, MongoDB, or PostgreSQL.

Good understanding of security and data protection principles.

Roles and responsibilities:

● Building and setting up new development tools and infrastructure

● Working on ways to automate and improve development and release processes

● Deploy updates and fixes

● Helping to ensure information security best practices

● Provide Level 2 technical support

● Perform root cause analysis for production errors

● Investigate and resolve technical issues

Key Responsibilities:-

• Collaborate with Data Scientists to test and scale new algorithms through pilots and later industrialize the solutions at scale to the comprehensive fashion network of the Group

• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service to provide an e2e solution

• Leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code

• Design, develop and maintain the framework for the analytical pipeline

• Develop common components to address pain points in machine learning projects, like model lifecycle management, feature store and data quality evaluation

• Provide input and help implement framework and tools to improve data quality

• Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within the Group

• Deliver on time, demonstrating a strong commitment to deliver on the team mission and agreed backlog

• Understanding of maintenance of existing systems (Virtual machines), Linux stack
• Experience running, operating and maintainence of Kubernetes pods
• Strong Scripting skills
• Experience in AWS
• Knowledge of configuring/optimizing open source tools like Kafka, etc.
• Strong automation maintenance - ability to identify opportunities to speed up build and deploy process with strong validation and automation
• Optimizing and standardizing monitoring, alerting.
• Experience in Google cloud platform
• Experience/ Knowledge  in Python will be an added advantage
• Experience on Monitoring Tools like Jenkins, Kubernetes ,Terraform  etc

Roles and Responsibilities:

• Gather and analyse cloud infrastructure requirements

• Automating system tasks and infrastructure using a scripting language (Shell/Python/Ruby

preferred), with configuration management tools (Ansible/ Puppet/Chef), service registry and

discovery tools (Consul and Vault, etc), infrastructure orchestration tools (Terraform,

CloudFormation), and automated imaging tools (Packer)

• Support existing infrastructure, analyse problem areas and come up with solutions

• An eye for monitoring – the candidate should be able to look at complex infrastructure and be

able to figure out what to monitor and how.

• Work along with the Engineering team to help out with Infrastructure / Network automation needs.

• Deploy infrastructure as code and automate as much as possible

• Manage a team of DevOps

Desired Profile:

• Understanding of provisioning of Bare Metal and Virtual Machines

• Working knowledge of Configuration management tools like Ansible/ Chef/ Puppet, Redfish.

• Experience in scripting languages like Ruby/ Python/ Shell Scripting

• Working knowledge of IP networking, VPN's, DNS, load balancing, firewalling & IPS concepts

• Strong Linux/Unix administration skills.

• Self-starter who can implement with minimal guidance

• Hands-on experience setting up CICD from SCRATCH in Jenkins

• Experience with Managing K8s infrastructure

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

• Essentail Skills:
• Docker
• Jenkins
• Python dependency management using conda and pip

• Base Linux System Commands, Scripting
• Docker Container Build & Testing
• Common knowledge of minimizing container size and layers
• Inspecting containers for un-used / underutilized systems
• Multiple Linux OS support for virtual system

• Has experience as a user of jupyter / jupyter lab to test and fix usability issues in workbenches
• Templating out various configurations for different use cases (we use Python Jinja2 but are open to other languages / libraries)
• Jenkins PIpeline
• Github API Understanding to trigger builds, tags, releases
• Artifactory Experience
• Nice to have: Kubernetes, ArgoCD, other deployment automation tool sets (DevOps)

We are front runners of the technological revolution with an inexhaustible passion for technology! DevOn is the technical organization that originated from Prowareness. We are the company at the forefront of leading DevOps transformations and setting up High Performance Distributed DevOps teams with leading companies worldwide. DevOn helps market leaders to take the next step in software delivery. We consist of a dynamic team, in which personal growth is central!

About You

You have 6+ years of experience in AWS infra Automation. This is a fantastic opportunity to work in a fast-paced operations environment and to develop your career in Cloud technologies, particularly Amazon Web Services.

You are building and monitoring CI/CD pipeline in AWS cloud. This is a highly scalable backend application building on Java platform. We need a resource who can troubleshoot, diagnose and rectify system service issues.

You’re cloud native with Terraform as an orchestration. You would use Terraform as a key Orchestration in Infrastructure as Code.

You're comfortable driving. You prefer to own your work streams and enjoy working in autonomy to progress towards your goals.

 You provide an incredible support to the team. You sweat the small stuff but keep the big picture in mind. You know that a pair programming can give better result

An ideal candidate is/are:

This is a key role within our DevOps team and will involve working as part of a collaborative agile team in a shared services DevOps organization to support and deliver innovative technology solutions that directly align with the delivery of business value and enhanced customer experience. The primary objective is to provide support to Amazon Web Services hosted environment, ensure continuous availability, working closely with development teams to ensure best value for money, and effective estate management.

• Setup CI/CD Pipeline from scratch along with integration of appropriate quality gates.
• Expertise level knowledge in AWS cloud. Provision and configure infrastructure as code using Terraform
• Build and configure Kubernetes-based infrastructure, networking policies, LBs, and cluster security. Define autoscaling and cost strategies.
• Automate the build of containerized systems with CI/CD tooling, Helm charts, and more
• Manage deployments and rollbacks of applications
• Implement monitoring and metrics with Cloud watch, Newrelic
• Troubleshoot and optimize containerized workload deployments for clients
• Automate operational tasks, and assist in the transition to service ownership models.