Kubernetes
DockerYears: 5-9 Years
Job Responsibilities
Primary:
- Responsible for security road map for EPDM application
- Train the CI-CD team on the required technologies security adoptation
- Lead the upskill program within the team
- Support Application architect with right inputs on security processes and tools
- Help setup DevSecOps for EPDM.
- Find Security vulnerability in development process and sealed secretes
- Support in defining the Three-tier architecture.
Secondary:
- Coordination with different IT stakeholders as and when needed
- Suggestion and Implementation of further tool chains towards DevOps and GitOps
- Responsible to train the peer colleagues
Skills:
Mandatory skill:
- Expert knowledge of container solutions. Must have >3 years of experience working with networking & debugging within Docker and Kubernetes.
- Hands-on experience with Kubernetes workload deployments using Kustomize & Helm.
- Good understanding of Bitnami, Hashicorp and other secrete management tools
- SAST/DAST integration in CI/CD pipeline - design, implementation Expert knowledge of Source Control Systems, build & integration tools (e.g., GIT, Jenkins & Maven).
- Hands-on experience with designing the CI/CD architecture & building pipelines (on On-prem, Cloud & Hybrid infrastructure services).
- Experience with Security log management tools (e.g. Splunk ELK/EFK stack, Azure monitor or similar).
- Experience with monitoring tools like Prometheus-Grafana & Dynatrace.
- Experience with Infrastructure as a Service / Cloud computing (preferably Azure).
- Expert in writing automation scripts in Yaml, Unix shell, linux shell.
- Pulumi would be added advantage.
Shubham Vishwakarma
Full Stack Developer - Averlon
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DockerThe Key Responsibilities Include But Not Limited to:
Help identify and drive Speed, Performance, Scalability, and Reliability related optimization based on experience and learnings from the production incidents.
Work in an agile DevSecOps environment in creating, maintaining, monitoring, and automation of the overall solution-deployment.
Understand and explain the effect of product architecture decisions on systems.
Identify issues and/or opportunities for improvements that are common across multiple services/teams.
This role will require weekend deployments
Skills and Qualifications:
1. 3+ years of experience in a DevOps end-to-end development process with heavy focus on service monitoring and site reliability engineering work.
2. Advanced knowledge of programming/scripting languages (Bash, PERL, Python, Node.js).
3. Experience in Agile/SCRUM enterprise-scale software development including working with GiT, JIRA, Confluence, etc.
4. Advance experience with core microservice technology (RESTFul development).
5. Working knowledge of using Advance AI/ML tools are pluses.
6. Working knowledge in the one or more of the Cloud Services: Amazon AWS, Microsoft Azure
7. Bachelors or Master’s degree in Computer Science or equivalent related field experience
Key Behaviours / Attitudes:
Professional curiosity and a desire to a develop deep understanding of services and technologies.
Experience building & running systems to drive high availability, performance and operational improvements
Excellent written & oral communication skills; to ask pertinent questions, and to assess/aggregate/report the responses.
Ability to quickly grasp and analyze complex and rapidly changing systemsSoft skills
1. Self-motivated and self-managing.
2. Excellent communication / follow-up / time management skills.
3. Ability to fulfill role/duties independently within defined policies and procedures.
4. Ability to balance multi-task and multiple priorities while maintaining a high level of customer satisfaction is key.
5. Be able to work in an interrupt-driven environment.Work with Dori Ai world class technology to develop, implement, and support Dori's global infrastructure.
As a member of the IT organization, assist with the analyze of existing complex programs and formulate logic for new complex internal systems. Prepare flowcharting, perform coding, and test/debug programs. Develop conversion and system implementation plans. Recommend changes to development, maintenance, and system standards.
Leading contributor individually and as a team member, providing direction and mentoring to others. Work is non-routine and very complex, involving the application of advanced technical/business skills in a specialized area. BS or equivalent experience in programming on enterprise or department servers or systems.
LOCATION: - Remote (India)
EDUCATION AND EXPERIENCE -
Degree in computer science, software engineering, or a related field -
At least 3-5 years of professional work experience as a
DevOps / test automation / deployment engineer -
Experience in agile software development methodologies
JOB RESPONSIBILITIES: -
Design and development of scalable software test framework to automate test procedures - Perform health checks of existing sites periodically (manually and also developing a automation pipeline) - Manage per site software releases -
Generate release notes, user guides, technical documentation -
Perform upgrades/ downgrades (patch management) -
Generate and Manage configurations -
Suggest process improvements by interfacing with product owner -
File process/installation/deployment related issues & tracking them -
Verify customer-reported issues and translate them into technical tasks for development
REQUIREMENTS:
Following are must to have requirements, -
Automation frameworks like Selenium etc. -
Scripting languages like Perl, Python etc. -
Linux systems -
Version control system like git -
Issue tracking system like Jira -
Networking protocols -
Cloud infrastructure -
Ability to work individually and as part of a team with a sense of urgency -
Excellent communication skills in written and verbal English -
Great attention to detail
PREFERRED:
Following are good to have requirements, -
Knowledge in any of the programming languages like C, C++ etc.
