11+ Kerberos Jobs in Bangalore (Bengaluru) | Kerberos Job openings in Bangalore (Bengaluru)

As a Kafka Administrator at Cargill you will work across the full set of data platform technologies spanning on-prem and SAS solutions empowering highly performant modern data centric solutions. Your work will play a critical role in enabling analytical insights and process efficiencies for Cargill’s diverse and complex business environments. You will work in a small team who shares your passion for building, configuring, and supporting platforms while sharing, learning and growing together.  

• Develop and recommend improvements to standard and moderately complex application support processes and procedures. 
• Review, analyze and prioritize incoming incident tickets and user requests. 
• Perform programming, configuration, testing and deployment of fixes or updates for application version releases. 
• Implement security processes to protect data integrity and ensure regulatory compliance. 
• Keep an open channel of communication with users and respond to standard and moderately complex application support requests and needs. 

MINIMUM QUALIFICATIONS

• 2-4 year of minimum experience
• Knowledge of Kafka cluster management, alerting/monitoring, and performance tuning
• Full ecosystem Kafka administration (kafka, zookeeper, kafka-rest, connect)
• Experience implementing Kerberos security
• Preferred:
• Experience in Linux system administration
• Authentication plugin experience such as basic, SSL, and Kerberos
• Production incident support including root cause analysis
• AWS EC2
• Terraform

Job Responsibilities:

Section 1 -

- Responsible for managing and providing L1 support to Build, design, deploy and maintain the implementation of Cloud solutions on AWS.
- Implement, deploy and maintain development, staging & production environments on AWS.
- Familiar with serverless architecture and services on AWS like Lambda, Fargate, EBS, Glue, etc.
- Understanding of Infra as a code and familiar with related tools like Terraform, Ansible Cloudformation etc.

Section 2 -

- Managing the Windows and Linux machines, Kubernetes, Git, etc.
- Responsible for L1 management of Servers, Networks, Containers, Storage, and Databases services on AWS.

Section 3 -

- Timely monitoring of production workload alerts and quick addressing the issues
- Responsible for monitoring and maintaining the Backup and DR process.

Section 4 -

- Responsible for documenting the process.
- Responsible for leading cloud implementation projects with end-to-end execution.

Qualifications: Bachelors of Engineering / MCA Preferably with AWS, Cloud certification

Skills & Competencies

- Linux and Windows servers management and troubleshooting.

- AWS services experience on CloudFormation, EC2, RDS, VPC, EKS, ECS, Redshift, Glue, etc. - AWS EKS

- Kubernetes and containers knowledge

- Understanding of setting up AWS Messaging, streaming and queuing Services(MSK, Kinesis, SQS, SNS, MQ)

- Understanding of serverless architecture. - High understanding of Networking concepts

- High understanding of Serverless architecture concept - Managing to monitor and alerting systems

- Sound knowledge of Database concepts like Dataware house, Data Lake, and ETL jobs

- Good Project management skills

- Documentation skills

- Backup, and DR understanding

Soft Skills - Project management, Process Documentation

Ideal Candidate:

- AWS certification with between 2-4 years of experience with certification and project execution experience.

- Someone who is interested in building sustainable cloud architecture with automation on AWS.

- Someone who is interested in learning and being challenged on a day-to-day basis.

- Someone who can take ownership of the tasks and is willing to take the necessary action to get it done.

- Someone who is curious to analyze and solve complex problems.

- Someone who is honest with their quality of work and is comfortable with taking ownership of their success and failure, both.

Behavioral Traits

- We are looking for someone who is interested to be part of creativity and the innovation-based environment with other team members.

- We are looking for someone who understands the idea/importance of teamwork and individual ownership at the same time.

- We are looking for someone who can debate logically, respectfully disagree, and can admit if proven wrong and who can learn from their mistakes and grow quickly

Role: Azure Devops Consultant

Location: Bangalore

Fulltime

Work Mode: 5 Days Work From Office.

Responsibilities:

· Design and architect CI/CD pipelines and development automation solutions.

· Lead implementation of build versioning, packaging, and dependency

management strategies

· Define standards for code quality, security scanning, and automated testing

integration

· Create reference architectures for development workflows and automation

patterns

· Collaborate with security teams to implement "shift-left" security practices

· Guide implementation of A/B testing and feature flagging architectures

Skills:

· Strong expertise in Azure DevOps,PAAS, Git, CI/CD practices

· Deep understanding of SDLC and automation

· Containerization (Docker, Kubernetes)

· Security scanning tools (Veracode, SonarQube)

· Build tools and artifact management

· IaC (Terraform, ARM templates)

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 Title: DevOps - 3

Roles and Responsibilities:

• Develop deep understanding of the end-to-end configurations, dependencies, customer requirements, and overall characteristics of the production services as the accountable owner for overall service operations
• Implementing best practices, challenging the status quo, and tab on industry and technical trends, changes, and developments to ensure the team is always striving for best-in-class work
• Lead incident response efforts, working closely with cross-functional teams to resolve issues quickly and minimize downtime. Implement effective incident management processes and post-incident reviews
• Participate in on-call rotation responsibilities, ensuring timely identification and resolution of infrastructure issues
• Possess expertise in designing and implementing capacity plans, accurately estimating costs and efforts for infrastructure needs.
• Systems and Infrastructure maintenance and ownership for production environments, with a continued focus on improving efficiencies, availability, and supportability through automation and well defined runbooks
• Provide mentorship and guidance to a team of DevOps engineers, fostering a collaborative and high-performing work environment. Mentor team members in best practices, technologies, and methodologies.
• Design for Reliability - Architect & implement solutions that keeps Infrastructure running with Always On availability and ensures high uptime SLA for the Infrastructure
• Manage individual project priorities, deadlines, and deliverables related to your technical expertise and assigned domains
• Collaborate with Product & Information Security teams to ensure the integrity and security of Infrastructure and applications. Implement security best practices and compliance standards.

Must Haves

• 5-8 years of experience as Devops / SRE / Platform Engineer.
• Strong expertise in automating Infrastructure provisioning and configuration using tools like Ansible, Packer, Terraform, Docker, Helm Charts etc.
• Strong skills in network services such as DNS, TLS/SSL, HTTP, etc
• Expertise in managing large-scale cloud infrastructure (preferably AWS and Oracle)
• Expertise in managing production grade Kubernetes clusters
• Experience in scripting using programming languages like Bash, Python, etc.
• Expertise in skill sets for centralized logging systems, metrics, and tooling frameworks such as ELK, Prometheus/VictoriaMetrics, and Grafana etc.
• Experience in Managing and building High scale API Gateway, Service Mesh, etc
• Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive
• Have a working knowledge of a backend programming language
• Deep knowledge & experience with Unix / Linux operating systems internals (Eg. filesystems, user management, etc)
• A working knowledge and deep understanding of cloud security concepts
• Proven track record of driving results and delivering high-quality solutions in a fast-paced environment
• Demonstrated ability to communicate clearly with both technical and non-technical project stakeholders, with the ability to work effectively in a cross-functional team environment. 

Main tasks

• Supervision of the CI/CD process for the automated builds and deployments of web services and web applications as well as desktop tool in the cloud and container environment
• Responsibility of the operations part of a DevOps organization especially for development in the environment of container technology and orchestration, e.g. with Kubernetes
• Installation, operation and monitoring of web applications in cloud data centers for the purpose of development of the test as well as for the operation of an own productive cloud
• Implementation of installations of the solution especially in the container context
• Introduction, maintenance and improvement of installation solutions for development in the desktop and server environment as well as in the cloud and with on-premise Kubernetes
• Maintenance of the system installation documentation and implementation of trainings

Execution of internal software tests and support of involved teams and stakeholders

• Hands on Experience with Azure DevOps.

Qualification profile

• Bachelor’s or master’s degree in communications engineering, electrical engineering, physics or comparable qualification
• Experience in software
• Installation and administration of Linux and Windows systems including network and firewalling aspects
• Experience with build and deployment automation with tools like Jenkins, Gradle, Argo, AnangoDB or similar as well as system scripting (Bash, Power-Shell, etc.)
• Interest in operation and monitoring of applications in virtualized and containerized environments in cloud and on-premise
• Server environments, especially application, web-and database servers
• Knowledge in VMware/K3D/Rancer is an advantage
• Good spoken and written knowledge of English

As a SaaS DevOps Engineer, you will be responsible for providing automated tooling and process enhancements for SaaS deployment, application and infrastructure upgrades and production monitoring.

• Development of automation scripts and pipelines for deployment and monitoring of new production environments.

• Development of automation scripts for upgrades, hotfixes deployments and maintenance.

• Work closely with Scrum teams and product groups to support the quality and growth of the SaaS services.

• Collaborate closely with SaaS Operations team to handle day-to-day production activities - handling alerts and incidents.

• Assist SaaS Operations team to handle customers focus projects: migrations, features enablement.

• Write Knowledge articles to document known issues and best practices.

• Conduct regression tests to validate solutions or workarounds.

• Work in a globally distributed team.

What achievements should you have so far?

• Bachelor's or master’s degree in Computer Science, Information Systems, or equivalent.

• Experience with containerization, deployment, and operations.

• Strong knowledge of CI/CD processes (Git, Jenkins, Pipelines).

• Good experience with Linux systems and Shell scripting.

• Basic cloud experience, preferably oriented on MS Azure.

• Basic knowledge of containerized solutions (Helm, Kubernetes, Docker).

• Good Networking skills and experience.

• Having Terraform or CloudFormation knowledge will be considered a plus.

• Ability to analyze a task from a system perspective.

• Excellent problem-solving and troubleshooting skills.

• Excellent written and verbal communication skills; mastery in English and local language.

• Must be organized, thorough, autonomous, committed, flexible, customer-focused and productive.

Roles & Responsibilities :

• Champion engineering and operational excellence.
• Establish a solid infrastructure framework and excellent development and deployment processes.
• Provide technical guidance to both your team members and your peers from the development team.
• Work with the development teams closely to gather system requirements, new service proposals and large system improvements and come up with the infrastructure architecture leading to stable, well-monitored fly, performant and secure systems.
• Be part of and help create a positive work environment based on accountability.
• Communicate across functions and drive engineering initiatives.
• Initiate cross team collaboration with product development teams to develop high quality, polished products, and services.

Required Skills :

• 5+ years of professional experience developing and launching software products on Cloud.
• Basic understanding Java/Go Programming
• Good Understanding of Container Technologies/Orchestration platforms (e. g Docker, Kubernetes)
• Deep understanding of AWS or Any Cloud.
• Good understanding of data stores like Postgres, Redis, Kafka, and Elasticsearch.
• Good Understanding of Operating systems
• Strong technical background with track record of individual technical accomplishments
• Ability to handle multiple competing priorities in a fast-paced environment
• Ability to establish credibility with smart engineers quickly.
• Most importantly, ability to learn and urge to learn new things.
• B.Tech/M.Tech in Computer Science or a related technical field.

Requirements

• Design, write and build tools to improve the reliability, latency, availability and scalability of HealthifyMe application.

• Communicate, collaborate and work effectively across distributed teams in a global environment

• Optimize performance and solve issues across the entire stack: hardware, software, application, and network.

• Experienced in building infrastructure with terraform / cloudformation or equivalent.
• Experience with ansible or equivalent is beneficial
• Ability to use a wide variety of Open Source Tools
• Experience  with AWS is a must.
• Minimum 5 years of running services in a large scale environment.
• Expert level understanding of Linux servers, specifically RHEL/CentOS.
• Practical, proven knowledge of shell scripting and at least one higher-level language (eg. Python, Ruby, GoLang).
• Experience with source code and binary repositories, build tools, and CI/CD (Git, Artifactory, Jenkins, etc)
• Demonstrable knowledge of TCP/IP, HTTP, web application security, and experience supporting multi-tier web application architectures.

Look forward to

- Working with a world-class team.

- Fun & work at the same place with an amazing work culture and flexible timings.

- Get ready to transform yourself into a health junkie

Join HealthifyMe and make history!