Kubernetes
Docker
Amazon Web Services (AWS)As an Infrastructure Engineer at Navi, you will be building a resilient infrastructure platform, using modern Infrastructure engineering practices.
You will be responsible for the availability, scaling, security, performance and monitoring of the navi Cloud platform. You’ll be joining a team that follows best practices in infrastructure as code
Your Key Responsibilities
- Build out the Infrastructure components like API Gateway, Service Mesh, Service Discovery, container orchestration platform like kubernetes.
- Developing reusable Infrastructure code and testing frameworks
- Build meaningful abstractions to hide the complexities of provisioning modern infrastructure components
- Design a scalable Centralized Logging and Metrics platform
- Drive solutions to reduce Mean Time To Recovery(MTTR), enable High Availability.
What to Bring
- Good to have experience in managing large scale cloud infrastructure, preferable AWS and Kubernetes
- Experience in developing applications using programming languages like Java, Python and Go
- Experience in handling logs and metrics at a high scale.
- Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
Subodh Popalwar
Software Engineer, Memorres
About Navi Technologies
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KubernetesDocker
JenkinsAmazon Web Services (AWS)
Who you are
The possibility of having massive societal impact. Our software touches the lives of hundreds of millions of people.
Solving hard governance and societal challenges
Work directly with central and state government leaders and other dignitaries
Mentorship from world class people and rich ecosystems
Position : Architect or Technical Lead - DevOps
Location : Bangalore
Role:
Strong knowledge on architecture and system design skills for multi-tenant, multi-region, redundant and highly- available mission-critical systems.
Clear understanding of core cloud platform technologies across public and private clouds.
Lead DevOps practices for Continuous Integration and Continuous Deployment pipeline and IT operations practices, scaling, metrics, as well as running day-to-day operations from development to production for the platform.
Implement non-functional requirements needed for a world-class reliability, scale, security and cost-efficiency throughout the product development lifecycle.
Drive a culture of automation, and self-service enablement for developers.
Work with information security leadership and technical team to automate security into the platform and services.
Meet infrastructure SLAs and compliance control points of cloud platforms.
Define and contribute to initiatives to continually improve Solution Delivery processes.
Improve organisation’s capability to build, deliver and scale software as a service on the cloud
Interface with Engineering, Product and Technical Architecture group to meet joint objectives.
You are deeply motivated & have knowledge of solving hard to crack societal challenges with the stamina to see it all the way through.
You must have 7+ years of hands-on experience on DevOps, MSA and Kubernetes platform.
You must have 2+ years of strong kubernetes experience and must have CKA (Certified Kubernetes Administrator).
You should be proficient in tools/technologies involved for a microservices architecture and deployed in a multi cloud kubernetes environment.
You should have hands-on experience in architecting and building CI/CD pipelines from code check-in until production.
You should have strong knowledge on Dockers, Jenkins pipeline scripting, Helm charts, kubernetes objects and manifests, prometheus and demonstrate hands-on knowledge of multi cloud computing, storage and networking.
You should have experience in designing, provisioning and administrating using best practices across multiple public cloud offerings (Azure, AWS, GCP) and/or private cloud offerings ( OpenStack, VMware, Nutanix, NIC, bare metal Infra).
You should have experience in setting up logging, monitoring Cloud application performance, error rates, and error budgets while tracking adherence to SLOs and SLAs.
Amazon Web Services (AWS)At Egnyte we build and maintain our flagship software: a secure content platform used by companies like Red Bull and Yamaha.
We store, analyze, organize, and secure billions of files and petabytes of data with millions of users. We observe more than 1M API requests per minute on average. To make that possible and to provide the best possible experience, we rely on great engineers. For us, people who own their work from start to finish are integral. Our Engineers are part of the process from design to code, to test, to deployment, and back again for further iterations.
We have 300+ engineers spread across the US, Poland, and India.
You will be part of our DevOps Team working closely with our DBA team in automating, monitoring, and scaling our massive MySQL cluster. Previous MySQL experience is a plus.
Your day-to-day at Egnyte
- Designing, building, and maintaining cloud environments (using Terraform, Puppet or Kubernetes)
- Migrating services to cloud-based environments
- Collaborating with software developers and DBAs to create a reliable and scalable infrastructure for our product.
About you
- 2+ years of proven experience in a DevOps Engineer, System Administrator or Developer role, working on infrastructure or build processes
- Programming prowess (Python, Java, Ruby, Golang, or JavaScript)
- Experience with databases (MySQL or Postgress or RDS/Aurora or others)
- Experience with public cloud services (GCP/AWS/Azure)
- Good understanding of the Linux Operating System on the administration level
- Preferably you have experience with HA solutions: our tools of choice include Orchestrator, Proxysql, HAProxy, Corosync & Pacemaker, etc.
