UX Designer

Role: Mid–Senior Cloud Infrastructure Engineer

Type: Individual Contributor

Location: Baner, Pune

Experience: 4–9 years

About the Role

We are establishing a Mid–Senior Cloud Infrastructure Engineer CoE with a focus on cloud-native automation. As a Cloud Infrastructure Engineer, you will design, automate, and maintain AWS infrastructure using Terraform following IaC and platform engineering best practices.

Key Responsibilities

• Build, automate, and maintain AWS infrastructure using Terraform (remote state, modules, pipelines).
• Design secure, scalable AWS environments (VPC, EC2, IAM, ALB/NLB, S3, RDS, Lambda, ECS/EKS preferred).
• Create reusable Terraform modules for platform-wide standardization.
• Automate provisioning workflows for Linux and Windows environments.
• Integrate IaC into CI/CD (Jenkins/GitHub Actions/GitLab).
• Manage environment lifecycle: dev → test → stage → prod.
• Implement cost optimization, tagging strategies, and operational guardrails.
• Maintain infrastructure documentation and reusable patterns.
• Troubleshoot cloud deployments, networking, IAM policies, and automation issues.

Required Skills

• Strong hands-on experience with AWS services.
• Solid expertise with Terraform (workspaces, state mgmt, modules, CI/CD integration).
• Understanding of multi-tier architectures, networking, security groups, IAM.
• Familiarity with Linux/Windows system administration.
• Knowledge of scripting (Python/Bash/PowerShell).

Good to Have

• AWS Certified (SA / SysOps / DevOps — not mandatory).
• Experience with container orchestration (ECS/EKS).
• Experience with monitoring tools (CloudWatch, Grafana, Prometheus).

Soft Skills

• Strong analytical and troubleshooting capability.
• Ability to collaborate closely with DevOps/Platform teams.

NOTE: 2nd Technical round has to be taken F2F from Baner Office in Pune.

We are looking for a visionary and hands-on Head of Data Science and AI with at least 6 years of experience to lead our data strategy and analytics initiatives. In this pivotal role, you will take full ownership of the end-to-end technology stack, driving a data-analytics-driven business roadmap that delivers tangible ROI. You will not only guide high-level strategy but also remain hands-on in model design and deployment, ensuring our data capabilities directly empower executive decision-making.

If you are passionate about leveraging AI and Data to transform financial services, we invite you to lead our data transformation journey.

Key Responsibilities

Strategic Leadership & Roadmap

• End-to-End Tech Stack Ownership: Define, own, and evolve the complete data science and analytics technology stack to ensure scalability and performance.
• Business Roadmap & ROI: Develop and execute a data analytics-driven business roadmap, ensuring every initiative is aligned with organizational goals and delivers measurable Return on Investment (ROI).
• Executive Decision Support: Create and present high-impact executive decision packs, providing actionable insights that drive key business strategies.

Model Design & Deployment (Hands-on)

• Hands-on Development: Lead by example with hands-on involvement in AI modeling, machine learning model design, and algorithm development using Python.
• Deployment & Ops: Oversee and execute the deployment of models into production environments, ensuring reliability, scalability, and seamless integration with existing systems.
• Leverage expert-level knowledge of Google Cloud Agentic AI, Vertex AI and BigQuery to build advanced predictive models and data pipelines.
• Develop business dashboards for various sales channels and drive data driven decision making to improve sales and reduce costs. 

Governance & Quality

• Data Governance: Establish and enforce robust data governance frameworks, ensuring data accuracy, security, consistency, and compliance across the organization.
• Best Practices: Champion best practices in coding, testing, and documentation to build a world-class data engineering culture.

Collaboration & Innovation

• Work closely with Product, Engineering, and Business leadership to identify opportunities for AI/ML intervention.
• Stay ahead of industry trends in AI, Generative AI, and financial modeling to keep Bajaj Capital at the forefront of innovation.

Must-Have Skills & Experience

Experience:

• At least 7 years of industry experience in Data Science, Machine Learning, or a related field.
• Proven track record of applying AI and leading data science teams or initiatives that resulted in significant business impact.

Technical Proficiency:

• Core Languages: Proficiency in Python is mandatory, with strong capabilities in libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch.
• Cloud Data Stack: Expert-level command of Google Cloud Platform (GCP), specifically Agentic AI, Vertex AI and BigQuery.
• AI & Analytics Stack: Deep understanding of the modern AI and Data Analytics stack, including data warehousing, ETL/ELT pipelines, and MLOps.
• Visualization: PowerBI in combination with custom web/mobile applications.

Leadership & Soft Skills:

• Ability to translate complex technical concepts into clear business value for stakeholders.
• Strong ownership mindset with the ability to manage end-to-end project lifecycles.
• Experience in creating governance structures and executive-level reporting.

Good-to-Have / Plus

• Domain Expertise: Prior experience in the BFSI domain (Wealth Management, Insurance, Mutual Funds, or Fintech).
• Certifications: Google Professional Data Engineer or Google Professional Machine Learning Engineer certifications.
• Advanced AI: Experience with Generative AI (LLMs), RAG architectures, and real-time analytics.

Our client is a SaaS platform that integrates technologies including Artificial Intelligence, Machine Learning, Big Data Analytics, and Automation to offer brands a comprehensive Customer Experience Management Suite. Our powerful analytics algorithms have empowered established brands to solidify their presence in the digital realm and revolutionise their customer experience endeavours. 

Position Description: We're seeking a proactive individual to spearhead lead generation and client engagement efforts. The role entails identifying and connecting with key decision-makers to showcase how our product addresses their business needs.

Key Responsibilities:

- Address client engagement and retention challenges using our solutions.

- Utilize diverse channels including phone, email, research, and social media to generate new business.

- Identify and pursue potential buyers, both domestically and internationally.

- Determine budget and timeline by understanding key buying influencers.

- Foster prospect relationships through effective communication and follow-ups.

- Collaborate with Business Development Managers to expand the sales pipeline and meet revenue goals.

- Work with the Marketing team to drive inbound leads.

- Manage CRM data for accuracy and documentation.

- Prepare and analyze sales pipeline reports for effective tracking.

Requirements

- Education: Bachelor's degree in Business, Marketing, or related field.

- Experience: Proven sales or business development experience, preferably in B2B SaaS.

- Communication Skills: Excellent verbal and written communication to engage potential clients.

- Research Skills: Ability to identify prospects through various channels.

- Customer Focus: Understanding of customer needs to position our solutions effectively.

- Initiative: Proactive approach to lead follow-up and new business opportunities.

- Analytical Skills: Proficiency in preparing and analyzing sales reports.

Benefits

- Medical Coverage: Comprehensive healthcare for you and your family.

- Dynamic Work Environment: Thrive in an innovative workplace with growth opportunities.

- Learning and Upskilling: Access to professional development resources.

- Collaborative Culture: Join a team that values communication and teamwork.

Technical Skills needed:

• WebSphere Developers with Sr experience.
• Strong knowledge of WebShere Commerce v8.x (preferred) application development
• Strong knowledge of web application development using enterprise Java technologies and frameworks
• Strong knowledge building WebSphere Commerce applications using Web Sphere Commerce Build and Deployment (WCBD) is preferred
• Experience with AWS hosted applications is preferred. Knowledge of working on EC2, ELB, RDS services preferred.
• Experience with Ant, Maven build scripts and Jenkins based CI/CD process
• Strong knowledge of Unix/Linux shell scripts
• Hands on experience with web service technologies including SOAP, REST, JCA, Jax-ws preferred
• Strong knowledge of specific Java technologies including JSP, JSTL, JDBC and JAXB is preferred
• Strong familiarity using SVN/GIT/BitBucket for source code management is preferred
• Strong knowledge of profiling techniques, memory management and performance tuning is preferred
• Experience tuning Websphere commerce Solr Indexing and Stage Prop Process highly desirable

Greetings for the Day!!!

Please find below the details of the position. 

• Experience working as a Salesforce developer.  
• Proven experience in developing Salesforce applications and interfaces. 
• Salesforce and/or full-stack development 
• Salesforce lightning is a must.
• Proven and strong development experience in APEX, Visualforce, REST, SOAP/WSDL, SQL and system interfaces.