KaiOS is a mobile operating system for smart feature phones that stormed the scene to become the 3rd largest mobile OS globally (2nd in India ahead of iOS). We are on 100M+ devices in 100+ countries. We recently closed a Series B round with Cathay Innovation, Google and TCL.
What we are looking for:
- BE/B-Tech in Computer Science or related discipline
- 3+ years of overall commercial DevOps / infrastructure experience, cross-functional delivery-focused agile environment; previous experience as a software engineer and ability to see into and reason about the internals of an application a major plus
- Extensive experience designing, delivering and operating highly scalable resilient mission-critical backend services serving millions of users; experience operating and evolving multi-regional services a major plus
- Strong engineering skills; proficiency in programming languages
- Experience in Infrastructure-as-code tools, for example Terraform, CloudFormation
- Proven ability to execute on a technical and product roadmap
- Extensive experience with iterative development and delivery
- Extensive experience with observability for operating robust distributed systems – instrumentation, log shipping, alerting, etc.
- Extensive experience with test and deployment automation, CI / CD
- Extensive experience with infrastructure-as-code and tooling, such as Terraform
- Extensive experience with AWS, including services such as ECS, Lambda, DynamoDB, Kinesis, EMR, Redshift, Elasticsearch, RDS, CloudWatch, CloudFront, IAM, etc.
- Strong knowledge of backend and web technology; infrastructure experience with at-scale modern data technology a major plus
- Deep expertise in server-side security concerns and best practices
- Fluency with at least one programming language. We mainly use Golang, Python and JavaScript so far
- Outstanding analytical thinking, problem solving skills and attention to detail
- Excellent verbal and written communication skills
Requirements
Designation: DevOps Engineer
Location: Bangalore OR Hongkong
Experience: 4 to 7 Years
Notice period: 30 days or Less
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Experience - 2+ Years
Requirements:
● Should have at least 2+ years of DevOps experience
● Should have experience with Kubernetes
● Should have experience with Terraform/Helm
● Should have experience in building scalable server-side systems
● Should have experience in cloud infrastructure and designing databases
● Having experience with NodeJS/TypeScript/AWS is a bonus
● Having experience with WebRTC is a bonus
Looking out for GCP Devop's Engineer who can join Immediately or within 15 days
Job Summary & Responsibilities:
Job Overview:
You will work in engineering and development teams to integrate and develop cloud solutions and virtualized deployment of software as a service product. This will require understanding the software system architecture function as well as performance and security requirements. The DevOps Engineer is also expected to have expertise in available cloud solutions and services, administration of virtual machine clusters, performance tuning and configuration of cloud computing resources, the configuration of security, scripting and automation of monitoring functions. This position requires the deployment and management of multiple virtual clusters and working with compliance organizations to support security audits. The design and selection of cloud computing solutions that are reliable, robust, extensible, and easy to migrate are also important.
Experience:
Experience working on billing and budgets for a GCP project - MUST
Experience working on optimizations on GCP based on vendor recommendations - NICE TO HAVE
Experience in implementing the recommendations on GCP
Architect Certifications on GCP - MUST
Excellent communication skills (both verbal & written) - MUST
Excellent documentation skills on processes and steps and instructions- MUST
At least 2 years of experience on GCP.
Basic Qualifications:
● Bachelor’s/Master’s Degree in Engineering OR Equivalent.
● Extensive scripting or programming experience (Shell Script, Python).
● Extensive experience working with CI/CD (e.g. Jenkins).
● Extensive experience working with GCP, Azure, or Cloud Foundry.
● Experience working with databases (PostgreSQL, elastic search).
● Must have 2 years of minimum experience with GCP certification.
Benefits :
● Competitive salary.
● Work from anywhere.
● Learning and gaining experience rapidly.
● Reimbursement for basic working set up at home.
● Insurance (including top-up insurance for COVID).
Location :
Remote - work from anywhere.
5 to 10 years of software development & coding experience
Experience with Infrastructure as Code development (Automation, CICD) AWS CloudFormation, AWS CodeBuild, CodeDeploy are a must have.
