Job Summary
Cloud Production Support Engineer(PSE) is responsible for fulfilling the day-to-day infrastructure and service requests from the application teams across AWS, CI/CD solutions and observability tools. You will be expected to handle production issues in collaboration with the cloud Infrastructure and application teams.
Responsibilities and Duties
- Troubleshoot production Issues: When technical issues with the cloud infrastructure components arise, PSE must act quickly to analyse the available data and find the root cause of the problem. They may then develop a solution or escalate the problem to other engineering team members while providing stakeholders with progress updates.
- Infrastructure provisioning and modification: Application teams may request to create new infrastructure or modify the existing ones in AWS based on their requirements via the ticketing tool. PSE should ensure that the required data/info is available on the ticket and provide a resolution based on the given SLA.
- Alert Management: Alerts from the observability tools will be received on multiple channels according to the notification settings. PSEs are expected to acknowledge the alerts, troubleshoot the issue, close the alert based on the given SLA, or escalate to the cloud infra/DevOps team for further diagnosis.
- Onboarding, Off-boarding and access management: Whenever an employee joins or leaves the organization, you will receive an onboarding or offboarding request.
- Prepare Technical Documentation: PSEs must prepare documentation when logging product issues, as they must note all details, including their observations, diagnoses, and action steps. Other everyday tasks include weekly reports summarising production performance, upgrade release notes, and troubleshooting guides.
- Product Improvements: Since PSEs have good exposure to the product issues, they should work closely with the PMs+EMs, pass the feedback on the product, and get the improvements/fixes included in the product roadmap.
- Adherence to SLA and timelines: PSEs should always adhere to the timelines shared with other teams for closure of fixes and deliver outcomes as per the SLA guidance agreed with business teams
- Reporting: Report & track weekly regarding SLA metrics, tickets being worked and closed by PSEs/transferred tickets. Identify and devise how productivity can be captured at the individual level and report the same monthly.
Qualifications and Skills
- Degree in Computer Science/Information Technology.
- Two years or more experience in Cloud and system administration.
- Experience troubleshooting in complex environments using monitoring tools.
- Demonstrated experience with containerisation technologies (Docker, Kubernetes, etc.)
- Hands-on experience with the most common AWS services.

About Porter.in
About
Company Overview:
At Porter, we are passionate about improving productivity. We want to help businesses, large and small, optimize their last-mile operations and empower them to unleash the growth of their core functions. Last-mile delivery logistics is one of the biggest and fastest-growing sectors of the economy with a market cap upwards of 50 billion USD and a growth rate exceeding 15% CAGR.
Porter is the fastest-growing leader in this sector with operations in 14 major cities, a fleet size exceeding 1L registered and 50k active driver-partners and a customer base with 3.5M being monthly active. Our industry-best technology platform has raised over 50 million USD from investors including Sequoia Capital, Kae Capital, Mahindra Group and LGT Aspada. We are addressing a massive problem and going after a huge market. We’re trying to create a household name in transportation and our ambition is to disrupt all facets of last-mile logistics including warehousing and LTL transportation. At Porter, we’re here to do the best work of our lives. If you want to do the same and love the challenges and opportunities of a fast-paced work environment, then we believe Porter is the right place for you.
Company URL: https://porter.in
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Job Details
- Job Title: Lead II - Software Engineering- AI, NLP, Python, Data science
- Industry: Technology
- Domain - Information technology (IT)
- Experience Required: 7-9 years
- Employment Type: Full Time
- Job Location: Bangalore
- CTC Range: Best in Industry
Job Description:
Role Proficiency:
Act creatively to develop applications by selecting appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions. Account for others' developmental activities; assisting Project Manager in day-to-day project execution.
