DevOps Engineer Senior

Job Title : Azure DevOps Engineer

Experience Required : 7+ Years

Work Mode : Remote / Hybrid

Location : Remote

Notice Period : Immediate Joiners / Serving Candidates (within 20 days only)

Interview Mode : Face-to-Face or Virtual

Open Positions : 2

Job Description :

We are seeking an experienced Azure DevOps Engineer with 7+ years of relevant experience in DevOps practices, especially around Azure infrastructure, deployment automation, and CI/CD pipeline management. The ideal candidate should have hands-on expertise with Azure DevOps, GitHub, YAML, and Azure services, along with solid communication and coordination capabilities.

Mandatory Skills : Azure DevOps, GitHub Actions, YAML, Bicep, Azure services (App Gateway, WAF, NSG, CosmosDB, Storage Accounts), Unix scripting, and Azure Fundamentals certification.

Key Responsibilities :

• Manage deployments for Dynamics 365 and proxy applications
• Run and maintain ADO pipelines and GitHub Actions
• Ensure proper status updates on ADO Boards and deployed work items
• Coordinate with QA teams to execute smoke testing post-deployment
• Communicate deployment progress across team channels effectively
• Monitor deployment cycles, approval gates, logs, and alerts
• Ensure smooth integration of infrastructure and DevOps practices

Mandatory Skills :

• Minimum 7+ years in DevOps, with strong experience in Azure DevOps (ADO).
• Proven expertise in building pipelines using Azure DevOps and GitHub.
• Proficiency in Bicep, YAML scripting, and Azure Infrastructure-as-Code (IaC).
• Hands-on with Azure services like :
• App Gateway, WAF, NSG, CosmosDB, Storage Accounts.
• vNet, Managed Identity, KeyVault, AppConfig, App Insights.
• Basic Azure Fundamentals Certification (AZ-900).
• Excellent communication skills in English.

Nice to Have :

• Experience in managing large enterprise-scale deployments.
• Familiarity with branching strategies and monitoring tools.
• Exposure to Approval Gates and Deployment Governance.

Role: Senior Platform Engineer (GCP Cloud)

Experience Level: 3 to 6 Years

Work location: Mumbai

Mode : Hybrid

Role & Responsibilities:

• Build automation software for cloud platforms and applications
• Drive Infrastructure as Code (IaC) adoption
• Design self-service, self-healing monitoring and alerting tools
• Automate CI/CD pipelines (Git, Jenkins, SonarQube, Docker)
• Build Kubernetes container platforms
• Introduce new cloud technologies for business innovation

Requirements:

• Hands-on experience with GCP Cloud
• Knowledge of cloud services (compute, storage, network, messaging)
• IaC tools experience (Terraform/CloudFormation)
• SQL & NoSQL databases (Postgres, Cassandra)
• Automation tools (Puppet/Chef/Ansible)
• Strong Linux administration skills
• Programming: Bash/Python/Java/Scala
• CI/CD pipeline expertise (Jenkins, Git, Maven)
• Multi-region deployment experience
• Agile/Scrum/DevOps methodology

Job Title: Senior Devops Engineer (Full-time)

Location: Mumbai, Onsite

Experience Required: 5+ Years

Job Description

We are seeking an experienced DevOps Engineer to build and manage infrastructure for a FinTech product company operating with stateful microservices. The deployment environments include hybrid cloud and on-premise setups. The ideal candidate must have strong production experience with Kubernetes, cloud platforms, and infrastructure automation.

Key Responsibilities

• Design, build, and manage infrastructure for stateful microservices (databases, queues, caching layers).
• Work on Kubernetes environments—both managed (EKS/AKS/GKE) and self-managed clusters.
• Build, enhance, and maintain custom Helm Charts for complex deployments.
• Set up and manage CI/CD pipelines using ArgoCD, FluxCD, or similar GitOps tools.
• Architect and optimize multi-tenant deployment models.
• Implement and manage high availability, load balancing, certificate management (SSL/TLS).
• Design deployment architectures based on business requirements.
• Manage cloud infrastructure on AWS/Azure including VPC, IAM, cloud networking, and security.
• Work with Infrastructure-as-Code (IaC) tools (Terraform/CloudFormation/Pulumi), including writing reusable modules.
• Monitor, troubleshoot, and optimize performance across production environments.
• Ensure security best practices in networking, access control, and secrets management.

