Docker
Kubernetes
Amazon Web Services (AWS)Job Description:
- Hands on experience with Ansible & Terraform.
- Scripting language, such as Python or Bash or PowerShell is required and willingness to learn and master others.
- Troubleshooting and resolving automation, build, and CI/CD related issues (in cloud environment like AWS or Azure).
- Experience with Kubernetes is mandate.
- To develop and maintain tooling and environments for test and production environments.
- Assist team members in the development and maintenance of tooling for integration testing, performance testing, security testing, as well as source control systems (that includes working in CI systems like Azure DevOps, Team City, and orchestration tools like Octopus).
- Good with Linux environment.
Shubham Vishwakarma
Full Stack Developer - Averlon
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DockerKubernetesAmazon Web Services (AWS)Lightning Job By Cutshort ⚡
As part of this feature, you can expect status updates about your application and replies within 72 hours (once the screening questions are answered)
Job Overview:
We are seeking an experienced DevOps Engineer to join our team. The successful candidate will be responsible for designing, implementing, and maintaining the infrastructure and software systems required to support our development and production environments. The ideal candidate should have a strong background in Linux, GitHub, Actions/Jenkins, ArgoCD, AWS, Kubernetes, Helm, Datadog, MongoDB, Envoy Proxy, Cert-Manager, Terraform, ELK, Cloudflare, and BigRock.
Responsibilities:
• Design, implement and maintain CI/CD pipelines using GitHub, Actions/Jenkins, Kubernetes, Helm, and ArgoCD.
• Deploy and manage Kubernetes clusters using AWS.
• Configure and maintain Envoy Proxy and Cert-Manager to automate deployment and manage application environments.
• Monitor system performance using Datadog, ELK, and Cloudflare tools.
• Automate infrastructure management and maintenance tasks using Terraform, Ansible, or similar tools.
• Collaborate with development teams to design, implement and test infrastructure changes.
• Troubleshoot and resolve infrastructure issues as they arise.
• Participate in on-call rotation and provide support for production issues.
Qualifications:
• Bachelor's or Master's degree in Computer Science, Engineering or a related field.
• 4+ years of experience in DevOps engineering with a focus on Linux, GitHub, Actions/CodeFresh, ArgoCD, AWS, Kubernetes, Helm, Datadog, MongoDB, Envoy Proxy, Cert-Manager, Terraform, ELK, Cloudflare, and BigRock.
• Strong understanding of Linux administration and shell scripting.
• Experience with automation tools such as Terraform, Ansible, or similar.
• Ability to write infrastructure as code using tools such as Terraform, Ansible, or similar.
• Experience with container orchestration platforms such as Kubernetes.
• Familiarity with container technologies such as Docker.
• Experience with cloud providers such as AWS.
• Experience with monitoring tools such as Datadog and ELK.
Skills:
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Ability to work independently or in a team environment.
• Strong attention to detail.
• Ability to learn and apply new technologies quickly.
• Ability to work in a fast-paced and dynamic environment.
• Strong understanding of DevOps principles and methodologies.
Kindly apply at https://www.wohlig.com/careers
KubernetesDockerAmazon Web Services (AWS)- Responsible for building, managing, and maintaining deployment pipelines and developing self-service tooling formanaging Git, Linux, Kubernetes, Docker, CI/CD & Pipelining etc in cloud infrastructure
- Responsible for building and managing DevOps agile tool chain with
- Responsible for working as an integrator between developer teams and various cloud infrastructures.
Section 2
- Responsibilities include helping the development team with best practices, provisioning monitoring, troubleshooting, optimizing and tuning, automating and improving deployment and release processes.
Section 3
- Responsible for maintaining application security with perioding tracking and upgrading package dependencies in coordination with respective developer teams .
- Responsible for packaging and containerization of deploy units and strategizing it in coordination with developer team
Section 4
- Setting up tools and required infrastructure. Defining and setting development, test, release, update, and support processes for DevOps operation
- Responsible for documentation of the process.
- Responsible for leading projects with end to end execution
Qualification: Bachelors of Engineering /MCA Preferably with AWS Cloud certification
Ideal Candidate -
- is experienced between 2-4 years with AWS certification and DevOps
experience.
- age less than 30 years, self-motivated and enthusiastic.
- is interested in building a sustainable DevOps platform with maximum
automation
- is interested in learning and being challenged on day to day basis.
- who can take ownership of the tasks and is willing to take the necessary
action to get it done.
- who can solve complex problems.
- who is honest with their quality of work and is comfortable with taking
ownership of their success and failure, Both
DockerKubernetesAmazon Web Services (AWS)Kutumb is the first and largest communities platform for Bharat. We are growing at an exponential trajectory. More than 1 Crore users use Kutumb to connect with their community. We are backed by world-class VCs and angel investors. We are growing and looking for exceptional Infrastructure Engineers to join our Engineering team.
