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Job Description:

We are seeking a Cloud & AI Platform Engineer to design and operate AI-native infrastructure that supports large-scale machine learning, generative AI, and agentic AI systems. 

This role will focus on building secure, scalable, and automated multi-cloud platforms across AWS, Azure, GCP, and hybrid on-prem environments, enabling teams to deploy LLMs, AI agents, and data-driven applications reliably in production. 

You will work at the intersection of cloud engineering, MLOps, LLMOps, DevOps, and data infrastructure, helping build platforms that support RAG pipelines, vector search, AI model lifecycle management, and AI observability. 

Key Responsibilities

AI & Agentic Infrastructure 

• Design infrastructure to support agentic AI systems, autonomous agents, and multi-agent workflows. 
• Build scalable runtime environments for LLM orchestration frameworks. 
• Enable deployment of AI copilots, assistants, and autonomous decision systems. 

Common frameworks may include: 

• LangChain 
• LlamaIndex 
• AutoGPT 

LLMOps & AI Model Lifecycle 

Design and manage LLMOps pipelines for the full lifecycle of large language models: 

• Model deployment 
• Prompt management 
• Versioning 
• Evaluation and testing 
• Model monitoring 

Integrate with AI platforms such as: 

• Azure Machine Learning 
• Amazon SageMaker 
• Vertex AI 

Retrieval-Augmented Generation (RAG) Infrastructure 

Design and optimize RAG pipelines that integrate enterprise knowledge with LLMs. 

Responsibilities include: 

• Document ingestion pipelines 
• Embedding generation workflows 
• Knowledge indexing 
• Query orchestration 
• Retrieval optimization 
• Support scalable semantic search architectures. 

Vector Database & Knowledge Infrastructure 

Deploy and manage vector databases used for AI applications and semantic retrieval. 

Common technologies include: 

• Pinecone 
• Weaviate 
• Milvus 
• FAISS 

Responsibilities include: 

• Index optimization 
• Query latency tuning 
• Scalable embedding storage 
• Hybrid search architecture 

Multi-Cloud AI Infrastructure 

Design and maintain AI-ready infrastructure across: 

• Amazon Web Services 
• Microsoft Azure 
• Google Cloud Platform 

Key responsibilities include: 

• GPU infrastructure management 
• Distributed training environments 
• Hybrid cloud integrations with on-prem data centers 
• Infrastructure scaling for AI workloads 

Data Platforms & Integration 

• Support deployment and optimization of data lakes, data warehouses, and streaming platforms. 
• Work with data engineering teams to ensure secure and scalable data infrastructure. 

Cloud Architecture & Infrastructure 

• Design and implement scalable multi-cloud infrastructure across Azure, AWS, and Google Cloud. 
• Build hybrid cloud architectures integrating on-premise environments with cloud platforms. 
• Implement high availability, disaster recovery, and auto-scaling architectures for AI workloads. 

DevOps, Platform Engineering & Automation 

Build automated cloud infrastructure using modern DevOps practices. 

Tools may include: 

• Terraform 
• Docker 
• Kubernetes 
• GitHub Actions 

Responsibilities include: 

• Infrastructure as Code (IaC) 
• Automated deployments 
• CI/CD pipelines for AI models and services 
• Platform reliability and scalability 

AI Observability & Monitoring 

Implement observability frameworks to monitor AI systems in production. 

This includes: 

• Model performance monitoring 
• Prompt evaluation 
• Hallucination detection 
• Latency and throughput analysis 
• Cost monitoring for LLM usage 

Tools may include: 

• Arize AI 
• WhyLabs 
• Weights & Biases 

Security, Governance & Responsible AI 

Ensure AI systems follow strong governance and security practices. 

Responsibilities include: 

• Data privacy and compliance 
• Model governance frameworks 
• Secure model deployment 
• Monitoring model bias and drift 
• AI risk management 

Support enterprise frameworks for Responsible AI and AI compliance. 

Data & Security 

• Experience with data lake architectures, distributed storage, and ETL pipelines 
• Knowledge of data security, encryption, IAM, and compliance frameworks 
• Familiarity with AI governance and responsible AI practices 

Required Skills 

Cloud & Infrastructure 

• Strong experience in Azure (must have), AWS or GCP 
• Hybrid and multi-cloud architecture 
• GPU infrastructure management 

DevOps & Automation 

• Kubernetes 
• Docker 
• Terraform 
• CI/CD pipelines 

AI / ML Platforms 

• MLOps pipelines 
• Model deployment 
• Model monitoring 

AI Application Infrastructure 

• Vector databases 
• RAG pipelines 
• LLM orchestration frameworks 

Programming 

Experience in one or more languages: 

• Python 
• Go 
• Java 
• TypeScript 

Preferred Qualifications 

• Experience building AI copilots or autonomous agents 
• Knowledge of distributed model training - Knowledge of GPU infrastructure and distributed training 
• Familiarity with AI evaluation frameworks - Familiarity with model monitoring, drift detection, and AI observability 
• Experience building enterprise AI platforms 

Education & Experience 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 
• 4–8+ years experience in cloud infrastructure, DevOps, or platform engineering 
• Experience working in data-driven or AI-focused environments 

What Success Looks Like 

• Reliable ML model deployment pipelines - Reliable infrastructure for LLMs and AI agents, Scalable RAG knowledge platforms 
• Efficient multi-cloud infrastructure management - Fast deployment cycles for AI products 
• Secure and scalable AI-ready cloud platforms 
• Strong automation and governance across cloud and AI systems 

About the Role We are looking for a highly skilled and self-driven Senior Data Engineer to take full ownership of our database architecture and operations. This is a WFO role that blends high-level database development, database administration (DBA), and customer consultation.

You won't just be writing code in the background; you will be the primary voice for data best practices, helping our customers understand why we build things the way we do.

What You Will Do

• Database Development: Design, develop, and optimize complex T-SQL queries, stored procedures, views, and triggers.
• Database Management: Oversee database health, performance tuning, security, and backup strategies to ensure maximum uptime.
• Project Support: Act as the database subject matter expert (SME) for cross-functional project teams, ensuring data integrity and scalability in every release.
• Customer Consultation: Work directly with customers to understand their data needs. You will educate them on the "right way" to approach database solutions, guiding them away from quick fixes and toward long-term stability.
• Problem Solving: Proactively identify bottlenecks and resolve database issues before they impact the business.

Who You Are

• An Individual Thinker: You don't wait to be told what to do. You see a problem, you analyze it, and you fix it. You take full responsibility for your domain.
• A Great Communicator: You can explain complex database concepts to non-technical stakeholders with clarity, patience, and high energy.
• Customer-Obsessed: You bring a positive attitude to every interaction. You aren’t just delivering a file; you are delivering a solution that helps the customer succeed.
• Results-Oriented: You take pride in delivering top-notch work consistently. You care about the quality of your code and the stability of the systems you manage.

Requirements

• 3+ years of experience with Microsoft SQL Server (Development & Administration) or Postgres Or MySQL.
• Deep expertise in T-SQL and Schema design.
• Experience with performance tuning and query optimization.
• Strong understanding of database security and maintenance.
• Excellent verbal and written communication skills (English).

Role Overview

We are looking for a dynamic and result-oriented Business Development Executive to drive 

international and domestic sales through structured outreach, consultative selling, and 

value-based product demonstrations. The role involves lead generation, client engagement, 

online demos, and deal closure, with continuous collaboration with internal product and 

technical teams.

Key Responsibilities

• Conduct 30–60 inbound and outbound calls per day to prospects across domestic 

and international markets

• Generate qualified leads and schedule online meetings / product demonstrations

• Draft and send personalized sales emails and follow-ups based on client 

requirements

• Engage with decision-makers (Directors, Sales Heads, IT Heads, Commercial Teams) 

and close deals

• Create and deliver clear elevator pitches and product stories tailored to different 

markets

• Perform needs analysis and recommend suitable SANeForce solutions (SFA, CRM, eDetailing, Analytics, etc.)

• Maintain accurate records of leads, meetings, and pipeline updates in CRM

• Provide continuous market feedback to the product and technical teams on:

o Customer pain points

o Feature gaps

o Market-specific requirements

• Actively contribute to product roadmap discussions through collaborative decisionmaking

• Follow up consistently with prospects to move deals through the sales funnel

Required Skills

• Excellent communication and presentation skills

• Strong analytical and negotiation abilities

• Confidence in consultative and solution-based selling

• Ability to create compelling sales narratives and demos

• Strong follow-up discipline and closure mindset

• Comfortable selling to international markets via online meetings

We are looking for a Product Manager to lead the Zolvit 360 product. Zolvit 360 is a platform which leverages cutting-edge AI to help 10,000 Indian SMEs stay on top of compliances. Be it legal, accounting, tax or secretarial. As the Zolvit 360 PM, you will ensure Zolvit 360 is accurate, easy to use, and consistently engaging to drive monthly active users (MAU).

Key Responsibilities

1. Use Your Domain Expertise:

●    Apply your knowledge of Indian compliances to shape Zolvit 360’s features and workflows.

●    Spot opportunities for AI automation to make compliance filing simpler and faster.

●    Stay updated on regulatory changes and ensure Zolvit 360 evolves to meet the latest requirements.

2. Build a Great Product:

●    Own the product roadmap, ensuring every update adds value and solves real user problems.

●    Work with engineering, design, and other teams to deliver high-quality features, on time.

●    Listen to users through feedback and research to improve the product.

●    Track product performance using analytics tools to measure success and make adjustments as needed.

3. Deliver Business Value:

●    Create opportunities for cross-sell, so that users discover and purchase other compliance services

●    Collaborate with sales and compliance delivery teams to drive adoption.

What We’re Looking For

Preferred Qualifications:

●    Chartered Accountant (CA) with 2–3 years of product management experience

●    Alternatively, 2–3 years of product management experience in compliance-tech, with a strong understanding of the regulatory landscape.

Why Join Us?

●    Make a Difference: Leverage your expertise to build a product that blends compliance & AI to simplify life for Indian SMEs

●    Shape the Future: Lead one of Zolvit's flagship products, in a fast-growing market.

●    Grow with Us: Collaborate with a talented team while building cutting-edge AI & PM skills.

Position Summary

The GCP Senior Data Engineer is responsible for designing, building, optimizing, and maintaining high‑quality data pipelines and cloud‑native data platforms on Google Cloud Platform (GCP). This role partners closely with data analysts, data scientists, business teams, DevOps, and platform engineering to deliver secure, reliable, and scalable data solutions that support Trane Technologies’ digital strategy.

This position requires strong hands‑on engineering capabilities, cloud experience, and a passion for delivering enterprise‑grade data solutions.Qualifications

Education Requirements

• Bachelor’s /Master’s degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related technical field.

Experience Requirements

• 7+ years of total experience in data engineering, data platforms, or data‑centric software engineering.

• 5+ years of hands‑on experience designing and building data pipelines, ETL/ELT workflows, and cloud‑native data solutions.

• 3+ years of direct experience with Google Cloud Platform (GCP) using services such as BigQuery, Cloud Storage, Cloud Run, Datafusion, Dataproc, Composer, and Pub/Sub.

• Advanced proficiency in SQL, Python, and PySpark for data processing and transformation.

• Proven experience developing and supporting production‑grade, end‑to‑end cloud data pipelines.

• Expertise in ELT/ETL design, performance optimization, and data transformation frameworks.

• Strong background in monitoring, logging, alerting, and data quality frameworks across distributed systems.

• Experience with DevOps tools and techniques, including CI/CD, GitHub, and related automation practices.

