Kubernetes
Docker
Amazon Web Services (AWS)We are looking for a DevOps Lead to join our team.
Responsibilities
• A technology Professional who understands software development and can solve IT Operational and deployment challenges using software engineering tools and processes. This position requires an understanding of both Software development (Dev) and deployment
Operations (Ops)
• Identity manual processes and automate them using various DevOps automation tools
• Maintain the organization’s growing cloud infrastructure
• Monitor and maintain DevOps environment stability
• Collaborate with distributed Agile teams to define technical requirements and resolve technical design issues
• Orchestrating builds and test setups using Docker and Kubernetes.
• Participate in designing and building Kubernetes, Cloud, and on-prem environments for maximum performance, reliability and scalability
• Share business and technical learnings with the broader engineering and product organization, while adapting approaches for different audiences
Requirements
• Candidates working for this position should possess at least 5 years of work experience as a DevOps Engineer.
• Candidate should have experience in ELK stack, Kubernetes, and Docker.
• Solid experience in the AWS environment.
• Should have experience in monitoring tools like DataDog or Newrelic.
• Minimum of 5 years experience with code repository management, code merge and quality checks, continuous integration, and automated deployment & management using tools like Jenkins, SVN, Git, Sonar, and Selenium.
• Candidates must possess ample knowledge and experience in system automation, deployment, and implementation.
• Candidates must possess experience in using Linux, Jenkins, and ample experience in configuring and automating the monitoring tools.
• The candidates should also possess experience in the software development process and tools and languages like SaaS, Python, Java, MongoDB, Shell scripting, Python, PostgreSQL, and Git.
• Candidates should demonstrate knowledge in handling distributed data systems.
Examples: Elastisearch, Cassandra, Hadoop, and others.
• Should have experience in GitLab- CIRoles and Responsibilities
Subodh Popalwar
Software Engineer, Memorres
About Webtiga Private limited
Experts in Web 3 Technologies -Metaverse, Generative AI, Web3,Cybersecurity and DeFi spoken
For more details - please check out our website-https://www.webtiga.com/solutions/
Python
NodeJS (Node.js)
Java
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DevOps Systems Engineer with experience in Docker Containers, Docker Swarm, Docker Compose, Ansible, Jenkins and other tools. As part of this role she/he must work with the container best practices in design, development and implementation.
At Least 4 Years of experience in DevOps with knowledge of:
- Docker
- Docker Cloud / Containerization
- DevOps Best Practices
- Distributed Applications
- Deployment Architecture
- Atleast AWS Experience
- Exposure to Kubernetes / Serverless Architecture
Skills:
- 3-7+ years of experience in DevOps Engineering
- Strong experience with Docker Containers, Implementing Docker Containers, Container Clustering
- Experience with Docker Swarm, Docker Compose, Docker Engine
- Experience with Provisioning and managing VM's - Virtual Machines
- Experience / strong knowledge with Network Topologies, Network Research,
- Jenkins, BitBucket, Jira
- Ansible or other Automation Configuration Management System tools
- Scripting & Programming using languages such as BASH, Perl, Python, AWK, SED, PHP, Shell
- Linux Systems Administration -: Redhat
Additional Preference:
Security, SSL configuration, Best Practices
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)- Good knowledge of at least one language (C#, Java, Python, Go, PHP, Node.js)
- Have enough experience on application and infrastructure architectures
- Design and plan cloud solution architecture
- Design for security, network, and compliances
- Analyze and optimize technical and business processes
- Ensure solution and operational reliability
- Manage and provision cloud infrastructure
- Manage IaaS, PaaS, and SaaS solutions
- Design strategies around cloud governance, migration, Cloud operations and DevOps
- Design highly scalable, available, and reliable cloud applications
- Build and test applications
- Deploy applications on cloud
- Integration with cloud services
Certification:
- Architect level certificate of any cloud (AWS, GCP, Azure)
DockerKubernetesAmazon Web Services (AWS)Job Description
- Implement IAM policies and configure VPCs to create a scalable and secure network for the application workloads
- Will be client point of contact for High Priority technical issues and new requirements
- Should act as Tech Lead and guide the junior members of team and mentor them
- Work with client application developers to build, deploy and run both monolithic and microservices based applications on AWS Cloud
- Analyze workload requirements and work with IT stakeholders to define proper sizing for cloud workloads on AWS
- Build, Deploy and Manage production workloads including applications on EC2 instance, APIs on Lambda Functions and more
- Work with IT stakeholders to monitor system performance and proactively improve the environment for scale and security
Qualifications
- Prefer to have at least 5+ years of IT experience implementing enterprise applications
- Should be AWS Solution Architect Associate Certified
- Must have at least 3+ years of working as a Cloud Engineer focused on AWS services such as EC2, CloudFront, VPC, CloudWatch, RDS, DynamoDB, Systems Manager, Route53, WAF, API Gateway, Elastic beanstalk, ECS, ECR, Lambda, SQS, SNS, S3 bucket, Elastic Search, DocumentDB IAM, etc.
- Must have a strong understanding of EC2 instances, types and deploying applications to the cloud
- Must have a strong understanding of IAM policies, VPC creation, and other security/networking principles
- Must have through experience in doing on prem to AWS cloud workload migration
- Should be comfortable in using AWS and other migrations tools
- Should have experience is working on AWS performance, Cost and Security optimisation
- Should be experience in implementing automated patching and hardening of the systems
- Should be involved in P1 tickets and also guide team wherever needed
- Creating Backups and Managing Disaster Recovery
- Experience in using Infra as a code automation using scripts & tools like CloudFormation and Terraform
- Any exposure towards creating CI/CD pipelines on AWS using CodeBuild, CodeDeploy, etc. is an advantage
- Experience with Docker, Bitbucket, ELK and deploying applications on AWS
- Good understanding of Containerisation technologies like Docker, Kubernetes etc.
- Should be experience in using and configuring cloud monitoring tools and ITSM ticketing tools
- Good exposure to Logging & Monitoring tools like Dynatrace, Prometheus, Grafana, ELF/EFK
DockerJenkinsJob Description
• Minimum 3+ yrs of Experience in DevOps with AWS Platform
• Strong AWS knowledge and experience
• Experience in using CI/CD automation tools (Git, Jenkins, Configuration deployment tools ( Puppet/Chef/Ansible)
• Experience with IAC tools Terraform
• Excellent experience in operating a container orchestration cluster (Kubernetes, Docker)
• Significant experience with Linux operating system environments
• Experience with infrastructure scripting solutions such as Python/Shell scripting
• Must have experience in designing Infrastructure automation framework.
• Good experience in any of the Setting up Monitoring tools and Dashboards ( Grafana/kafka)
• Excellent problem-solving, Log Analysis and troubleshooting skills
• Experience in setting up centralized logging for system (EKS, EC2) and application
• Process-oriented with great documentation skills
• Ability to work effectively within a team and with minimal supervision
DockerAmazon Web Services (AWS)The AWS Cloud/Devops Engineer will be working with the engineering team and focusing on AWS infrastructure and automation. A key part of the role is championing and leading infrastructure as code. The Engineer will work closely with the Manager of Operations and Devops to build, manage and automate our AWS infrastructure.
Duties & Responsibilities:
- Design cloud infrastructure that is secure, scalable, and highly available on AWS
- Work collaboratively with software engineering to define infrastructure and deployment requirements
- Provision, configure and maintain AWS cloud infrastructure defined as code
- Ensure configuration and compliance with configuration management tools
- Administer and troubleshoot Linux based systems
- Troubleshoot problems across a wide array of services and functional areas
- Build and maintain operational tools for deployment, monitoring, and analysis of AWS infrastructure and systems
- Perform infrastructure cost analysis and optimization
Qualifications:
- At least 1-5 years of experience building and maintaining AWS infrastructure (VPC, EC2, Security Groups, IAM, ECS, CodeDeploy, CloudFront, S3)
- Strong understanding of how to secure AWS environments and meet compliance requirements
- Expertise using Chef for configuration management
- Hands-on experience deploying and managing infrastructure with Terraform
- Solid foundation of networking and Linux administration
- Experience with CI-CD, Docker, GitLab, Jenkins, ELK and deploying applications on AWS
- Ability to learn/use a wide variety of open source technologies and tools
- Strong bias for action and ownership
DockerKubernetesAmazon Web Services (AWS)We (the Software Engineer team) are looking for a motivated, experienced person with a data-driven approach to join our Distribution Team in Bangalore to help design, execute and improve our test sets and infrastructure for producing high-quality Hadoop software.
