
we’d love to speak with you. Skills and Qualifications:
Strong experience with continuous integration/continuous deployment (CI/CD) pipeline tools such as Jenkins, TravisCI, or GitLab CI.
Proficiency in scripting languages such as Python, Bash, or Ruby.
Knowledge of infrastructure automation tools such as Ansible, Puppet, or Terraform.
Experience with cloud platforms such as AWS, Azure, or GCP.
Knowledge of container orchestration tools such as Docker, Kubernetes, or OpenShift.
Experience with version control systems such as Git.
Familiarity with Agile methodologies and practices.
Understanding of networking concepts and principles.
Knowledge of database technologies such as MySQL, MongoDB, or PostgreSQL.
Good understanding of security and data protection principles.
Roles and responsibilities:
● Building and setting up new development tools and infrastructure
● Working on ways to automate and improve development and release processes
● Deploy updates and fixes
● Helping to ensure information security best practices
● Provide Level 2 technical support
● Perform root cause analysis for production errors
● Investigate and resolve technical issues

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Associate Principal Engineer, Linux Administrator
Location: Bengaluru, India (Hybrid)
Employment Type: Full-time
Experience:9-11 years
Job description
REQUIREMENTS:
- Strong experience in DevOps, Platform Engineering, and Infrastructure Automation
- Deep hands-on expertise in Linux Administration (RHEL, CentOS, Ubuntu) – OS hardening, security, patching, and performance management (Must Have)
- Strong experience with Cloud Technologies – Public & Private Cloud environments (Must Have)
- Hands-on experience with Infrastructure as Code (IaC) using Terraform (Must Have)
- Strong automation expertise using Ansible for configuration management and infrastructure provisioning (Must Have)
- Experience building and managing CI/CD pipelines and end-to-end deployment automation
- Strong experience with Kubernetes administration, orchestration, and cluster management (Must Have)
- Hands-on experience with Docker containerization and Helm package management
- Experience managing large-scale development and infrastructure environments
- Strong understanding of Networking concepts, connectivity, design, troubleshooting, and network automation
- Experience with Observability & Monitoring tools and best practices
- Experience with Proxmox virtualization platform administration and management
- Knowledge of Edge Technologies and distributed infrastructure environments
- Basic understanding and administration of Active Directory (AD)
- Experience implementing AI-driven Automation solutions and operational efficiencies
- Strong understanding of infrastructure security, compliance, and governance
- Experience working in Agile/Scrum environments
- Strong troubleshooting, analytical, and problem-solving skills
- Excellent communication and stakeholder management skills
RESPONSIBILITIES:
- Design, build, and manage scalable infrastructure platforms across cloud and on-premise environments
- Administer and maintain Linux servers including security hardening, patching, performance tuning, and troubleshooting
- Develop and manage Infrastructure as Code (IaC) solutions using Terraform
- Automate infrastructure provisioning, configuration management, and operational tasks using Ansible
- Design, implement, and maintain CI/CD pipelines for application and infrastructure deployments
- Deploy, manage, and optimize Kubernetes clusters and containerized workloads
- Manage Docker environments and Helm-based application deployments
- Design and implement network solutions ensuring security, reliability, and scalability
- Monitor infrastructure health, performance, and availability using observability and monitoring tools
- Manage and support Proxmox virtualization environments
- Implement AI-driven automation initiatives to improve operational efficiency and reduce manual effort
- Support edge infrastructure deployments and distributed computing environments
- Collaborate with development, security, and operations teams to deliver reliable platform services
- Troubleshoot production incidents and perform root cause analysis
- Define infrastructure standards, automation frameworks, and operational best practices
- Ensure high availability, scalability, security, and reliability of infrastructure platforms
- Mentor junior engineers and provide technical leadership on DevOps and platform engineering initiatives
- Participate in Agile ceremonies and contribute to continuous improvement initiatives
- Work closely with stakeholders to understand infrastructure requirements and deliver optimal solutions
Qualifications
Bachelor’s or master’s degree in computer science, Information Technology, or a related fields
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: 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.
- 2+ years work experience in a DevOps or similar role
- Knowledge of OO programming and concepts (Java, C++, C#, Python)
- A drive towards automating repetitive tasks (e.g., scripting via Bash, Python, etc)
- Fluency in one or more scripting languages such as Python or Ruby.
- Familiarity with Microservice-based architectures
- Practical experience with Docker containerization and clustering (Kubernetes/ECS)
- In-depth, hands-on experience with Linux, networking, server, and cloud architectures.
- Experience with CI/CD tools Azure DevOps, AWS cloud formation, Lamda functions, Jenkins, and Ansible
- Experience with AWS, Azure, or another cloud PaaS provider.
- Solid understanding of configuration, deployment, management, and maintenance of large cloud-hosted systems; including auto-scaling, monitoring, performance tuning, troubleshooting, and disaster recovery
- Proficiency with source control, continuous integration, and testing pipelines
- Effective communication skills
Job Responsibilities:
- Deploy and maintain critical applications on cloud-native microservices architecture.
- Implement automation, effective monitoring, and infrastructure-as-code.
- Deploy and maintain CI/CD pipelines across multiple environments.
- Streamline the software development lifecycle by identifying pain points and productivity barriers and determining ways to resolve them.
- Analyze how customers are using the platform and help drive continuous improvement.
- Support and work alongside a cross-functional engineering team on the latest technologies.
- Iterate on best practices to increase the quality & velocity of deployments.
- Sustain and improve the process of knowledge sharing throughout the engineering team
- Identification and prioritization of technical debt that risks instability or creates wasteful operational toil.
- Own daily operational goals with the team.
DevOps Engineer
Job Description:
The position requires a broad set of technical and interpersonal skills that includes deployment technologies, monitoring and scripting from networking to infrastructure. Well versed in troubleshooting Prod issues and should be able to drive till the RCA.
Skills:
- Manage VMs across multiple datacenters and AWS to support dev/test and production workloads.
- Strong hands-on over Ansible is preferred
- Strong knowledge and hands-on experience in Kubernetes Architecture and administration.
- Should have core knowledge in Linux and System operations.
- Proactively and reactively resolve incidents as escalated from monitoring solutions and end users.
- Conduct and automate audits for network and systems infrastructure.
- Do software deployments, per documented processes, with no impact to customers.
- Follow existing devops processes while having flexibility to create and tweak processes to gain efficiency.
- Troubleshoot connectivity problems across network, systems or applications.
- Follow security guidelines, both policy and technical to protect our customers.
- Ability to automate recurring tasks to increase velocity and quality.
- Should have worked on any one of the Database (Postgres/Mongo/Cockroach/Cassandra)
- Should have knowledge and hands-on experience in managing ELK clusters.
- Scripting Knowledge in Shell/Python is added advantage.
- Hands-on Experience over K8s based Microservice Architecture is added advantage.
- Equal Experts is an innovative software delivery consultancy specializing in the delivery of custom software solutions for blue-chip enterprise and public sector clients across a range of industry sectors.
- We deliver market-leading propositions across the digital, online and mobile channels, and are recognized for our leadership in the application of Agile and Lean delivery methods to assure delivery.
- We are focused on hiring DevOps Engineers with skills in AWS, Automation tools, CI/CD tools and the likes.
- The DevOps Consultant will be working with an on-site client team and will be expected to mentor and share their skills and knowledge with the existing client developers.
Your Responsibilities Include:
- Continuous Delivery of quality software created by our project teams. Ensuring smooth build and release with continuous integration.
- Configuration Management - Design and implementation of deployment strategies for multiple projects.
- Virtualization and Infrastructure Provisioning.
- Maintenance and upgrade of our cloud environment (AWS).
- Version control and source code administration.
- Administration of Web Servers, Application Servers and Servlet Containers
- Setting up and managing the Automation efforts for multiple projects.
Technical Expertise:
- Should have worked on Agile projects featuring weekly iterations and releases.
- Should have extensive hands-on experience with:
- Continuous Integration tools like Jenkins.
- Configuration Management tools like Terraform or Ansible.
- Cloud computing using AWS, EC2.
- Hands-on experience on Kubernetes.
- Virtualization tools like Vagrant, Docker or VMWare
- You have an active presence in the DevOps community through your blogs, Stack Overflow and GitHub profiles.
- You are passionate about DevOps. You love to mentor people and evangelize about best practices and innovations in DevOps.
- Working on scalability, maintainability and reliability of company's products.
- Working with clients to solve their day-to-day challenges, moving manual processes to automation.
- Keeping systems reliable and gauging the effort it takes to reach there.
- Understanding Juxtapose tools and technologies to choose x over y.
- Understanding Infrastructure as a Code and applying software design principles to it.