Experience troubleshooting AWS policy or permissions related errors during resource deployments \
Programming experience; preferred Python, PowerShell, bash development experience \
Have Experience with application build automation tools like Apache Maven, Jenkins, Concourse, and Git supporting continuous integration / continuous deployment capabilities (CI/CD) à GitHub and GitHub actions for deployments are must-have skills (Maven, Jenkins, etc. are nice to have)
Have configuration management experience (Chef, Puppet, or Ansible)
Worked in a Development Shop or have SDLC hands on Experience
Familiar with how to write software, test plans, automate and release using modern development methods
AWS certified at an appropriate level
Responsibilities
● Work with application development teams to identify and understand their operational pain points.
● Document these challenges and define goals to be achieved by the infrastructure team.
● Prototype and evaluate multiple solutions, often by experimenting with various vendors and tools available, to achieve the goals undertaken.
● Rollout tools and processes with heavy focus on automation.
● Evangelize and help onboard application development teams on the platforms provided by the infrastructure team.
● Co-own the responsibility with application development teams to ensure the reliability of services.
● Design and implement solutions around observability to ensure ease of maintenance and quick debugging of services
● Establish and implement administrative and operational best practices in the application development teams.
● Find avenues to reduce infrastructure costs and drive optimization in all services.
Qualifications
● 5+ years of experience as a DevOps / Infrastructure engineer with cloud platforms (preferably AWS)
● Experience with git, CI / CD, Docker, etc
● Experience in working with infrastructure as code (Terraform, etc).
● Strong Linux Shell scripting experience
● Experience with one of the programming languages like Python, Java, Kotlin, etc.
You will be responsible for:
- Managing all DevOps and infrastructure for Sizzle
- We have both cloud and on-premise servers
- Work closely with all AI and backend engineers on processing requirements and managing both development and production requirements
- Optimize the pipeline to ensure ultra fast processing
- Work closely with management team on infrastructure upgrades
You should have the following qualities:
- 3+ years of experience in DevOps, and CI/CD
- Deep experience in: Gitlab, Gitops, Ansible, Docker, Grafana, Prometheus
- Strong background in Linux system administration
- Deep expertise with AI/ML pipeline processing, especially with GPU processing. This doesn’t need to include model training, data gathering, etc. We’re looking more for experience on model deployment, and inferencing tasks at scale
- Deep expertise in Python including multiprocessing / multithreaded applications
- Performance profiling including memory, CPU, GPU profiling
- Error handling and building robust scripts that will be expected to run for weeks to months at a time
- Deploying to production servers and monitoring and maintaining the scripts
- DB integration including pymongo and sqlalchemy (we have MongoDB and PostgreSQL databases on our backend)
- Expertise in Docker-based virtualization including - creating & maintaining custom Docker images, deployment of Docker images on cloud and on-premise services, monitoring of production Docker images with robust error handling
- Expertise in AWS infrastructure, networking, availability
Optional but beneficial to have:
- Experience with running Nvidia GPU / CUDA-based tasks
- Experience with image processing in python (e.g. openCV, Pillow, etc)
- Experience with PostgreSQL and MongoDB (Or SQL familiarity)
- Excited about working in a fast-changing startup environment
- Willingness to learn rapidly on the job, try different things, and deliver results
- Bachelors or Masters degree in computer science or related field
- Ideally a gamer or someone interested in watching gaming content online
Skills:
DevOps, Ansible, CI/CD, GitLab, GitOps, Docker, Python, AWS, GCP, Grafana, Prometheus, python, sqlalchemy, Linux / Ubuntu system administration
Seniority: We are looking for a mid to senior level engineer
Salary: Will be commensurate with experience.
Who Should Apply:
If you have the right experience, regardless of your seniority, please apply.
Work Experience: 3 years to 6 years
About us:
HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.
We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.
To know more, Visit! - https://www.happyfox.com/
Responsibilities:
- Build and scale production infrastructure in AWS for the HappyFox platform and its products.
- Research, Build/Implement systems, services and tooling to improve uptime, reliability and maintainability of our backend infrastructure. And to meet our internal SLOs and customer-facing SLAs.
- Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
- Proficient in writing automation scripts or building infrastructure tools using Python/Ruby/Bash/Golang
- Implement consistent observability, deployment and IaC setups
- Patch production systems to fix security/performance issues
- Actively respond to escalations/incidents in the production environment from customers or the support team
- Mentor other Infrastructure engineers, review their work and continuously ship improvements to production infrastructure.
- Build and manage development infrastructure, and CI/CD pipelines for our teams to ship & test code faster.
- Participate in infrastructure security audits
Requirements:
- At least 5 years of experience in handling/building Production environments in AWS.
