Job Description:
Responsibilities
· Having E2E responsibility for Azure landscape of our customers
· Managing to code release and operational tasks within a global team with a focus on automation, maintainability, security and customer satisfaction
· Make usage of CI/CD framework to rapidly support lifecycle management of the platform
· Acting as L2-L3 support for incidents, problems and service request
· Work with various Atos and 3rd party teams to resolve incidents and implement changes
· Implement and drive automation and self-healing solutions to reduce toil
· Enhance error budgets and hands on design and development of solutions to address reliability issues and/or risks
· Support ITSM processes and collaborate with service management representatives
Job Requirements
· Azure Associate certification or equivalent knowledge level
· 5+ years of professional experience
· Experience with Terraform and/or native Azure automation
· Knowledge of CI/CD concepts and toolset (i.e. Jenkins, Azure DevOps, Git)
· Must be adaptable to work in a varied, fast paced exciting, ever changing environment
· Good analytical and problem-solving skills to resolve technical issues
· Understanding of Agile development and SCRUM concepts a plus
· Experience with Kubernetes architecture and tools a plus

About Wallero technologies
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Job Title: Lead DevOps Engineer
Experience Required: 8+ years in DevOps or related fields
Employment Type: Full-time
About the Role:
We are seeking a highly skilled and experienced Lead DevOps Engineer. This role will focus on driving the design, implementation, and optimization of our CI/CD pipelines, cloud infrastructure, and operational processes. As a Lead DevOps Engineer, you will play a pivotal role in enhancing the scalability, reliability, and security of our systems while mentoring a team of DevOps engineers to achieve operational excellence.
Key Responsibilities:
Infrastructure Management: Architect, deploy, and maintain scalable, secure, and resilient cloud infrastructure (e.g., AWS, Azure, or GCP).
CI/CD Pipelines: Design and optimize CI/CD pipelines, to improve development velocity and deployment quality.
Automation: Automate repetitive tasks and workflows, such as provisioning cloud resources, configuring servers, managing deployments, and implementing infrastructure as code (IaC) using tools like Terraform, CloudFormation, or Ansible.
Monitoring & Logging: Implement robust monitoring, alerting, and logging systems for enterprise and cloud-native environments using tools like Prometheus, Grafana, ELK Stack, NewRelic or Datadog.
Security: Ensure the infrastructure adheres to security best practices, including vulnerability assessments and incident response processes.
Collaboration: Work closely with development, QA, and IT teams to align DevOps strategies with project goals.
Mentorship: Lead, mentor, and train a team of DevOps engineers to foster growth and technical expertise.
Incident Management: Oversee production system reliability, including root cause analysis and performance tuning.
Required Skills & Qualifications:
Technical Expertise:
Strong proficiency in cloud platforms like AWS, Azure, or GCP.
Advanced knowledge of containerization technologies (e.g., Docker, Kubernetes).
Expertise in IaC tools such as Terraform, CloudFormation, or Pulumi.
Hands-on experience with CI/CD tools, particularly Bitbucket Pipelines, Jenkins, GitLab CI/CD, Github Actions or CircleCI.
Proficiency in scripting languages (e.g., Python, Bash, PowerShell).
Soft Skills:
Excellent communication and leadership skills.
Strong analytical and problem-solving abilities.
Proven ability to manage and lead a team effectively.
Experience:
8+ years of experience in DevOps or Site Reliability Engineering (SRE).
3+ years in a leadership or team lead role, with proven experience managing distributed teams, mentoring team members, and driving cross-functional collaboration.
Strong understanding of microservices, APIs, and serverless architectures.
Nice to Have:
Certifications like AWS Certified Solutions Architect, Kubernetes Administrator, or similar.
Experience with GitOps tools such as ArgoCD or Flux.
Knowledge of compliance standards (e.g., GDPR, SOC 2, ISO 27001).
Perks & Benefits:
Competitive salary and performance bonuses.
Comprehensive health insurance for you and your family.
Professional development opportunities and certifications, including sponsored certifications and access to training programs to help you grow your skills and expertise.
Flexible working hours and remote work options.
Collaborative and inclusive work culture.
Join us to build and scale world-class systems that empower innovation and deliver exceptional user experiences.

We are now seeking a talented and motivated individual to contribute to our product in the Cloud data
protection space. Ability to clearly comprehend customer needs in a cloud environment, excellent
troubleshooting skills, and the ability to focus on problem resolution until completion are a requirement.
Responsibilities Include:
Review proposed feature requirements
Create test plan and test cases
Analyze performance, diagnosis, and troubleshooting
Enter and track defects
Interact with customers, partners, and development teams
Researching customer issues and product initiatives
Provide input for service documentation
Required Skills:
Bachelor's degree in Computer Science, Information Systems or related discipline
3+ years' experience inclusive of Software as a Service and/or DevOps engineering experience
Experience with AWS services like VPC, EC2, RDS, SES, ECS, Lambda, S3, ELB
Experience with technologies such as REST, Angular, Messaging, Databases, etc.
Strong troubleshooting skills and issue isolation skills
Possess excellent communication skills (written and verbal English)
Must be able to work as an individual contributor within a team
Ability to think outside the box
Experience in configuring infrastructure
Knowledge of CI / CD
Desirable skills:
Programming skills in scripting languages (e.g., python, bash)
Knowledge of Linux administration
Knowledge of testing tools/frameworks: TestNG, Selenium, etc
Knowledge of Identity and Security
Description
DevOps Engineer / SRE
- Understanding of maintenance of existing systems (Virtual machines), Linux stack
- Experience running, operating and maintainence of Kubernetes pods
- Strong Scripting skills
- Experience in AWS
- Knowledge of configuring/optimizing open source tools like Kafka, etc.
