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GCP Cloud Engineer:
- Proficiency in infrastructure as code (Terraform).
- Scripting and automation skills (e.g., Python, Shell). Knowing python is must.
- Collaborate with teams across the company (i.e., network, security, operations) to build complete cloud offerings.
- Design Disaster Recovery and backup strategies to meet application objectives.
- Working knowledge of Google Cloud
- Working knowledge of various tools, open-source technologies, and cloud services
- Experience working on Linux based infrastructure.
- Excellent problem-solving and troubleshooting skills
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About Wissen Technology
About
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
Connect with the team
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Primary Skills:
Linux – Ubuntu Administration, Git, Gerrit, Jenkins Administration, Cloud services (Preferred AWS) Apache, Ansible, Python, Postgresql, Rabbit MQ, CloudWatch AWS, CFT in AWS
Additional Skills Required:
- Should have experience working with Jenkins, Git, Gerrit
- Should have Good understanding of AWS Security and execution.
- Should have Good python skills
- Should have experience of working with GIT, Gerrit, Jira, Confluence,
- Exposure to messaging systems Rabbit MQ
- Exposure to Html, Groovy, Javascript, shell scripting
- Exposure to Kibana, Provisioning, capacity planning and performance analysis at various levels
- Exposure to Android skills.
- Should have experience in working with cloud-native architecture.
- Experience with log stash and elastic search
- Expert in Full Stack design technique as well as experience working across large environments with multiple operating systems/infrastructure for large-scale programs
- May be recognized as a leader in Agile and cultivating teams working in Agile frameworks
- Strong understanding of techniques such as Continuous Integration, Continuous Delivery, Test Driven Development, Cloud Development, resiliency, security
- Stays abreast of cutting edge technologies/trends and uses experience to influence application of those technologies/trends to support the business
- Experience on Modelling and Provisioning cloud infrastructure using AWS CloudFormation
Key Responsibilities:
- Perform a Technical Lead role for DevOPs development and support teams.
- Need to communicate & coordinate with both offshore and onsite teams
- Should translate business requirements into project plans and workable item/activities
- Have a thorough understanding of software development lifecycle and the ability to implement software following the structured approach.
- Need to perform in-depth technical reviews of project deliverables and ensure it should be defect free (minimize post release defects).
- Understand the current applications and technical architecture and improvise them as needed.
- Stay abreast of new technologies, methods to optimize development process and latest SDKs, testing tools etc
Managing cloud-based serverless infrastructure on AWS, GCP(firebase) with IaC
(Terraform, CloudFormation etc.,)
Deploying and maintaining products, services, and network components with a focus
on security, reliability, and zero downtime
Automating and streamlining existing processes to aid the development team
Working with the development team to create ephemeral environments, simplifying
the development lifecycle
Driving forward our blockchain infrastructure by creating and managing validators for
a wide variety of new and existing blockchains
Requirements:
1-3+ years in a SRE / DevOps / DevSecOps or Infrastructure Engineering role
Strong working knowledge of Amazon Web Services (AWS) or GCP or similar cloud
ecosystem
Experience working with declarative Infrastructure-as-Code frameworks(Terraform,
CloudFormation)
Experience with containerization technologies and tools (Docker, Kubernetes), CI/CD
pipelines and Linux/Unix administration
Bonus points - if you know more about crypto, staking, defi, proof-of-stake,
validators, delegations
Benefits:
Competitive CTC on par with market along with ESOPs/Tokens
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
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
Objectives :
- Building and setting up new development tools and infrastructure
- Working on ways to automate and improve development and release processes
- Testing code written by others and analyzing results
- Ensuring that systems are safe and secure against cybersecurity threats
- Identifying technical problems and developing software updates and ‘fixes’
- Working with software developers and software engineers to ensure that development follows established processes and works as intended
- Planning out projects and being involved in project management decisions
Daily and Monthly Responsibilities :
- Deploy updates and fixes
- Build tools to reduce occurrences of errors and improve customer experience
- Develop software to integrate with internal back-end systems
- Perform root cause analysis for production errors
- Investigate and resolve technical issues
- Develop scripts to automate visualization
- Design procedures for system troubleshooting and maintenance
Skills and Qualifications :
- Degree in Computer Science or Software Engineering or BSc in Computer Science, Engineering or relevant field
- 3+ years of experience as a DevOps Engineer or similar software engineering role
- Proficient with git and git workflows
- Good logical skills and knowledge of programming concepts(OOPS,Data Structures)
- Working knowledge of databases and SQL
- Problem-solving attitude
- Collaborative team spirit
Hands on Experience with Linux administration
Experience using Python or Shell scripting (for Automation)
Hands-on experience with Implementation of CI/CD Processes
Experience working with one cloud platforms (AWS or Azure or Google)
Experience working with configuration management tools such as Ansible & Chef
Experience working with Containerization tool Docker.
Experience working with Container Orchestration tool Kubernetes.
Experience in source Control Management including SVN and/or Bitbucket
& GitHub
Experience with setup & management of monitoring tools like Nagios, Sensu & Prometheus or any other popular tools
Hands-on experience in Linux, Scripting Language & AWS is mandatory
Troubleshoot and Triage development, Production issues
Job description
The role requires you to design development pipelines from the ground up, Creation of Docker Files, design and operate highly available systems in AWS Cloud environments. Also involves Configuration Management, Web Services Architectures, DevOps Implementation, Database management, Backups, and Monitoring.
Key responsibility area
- Ensure reliable operation of CI/CD pipelines
- Orchestrate the provisioning, load balancing, configuration, monitoring and billing of resources in the cloud environment in a highly automated manner
- Logging, metrics and alerting management.
- Creation of Bash/Python scripts for automation
- Performing root cause analysis for production errors.Requirement
- Proficient in Linux Commands line and troubleshooting.
- Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
- Hands-on experience with CI tooling preferably with Jenkins.
- Proficient in deployment using Ansible.
- Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloudformation etc.
- Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache.
- Scripting languages: Bash, Python, Groovy.
- Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.
Must Have:
Linux, CI/CD(Jenkin), AWS, Scripting(Bash,shell Python, Go), Ngnix, Docker.
Good to have
Configuration Management(Ansible or similar tool), Logging tool( ELK or similar), Monitoring tool(Ngios or similar), IaC(Terraform, cloudformation).
- 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 to maintain high levels of visibility, efficiency, and collaboration
- Ensure teams have appropriate technical direction, leadership, and balance between short-term impact and long-term architectural vision.
- Occasionally contributing to development tasks such as coding and feature verifications to assist teams with release commitments, to gain an understanding of the deeply technical product as well as to keep your 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
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- Work with developers to build out CI/CD pipelines, enable self-service build tools and reusable deployment jobs. Find, explore, and advocate for new technologies for enterprise use.
- Automate the provisioning of environments
- Promote new DevOps tools to simplify the build process and entire Continuous Delivery.
- Manage a Continuous Integration and Deployment environment.
- Coordinate and scale the evolving build and cloud deployment systems across all product development teams.
- Work independently, with, and across teams. Establishing smooth running. environments are paramount to your success, and happiness
- Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the[1]box thinking, teamwork, self-organization, and diversity.
Technical Skills
- Experience with AWS multi-region/multi-AZ deployed systems, auto-scaling of EC2 instances, CloudFormation, ELBs, VPCs, CloudWatch, SNS, SQS, S3, Route53, RDS, IAM roles, security groups, cloud watch
- Experience in Data Visualization and Monitoring tools such as Grafana and Kibana
- Experienced in Build and CI/CD/CT technologies like GitHub, Chef, Artifactory, Hudson/Jenkins
- Experience with log collection, filter creation, and analysis, builds, and performance monitoring/tuning of infrastructure.
- Automate the provisioning of environments pulling strings with Puppet, cooking up some recipes with Chef, or through Ansible, and the deployment of those environments using containers, like Docker or Rocket: (have at least some configuration management tool through some version control).
Qualifications:
- B.E/ B.Tech/ M.C.A in Computer Science, Electronics and Communication Engineering, Electronics and Electrical Engineering.
- Minimum 60% in Graduation and Post-Graduation.
- Good verbal and written communication skills
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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
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