
Requirements:
- Experience of managing Engineering teams in an Agile environment.
- Expert knowledge of delivering solutions in Azure cloud within a large-scale enterprise environment.
- Great understanding of DevOps principles and how they assist in taking products to market in an effective manner.
- Experience of Automation/Configuration management tools as well as working in a continuous delivery environment, monitoring and tooling.
- Knowledge and experience in Azure, Kubernetes, Containerisation, Azure DevOps pipelines.
- Experience in managing permissions in Azure DevOps.
- Working experience in Application Gateways, App Services, Front-Door, Azure Service Bus, etc.
- Troubleshooting experience in virtual/cloud infrastructures.
- Experience in delivery of projects using IAC (Infrastructure as Code).

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Primary Skills:
Observability - ELK (Elactic/Kibana), Prometheus, Grafana, PromQL
Software and automation - Java, Python/Shell/Bash, Rest-SOAP API, docker containerization, Kubernetes, Kafka
Reliability and DR engineering - Distributed architecture and distributed system fundamentals, micro services, and event-driven architecture.
Cross-team coordination, incident triage and resolution, leadership and stakeholder management.
Secondary Skills:
Lang-chain, Langraph, RAG, MCP
Experience with working on LLM's and integrating with the existing applications
Python - FastAPI
Cache - Redis
Program Details:
Design, build, and ship LLM-powered and agentic product features that enhance the team efforts and outcomes.
Build agentic AI systems that reason over context, invoke tools, take real actions, and recover gracefully from failure.
Work on integrating the existing AI tools and should know major AI frameworks and libraries.
Own service reliability and operational governance by defining SLA's, managing error budgets, and reporting reliability (MTTD, MTTR) to leadership for prioritization, risk decisions and planning.
Architect and continuously optimize the observability of platform using Kibana/Elastic (ELF) along with other observability tools like Prometheus, Grafana (dashboards, metrics, alert lifecycle), improving detection quality, reducing noise/toil, and enabling faster triage and measurable uptime improvements.
Engineer advance alerting and automation capabilities with Kibana alerting and anomaly detections and integrating response workflows (routing, runbooks, remediation scripts) to standardize on-call execution and accelerate restoration of services.
Lead incident response for customer-impacting issues across teams-coordination, communications, service restoration, and blameless RCA-then corrective actions that prevent recurrence and reduce operational risk.
Design, automate and validate Disaster Recovery and failover for critical services/journeys (RTO/RPO alignment, DR Drills), ensuring resiliency under failure scenarios and improving recovery.
Consult and partner with application teams by providing production readiness inputs (Resiliency patterns, availability, performance/capacity considerations) and driving platform enhancements that improve stability while optimizing infrastructure and observability spend.
If you are interested for this role, kindly acknowledge this email with your interest.
Roles and Responsibilities:
· Experience Required 3+ yrs in Devops.
· Position - 1
· Hands-on experience on Azure.
. Hands on experience on IIS
· Ability to design a good cloud solution.
· Strong Linux troubleshooting, Shell Scripting, Kubernetes, Docker, Ansible, Jenkins Skills.
· Design and implement the CI/CD pipeline following the best industry practices using open-source tools.
· Use knowledge and research to constantly modernize our applications and infrastructure stacks.
· Be a team player and strong problem-solver to work with a diverse team.
· Having good communication skills.
Candidate must be from a product-based company with experience handling large-scale production traffic.
2. Candidate must have strong Linux expertise with hands-on production troubleshooting and working knowledge of databases and middleware (Mongo, Redis, Cassandra, Elasticsearch, Kafka).
3. Candidate must have solid experience with Kubernetes.
4. Candidate should have strong knowledge of configuration management tools like Ansible, Terraform, and Chef / Puppet. Add on- Prometheus & Grafana etc.
5. Candidate must be an individual contributor with strong ownership.
6. Candidate must have hands-on experience with DATABASE MIGRATIONS and observability tools such as Prometheus and Grafana.
7. Candidate must have working knowledge of Go/Python and Java.
8. Candidate should have working experience on Cloud platform - AWS
9. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation
Candidate must be from a product-based company with experience handling large-scale production traffic.
2. Minimum 6 yrs of experience working as a DevOps/Infrastructure Consultant
3. Candidate must have 2 years of experience as an lead (handling team of 3 to 4 members atleast)
4. Own end-to-end infrastructure right from non-prod to prod environment including self-managed
5. Candidate must have Self experience in database migration from scratch
6. Must have a firm hold on the container orchestration tool Kubernetes
7. Should have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet
8. Understanding programming languages like GO/Python, and Java
9. Working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.
10. Working experience on Cloud platform -AWS
11. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation
Role Overview:
As a DevOps Engineer (L2), you will play a key role in designing, implementing, and optimizing infrastructure. You will take ownership of automating processes, improving system reliability, and supporting the development lifecycle.
Key Responsibilities:
- Design and manage scalable, secure, and highly available cloud infrastructure.
- Lead efforts in implementing and optimizing CI/CD pipelines.
- Automate repetitive tasks and develop robust monitoring solutions.
- Ensure the security and compliance of systems, including IAM, VPCs, and network configurations.
- Troubleshoot complex issues across development, staging, and production environments.
- Mentor and guide L1 engineers on best practices.
- Stay updated on emerging DevOps tools and technologies.
- Manage cloud resources efficiently using Infrastructure as Code (IaC) tools like Terraform and AWS CloudFormation.
Qualifications:
- Bachelor’s degree in Computer Science, IT, or a related field.
- Proven experience with CI/CD pipelines and tools like Jenkins, GitLab, or Azure DevOps.
- Advanced knowledge of cloud platforms (AWS, Azure, or GCP) with hands-on experience in deployments, migrations, and optimizations.
- Strong expertise in containerization (Docker) and orchestration tools (Kubernetes).
- Proficiency in scripting languages like Python, Bash, or PowerShell.
- Deep understanding of system security, networking, and load balancing.
- Strong analytical skills and problem-solving mindset.
- Certifications (e.g., AWS Certified Solutions Architect, Kubernetes Administrator) are a plus.
What We Offer:
- Opportunity to work with a cutting-edge tech stack in a product-first company.
- Collaborative and growth-oriented environment.
- Competitive salary and benefits.
- Freedom to innovate and contribute to impactful projects.
What the role needs
● Review of current DevOps infrastructure & redefine code merging strategy as per product roll out objectives
● Define deploy frequency strategy based on product roadmap document and ongoing product market fit relate tweaks and changes
● Architect benchmark docker configurations based on planned stack
● Establish uniformity of environment across developer machine to multiple production environments
● Plan & execute test automation infrastructure
● Setup automated stress testing environment
● Plan and execute logging & stack trace tools
● Review DevOps orchestration tools & choices
● Coordination with external data centers and AWS in the event of provisioning, outages or maintenance.
Requirements
● Extensive experience with AWS cloud infrastructure deployment and monitoring
● Advanced knowledge of programming languages such as Python and golang, and writing code and scripts
● Experience with Infrastructure as code & devops management tools - Terraform, Packer for devops asset management for monitoring, infrastructure cost estimations, and Infrastructure version management
● Configure and manage data sources like MySQL, MongoDB, Elasticsearch, Redis, Cassandra, Hadoop, etc
● Experience with network, infrastructure and OWASP security standards
● Experience with web server configurations - Nginx, HAProxy, SSL configurations with AWS, understanding & management of sub-domain based product rollout for clients .
● Experience with deployment and monitoring of event streaming & distributing technologies and tools - Kafka, RabbitMQ, NATS.io, socket.io
● Understanding & experience of Disaster Recovery Plan execution
● Working with other senior team members to devise and execute strategies for data backup and storage
● Be aware of current CVEs, potential attack vectors, and vulnerabilities, and apply patches as soon as possible
● Handle incident responses, troubleshooting and fixes for various services
Location: Bengaluru
Department: DevOps
We are looking for extraordinary infrastructure engineers to build a world class
cloud platform that scales to millions of users. You must have experience
building key portions of a highly scalable infrastructure using Amazon AWS and
should know EC2, S3, EMR like the back of your hand. You must enjoy working
in a fast-paced startup and enjoy wearing multiple hats to get the job done.
Responsibilities
● Manage AWS server farm Own AWS infrastructure automation and
support.
● Own production deployments in multiple AWS environments
● End-end backend engineering infra charter includes Dev ops,Global
deployment, Security and compliances according to latest practices.
Ability to guide the team in debugging production issues and write
best-of-the breed code.
● Drive “engineering excellence” (defects, productivity through automation,
performance of products etc) through clearly defined metrics.
● Stay current with the latest tools, technology ideas and methodologies;
share knowledge by clearly articulating results and ideas to key decision
makers.
● Hiring, mentoring and retaining a very talented team.
Requirements
● B.S. or M.S in Computer Science or a related field (math, physics,
engineering)
● 5-8 years of experience in maintaining infrastructure system/devops
● Enjoy playing with tech like nginx, haproxy, postgres, AWS, ansible,
docker, nagios, or graphite Deployment automation experience with
Puppet/Chef/Ansible/Salt Stack Work with small, tightly knit product
teams that function cohesively to move as quickly as possible.
● Determination to provide reliable and fault tolerant systems to the
application developers that consume them
● Experience in developing Java/C++ backend systems is a huge plus Be a
strong team player.
Preferred
Deep working knowledge of Linux servers and networked environments
Thorough understanding of distributed systems and the protocols they use,
including TCP/IP, RESTful APIs, SQL, NoSQL. Experience in managing a NoSQL
database (Cassandra) is a huge plus.
- 3-6 years of relevant work experience in a DevOps role.
- Deep understanding of Amazon Web Services or equivalent cloud platforms.
- Proven record of infra automation and programming skills in any of these languages - Python, Ruby, Perl, Javascript.
- Implement DevOps Industry best practices and the application of procedures to achieve a continuously deployable system
- Continuously improve and increase the capabilities of the CI/CD pipeline
- Support engineering teams in the implementation of life-cycle infrastructure solutions and documentation operations in order to meet the engineering departments quality and standards
- Participate in production outages and handle complex issues and works towards resolution
|
Azure, Azure AD, ADFS, Azure AD Connect, Microsoft Identity management |
|
Azure, Architecture, solution designing, Subscription Design |
We are looking for an experienced software engineer with a strong background in DevOps and handling traffic & infrastructure at scale.
Responsibilities :
Work closely with product engineers to implement scalable and highly reliable systems.
Scale existing backend systems to handle ever-increasing amounts of traffic and new product requirements.
Collaborate with other developers to understand & setup tooling needed for - Continuous Integration/Delivery/
Build & operate infrastructure to support website, backend cluster, ML projects in the organization.
Monitor and track performance and reliability of our services and software to meet promised SLA
2+ years of experience working on distributed systems and shipping high-quality product features on schedule
Intimate knowledge of the whole web stack (Front end, APIs, database, networks etc.)
Ability to build highly scalable, robust, and fault-tolerant services and stay up-to-date with the latest architectural trends
Experience with container based deployment, microservices, in-memory caches, relational databases, key-value stores
Hands-on experience with cloud infrastructure provisioning, deployment, monitoring (we are on AWS and use ECS, RDS, ELB, EC2, Elasticache, Elasticsearch, S3, CloudWatch)