A Day in the life
You will be part of a team that makes sure our releases are predictable and deliver high value to the customer. This team is responsible for automating and maintaining our test harness, and making test results reliable and repeatable.
You will:
-
work on making our distributed software stack more resilient to high-scale endurance runs and customer simulations
-
provide valuable fixes to our product development teams to the issues you’ve found during exhaustive test runs
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work with product and field teams to make sure our customer simulations match the expectations and can provide valuable feedback to our customers
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work with amazing people - We are a fun & smart team, including many of the top luminaries in Hadoop and related open source communities. We frequently interact with the research community, collaborate with engineers at other top companies & host cutting edge researchers for tech talks.
-
do innovative work - Cloudera pushes the frontier of big data & distributed computing, as our track record shows. We work on high-profile open source projects, interacting daily with engineers at other exciting companies, speaking at meet-ups, etc.
-
be a part of a great culture - Transparent and open meritocracy. Everybody is always thinking of better ways to do things, and coming up with ideas that make a difference. We build our culture to be the best workplace in our careers.
You have:
-
strong knowledge in at least 1 of the following languages: Java / Python / Scala / C++ / C#
-
hands-on experience with at least 1 of the following configuration management tools: Ansible, Chef, Puppet, Salt
-
confidence with Linux environments
-
ability to identify critical weak spots in distributed software systems
-
experience in developing automated test cases and test plans
-
ability to deal with distributed systems
-
solid interpersonal skills conducive to a distributed environment
-
ability to work independently on multiple tasks
-
self-driven & motivated, with a strong work ethic and a passion for problem solving
-
innovate and automate and break the code
The right person in this role has an opportunity to make a huge impact at Cloudera and add value to our future decisions. If this position has piqued your interest and you have what we described - we invite you to apply! An adventure in data awaits.
KubernetesDockerRole Summary
In this role, you will lead the DevOps function at the organisation and work through all
facets of software development: design, prototype, implementation, testing and
documentation.
Responsibilities
- Design, prototype, implement, test and troubleshoot deployment strategies
- BS in Computer Science, Mathematics, Engineering or equivalent. MS or higher degree
- preferred.
- Design continuous integration and delivery pipelines using latest tools and platformsv
- Demonstrated understanding and hands-on experience in Kubernetes, K8s-Ingress,
- Docker, AWS EC2, VPC, Route53, ELB, RDS, MongoDB, Helm, Rancher, Jenkins,
- VPN, GKE.
- Create high level deployment design (HLSD) documents and outline software solutions
- Strong DevOps Management experience with focus on server-side development and
- database design
- Optimize application for maximum speed and scalability
- Strong understanding of web technologies, web services, communication protocols,
- (REST, SOAP API’s) and a proven track record in developing communication between
- desktop applications and web services
- Knowledge of Agile software development methodologies
- Cooperating with the back-end developer in the process of building the RESTful API
Qualification
- Experience with working on code enhancements within a large, complex software
- system
- Create server side deployment primarily in the Cloud, Collaboration space
- 10+ years of relevant experience in developing and managing web/app products.
- Experience with a few of these languages: Shell, Ruby/ JRuby, Python, PowerShell, Java,
- Go
- Hands-on experience in deploying and managing highly scalable cloud applications
- using AWS,Google Cloud
- Assure that all user input is validated before submitting to back-end
- Basic understanding of cloud security and hands on experience in building secure
- systems.
- Prepare accurate implementation task lists / time estimates and deliver assignments as
- per functional specifications, quality standards and project schedulesvvvv
Amazon Web Services (AWS)
Amazon Web Services (AWS)Docker
Who we are?
