Sr. DevOps Engineer at DigilyticsAI · Gurugram · 3 - 9 years · ₹6L - ₹15L / yr · Profitable · Posted 12 Sep 2022
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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

About DigilyticsAI
About
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 focussed 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 presence across India.
Website: www.digilytics.ai
· Know about our product
o Digilytics RelEL
o Digilytics RelUP
· What's it like working at Digilytics https://www.digilytics.ai/about-us.html
· Digilytics featured in Forbes: https://bit.ly/3zDQc4z
Company video


Connect with the team
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Job Title : DevOps Engineer
Experience : 7+ Years
Working Hours : 3:30 AM – 11:30 AM ET
Duration : 12–18 Months
Engagement : Contract
Freelance : Not Applicable
BGV : Required
Role Overview :
We are looking for an experienced DevOps Engineer to design, implement, and optimize DevOps practices, CI/CD pipelines, deployment automation, and cloud-native delivery platforms. The role will focus on enabling secure, reliable, and efficient software delivery while improving infrastructure automation, release processes, platform reliability, and operational resilience.
Mandatory Skills :
DevOps, CI/CD, Azure DevOps / GitHub Actions, Kubernetes, Docker, PowerShell / Python / Bash, Automation, Monitoring & Observability, DevSecOps, IaC, Troubleshooting, and Production Support.
Key Responsibilities :
- Design, build, and maintain CI/CD pipelines for enterprise application delivery and release management.
- Develop deployment automation frameworks to improve release quality, consistency, scalability, and efficiency.
- Administer Kubernetes and containerized environments and supporting orchestration platforms.
- Improve build, test, deployment, and release workflows for development teams.
- Integrate automated testing, security scanning, validation, and compliance controls into CI/CD pipelines.
- Implement monitoring, logging, alerting, and observability solutions for platform and application environments.
- Troubleshoot deployment failures, production issues, and platform incidents; perform root cause analysis.
- Develop automation scripts and tools using PowerShell, Python, Bash, or similar technologies.
- Implement Infrastructure as Code and automation practices to reduce manual effort and operational risk.
- Collaborate with Cloud, Infrastructure, Security, and Application teams to deliver scalable and resilient solutions.
- Maintain deployment standards, release procedures, technical documentation, and operational runbooks.
- Apply DevOps, DevSecOps, and SRE best practices to improve delivery speed and platform reliability.
- Evaluate emerging DevOps technologies and recommend improvements.
- Mentor team members on DevOps methodologies, automation, and platform engineering practices.
- Act as an escalation point for critical deployment, infrastructure, and platform issues.
Required Technical Skills :
1. DevOps & CI/CD :
- 7+ years of experience in DevOps, Platform Engineering, Infrastructure Engineering, or Software Engineering.
- Strong experience designing and supporting CI/CD pipelines and release management.
- Hands-on experience with Azure DevOps, GitHub, GitHub Actions, or equivalent platforms.
- Strong understanding of Git, branching strategies, release management, and deployment methodologies.
2. Containers & Cloud :
- Strong hands-on experience with Kubernetes and Docker/containerization.
- Understanding of cloud-native application architectures and distributed systems.
- Experience supporting production-grade containerized environments.
3. Automation & IaC :
- Strong proficiency in PowerShell, Python, Bash, or similar scripting languages.
- Experience developing automation frameworks and deployment tooling.
- Knowledge of Infrastructure as Code (IaC) concepts.
- Experience with Terraform, Bicep, or similar tools is preferred.
4. Monitoring & Reliability :
- Experience with monitoring, logging, observability, and alerting.
- Strong troubleshooting and root cause analysis skills.
- Experience supporting highly available and resilient production systems.
- Knowledge of SRE practices is preferred.
5. Security & DevSecOps :
- Understanding of DevSecOps and secure software delivery practices.
- Experience integrating vulnerability scanning, security controls, and compliance checks into CI/CD pipelines.
- Knowledge of IAM, secrets management, and access control within DevOps environments.
Preferred Qualifications :
- Hands-on experience with Microsoft Azure.