Additional Comments:
Mandatory Skills Data Science Skill to Evaluate AI, Gen AI, RAG, Data Science
Experience 8 to 10 Years
Location Bengaluru
Job Description
Job Title AI Engineer Mandatory Skills Artificial Intelligence, Natural Language Processing, python, data science Position AI Engineer – LLM & RAG Specialization Company Name: Sony India Software Centre About the role: We are seeking a highly skilled AI Engineer with 8-10 years of experience to join our innovation-driven team. This role focuses on the design, development, and deployment of advanced enterprise-scale Large Language Models (eLLM) and Retrieval Augmented Generation (RAG) solutions. You will work on end-to-end AI pipelines, from data processing to cloud deployment, delivering impactful solutions that enhance Sony’s products and services. Key Responsibilities: Design, implement, and optimize LLM-powered applications, ensuring high performance and scalability for enterprise use cases. Develop and maintain RAG pipelines, including vector database integration (e.g., Pinecone, Weaviate, FAISS) and embedding model optimization. Deploy, monitor, and maintain AI/ML models in production, ensuring reliability, security, and compliance. Collaborate with product, research, and engineering teams to integrate AI solutions into existing applications and workflows. Research and evaluate the latest LLM and AI advancements, recommending tools and architectures for continuous improvement. Preprocess, clean, and engineer features from large datasets to improve model accuracy and efficiency. Conduct code reviews and enforce AI/ML engineering best practices. Document architecture, pipelines, and results; present findings to both technical and business stakeholders. Job Description: 8-10 years of professional experience in AI/ML engineering, with at least 4+ years in LLM development and deployment. Proven expertise in RAG architectures, vector databases, and embedding models. Strong proficiency in Python; familiarity with Java, R, or other relevant languages is a plus. Experience with AI/ML frameworks (PyTorch, TensorFlow, etc.) and relevant deployment tools. Hands-on experience with cloud-based AI platforms such as AWS SageMaker, AWS Q Business, AWS Bedrock or Azure Machine Learning. Experience in designing, developing, and deploying Agentic AI systems, with a focus on creating autonomous agents that can reason, plan, and execute tasks to achieve specific goals. Understanding of security concepts in AI systems, including vulnerabilities and mitigation strategies. Solid knowledge of data processing, feature engineering, and working with large-scale datasets. Experience in designing and implementing AI-native applications and agentic workflows using the Model Context Protocol (MCP) is nice to have. Strong problem-solving skills, analytical thinking, and attention to detail. Excellent communication skills with the ability to explain complex AI concepts to diverse audiences. Day-to-day responsibilities: Design and deploy AI-driven solutions to address specific security challenges, such as threat detection, vulnerability prioritization, and security automation. Optimize LLM-based models for various security use cases, including chatbot development for security awareness or automated incident response. Implement and manage RAG pipelines for enhanced LLM performance. Integrate AI models with existing security tools, including Endpoint Detection and Response (EDR), Threat and Vulnerability Management (TVM) platforms, and Data Science/Analytics platforms. This will involve working with APIs and understanding data flows. Develop and implement metrics to evaluate the performance of AI models. Monitor deployed models for accuracy and performance and retrain as needed. Adhere to security best practices and ensure that all AI solutions are developed and deployed securely. Consider data privacy and compliance requirements. Work closely with other team members to understand security requirements and translate them into AI-driven solutions. Communicate effectively with stakeholders, including senior management, to present project updates and findings. Stay up to date with the latest advancements in AI/ML and security and identify opportunities to leverage new technologies to improve our security posture. Maintain thorough documentation of AI models, code, and processes. What We Offer Opportunity to work on cutting-edge LLM and RAG projects with global impact. A collaborative environment fostering innovation, research, and skill growth. Competitive salary, comprehensive benefits, and flexible work arrangements. The chance to shape AI-powered features in Sony’s next-generation products. Be able to function in an environment where the team is virtual and geographically dispersed
Education Qualification: Graduate
Skills: AI, NLP, Python, Data science
Must-Haves
Skills
AI, NLP, Python, Data science
NP: Immediate – 30 Days
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- Maintain GST-ready records (HSN/SAC, GST rates, party GSTIN details).
- Bank & cash book maintenance and bank reconciliation.
- Vendor/customer follow-ups for missing invoices, payments, and documents.
- Support monthly closing tasks: checking ledgers, outstanding reports.
Skills Required
trong Tally knowledge + basic GST understanding.
Excel basics (VLOOKUP optional).
Accuracy, consistency, and ability to handle daily volumes.
Design, develop, and maintain backend services using Java
Build scalable RESTful APIs and microservices
Work with Spring / Spring Boot frameworks
Implement business logic, data access layers, and integrations
Optimize application performance, scalability, and security
Write clean, testable, and maintainable code
Perform unit and integration testing
Participate in code reviews and technical discussions
Collaborate with frontend, DevOps, and QA teams
Troubleshoot and resolve produc
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Experience: 15+ years of experience in BFSI domain.
Location: Mumbai
Note- Candidate should be from IT product companies only.
Key Skills: Hands on BFSI Domain experience, Strong leadership Qualities, Excellent communication and presentation skills
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