Searce is a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realise the “Next” in the “Now” for our Clients. We specialise in Cloud Data Engineering, AI/Machine Learning and Advanced Cloud infra tech such as Anthos and Kubernetes. We are one of the top & the fastest growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to cloud.
What we believe?
- Best practices are overrated
- Implementing best practices can only make one n ‘average’ .
- Honesty and Transparency
- We believe in naked truth. We do what we tell and tell what we do.
- Client Partnership
- Client - Vendor relationship: No. We partner with clients instead.
- And our sales team comprises 100% of our clients.
How we work?
It’s all about being Happier first. And rest follows. Searce work culture is defined by HAPPIER.
- Humble: Happy people don’t carry ego around. We listen to understand; not to respond.
- Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about.
- Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it.
- Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver.
- Innovative: Innovate or Die. We love to challenge the status quo.
- Experimental: We encourage curiosity & making mistakes.
- Responsible: Driven. Self motivated. Self governing teams. We own it.
Are you the one? Quick self-discovery test:
- Love for cloud: When was the last time your dinner entailed an act on “How would ‘Jerry Seinfeld’ pitch Cloud platform & products to this prospect” and your friend did the ‘Sheldon’ version of the same thing.
- Passion for sales: When was the last time you went at a remote gas station while on vacation, and ended up helping the gas station owner saasify his 7 gas stations across other geographies.
- Compassion for customers: You listen more than you speak. When you do speak, people feel the need to listen.
- Humor for life: When was the last time you told a concerned CEO, ‘If Elon Musk can attempt to take humanity to Mars, why can’t we take your business to run on cloud ?
Your bucket of undertakings:
- This position will be responsible to consult with clients and propose architectural solutions to help move & improve infra from on-premise to cloud or help optimize cloud spend from one public cloud to the other
- Be the first one to experiment on new age cloud offerings, help define the best practise as a thought leader for cloud, automation & Dev-Ops, be a solution visionary and technology expert across multiple channels.
- Continually augment skills and learn new tech as the technology and client needs evolve
- Demonstrate knowledge of cloud architecture and implementation features (OS, multi-tenancy, virtualization, orchestration, elastic scalability)
- Use your experience in Google cloud platform, AWS or Microsoft Azure to build hybrid-cloud solutions for customers.
- Provide leadership to project teams, and facilitate the definition of project deliverables around core Cloud based technology and methods.
- Define tracking mechanisms and ensure IT standards and methodology are met; deliver quality results.
- Define optimal design patterns and solutions for high availability and disaster recovery for applications
- Participate in technical reviews of requirements, designs, code and other artifacts Identify and keep abreast of new technical concepts in AWS
- Security, Risk and Compliance - Advise customers on best practices around access management, network setup, regulatory compliance and related areas
- Develop solutions architecture and evaluate architectural alternatives for private, public and hybrid cloud models, including IaaS, PaaS, and other cloud services
- Demonstrate leadership ability to back decisions with research and the “why,” and articulate several options, the pros and cons for each, and a recommendation • Maintain overall industry knowledge on latest trends, technology, etc. • • Contribute to DevOps development activities and complex development tasks
- Act as a Subject Matter Expert on cloud end-to-end architecture, including AWS and future providers, networking, provisioning, and management
Accomplishment Set
- Passionate, persuasive, articulate Cloud professional capable of quickly establishing interest and credibility
- Good business judgment, a comfortable, open communication style, and a willingness and ability to work with customers and teams.
- Strong service attitude and a commitment to quality. Highly organised and efficient. Confident working with others to inspire a high-quality standard.
Education, Experience, etc.
- To reiterate: Passion to tech-awesome, insatiable desire to learn the latest of the new-age cloud tech, highly analytical aptitude and a strong ‘desire to deliver’ outlives those fancy degrees!
- 6 - 10 years of experience with at least 5 - 6 years of hands-on experience in Cloud Computing
- (AWS/GCP/Azure) and IT operational experience in a global enterprise environment.
- Good analytical, communication, problem solving, and learning skills.
- Knowledge on programming against cloud platforms such as AWS and lean development methodologies.
Follow CutshortSubodh Popalwar
Software Engineer, Memorres