
Years: 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.

Similar jobs
- Design cloud infrastructure that is secure, scalable, and highly available on AWS, Azure and GCP
- Work collaboratively with software engineering to define infrastructure and deployment requirements
- Provision, configure and maintain AWS, Azure, GCP cloud infrastructure defined as code
- Ensure configuration and compliance with configuration management tools
- Administer and troubleshoot Linux based systems
- Troubleshoot problems across a wide array of services and functional areas
- Build and maintain operational tools for deployment, monitoring, and analysis of AWS, Azure Infrastructure and systems
- Perform infrastructure cost analysis and optimization
Responsibility :
- Install, configure, and maintain Kubernetes clusters.
- Develop Kubernetes-based solutions.
- Improve Kubernetes infrastructure.
- Work with other engineers to troubleshoot Kubernetes issues.
Kubernetes Engineer Requirements & Skills
- Kubernetes administration experience, including installation, configuration, and troubleshooting
- Kubernetes development experience
- Linux/Unix experience
- Strong analytical and problem-solving skills
- Excellent communication and interpersonal skills
- Ability to work independently and as part of a team
● Explore
○ As a devops engineer, you will have multiple ways, tools & technologies to solve
a particular problem. We want you to take things in your own hands and figure
out the best way to solve it.
● PDCT
○ Plan, design, code & write test cases for problems you are solving
● Tuning
○ Help to tune performance and ensure high availability of infrastructure, including
reviewing system and application logs
● Security
○ Work on code-level application security
● Deploy
○ Deploy, manage and operate scalable, highly available, and fault-tolerant
systems in client environments.
Technologies (4 out of 5 are required) :
● Terraform*
● Docker*
● Kubernetes*
● Bash Scripting
● SQL
(* marked are a must)
The challenges are great (as are the rewards). If you are looking to take these DevOps
challenges head on & wish to learn a great deal out of it and contribute to the company along
the way, this is the role for you.
Ready?
If developing impactful product for a initial stage startup sounds appealing to you, let’s
have a conversation. (Confidential, of course)
Key Responsibilities:-
• Collaborate with Data Scientists to test and scale new algorithms through pilots and later industrialize the solutions at scale to the comprehensive fashion network of the Group
• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service to provide an e2e solution
• Leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code
• Design, develop and maintain the framework for the analytical pipeline
• Develop common components to address pain points in machine learning projects, like model lifecycle management, feature store and data quality evaluation
• Provide input and help implement framework and tools to improve data quality
• Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within the Group
• Deliver on time, demonstrating a strong commitment to deliver on the team mission and agreed backlog
- Provision Dev Test Prod Infrastructure as code using IaC (Infrastructure as Code)
- Good knowledge on Terraform
- In-depth knowledge of security and IAM / Role Based Access Controls in Azure, management of Azure Application/Network Security Groups, Azure Policy, and Azure Management Groups and Subscriptions.
- Experience with Azure and GCP compute, storage and networking (we can also look for GCP )
- Experience in working with ADLS Gen2, Databricks and Synapse Workspace
- Experience supporting cloud development pipelines using Git, CI/CD tooling, Terraform and other Infrastructure as Code tooling as appropriate
- Configuration Management (e.g. Jenkins, Ansible, Git, etc...)
- General automation including Azure CLI, or Python, PowerShell and Bash scripting
- Experience with Continuous Integration/Continuous Delivery models
- Knowledge of and experience in resolving configuration issues
- Understanding of software and infrastructure architecture
- Experience in Paas, Terraform and AKS
- Monitoring, alerting and logging tools, and build/release processes Understanding of computing technologies across Windows and Linux
What you will do:
- Handling Configuration Management, Web Services Architectures, DevOps Implementation, Build & Release Management, Database management, Backups and monitoring
- Logging, metrics and alerting management
- Creating Docker files
- Performing root cause analysis for production errors
What you need to have:
- 12+ years of experience in Software Development/ QA/ Software Deployment with 5+ years of experience in managing high performing teams
- Proficiency in VMware, AWS & cloud applications development, deployment
- Good knowledge in Java, Node.js
- Experience working with RESTful APIs, JSON etc
- Experience with Unit/ Functional automation is a plus
- Experience with MySQL, Mango DB, Redis, Rabbit MQ
- Proficiency in Jenkins. Ansible, Terraform/Chef/Ant
- Proficiency in Linux based Operating Systems
- Proficiency of Cloud Infrastructure like Dockers, Kubernetes
- Strong problem solving and analytical skills
- Good written and oral communication skills
- Sound understanding in areas of Computer Science such as algorithms, data structures, object oriented design, databases
- Proficiency in monitoring and observability
About Us
At Digilytics™, we build and deliver easy to use AI products to the secured lending and consumer industry sectors. In an ever-crowded world of clever technology solutions looking for a problem to solve, our solutions start with a keen understanding of what creates and what destroys value in our clients’ business.