More on this here - https://kutumbapp.com/why-join-us.html">https://kutumbapp.com/why-join-us.html
We’re excited if you have:
- Recent experience designing and building unified observability platforms that enable companies to use the sometimes-overwhelming amount of available data (metrics, logs, and traces) to determine quickly if their application or service is operating as desired
- Expertise in deploying and using open-source observability tools in large-scale environments, including Prometheus, Grafana, ELK (ElasticSearch + Logstash + Kibana), Jaeger, Kiali, and/or Loki
- Familiarity with open standards like OpenTelemetry, OpenTracing, and OpenMetrics
- Familiarity with Kubernetes and Istio as the architecture on which the observability platform runs, and how they integrate and scale. Additionally, the ability to contribute improvements back to the joint platform for the benefit of all teams
- Demonstrated customer engagement and collaboration skills to curate custom dashboards and views, and identify and deploy new tools, to meet their requirements
- The drive and self-motivation to understand the intricate details of a complex infrastructure environment
- Using CICD tools to automatically perform canary analysis and roll out changes after passing automated gates (think Argo & keptn)
- Hands-on experience working with AWS
- Bonus points for knowledge of ETL pipelines and Big data architecture
- Great problem-solving skills & takes pride in your work
- Enjoys building scalable and resilient systems, with a focus on systems that are robust by design and suitably monitored
- Abstracting all of the above into as simple of an interface as possible (like Knative) so developers don't need to know about it unless they choose to open the escape hatch
What you’ll be doing:
- Design and build automation around the chosen tools to make onboarding new services easy for developers (dashboards, alerts, traces, etc)
- Demonstrate great communication skills in working with technical and non-technical audiences
- Contribute new open-source tools and/or improvements to existing open-source tools back to the CNCF ecosystem
Tools we use:
Kops, Argo, Prometheus/ Loki/ Grafana, Kubernetes, AWS, MySQL/ PostgreSQL, Apache Druid, Cassandra, Fluentd, Redis, OpenVPN, MongoDB, ELK
What we offer:
- High pace of learning
- Opportunity to build the product from scratch
- High autonomy and ownership
- A great and ambitious team to work with
- Opportunity to work on something that really matters
- Top of the class market salary and meaningful ESOP ownership
DockerKubernetesAmazon Web Services (AWS)- Hands-on knowledge on various CI-CD tools (Jenkins/TeamCity, Artifactory, UCD, Bitbucket/Github, SonarQube) including setting up of build-deployment automated pipelines.
- Very good knowledge in scripting tools and languages such as Shell, Perl or Python , YAML/Groovy, build tools such as Maven/Gradle.
- Hands-on knowledge in containerization and orchestration tools such as Docker, OpenShift and Kubernetes.
- Good knowledge in configuration management tools such as Ansible, Puppet/Chef and have worked on setting up of monitoring tools (Splunk/Geneos/New Relic/Elk).
- Expertise in job schedulers/workload automation tools such as Control-M or AutoSys is good to have.
- Hands-on knowledge on Cloud technology (preferably GCP) including various computing services and infrastructure setup using Terraform.
- Should have basic understanding on networking, certificate management, Identity and Access Management and Information security/encryption concepts.
- • Should support day-to-day tasks related to platform and environments upkeep such as upgrades, patching, migration and system/interfaces integration.
- • Should have experience in working in Agile based SDLC delivery model, multi-task and support multiple systems/apps.
- • Big-data and Hadoop ecosystem knowledge is good to have but not mandatory.
- Should have worked on standard release, change and incident management tools such as ServiceNow/Remedy or similar
DockerKubernetesAmazon Web Services (AWS)• Hands-on experience in Azure.
• Build and maintain CI/CD tools and pipelines.
• Designing and managing highly scalable, reliable, and fault-tolerant infrastructure & networking that forms the backbone of distributed systems at RARA Now.
• Continuously improve code quality, product execution, and customer delight.
• Communicate, collaborate and work effectively across distributed teams in a global environment.
• Operate to strengthen teams across their product with their knowledge base
• Contribute to improving team relatedness, and help build a culture of camaraderie.
• Continuously refactor applications to ensure high-quality design
• Pair with team members on functional and non-functional requirements and spread design philosophy and goals across the team
• Excellent bash, and scripting fundamentals and hands-on with scripting in programming languages such as Python, Ruby, Golang, etc.
• Good understanding of distributed system fundamentals and ability to troubleshoot issues in a larger distributed infrastructure
• Working knowledge of the TCP/IP stack, internet routing, and load balancing
• Basic understanding of cluster orchestrators and schedulers (Kubernetes)
• Deep knowledge of Linux as a production environment, and container technologies. e.g., Docker, Infrastructure as Code such as Terraform, and K8s administration at large scale.
• Have worked on production distributed systems and have an understanding of microservices architecture, RESTful services, and CI/CD.
DockerKubernetesAmazon Web Services (AWS)Responsibilities
● Be a hands-on engineer, ensure frameworks/infrastructure built is well designed,
scalable & are of high quality.
● Build and/or operate platforms that are highly available, elastic, scalable, operable and
observable.
● Build/Adapt and implement tools that empower the TI AI engineering teams to
self-manage the infrastructure and services owned by them.
● You will identify, articulate, and lead various long-term tech vision, strategies,
cross-cutting initiatives and architecture redesigns.
● Design systems and make decisions that will keep pace with the rapid growth of TI AI.
● Document your work and decision-making processes, and lead presentations and
discussions in a way that is easy for others to understand.
● Available for on-call during emergencies to handle and resolve problems in a quick and
efficient manner.
Requirements
● 2+ years of Hands-on experience as a DevOps / Infrastructure engineer with AWS and
Kubernetes or similar infrastructure platforms. (preferably AWS)
● Hands-on with DevOps principles and practices ( Everything-as-a-code, CI/CD, Test
everything, proactive monitoring etc).
● Experience in building and operating distributed systems.
● Understanding of operating systems, virtualization, containerization and networks
preferable
● Hands-on coding on any of the languages like Python or GoLang.
● Familiarity with software engineering practices including unit testing, code reviews, and
design documentation.
● Strong debugging and problem-solving skills Curiosity about how things work and love to
share that knowledge with others.
Benefits :
● Work with a world class team working on a very forward looking problem
● Competitive Pay
● Flat hierarchy
● Health insurance for the family
KubernetesDockerAmazon Web Services (AWS)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?
1. Best practices are overrated
○ Implementing best practices can only make one n ‘average’ .
2. Honesty and Transparency
○ We believe in naked truth. We do what we tell and tell what we do.
3. 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.
1. Humble: Happy people don’t carry ego around. We listen to understand; not to
respond.
2. Adaptable: We are comfortable with uncertainty. And we accept changes well. As
that’s what life's about.
3. 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.
4. 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.
5. Innovative: Innovate or Die. We love to challenge the status quo.
6. Experimental: We encourage curiosity & making mistakes.
7. Responsible: Driven. Self motivated. Self governing teams. We own it.
Are you the one? Quick self-discovery test:
1. 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.
2. 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.
3. Compassion for customers: You listen more than you speak. When you do speak,
people feel the need to listen.
4. 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.
1. 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.
2. Continually augment skills and learn new tech as the technology and client needs
evolve
3. Use your experience in Google cloud platform, AWS or Microsoft Azure to build
hybrid-cloud solutions for customers.
4. Provide leadership to project teams, and facilitate the definition of project
deliverables around core Cloud based technology and methods.
5. Define tracking mechanisms and ensure IT standards and methodology are met;
deliver quality results.
6. Participate in technical reviews of requirements, designs, code and other artifacts
7. Identify and keep abreast of new technical concepts in google cloud platform
8. Security, Risk and Compliance - Advise customers on best practices around access
management, network setup, regulatory compliance and related areas.
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.
1. Is Education overrated? Yes. We believe so. However there is no way to locate you
otherwise. So unfortunately we might have to look for a Bachelor's or Master's
degree in engineering from a reputed institute or you should be programming from
12. And the latter is better. We will find you faster if you specify the latter in some
manner. Not just degree, but we are not too thrilled by tech certifications too ... :)
2. 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!
3. 1 - 5 years of experience with at least 2 - 3 years of hands-on experience in Cloud
Computing (AWS/GCP/Azure) and IT operational experience in a global enterprise
environment.
4. Good analytical, communication, problem solving, and learning skills.
5. Knowledge on programming against cloud platforms such as Google Cloud Platf
Amazon Web Services (AWS)• Bachelor or Master Degree in Computer Science, Software Engineering from a reputed
University.
• 5 - 8 Years of experience in building scalable, secure and compliant systems.
• More than 2 years of experience in working with GCP deployment for millions of daily visitors
• 5+ years hosting experience in a large heavy-traffic environment
• 5+ years production application support experience in a high uptime environment
• Software development and monitoring knowledge with Automated builds
• Technology:
o Cloud: AWS or Google Cloud
o Source Control: Gitlab or Bitbucket or Github
o Container Concepts: Docker, Microservices
o Continuous Integration: Jenkins, Bamboos
o Infrastructure Automation: Puppet, Chef or Ansible
o Deployment Automation: Jenkins, VSTS or Octopus Deploy
o Orchestration: Kubernets, Mesos, Swarm
o Automation: Node JS or Python
o Linux environment network administration, DNS, firewall and security management
• Ability to be adapt to the startup culture, handle multiple competing priorities, meet
deadlines and troubleshoot problems.
Machine Learning (ML)Kubernetes
PythonDevOps 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
Amazon Web Services (AWS)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon