Business Analyst

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines for backend, frontend, and mobile applications.
• Manage cloud infrastructure using AWS (EC2, Lambda, S3, VPC, RDS, CloudWatch, ECS/EKS).
• Configure and maintain Docker containers and/or Kubernetes clusters.
• Implement and maintain Infrastructure as Code (IaC) using Terraform / CloudFormation.
• Automate build, deployment, and monitoring processes.
• Manage code repositories using Git/GitHub/GitLab, enforce branching strategies.
• Implement monitoring and alerting using tools like Prometheus, Grafana, CloudWatch, ELK, Splunk.
• Ensure system scalability, reliability, and security.
• Troubleshoot production issues and perform root-cause analysis.
• Collaborate with engineering teams to improve deployment and development workflows.
• Optimize infrastructure costs and improve performance.

Required Skills & Qualifications

• 3+ years of experience in DevOps, SRE, or Cloud Engineering.
• Strong hands-on knowledge of AWS cloud services.
• Experience with Docker, containers, and orchestrators (ECS, EKS, Kubernetes).
• Strong understanding of CI/CD tools: GitHub Actions, Jenkins, GitLab CI, or AWS CodePipeline.
• Experience with Linux administration and shell scripting.
• Strong understanding of Networking, VPC, DNS, Load Balancers, Security Groups.
• Experience with monitoring/logging tools: CloudWatch, ELK, Prometheus, Grafana.
• Experience with Terraform or CloudFormation (IaC).
• Good understanding of Node.js or similar application deployments.
• Knowledge of NGINX/Apache and load balancing concepts.
• Strong problem-solving and communication skills.

Preferred/Good to Have

• Experience with Kubernetes (EKS).
• Experience with Serverless architectures (Lambda).
• Experience with Redis, MongoDB, RDS.
• Certification in AWS Solutions Architect / DevOps Engineer.
• Experience with security best practices, IAM policies, and DevSecOps.
• Understanding of cost optimization and cloud cost management.

Job Description – Full Stack Developer (React + Node.js)

Experience: 5–8 Years

Location: Pune

Work Mode: WFO

Employment Type: Full-time

About the Role

We are looking for an experienced Full Stack Developer with strong hands-on expertise in React and Node.js to join our engineering team. The ideal candidate should have solid experience building scalable applications, working with production systems, and collaborating in high-performance tech environments.

Key Responsibilities

• Design, develop, and maintain scalable full-stack applications using React and Node.js.
• Collaborate with cross-functional teams to define, design, and deliver new features.
• Write clean, maintainable, and efficient code following OOP/FP and SOLID principles.
• Work with relational databases such as PostgreSQL or MySQL.
• Deploy and manage applications in cloud environments (preferably GCP or AWS).
• Optimize application performance, troubleshoot issues, and ensure high availability in production systems.
• Utilize containerization tools like Docker for efficient development and deployment workflows.
• Integrate third-party services and APIs, including AI APIs and tools.
• Contribute to improving development processes, documentation, and best practices.

Required Skills

• Strong experience with React.js (frontend).
• Solid hands-on experience with Node.js (backend).
• Good understanding of relational databases: PostgreSQL / MySQL.
• Experience working in production environments and debugging live systems.
• Strong understanding of OOP or Functional Programming, and clean coding standards.
• Knowledge of Docker or other containerization tools.
• Experience with cloud platforms (GCP or AWS).
• Excellent written and verbal communication skills.

Good to Have

• Experience with Golang or Elixir.
• Familiarity with Kubernetes, RabbitMQ, Redis, etc.
• Contributions to open-source projects.
• Previous experience working with AI APIs or machine learning tools.

Exp: 4 to 8 Years

CTC: up to 40 LPA

Mandatory Criteria

• 5–7 years of hands-on experience in building and deploying AI solutions, ideally in fintech or financial services.
• Strong coding skills in Python and familiarity with libraries like TensorFlow, PyTorch, scikit-learn, XGBoost, etc.
• Experience with NLP, time series forecasting, anomaly detection, or graph ML relevant to fintech applications.
• Solid understanding of MLOps concepts – model versioning, deployment, monitoring.
• Experience working with cloud platforms (AWS/GCP/Azure) and ML services (e.g., SageMaker, Vertex AI).
• Familiarity with Docker, Kubernetes, or other containerization tools for model deployment is a plus.
• Comfortable working with large-scale structured and unstructured datasets. Experience with LLMs or generative AI for fintech-specific use cases.
• Exposure to RegTech, risk modeling, or algorithmic trading.
• Publications, GitHub contributions, or Kaggle competitions.
• Familiarity with SQL/NoSQL databases and data pipelines (e.g., Airflow, Spark, etc.).

If interested kindly share your updated resume on 82008 31681

1. High school diploma or equivalent; a Bachelor's degree in Logistics, Supply Chain Management, or related field is advantageous.
2. Proficiency in warehouse management software and familiarity with inventory control systems.
3. Strong organizational and multitasking abilities with attention to detail.
4. Effective communication skills and the ability to work in a team environment.
5. Knowledge of health and safety regulations in a warehouse setting.
6. Problem-solving skills and the ability to handle unexpected situations efficiently.

DevOps Engineer

Job Description:

The position requires a broad set of technical and interpersonal skills that includes deployment technologies, monitoring and scripting from networking to infrastructure. Well versed in troubleshooting Prod issues and should be able to drive till the RCA.

Skills:

• Manage VMs across multiple datacenters and AWS to support dev/test and production workloads.
• Strong hands-on over Ansible is preferred
• Strong knowledge and hands-on experience in Kubernetes Architecture and administration.
• Should have core knowledge in Linux and System operations.
• Proactively and reactively resolve incidents as escalated from monitoring solutions and end users.
• Conduct and automate audits for network and systems infrastructure.
• Do software deployments, per documented processes, with no impact to customers.
• Follow existing devops processes while having flexibility to create and tweak processes to gain efficiency.
• Troubleshoot connectivity problems across network, systems or applications.
• Follow security guidelines, both policy and technical to protect our customers.
• Ability to automate recurring tasks to increase velocity and quality.
• Should have worked on any one of the Database (Postgres/Mongo/Cockroach/Cassandra)
• Should have knowledge and hands-on experience in managing ELK clusters.
• Scripting Knowledge in Shell/Python is added advantage.
• Hands-on Experience over K8s based Microservice Architecture is added advantage.