- Automating tedious work using your favourite scripting languages.
- Taking code from the local system to production by implementing Continuous Integration and Delivery principles.
What you need to have:
- Worked with any one of the programming languages like Go, Python, Java, Ruby.
- Work experience with public cloud providers like AWS, GCP or Azure.
- Understanding of Linux systems and Containers
- Meticulous in creating and following runbooks and checklists
- Microservices experience and use of orchestration tools like Kubernetes/Nomad.
- Understanding of Computer Networking fundamentals like TCP, UDP.
- Strong bash scripting skills.
Our client is a call management solutions company, which helps small to mid-sized businesses use its virtual call center to manage customer calls and queries. It is an AI and cloud-based call operating facility that is affordable as well as feature-optimized. The advanced features offered like call recording, IVR, toll-free numbers, call tracking, etc are based on automation and enhances the call handling quality and process, for each client as per their requirements. They service over 6,000 business clients including large accounts like Flipkart and Uber.
- Beng involved in Configuration Management, Web Services Architectures, DevOps Implementation, Build & Release Management, Database management, Backups, and Monitoring.
- Creating and managing CI/ CD pipelines for microservice architectures.
- Creating and managing application configuration.
- Researching and planning architectures and tools for smooth deployments.
- Logging, metrics and alerting management.
What you need to have:
- Proficient in Linux Commands line and troubleshooting.
- Proficient in designing CI/ CD pipelines using jenkins. Experience in deployment using Ansible.
- Experience in microservices architecture deployment, Hands-on experience on Docker, Kubernetes, EKS.
- Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloudformation etc.
- Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
- Configuration management tools like ansible/chef/puppet.
- Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache.
- Proficient in bash scripting, python scripting is an advantage.
- Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.
- Proficient in Configuration Management.
DevOps
Engineers : Min 3 to 5 Years
Tech Leads : Min 6 to 10 Years
- Implementing & supporting CI/CD/CT pipelines at scale.
- Knowledge and experience using Chef, Puppet or Ansible automation to deploy and be able to manage Linux systems in production and CI environments.
- Extensive experience with Shell scripts (bash).
- Knowledge and practical experience of Jenkins for CI.
- Experienced in build & release management.
- Experience of deploying JVM based applications.
- Enterprise AWS deployment with sound knowledge on AWS & AWS security.
- Knowledge of encryption technologies: IPSec, SSL, SSH.
- Minimum of 2 years of experience as a Linux Systems Engineer (CentOS/Red Hat) ideally supporting a highly-available, 24x7 production environments.
- DNS providing and maintenance.
- Helpful skills: Knowledge of applications relying on Maven, Ant, Gradle, Spring Boot.
- Knowledge of app and server monitoring tools such as ELK/AppEngine.
- Excellent written, oral communication and interpersonal skills.
- Automate deployments of infrastructure components and repetitive tasks.
- Drive changes strictly via the infrastructure-as-code methodology.
- Promote the use of source control for all changes including application and system-level changes.
- Design & Implement self-recovering systems after failure events.
- Participate in system sizing and capacity planning of various components.
- Create and maintain technical documents such as installation/upgrade MOPs.
- Coordinate & collaborate with internal teams to facilitate installation & upgrades of systems.
- Support 24x7 availability for corporate sites & tools.
- Participate in rotating on-call schedules.
- Actively involved in researching, evaluating & selecting new tools & technologies.
- Cloud computing – AWS, OCI, OpenStack
- Automation/Configuration management tools such as Terraform & Chef
- Atlassian tools administration (JIRA, Confluence, Bamboo, Bitbucket)
- Scripting languages - Ruby, Python, Bash
- Systems administration experience – Linux (Redhat), Mac, Windows
- SCM systems - Git
- Build tools - Maven, Gradle, Ant, Make
- Networking concepts - TCP/IP, Load balancing, Firewall
- High-Availability, Redundancy & Failover concepts
- SQL scripting & queries - DML, DDL, stored procedures
- Decisive and ability to work under pressure
- Prioritizing workload and multi-tasking ability
- Excellent written and verbal communication skills
- Database systems – Postgres, Oracle, or other RDBMS
- Mac automation tools - JAMF or other
- Atlassian Datacenter products
- Project management skills
Qualifications
- 3+ years of hands-on experience in the field or related area
- Requires MS or BS in Computer Science or equivalent field










