- Ensure alignment with business requirements.
- Perform system configuration, Unit Testing, Data loading and user training.
- Work with Project Manager and Solution teams to achieve on time on budget projects.
- Ability to run HR (Employee Central Payroll/SAP HCM Payroll) business requirement workshop.
Requirements
- 8+ years in a ECP/SAP HCM Payroll Functional Consulting role
- Completed at-least 6 End to End ECP/ SAP HCM Payroll imfunctional consultant (Payroll implementation is a must)
- Ability to maintain accurate client communication.
- Self-driven, motivated and results oriented.
- Strong listening skills and solution orientated approach.

About Rolling Arrays
About
About Rolling Arrays
Rolling Arrays provides HR Software and HR System Implementation Services (SAP SuccessFactors) to customers in Singapore, Malaysia, Australia, UAE, Hong Kong. Rolling Arrays (RA) was featured as Singapore’s Top 75 fastest growing companies by the leading newspaper of Singapore - The Straits Times in 2021 where RA was ranked 48. Rolling Arrays has 2 line of business :
HR System Implementation :
In this line of business, RA has 100 Talented HR-Tech-Consultants spread across Singapore, Malaysia and India (Mumbai). Currently Rolling Arrays is regarded as number ONE mid-size firm in the South East Asian Market with a strong track record of 12 Years and more than 200 enterprise level SAP SuccessFactors projects till date. Based on market demand and established brand value, RA plans to double its consulting headcount by 2022.
HR Software :
Rolling Arrays has 3 HR Software products :
- Rhombus HRIS
- Reimburse (AI Enabled Travel & Expense Management Software for Enterprises)
- CICO (Intelligent Time Capture Machine, a software alternative to Physical Biometric Devices)
Rolling Arrays ventured into HR Software business in 2018 and has a dedicated team of 30 handpicked Software Engineers in Singapore and Mumbai. Based on strong market demand, RA plans to expand its Engineering team rapidly over the next 3 years.
Company video


Photos
Connect with the team
Similar jobs
About Us:
Tradelab Technologies Pvt Ltd is not for those seeking comfort—we are for those hungry to make a mark in the trading and fintech industry.
Key Responsibilities
CI/CD and Infrastructure Automation
- Design, implement, and maintain CI/CD pipelines to support fast and reliable releases
- Automate deployments using tools such as Terraform, Helm, and Kubernetes
- Improve build and release processes to support high-performance and low-latency trading applications
- Work efficiently with Linux/Unix environments
Cloud and On-Prem Infrastructure Management
- Deploy, manage, and optimize infrastructure on AWS, GCP, and on-premises environments
- Ensure system reliability, scalability, and high availability
- Implement Infrastructure as Code (IaC) to standardize and streamline deployments
Performance Monitoring and Optimization
- Monitor system performance and latency using Prometheus, Grafana, and ELK stack
- Implement proactive alerting and fault detection to ensure system stability
- Troubleshoot and optimize system components for maximum efficiency
Security and Compliance
- Apply DevSecOps principles to ensure secure deployment and access management
- Maintain compliance with financial industry regulations such as SEBI
- Conduct vulnerability assessments and maintain logging and audit controls
Required Skills and Qualifications
- 2+ years of experience as a DevOps Engineer in a software or trading environment
- Strong expertise in CI/CD tools (Jenkins, GitLab CI/CD, ArgoCD)
- Proficiency in cloud platforms such as AWS and GCP
- Hands-on experience with Docker and Kubernetes
- Experience with Terraform or CloudFormation for IaC
- Strong Linux administration and networking fundamentals (TCP/IP, DNS, firewalls)
- Familiarity with Prometheus, Grafana, and ELK stack
- Proficiency in scripting using Python, Bash, or Go
- Solid understanding of security best practices including IAM, encryption, and network policies
Good to Have (Optional)
- Experience with low-latency trading infrastructure or real-time market data systems
- Knowledge of high-frequency trading environments
- Exposure to FIX protocol, FPGA, or network optimization techniques
- Familiarity with Redis or Nginx for real-time data handling
Why Join Us?
- Work with a team that expects and delivers excellence.
- A culture where risk-taking is rewarded, and complacency is not.
- Limitless opportunities for growth—if you can handle the pace.
- A place where learning is currency, and outperformance is the only metric that matters.
- The opportunity to build systems that move markets, execute trades in microseconds, and redefine fintech.
This isn’t just a job—it’s a proving ground. Ready to take the leap? Apply now.
Job Title: DevOps Engineer
Location: Mumbai
Experience: 2–4 Years
Department: Technology
About InCred
InCred is a new-age financial services group leveraging technology and data science to make lending quick, simple, and hassle-free. Our mission is to empower individuals and businesses by providing easy access to financial services while upholding integrity, innovation, and customer-centricity. We operate across personal loans, education loans, SME financing, and wealth management, driving financial inclusion and socio-economic progress. [incred.com], [canvasbusi...smodel.com]
Role Overview
As a DevOps Engineer, you will play a key role in automating, scaling, and maintaining our cloud infrastructure and CI/CD pipelines. You will collaborate with development, QA, and operations teams to ensure high availability, security, and performance of our systems that power millions of transactions.
Key Responsibilities
- Cloud Infrastructure Management: Deploy, monitor, and optimize infrastructure on AWS (EC2, EKS, S3, VPC, IAM, RDS, Route53) or similar platforms.
- CI/CD Automation: Build and maintain pipelines using tools like Jenkins, GitLab CI, or similar.
- Containerization & Orchestration: Manage Docker and Kubernetes clusters for scalable deployments.
- Infrastructure as Code: Implement and maintain IaC using Terraform or equivalent tools.
- Monitoring & Logging: Set up and manage tools like Prometheus, Grafana, ELK stack for proactive monitoring.
- Security & Compliance: Ensure systems adhere to security best practices and regulatory requirements.
- Performance Optimization: Troubleshoot and optimize system performance, network configurations, and application deployments.
- Collaboration: Work closely with developers and QA teams to streamline release cycles and improve deployment efficiency. [nexthire.breezy.hr], [nexthire.breezy.hr]
Required Skills
- 2–4 years of hands-on experience in DevOps roles.
- Strong knowledge of Linux administration and shell scripting (Bash/Python).
- Experience with AWS services and cloud architecture.
- Proficiency in CI/CD tools (Jenkins, GitLab CI) and version control systems (Git).
- Familiarity with Docker, Kubernetes, and container orchestration.
- Knowledge of Terraform or similar IaC tools.
- Understanding of networking, security, and performance tuning.
- Exposure to monitoring tools (Prometheus, Grafana) and log management.
Preferred Qualifications
- Experience in financial services or fintech environments.
- Knowledge of microservices architecture and enterprise-grade SaaS setups.
- Familiarity with compliance standards in BFSI (Banking & Financial Services Industry).
Why Join InCred?
- Culture: High-performance, ownership-driven, and innovation-focused environment.
- Growth: Opportunities to work on cutting-edge tech and scale systems for millions of users.
- Rewards: Competitive compensation, ESOPs, and performance-based incentives.
- Impact: Be part of a mission-driven organization transforming India’s credit landscape.

AI & ML (45 Days – Live Hands‑On)
Program Fee: ₹25,000
Duration: 45 Days
Mode: Hybrid (Online Sessions + Live Lab Access)
Eligibility: Freshers, Final‑Year Students, and Career Switchers
About the Internship
This intensive 45‑day internship program is designed for freshers who want to build strong, industry‑relevant skills in Cloud Infrastructure, Cybersecurity, and AI/ML model development. The program offers live production hands‑on training, allowing interns to work on real-world architectures, security workflows, and AI/ML deployments.
Participants will receive end‑to‑end exposure to modern cloud platforms, DevOps practices, security operations, and machine learning deployment, making them job‑ready for roles like:
- Cloud/Infra Engineer
- DevOps Engineer
- Security Analyst
- AI/ML Engineer
- Site Reliability Engineer (SRE)
Key Highlights
- 45 days of practical, mentor-led training
- Live production-style projects and deployments
- Hands‑on experience with:
- AWS / Azure Cloud
- Terraform, CI/CD, Docker, Kubernetes
- Security Hardening & IAM
- Python ML pipelines & model deployment
- Architect & deploy real systems using best practices
- Build portfolio-ready projects
- Receive an industry-recognized Internship Certificate
What You Will Learn
1️⃣ Cloud Infrastructure & DevOps
- Cloud fundamentals (AWS/Azure/GCP)
- Linux administration & scripting
- VPC, Subnets, Routing, NAT, Firewalls
- EC2 provisioning & autoscaling
- Load balancing & High Availability
- Terraform for Infrastructure as Code
- CI/CD pipelines using Jenkins / GitHub Actions
- Docker containerization & Kubernetes basics
2️⃣ Cybersecurity & Cloud Security
- IAM roles, policies, access control
- Server security & hardening
- SSL/TLS, encryption, key management
- Secure VPC & subnet design
- Threat detection & logging
- Secrets management
- Network segmentation & firewall best practices
3️⃣ AI & Machine Learning
- Python for ML
- Supervised and unsupervised algorithms
- Data preprocessing & model training
- Model evaluation & optimization
- Build ML inference APIs using FastAPI/Flask
- Containerize and deploy ML models to cloud
- Integrate monitoring for ML workflows
✅ Live Hands‑On Projects
Interns will work on real-world, production-grade projects such as:
- Deploy a secure 3‑tier web application on cloud
- Automate infra provisioning using Terraform
- Build CI/CD pipelines for automated deployments
- Harden servers & configure security groups, IAM
- Develop and deploy an ML model as a cloud API
- Create monitoring dashboards with Prometheus/Grafana
- End-to-end system deployment with logging and alerting
Each intern will complete a Capstone Project and present it during the final evaluation.
✅ Internship Deliverables
- Internship Completion Certificate
- 3+ Production‑level projects
- GitHub portfolio with all code and deployments
- Cloud & ML documentation
- Resume enhancement and guidance
- Career mentoring + interview preparation
✅ Who Should Apply
This internship is ideal for:
- Fresh graduates
- Final‑year engineering or IT students
- BSc, BCA, MCA, B.Tech learners
- Professionals switching careers to Cloud/DevOps/AI
- Anyone seeking hands‑on, real‑time industry experience
✅ Program Fee
₹25,000/- (includes training, labs, live‑project access, certificate, and mentorship)
✅ Certificate Provided
All participants will receive a verified Internship Certificate, including:
- Candidate Name
- Internship Duration & Dates
- Skills Covered
- Project Evaluation Score
- Authorized Signatory & Company Seal
We are looking for candidates that have experience in development and have performed CI/CD based projects. Should have a good hands-on Jenkins Master-Slave architecture, used AWS native services like CodeCommit, CodeBuild, CodeDeploy and CodePipeline. Should have experience in setting up cross platform CI/CD pipelines which can be across different cloud platforms or on-premise and cloud platform.
Job Description:
- Hands on with AWS (Amazon Web Services) Cloud with DevOps services and CloudFormation.
- Experience interacting with customer.
- Excellent communication.
- Hands-on in creating and managing Jenkins job, Groovy scripting.
- Experience in setting up Cloud Agnostic and Cloud Native CI/CD Pipelines.
- Experience in Maven.
- Experience in scripting languages like Bash, Powershell, Python.
- Experience in automation tools like Terraform, Ansible, Chef, Puppet.
- Excellent troubleshooting skills.
- Experience in Docker and Kuberneties with creating docker files.
- Hands on with version control systems like GitHub, Gitlab, TFS, BitBucket, etc.
About GradRight
Our vision is to be the world’s leading Ed-Fin Tech company dedicated to making higher education accessible and affordable to all. Our mission is to drive transparency and accountability in the global higher education sector and create significant impact using the power of technology, data science and collaboration.
GradRight is the world’s first SaaS ecosystem that brings together students, universities and financial institutions in an integrated manner. It enables students to find and fund high return college education, universities to engage and select the best-fit students and banks to lend in an effective and efficient manner.
In the last three years, we have enabled students to get the best deals on a $ 2.8+ Billion of loan requests and facilitated disbursements of more than $ 350+ Million in loans. GradRight won the HSBC Fintech Innovation Challenge supported by the Ministry of Electronics & IT, Government of India & was among the top 7 global finalists in The PIEoneer awards, UK.
GradRight’s team possesses extensive domestic and international experience in the launch and scale-up of premier higher education institutions. It is led by alumni of IIT Delhi, BITS Pilani, IIT Roorkee, ISB Hyderabad and University of Pennsylvania. GradRight is a Delaware, USA registered company with a wholly owned subsidiary in India.
About the Role
We are looking for a passionate DevOps Engineer with hands-on experience in AWS cloud infrastructure, containerization, and orchestration. The ideal candidate will be responsible for building, automating, and maintaining scalable cloud solutions, ensuring smooth CI/CD pipelines, and supporting development and operations teams.
Core Responsibilities
Design, implement, and manage scalable, secure, and highly available infrastructure on AWS.
Build and maintain CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or GitHub Actions.
Containerize applications using Docker and manage deployments with Kubernetes (EKS, self-managed, or other distributions).
Monitor system performance, availability, and security using tools like CloudWatch, Prometheus, Grafana, ELK/EFK stack.
Collaborate with development teams to optimize application performance and deployment processes.
Required Skills & Experience
3–4 years of professional experience as a DevOps Engineer or similar role.
Strong expertise in AWS services (EC2, S3, RDS, Lambda, VPC, IAM, CloudWatch, EKS, etc.).
Hands-on experience with Docker and Kubernetes (EKS or self-hosted clusters).
Proficiency in CI/CD pipeline design and automation.
Experience with Infrastructure as Code (Terraform / AWS CloudFormation).
Solid understanding of Linux/Unix systems and shell scripting.
Knowledge of monitoring, logging, and alerting tools.
Familiarity with networking concepts (DNS, Load Balancing, Security Groups, Firewalls).
Basic programming/scripting experience in Python, Bash, or Go.
Nice to Have
Exposure to microservices architecture and service mesh (Istio/Linkerd).
Knowledge of serverless (AWS Lambda, API Gateway).
Title: Azure Cloud Developer/Engineer
Exp: 5+ yrs
Location: T-Hub, Hyderabad
Work from office (5 days/week)
Interview rounds: 2-3
Excellent comm skills
Immediate Joiner
Job Description
Position Overview:
We are seeking a highly skilled Azure Cloud Developer/Engineer with experience in designing, developing, and managing cloud infrastructure solutions. The ideal candidate should have a strong background in Azure infrastructure deployment using Terraform,Kubernetes (AKS) with advanced networking, and Helm Charts for application management.Experience with AWS is a plus. This role requires hands-on expertise in deploying scalable, secure,and highly available cloud solutions with strong networking capabilities.
Key Responsibilities:
- Deploy and manage Azure infrastructure using Terraform through CI/CD pipelines.
- Design, deploy, and manage Azure Kubernetes Service (AKS) with advanced networking features, including on-premise connectivity.
- Create and manage Helm Charts, ensuring best practices for configuration, templating, and application lifecycle management.
- Collaborate with development, operations, and security teams to ensure optimal cloud infrastructure architecture.
- Implement high-level networking solutions including Azure Private Link, VNET Peering, ExpressRoute, Application Gateway, and Web Application Firewall (WAF).
- Monitor and optimize cloud environments for performance, cost, scalability, and security using tools like Azure Cost Management, Prometheus, Grafana, and Azure Monitor.
- Develop CI/CD pipelines for automated deployments using Azure DevOps, GitHub Actions, or Jenkins, integrating Terraform for infrastructure automation.
- Implement security best practices, including Azure Security Center, Azure Policy, and Zero Trust Architecture.
- Troubleshoot and resolve issues in the cloud environment using Azure Service Health, Log Analytics, and Azure Sentinel.
- Ensure compliance with industry standards (e.g., CIS, NIST, ISO 27001) and organizational security policies.
- Work with Azure Key Vault for secrets and certificate management.
- Explore multi-cloud strategies, integrating AWS services where necessary.
Key Skills Required:
- Azure Cloud Infrastructure Deployment: Expertise in provisioning and managing Azure resources using Terraform within CI/CD pipelines.
- Kubernetes (AKS) with Advanced Networking: Experience in designing AKS clusters with private networking, hybrid connectivity (ExpressRoute, VPN), and security best practices.
- Infrastructure as Code (Terraform, Azure Bicep): Deep understanding of defining and maintaining cloud infrastructure through code.
- Helm Charts: Strong expertise in creating, deploying, and managing Helm-based Kubernetes application deployments.
- Networking & Security: In-depth knowledge of VNET Peering, Private Link, ExpressRoute,Application Gateway, WAF, and hybrid networking.
- CI/CD Pipelines: Experience with building and managing Azure DevOps, GitHub Actions, or Jenkins pipelines for infrastructure and application deployment.
- Monitoring & Logging: Experience with Prometheus, Grafana, Azure Monitor, Log Analytics,and Azure Sentinel.
- Scripting & Automation: Proficiency in Bash, PowerShell, or Python.
- Cost Optimization (FinOps): Strong knowledge of Azure Cost Management and cloud financial governance.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- 5+ years of experience in cloud engineering, preferably with Azure-focused infrastructure deployment and Kubernetes networking.
- Strong understanding of containerization, orchestration, and microservices architecture.
Certifications (Preferred):
Required:
- Microsoft Certified: Azure Solutions Architect Expert
- Microsoft Certified: Azure DevOps Engineer Expert
Nice to Have (AWS Experience):
- AWS Certified Solutions Architect – Associate or Professional
- AWS Certified DevOps Engineer – Professional
Nice to Have Skills:
- Experience with multi-cloud environments (Azure & AWS).
- Familiarity with container security tools (Aqua Security, Prisma Cloud).
- Experience with GitOps methodologies using tools like ArgoCD or Flux.
- Understanding of serverless computing and event-driven architectures (Azure Functions, Event Grid, Logic Apps).
Benefits
Why Join Us?
- Competitive salary with performance-based incentives.
- Opportunities for professional certifications (e.g., AWS, Kubernetes, Terraform).
- Access to training programs, workshops, and learning resources.
- Comprehensive health insurance coverage for employees and their families.
- Wellness programs and mental health support.
- Hands-on experience with large-scale, innovative cloud solutions.
- Opportunities to work with modern tools and technologies.
- Inclusive, supportive, and team-oriented environment.
- Opportunities to collaborate with global clients and cross-functional teams.
- Regular performance reviews with rewards for outstanding contributions.
- Employee appreciation events and programs.
- 2+ years work experience in a DevOps or similar role
- Knowledge of OO programming and concepts (Java, C++, C#, Python)
- A drive towards automating repetitive tasks (e.g., scripting via Bash, Python, etc)
- Fluency in one or more scripting languages such as Python or Ruby.
- Familiarity with Microservice-based architectures
- Practical experience with Docker containerization and clustering (Kubernetes/ECS)
- In-depth, hands-on experience with Linux, networking, server, and cloud architectures.
- Experience with CI/CD tools Azure DevOps, AWS cloud formation, Lamda functions, Jenkins, and Ansible
- Experience with AWS, Azure, or another cloud PaaS provider.
- Solid understanding of configuration, deployment, management, and maintenance of large cloud-hosted systems; including auto-scaling, monitoring, performance tuning, troubleshooting, and disaster recovery
- Proficiency with source control, continuous integration, and testing pipelines
- Effective communication skills
Job Responsibilities:
- Deploy and maintain critical applications on cloud-native microservices architecture.
- Implement automation, effective monitoring, and infrastructure-as-code.
- Deploy and maintain CI/CD pipelines across multiple environments.
- Streamline the software development lifecycle by identifying pain points and productivity barriers and determining ways to resolve them.
- Analyze how customers are using the platform and help drive continuous improvement.
- Support and work alongside a cross-functional engineering team on the latest technologies.
- Iterate on best practices to increase the quality & velocity of deployments.
- Sustain and improve the process of knowledge sharing throughout the engineering team
- Identification and prioritization of technical debt that risks instability or creates wasteful operational toil.
- Own daily operational goals with the team.
Srijan Technologies is hiring for the DevOps Lead position- Cloud Team with a permanent WFH option.
Immediate Joiners or candidates with 30 days notice period are preferred.
Requirements:-
- Minimum 4-6 Years experience in DevOps Release Engineering.
- Expert-level knowledge of Git.
- Must have great command over Kubernetes
- Certified Kubernetes Administrator
- Expert-level knowledge of Shell Scripting & Jenkins so as to maintain continuous integration/deployment infrastructure.
- Expert level of knowledge in Docker.
- Expert level of Knowledge in configuration management and provisioning toolchain; At least one of Ansible / Chef / Puppet.
- Basic level of web development experience and setup: Apache, Nginx, MySQL
- Basic level of familiarity with Agile/Scrum process and JIRA.
- Expert level of Knowledge in AWS Cloud Services.
Role
We are looking for an experienced DevOps engineer that will help our team establish DevOps practice. You will work closely with the technical lead to identify and establish DevOps practices in the company.
You will also help us build scalable, efficient cloud infrastructure. You’ll implement monitoring for automated system health checks. Lastly, you’ll build our CI pipeline, and train and guide the team in DevOps practices.
This would be a hybrid role and the person would be expected to also do some application level programming in their downtime.
Responsibilities
- Deployment, automation, management, and maintenance of production systems.
- Ensuring availability, performance, security, and scalability of production systems.
- Evaluation of new technology alternatives and vendor products.
- System troubleshooting and problem resolution across various application domains and platforms.
- Providing recommendations for architecture and process improvements.
- Definition and deployment of systems for metrics, logging, and monitoring on AWS platform.
- Manage the establishment and configuration of SaaS infrastructure in an agile way by storing infrastructure as code and employing automated configuration management tools with a goal to be able to re-provision environments at any point in time.
- Be accountable for proper backup and disaster recovery procedures.
- Drive operational cost reductions through service optimizations and demand based auto scaling.
- Have on call responsibilities.
- Perform root cause analysis for production errors
- Uses open source technologies and tools to accomplish specific use cases encountered within the project.
- Uses coding languages or scripting methodologies to solve a problem with a custom workflow.
Requirements
- Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
- Prior experience as a software developer in a couple of high level programming languages.
- Extensive experience in any Javascript based framework since we will be deploying services to NodeJS on AWS Lambda (Serverless)
- Extensive experience with web servers such as Nginx/Apache
- Strong Linux system administration background.
- Ability to present and communicate the architecture in a visual form.
- Strong knowledge of AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, NAT gateway, DynamoDB)
- Experience maintaining and deploying highly-available, fault-tolerant systems at scale (~ 1 Lakh users a day)
- A drive towards automating repetitive tasks (e.g. scripting via Bash, Python, Ruby, etc)
- Expertise with Git
- Experience implementing CI/CD (e.g. Jenkins, TravisCI)
- Strong experience with databases such as MySQL, NoSQL, Elasticsearch, Redis and/or Mongo.
- Stellar troubleshooting skills with the ability to spot issues before they become problems.
- Current with industry trends, IT ops and industry best practices, and able to identify the ones we should implement.
- Time and project management skills, with the capability to prioritize and multitask as needed.