Mandatory Skills

• 5+ years of DevOps experience in product-based companies (not services/consulting).
• Strong hands-on experience with stateful microservices in production.
• Deep expertise in Kubernetes (managed + self-managed).
• Strong ability to write custom Helm Charts.
• Experience with multi-tenant production environments.
• Expertise in AWS or Azure (cloud networking, IAM, VPC, security groups, etc.).
• Experience setting up GitOps-based CI/CD (ArgoCD/FluxCD).
• Strong understanding of HA, load balancing, DNS, SSL/TLS certificates.
• Ability to justify architectural decisions and propose deployment designs.
• Hands-on experience with IaC tools and writing custom Terraform/Pulumi modules.

Nice to Have

• Exposure to hybrid cloud deployments
• Knowledge of on-premise orchestration & networking
• Experience with service mesh (e.g., Istio, Linkerd)
• Experience with monitoring/logging tools (Prometheus, Grafana, Loki, ELK)

We are seeking a skilled DevOps Engineer with 3+ years of experience to join our team on a permanent work-from-home basis.

Responsibilities:

• Develop and maintain infrastructure using Ansible.
• Write Ansible playbooks.
• Implement CI/CD pipelines.
• Manage GitLab repositories.
• Monitor and troubleshoot infrastructure issues.
• Ensure security and compliance.
• Document best practices.

Qualifications:

• Proven DevOps experience.
• Expertise with Ansible and CI/CD pipelines.
• Proficient with GitLab.
• Strong scripting skills.
• Excellent problem-solving and communication skills.

Regards,

Aishwarya M

Associate HR

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.

Please find the JD below: 

• Candidate should have good Platform experience on Azure with Terraform. 
• The devops engineer needs to help developers, create the Pipelines and K8s Deployment Manifests. 
• Good to have experience on migrating data from (AWS) to Azure. 

• To manage/automate infrastructure automatically using Terraforms. Jenkins is the key CI/CD tool which we uses and it will be used to run these Terraforms. 
• VMs to be provisioned on Azure Cloud and managed. 
• Good hands-on experience of Networking on Cloud is required. 
• Ability to setup Database on VM as well as managed DB and Proper set up of cloud hosted microservices needs to be done to communicate with the db services. 
• Kubernetes, Storage, KeyValult, Networking (load balancing and routing) and VMs are the key infrastructure expertise which are essential. 

• Requirement is to administer Kubernetes cluster end to end. (Application deployment, managing namespaces, load balancing, policy setup, using blue green/canary deployment models etc). 
• The experience in AWS is desirable. 
• Python experience is optional however Power shell is mandatory. 
• Know-how on the use of GitHub 
• Administration of Azure Kubernetes services 

Role 

We are looking for an experienced DevOps engineer that will help our team establish DevOps practice. You will work closely with the technical lead to identify and establish DevOps practices in the company.

You will also help us build scalable, efficient cloud infrastructure. You’ll implement monitoring for automated system health checks. Lastly, you’ll build our CI pipeline, and train and guide the team in DevOps practices.

This would be a hybrid role and the person would be expected to also do some application level programming in their downtime.

Responsibilities

• Deployment, automation, management, and maintenance of production systems.
• Ensuring availability, performance, security, and scalability of production systems.
• Evaluation of new technology alternatives and vendor products.
• System troubleshooting and problem resolution across various application domains and platforms.
• Providing recommendations for architecture and process improvements.
• Definition and deployment of systems for metrics, logging, and monitoring on AWS platform.
• Manage the establishment and configuration of SaaS infrastructure in an agile way by storing infrastructure as code and employing automated configuration management tools with a goal to be able to re-provision environments at any point in time.
• Be accountable for proper backup and disaster recovery procedures.
• Drive operational cost reductions through service optimizations and demand based auto scaling.
• Have on call responsibilities.
• Perform root cause analysis for production errors
• Uses open source technologies and tools to accomplish specific use cases encountered within the project.
• Uses coding languages or scripting methodologies to solve a problem with a custom workflow.

Requirements

• Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.

• Prior experience as a software developer in a couple of high level programming languages.

• Extensive experience in any Javascript based framework since we will be deploying services to NodeJS on AWS Lambda (Serverless)

• Extensive experience with web servers such as Nginx/Apache

• Strong Linux system administration background.
• Ability to present and communicate the architecture in a visual form.
• Strong knowledge of AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, NAT gateway, DynamoDB)
• Experience maintaining and deploying highly-available, fault-tolerant systems at scale (~ 1 Lakh users a day)
• A drive towards automating repetitive tasks (e.g. scripting via Bash, Python, Ruby, etc)
• Expertise with Git
• Experience implementing CI/CD (e.g. Jenkins, TravisCI)
• Strong experience with databases such as MySQL, NoSQL, Elasticsearch, Redis and/or Mongo.
• Stellar troubleshooting skills with the ability to spot issues before they become problems.
• Current with industry trends, IT ops and industry best practices, and able to identify the ones we should implement.
• Time and project management skills, with the capability to prioritize and multitask as needed.