- Experience with Terraform/Bicep or other IaC tools.
- Knowledge of SRE and platform engineering practices.
- Relevant Azure, Kubernetes, Cloud, or DevOps certifications.
Tasks & Responsibilities: (Major task and role person will have to perform – list all the relevant points)
Together with the Business Cloud Services team, you will design, deploy, and operate a cloud‑native Kubernetes PaaS platform on Azure, ensuring high availability, security, and operational excellence.
Your main duties include:
· Drive cloud‑native automation and self‑service capabilities, ensuring platform security, availability, and disaster recovery readiness
· Design, operate, and continuously improve Kubernetes clusters and PaaS environments on Azure / AKS
· Collaborate closely with development teams on deployment strategies, operational requirements, and platform integration
· Review and maintain infrastructure‑as‑code configurations, CI/CD pipelines, and cloud‑native deployments
· Build and maintain CI/CD pipelines using Azure DevOps
· Implement and operate infrastructure‑as‑code solutions using Terraform, Helm, and Ansible
· Manage containerized workloads and orchestration across cloud‑native environments
· Set up, operate, and enhance monitoring, logging, and alerting stacks using tools such as Prometheus and Grafana
· Coordinate with support teams on platform incidents, escalations, and post‑incident analysis
· Contribute to incident response, continuous improvement, and operational stability
· Support the development and refinement of DevOps practices, runbooks, and operational standards
· Actively contributes to improving developer experience and platform reliability
Education & Trainings + Certifications: (Basic & Professional)
· Bachelor’s degree (Preferably engineering graduate)
· Azure Solutions Architect Expert Certification is a plus.
· (optional) ITIL Foundation
Technical know-how: (Mention the technology on which person must be experienced)
Mandatory
o Bachelor’s degree in computer science, Information Systems, or a related field
o 5+ years of relevant professional experience in DevOps, Cloud Engineering, or Platform Engineering roles
o Strong Linux system administration skills for operating production‑grade cloud‑native platforms
o Proven experience with Microsoft Azure, including AKS and Azure DevOps tooling
o Strong expertise in Kubernetes, including cluster operations, RBAC, networking, and storage
o Hands‑on experience with container technologies such as Docker and container registries
o Proficiency with Terraform, Helm, Ansible, and PowerShell
o Experience building and operating CI/CD pipelines using Azure DevOps or equivalent tools
o Cloud‑native monitoring and observability experience using Prometheus, Grafana, and alerting pipelines
o Solid understanding of security and compliance requirements such as PCI DSS and SOC2
o Scripting skills for automation and tooling (Bash, Python, PowerShell)
o Practical experience using Git for version control
o Excellent communication skills in English (Spanish is a plus)
o Automation‑first mindset and strong collaboration skills within Agile teams
Good to know
Principles of Agile Software Development.
· GitHub Actions, GitLab CI, Jenkins, Azure DevOps
· Containers: Docker, Kubernetes (EKS / AKS / GKE)
· Configuration Management: Ansible
- Strong hands-on experience in Microsoft Azure Cloud.
- Good understanding of Azure services such as Compute, Storage, Event Hub, Event Subscription, Storage Queue, and PaaS services.
- Basic understanding of Azure AI Foundry and AI-related Azure service setup.
- Good Azure networking basics: VNet, subnet, routing, and basic troubleshooting.
- Strong knowledge of Terraform, especially:
- Terraform state
- plan / apply
- troubleshooting failures
- migration risks
- Terraform Enterprise concepts
- Strong Python coding capability, not just basic scripting.
- Experience using Python for API integration, automation, JSON/YAML handling, and internal tooling.
- Good understanding of CI/CD pipelines.
- Ability to troubleshoot pipeline failures.
- Comfortable with YAML and JSON.
- Ability to troubleshoot Azure infrastructure/platform issues.
- Ability to collect logs/evidence and coordinate with network/app/Microsoft support teams.
- Basic awareness of agentic AI / LLM concepts.
- Awareness of security and cost best practices.
Good to Have Skills
- Hands-on experience with Harness.
- Hands-on experience with Terraform Enterprise.
- Exposure to LangGraph / LangChain.
- Exposure to agentic AI workflows or skill creation.
- Exposure to Claude or enterprise LLM integrations.
- Knowledge of Azure ML Workspace, model registry, and managed endpoints.
- MLOps / LLMOps knowledge.
- FinOps / Azure cost optimization experience.
- Azure certifications: AZ-104, AZ-305, AZ-400, AZ-500.
Screening Priority:
Azure Cloud + Terraform + Python Coding + CI/CD Troubleshooting + YAML/JSON + Basic Agentic AI Awareness
AWS / Kubernetes / OpenShift / Linux – Job Description
Role: Cloud / DevOps Engineer
Experience: 4–8 Years
Location: Bangalore
Mandatory Skills: AWS, Kubernetes, OpenShift, Linux
Job Summary
Looking for a Cloud/DevOps Engineer with strong hands-on experience in AWS, Kubernetes, OpenShift, and Linux. The candidate will be responsible for managing cloud infrastructure, container platforms, deployments, monitoring, and troubleshooting.
Key Responsibilities
- Manage and support AWS cloud infrastructure and services.
- Deploy and manage applications using Kubernetes and OpenShift.
- Perform Linux administration, troubleshooting, and issue resolution.
- Monitor application and infrastructure health and resolve production issues.
- Work on containerized applications and deployments.
- Support scaling, configuration, upgrades, and maintenance of Kubernetes/OpenShift environments.
- Troubleshoot cloud, container, and Linux-related issues.
- Collaborate with development and operations teams for deployments and releases.
- Follow security, availability, and operational best practices.
Mandatory Skills
- Strong hands-on experience in AWS
- Good experience with Kubernetes
- Hands-on experience in OpenShift
- Strong Linux administration and troubleshooting skills
- Experience in cloud/container environment support
- Good production troubleshooting and incident management skills
Job Summary:
We are looking for an experienced Cloud / DevOps Engineer with strong hands-on experience in AWS, Kubernetes, OpenShift, and Linux. The candidate will be responsible for managing cloud infrastructure, containerized applications, deployments, and production environments.
Roles & Responsibilities:
- Design, deploy, and manage cloud infrastructure on AWS.
- Manage and administer Kubernetes and OpenShift environments.
- Deploy, configure, and troubleshoot containerized applications.
- Perform Linux administration, troubleshooting, and system monitoring.
- Monitor application and infrastructure performance and resolve production issues.
- Automate deployment and operational activities wherever possible.
- Work with development and operations teams to support application deployments.
- Ensure system availability, reliability, and security.
- Troubleshoot issues related to Kubernetes clusters, containers, networking, and Linux systems.
- Follow DevOps best practices for CI/CD, infrastructure management, and automation.
Required Skills:
- 7–10 years of relevant experience in Cloud/DevOps.
- Strong hands-on experience with AWS.
- Good knowledge of Kubernetes and OpenShift.
- Strong Linux administration and troubleshooting skills.
- Experience in containerization and deployment of applications.
- Good understanding of cloud infrastructure and production support.
Key Responsibilities
Azure Infrastructure: Deploy, configure, and manage Azure IaaS and PaaS services, including Virtual Machines, Virtual Networks, Network Security Groups, Azure Firewall, VPN/ExpressRoute gateways, storage, App Services, and Azure SQL.
Azure Landing Zones: Implement and maintain landing zones aligned with the Microsoft Cloud Adoption Framework, including management groups, subscriptions, RBAC, Azure Policy, and resource tagging.
Cloud Migration: Execute on-premises-to-Azure migrations using Azure Migrate, Azure Site Recovery (ASR), and database migration tools.
Identity and Access Management: Manage Microsoft Entra ID integrations, Entra Connect, Conditional Access, Privileged Identity Management (PIM), and managed identities.
Backup and Disaster Recovery: Configure and manage Azure Backup, Azure Site Recovery, monitoring, and disaster recovery solutions.
L2 Support and Incident Management: Resolve infrastructure incidents and service requests within agreed SLAs, perform root-cause analysis, and escalate complex issues to L3 teams with detailed diagnostics.
