Amazon Web Services (AWS)
Python- Expertise in Infrastructure & Application design & architecture
- Expertise in AWS, OS & networking
- Having good exposure on Infra & Application security
- Expertise in Python, Shell scripting
- Proficient with Devops tools Terraform, Jenkins, Ansible, Docker, GIT
- Solid background in systems engineering and operations
- Strong in Devops methodologies and processes
- Strong in CI/CD pipeline & SDLC.
Shubham Vishwakarma
Full Stack Developer - Averlon
Similar jobs
DevOps & Automation:
- Experience in CI/CD tools like Azure DevOps, YAML, Git, and GitHub. Capable of automating build, test, and deployment processes to streamline application delivery.
- Hands-on experience with Infrastructure as Code (IaC) tools such as Bicep (preferred), Terraform, Ansible, and ARM Templates.
Cloud Services & Architecture:
- Experience in Azure Cloud services, including Web Apps, AKS, Application Gateway, APIM, and Logic Apps.
- Good understanding of cloud design patterns, security best practices, and cost optimization strategies.
Scripting & Automation:
- Experience in developing and maintaining automation scripts using PowerShell to manage, monitor, and support applications.
- Familiar with Azure CLI, REST APIs, and automating workflows using Azure DevOps Pipelines.
Data Integration & ADF:
- Working knowledge or basic hands-on experience with Azure Data Factory (ADF), focusing on developing and managing data pipelines and workflows.
- Knowledge of data integration practices, including ETL/ELT processes and data transformations.
Application Management & Monitoring:
- Ability to provide comprehensive support for both new and legacy applications.
- Proficient in managing and monitoring application performance using tools like Azure Monitor, Log Analytics, and Application Insights.
- Understanding of application security principles and best practices.
Database Skills:
- Basic experience of SQL and Azure SQL, including database backups, restores, and application data management.
Docker
KubernetesAmazon Web Services (AWS)LogiNext is looking for a technically savvy and passionate DevOps Engineer to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust and scalable infrastructure.
You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline development operations and processes. You are a master in troubleshooting and resolving issues in non-production and production environments.
Responsibilities:
Design and implement scalable infrastructure for delivering and running web, mobile and big data applications on cloud Scale and optimise a variety of SQL and NoSQL databases, web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Support several Linux servers running our SaaS platform stack on AWS, Azure, GCP Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations
Requirements:
Bachelor’s degree in Computer Science, Information Technology or a related field 2 to 4 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure Strong background in Linux/Unix Administration and Python/Shell Scripting Extensive experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure Experience in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms Experience in enterprise application development, maintenance and operations Knowledge of best practices and IT operations in an always-up, always-available service Excellent written and oral communication skills, judgment and decision-making skills
![[x]cube LABS](/_next/image?url=https%3A%2F%2Fcdnv2.cutshort.io%2Fcompany-static%2F639877aa0ad87e002533a1c5%2Fuser_uploaded_data%2Flogos%2Fx_whiteB_eeCk0gqs.png&w=256&q=75)
DockerKubernetesAmazon Web Services (AWS)
JenkinsJob 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
KubernetesDocker
PostgreSQLAbout Hive
Hive is the leading provider of cloud-based AI solutions for content understanding,
trusted by the world’s largest, fastest growing, and most innovative organizations. The
company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
About Role
Our unique machine learning needs led us to open our own data centers, with an
emphasis on distributed high performance computing integrating GPUs. Even with these data centers, we maintain a hybrid infrastructure with public clouds when the right fit. As we continue to commercialize our machine learning models, we also need to grow our DevOps and Site Reliability team to maintain the reliability of our enterprise SaaS offering for our customers. Our ideal candidate is someone who is
able to thrive in an unstructured environment and takes automation seriously. You believe there is no task that can’t be automated and no server scale too large. You take pride in optimizing performance at scale in every part of the stack and never manually performing the same task twice.
Responsibilities
● Create tools and processes for deploying and managing hardware for Private Cloud Infrastructure.
● Improve workflows of developer, data, and machine learning teams
● Manage integration and deployment tooling
● Create and maintain monitoring and alerting tools and dashboards for various services, and audit infrastructure
● Manage a diverse array of technology platforms, following best practices and
procedures
● Participate in on-call rotation and root cause analysis
Requirements
● Minimum 5 - 10 years of previous experience working directly with Software
Engineering teams as a developer, DevOps Engineer, or Site Reliability
Engineer.
● Experience with infrastructure as a service, distributed systems, and software design at a high-level.
● Comfortable working on Linux infrastructures (Debian) via the CLIAble to learn quickly in a fast-paced environment.
● Able to debug, optimize, and automate routine tasks
● Able to multitask, prioritize, and manage time efficiently independently
● Can communicate effectively across teams and management levels
● Degree in computer science, or similar, is an added plus!
Technology Stack
● Operating Systems - Linux/Debian Family/Ubuntu
● Configuration Management - Chef
● Containerization - Docker
● Container Orchestrators - Mesosphere/Kubernetes
● Scripting Languages - Python/Ruby/Node/Bash
● CI/CD Tools - Jenkins
● Network hardware - Arista/Cisco/Fortinet
● Hardware - HP/SuperMicro
● Storage - Ceph, S3
● Database - Scylla, Postgres, Pivotal GreenPlum
● Message Brokers: RabbitMQ
● Logging/Search - ELK Stack
● AWS: VPC/EC2/IAM/S3
● Networking: TCP / IP, ICMP, SSH, DNS, HTTP, SSL / TLS, Storage systems,
RAID, distributed file systems, NFS / iSCSI / CIFS
Who we are
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the
development of the company.