Experience managing cloud-based (e.g., AWS, Google Cloud, etc.) and in-house server infrastructure -
Familiarity with machine learning / artificial intelligence infrastructure -
Experience in data visualization and statistics -
Basic knowledge of hardware infrastructure containing routers, switches and others -
Familiarity with web & data securityDesign and development of scalable software test framework to automate test
KubernetesDocker
JenkinsAs a MLOps Engineer in QuantumBlack you will:
Develop and deploy technology that enables data scientists and data engineers to build, productionize and deploy machine learning models following best practices. Work to set the standards for SWE and
DevOps practices within multi-disciplinary delivery teams
Choose and use the right cloud services, DevOps tooling and ML tooling for the team to be able to produce high-quality code that allows your team to release to production.
Build modern, scalable, and secure CI/CD pipelines to automate development and deployment
workflows used by data scientists (ML pipelines) and data engineers (Data pipelines)
Shape and support next generation technology that enables scaling ML products and platforms. Bring
expertise in cloud to enable ML use case development, including MLOps
Our Tech Stack-
We leverage AWS, Google Cloud, Azure, Databricks, Docker, Kubernetes, Argo, Airflow, Kedro, Python,
Terraform, GitHub actions, MLFlow, Node.JS, React, Typescript amongst others in our projects
Key Skills:
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
(Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security
• Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at
least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow,
Kubeflow)
• Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries
(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
• Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least
one common RDBMS (MySQL, Postgres, SQL Server, Oracle)
Amazon Web Services (AWS)DockerKubernetes- Must have a minimum of 3 years of experience in managing AWS resources and automating CI/CD pipelines.
- Strong scripting skills in PowerShell, Python or Bash be able to build and administer CI/CD pipelines.
- Knowledge of infrastructure tools like Cloud Formation, Terraform, Ansible.
- Experience with microservices and/or event-driven architecture.
- Experience using containerization technologies (Docker, ECS, Kubernetes, Mesos or Vagrant).
- Strong practical Windows and Linux system administration skills in the cloud.
- Understanding of DNS, NFS, TCP/IP and other protocols.
- Knowledge of secure SDLC, OWASP top 10 and CWE/SANS top 25.
- Deep understanding of Web Sockets and their functioning. Hands on experience of ElasticCache, Redis, ECS or EKS. Installation, configuration and management of Apache or Nginx web server, Apache/Tomcat Application Server, configure SSL certificates, setup reverse proxy.
- Exposure to RDBMS (MySQL, SQL Server, Aurora, etc.) is a plus.
- Exposure to programming languages like JAVA, PHP, SQL is a plus.
- AWS Developer or AWS SysOps Administrator certification is a plus.
- AWS Solutions Architect Certification experience is a plus.
- Experience building Blue/Green, Canary or other zero down time deployment strategies, advanced understanding of VPC, EC2 Route53 IAM, Lambda is a plus.
JenkinsDockerKubernetes
GitMLOps Engineer
Required Candidate profile :
- 3+ years’ experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins, Github Actions) and bringing ML models to CI/CD pipelines
- Candidate with strong Azure expertise
- Exposure of Productionize the models
- Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
- Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
- Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
- Proficient knowledge of git, Docker and containers, Kubernetes
- Familiarity with Terraform
- E2E production experience with Azure ML, Azure ML Pipelines
- Experience in Azure ML extension for Azure Devops
- Worked on Model Drift (Concept Drift, Data Drift preferable on Azure ML.)
- Candidate will be part of a cross-functional team that builds and delivers production-ready data science projects. You will work with team members and stakeholders to creatively identify, design, and implement solutions that reduce operational burden, increase reliability and resiliency, ensure disaster recovery and business continuity, enable CI/CD, optimize ML and AI services, and maintain it all in infrastructure as code everything-in-version-control manner.
- Candidate with strong Azure expertise
- Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
- Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
- Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
DockerKubernetesAmazon Web Services (AWS)Skills required:
Strong knowledge and experience of cloud infrastructure (AWS, Azure or GCP), systems, network design, and cloud migration projects.
Strong knowledge and understanding of CI/CD processes tools (Jenkins/Azure DevOps) is a must.
Strong knowledge and understanding of Docker & Kubernetes is a must.
Strong knowledge of Python, along with one more language (Shell, Groovy, or Java).