Cloud Security: Apply security baselines using Microsoft Defender for Cloud and implement secure-score recommendations.
Automation and Infrastructure as Code: Automate routine tasks using PowerShell and Azure CLI, and work with ARM templates, Bicep, or Terraform.
Cost Optimization: Monitor Azure consumption, optimize resource utilization, and prepare monthly cloud usage and cost reports.
Technical Documentation: Prepare low-level designs, operational runbooks, as-built documentation, and project handover documents.
Presales Support: Assist with effort estimation, technical solution inputs, and proof-of-concept implementations.
Required Skills and Qualifications
3–5 years of hands-on experience in Microsoft Azure infrastructure.
At least 2 years of experience in customer-facing consulting or managed services environments.
Strong working knowledge of Azure networking, compute, storage, and identity services.
Practical experience delivering at least one end-to-end Azure migration or landing zone deployment.
Good understanding of Windows Server, Active Directory, DNS, and DHCP.
Hands-on scripting experience with PowerShell.
Working knowledge of Bicep, ARM templates, or Terraform.
Familiarity with ITIL processes and ticketing tools such as ServiceNow, Jira Service Management, Freshservice, or similar platforms.
Strong written and verbal English communication skills, with the ability to interact with customer IT teams.
Certifications
Mandatory
Microsoft Certified: Azure Administrator Associate (AZ-104).
Preferred
Microsoft Certified: Azure Solutions Architect Expert (AZ-305).
Microsoft Certified: Azure Security Engineer Associate (AZ-500).
Microsoft Certified: Azure Network Engineer Associate (AZ-700).
Good to Have
Experience with Azure Virtual Desktop deployment and image management.
Exposure to Microsoft Sentinel or Microsoft Defender XDR.
Experience supporting UAE government or semi-government customers.
Arabic language proficiency.
Candidate Requirements
Currently based in the UAE with a valid residence visa, or able to transfer the visa without delay.
Available to join immediately or within 15 days.
A valid UAE driving licence is preferred for customer site visits.
Willing to work at customer premises and support occasional after-hours change windows
Location : Mumbai
Big Picture (The Opportunity) :
Are you looking for an opportunity to advance your Career? & If you are able to maintain a positive attitude even when everything goes wrong, if you are detail oriented and self motivated with a passion to learn and improve your skills and knowledge, we have a perfect job for you !
What do we want from you ? (Our Expectations) :
- Zero to 2 years experience in Linux Operating System.
- Flexible working hours - able to support occasional nights, weekends, and call-ins, able to quickly adapt to a constantly changing faced paced environment. Open to travel to sites.
- An ideal person who is excited and motivated about running and supporting a production - grade critical infrastructure and looks for opportunities to improve processes with automation.
What are you required to do ? (Your Responsibilities) :
- Proactively maintain and develop all linux infrastructure technology to maintain a 24*7*365 uptime service.
- Engineering of systems administration-related various solutions for our various SAAS products and projects as well as operational needs.
- Proactively monitoring system performance and capacity planning.
- Providing technical support to customers for Applications, Operating systems, and networking.
- Will also be the first point of contact for our clients, where installations are placed on a permanent basis, for basic troubleshooting and problem solving.
- Fault finding, analysis and logging information for reporting of performance exceptions.
- Maintain best practices on managing systems and services across all environments.
Skills & Qualification Required (Add Value) :
- Graduate - Preferred to have Bachelor‘s Degree in Engineering, Computer Science or related field.
- He / She should be familiar with the installation and configuration of Linux operating systems and setup and operation of TCP/IP networking on Linux systems also familiar with Internet concepts including SMTP, IMAP, POP, HTTP, DNS, LDAP and related protocols.
- You should possess excellent communication skills .
- Knowledge of Email concepts, Helpdesk Concept , VoIP Concept , Cloud computing will be an added advantage.