- Strong automation maintenance - ability to identify opportunities to speed up build and deploy process with strong validation and automation
- Optimizing and standardizing monitoring, alerting.
- Experience in Google cloud platform
- Experience/ Knowledge in Python will be an added advantage
- Experience on Monitoring Tools like Jenkins, Kubernetes ,Nagios,Terraform etc
Kutumb is the first and largest communities platform for Bharat. We are growing at an exponential trajectory. More than 1 Crore users use Kutumb to connect with their community. We are backed by world-class VCs and angel investors. We are growing and looking for exceptional Infrastructure Engineers to join our Engineering team.
More on this here - https://kutumbapp.com/why-join-us.html">https://kutumbapp.com/why-join-us.html
We’re excited if you have:
- Recent experience designing and building unified observability platforms that enable companies to use the sometimes-overwhelming amount of available data (metrics, logs, and traces) to determine quickly if their application or service is operating as desired
- Expertise in deploying and using open-source observability tools in large-scale environments, including Prometheus, Grafana, ELK (ElasticSearch + Logstash + Kibana), Jaeger, Kiali, and/or Loki
- Familiarity with open standards like OpenTelemetry, OpenTracing, and OpenMetrics
- Familiarity with Kubernetes and Istio as the architecture on which the observability platform runs, and how they integrate and scale. Additionally, the ability to contribute improvements back to the joint platform for the benefit of all teams
- Demonstrated customer engagement and collaboration skills to curate custom dashboards and views, and identify and deploy new tools, to meet their requirements
- The drive and self-motivation to understand the intricate details of a complex infrastructure environment
- Using CICD tools to automatically perform canary analysis and roll out changes after passing automated gates (think Argo & keptn)
- Hands-on experience working with AWS
- Bonus points for knowledge of ETL pipelines and Big data architecture
- Great problem-solving skills & takes pride in your work
- Enjoys building scalable and resilient systems, with a focus on systems that are robust by design and suitably monitored
- Abstracting all of the above into as simple of an interface as possible (like Knative) so developers don't need to know about it unless they choose to open the escape hatch
What you’ll be doing:
- Design and build automation around the chosen tools to make onboarding new services easy for developers (dashboards, alerts, traces, etc)
- Demonstrate great communication skills in working with technical and non-technical audiences
- Contribute new open-source tools and/or improvements to existing open-source tools back to the CNCF ecosystem
Tools we use:
Kops, Argo, Prometheus/ Loki/ Grafana, Kubernetes, AWS, MySQL/ PostgreSQL, Apache Druid, Cassandra, Fluentd, Redis, OpenVPN, MongoDB, ELK
What we offer:
- High pace of learning
- Opportunity to build the product from scratch
- High autonomy and ownership
- A great and ambitious team to work with
- Opportunity to work on something that really matters
- Top of the class market salary and meaningful ESOP ownership
We are looking for a Senior Platform Engineer responsible for handling our GCP/AWS clouds. The candidate will be responsible for automating the deployment of cloud infrastructure and services to support application development and hosting (architecting, engineering, deploying, and operationally managing the underlying logical and physical cloud computing infrastructure).
Job Description:
● Collaborate with teams to build and deliver solutions implementing serverless, microservice-based, IaaS, PaaS, and containerized architectures in GCP/AWS environments.
●Responsible for deploying highly complex, distributed transaction processing systems.
● Work on continuous improvement of the products through innovation and learning. Someone with a knack for benchmarking and optimization
● Hiring, developing, and cultivating a high and reliable cloud support team ● Building and operating complex CI/CD pipelines at scale
● Work with GCP Services, Private Service Connect, Cloud Run, Cloud Functions, Pub/Sub, Cloud Storage, Networking
● Collaborate with Product Management and Product Engineering teams to drive excellence in Google Cloud products and features.
● Ensures efficient data storage and processing functions by company security policies and best practices in cloud security.
● Ensuring scaled database setup/monitoring with near zero downtime
As a MLOps Engineer in QuantumBlack you will:
Develop and deploy technology that enables data scientists and data engineers to build, productionize and deploy machine learning models following best practices. Work to set the standards for SWE and
DevOps practices within multi-disciplinary delivery teams
Choose and use the right cloud services, DevOps tooling and ML tooling for the team to be able to produce high-quality code that allows your team to release to production.
Build modern, scalable, and secure CI/CD pipelines to automate development and deployment
workflows used by data scientists (ML pipelines) and data engineers (Data pipelines)
Shape and support next generation technology that enables scaling ML products and platforms. Bring
expertise in cloud to enable ML use case development, including MLOps
Our Tech Stack-
We leverage AWS, Google Cloud, Azure, Databricks, Docker, Kubernetes, Argo, Airflow, Kedro, Python,
Terraform, GitHub actions, MLFlow, Node.JS, React, Typescript amongst others in our projects
Key Skills:
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
(Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security
• Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at
least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow,
Kubeflow)
• Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries
(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
• Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least
one common RDBMS (MySQL, Postgres, SQL Server, Oracle)
Contract to hire
Total 8 years of experience and relevant 4 years
• Experience with building and deploying software in the cloud, preferably on Google Cloud Platform (GCP)
• Sound knowledge to build infrastructure as code with Terraform
• Comfortable with test-driven development, testing frameworks and building CI/CD pipelines with version control software Gitlab
• Strong skills of containerisation with Docker, Kubernetes and Helm
• Familiar with Gitlab, systems integration and BDD
• Solid networking skills e.g. IP, DNS, VPN, HTTP/HTTPS
• Scripting experience (Bash, Python, etc.)
• Experience in Linux/Unix administration
• Experience with agile methods and practices (Scrum, Kanban, Continuous Integration, Pair Programming, TDD)









