
About Healthifyme
About
Company video


Connect with the team
Similar jobs
Role - IT Cloud Engineer/ Devops
- Proficient in Linux.
- Hands on experience with AWS cloud or Google Cloud.
- Knowledge of container technology like Docker.
- Expertise in scripting languages. (Shell scripting or Python scripting)
- Working knowledge of LAMP/LEMP stack, networking and version control system like Gitlab or Github.
Job Description:
The incumbent would be responsible for:
- Deployment of various infrastructures on Cloud platforms like AWS, GCP, Azure, OVH etc.
- Server monitoring, analysis and troubleshooting.
- Deploying multi-tier architectures using microservices.
- Integration of Container technologies like Docker, Kubernetes etc as per application requirement.
- Automating workflow with python or shell scripting.
- CI and CD integration for application lifecycle management.
- Hosting and managing websites on Linux machines.
- Frontend, backend and database optimization.
- Protecting operations by keeping information confidential.
- Providing information by collecting, analyzing, summarizing development & service issues.
- Prepares & installs solutions by determining and designing system specifications, standards & programming.
On the Job
● Build and maintain scalable cloud infrastructure on AWS
● Improve CI/CD pipelines, deployment systems, and developer workflows
● Automate infrastructure provisioning using Infrastructure-as-Code (Terraform/Pulumi)
● Manage and optimize Kubernetes clusters and containerized workloads
● Improve observability across systems through monitoring, logging, and alerting
● Drive reliability initiatives including incident response, root cause analysis, and operational
improvements
● Collaborate with engineering teams to improve service scalability, performance, and security
● Implement IAM, secrets management, and infrastructure security best practices
● Optimize infrastructure costs and improve resource efficiency
● Actively leverage AI tools and workflows to improve engineering productivity and automation
Must Haves
● 3–6 years of experience in DevOps, Platform Engineering, or SRE roles
● Strong hands-on experience with AWS infrastructure and services
● Good understanding of Kubernetes, Docker, and container orchestration
● Experience with Infrastructure-as-Code tools like Terraform or Pulumi
● Strong scripting/coding skills in Python, Go, or Bash
● Experience building and maintaining CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI,
etc.)
● Understanding of networking fundamentals, Linux systems, and cloud security practices
● Familiarity with monitoring and observability tools like Prometheus, Grafana, ELK, Datadog,
etc.
● Strong debugging and problem-solving skills
● Ability to work independently in a fast-moving environment
Good To Haves
● Experience working in fintech or high-scale startup environments
● Exposure to service mesh, zero-trust security, or secrets management systems
● Experience with multi-cluster Kubernetes environments
● Familiarity with incident management, SLOs, and reliability engineering practices
● Experience building internal developer platforms or automation tooling
Key Responsibilities:
- Build and Automation: Utilize Gradle for building and automating software projects. Ensure efficient and reliable build processes.
- Scripting: Develop and maintain scripts using Python and Shell scripting to automate tasks and improve workflow efficiency.
- CI/CD Tools: Implement and manage Continuous Integration and Continuous Deployment (CI/CD) pipelines using tools such as Harness, Github Actions, Jenkins, and other relevant technologies. Ensure seamless integration and delivery of code changes.
- Cloud Platforms: Demonstrate proficiency in working with cloud platforms including OpenShift, Azure, and Google Cloud Platform (GCP). Deploy, manage, and monitor applications in cloud environments.
Share Cv to
Thirega@ vysystems dot com - WhatsApp - 91Five0033Five2Three
Location: Remote
Job Description :
- Strong hands-on knowledge on Azure DevOps.
- Mandatory Skills required :Azure Devops,docker,Kubernetes
- Skills required : Terraform,GIT,Jenkins,CI/CD,Pipelines,YAML,Scripting,Shell Scripting,Python, Gradle, Maven
- Require only developer experience profiles, and Admin roles are not required
Come Dive In
The DevOps Engineer will execute the tools and processes to enable DevOps.
Engage in and improve the whole lifecycle of services from inception and design through deployment, operation, and refinement to efficiently deliver high-quality solutions. The candidate should bridge the gap between Development and Operational teams, working with the development teams to meet acceptance criteria and gather and document the requirements. Candidates should be able to work in fast-paced,
multi-disciplinary environments.
As An DevOps Engineer, You Will
● Work in a dynamic, agile team environment developing excellent new applications.
● Participate in design decisions, including new technology research and prototyping
● Collaborate closely with other AWS engineers and architects, cloud engineers, support teams, and other stakeholders
● Promote great Kubernetes and AWS platform design and quality
● Innovate new ideas to evolve our applications and processes
● Continuously analyzing and evaluating our systems, products, and methods for potential improvements.