Thank you for your interest in Hive and we hope to meet you soon
KubernetesDockerAmazon Web Services (AWS) 3-5 years of experience in DevOps, systems administration, or software engineering roles.
B. Tech. in computer science or related field from top tier engineering colleges.
Strong technical skills in software development, systems administration, and cloud infrastructure management.
Experience with infrastructure-as-code tools such as Terra form or Cloud Formation.
Experience with containerization technologies such as Dockers and Kubernetes.
Experience with cloud providers such as AWS or Azure.
Experience with scripting languages such as Bash or Python.
Strong problem-solving and analytical skills.
Strong communication and collaboration skills
PythonAmazon Web Services (AWS)Docker- Hands-on experience building database-backed web applications using Python based frameworks
- Excellent knowledge of Linux and experience developing Python applications that are deployed in Linux environments
- Experience building client-side and server-side API-level integrations in Python
- Experience in containerization and container orchestration systems like Docker, Kubernetes, etc.
- Experience with NoSQL document stores like the Elastic Stack (Elasticsearch, Logstash, Kibana)
- Experience in using and managing Git based version control systems - Azure DevOps, GitHub, Bitbucket etc.
- Experience in using project management tools like Jira, Azure DevOps etc.
- Expertise in Cloud based development and deployment using cloud providers like AWS or Azure
DockerKubernetesAmazon Web Services (AWS)- Demonstrated experience with AWS
- Knowledge of servers, networks, storage, client-server systems, and firewalls
- Strong expertise in Windows and/or Linux operating systems, including system architecture and design, as well as experience supporting and troubleshooting stability and performance issues
- Thorough understanding of and experience with virtualization technologies (e.g., VMWare/Hyper-V)
- Knowledge of core network services such as DHCP, DNS, IP routing, VLANs, layer 2/3 routing, and load balancing is required
- Experience in reading, writing or modifying PowerShell, Bash scripts & Python code.Experience using git
- Working know-how of software-defined lifecycles, product packaging, and deployments
- POSTGRESSQL or Oracle database administration (Backup, Restore, Tuning, Monitoring, Management)
- At least 2 from AWS Associate Solutions Architect, DevOps, or SysOps
- At least 1 from AWS Professional Solutions Architect, DevOps
- AWS: S3, Redshift, DynamoDB, EC2, VPC, Lambda, CloudWatch etc.
- Bigdata: Databricks, Cloudera, Glue and Athena
- DevOps: Jenkins, Bitbucket
- Automation: Terraform, Cloud Formation, Python, Shell scripting Experience in automating AWS infrastructure with Terraform.
- Experience in database technologies is a plus.
- Knowledge in all aspects of DevOps (source control, continuous integration, deployments, etc.)
- Proficiency in security implementation best practices on IAM policies, KMS encryption, Secrets Management, Network Security Groups etc.
- Experience working in the SCRUM Environment
KubernetesDockerAmazon Web Services (AWS) Implement DevOps capabilities in cloud offerings using CI/CD toolsets and automation
Defining and setting development, test, release, update, and support processes for DevOps
operation
Troubleshooting techniques and fixing the code bugs
Coordination and communication within the team and with client team
Selecting and deploying appropriate CI/CD tools
Strive for continuous improvement and build continuous integration, continuous
development, and constant deployment pipeline (CI/CD Pipeline)
Pre-requisite skills required:
Experience working on Linux based infrastructure
Experience of scripting in at-least 2 languages ( Bash + Python / Ruby )
Working knowledge of various tools, open-source technologies, and cloud services
Experience with Docker, AWS ( ec2, s3, iam, eks, route53), Ansible, Helm, Terraform
Experience with building, maintaining, and deploying Kubernetes environments and
applications
Experience with build and release automation and dependency management; implementing
CI/CD
Clear fundamentals with DNS, HTTP, HTTPS, Micro-Services, Monolith etc.
KubernetesJenkins• At least 4 years of hands-on experience with cloud infrastructure on GCP
• Hands-on-Experience on Kubernetes is a mandate
• Exposure to configuration management and orchestration tools at scale (e.g. Terraform, Ansible, Packer)
• Knowledge and hand-on-experience in DevOps tools (e.g. Jenkins, Groovy, and Gradle)
• Knowledge and hand-on-experience on the various platforms (e.g. Gitlab, CircleCl and Spinnakar)
• Familiarity with monitoring and alerting tools (e.g. CloudWatch, ELK stack, Prometheus)
• Proven ability to work independently or as an integral member of a team
Preferable Skills:
• Familiarity with standard IT security practices such as encryption,
credentials and key management.
• Proven experience on various coding languages (Java, Python-) to
• support DevOps operation and cloud transformation
• Familiarity and knowledge of the web standards (e.g. REST APIs, web security mechanisms)
• Hands on experience with GCP
• Experience in performance tuning, services outage management and troubleshooting.
Attributes:
• Good verbal and written communication skills
• Exceptional leadership, time management, and organizational skill Ability to operate independently and make decisions with little direct supervision
Amazon Web Services (AWS)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon