
Hiring for a funded fintech startup based out of Bangalore!!!
Our Ideal Candidate
We are looking for a Senior DevOps engineer to join the engineering team and help us automate the build, release, packaging and infrastructure provisioning and support processes. The candidate is expected to own the full life-cycle of provisioning, configuration management, monitoring, maintenance and support for cloud as well as on-premise deployments.
Requirements
- 5-plus years of DevOps experience managing the Big Data application stack including HDFS, YARN, Spark, Hive and Hbase
- Deeper understanding of all the configurations required for installing and maintaining the infrastructure in the long run
- Experience setting up high availability, configuring resource allocation, setting up capacity schedulers, handling data recovery tasks
- Experience with middle-layer technologies including web servers (httpd, ningx), application servers (Jboss, Tomcat) and database systems (postgres, mysql)
- Experience setting up enterprise security solutions including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc.
- Experience maintaining and hardening the infrastructure by regularly applying required security packages and patches
- Experience supporting on-premise solutions as well as on AWS cloud
- Experience working with and supporting Spark-based applications on YARN
- Experience with one or more automation tools such as Ansible, Teraform, etc
- Experience working with CI/CD tools like Jenkins and various test report and coverage plugins
- Experience defining and automating the build, versioning and release processes for complex enterprise products
- Experience supporting clients remotely and on-site
- Experience working with and supporting Java- and Python-based tech stacks would be a plus
Desired Non-technical Requirements
- Very strong communication skills both written and verbal
- Strong desire to work with start-ups
- Must be a team player
Job Perks
- Attractive variable compensation package
- Flexible working hours – everything is results-oriented
- Opportunity to work with an award-winning organization in the hottest space in tech – artificial intelligence and advanced machine learning

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Job Title: Senior Devops Engineer (Full-time)
Location: Mumbai, Onsite
Experience Required: 5+ Years
Job Description
We are seeking an experienced DevOps Engineer to build and manage infrastructure for a FinTech product company operating with stateful microservices. The deployment environments include hybrid cloud and on-premise setups. The ideal candidate must have strong production experience with Kubernetes, cloud platforms, and infrastructure automation.
Key Responsibilities
- Design, build, and manage infrastructure for stateful microservices (databases, queues, caching layers).
- Work on Kubernetes environments—both managed (EKS/AKS/GKE) and self-managed clusters.
- Build, enhance, and maintain custom Helm Charts for complex deployments.
- Set up and manage CI/CD pipelines using ArgoCD, FluxCD, or similar GitOps tools.
- Architect and optimize multi-tenant deployment models.
- Implement and manage high availability, load balancing, certificate management (SSL/TLS).
- Design deployment architectures based on business requirements.
- Manage cloud infrastructure on AWS/Azure including VPC, IAM, cloud networking, and security.
- Work with Infrastructure-as-Code (IaC) tools (Terraform/CloudFormation/Pulumi), including writing reusable modules.
- Monitor, troubleshoot, and optimize performance across production environments.
- Ensure security best practices in networking, access control, and secrets management.
Mandatory Skills
- 5+ years of DevOps experience in product-based companies (not services/consulting).
- Strong hands-on experience with stateful microservices in production.
- Deep expertise in Kubernetes (managed + self-managed).
- Strong ability to write custom Helm Charts.
- Experience with multi-tenant production environments.
- Expertise in AWS or Azure (cloud networking, IAM, VPC, security groups, etc.).
- Experience setting up GitOps-based CI/CD (ArgoCD/FluxCD).
- Strong understanding of HA, load balancing, DNS, SSL/TLS certificates.
- Ability to justify architectural decisions and propose deployment designs.
- Hands-on experience with IaC tools and writing custom Terraform/Pulumi modules.
Nice to Have
- Exposure to hybrid cloud deployments
- Knowledge of on-premise orchestration & networking
- Experience with service mesh (e.g., Istio, Linkerd)
- Experience with monitoring/logging tools (Prometheus, Grafana, Loki, ELK)
tools, build pile lines, deployment and production support.
• Maintaining mission critical day-to-day operations of the production processing platform and internal company resources.
• shall have sound and working knowledge of various devops tools like git, gitlab, jUnit, sonarqube, Jenkins, nagios etc.
• Shall have working knowledge of mentioned devOps tools.
• Analysing, executing and streamlining devops tools and practices.
• Automating processes with rights tools.
• Facilitating development process & operations.
• Establishing suitable devops channel across the organization.
• Setting up CI-CD to speed up software development and deployment process.
• Monitoring, reviewing and managing technical operations.
DevOps Lead Engineer
We are seeking a skilled DevOps Lead Engineer with 8 to 10 yrs. of experience who handles the entire DevOps lifecycle and is accountable for the implementation of the process. A DevOps Lead Engineer is liable for automating all the manual tasks for developing and deploying code and data to implement continuous deployment and continuous integration frameworks. They are also held responsible for maintaining high availability of production and non-production work environments.
Essential Requirements (must have):
• Bachelor's degree preferable in Engineering.
• Solid 5+ experience with AWS, DevOps, and related technologies
Skills Required:
Cloud Performance Engineering
• Performance scaling in a Micro-Services environment
• Horizontal scaling architecture
• Containerization (such as Dockers) & Deployment
• Container Orchestration (such as Kubernetes) & Scaling
DevOps Automation
• End to end release automation.
• Solid Experience in DevOps tools like GIT, Jenkins, Docker, Kubernetes, Terraform, Ansible, CFN etc.
• Solid experience in Infra Automation (Infrastructure as Code), Deployment, and Implementation.