Mandatory Skills:
● Experience on Linux based infrastructure
● Experience in ECS - Amazon services*
● Should have hands-on containerized Services
● Must know about AWS CI/CD pipeline.
● Must know DevOps concepts and Agile principles
● Knowledge of Git, Docker, and Jenkins
● Knowledge of Infrastructure as Code.
● Experience in using Automation Tools
● Must have experience in Test Driven Development environment setup.
● Working knowledge of Docker and Kubernetes
We recognize that asking you to give 100% of yourself daily requires us to show you the love.
PERKS: what can we offer you?
● Bi-Yearly performance audits and appraisals
● The flexibility of working days/hours
● 5 working days/week (Mon to Fri) and added payout for working Saturday
● Recognition and Appreciation
● A plethora of industry exposure and self-growth opportunities
Visit our site: www.cedcoss.com
As 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)
DevOps Engineer
The DevOps team is one of the core technology teams of Lumiq.ai and is responsible for managing network activities, automating Cloud setups and application deployments. The team also interacts with our customers to work out solutions. If you are someone who is always pondering how to make things better, how technologies can interact, how various tools, technologies, and concepts can help a customer or how you can use various technologies to improve user experience, then Lumiq is the place of opportunities.
Job Description
- Explore about the newest innovations in scalable and distributed systems.
- Helps in designing the architecture of the project, solutions to the existing problems and future improvements to be done.
- Make the cloud infrastructure and services smart by implementing automation and trigger based solutions.
- Interact with Data Engineers and Application Engineers to create continuous integration and deployment frameworks and pipelines.
- Playing around with large clusters on different clouds to tune your jobs or to learn.
- Researching about new technologies, proving the concepts and planning how to integrate or update.
- Be part of discussions of other projects to learn or to help.
Responsibilities
- 2+years of experience as DevOps Engineer.
- You understand actual networking to Software defined networking.
- You like containers and open source orchestration system like Kubernetes, Mesos.
- Should have experience to secure system by creating robust access policy and network restrictions enforcement.
- Should have knowledge about how applications work are very important to design distributed systems.
- Should have experience to open source projects and have discussed the shortcomings or problems with the community on several occasions.
- You understand that provisioning a Virtual Machine is not DevOps.
- You know you are not a SysAdmin but DevOps Engineer who is the person behind developing operations for the system to run efficiently and scalably.
- Exposure on Private Cloud, Subnets, VPNs, Peering, Load Balancers and have worked with them.
- You check logs before screaming about error.
- Multiple Screens makes you more efficient.
- You are a doer who don’t say the word impossible.
- You understand the value of documentation of your work.
- You understand the Big Data ecosystem and how can you leverage cloud for it.
- You know these buddies - #airflow, #aws, #azure, #gcloud, #docker, #kubernetes, #mesos, #acs
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 SRE automation engineer building, running, and maintaining production sites. Not looking for candidates who have experience only as L1/L2.
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 which 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.
- Works independently without any supervision
- Work on continuous improvement of the products through innovation and learning. Someone with a knack for benchmarking and optimization
- Experience in deploying highly complex, distributed transaction processing systems.
- Stay abreast with new innovations and the latest technology trends and explore ways of leveraging these for improving the product in alignment with the business.
- As a component owner, where the component impacts across multiple platforms (5-10-member team), work with customers to obtain their requirements and deliver the end-to-end project.
Required Experience, Skills, and Qualifications
- 5+ years of experience as a DevOps Engineer. Experience with the Golang cycle is a plus
- At least one End to End CI/CD Implementation experience
- Excellent Problem Solving and Debugging skills in DevOps area· Good understanding of Containerization (Docker/Kubernetes)
- Hands-on Build/Package tool experience· Experience with AWS services Glue, Athena, Lambda, EC2, RDS, EKS/ECS, ALB, VPC, SSM, Route 53
- Experience with setting up CI/CD pipeline for Glue jobs, Athena, Lambda functions
- Experience architecting interaction with services and application deployments on AWS
- Experience with Groovy and writing Jenkinsfile
- Experience with repository management, code scanning/linting, secure scanning tools
- Experience with deployments and application configuration on Kubernetes
- Experience with microservice orchestration tools (e.g. Kubernetes, Openshift, HashiCorp Nomad)
- Experience with time-series and document databases (e.g. Elasticsearch, InfluxDB, Prometheus)
- Experience with message buses (e.g. Apache Kafka, NATS)
- Experience with key-value stores and service discovery mechanisms (e.g. Redis, HashiCorp Consul, etc)











