Senior DevOps Engineer - Azure / Kubernetes

Location: Bangalore

Experience: 2–5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most systems don’t fail because of one big outage.

They fail because reliability is treated as an afterthought.

Right now, uptime depends too much on individual heroics.

That doesn’t scale.

This role exists to build a reliability system where:

• Uptime is predictable
• Failures are contained
• Escalations don’t depend on leadership

What you’ll do

You will not just monitor systems.

You will own reliability as a product.

1. Drive uptime to production-grade reliability

• Improve system uptime to 99.9% customer-facing SLA within 4 months
• Define and track:
• SLAs / SLOs / error budgets
• Ensure reliability is measured from the customer’s perspective, not internal metrics

2. Build incident response as a system

• Set up a 24/7 incident response rotation across 3 engineers
• Eliminate dependency on leadership (no single escalation point)
• Define:
• Incident severity levels
• Response playbooks
• Escalation protocols
• Ensure fast detection → containment → resolution

3. Contain and fix erratic system behavior

• Identify and resolve:
• Latency spikes
• Downtime incidents
• Integration failures
• Build guardrails to prevent recurrence
• Focus on root cause elimination, not temporary fixes

4. Create continuous reliability feedback loops

• Work closely with engineering teams to:
• Surface recurring failure patterns
• Improve build quality
• Reduce production bugs
• Ensure learnings from incidents directly improve future releases

5. Improve observability and monitoring

• Build dashboards and alerts for:
• System health
• Performance metrics
• Failure signals
• Ensure issues are detected before customers report them

6. Reduce operational fragility

• Remove single points of failure (people, systems, workflows)
• Improve system resilience across:
• Deployments
• Integrations
• Runtime environments

What success looks like

• Uptime reaches 99.9%+ reliably
• Incidents are:
• Detected early
• Contained quickly
• Resolved permanently
• No dependency on a single individual for escalation
• System behavior becomes predictable and stable
• Engineering teams ship with higher reliability confidence

Who you are

• You have 2-5 years of experience in SRE / DevOps / backend systems
• You have worked on production systems with real uptime expectations
• You think in:
• Systems
• Failure modes
• Trade-offs
• You are comfortable debugging live, high-pressure environments

What will make you stand out

• Experience with:
• Distributed systems
• Cloud infrastructure (AWS / Azure / GCP)
• Monitoring & alerting tools
• Have built or improved:
• Incident response systems
• Reliability frameworks
• Strong debugging skills across:
• Infra
• Application
• Integrations

Compensation

₹60,000/month (fixed)

(Aligned with role scope and impact expectations)

Why join

• You will define reliability standards for a production AI platform
• Your work directly impacts:
• Customer trust
• Product performance
• Enterprise readiness
• You will move the system from reactive → predictable

What this role is not

• Not just monitoring dashboards
• Not limited to handling tickets
• Not dependent on escalation to leadership

What this role is

• A builder of reliability systems
• A guardian of uptime and performance
• A multiplier of engineering quality

One question to self-evaluate

Can you build a system where downtime is rare, predictable, and never dependent on a single person?

Role: DevOps Engineer

Experience: 7+ Years

Location: Pune / Trivandrum

Work Mode: Hybrid

𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬:

• Drive CI/CD pipelines for microservices and cloud architectures
• Design and operate cloud-native platforms (AWS/Azure)
• Manage Kubernetes/OpenShift clusters and containerized applications
• Develop automated pipelines and infrastructure scripts
• Collaborate with cross-functional teams on DevOps best practices
• Mentor development teams on continuous delivery and reliability
• Handle incident management, troubleshooting, and root cause analysis

𝐌𝐚𝐧𝐝𝐚𝐭𝐨𝐫𝐲 𝐒𝐤𝐢𝐥𝐥𝐬:

• 7+ years in DevOps/SRE roles
• Strong experience with AWS or Azure
• Hands-on with Docker, Kubernetes, and/or OpenShift
• Proficiency in Jenkins, Git, Maven, JIRA
• Strong scripting skills (Shell, Python, Perl, Ruby, JavaScript)
• Solid networking knowledge and troubleshooting skills
• Excellent communication and collaboration abilities

𝐏𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬:

• Experience with Helm, monitoring tools (Splunk, Grafana, New Relic, Datadog)
• Knowledge of Microservices and SOA architectures
• Familiarity with database technologies

Roles and Responsibilities:

• AWS Cloud Management: Design, deploy, and manage AWS cloud infrastructure. Optimize and maintain cloud resources for performance and cost efficiency. Monitor and ensure the security of cloud-based systems.
• Automated Provisioning: Develop and implement automated provisioning processes for infrastructure deployment. Utilize tools like Terraform and Packer to automate and streamline the provisioning of resources.
• Infrastructure as Code (IaC): Champion the use of Infrastructure as Code principles. Collaborate with development and operations teams to define and maintain IaC scripts for infrastructure deployment and configuration.
• Collaboration and Communication: Work closely with cross-functional teams to understand project requirements and provide DevOps expertise. Communicate effectively with team members and stakeholders regarding infrastructure changes, updates, and improvements.
• Continuous Integration/Continuous Deployment (CI/CD): Implement and maintain CI/CD pipelines to automate software delivery processes. Ensure reliable and efficient deployment of applications through the development lifecycle.
• Performance Monitoring and Optimization: Implement monitoring solutions to track system performance, troubleshoot issues, and optimize resource utilization. Proactively identify opportunities for system and process improvements. 

Mandatory Skills:

• Proven experience as a DevOps Engineer or similar role, with a focus on AWS.
• Strong proficiency in automated provisioning and cloud management.
• Experience with Infrastructure as Code tools, particularly Terraform and Packer.
• Solid understanding of CI/CD pipelines and version control systems.
• Strong scripting skills (e.g., Python, Bash) for automation tasks.
• Excellent problem-solving and troubleshooting skills.
• Good interpersonal and communication skills for effective collaboration.

Secondary Skills:

• AWS certifications (e.g., AWS Certified DevOps Engineer, AWS Certified Solutions Architect).
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Knowledge of microservices architecture and serverless computing.
• Familiarity with monitoring and logging tools (e.g., CloudWatch, ELK stack).

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

Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.

Excellent communication skills

Open to work on EST time zone(6pm to 3am)

Technical Skills: 

·        In depth understanding of DevSecOps process and governance 

·        Understanding of various branching strategies 

·        Hands on experience working with various testing and scanning tools (ex. SonarQube, Snyk, Blackduck, etc.) 

·        Expertise working with one or more CICD platforms (ex. Azure DevOps, GitLab, GitHub Actions, etc) 

·        Expertise within one CSP and experience/working knowledge of a second CSP (Azure, AWS, GCP) 

·        Proficient with Terraform 

·        Hands on experience working with Kubernetes 

·        Proficient working with GIT version control 

·        Hands on experience working with monitoring/observability tool(s) (Splunk, Data Dog, Dynatrace, etc) 

·        Hands on experience working with Configuration Management platform(s) (Chef, Saltstack, Ansible, etc) 

·        Hands on experience with GitOps 

We are looking for a DevOps Lead to join our team.

Responsibilities

• A technology Professional who understands software development and can solve IT Operational and deployment challenges using software engineering tools and processes. This position requires an understanding of both Software development (Dev) and deployment

Operations (Ops)

• Identity manual processes and automate them using various DevOps automation tools

• Maintain the organization’s growing cloud infrastructure

• Monitor and maintain DevOps environment stability

• Collaborate with distributed Agile teams to define technical requirements and resolve technical design issues

• Orchestrating builds and test setups using Docker and Kubernetes.

• Participate in designing and building Kubernetes, Cloud, and on-prem environments for maximum performance, reliability and scalability

• Share business and technical learnings with the broader engineering and product organization, while adapting approaches for different audiences

Requirements

• Candidates working for this position should possess at least 5 years of work experience as a DevOps Engineer.

• Candidate should have experience in ELK stack, Kubernetes, and Docker.

• Solid experience in the AWS environment.

• Should have experience in monitoring tools like DataDog or Newrelic.

• Minimum of 5 years experience with code repository management, code merge and quality checks, continuous integration, and automated deployment & management using tools like Jenkins, SVN, Git, Sonar, and Selenium.

• Candidates must possess ample knowledge and experience in system automation, deployment, and implementation.

• Candidates must possess experience in using Linux, Jenkins, and ample experience in configuring and automating the monitoring tools.

• The candidates should also possess experience in the software development process and tools and languages like SaaS, Python, Java, MongoDB, Shell scripting, Python, PostgreSQL, and Git.

• Candidates should demonstrate knowledge in handling distributed data systems.

Examples: Elastisearch, Cassandra, Hadoop, and others.

• Should have experience in GitLab- CIRoles and Responsibilities

Job Description:

• Hands on experience with Ansible & Terraform.
• Scripting language, such as Python or Bash or PowerShell is required and willingness to learn and master others. 
• Troubleshooting and resolving automation, build, and CI/CD related issues (in cloud environment like AWS or Azure).
• Experience with Kubernetes is mandate.
• To develop and maintain tooling and environments for test and production environments.
• Assist team members in the development and maintenance of tooling for integration testing, performance testing, security testing, as well as source control systems (that includes working in CI systems like Azure DevOps, Team City, and orchestration tools like Octopus).
• Good with Linux environment.

• Experience working in advanced iterative methodologies such as Agile and Safe.
• Experience with containers and orchestration (Docker, Kubernetes).
• Comfortable working in complex and demanding environments with high degree of change.
• Ability to view system perspective and to perform thorough investigations.
• Experience in frequent delivery to production.
• Microservice-based architecture (Jenkins, Docker, CI/CD, ELK)
• Experience with modern software components (Mongo, Elasticsearch, Kafka).
• Expertise in software development methodologies.
• Understanding of protocols/technologies like HTTP, SSL, LDAP, SSH, SAML, etc.
• Possession of a deep knowledge of development workflows with Git.
• Experience with MySQL or another relational database Environment.
• Automation testing (component, integration and end2end)

At Karza technologies, we take pride in building one of the most comprehensive digital onboarding & due-diligence platforms by profiling millions of entities and trillions of associations amongst them using data collated from more than 700 publicly available government sources. Primarily in the B2B Fintech Enterprise space, we are headquartered in Mumbai in Lower Parel with 100+ strong workforce. We are truly furthering the cause of Digital India by providing the entire BFSI ecosystem with tech products and services that aid onboarding customers, automating processes and mitigating risks seamlessly, in real-time and at fraction of the current cost.

A few recognitions:

• Recognized as Top25 startups in India to work with 2019 by LinkedIn
• Winner of HDFC Bank's Digital Innovation Summit 2020
• Super Winners (Won every category) at Tecnoviti 2020 by Banking Frontiers
• Winner of Amazon AI Award 2019 for Fintech
• Winner of FinTech Spot Pitches at Fintegrate Zone 2018 held at BSE
• Winner of FinShare 2018 challenge held by ShareKhan
• Only startup in Yes Bank Global Fintech Accelerator to win the account during the Cohort
• 2nd place Citi India FinTech Challenge 2018 by Citibank
• Top 3 in Viacom18's Startup Engagement Programme VStEP

What your average day would look like:

• Deploy and maintain mission-critical information extraction, analysis, and management systems
• Manage low cost, scalable streaming data pipelines
• Provide direct and responsive support for urgent production issues
• Contribute ideas towards secure and reliable Cloud architecture
• Use open source technologies and tools to accomplish specific use cases encountered within the project
• Use coding languages or scripting methodologies to solve automation problems
• Collaborate with others on the project to brainstorm about the best way to tackle a complex infrastructure, security, or deployment problem
• Identify processes and practices to streamline development & deployment to minimize downtime and maximize turnaround time

What you need to work with us:

• Proficiency in at least one of the general-purpose programming languages like Python, Java, etc.
• Experience in managing the IAAS and PAAS components on popular public Cloud Service Providers like AWS, Azure, GCP etc.
• Proficiency in Unix Operating systems and comfortable with Networking concepts
• Experience with developing/deploying a scalable system
• Experience with the Distributed Database & Message Queues (like Cassandra, ElasticSearch, MongoDB, Kafka, etc.)
• Experience in managing Hadoop clusters
• Understanding of containers and have managed them in production using container orchestration services.
• Solid understanding of data structures and algorithms.
• Applied exposure to continuous delivery pipelines (CI/CD).
• Keen interest and proven track record in automation and cost optimization.

Experience:

• 1-4 years of relevant experience
• BE in Computer Science / Information Technology