Strong prior experience using automation tools like Ansible, Terraform.
Architect systems, infrastructure & platforms using Cloud Services.
Strong communication skills. Should have demonstrated the ability to collaborate across teams and organizations.
Benefits of working with OpsTree Solutions:
Opportunity to work on the latest cutting edge tools/technologies in DevOps
Knowledge focused work culture
Collaboration with very enthusiastic DevOps experts
High growth trajectory
Opportunity to work with big shots in the IT industry
KubernetesDockerAmazon Web Services (AWS)Why you should join us
- You will join the mission to create positive impact on millions of peoples lives
- You get to work on the latest technologies in a culture which encourages experimentation - You get to work with super humans (Psst: Look up these super human1, super human2, super human3, super human4)
- You get to work in an accelerated learning environment
What you will do
- You will provide deep technical expertise to your team in building future ready systems.
- You will help develop a robust roadmap for ensuring operational excellence
- You will setup infrastructure on AWS that will be represented as code
- You will work on several automation projects that provide great developer experience
- You will setup secure, fault tolerant, reliable and performant systems
- You will establish clean and optimised coding standards for your team that are well documented
- You will set up systems in a way that are easy to maintain and provide a great developer experience
- You will actively mentor and participate in knowledge sharing forums
- You will work in an exciting startup environment where you can be ambitious and try new things :)
You should apply if
- You have a strong foundation in Computer Science concepts and programming fundamentals
- You have been working on cloud infrastructure setup, especially on AWS since 8+ years
- You have set up and maintained reliable systems that operate at high scale
- You have experience in hardening and securing cloud infrastructures
- You have a solid understanding of computer networking, network security and CDNs
- Extensive experience in AWS, Kubernetes and optionally Terraform
- Experience in building automation tools for code build and deployment (preferably in JS)
- You understand the hustle of a startup and are good with handling ambiguity
- You are curious, a quick learner and someone who loves to experiment
- You insist on highest standards of quality, maintainability and performance
- You work well in a team to enhance your impact
DockerAmazon Web Services (AWS)Job Description
We are looking to add DevOps Engineer to the Infra team.
Roles & Responsibilities
What you do :
- Developing automation for the various deployments core to our business
- Documenting run books for various processes / improving knowledge bases
- Identifying technical issues, communicating and recommending solutions
- Miscellaneous support (user account, VPN, network, etc)
- Develop continuous integration / deployment strategies
- Production systems deployment/monitoring/optimization
-
Management of staging/development environments
What you know :
- Ability to work with a wide variety of open source technologies and tools
- Ability to code/script (Python, Ruby, Bash)
- Experience with systems and IT operations
- Comfortable with frequent incremental code testing and deployment
- Strong grasp of automation tools (Chef, Packer, Ansible, or others)
- Experience with cloud infrastructure and bare-metal systems
- Experience optimizing infrastructure for high availability and low latencies
- Experience with instrumenting systems for monitoring and reporting purposes
- Well versed in software configuration management systems (git, others)
- Experience with cloud providers (AWS or other) and tailoring apps for cloud deployment
-
Data management skills
Education :
- Degree in Computer Engineering or Computer Science
- 1-3 years of equivalent experience in DevOps roles.
- Work conducted is focused on business outcomes
- Can work in an environment with a high level of autonomy (at the individual and team level)
-
Comfortable working in an open, collaborative environment, reaching across functional.
Our Offering :
- True start-up experience - no bureaucracy and a ton of tough decisions that have a real impact on the business from day one.
-
The camaraderie of an amazingly talented team that is working tirelessly to build a great OS for India and surrounding markets.
Perks :
- Awesome benefits, social gatherings, etc.
- Work with intelligent, fun, and interesting people in a dynamic start-up environment.
Eligibility
B.Tech/M.Tech/B.E
Company Introduction
Established in May 2015, Indus OS is a homebred system apps company, building India’s only content and commerce platform for users to discover and consume digital content & services in the language of their choice. With a vision of digitally connecting 1 Billion Indians, Indus OS is constantly striving to adapt its existing portfolio (App Store, Minus One Screen, Keyboard, Messenger, etc) by introducing new features to enrich the user experience in their native language.
Currently, Indus OS has a user base of over 12+ Million on the back of 10+ smartphone brand partnerships with leading OEMs such as Samsung, Gionee, iTel, Micromax, Intex, Karbonn, and others. The Indus platform is available in English & 23 Indian regional languages and is intended to digitally connect the next 1 billion people in the emerging markets.
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Azure, Azure AD, ADFS, Azure AD Connect, Microsoft Identity management |
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Azure, Architecture, solution designing, Subscription Design |
DockerKubernetes
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon