

Bachelor’s degree in computer science, computer engineering or similar. • Previous work experience as an Angular developer. • Proficient in CSS, HTML, and writing cross-browser compatible code. • Experience using JavaScript building tools like Gulp or Grunt. • Knowledge of JavaScript MV-VM/MVC frameworks including Angular Ionic. • Excellent project management skills. • Proven experience implementing front-end and back-end JavaScript applications. • Excellent communication skills. • Critical thinker and good problem-solver. Responsibilities: • Designing and developing user interfaces using angular best practices. • Adapting interface for modern internet applications using the latest front-end technologies. • Writing JavaScript, CSS, and HTML. • Developing product analysis tasks. • Making complex technical and design decisions for Angular projects. • Developing application codes and unit tests in Angular, Java Technologies, and Rest Web Services. • Conducting performance tests. • Consulting with the design team. • Ensuring high performance of applications and providing support • Prior experience Windows & Web Based Applications Products Web: Opinionest Google Play Store: Opinionest

About Track Opinion
About
Similar jobs
- 2+ years in a DevOps/SRE/System Engineering role
- Hands-on experience with Linux-based systems
- Experience with cloud platforms like AWS, GCP, or Azure
- Proficient in scripting (Bash, Python, or Go)
- Experience with monitoring tools (Prometheus, Grafana, ELK, Datadog, etc.)
- Knowledge of containerization (Docker, Kubernetes)
- Familiarity with Git and CI/CD tools (Jenkins, GitLab CI, etc.)
- 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
We are looking for very hands-on DevOps engineers with 3 to 6 years of experience. The person will be part of a team that is responsible for designing & implementing automation from scratch for medium to large scale cloud infrastructure and providing 24x7 services to our North American / European customers. This also includes ensuring ~100% uptime for almost 50+ internal sites. The person is expected to deliver with both high speed and high quality as well as work for 40 hours per week (~6.5 hours per day, 6 days per week) in shifts that will rotate every month.
This person MUST have:
-
B.E Computer Science or equivalent
-
2+ Years of hands-on experience troubleshooting/setting up of the Linux environment, who can write shell scripts for any given requirement.
-
1+ Years of hands-on experience setting up/configuring AWS or GCP services from SCRATCH and maintaining them.
-
1+ Years of hands-on experience setting up/configuring Kubernetes & EKS and ensuring high availability of container orchestration.
-
1+ Years of hands-on experience setting up CICD from SCRATCH in Jenkins & Gitlab.
-
Experience configuring/maintaining one monitoring tool.
-
Excellent verbal & written communication skills.
-
Candidates with certifications - AWS, GCP, CKA, etc will be preferred
-
Hands-on experience with databases (Cassandra, MongoDB, MySQL, RDS).
Experience:
-
Min 3 years of experience as DevOps automation engineer buildingg, running, and maintaining production sites.
-
Not looking for candidates who have experience only as L1/L2 or Build & Deploy.
Location: Remotely, anywhere in India.
Timings:
-
The person is expected to deliver with both high speed and high quality as well as work for 40 hours per week (~6.5 hours per day, 6 days per week) in shifts that will rotate every month.
Position:
-
Full time/Direct
-
We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
-
We dont believe in locking in people with large notice periods. You will stay here because you love the company. We have only a 15 days notice period.
Key Sills Required for Lead DevOps Engineer
Containerization Technologies
Docker, Kubernetes, OpenShift
Cloud Technologies
AWS/Azure, GCP
CI/CD Pipeline Tools
Jenkins, Azure Devops
Configuration Management Tools
Ansible, Chef,
SCM Tools
Git, GitHub, Bitbucket
Monitoring Tools
New Relic, Nagios, Prometheus
Cloud Infra Automation
Terraform
Scripting Languages
Python, Shell, Groovy
· Ability to decide the Architecture for the project and tools as per the availability
· Sound knowledge required in the deployment strategies and able to define the timelines
· Team handling skills are a must
· Debugging skills are an advantage
· Good to have knowledge of Databases like Mysql, Postgresql
It is advantageous to be familiar with Kafka. RabbitMQ
· Good to have knowledge of Web servers to deploy web applications
· Good to have knowledge of Code quality checking tools like SonarQube and Vulnerability scanning
· Advantage to having experience in DevSecOps
Note: Tools mentioned in bold are a must and others are added advantage
MLOps 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
Technical Experience/Knowledge Needed :
- Cloud-hosted services environment.