- Experience with metric-based monitoring solutions (Cloud: CloudWatch/Stackdriver, On-prem: InfluxDB/OpenTSDB/Prometheus)
- Drive to grow as a DevOps Engineer (we value open-mindedness and a can-do attitude)
DockerAmazon Web Services (AWS)KubernetesMultiplier enables companies to employ anyone, anywhere in a few clicks. Our
SaaS platform combines the multi-local complexities of hiring & paying employees
anywhere in the world, and automates everything. We are passionate about
creating a world where people can get a job they love, without having to leave the
people they love.
We are an early stage start up with a "Day one" attitude and we are building a
team that will make Multiplier the market leader in this space. Every day is an
exciting one at Multiplier right now because we are figuring out a real problem in
the market and building a first-of-its-kind product around it. We are looking for
smart and talented people who will add on to our collective energy and share the
same excitement in making Multiplier a big deal. We are headquartered in
Singapore, but our team is remote.
What will I be doing? 👩💻👨💻
Owning and managing our cloud infrastructure on AWS.
Working as part of product development from inception to launch, and own
deployment pipelines through to site reliability.
Ensuring a high availability production site with proper alerting, monitoring and
security in place.
Creating an efficient environment for product development teams to build, test
and deploy features quickly by providing multiple environments for testing and
staging.
Use infrastructure as code and the best of methods and tools in DevOps to
innovate and keep improving.
Create an automation culture and add automation to wherever it is needed..
DevOps Engineer Remote) 2
What do I need? 🤓
4 years of industry experience in a similar DevOps role, preferably as part of
a SaaS
product team. You can demonstrate the significant impact your work has had
on the product and/or the team.
Deep knowledge in AWS and the services available. 2 years of experience in
building complex architecture on cloud infrastructure.
Exceptional understanding of containerisation technologies and Docker. Have
had hands on experience with Kubernetes, AWS ECS and AWS EKS.
Experience with Terraform or any other infrastructure as code solutions.
Able to comfortably use at least one high level programming languages such
as Java, Javascript or Python. Hands on experiences of scripting in bash,
groovy and others.
Good understanding of security in web technologies and cloud infrastructure.
Work with and solve problems of very complex nature and enjoy doing it.
Willingness to quickly learn and use new technologies or frameworks.
Clear and responsive communication.
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
Amazon Web Services (AWS)- Experience using AWS (that’s just common sense)
- Experience designing and building web environments on AWS, which includes working with services like EC2, ELB, RDS, and S3
- Experience building and maintaining cloud-native applications
- A solid background in Linux/Unix and Windows server system administration
- Experience using https://www.simplilearn.com/tutorials/devops-tutorial/devops-tools" target="_blank">DevOps tools in a cloud environment, such as Ansible, Artifactory, https://www.simplilearn.com/tutorials/docker-tutorial/what-is-docker-container" target="_blank">Docker, GitHub, https://www.simplilearn.com/tutorials/jenkins-tutorial/what-is-jenkins" target="_blank">Jenkins, https://www.simplilearn.com/tutorials/kubernetes-tutorial/what-is-kubernetes" target="_blank">Kubernetes, Maven, and Sonar Qube
- Experience installing and configuring different application servers such as JBoss, Tomcat, and WebLogic
- Experience using monitoring solutions like CloudWatch, ELK Stack, and Prometheus
- An understanding of writing Infrastructure-as-Code (IaC), using tools like CloudFormation or Terraform
- Knowledge of one or more of the most-used programming languages available for today’s cloud computing (i.e., SQL data, XML data, R math, Clojure math, Haskell functional, Erlang functional, Python procedural, and Go procedural languages)
- Experience in troubleshooting distributed systems
- Proficiency in script development and scripting languages
- The ability to be a team player
- The ability and skill to train other people in procedural and technical topics
- Strong communication and collaboration skills
As a special aside, an AWS engineer who works in DevOps should also have experience with:
- The theory, concepts, and real-world application of Continuous Delivery (CD), which requires familiarity with tools like AWS CodeBuild, AWS CodeDeploy, and AWS CodePipeline
- An understanding of automation
DockerKubernetesAmazon Web Services (AWS)• Expertise in any one hyper-scale (AWS/AZURE/GCP), including basic services like networking, data and workload management.
o AWS
Networking: VPC, VPC Peering, Transit Gateway, RouteTables, SecurityGroups, etc.
Data: RDS, DynamoDB, ElasticSearch
Workload: EC2, EKS, Lambda, etc.
o Azure
Networking: VNET, VNET Peering,
Data: Azure MySQL, Azure MSSQL, etc.
Workload: AKS, VirtualMachines, AzureFunctions
o GCP
Networking: VPC, VPC Peering, Firewall, Flowlogs, Routes, Static and External IP Addresses
Data: Cloud Storage, DataFlow, Cloud SQL, Firestore, BigTable, BigQuery
Workload: GKE, Instances, App Engine, Batch, etc.
• Experience in any one of the CI/CD tools (Gitlab/Github/Jenkins) including runner setup, templating and configuration.
• Kubernetes experience or Ansible Experience (EKS/AKS/GKE), basics like pod, deployment, networking, service mesh. Used any package manager like helm.
• Scripting experience (Bash/python), automation in pipelines when required, system service.
• Infrastructure automation (Terraform/pulumi/cloudformation), write modules, setup pipeline and version the code.
Optional
• Experience in any programming language is not required but is appreciated.
• Good experience in GIT, SVN or any other code management tool is required.
• DevSecops tools like (Qualys/SonarQube/BlackDuck) for security scanning of artifacts, infrastructure and code.
• Observability tools (Opensource: Prometheus, Elasticsearch, OpenTelemetry; Paid: Datadog, 24/7, etc)
DockerKubernetes
Go Programming (Golang)Striim (pronounced “stream” with two i’s for integration and intelligence) was founded in 2012 with a simple goal of helping companies make data useful the instant it’s born.
Striim’s enterprise-grade, streaming integration with intelligence platform makes it easy to build continuous, streaming data pipelines – including change data capture (CDC) – to power real-time cloud integration, log correlation, edge processing, and streaming analytics
2 - 5 Years of Experience in any Programming any language (Polyglot Preferred ) & System Operations • Awareness of Devops & Agile Methodologies • Proficient in leveraging CI and CD tools to automate testing and deployment . • Experience in working in an agile and fast paced environment . • Hands on knowledge of at least one cloud platform (AWS / GCP / Azure). • Cloud networking knowledge: should understand VPC, NATs, and routers. • Contributions to open source is a plus. • Good written communication skills are a must. Contributions to technical blogs / whitepapers will be an added advantage.
DockerKubernetesAmazon Web Services (AWS)- Experience working in advanced iterative methodologies such as Agile and Safe.
- Experience with containers and orchestration (Docker, Kubernetes).
- Comfortable working in complex and demanding environments with high degree of change.
- Ability to view system perspective and to perform thorough investigations.
- Experience in frequent delivery to production.
- Microservice-based architecture (Jenkins, Docker, CI/CD, ELK)
- Experience with modern software components (Mongo, Elasticsearch, Kafka).
- Expertise in software development methodologies.
- Understanding of protocols/technologies like HTTP, SSL, LDAP, SSH, SAML, etc.
- Possession of a deep knowledge of development workflows with Git.
- Experience with MySQL or another relational database Environment.
- Automation testing (component, integration and end2end)
KubernetesDockerAmazon Web Services (AWS)- 5+ years hands-on experience with designing, deploying and managing core AWS services and infrastructure
- Proficiency in scripting using Bash, Python, Ruby, Groovy, or similar languages
- Experience in source control management, specifically with Git
- Hands-on experience in Unix/Linux and bash scripting
- Experience building, managing Helm-based build and release CI-CD pipelines for Kubernetes platforms (EKS, Openshift, GKE)
- Strong experience with orchestration and config management tools such as Terraform, Ansible or Cloudformation
- Ability to debug, analyze issues leveraging tools like App Dynamics, New Relic and Sumologic
- Knowledge of Agile Methodologies and principles
- Good writing and documentation skills
- Strong collaborator with the ability to work well with core teammates and our colleagues across STS
Amazon Web Services (AWS)Your skills and experience should cover:
-
5+ years of experience with developing, deploying, and debugging solutions on the AWS platform using ALL AWS services such as S3, IAM, Lambda, API Gateway, RDS, Cognito, Cloudtrail, CodePipeline, Cloud Formation, Cloudwatch and WAF (Web Application Firewall).
-
Amazon Web Services (AWS) Certified Developer: Associate, is required; Amazon Web Services (AWS) DevOps Engineer: Professional, preferred.
-
5+ years of experience using one or more modern programming languages (Python, Node.js).
-
Hands-on experience migrating data to the AWS cloud platform
-
Experience with Scrum/Agile methodology.
-
Good understanding of core AWS services, uses, and basic AWS architecture best practices (including security and scalability)
-
Experience with AWS Data Storage Tools.
-
Experience in Configure and implement AWS tools such as CloudWatch, CloudTrail and direct system logs for monitoring.
-
Experience working with GIT, or similar tools.
-
Ability to communicate and represent AWS Recommendations and Standards.
The following areas are highly advantageous:
-
Experience with Docker
-
Experience with PostgreSQL database
Follow CutshortSubodh Popalwar
Software Engineer, Memorres