Technical Lead

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.

The candidate must have 2-3 years of experience in the domain. The responsibilities include:

● Deploying system on Linux-based environment using Docker

● Manage & maintain the production environment

● Deploy updates and fixes

● Provide Level 1 technical support

● Build tools to reduce occurrences of errors and improve customer experience

● Develop software to integrate with internal back-end systems

● Perform root cause analysis for production errors

● Investigate and resolve technical issues

● Develop scripts to automate visualization

● Design procedures for system troubleshooting and maintenance

● Experience working on Linux-based infrastructure

● Excellent understanding of MERN Stack, Docker & Nginx (Good to have Node Js)

● Configuration and managing databases such as Mongo

● Excellent troubleshooting

● Experience of working with AWS/Azure/GCP

● Working knowledge of various tools, open-source technologies, and cloud services

● Awareness of critical concepts in DevOps and Agile principles

● Experience of CI/CD Pipeline

• 5+ years of experience in DevOps including automated system configuration, application deployment, and infrastructure-as-code. 
• Advanced Linux system administration abilities. 
• Real-world experience managing large-scale AWS or GCP environments. Multi-account management a plus. 
• Experience with managing production environments on AWS or GCP. 
• Solid understanding CI/CD pipelines using GitHub, CircleCI/Jenkins, JFrog Artifactory/Nexus. 
• Experience on any configuration management tools like Ansible, Puppet or Chef is a must. 
• Experience in any one of the scripting languages: Shell, Python, etc. 
• Experience in containerization using Docker and orchestration using Kubernetes/EKS/GKE is a must. 
• Solid understanding of SSL and DNS. 
• Experience on deploying and running any open-source monitoring/graphing solution like Prometheus, Grafana, etc. 
• Basic understanding of networking concepts.
• Always adhere to security best practices.
• Knowledge on Bigdata (Hadoop/Druid) systems administration will be a plus.  
• Knowledge on managing and running DBs (MySQL/MariaDB/Postgres) will be an added advantage. 

What you get to do 

• Work with development teams to build and maintain cloud environments to specifications developed closely with multiple teams. Support and automate the deployment of applications into those environments 
• Diagnose and resolve occurring, latent and systemic reliability issues across entire stack: hardware, software, application and network. Work closely with development teams to troubleshoot and resolve application and service issues 
• Continuously improve Conviva SaaS services and infrastructure for availability, performance and security 
• Implement security best practices – primarily patching of operating systems and applications 
• Automate everything. Build proactive monitoring and alerting tools. Provide standards, documentation, and coaching to developers.
• Participate in 12x7 on-call rotations 
• Work with third party service/support providers for installations, support related calls, problem resolutions etc. 

Position Summary

Cloud Engineer helps to solutionize, enable, migrate and onboard clients to a secure cloud
platform, which offload the heavy lifting for the clients so that they can focus on their own business
value creation.

Job Description

• Assessing existing customer systems and/or cloud environment to determine the best migration approach and supporting tools used
• Build a secure and compliant cloud environment, with a proven enterprise operating model, on-going cost optimisation, and day-to-day infrastructure management
• Provide and implement cloud solutions to reduce operational overhead and risk, and automates common activities, such as change requests, monitoring, patch management, security, and backup services, and provides full-lifecycle services to provision, run, and support their infrastructure
• Collaborate with internal service teams to meet the clients’ needs for their infrastructure and application deployments
• Troubleshoot complex infrastructure deployments, recreate customer issues, and build proof of concept environments that abide by cloud-best-practices & well architecture frameworks
• Apply advanced troubleshooting techniques to provide unique solutions to our customers’ individual needs
• Work on critical, highly complex customer problems that will span across multiple cloud platforms and services
• Identify and drive improvements on process and technical related issues. Act as an escalation point of contact for the clients
• Drive clients meetings & communication during reviews

Requirement:

• Degree in computer science or a similar field.
• At least 2 year of experience in the field of cloud computing.
• Experience with CI/CD systems.
• Strong in Cloud services
• Exposure to AWS/GCP and other cloud-based infrastructure platforms
• Experience with AWS configuration and management – EC2, S3, EBS, ELB, IAM, VPC, RDS, CloudFront etc
• Exposure in architecting, designing, developing, and implementing cloud solutions on AWS platforms or other cloud server such as Azure, Google Cloud
• Proficient in the use and administration of all versions of MS Windows Server
• Experience with Linux and Windows system administration and web server configuration and monitoring
• Solid programming skills in Python, Java, Perl
• Good understanding of software design principles and best practices
• Good knowledge of REST APIs
• Should have hands-on experience in any deployment orchestration tool (Jenkins, Urbancode, Bamboo, etc.)
• Experience with Docker, Kubernetes, and Helm charts
• Hands on experience in Ansible and Git repositories
• Knowledge in Maven / Gradle
• Azure, AWS, and GCP certifications are preferred.
• Troubleshooting and analytical skills.
• Good communication and collaboration skills.

Opening for a Java Developer with Devops experience

Experience required: 5 yrs to 10 yrs

Essential Required Skills:

Familiarity with Version Control such as GitHub, BitBucket

• Java programmer(Liferay, Alfresco will add plus point)
• AWS
• OPs(ansible, apache, python, terraform)
• Effective communication skills
• An analytical bent of mind and problem-solving aptitude
• Good time management skills 
• Curiosity for learning 
• Patience

Roles & Responsibilities:

• Candidate with good hand on exposure on AWS, Cloud, Devops, Ansible, Docker, Jekins.
• Strong proficiency in Linux, Open Source, Web based and Cloud based environments (ability to use open source technologies and tools)
• Strong scripting and automation (bash, Perl, common Linux utils), strong grasp of automation tools a plus.
• Strong debugging skills (OS, scripting, Web based technologies), SQL, Java and Database concepts are a plus
• Apache, nginx, git, svn, GNU tools
• Must have exposure on Grep, awk, sed, Git, svn
• Scripting (bash, python)
• API related skills (REST, and any other like google, aws, atlassian)
• Web based technology
• Strong Unix Skills
• Java programmer, Coding (Springboot, Microservices, Liferay, Alfresco will add plus point)
• Proficient in AWS
• Ops (ansible, apache, python, terraform)

Benefits

• Cash Rewards & Recognition on Monthly Basis
• Work-Life Balance (Flexible Working Hours)
• Five-Day Work Week