AWS Cloud infrastructure Architect

Wissen Technology is hiring for Devops engineer

Required:

-4 to 10 years of relevant experience in Devops

-Must have hands on experience on AWS, Kubernetes, CI/CD pipeline

-Good to have exposure on Github or Gitlab

-Open to work from hashtag Chennai

-Work mode will be Hybrid

Company profile:

Company Name : Wissen Technology

Group of companies in India : Wissen Technology & Wissen Infotech

Work Location - Chennai

Website : www.wissen.com

Wissen Thought leadership : https://lnkd.in/gvH6VBaU

LinkedIn: https://lnkd.in/gnK-vXjF

Job Description:

• Drive end-to-end automation from GitHub/GitLab/BitBucket to Deployment,

Observability and Enabling the SRE activities

• Guide operations support (setup, configuration, management, troubleshooting) of

digital platforms and applications

• Solid understanding of DevSecOps Workflows that support CI, CS, CD, CM, CT.

• Deploy, configure, and manage SaaS and PaaS cloud platform and applications

• Provide Level 1 (OS, patching) and Level 2 (app server instance troubleshooting)

• DevOps programming: writing scripts, building operations/server instance/app/DB

monitoring tools Set up / manage continuous build and dev project management

environment: JenkinX/GitHub Actions/Tekton, Git, Jira Designing secure networks,

systems, and application architectures

• Collaborating with cross-functional teams to ensure secure product development

• Disaster recovery, network forensics analysis, and pen-testing solutions

• Planning, researching, and developing security policies, standards, and procedures

• Awareness training of the workforce on information security standards, policies, and

best practices

• Installation and use of firewalls, data encryption and other security products and

procedures

• Maturity in understanding compliance, policy and cloud governance and ability to

identify and execute automation.

• At Wesco, we discuss more about solutions than problems. We celebrate innovation

and creativity.

Responsibilities

• Implement various development, testing, automation tools, and IT infrastructure
• Design, build and automate the AWS infrastructure (VPC, EC2, Networking, EMR, RDS, S3, ALB, Cloud Front, etc.) using Terraform
• Manage end-to-end production workloads hosted on Docker and AWS
• Automate CI pipeline using Groovy DSL
• Deploy and configure Kubernetes clusters (EKS)
• Design and build a CI/CD Pipeline to deploy applications using Jenkins and Docker

Eligibility

• At least 8 years of proven experience in AWS-based DevOps/cloud engineering and implementations
• Expertise in all common AWS Cloud services like EC2, EKS, S3, VPC, Lambda, API Gateway, ALB, Redis, etc.
• Experience in deploying and managing production environments in Amazon AWS
• Strong experience in continuous integration and continuous deployment
• Knowledge of application build, deployment, and configuration using one of the tools: Jenkins

About the job

Our goal

We are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR build the best ML monitoring tool)

The culture

We believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in.

The role:

Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.

On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).

By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area.

Responsibilities

• Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
• Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
• Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
• Continually evaluate and improve DevOps processes for a cloud-native codebase.
• Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
• Leverage your industry experience to champion engineering best practices within the organization.

Qualifications

Work Experience

• 3+ years of industry experience (2+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
• Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
• Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 3+ years.
• 3+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)
• Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
• (Bonus: worked with big data in data lakes/warehouses).
• (Bonus: built an end-to-end ML pipeline)

Skills

• Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.
• Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)
• Strong independent contributor as well as a team player.
• Working knowledge of ML and familiarity with concepts of MLOps

Benefits

• Competitive Salary
• Work Remotely
• Health insurance
• Unlimited Time Off
• Support for continual learning (free books and online courses)
• Reimbursement for streaming services (think Netflix)
• Reimbursement for gym or physical activity of your choice
• Flex hours
• Leveling Up Opportunities

You will excel in this role if

• You have a product mindset. You understand, care about, and can relate to our customers.
• You take ownership, collaborate, and follow through to the very end.
• You love solving difficult problems, stand your ground, and get what you want from engineers.
• Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.

• Cloud and virtualization-based technologies (Amazon Web Services (AWS), VMWare).
• Java Application Server Administration (Weblogic, WidlFfy, JBoss, Tomcat).
• Docker and Kubernetes (EKS)
• Linux/UNIX Administration (Amazon Linux and RedHat).
• Developing and supporting cloud infrastructure designs and implementations and guiding application development teams.
• Configuration Management tools (Chef or Puppet or ansible).
• Log aggregations tools such as Elastic and/or Splunk.
• Automate infrastructure and application deployment-related tasks using terraform.
• Automate repetitive tasks required to maintain a secure and up-to-date operational environment.

Responsibilities

• Build and support always-available private/public cloud-based software-as-a-service (SaaS) applications.
• Build AWS or other public cloud infrastructure using Terraform.
• Deploy and manage Kubernetes (EKS) based docker applications in AWS.
• Create custom OS images using Packer.
• Create and revise infrastructure and architectural designs and implementation plans and guide the implementation with operations.
• Liaison between application development, infrastructure support, and tools (IT Services) teams.
• Development and documentation of Chef recipes and/or ansible scripts. Support throughout the entire deployment lifecycle (development, quality assurance, and production).
• Help developers leverage infrastructure, application, and cloud platform features and functionality participate in code and design reviews, and support developers by building CI/CD pipelines using Bamboo, Jenkins, or Spinnaker.
• Create knowledge-sharing presentations and documentation to help developers and operations teams understand and leverage the system's capabilities.
• Learn on the job and explore new technologies with little supervision.
• Leverage scripting (BASH, Perl, Ruby, Python) to build required automation and tools on an ad-hoc basis.

Who we have in mind:

• Solid experience in building a solution on AWS or other public cloud services using Terraform.
• Excellent problem-solving skills with a desire to take on responsibility.
• Extensive knowledge in containerized application and deployment in Kubernetes
• Extensive knowledge of the Linux operating system, RHEL preferred.
• Proficiency with shell scripting.
• Experience with Java application servers.
• Experience with GiT and Subversion.
• Excellent written and verbal communication skills with the ability to communicate technical issues to non-technical and technical audiences.
• Experience working in a large-scale operational environment.
• Internet and operating system security fundamentals.
• Extensive knowledge of massively scalable systems. Linux operating system/application development desirable.
• Programming in scripting languages such as Python. Other object-oriented languages (C++, Java) are a plus.
• Experience with Configuration Management Automation tools (chef or puppet).
• Experience with virtualization, preferably on multiple hypervisors.
• BS/MS in Computer Science or equivalent experience.
• Excellent written and verbal skills.

Education or Equivalent Experience:

• Bachelor's degree or equivalent education in related fields
• Certificates of training in associated fields/equipment’s