Software Architect/CTO

Job Summary :

We are looking for a proactive and skilled DevOps Engineer to join our team and play a key role in building, managing, and scaling infrastructure for high-performance systems. The ideal candidate will have hands-on experience with Kubernetes, Docker, Python scripting, cloud platforms, and DevOps practices around CI/CD, monitoring, and incident response.

Key Responsibilities :

- Design, build, and maintain scalable, reliable, and secure infrastructure on cloud platforms such as AWS.

- Implement Infrastructure as Code (IaC) using tools like Terraform, Cloud Formation, or similar.

- Manage Kubernetes clusters, configure namespaces, services, deployments, and auto scaling. CI/CD & Release Management

- Build and optimize CI/CD pipelines for automated testing, building, and deployment of services.

- Collaborate with developers to ensure smooth and frequent deployments to production.

- Manage versioning and rollback strategies for critical deployments.

- Containerization & Orchestration using Kubernetes.

- Containerize applications using Docker, and manage them using Kubernetes.

- Write automation scripts using Python or Shell for infrastructure tasks, monitoring, and deployment flows.

- Develop utilities and tools to enhance operational efficiency and reliability.

- Monitoring & Incident Management

- Analyze system performance and implement infrastructure scaling strategies based on load and usage trends.

- Optimize application and system performance through proactive monitoring and configuration tuning.

Desired Skills and Experience :

- Experience Required - 6+ yrs.

- Hands-on experience on cloud services like AWS, EKS etc.

- Ability to design a good cloud solution.

- Strong Linux troubleshooting, Shell Scripting, Kubernetes, Docker, Ansible, Jenkins Skills.

- Design and implement the CI/CD pipeline following the best industry practices using open-source tools.

- Use knowledge and research to constantly modernize our applications and infrastructure stacks.

- Be a team player and strong problem-solver to work with a diverse team.

- Having good communication skills.

Job Details:

• Role: Staff Engineer, ArgoCD
• Experience: 5.5-7.5 Years
• Employment Type: Full-time
• Work Mode: Gurugram (Hybrid)

Job Description

REQUIREMENTS:

• Strong hands-on experience with Kubernetes (K8s) administration, deployment, and troubleshooting
• Expertise in GitOps implementation using ArgoCD
• Strong experience with Crossplane for infrastructure provisioning and orchestration
• Hands-on experience with New Relic for monitoring, observability, and performance management
• Experience building and maintaining CI/CD pipelines and deployment automation
• Strong knowledge of Infrastructure as Code (IaC) using Terraform
• Experience working with AWS cloud services and cloud-native architectures
• Hands-on experience with Docker and containerization technologies
• Strong Linux administration and scripting skills
• Experience implementing platform reliability, security, and automation best practices
• Strong understanding of monitoring, logging, and observability frameworks

RESPONSIBILITIES:

• Manage, maintain, and optimize Kubernetes-based infrastructure and application deployments
• Implement and support GitOps workflows using ArgoCD
• Design and manage infrastructure provisioning using Crossplane
• Monitor platform performance, reliability, and user experience using New Relic
• Build, enhance, and maintain CI/CD pipelines for automated software delivery
• Collaborate with development and platform engineering teams to deliver scalable cloud-native solutions
• Implement Infrastructure as Code practices using Terraform and automation tools
• Ensure platform stability, security, scalability, and operational excellence
• Troubleshoot infrastructure, deployment, and performance-related issues
• Drive continuous improvement initiatives across DevOps processes, tooling, and automation practices
• Support cloud infrastructure management and containerized application environments on AWS
• Promote DevOps best practices, governance, and operational standards across teams

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related fields   

Job Details

- Job Title: Lead DevOps Engineer

- Industry: Consumer Internet, Technology & Travel and Tourism Platform

- Function - IT

- Experience Required: 7-10 years

- Employment Type: Full Time

- Job Location: Bengaluru

- CTC Range: Best in Industry

Criteria:

• Strong Lead DevOps / Infrastructure Engineer Profiles.
• Must have 7+ years of hands-on experience working as a DevOps / Infrastructure Engineer.
• Candidate’s current title must be Lead DevOps Engineer (or equivalent Lead role) in the current organization
• Must have minimum 2+ years of team management / technical leadership experience, including mentoring engineers, driving infrastructure decisions, or leading DevOps initiatives.
• Must have strong hands-on experience with Kubernetes (container orchestration) including deployment, scaling, and cluster management.
• Must have experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, Chef, or Puppet.
• Must have strong scripting and automation experience using Python, Go, Bash, or similar scripting languages.
• Must have working experience with distributed databases or data systems such as MongoDB, Redis, Cassandra, Elasticsearch, or Puppet.
• Must have strong hands-on experience in Observability & Monitoring, CI/CD architecture, and Networking concepts in production environments.
• (Company) – Must be from B2C Product Companies only.
• (Education) – B.E/ B.Tech

Preferred

• Experience working in microservices architecture and event-driven systems.
• Exposure to cloud infrastructure, scalability, reliability, and cost optimization practices.
• (Skills) – Understanding of programming languages such as Go, Python, or Java.
• (Environment) – Experience working in high-growth startup or large-scale production environments.

Job Description 

As a DevOps Engineer, you will be working on building and operating infrastructure at scale, designing and implementing a variety of tools to enable product teams to build and deploy their services independently, improving observability across the board, and designing for security, resiliency, availability, and stability. If the prospect of ensuring system reliability at scale and exploring cutting-edge technology to solve problems, excites you, then this is your fit.

Job Responsibilities:

• Own end-to-end infrastructure right from non-prod to prod environment including self-managed DBs
• Codify our infrastructure
• Do what it takes to keep the uptime above 99.99%
• Understand the bigger picture and sail through the ambiguities
• Scale technology considering cost and observability and manage end-to-end processes
• Understand DevOps philosophy and evangelize the principles across the organization
• Strong communication and collaboration skills to break down the silos

The DevOps Engineer will play a critical role in operationalizing artificial intelligence across Bell Techlogix client environments. This role focuses on building and supporting cloud infrastructure, CI/CD pipelines, and automation frameworks that power AI and machine learning workloads. The ideal candidate has experience supporting AI platforms such as Azure AI, Azure Machine Learning, Azure OpenAI, and ServiceNow or conversational AI platforms, and understands the operational requirements of production AI systems, including reliability, scalability, and security. 

Key Responsibilities 

•Design, build, and operate cloud infrastructure and platform services that support AI and machine learning workloads in production, SLA-driven managed services environments 

•Implement CI/CD and MLOps pipelines to enable automated training, testing, deployment, and rollback of AI and ML models 

•Develop and maintain Infrastructure as Code to provision AI-ready environments consistently across dev/test/prod 

•Support AI platform operations including monitoring model health, pipeline execution, compute utilization, and data dependencies 

•Partner with Machine Learning Engineers and Data Engineers to standardize deployment patterns for AI services and LLM-based solutions 

•Enable secure and scalable AI integrations using APIs, messaging, and event-driven architectures 

•Implement observability solutions for AI platforms, including logging, metrics, alerting, and drift detection integrations 

•Troubleshoot AI platform incidents, perform root cause analysis, and implement remediation to improve reliability and automation coverage 

•Apply security best practices for AI environments including secrets management, identity and access controls, network isolation, and policy enforcement 

•Support AI-driven automation use cases across platforms such as Microsoft Copilot, ServiceNow, and conversational AI tools 

•Collaborate with service desk, security, and architecture teams to continuously improve AI service delivery and operational maturity 

Required Qualifications 

•Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience 

•5+ years of experience in DevOps, cloud engineering, or platform operations, with exposure to AI or data workloads 

•Hands-on experience with Microsoft Azure, including compute, networking, storage, and monitoring services 

•Experience building CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools 

•Working knowledge of Infrastructure as Code (Terraform and/or Bicep/ARM) 

•Scripting experience using PowerShell and/or Python 

•Experience supporting production platforms with incident management, change control, and root cause analysis 

•Understanding of cloud security fundamentals and enterprise governance requirements 

Preferred Qualifications 

•Experience with Azure Machine Learning, Azure AI Services, Azure OpenAI, or MLOps frameworks 

•Exposure to containerization and orchestration technologies (Docker, Kubernetes, AKS) 

•Experience supporting data pipelines or feature stores used by machine learning systems 

•Familiarity with ServiceNow, AI-driven ITSM workflows, or automation platforms 

•Experience with observability tools 

•Knowledge of Responsible AI, data governance, and compliance considerations for AI systems 

•Relevant certifications (Microsoft Azure Administrator, Azure DevOps Engineer, Azure AI Engineer)

Azure DevOps engineer should have a deep understanding of container principles and hands-on experience with Docker. 

They should also be able to set-up and manage clusters using Azure Kubernetes Service (AKS). Additionally, understanding of API management, Azure Key-Vaults, ACR, networking concepts like virtual networks, subnets, NSG, route tables. Awareness of any one of the software like Apigee, Kong, or APIM in Azure is a must. Strong experience with IaC technologies like Terraform, ARM/ Bicep Templates, GitHub Pipelines, Sonar etc.

• Designing DevOps strategies: Recommending strategies for migrating and consolidating DevOps tools, designing an Agile work management approach, and creating a secure development process
• Implementing DevOps development processes: Designing version control strategies, integrating source control, and managing build infrastructure
• Managing application configuration and secrets: Ensuring system and infrastructure availability, stability, scalability, and performance
• Automating processes: Overseeing code releases and deployments with an emphasis on continuous integration and delivery
• Collaborating with teams: Working with architect and developers to ensure smooth code integration and collaborating with development and operations teams to define pipelines.
• Documentation: Producing detailed Development Architecture design, setting up the DevOps tools and working together with the CI/CD specialist in integrating the automated CI and CD pipelines with those tools
• Ensuring security and compliance/DevSecOps: Managing code quality and security policies
• Troubleshooting issues: Investigating issues and responding to customer queries
• Core Skills: Azure DevOps engineer should have a deep understanding of container principles and hands-on experience with Docker. They should also be able to set-up and manage clusters using Azure Kubernetes Service (AKS). Additionally, understanding of API management, Azure Key-Vaults, ACR, networking concepts like virtual networks, subnets, NSG, route tables. Awareness of any one of the software like Apigee, Kong, or APIM in Azure is a must. Strong experience with IaC technologies like Terraform, ARM/ Bicep Templates, GitHub Pipelines, Sonar,
• Additional Skills: Self-starter and ability to execute tasks on time, Excellent communication skills, ability to come up with multiple solutions for problems, interact with client-side experts to resolve issues by providing correct pointers, excellent debugging skills, ability to breakdown tasks into smaller steps.

DevOps & Automation:

• Experience in CI/CD tools like Azure DevOps, YAML, Git, and GitHub. Capable of automating build, test, and deployment processes to streamline application delivery.
• Hands-on experience with Infrastructure as Code (IaC) tools such as Bicep (preferred), Terraform, Ansible, and ARM Templates.

Cloud Services & Architecture:

• Experience in Azure Cloud services, including Web Apps, AKS, Application Gateway, APIM, and Logic Apps.
• Good understanding of cloud design patterns, security best practices, and cost optimization strategies.

Scripting & Automation:

• Experience in developing and maintaining automation scripts using PowerShell to manage, monitor, and support applications.
• Familiar with Azure CLI, REST APIs, and automating workflows using Azure DevOps Pipelines.

Data Integration & ADF:

• Working knowledge or basic hands-on experience with Azure Data Factory (ADF), focusing on developing and managing data pipelines and workflows.
• Knowledge of data integration practices, including ETL/ELT processes and data transformations.

Application Management & Monitoring:

• Ability to provide comprehensive support for both new and legacy applications.
• Proficient in managing and monitoring application performance using tools like Azure Monitor, Log Analytics, and Application Insights.
• Understanding of application security principles and best practices.

Database Skills:

• Basic experience of SQL and Azure SQL, including database backups, restores, and application data management.

Key Responsibilities

• As a part of the DevOps team, you will be responsible for the configuration, optimization, documentation, and support of the CI/CD components.

• Creating and managing build and release pipelines with Azure DevOps and Jenkins.

• Assist in planning and reviewing application architecture and design to promote an efficient deployment process.

• Troubleshoot server performance issues & handle the continuous integration system.

• Automate infrastructure provisioning using ARM Templates and Terraform.

• Monitor and Support deployment, Cloud-based and On-premises Infrastructure.

• Diagnose and develop root-cause solutions for failures and performance issues in the production environment.

• Deploy and manage Infrastructure for production applications

• Configure security best practices for application and infrastructure

Essential Requirements

• Good hands-on experience with cloud platforms like Azure, AWS & GCP. (Preferably Azure)

• Strong knowledge of CI/CD principles.

• Strong work experience with CI/CD implementation tools like Azure DevOps, Team City, Octopus Deploy, AWS Code Deploy, and Jenkins.

• Experience of writing automation scripts with PowerShell, Bash, Python, etc.

• GitHub, JIRA, Confluence, and Continuous Integration (CI) system.

• Understanding of secure DevOps practices

Good to Have -

•Knowledge of scripting languages such as PowerShell, Bash

• Experience with project management and workflow tools such as Agile, Jira, Scrum/Kanban, etc.

• Experience with Build technologies and cloud services. (Jenkins, TeamCity, Azure DevOps, Bamboo, AWS Code Deploy)

• Strong communication skills and ability to explain protocol and processes with team and management.

• Must be able to handle multiple tasks and adapt to a constantly changing environment.

• Must have a good understanding of SDLC.

• Knowledge of Linux, Windows server, Monitoring tools, and Shell scripting.

• Self-motivated; demonstrating the ability to achieve in technologies with minimal supervision.

• Organized, flexible, and analytical ability to solve problems creatively

As a DevOps Engineer, you are responsible for setting up and maintaining the GIT repository, DevOps tools like Jenkins, UCD, Docker, Kubernetes, Jfrog Artifactory, Cloud monitoring tools, and Cloud security.

• Set up, configure, and maintain GIT repos, Jenkins, UCD, etc. for multi-hosting cloud environments.
• Architect and maintain the server infrastructure in AWS. Build highly resilient infrastructure following industry best practices.
• Work on Docker images and maintain Kubernetes clusters.
• Develop and maintain the automation scripts using Ansible or other available tools.
• Maintain and monitor cloud Kubernetes Clusters and patching when necessary.
• Work on Cloud security tools to keep applications secured.
• Participate in software development lifecycle, specifically infra design, execution, and debugging required to achieve a successful implementation of integrated solutions within the portfolio.
• Have the necessary technical and professional expertise.

• Minimum 5-12 years of experience in the IT industry.
• Expertise in implementing and managing DevOps CI/CD pipeline.
• Experience in DevOps automation tools. Well versed with DevOps Frameworks, and Agile.
• Working knowledge of scripting using Shell, Python, Terraform, Ansible, Puppet, or chef.
• Experience and good understanding of any Cloud like AWS, Azure, or Google cloud.
• Knowledge of Docker and Kubernetes is required.
• Proficient in troubleshooting skills with proven abilities in resolving complex technical issues.
• Experience working with ticketing tools.
• Middleware technologies knowledge or database knowledge is desirable.
• Experience with Jira is a plus.

A wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain the quality of content, interact, and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the benefits of being here.

It  is a rapidly growing fintech SaaS firm that propels business growth while focusing on human motivation. Backed by Giift and Apis Partners Growth Fund II,offers a suite of three products - Plum, Empuls, and Compass. Works with more than 2000 clients across 10+ countries and over 2.5 million users. Headquartered in Bengaluru, It  is a 300+ strong team with four global offices in San Francisco, Dublin, Singapore, New Delhi.

We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. We however assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status.

• Develop and Maintain IAC using Terraform and Ansible
• Draft design documents that translate requirements into code.
• Deal with challenges associated with scale.
• Assume responsibilities from technical design through technical client support.
• Manage expectations with internal stakeholders and context-switch in a fast paced environment.
• Thrive in an environment that uses Elasticsearch extensively.
• Keep abreast of technology and contribute to the engineering strategy.
• Champion best development practices and provide mentorship

• Terraform o Ansible
• *nix and shell scripting
• Elasticsearch
• Circle CI
• CloudFormation
• Python
• Packer
• Docker
• Prometheus and Grafana
• Challenges of scale
• Production support
• Sharp analytical and problem-solving skills.
• Strong sense of ownership.
• Demonstrable desire to learn and grow.
• Excellent written and oral communication skills.
• Mature collaboration and mentoring abilities.