Founded by Arindom Basu (Founding member of Infosys Consulting), the leadership of Digilytics™ is deeply rooted in leveraging disruptive technology to drive profitable business growth. With over 50 years of combined experience in technology-enabled change, the Digilytics™ leadership is focused on building a values-first firm that will stand the test of time.
We are currently focused on developing a product, Revel FS, to revolutionise loan origination for mortgages and secured lending. We are also developing a second product, Revel CI, focused on improving trade (secondary) sales to consumer industry clients like auto and FMCG players.
The leadership strongly believes in the ethos of enabling intelligence across the organization. Digiliytics AI is headquartered in London, with a presence across India.
Website: http://www.digilytics.ai">www.digilytics.ai
- Know about our product
- https://www.digilytics.ai/RevEL/Digilytics">Digilytics RelEL
- https://www.digilytics.ai/RevUP/">Digilytics RelUP
- What's it like working at Digilytics https://www.digilytics.ai/about-us.html">https://www.digilytics.ai/about-us.html
- Digilytics featured in Forbes: https://bit.ly/3zDQc4z">https://bit.ly/3zDQc4z
Responsibilities
- Experience with Azure services (Virtual machines, Containers, Databases, Security/Firewall, Function Apps etc)
- Hands-on experience on Kubernetes/Docker/helm.
- Deployment of java Builds & administration/configuration of Nginx/Reverse Proxy, Load balancer, Ms-SQL, Github, Disaster Recovery,
- Linux – Must have basic knowledge- User creation/deletion, ACL, LVM etc.
- CI/CD - Azure DevOps or any other automation tool like Terraform, Jenkins etc.
- Experience with SharePoint and O365 administration
- Azure/Kubernetes certification will be preferred.
- Microsoft Partnership experience is good to have.
- Excellent understanding of required technologies
- Good interpersonal skills and the ability to communicate ideas clearly at all levels
- Ability to work in unfamiliar business areas and to use your skills to create solutions
- Ability to both work in and lead a team and to deliver and accept peer review
- Flexible approach to working environment and hours to meet the needs of the business and clients
Must Haves:
- Hands-on experience on Kubernetes/Docker/helm.
- Experience on Azure/Aws or any other cloud provider.
- Linux & CI/CD tools knowledge.
Experience & Education:
- A start up mindset with proven experience working in both smaller and larger organizations having multicultural exposure
- Between 4-9 years of experience working closely with the relevant technologies, and developing world-class software and solutions
- Domain and industry experience by serving customers in one or more of these industries - Financial Services, Professional Services, other Retail Consumer Services
- A bachelor's degree, or equivalent, in Software Engineering and Computer Science
- Preferred experience in development associated with Kafka or big data technologies understand essential Kafka components like Zookeeper, Brokers, and optimization of Kafka clients applications (Producers & Consumers). -
Experience with Automation of Infrastructure, Testing , DB Deployment Automation, Logging/Monitoring/alerting
- AWS services experience on CloudFormation, ECS, Elastic Container Registry, Pipelines, Cloudwatch, Glue, and other related services.
- AWS Elastic Kubernetes Services (EKS) - Kubernetes and containers managing and auto-scaling -
Good knowledge and hands-on experiences with various AWS services like EC2, RDS, EKS, S3, Lambda, API, Cloudwatch, etc.
- Good and quick with log analysis to perform Root Cause Analysis (RCA) on production deployments and container errors on cloud watch.
Working on ways to automate and improve deployment and release processes.
- High understanding of the Serverless architecture concept. - Good with Deployment automation tools and Investigating to resolve technical issues.
technical issues. - Sound knowledge of APIs, databases, and container-based ETL jobs.
- Planning out projects and being involved in project management decisions. Soft Skills
- Adaptability
- Collaboration with different teams
- Good communication skills
- Team player attitude
One of our US based client is looking for a Devops professional who can handle Technical as well as Trainings for them in US.
If you are hired, you will be sent to US for the working from there. Training & Technical work ratio will be 70% & 30% respectively.
Company Will sponsor for US Visa.
If you are an Experienced Devops professional and also given professional trainings then feel free to connect with us for more.
Implement integrations requested by customers
Deploy updates and fixes
Provide Level 2 technical support
Build tools to reduce occurrences of errors and improve customer experience
Develop software to integrate with internal back-end systems
Perform root cause analysis for production errors
Investigate and resolve technical issues
Develop scripts to automate visualization
Design procedures for system troubleshooting and maintenance
Multiple Clouds [AWS/Azure/GCP] hands on experience
Good Experience on Docker implementation at scale.
Kubernets implementation and orchestration.
Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East. This is an excellent opportunity to join ITP’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:
Must-Have’s:









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