YOUR ROLE SPECIFICATIONS
Areas of responsibility include but not limited to:
- Create and execute a strategy and roadmap to migrate to Dynamics 365 for all business units.
- Lead and support Trade & Logistics and Manufacturing process areas in MS Dynamics AX2012, across business units in 9+ countries.
- Interact with and manage key stakeholders in Supply Chain, Manufacturing and Sales functions to ensure seamless business execution and drive enhanced value from ERP and related IT solutions through process standardization and integration.
- Responsible for managing the MS Dynamics AX upgrades, enhancements, new functionalities, business case development and performance measurement as needed by the businesses from time-to-time.
- Evaluate and drive adoption of new technologies (like Bar Code based Inventory Management, Warehouse Management Systems, EDI interfaces with customers and 3PL partners, etc.) in Supply Chain and Manufacturing processes
- Evaluate and recommend business process improvement solutions using industry best practices.
- Manage Application Management Support (through a team from our IT Partner) for T&L and Manufacturing processes of MS Dynamics AX2012 currently and Dynamics 365 subsequently, ensuring adherence to agreed SLAs.
- Drive implementation and adoption of business analytics and KPIs using solutions like Data warehouse and Qlikview.

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Job Title : DevOps Engineer
Experience : 3+ Years
Location : Mumbai
Employment Type : Full-time
Job Overview :
We’re looking for an experienced DevOps Engineer to design, build, and manage Kubernetes-based deployments for a microservices data discovery platform.
The ideal candidate has strong hands-on expertise with Helm, Docker, CI/CD pipelines, and cloud networking — and can handle complex deployments across on-prem, cloud, and air-gapped environments.
Mandatory Skills :
✅ Helm, Kubernetes, Docker
✅ Jenkins, ArgoCD, GitOps
✅ Cloud Networking (VPCs, bare metal vs. VMs)
✅ Storage (MinIO, Ceph, NFS, S3/EBS)
✅ Air-gapped & multi-tenant deployments
Key Responsibilities :
- Build and customize Helm charts from scratch.
- Implement CI/CD pipelines using Jenkins, ArgoCD, GitOps.
- Manage containerized deployments across on-prem/cloud setups.
- Work on air-gapped and restricted environments.
- Optimize for scalability, monitoring, and security (Prometheus, Grafana, RBAC, HPA).
Cassandra Administrator
Experience: 4+ Years
Location: Hyderabad / Bangalore / Chennai / Mumbai / Pune / Kolkata / Gurgaon
Client: Deloitte
Job Description
We are looking for an experienced Cassandra Administrator with strong expertise in Apache Cassandra and DataStax Enterprise (DSE) environments. The ideal candidate should have hands-on experience in database administration, performance tuning, high availability, and migration activities.
Key Responsibilities
- Install, configure, upgrade, and maintain DSE Cassandra database clusters.
- Monitor database performance and optimize for scalability and availability.
- Set up and manage replication, backup, and recovery processes.
- Perform DSE Cassandra migration from RHEL to AWS Amazon Linux 2023.
- Troubleshoot and resolve database performance issues and outages.
- Collaborate with Development and DevOps teams to provide database support.
- Develop and maintain automation scripts using Shell, Python, or Ansible.
- Create and maintain technical documentation.
- Implement disaster recovery and high-availability solutions.
- Assist in designing highly scalable and fault-tolerant systems.
Required Skills
- 4+ years of experience in NoSQL database administration.
- Strong hands-on experience with Apache Cassandra / DataStax Enterprise (DSE).
- Good understanding of Cassandra architecture, consistency levels, partitioning, compaction, gossip protocol, and snitches.
- Experience with Nodetool, CQLSH, and DataStax OpsCenter.
- Proficiency in Cassandra Query Language (CQL).
- Hands-on experience in performance tuning and troubleshooting.
- Strong knowledge of Linux/Unix environments.
- Experience with Shell scripting or Python.
- Familiarity with AWS and monitoring tools such as Prometheus, Grafana, and ELK Stack.
Nice to Have
- Experience with Ansible.
- Exposure to high availability and disaster recovery solutions.
Notice Period: Immediate to 30 days preferred.
Location: Bangalore preferred / Hybrid as applicable
Experience: 3+ years
Education: B.E/B.Tech in Computer Science, Engineering or a related technical discipline
Salary: Above market standards, flexible for the right candidate
Career growth: Long-term opportunity with potential to lead DevOps architecture and cloud platform operations
About FrontM
FrontM builds software platforms for frontline workforces operating in remote and low-connectivity environments, with a strong focus on the maritime industry. The platform supports communication, collaboration, healthcare, learning, welfare and operational workflows across mobile, web, kiosk and connected device environments.
The platform runs across cloud infrastructure, constrained networks and specialised customer environments, requiring reliable DevOps practices, strong observability, secure architecture and careful operational discipline.
Role Summary
As a Senior DevOps Engineer, you will take ownership of FrontM’s AWS cloud infrastructure, CI/CD pipelines, platform reliability and technical operations. You will work closely with the VP of Delivery, CTO and CEO to maintain secure, scalable and high-availability infrastructure for FrontM’s production systems.
This role requires strong hands-on DevOps experience, broad AWS knowledge, Kubernetes experience and the ability to troubleshoot complex networking and production issues across multi-domain SaaS environments.
Key Responsibilities
Cloud Infrastructure & DevOps Architecture (≈45%)
· Own, maintain and improve AWS cloud infrastructure for FrontM platforms
· Create and maintain Terraform scripts for infrastructure deployment and management
· Manage Kubernetes workloads deployed within AWS EKS
· Support multi-zone AWS infrastructure design for availability, resilience and scale
· Maintain AWS services including Route 53, EC2, API Gateway, VPC, VPN, AWS Cognito, ElastiCache, DynamoDB and Lambda
· Contribute to DevOps architecture planning in line with FrontM’s platform roadmap
CI/CD, Operations & Platform Reliability (≈35%)
· Build, maintain and improve CI/CD pipelines for backend and platform services
· Oversee technical operations with hands-on administration, monitoring and release support
· Ensure continuous server uptime, stability, performance and maintainability
· Debug, respond to and restore system outages in production and staging environments
· Improve observability across infrastructure and applications, including migration from Elastic stack to logz.io
· Support backend stability, scale and performance across Node.js, Java and related services
Security, Networking & Production Support (≈20%)
· Maintain AWS security configurations, access controls and monitoring practices
· Support complex networking requirements across multi-domain SaaS implementations
· Troubleshoot network, infrastructure and access issues with internal teams and customer-side users
· Work with backend teams to support API integrations and infrastructure abstractions for complex requirements
· Document operational procedures, incident findings and technical support steps clearly
Required Technical Skills
Cloud Infrastructure & AWS
· Strong hands-on experience with AWS infrastructure and cloud operations
· Experience with Route 53, EC2, API Gateway, VPC, VPN, AWS Cognito, ElastiCache, DynamoDB and Lambda
· Experience with AWS security setup, monitoring and multi-zone infrastructure
· Ability to manage infrastructure using Terraform
Kubernetes, CI/CD & Observability
· Strong experience with Kubernetes, preferably AWS EKS
· Extensive CI/CD and DevOps experience
· Experience with infrastructure observability and application monitoring tools
· Ability to diagnose production bottlenecks, server failures and performance issues
Backend, Networking & SaaS Operations
· Experience supporting Node.js, Java and backend system procedures for stability and scale
· Good understanding of APIs, integrations and backend service dependencies
· Experience with complex networking and multi-domain SaaS implementations
· Ability to troubleshoot technical issues with non-technical end users
Nice to Have
· Experience with MongoDB clusters in MongoDB Atlas
Personal Attributes
· Strong ownership mindset for uptime, reliability and production stability
· Practical problem-solving approach with the ability to act quickly during incidents
· Clear written and spoken communication in English
· Ability to work independently and coordinate with senior management when required
· Comfortable working in fast-moving engineering teams
· Attention to detail in security, monitoring, documentation and operational processes
Why join FrontM?
Long-Term Career Growth
Opportunity to work on cloud infrastructure used by global maritime and remote workforce customers, with scope to grow into DevOps architecture and platform leadership roles.
Engineering Challenges That Matter
Work on infrastructure that supports applications used in remote, low-bandwidth and operationally demanding environments.
Broad Technical Ownership
Take responsibility across cloud infrastructure, Kubernetes, CI/CD, observability, networking, security and production reliability.
Apply now
Join a team focused on building reliable software infrastructure for real-world use cases and contribute to systems used across the global maritime workforce.
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)
Position Summary
Cloud Engineer helps to solutionize, enable, migrate and onboard clients to a secure cloud
platform, which offload the heavy lifting for the clients so that they can focus on their own business
value creation.
Job Description
- Assessing existing customer systems and/or cloud environment to determine the best migration approach and supporting tools used
- Build a secure and compliant cloud environment, with a proven enterprise operating model, on-going cost optimisation, and day-to-day infrastructure management
- Provide and implement cloud solutions to reduce operational overhead and risk, and automates common activities, such as change requests, monitoring, patch management, security, and backup services, and provides full-lifecycle services to provision, run, and support their infrastructure
- Collaborate with internal service teams to meet the clients’ needs for their infrastructure and application deployments
- Troubleshoot complex infrastructure deployments, recreate customer issues, and build proof of concept environments that abide by cloud-best-practices & well architecture frameworks
- Apply advanced troubleshooting techniques to provide unique solutions to our customers’ individual needs
- Work on critical, highly complex customer problems that will span across multiple cloud platforms and services
- Identify and drive improvements on process and technical related issues. Act as an escalation point of contact for the clients
- Drive clients meetings & communication during reviews
Requirement:
- Degree in computer science or a similar field.
- At least 2 year of experience in the field of cloud computing.
- Experience with CI/CD systems.
- Strong in Cloud services
- Exposure to AWS/GCP and other cloud-based infrastructure platforms
- Experience with AWS configuration and management – EC2, S3, EBS, ELB, IAM, VPC, RDS, CloudFront etc
- Exposure in architecting, designing, developing, and implementing cloud solutions on AWS platforms or other cloud server such as Azure, Google Cloud
- Proficient in the use and administration of all versions of MS Windows Server
- Experience with Linux and Windows system administration and web server configuration and monitoring
- Solid programming skills in Python, Java, Perl
- Good understanding of software design principles and best practices
- Good knowledge of REST APIs
- Should have hands-on experience in any deployment orchestration tool (Jenkins, Urbancode, Bamboo, etc.)
- Experience with Docker, Kubernetes, and Helm charts
- Hands on experience in Ansible and Git repositories
- Knowledge in Maven / Gradle
- Azure, AWS, and GCP certifications are preferred.
- Troubleshooting and analytical skills.
- Good communication and collaboration skills.
About BootLabs
https://www.google.com/url?q=https://www.bootlabs.in/&sa=D&source=calendar&ust=1667803146567128&usg=AOvVaw1r5g0R_vYM07k6qpoNvvh6" target="_blank">https://www.bootlabs.in/
-We are a Boutique Tech Consulting partner, specializing in Cloud Native Solutions.
-We are obsessed with anything “CLOUD”. Our goal is to seamlessly automate the development lifecycle, and modernize infrastructure and its associated applications.
-With a product mindset, we enable start-ups and enterprises on the cloud
transformation, cloud migration, end-to-end automation and managed cloud services.
-We are eager to research, discover, automate, adapt, empower and deliver quality solutions on time.
-We are passionate about customer success. With the right blend of experience and exuberant youth in our in-house team, we have significantly impacted customers.
Technical Skills:
• Expertise in any one hyper scaler (AWS/AZURE/GCP), including basic services like networking,
data and workload management.
- AWS
Networking: VPC, VPC Peering, Transit Gateway, Route Tables, Security Groups, etc.
Data: RDS, DynamoDB, Elastic Search
Workload: EC2, EKS, Lambda, etc.
- Azure
Data: Azure MySQL, Azure MSSQL, etc.
Workload: AKS, Virtual Machines, Azure Functions
- GCP
Data: Cloud Storage, DataFlow, Cloud SQL, Firestore, BigTable, BigQuery
Workload: GKE, Instances, App Engine, Batch, etc.
• Experience in any one of the CI/CD tools (Gitlab/Github/Jenkins) including runner setup,
templating and configuration.
• Kubernetes experience or Ansible Experience (EKS/AKS/GKE), basics like pod, deployment,
networking, service mesh. Used any package manager like helm.
• Scripting experience (Bash/python), automation in pipelines when required, system service.
• Infrastructure automation (Terraform/pulumi/cloud formation), write modules, setup pipeline and version the code.
Optional:
• Experience in any programming language is not required but is appreciated.
• Good experience in GIT, SVN or any other code management tool is required.
• DevSecops tools like (Qualys/SonarQube/BlackDuck) for security scanning of artifacts, infrastructure and code.
• Observability tools (Opensource: Prometheus, Elasticsearch, Open Telemetry; Paid: Datadog,
24/7, etc)
We are looking for a DevOps Engineer for managing the interchange of data between the server and the users. Your primary responsibility will be the development of all server-side logic, definition, and maintenance of the central database, and ensuring high performance and responsiveness to request from the frontend. You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of frontend technologies is necessary as well.
What we are looking for
- Must have strong knowledge of Kubernetes and Helm3
- Should have previous experience in Dockerizing the applications.
- Should be able to automate manual tasks using Shell or Python
- Should have good working knowledge on AWS and GCP clouds
- Should have previous experience working on Bitbucket, Github, or any other VCS.
- Must be able to write Jenkins Pipelines and have working knowledge on GitOps and ArgoCD.
- Have hands-on experience in Proactive monitoring using tools like NewRelic, Prometheus, Grafana, Fluentbit, etc.
- Should have a good understanding of ELK Stack.
- Exposure on Jira, confluence, and Sprints.
What you will do:
- Mentor junior Devops engineers and improve the team’s bar
- Primary owner of tech best practices, tech processes, DevOps initiatives, and timelines
- Oversight of all server environments, from Dev through Production.
- Responsible for the automation and configuration management
- Provides stable environments for quality delivery
- Assist with day-to-day issue management.
- Take lead in containerising microservices
- Develop deployment strategies that allow DevOps engineers to successfully deploy code in any environment.
- Enables the automation of CI/CD
- Implement dashboard to monitors various
- 1-3 years of experience in DevOps
- Experience in setting up front end best practices
- Working in high growth startups
- Ownership and Be Proactive.
- Mentorship & upskilling mindset.
- systems and applications
what you’ll get- Health Benefits
- Innovation-driven culture
- Smart and fun team to work with
- Friends for life
Experienced with Azure DevOps, CI/CD and Jenkins.
Experience is needed in Kubernetes (AKS), Ansible, Terraform, Docker.
Good understanding in Azure Networking, Azure Application Gateway, and other Azure components.
Experienced Azure DevOps Engineer ready for a Senior role or already at a Senior level.
Demonstrable experience with the following technologies:
Microsoft Azure Platform As A Service (PaaS) product such as Azure SQL, AppServices, Logic Apps, Functions and other Serverless services.
Understanding of Microsoft Identity and Access Management products such including Azure AD or AD B2C.
Microsoft Azure Operational and Monitoring tools, including Azure Monitor, App Insights and Log Analytics.
Knowledge of PowerShell, GitHub, ARM templates, version controls/hotfix strategy and deployment automation.
Ability and desire to quickly pick up new technologies, languages, and tools
Excellent communication skills and Good team player.
Passionate about code quality and best practices is an absolute must
Must show evidence of your passion for technology and continuous learning
Role and responsibilities
- Expertise in AWS (Most typical Services),Docker & Kubernetes.
- Strong Scripting knowledge, Strong Devops Automation, Good at Linux
- Hands on with CI/CD (CircleCI preferred but any CI/CD tool will do). Strong Understanding of GitHub
- Strong understanding of AWS networking and. Strong with Security & Certificates.
Nice-to-have skills
- Involved in Product Engineering
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Azure, Azure AD, ADFS, Azure AD Connect, Microsoft Identity management |
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Azure, Architecture, solution designing, Subscription Design |










