
Sr Enterprise Software Architect with Cloud skills and preferably having either a GCP Associate or Professional Certification.
The requirement is to understand existing Enterprise Applications and help design a solution to enable Load balancing & Auto Scaling the application to meet certain KPIs.
Should be well versed with
- Designing and Deploying Large enterprise software in Cloud
- Understands Cloud fundamentals
- DevOps & Kubernetes
- Experience deploying cloud applications and monitoring operations
- Preferably Google Cloud
- Associate or Professional Certification.

About EnterpriseMinds
About
Enterprise Minds, with core focus on engineering products, automation and intelligence, partners customers on the trajectory towards increasing outcomes, relevance and growth.
Harnessing the power of Data and the forces that define AI, Machine Learning and Data Science, we believe in institutionalising go-to-market models and not just explore possibilities.
We believe in a customer-centric ethic without and people-centric paradigm within. With a strong sense of community, ownership and collaboration our people work in a spirit of co-creation, co-innovation and co-development to engineer next-generation software products with the help of accelerators.
Through Communities we connect and attract talent that shares skills and expertise. Through Innovation Labs and global design studios we deliver creative solutions.
We create vertical isolated pods which has narrow but deep focus. We also create horizontal pods to collaborate and deliver sustainable outcomes.
We follow Agile methodologies to fail fast and deliver scalable and modular solutions. We constantly self-asses and realign to work with each customer in the most impactful manner.
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Job Title: Lead DevOps Engineer
Experience Required: 8+ years in DevOps or related fields
Employment Type: Full-time
About the Role:
We are seeking a highly skilled and experienced Lead DevOps Engineer. This role will focus on driving the design, implementation, and optimization of our CI/CD pipelines, cloud infrastructure, and operational processes. As a Lead DevOps Engineer, you will play a pivotal role in enhancing the scalability, reliability, and security of our systems while mentoring a team of DevOps engineers to achieve operational excellence.
Key Responsibilities:
Infrastructure Management: Architect, deploy, and maintain scalable, secure, and resilient cloud infrastructure (e.g., AWS, Azure, or GCP).
CI/CD Pipelines: Design and optimize CI/CD pipelines, to improve development velocity and deployment quality.
Automation: Automate repetitive tasks and workflows, such as provisioning cloud resources, configuring servers, managing deployments, and implementing infrastructure as code (IaC) using tools like Terraform, CloudFormation, or Ansible.
Monitoring & Logging: Implement robust monitoring, alerting, and logging systems for enterprise and cloud-native environments using tools like Prometheus, Grafana, ELK Stack, NewRelic or Datadog.
Security: Ensure the infrastructure adheres to security best practices, including vulnerability assessments and incident response processes.
Collaboration: Work closely with development, QA, and IT teams to align DevOps strategies with project goals.
Mentorship: Lead, mentor, and train a team of DevOps engineers to foster growth and technical expertise.
Incident Management: Oversee production system reliability, including root cause analysis and performance tuning.
Required Skills & Qualifications:
Technical Expertise:
Strong proficiency in cloud platforms like AWS, Azure, or GCP.
Advanced knowledge of containerization technologies (e.g., Docker, Kubernetes).
Expertise in IaC tools such as Terraform, CloudFormation, or Pulumi.
Hands-on experience with CI/CD tools, particularly Bitbucket Pipelines, Jenkins, GitLab CI/CD, Github Actions or CircleCI.
Proficiency in scripting languages (e.g., Python, Bash, PowerShell).
Soft Skills:
Excellent communication and leadership skills.
Strong analytical and problem-solving abilities.
Proven ability to manage and lead a team effectively.
Experience:
8+ years of experience in DevOps or Site Reliability Engineering (SRE).
3+ years in a leadership or team lead role, with proven experience managing distributed teams, mentoring team members, and driving cross-functional collaboration.
Strong understanding of microservices, APIs, and serverless architectures.
Nice to Have:
Certifications like AWS Certified Solutions Architect, Kubernetes Administrator, or similar.
Experience with GitOps tools such as ArgoCD or Flux.
Knowledge of compliance standards (e.g., GDPR, SOC 2, ISO 27001).
Perks & Benefits:
Competitive salary and performance bonuses.
Comprehensive health insurance for you and your family.
Professional development opportunities and certifications, including sponsored certifications and access to training programs to help you grow your skills and expertise.
Flexible working hours and remote work options.
Collaborative and inclusive work culture.
Join us to build and scale world-class systems that empower innovation and deliver exceptional user experiences.
We are seeking Cloud Developer with experience in GCP/Azure along with Terraform coding. They will help to manage & standardize the IaC module.
Experience:5 - 8 Years
Location:Mumbai & Pune
Mode of Work:Full Time
Key Responsibilities:
- Design, develop, and maintain robust software applications using most common and popular coding languages suitable for the application design, with a strong focus on clean, maintainable, and efficient code.
- Develop, maintain, and enhance Terraform modules to encapsulate common infrastructure patterns and promote code reuse and standardization.
- Develop RESTful APIs and backend services aligned with modern architectural practices.
- Apply object-oriented programming principles and design patterns to build scalable systems.
- Build and maintain automated test frameworks and scripts to ensure high product quality.
- Troubleshoot and resolve technical issues across application layers, from code to infrastructure.
- Work with cloud platforms such as Azure or Google Cloud Platform (GCP).
- Use Git and related version control practices effectively in a team-based development environment.
- Integrate and experiment with AI development tools like GitHub Copilot, Azure OpenAI, or similar to boost engineering efficiency.
Requirements:
- 5+ years of experience
- Experience with IaC Module
- Terraform coding experience along with Terraform Module as a part of central platform team
- Azure/GCP cloud experience is a must
- Experience with C#/Python/Java Coding - is good to have
If interested please share your updated resume with below details :
Total Experience -
Relevant Experience -
Current Location -
Current CTC -
Expected CTC -
Notice period -
Any offer in hand -
Role Overview:
Virtana is looking for a Senior DevOps Engineer to join our R&D Infrastructure team. In this role, you won't just follow conventions — you'll help redefine them. You will own the architecture, build, and day-to-day operations of the GCP-based cloud platform that powers Virtana's SaaS products and the AI-driven observability experience our Global 2000 customers depend on. This is a hands-on senior individual contributor role with meaningful technical leadership scope, working alongside engineers and architects on a unified observability platform.
Work Location: Pune
Job Type: Hybrid
Role Responsibilities:
- GCP Cloud Operations: Develop, deploy, operate, and support production cloud infrastructure primarily on GCP — leveraging GKE, BigTable, BigQuery, Dataflow, Cloud Storage, IAM, and core networking services.
- Reliability & SLAs: Ensure production systems are running at all times with multiple levels of redundancy to meet committed SLAs; lead incident response, root cause analysis, and post-incident reviews.
- Build & Release Automation: Design, implement, and continuously improve scalable CI/CD pipelines and test frameworks leveraged by QA and development teams across the company.
- Infrastructure as Code: Manage large-scale, repeatable deployments using Terraform, Ansible, Puppet, or SaltStack; champion Git-based workflows and version control standards for distributed engineering teams.
- Security & Availability: Maintain the ongoing maintenance, security, patching, and availability of services in line with tight operations, security, and procedural models.
- Monitoring & Alerting: Plan and deliver high-value monitoring and alerting features to support operations, support, and customer-facing reliability — eating our own dog food with the Virtana Platform wherever possible.
- Capacity & Cost: Forecast capacity, plan upgrades, patches, and migrations, and drive cloud cost efficiency across hybrid and multi-cloud environments.
- Cross-Functional Partnership: Work with development, operations, and support personnel to identify, isolate, and diagnose issues; handle support escalations and drive permanent fixes.
Required Qualifications:
- Bachelor's degree in Computer Science / Engineering or equivalent relevant experience.
- 5–7 years of professional hands-on DevOps / SRE experience supporting production cloud environments.
- Strong, demonstrable production experience on GCP — including GKE, BigTable, BigQuery, Dataflow, IAM, and core GCP networking services.
- Deep, hands-on expertise with container orchestration (Kubernetes) and Docker in production.
- Advanced proficiency with at least one infrastructure-as-code / configuration management tool: Terraform, Ansible, Puppet, or SaltStack.
- Solid understanding of networking, firewalls, load balancers, DNS, and database operations.
- Strong working knowledge of Git-based workflows and version control standards for distributed engineering teams.
- Comfort operating hybrid environments that include both Linux and Windows ecosystems.
- Excellent verbal and written communication skills, with the ability to explain highly technical topics to both technical and non-technical audiences.
- Self-motivated, detail-oriented, and able to work both independently and within a globally distributed team.
Good to Have:
- Strong scripting skills and a demonstrated ability to automate operational toil — Python preferred; Bash, Go, or Groovy a plus.
- Hands-on experience designing and operating CI/CD pipelines with Jenkins (Spinnaker, GitHub Actions, or GitLab CI also welcome).
- Exposure to AWS or other public clouds in addition to GCP.
- Experience operating SaaS platforms built on microservices architectures.
The candidate should have a background in development/programming with experience in at least one of the following: .NET, Java (Spring Boot), ReactJS, or AngularJS.
Primary Skills:
- AWS or GCP Cloud
- DevOps CI/CD pipelines (e.g., Azure DevOps, Jenkins)
- Python/Bash/PowerShell scripting
Secondary Skills:
- Docker or Kubernetes
Role: Full-Time, Long-Term Required: Docker, GCP, CI/CD Preferred: Experience with ML pipelines
OVERVIEW
We are seeking a DevOps engineer to join as a core member of our technical team. This is a long-term position for someone who wants to own infrastructure and deployment for a production machine learning system. You will ensure our prediction pipeline runs reliably, deploys smoothly, and scales as needed.
The ideal candidate thinks about failure modes obsessively, automates everything possible, and builds systems that run without constant attention.
CORE TECHNICAL REQUIREMENTS
Docker (Required): Deep experience with containerization. Efficient Dockerfiles, layer caching, multi-stage builds, debugging container issues. Experience with Docker Compose for local development.
Google Cloud Platform (Required): Strong GCP experience: Cloud Run for serverless containers, Compute Engine for VMs, Artifact Registry for images, Cloud Storage, IAM. You can navigate the console but prefer scripting everything.
CI/CD (Required): Build and maintain deployment pipelines. GitHub Actions required. You automate testing, building, pushing, and deploying. You understand the difference between continuous integration and continuous deployment.
Linux Administration (Required): Comfortable on the command line. SSH, diagnose problems, manage services, read logs, fix things. Bash scripting is second nature.
PostgreSQL (Required): Database administration basics—backups, monitoring, connection management, basic performance tuning. Not a DBA, but comfortable keeping a production database healthy.
Infrastructure as Code (Preferred): Terraform, Pulumi, or similar. Infrastructure should be versioned, reviewed, and reproducible—not clicked together in a console.
WHAT YOU WILL OWN
Deployment Pipeline: Maintaining and improving deployment scripts and CI/CD workflows. Code moves from commit to production reliably with appropriate testing gates.
Cloud Run Services: Managing deployments for model fitting, data cleansing, and signal discovery services. Monitor health, optimize cold starts, handle scaling.
VM Infrastructure: PostgreSQL and Streamlit on GCP VMs. Instance management, updates, backups, security.
Container Registry: Managing images in GitHub Container Registry and Google Artifact Registry. Cleanup policies, versioning, access control.
Monitoring and Alerting: Building observability. Logging, metrics, health checks, alerting. Know when things break before users tell us.
Environment Management: Configuration across local and production. Secrets management. Environment parity where it matters.
WHAT SUCCESS LOOKS LIKE
Deployments are boring—no drama, no surprises. Systems recover automatically from transient failures. Engineers deploy with confidence. Infrastructure changes are versioned and reproducible. Costs are reasonable and resources scale appropriately.
ENGINEERING STANDARDS
Automation First: If you do something twice, automate it. Manual processes are bugs waiting to happen.
Documentation: Runbooks, architecture diagrams, deployment guides. The next person can understand and operate the system.
Security Mindset: Secrets never in code. Least-privilege access. You think about attack surfaces.
Reliability Focus: Design for failure. Backups are tested. Recovery procedures exist and work.
CURRENT ENVIRONMENT
GCP (Cloud Run, Compute Engine, Artifact Registry, Cloud Storage), Docker, Docker Compose, GitHub Actions, PostgreSQL 16, Bash deployment scripts with Python wrapper.
WHAT WE ARE LOOKING FOR
Ownership Mentality: You see a problem, you fix it. You do not wait for assignment.
Calm Under Pressure: When production breaks, you diagnose methodically.
Communication: You explain infrastructure decisions to non-infrastructure people. You document what you build.
Long-Term Thinking: You build systems maintained for years, not quick fixes creating tech debt.
EDUCATION
University degree in Computer Science, Engineering, or related field preferred. Equivalent demonstrated expertise also considered.
TO APPLY
Include: (1) CV/resume, (2) Brief description of infrastructure you built or maintained, (3) Links to relevant work if available, (4) Availability and timezone.
- 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
- Minimum 3+ yrs of Experience in DevOps with AWS Platform
- • Strong AWS knowledge and experience
- • Experience in using CI/CD automation tools (Git, Jenkins, Configuration deployment tools ( Puppet/Chef/Ansible)
- • Experience with IAC tools Terraform
- • Excellent experience in operating a container orchestration cluster (Kubernetes, Docker)
- • Significant experience with Linux operating system environments
- • Experience with infrastructure scripting solutions such as Python/Shell scripting
- • Must have experience in designing Infrastructure automation framework.
- • Good experience in any of the Setting up Monitoring tools and Dashboards ( Grafana/kafka)
- • Excellent problem-solving, Log Analysis and troubleshooting skills
- • Experience in setting up centralized logging for system (EKS, EC2) and application
- • Process-oriented with great documentation skills
- • Ability to work effectively within a team and with minimal supervision
Required qualifications and must have skills
-
5+ years of experience managing a team of 5+ infrastructure software engineers
-
5+ years of experience in building and scaling technical infrastructure
-
5+ years of experience in delivering software
-
Experience leading by influence in multi-team, cross-functional projects
-
Demonstrated experience recruiting and managing technical teams, including performance management and managing engineers
-
Experience with cloud service providers such as AWS, GCP, or Azure
-
Experience with containerization technologies such as Kubernetes and Docker
Nice to have Skills
-
Experience with Hadoop, Hive and Presto
-
Application/infrastructure benchmarking and optimization
-
Familiarity with modern CI/CD practices
-
Familiarity with reliability best practices
Hands on experience in:
- Deploying, managing, securing and patching enterprise applications on large scale in Cloud preferably AWS.
- Experience leading End-to-end DevOps projects with modern tools encompassing both Applications and Infrastructure
- AWS Code deploy, Code build, Jenkins, Sonarqube.
- Incident management and root cause analysis.
- Strong understanding of immutable infrastructure and infrastructure as code concepts. Participate in capacity planning and provisioning of new resources. Importing already deployed infra into IaaC.
- Utilizing AWS cloud services such as EC2, S3, IAM, Route53, RDS, VPC, NAT/IG Gateway, LAMBDA, Load Balancers, CloudWatch, API Gateway are some of them.
- AWS ECS managing multi cluster container environments (ECS with EC2 and Fargate with service discovery using Route53)
- Monitoring/analytics tools like Nagios/DataDog and logging tools like LogStash/SumoLogic
- Simple Notification Service (SNS)
- Version Control System: Git, Gitlab, Bitbucket
- Participate in Security Audit of Cloud Infrastructure.
- Exceptional documentation and communication skills.
- Ready to work in Shift
- Knowledge of Akamai is Plus.
- Microsoft Azure is Plus
- Adobe AEM is plus.
- AWS Certified DevOps Professional is plus
Position Summary
DevOps is a Department of Horizontal Digital, within which we have 3 different practices.
- Cloud Engineering
- Build and Release
- Managed Services
This opportunity is for Cloud Engineering role who also have some experience with Infrastructure migrations, this will be a complete hands-on job, with focus on migrating clients workloads to the cloud, reporting to the Solution Architect/Team Lead and along with that you are also expected to work on different projects for building out the Sitecore Infrastructure from scratch.
We are Sitecore Platinum Partner and majority of the Infrastructure work that we are doing is for Sitecore.
Sitecore is a .Net Based Enterprise level Web CMS, which can be deployed on On-Prem, IaaS, PaaS and Containers.
So, most of our DevOps work is currently planning, architecting and deploying infrastructure for Sitecore.
Key Responsibilities:
- This role includes ownership of technical, commercial and service elements related to cloud migration and Infrastructure deployments.
- Person who will be selected for this position will ensure high customer satisfaction delivering Infra and migration projects.
- Candidate must expect to work in parallel across multiple projects, along with that candidate must also have a fully flexible approach to working hours.
- Candidate should keep him/herself updated with the rapid technological advancements and developments that are taking place in the industry.
- Along with that candidate should also have a know-how on Infrastructure as a code, Kubernetes, AKS/EKS, Terraform, Azure DevOps, CI/CD Pipelines.
Requirements:
- Bachelor’s degree in computer science or equivalent qualification.
- Total work experience of 6 to 8 Years.
- Total migration experience of 4 to 6 Years.
- Multiple Cloud Background (Azure/AWS/GCP)
- Implementation knowledge of VMs, Vnet,
- Know-how of Cloud Readiness and Assessment
- Good Understanding of 6 R's of Migration.
- Detailed understanding of the cloud offerings
- Ability to Assess and perform discovery independently for any cloud migration.
- Working Exp. on Containers and Kubernetes.
- Good Knowledge of Azure Site Recovery/Azure Migrate/Cloud Endure
- Understanding on vSphere and Hyper-V Virtualization.
- Working experience with Active Directory.
- Working experience with AWS Cloud formation/Terraform templates.
- Working Experience of VPN/Express route/peering/Network Security Groups/Route Table/NAT Gateway, etc.
- Experience of working with CI/CD tools like Octopus, Teamcity, Code Build, Code Deploy, Azure DevOps, GitHub action.
- High Availability and Disaster Recovery Implementations, taking into the consideration of RTO and RPO aspects.
- Candidates with AWS/Azure/GCP Certifications will be preferred.