- Proven ability to work in a Cloud-based environment.
- Ability to manage and maintain Cloud Infrastructure on AWS
- Must have strong experience in technologies such as Dockers, Kubernetes, Functions, etc.
- Knowledge in orchestration tools Ansible
- Experience with ELK Stack
- Strong knowledge in Micro Services, Container-based architecture and the corresponding deployment tools and techniques.
- Hands-on knowledge of implementing multi-staged CI / CD with tools like Jenkins and Git.
- Sound knowledge on tools like Kibana, Kafka, Grafana, Instana and so on.
- Proficient in bash Scripting Languages.
- Must have in-depth knowledge of Clustering, Load Balancing, High Availability and Disaster Recovery, Auto Scaling, etc.
-
AWS Certified Solutions Architect or/and Linux System Administrator
- Strong ability to work independently on complex issues
- Collaborate efficiently with internal experts to resolve customer issues quickly
- No objection to working night shifts as the production support team works on 24*7 basis. Hence, rotational shifts will be assigned to the candidates weekly to get equal opportunity to work in a day and night shifts. But if you get candidates willing to work the night shift on a need basis, discuss with us.
- Early Joining
- Willingness to work in Delhi NCR
We are looking for a full-time remote DevOps Engineer who has worked with CI/CD automation, big data pipelines and Cloud Infrastructure, to solve complex technical challenges at scale that will reshape the healthcare industry for generations. You will get the opportunity to be involved in the latest tech in big data engineering, novel machine learning pipelines and highly scalable backend development. The successful candidates will be working in a team of highly skilled and experienced developers, data scientists and CTO.
Job Requirements
- Experience deploying, automating, maintaining, and improving complex services and pipelines • Strong understanding of DevOps tools/process/methodologies
- Experience with AWS Cloud Formation and AWS CLI is essential
- The ability to work to project deadlines efficiently and with minimum guidance
- A positive attitude and enjoys working within a global distributed team
Skills
- Highly proficient working with CI/CD and automating infrastructure provisioning
- Deep understanding of AWS Cloud platform and hands on experience setting up and maintaining with large scale implementations
- Experience with JavaScript/TypeScript, Node, Python and Bash/Shell Scripting
- Hands on experience with Docker and container orchestration
- Experience setting up and maintaining big data pipelines, Serverless stacks and containers infrastructure
- An interest in healthcare and medical sectors
- Technical degree with 4 plus years’ infrastructure and automation experience
Engineering group to plan ongoing feature development, product maintenance.
• Familiar with Virtualization, Containers - Kubernetes, Core Networking, Cloud Native
Development, Platform as a Service – Cloud Foundry, Infrastructure as a Service, Distributed
Systems etc
• Implementing tools and processes for deployment, monitoring, alerting, automation, scalability,
and ensuring maximum availability of server infrastructure
• Should be able to manage distributed big data systems such as hadoop, storm, mongoDB,
elastic search and cassandra etc.,
• Troubleshooting multiple deployment servers, Software installation, Managing licensing etc,.
• Plan, coordinate, and implement network security measures in order to protect data, software, and
hardware.
• Monitor the performance of computer systems and networks, and to coordinate computer network
access and use.
• Design, configure and test computer hardware, networking software, and operating system
software.
• Recommend changes to improve systems and network configurations, and determine hardware or
software requirements related to such changes.