• Candidates must possess experience in using Linux, Jenkins, and ample experience in Configuring and automating the monitoring tools.
• Strong scripting knowledge
• Strong analytical and problem-solving skills.
• Cloud and On-prem deployments
Infrastructure Design & Provisioning
• Infra provisioning.
• Infrastructure Sizing
• Infra Cost Optimization
• Infra security
• Infra monitoring & site reliability.
Job Responsibilities:
• Responsible for creating software deployment strategies that are essential for the successful
deployment of software in the work environment and provide stable environment for delivery of
quality.
• The DevOps Lead Engineer is accountable for designing, building, configuring, and optimizing
automation systems that help to execute business web and data infrastructure platforms.
• The DevOps Lead Engineer is involved in creating technology infrastructure, automation tools,
and maintaining configuration management.
• The Lead DevOps Engineer oversees and leads the activities of the DevOps team. They are
accountable for conducting training sessions for the juniors in the team, mentoring, career
support. They are also answerable for the architecture and technical leadership of the complete
DevOps infrastructure.
The Key Responsibilities Include But Not Limited to:
Help identify and drive Speed, Performance, Scalability, and Reliability related optimization based on experience and learnings from the production incidents.
Work in an agile DevSecOps environment in creating, maintaining, monitoring, and automation of the overall solution-deployment.
Understand and explain the effect of product architecture decisions on systems.
Identify issues and/or opportunities for improvements that are common across multiple services/teams.
This role will require weekend deployments
Skills and Qualifications:
1. 3+ years of experience in a DevOps end-to-end development process with heavy focus on service monitoring and site reliability engineering work.
2. Advanced knowledge of programming/scripting languages (Bash, PERL, Python, Node.js).
3. Experience in Agile/SCRUM enterprise-scale software development including working with GiT, JIRA, Confluence, etc.
4. Advance experience with core microservice technology (RESTFul development).
5. Working knowledge of using Advance AI/ML tools are pluses.
6. Working knowledge in the one or more of the Cloud Services: Amazon AWS, Microsoft Azure
7. Bachelors or Master’s degree in Computer Science or equivalent related field experience
Key Behaviours / Attitudes:
Professional curiosity and a desire to a develop deep understanding of services and technologies.
Experience building & running systems to drive high availability, performance and operational improvements
Excellent written & oral communication skills; to ask pertinent questions, and to assess/aggregate/report the responses.
Ability to quickly grasp and analyze complex and rapidly changing systemsSoft skills
1. Self-motivated and self-managing.
2. Excellent communication / follow-up / time management skills.
3. Ability to fulfill role/duties independently within defined policies and procedures.
4. Ability to balance multi-task and multiple priorities while maintaining a high level of customer satisfaction is key.
5. Be able to work in an interrupt-driven environment.Work with Dori Ai world class technology to develop, implement, and support Dori's global infrastructure.
As a member of the IT organization, assist with the analyze of existing complex programs and formulate logic for new complex internal systems. Prepare flowcharting, perform coding, and test/debug programs. Develop conversion and system implementation plans. Recommend changes to development, maintenance, and system standards.
Leading contributor individually and as a team member, providing direction and mentoring to others. Work is non-routine and very complex, involving the application of advanced technical/business skills in a specialized area. BS or equivalent experience in programming on enterprise or department servers or systems.
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.
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Collaborate closely with SaaS Operations team to handle day-to-day production activities - handling alerts and incidents.
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Assist SaaS Operations team to handle customers focus projects: migrations, features enablement.
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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.
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Experience with containerization, deployment, and operations.
-
Strong knowledge of CI/CD processes (Git, Jenkins, Pipelines).
-
Good experience with Linux systems and Shell scripting.
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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.
- Public clouds, such as AWS, Azure, or Google Cloud Platform
- Automation technologies, such as Kubernetes or Jenkins
- Configuration management tools, such as Puppet or Chef
- Scripting languages, such as Python or Ruby
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)
Job Description
Please connect me on Linkedin or share your Resume on shrashti jain
• 8+ years of overall experience and relevant of at least 4+ years. (Devops experience has be more when compared to the overall experience)
• Experience with Kubernetes and other container management solutions
• Should have hands on and good understanding on DevOps tools and automation framework
• Demonstrated hands-on experience with DevOps techniques building continuous integration solutions using Jenkins, Docker, Git, Maven
• Experience with n-tier web application development and experience in J2EE / .Net based frameworks
• Look for ways to improve: Security, Reliability, Diagnostics, and costs
• Knowledge of security, networking, DNS, firewalls, WAF etc
• Familiarity with Helm, Terraform for provisioning GKE,Bash/shell scripting
• Must be proficient in one or more scripting languages: Unix Shell, Perl, Python
• Knowledge and experience with Linux OS
• Should have working experience with monitoring tools like DataDog, Elk, and/or SPLUNK, or any other monitoring tools/processes
• Experience working in Agile environments
• Ability to handle multiple competing priorities in a fast-paced environment
• Strong Automation and Problem-solving skills and ability
• Experience of implementing and supporting AWS based instances and services (e.g. EC2, S3, EBS, ELB, RDS, IAM, Route53, Cloudfront, Elasticache).
•Very strong hands with Automation tools such Terraform
• Good experience with provisioning tools such as Ansible, Chef
• Experience with CI CD tools such as Jenkins.
•Experience managing production.
• Good understanding of security in IT and the cloud
• Good knowledge of TCP/IP
• Good Experience with Linux, networking and generic system operations tools
• Experience with Clojure and/or the JVM
• Understanding of security concepts
• Familiarity with blockchain technology, in particular Tendermint