- At least 2 years of programming experience in building API/backend services for customer-facing applications in production.
- Demonstrable knowledge of TCP/IP, HTTP and DNS fundamentals.
- Experience in deploying and managing production Python/NodeJS/Golang applications to AWS EC2, ECS or EKS.
- Proficient in containerised environments such as Docker, Docker Compose, Kubernetes
- Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
- Proficient in writing automation scripts using any scripting language such as Python, Ruby, Bash etc.,
- Experience in setting up and managing test/staging environments, and CI/CD pipelines.
- Experience in IaC tools such as Terraform or AWS CDK
- Passion for making systems reliable, maintainable, scalable and secure.
- Excellent verbal and written communication skills to address, escalate and express technical ideas clearly
- Bonus points – if you have experience with Nginx, Postgres, Redis, and Mongo systems in production.
Job Description
Devops Engineer [4 to 5 yrs]
Job Description
We are looking for a DevOps engineer who knows Docker inside and out strong experience. They will be responsible for defining and implementing our containerisation technology strategies. They will also design our architecture and define our roadmap. In addition, the candidate will work on building, scaling, and monitoring various highly complex applications and making our container orchestration cluster highly available.
The candidate has to be an expert in Docker and containerisation technologies with knowledge of container orchestration tools like Kubernetes and logging/monitoring tools for these orchestration tools. They will also be responsible for building and improving our application CI/CD pipelines and keeping themselves and their team up-to-date with the latest industry trends and technologies.
Responsibilities:
· Implement and improve monitoring and alerting.
· Build and maintain highly available systems on Kubernetes.
· Implement and manage CI/CD pipelines.
· Implement an auto-scaling system for our Kubernetes nodes.
· Participate in on-call rotations.
Requirements:
· Operations or systems administration experience, particularly on Linux.
· Strong experience on Azure.
· Experience with container networking on Docker.
· Experience with container orchestration.
· Experience with monitoring tools like Prometheus, Grafana, etc.
· Experience with application deployment by using CI/CD.
· Nodejs experience/knowledge would be a perfect Add on.
Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.
Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.
Job Description :
- Extensive exp. with K8s (EKS/GKE) and k8s eco-system tooling e,g., Prometheus, ArgoCD, Grafana, Istio etc.
- Extensive AWS/GCP Core Infrastructure skills
- Infrastructure/ IAC Automation, Integration - Terraform
- Kubernetes resources engineering and management
- Experience with DevOps tools, CICD pipelines and release management
- Good at creating documentation(runbooks, design documents, implementation plans )
Linux Experience :
- Namespace
- Virtualization
- Containers
Networking Experience
- Virtual networking
- Overlay networks
- Vxlans, GRE
Kubernetes Experience :
Should have experience in bringing up the Kubernetes cluster manually without using kubeadm tool.
Observability
Experience in observability is a plus
Cloud automation :
Familiarity with cloud platforms exclusively AWS, DevOps tools like Jenkins, terraform etc.
- Proven experience in handling large infrastructure and distributed systems like Kafka, Yarn, Elastic Search, etc..
- Familiarity with Python-related technologies and frameworks like Django or Pyramid.
- Experience with Unix/Linux operating systems internals and administration (e.g. filesystems, inodes, system calls, etc) or networking (e.g. TCP/IP, routing, network topologies, and hardware, SDN, etc)
- Familiarity with at least one of the cloud computing infrastructures - GCP / Azure / AWS
- Familiarity with task queue frameworks like Celery or Pika is a plus.
- Source code management and Implementation of security best practices.
- Experienced in building monitoring/metrics & alerting tool (APM tool), a custom dashboard for each Application stack against the supported environment
- Good understanding & implementation experience using 12-factor App principles
- Awareness of Cloud Security concepts
- Awareness of Information Security concepts and Best Practices
2. Extensive expertise in the below in AWS Development.
3. Amazon Dynamo Db, Amazon RDS , Amazon APIs. AWS Elastic Beanstalk, and AWS Cloud Formation.
4. Lambda, Kinesis. CodeCommit ,CodePipeline.
5. Leveraging AWS SDKs to interact with AWS services from the application.
6. Writing code that optimizes performance of AWS services used by the application.
7. Developing with Restful API interfaces.
8. Code-level application security (IAM roles, credentials, encryption, etc.).
9. Programming Language Python or .NET. Programming with AWS APIs.
10. General troubleshooting and debugging.