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Mandatory: Python+Kubernetes Containerisation+ DevOps Exposure+ Cloud Exposure(any)
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Job Description: Lead - Cloud Engineering (AWS / Azure)
Role Title: Lead - Cloud Engineering
Experience Level: 10+ Years
Domain Focus: Healthcare AI & Cloud Infrastructure
Location: Remote
Job Overview
We are seeking an experienced Lead - Cloud Engineering with over 10 years of IT experience to lead our cloud strategy, architecture, and infrastructure teams. In this role, you will oversee end-to-end cloud deployment, multi-cloud migration, and scalable architecture designed to support cutting-edge Generative AI applications in the healthcare technology domain.
The ideal candidate brings deep technical expertise in both AWS and Azure, strong hands-on capability in cloud infrastructure, and proven leadership experience driving security, compliance, and team growth.
Key Responsibilities
Cloud Architecture & Migration
- Lead the architecture, design, and execution of cloud migrations, deployments, and modernizations across AWS and Azure environments.
- Drive Infrastructure as Code (IaC) standards using Terraform, CloudFormation, or Bicep to ensure scalable, automated infrastructure provisioning.
- Build high-availability, low-latency architectures optimized for data-intensive Generative AI and Machine Learning workloads.
Security & Healthcare Compliance
- Enforce healthcare security standards including HIPAA, HITRUST, SOC 2, and data governance best practices across all cloud assets.
- Implement Zero-Trust security, Identity Access Management (IAM), data encryption key management, and continuous vulnerability monitoring.
Leadership & Team Management
- Manage, mentor, and scale a high-performing team of DevOps, Cloud, and SRE Engineers.
- Drive Agile workflows, sprint planning, incident response frameworks, and SLA compliance.
- Collaborate closely with Data Engineering, AI/ML, and Software Product teams to align infrastructure with business roadmaps.
Operations & FinOps
- Establish cloud cost optimization strategies (FinOps) to manage computing costs associated with AI models and large-scale data processing.
- Manage monitoring, alerting, and telemetry frameworks (e.g., Prometheus, Datadog, CloudWatch) to ensure 99.99% uptime.
Key Requirements
- Experience: 10+ years of overall IT experience with at least 5+ years in a cloud leadership or lead architect role.
- Cloud Platforms: Advanced hands-on expertise with both AWS (e.g., EC2, S3, EKS, Bedrock, SageMaker) and Azure (e.g., AKS, Azure OpenAI, Blob, Virtual Machines).
- DevOps & IaC: Strong background in Terraform, Docker, Kubernetes, CI/CD pipelines (GitHub Actions, GitLab CI, or Jenkins).
- Domain Knowledge: Prior experience building or managing cloud environments within Healthcare, Life Sciences, or HealthTech is strongly preferred.
- AI/ML Familiarity: Experience supporting cloud infrastructure for machine learning pipelines, LLM deployments, or GPU compute management.
- Certifications (Preferred): AWS Certified Solutions Architect – Professional, Azure Solutions Architect Expert, or Certified Kubernetes Administrator (CKA).
Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
3+ years of hands-on experience with Microsoft Azure, including IaaS, PaaS, networking, identity (Entra ID), and governance services.
2+ years of experience with DevOps tooling and practices, including CI/CD pipelines (Azure DevOps or GitHub Actions), Infrastructure as Code (Terraform, Bicep, or ARM), and version control (Git).
2+ years' experience in infrastructure design, platform engineering, or architecture.
Strong proficiency with automation and scripting — PowerShell, Azure CLI, Python, or Bash.
Solid understanding of containerisation (Docker) and familiarity with orchestration platforms (Azure Kubernetes Service).
Deep understanding of cloud architecture, deployment patterns, and management best practices, including the Azure Well-Architected Framework.
Experience defining standards, governance frameworks, and reference architectures for cloud platform consumption.
Strong knowledge of networking concepts, storage configurations, virtualisation technologies, and disaster recovery/backup design for hybrid environments.
Experience with Azure DevOps (Repos, Pipelines, Boards, Artifacts) or equivalent platforms.
Familiarity with identity and access management (IAM), including Entra ID, RBAC, PIM.
Strong understanding of security, compliance requirements, and IT governance frameworks (ITIL, COBIT, or similar).
Preferred










