Systems Engineer (L2)

Job Title : DevOps Engineer – Fintech (Product-Based)

Experience : 5+ Years

Location : Mumbai

Job Type : Full-Time | Product Company

Role Summary :

We are hiring a DevOps Engineer with strong product-based experience to manage infrastructure for a Fintech platform built on stateful microservices.

The role involves working across hybrid cloud + on-prem, with deep expertise in Kubernetes, Helm, GitOps, IaC, and Cloud Networking.

Mandatory Skills :

Product-based experience, deep Kubernetes (managed & self-managed), custom Helm Chart development, ArgoCD/FluxCD (GitOps), strong AWS/Azure cloud networking & security, IaC module development (Terraform/Pulumi/CloudFormation), experience with stateful microservices (DBs/queues/caches), multi-tenant deployments, HA/load balancing/SSL/TLS/cert management.

Key Responsibilities :

• Deploy and manage stateful microservices in production.
• Handle both managed & self-managed Kubernetes clusters.
• Develop and maintain custom Helm Charts.
• Implement GitOps pipelines using ArgoCD/FluxCD.
• Architect and operate secure infra on AWS/Azure (VPC, IAM, networking).
• Build reusable IaC modules using Terraform/CloudFormation/Pulumi.
• Design multi-tenant cluster deployments.
• Manage HA, load balancers, certificates, DNS, and networking.

Mandatory Skills :

• Product-based company experience.
• Strong Kubernetes (EKS/AKS/GKE + self-managed).
• Custom Helm Chart development.
• GitOps tools : ArgoCD/FluxCD.
• AWS/Azure cloud networking & security.
• IaC module development (Terraform/Pulumi/CloudFormation).
• Experience with stateful components (DBs, queues, caches).
• Understanding of multi-tenant deployments, HA, SSL/TLS, ingress, LB.

JOB DETAILS:

* Job Title: Specialist I - DevOps Engineering

* Industry: Global Digital Transformation Solutions Provider

* Salary: Best in Industry

* Experience: 7-10 years

* Location: Bengaluru (Bangalore), Chennai, Hyderabad, Kochi (Cochin), Noida, Pune, Thiruvananthapuram

Job Description

Job Summary:

As a DevOps Engineer focused on Perforce to GitHub migration, you will be responsible for executing seamless and large-scale source control migrations. You must be proficient with GitHub Enterprise and Perforce, possess strong scripting skills (Python/Shell), and have a deep understanding of version control concepts.

The ideal candidate is a self-starter, a problem-solver, and thrives on challenges while ensuring smooth transitions with minimal disruption to development workflows.

Key Responsibilities:

• Analyze and prepare Perforce repositories — clean workspaces, merge streams, and remove unnecessary files.
• Handle large files efficiently using Git Large File Storage (LFS) for files exceeding GitHub’s 100MB size limit.
• Use git-p4 fusion (Python-based tool) to clone and migrate Perforce repositories incrementally, ensuring data integrity.
• Define migration scope — determine how much history to migrate and plan the repository structure.
• Manage branch renaming and repository organization for optimized post-migration workflows.
• Collaborate with development teams to determine migration points and finalize migration strategies.
• Troubleshoot issues related to file sizes, Python compatibility, network connectivity, or permissions during migration.

Required Qualifications:

• Strong knowledge of Git/GitHub and preferably Perforce (Helix Core) — understanding of differences, workflows, and integrations.
• Hands-on experience with P4-Fusion.
• Familiarity with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes).
• Proficiency in migration tools such as git-p4 fusion — installation, configuration, and troubleshooting.
• Ability to identify and manage large files using Git LFS to meet GitHub repository size limits.
• Strong scripting skills in Python and Shell for automating migration and restructuring tasks.
• Experience in planning and executing source control migrations — defining scope, branch mapping, history retention, and permission translation.
• Familiarity with CI/CD pipeline integration to validate workflows post-migration.
• Understanding of source code management (SCM) best practices, including version history and repository organization in GitHub.
• Excellent communication and collaboration skills for cross-team coordination and migration planning.
• Proven practical experience in repository migration, large file management, and history preservation during Perforce to GitHub transitions.

Skills: Github, Kubernetes, Perforce, Perforce (Helix Core), Devops Tools

Must-Haves

Git/GitHub (advanced), Perforce (Helix Core) (advanced), Python/Shell scripting (strong), P4-Fusion (hands-on experience), Git LFS (proficient)

Job Title: AWS DevOps Engineer

Experience Level: 5+ Years

Location: Bangalore, Pune, Hyderabad, Chennai and Gurgaon

Summary:

We are looking for a hands-on Platform Engineer with strong execution skills to provision and manage cloud infrastructure. The ideal candidate will have experience with Linux, AWS services, Kubernetes, and Terraform, and should be capable of troubleshooting complex issues in cloud and container environments.

Key Responsibilities:

• Provision AWS infrastructure using Terraform (IaC).
• Manage and troubleshoot Kubernetes clusters (EKS/ECS).
• Work with core AWS services: VPC, EC2, S3, RDS, Lambda, ALB, WAF, and CloudFront.
• Support CI/CD pipelines using Jenkins and GitHub.
• Collaborate with teams to resolve infrastructure and deployment issues.
• Maintain documentation of infrastructure and operational procedures.

Required Skills:

• 3+ years of hands-on experience in AWS infrastructure provisioning using Terraform.
• Strong Linux administration and troubleshooting skills.
• Experience managing Kubernetes clusters.
• Basic experience with CI/CD tools like Jenkins and GitHub.
• Good communication skills and a positive, team-oriented attitude.

Preferred:

• AWS Certification (e.g., Solutions Architect, DevOps Engineer).
• Exposure to Agile and DevOps practices.
• Experience with monitoring and logging tools.

The DevOps Engineer will play a critical role in operationalizing artificial intelligence across Bell Techlogix client environments. This role focuses on building and supporting cloud infrastructure, CI/CD pipelines, and automation frameworks that power AI and machine learning workloads. The ideal candidate has experience supporting AI platforms such as Azure AI, Azure Machine Learning, Azure OpenAI, and ServiceNow or conversational AI platforms, and understands the operational requirements of production AI systems, including reliability, scalability, and security. 

Key Responsibilities 

•Design, build, and operate cloud infrastructure and platform services that support AI and machine learning workloads in production, SLA-driven managed services environments 

•Implement CI/CD and MLOps pipelines to enable automated training, testing, deployment, and rollback of AI and ML models 

•Develop and maintain Infrastructure as Code to provision AI-ready environments consistently across dev/test/prod 

•Support AI platform operations including monitoring model health, pipeline execution, compute utilization, and data dependencies 

•Partner with Machine Learning Engineers and Data Engineers to standardize deployment patterns for AI services and LLM-based solutions 

•Enable secure and scalable AI integrations using APIs, messaging, and event-driven architectures 

•Implement observability solutions for AI platforms, including logging, metrics, alerting, and drift detection integrations 

•Troubleshoot AI platform incidents, perform root cause analysis, and implement remediation to improve reliability and automation coverage 

•Apply security best practices for AI environments including secrets management, identity and access controls, network isolation, and policy enforcement 

•Support AI-driven automation use cases across platforms such as Microsoft Copilot, ServiceNow, and conversational AI tools 

•Collaborate with service desk, security, and architecture teams to continuously improve AI service delivery and operational maturity 

Required Qualifications 

•Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience 

•5+ years of experience in DevOps, cloud engineering, or platform operations, with exposure to AI or data workloads 

•Hands-on experience with Microsoft Azure, including compute, networking, storage, and monitoring services 

•Experience building CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools 

•Working knowledge of Infrastructure as Code (Terraform and/or Bicep/ARM) 

•Scripting experience using PowerShell and/or Python 

•Experience supporting production platforms with incident management, change control, and root cause analysis 

•Understanding of cloud security fundamentals and enterprise governance requirements 

Preferred Qualifications 

•Experience with Azure Machine Learning, Azure AI Services, Azure OpenAI, or MLOps frameworks 

•Exposure to containerization and orchestration technologies (Docker, Kubernetes, AKS) 

•Experience supporting data pipelines or feature stores used by machine learning systems 

•Familiarity with ServiceNow, AI-driven ITSM workflows, or automation platforms 

•Experience with observability tools 

•Knowledge of Responsible AI, data governance, and compliance considerations for AI systems 

•Relevant certifications (Microsoft Azure Administrator, Azure DevOps Engineer, Azure AI Engineer)

Primary Skills:

Linux – Ubuntu Administration, Git, Gerrit, Jenkins Administration, Cloud services (Preferred AWS) Apache, Ansible, Python, Postgresql, Rabbit MQ, CloudWatch AWS, CFT in AWS

Additional Skills Required:

• Should have experience working with Jenkins, Git, Gerrit
• Should have Good understanding of AWS Security and execution.
• Should have Good python skills
• Should have experience of working with GIT, Gerrit, Jira, Confluence,
• Exposure to messaging systems Rabbit MQ
• Exposure to Html, Groovy, Javascript, shell scripting
• Exposure to Kibana, Provisioning, capacity planning and performance analysis at various levels
• Exposure to Android skills.
• Should have experience in working with cloud-native architecture.
• Experience with log stash and elastic search
• Expert in Full Stack design technique as well as experience working across large environments with multiple operating systems/infrastructure for large-scale programs
• May be recognized as a leader in Agile and cultivating teams working in Agile frameworks
• Strong understanding of techniques such as Continuous Integration, Continuous Delivery, Test Driven Development, Cloud Development, resiliency, security
• Stays abreast of cutting edge technologies/trends and uses experience to influence application of those technologies/trends to support the business
• Experience on Modelling and Provisioning cloud infrastructure using AWS CloudFormation

Key Responsibilities:

• Perform a Technical Lead role for DevOPs development and support teams.
• Need to communicate & coordinate with both offshore and onsite teams
• Should translate business requirements into project plans and workable item/activities
• Have a thorough understanding of software development lifecycle and the ability to implement software following the structured approach.
• Need to perform in-depth technical reviews of project deliverables and ensure it should be defect free (minimize post release defects).
• Understand the current applications and technical architecture and improvise them as needed.
• Stay abreast of new technologies, methods to optimize development process and latest SDKs, testing tools etc

DevOps & Automation:

• Experience in CI/CD tools like Azure DevOps, YAML, Git, and GitHub. Capable of automating build, test, and deployment processes to streamline application delivery.
• Hands-on experience with Infrastructure as Code (IaC) tools such as Bicep (preferred), Terraform, Ansible, and ARM Templates.

Cloud Services & Architecture:

• Experience in Azure Cloud services, including Web Apps, AKS, Application Gateway, APIM, and Logic Apps.
• Good understanding of cloud design patterns, security best practices, and cost optimization strategies.

Scripting & Automation:

• Experience in developing and maintaining automation scripts using PowerShell to manage, monitor, and support applications.
• Familiar with Azure CLI, REST APIs, and automating workflows using Azure DevOps Pipelines.

Data Integration & ADF:

• Working knowledge or basic hands-on experience with Azure Data Factory (ADF), focusing on developing and managing data pipelines and workflows.
• Knowledge of data integration practices, including ETL/ELT processes and data transformations.

Application Management & Monitoring:

• Ability to provide comprehensive support for both new and legacy applications.
• Proficient in managing and monitoring application performance using tools like Azure Monitor, Log Analytics, and Application Insights.
• Understanding of application security principles and best practices.

Database Skills:

• Basic experience of SQL and Azure SQL, including database backups, restores, and application data management.

KaiOS is a mobile operating system for smart feature phones that stormed the scene to become the 3rd largest mobile OS globally (2nd in India ahead of iOS). We are on 100M+ devices in 100+ countries. We recently closed a Series B round with Cathay Innovation, Google and TCL.

What we are looking for:

• BE/B-Tech in Computer Science or related discipline
• 3+ years of overall commercial DevOps / infrastructure experience, cross-functional delivery-focused agile environment; previous experience as a software engineer and ability to see into and reason about the internals of an application a major plus
• Extensive experience designing, delivering and operating highly scalable resilient mission-critical backend services serving millions of users; experience operating and evolving multi-regional services a major plus
• Strong engineering skills; proficiency in programming languages
• Experience in Infrastructure-as-code tools, for example Terraform, CloudFormation
• Proven ability to execute on a technical and product roadmap
• Extensive experience with iterative development and delivery
• Extensive experience with observability for operating robust distributed systems – instrumentation, log shipping, alerting, etc.
• Extensive experience with test and deployment automation, CI / CD
• Extensive experience with infrastructure-as-code and tooling, such as Terraform
• Extensive experience with AWS, including services such as ECS, Lambda, DynamoDB, Kinesis, EMR, Redshift, Elasticsearch, RDS, CloudWatch, CloudFront, IAM, etc.
• Strong knowledge of backend and web technology; infrastructure experience with at-scale modern data technology a major plus
• Deep expertise in server-side security concerns and best practices
• Fluency with at least one programming language. We mainly use Golang, Python and JavaScript so far
• Outstanding analytical thinking, problem solving skills and attention to detail
• Excellent verbal and written communication skills

Requirements

Designation: DevOps Engineer

Location: Bangalore OR Hongkong

Experience: 4 to 7 Years

Notice period: 30 days or Less