RPA Lead

Job Title : Senior DevOps Engineer

Experience : 5+ Years

Location : Gurgaon, Sector 39

About the Role :

We are seeking an experienced Senior DevOps Engineer to lead our DevOps practices, manage a small team, and build functional, scalable systems that enhance customer experience. You will be responsible for deployments, automation, troubleshooting, integrations, monitoring, and team mentoring while ensuring secure and efficient operations.

Mandatory Skills :

Linux Administration, Shell Scripting, CI/CD (Jenkins), Git/GitHub, Docker, Kubernetes, AWS, Ansible, Database Administration (MariaDB/MySQL/MongoDB), Apache httpd/Tomcat, HAProxy, Nagios, Keepalived, Monitoring/Logging/Alerting, and On-premise Server Management.

Key Responsibilities :

• Implement and manage integrations as per business and customer needs.
• Deploy product updates, fixes, and enhancements.
• Provide Level 2 technical support and resolve production issues.
• Build tools to reduce errors and improve system performance.
• Develop scripts and automation for CI/CD, monitoring, and visualization.
• Perform root cause analysis of incidents and implement long-term fixes.
• Ensure robust monitoring, logging, and alerting systems are in place.
• Manage on-premise servers and ensure smooth deployments.
• Collaborate with development teams for system integration.
• Mentor and guide a team of 3 to 4 engineers.

Required Qualifications & Experience :

• Bachelor’s degree in Computer Science, Software Engineering, IT, or related field (Master’s preferred).
• 5+ years of experience in DevOps engineering with team management exposure.
• Strong expertise in:
• Linux Administration & Shell Scripting
• CI/CD pipelines (Jenkins or similar)
• Git/GitHub, branching, and code repository standards
• Docker, Kubernetes, AWS, Ansible
• Database administration (MariaDB, MySQL, MongoDB)
• Web servers (Apache httpd, Apache Tomcat)
• Networking & Load Balancing tools (HAProxy, Keepalived)
• Monitoring & alerting tools (Nagios, logging frameworks)
• On-premise server management
• Strong debugging, automation, and system troubleshooting skills.
• Knowledge of security best practices including data encryption.

Personal Attributes :

• Excellent problem-solving and analytical skills.
• Strong communication and leadership abilities.
• Detail-oriented with a focus on reliability and performance.
• Ability to mentor juniors and collaborate with cross-functional teams.
• Keen interest in emerging DevOps and cloud trends.

We are seeking a highly experienced Azure AI, AIOps & MLOps Architect to lead enterprise-scale AI platform engineering, cloud modernization, DevSecOps transformation, and intelligent automation initiatives.

The ideal candidate should possess deep expertise in Microsoft Azure, Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Kubernetes, Terraform, Azure DevOps, and enterprise observability platforms. The role will focus on designing scalable AI platforms, implementing MLOps and AIOps capabilities, enabling Agentic AI architectures, and driving cloud-native engineering practices across the organization.

Key Responsibilities

Cloud Architecture & Engineering

•     Design and implement scalable, secure, and highly available solutions on Microsoft Azure.

•     Define cloud architecture standards, reference architectures, and best practices.

•     Lead cloud migration and modernisation initiatives across enterprise workloads.

•     Implement multi-region disaster recovery and business continuity strategies.

•     Oversee Azure networking, identity, security, and governance frameworks.

DevOps & CI/CD

•     Architect and implement end-to-end CI/CD pipelines using Azure DevOps or GitHub Actions.

•     Drive DevSecOps culture — embedding security scanning, quality gates, and compliance into the delivery pipeline.

•     Champion Infrastructure-as-Code (IaC) practices using Terraform, Bicep, or ARM templates.

•     Establish branching strategies, release management, and environment promotion standards.

•     Define and enforce platform engineering standards and internal developer tooling.

AI & Machine Learning Integration

•     Architect AI/ML solutions leveraging Azure AI services — Azure OpenAI, Azure Machine Learning, Azure AI Foundry, and Cognitive Services.

•     Design intelligent automation and agentic workflows integrated into enterprise DevOps processes.

•     Implement AI-powered capabilities such as code review assistance, anomaly detection, predictive analytics, and natural language automation.

•     Define AI governance frameworks: model evaluation, prompt management, responsible AI, and cost controls.

•     Design and implement enterprise MLOps frameworks.

•     Build automated model training, validation, deployment, and monitoring pipelines.

•     Establish model governance and lifecycle management.

Generative AI & Agentic AI

• Design enterprise GenAI solutions using Azure OpenAI.
• Build AI Agents using Azure AI Foundry.
• Develop Agent-to-Agent communication patterns.
• Implement Retrieval Augmented Generation (RAG) architectures.
• Build enterprise Knowledge Management and AI Skill Registry platforms.
• Design multi-agent orchestration frameworks.

Leadership & Stakeholder Engagement

•     Serve as the technical authority and subject matter expert for Azure AI and DevOps practices.

•     Mentor and guide junior architects, developers, and DevOps engineers.

•     Collaborate with business stakeholders, product owners, and vendors to translate requirements into technical solutions.

•     Produce architecture documentation, decision records (ADRs), and roadmaps.

•     Represent the technology function in enterprise architecture forums and governance boards.

Required Qualifications

•     Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

•     10+ years of experience in cloud engineering and architecture.

•     5+ years of hands-on experience with Microsoft Azure across compute, networking, storage, identity, and data services.

•     Proven experience designing and implementing enterprise-grade CI/CD pipelines.

•     Strong hands-on expertise with Infrastructure-as-Code (Terraform, Bicep, or ARM).

•     Demonstrated experience architecting and deploying AI/ML solutions on Azure (Azure OpenAI, Azure ML, AI Foundry).

•     Deep knowledge of DevSecOps principles, tools, and practices.

•     Experience with containerisation and orchestration: Docker, Kubernetes (AKS).

•     Proficiency in scripting and development: Python, PowerShell, Bash.

•     Excellent communication and stakeholder management skills.

Preferred Qualifications

•     Microsoft Certified: Azure Solutions Architect Expert.

•     Microsoft Certified: DevOps Engineer Expert.

•     Microsoft Certified: Azure AI Engineer Associate.

•     Experience with Azure API Management (APIM), Event Grid, and Azure Functions.

•     Familiarity with Datadog, Prometheus, or equivalent observability platforms.

•     Experience in the real estate, retail, or enterprise industry sector.

•     Knowledge of agentic AI frameworks and LLM orchestration patterns (LangChain, Semantic Kernel, MCP).

•     Background in building Internal Developer Platforms (IDP).

Technical Skills

Domain

Technologies / Tools

Cloud Platform

Microsoft Azure (UAE North / Global)

DevOps & CI/CD

Azure DevOps, GitHub Actions, Jenkins

IaC

Terraform, Bicep, ARM Templates

AI / ML

Azure OpenAI, Azure AI Foundry, Azure ML, Cognitive Services

Containers

Docker, Kubernetes (AKS), Azure Container Apps

Identity & Security

Microsoft Entra ID, Azure Policy, Defender for Cloud

Observability

Datadog, Azure Monitor, Log Analytics, Application Insights

Databases

Azure SQL, PostgreSQL, Cosmos DB

Languages

Python, PowerShell, Bash, YAML

Job Description:

As a DevOps Engineer at Cateina Technology, you will play a crucial role in enhancing our development

and deployment processes. You will work closely with development, QA, and operations teams to ensure

seamless integration and delivery of high-quality software. Your expertise will contribute to the stability,

scalability, and performance of our applications and infrastructure.

Key Responsibilities:

● Infrastructure Management: Design, implement, and maintain scalable, secure, and reliable

infrastructure on cloud platforms (AWS)

● Continuous Integration/Continuous Deployment (CI/CD): Develop and maintain CI/CD pipelines

to automate code deployment, testing, and delivery processes.

● Monitoring and Logging: Implement monitoring, logging, and alerting solutions to ensure

system performance, availability, and reliability.

● Configuration Management: Use configuration management tools (Ansible, Puppet, Chef) to

automate system setup, configuration, and updates.

● Collaboration: Work closely with development teams to understand their needs and provide

support for development, testing, and deployment environments.

● Security: Implement security best practices and ensure compliance with industry standards.

● Troubleshooting: Diagnose and resolve issues in development, testing, and production

environments.

Documentation: Maintain detailed and accurate documentation of configurations, processes,

and procedures.

Requirements:

● Experience: 4-5 years of experience in a DevOps or related role.

● Technical Skills:

o Strong experience with cloud platforms (AWS)

o Proficiency in scripting languages (Python, Bash, etc.).

o Experience with CI/CD tools (Jenkins, GitLab CI, CircleCI, etc.).

o Knowledge of containerization and orchestration (Docker)

o Familiarity with configuration management tools (Ansible, Puppet, Chef).

o Experience with monitoring and logging tools (Prometheus, Grafana, ELK stack).

o Mandatory Technical Skills Kubernetes.

● Soft Skills:

o Strong problem-solving and analytical skills.

o Excellent communication and collaboration abilities.

o Ability to work in a fast-paced and dynamic environment.

Preferred Qualifications:

● Certifications: Relevant certifications (AWS Certified DevOps Engineer, Docker Certified

Associate, etc.) are a plus.

● Education: Bachelor's degree in Computer Science, Engineering, or a any field is preferred.

Who can apply

Candidates who:

● Are local to Mumbai and suburbs(must come to office, it is not work from home) outside

Mumbai candidates will not be considered

● have own laptop or desktop

● are flexible to work on any technology

● openness to work in shifts (if required)

● are willing to travel to client site anywhere in India (if required)

Job Specifications

We are looking for a passionate Laravel/edtech Product manager to join our team. The ideal candidate will be an

enthusiastic project manager eager to learn and grow his/her skills in the field.

Job Responsibilities

● Be able to take a finished specification or design and create functional software environment.

● Ability to think critically, conduct research and creatively solve problems.

● Ability to communicate clearly with stakeholders and peers, and the ability to collaborate as a team.

● Develop and deploy new features to facilitate related procedures and tools if necessary

● Good knowledge of relational databases, version control tools and of developing web services

Qualification and experience

● Knowledge of PHP, Laravel, MySQL, Apache and Linux servers

● Knowledge of design patterns, composition and object-oriented development

● Experience working with APIs, both integrating a third-party API and creating your own when necessary

● Experience in test automation and test-driven development

● Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and

functionality

Hi,

We are looking for candidate with experience in DevSecOps.

Please find below JD for your reference.

Responsibilities:

Execute shell scripts for seamless automation and system management.

Implement infrastructure as code using Terraform for AWS, Kubernetes, Helm, kustomize, and kubectl.

Oversee AWS security groups, VPC configurations, and utilize Aviatrix for efficient network orchestration.

Contribute to Opentelemetry Collector for enhanced observability.

Implement microsegmentation using AWS native resources and Aviatrix for commercial routes.

Enforce policies through Open Policy Agent (OPA) integration.

Develop and maintain comprehensive runbooks for standard operating procedures.

Utilize packet tracing for network analysis and security optimization.

Apply OWASP tools and practices for robust web application security.

Integrate container vulnerability scanning tools seamlessly within CI/CD pipelines.

Define security requirements for source code repositories, binary repositories, and secrets managers in CI/CD pipelines.

Collaborate with software and platform engineers to infuse security principles into DevOps teams.

Regularly monitor and report project status to the management team.

Qualifications:

Proficient in shell scripting and automation.

Strong command of Terraform, AWS, Kubernetes, Helm, kustomize, and kubectl.

Deep understanding of AWS security practices, VPC configurations, and Aviatrix.

Familiarity with Opentelemetry for observability and OPA for policy enforcement.

Experience in packet tracing for network analysis.

Practical application of OWASP tools and web application security.

Integration of container vulnerability scanning tools within CI/CD pipelines.

Proven ability to define security requirements for source code repositories, binary repositories, and secrets managers in CI/CD pipelines.

Collaboration expertise with DevOps teams for security integration.

Regular monitoring and reporting capabilities.

Site Reliability Engineering experience.

Hands-on proficiency with source code management tools, especially Git.

Cloud platform expertise (AWS, Azure, or GCP) with hands-on experience in deploying and managing applications.

Please send across your updated profile.

Only apply on this link - https://loginext.hire.trakstar.com/jobs/fk025uh?source=" target="_blank">https://loginext.hire.trakstar.com/jobs/fk025uh?source=

LogiNext is looking for a technically savvy and passionate Associate Vice President - Product Engineering - DevOps or Senior Database Administrator to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust infrastructure.

You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline the development operations and processes. You are a master in troubleshooting and resolving issues in dev, staging and production environments.

Responsibilities:

• Design and implement scalable infrastructure for delivering and running web, mobile and big data applications on cloud
• Scale and optimise a variety of SQL and NoSQL databases (especially MongoDB), web servers, application frameworks, caches, and distributed messaging systems
• Automate the deployment and configuration of the virtualized infrastructure and the entire software stack
• Plan, implement and maintain robust backup and restoration policies ensuring low RTO and RPO
• Support several Linux servers running our SaaS platform stack on AWS, Azure, IBM Cloud, Ali Cloud
• Define and build processes to identify performance bottlenecks and scaling pitfalls
• Manage robust monitoring and alerting infrastructure 
• Explore new tools to improve development operations to automate daily tasks
• Ensure High Availability and Auto-failover with minimum or no manual interventions

Requirements:

• Bachelor’s degree in Computer Science, Information Technology or a related field
• 11 to 14 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure
• Strong background in Linux/Unix Administration and Python/Shell Scripting
• Extensive experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure
• Experience in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios
• Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms
• Experience in query analysis, peformance tuning, database redesigning, 
• Experience in enterprise application development, maintenance and operations
• Knowledge of best practices and IT operations in an always-up, always-available service
• Excellent written and oral communication skills, judgment and decision-making skills.
• Excellent leadership skill.

Bachelor's degree in Computer Science or a related field, or equivalent work experience

Strong understanding of cloud infrastructure and services, such as AWS, Azure, or Google Cloud Platform

Experience with infrastructure as code tools such as Terraform or CloudFormation

Proficiency in scripting languages such as Python, Bash, or PowerShell

Familiarity with DevOps methodologies and tools such as Git, Jenkins, or Ansible

Strong problem-solving and analytical skills

Excellent communication and collaboration skills

Ability to work independently and as part of a team

Willingness to learn new technologies and tools as required

Job description

The role requires you to design development pipelines from the ground up, Creation of Docker Files,  design and operate highly available systems in AWS Cloud environments. Also involves Configuration Management, Web Services Architectures, DevOps Implementation, Database management, Backups, and Monitoring.

Key responsibility area
- Ensure reliable operation of CI/CD pipelines
- Orchestrate the provisioning, load balancing, configuration, monitoring and billing of resources in the cloud environment in a highly automated manner
- Logging, metrics and alerting management.
- Creation of Bash/Python scripts for automation
- Performing root cause analysis for production errors.Requirement
- Proficient in Linux Commands line and troubleshooting.
- Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
- Hands-on experience with CI tooling preferably with Jenkins. 
- Proficient in deployment using Ansible.
- Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloudformation etc.
- Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache. 
- Scripting languages: Bash, Python, Groovy.
- Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.

Must Have:
Linux, CI/CD(Jenkin), AWS, Scripting(Bash,shell Python, Go), Ngnix, Docker.

Good to have
Configuration Management(Ansible or similar tool), Logging tool( ELK or similar), Monitoring tool(Ngios or similar), IaC(Terraform, cloudformation).