• Demonstrated experience working in global, cross‑functional, and agile development environments.

• Excellent communication, problem‑solving, and analytical skills with the ability to collaborate across technical and non‑technical teams.

• GCP certification preferred (e.g., Google Cloud Professional Data Engineer).

Core Responsibilities

1. Data Engineering & Cloud Development (Core Responsibilities)

• Design, build, and maintain scalable data processing systems on Google Cloud Platform (GCP).

• Develop end‑to‑end data pipelines to support ingestion, transformation, and storage.

• Build ELT/ETL workflows, database objects, and cloud‑native data orchestration solutions.

• Optimize pipelines for performance, scalability, cost efficiency, and reliability.

• Ensure robust monitoring, alerting, and data quality assurance across distributed systems.

• Implement secure data architectures following Trane Technologies’ standards.

2. Collaboration & Analytics Enablement

• Work closely with data analysts and data scientists to understand business requirements and translate them into scalable data solutions.

• Support analytical use cases, data modelling, and enable self‑service data consumption.

• Partner across global teams, including business stakeholders, product owners, and data governance.

3. DevOps / Platform Engineering Partnership

• Partner with DevOps and platform engineering teams to ensure data infrastructure is secure, reliable, and highly available.

• Apply working knowledge of CI/CD practices (code versioning, automation, testing frameworks) to support cloud‑based deployments.

• Collaborate on environments, pipelines, and promote code through dev → test → prod.

4. Engineering Excellence & Ways of Working

• Participate in code reviews and maintain global coding standards.

• Follow structured engineering methods, documentation practices, and release processes.

• Contribute effectively in distributed, agile development teams across multiple time zones.

• Communicate clearly with both technical and non‑technical stakeholders.

5. Innovation & Continuous Improvement

• Research, evaluate, and propose new tools, technologies, and design patterns.

• Stay current with cloud, data engineering, and analytics trends relevant to enterprise‑scale environments.

• Apply continuous improvement practices to enhance reliability, quality, and developer productivity.

Responsibilities:

1.     Sales Generation:

·       Identify and prospect potential clients to generate new business opportunities.

·       Conduct effective sales presentations and product demonstrations to showcase the value proposition of our offerings.

·       Collaborate with the sales team to develop and implement sales strategies to achieve revenue targets.

·       Follow up with leads and coordinate the entire sales cycle from initial contact to closing deals.

2.     Client Relationship Management (only for Senior Associate):

·       Build and maintain strong relationships with clients by understanding their needs and providing tailored solutions.

·       Provide exceptional customer service and address client inquiries and concerns promptly and professionally.

·       Conduct regular client follow-ups to ensure client satisfaction and identify opportunities for upselling or cross-selling.

3.     Market Analysis (only for Senior Associate):

·       Stay updated on industry trends, market conditions, and competitor activities.

·       Conduct market analysis to identify potential business opportunities and target markets.

·       Gather customer feedback and market insights to contribute to product and service enhancements.

4.     Sales Administration:

·       Maintain accurate and up-to-date sales records, including customer profiles, sales activities, and pipeline management.

·       Prepare sales reports and forecasts for management review.

·       Collaborate with the sales team and other departments to streamline processes and improve sales effectiveness.

Qualifications and Skills:

·       Bachelor's degree in Business, Marketing, or a related field.

·       Proven track record of 1-3 years in sales or business development roles for an associate and 4-6 years in sales and business development roles for a senior associate, preferably in a B2B environment.

·       Relevant experience like training Industry, HR consultancy, etc

·       Strong negotiation and persuasion skills with the ability to close deals.

·       Excellent communication and presentation skills, both verbal and written.

·       Self-motivated and target-driven, with a demonstrated ability to work in a fast-paced sales environment.

·       Strong interpersonal skills with the ability to build rapport and establish long-term client relationships.

Benefits:

·       Opportunities for career growth and professional development.

·       Collaborative and supportive work environment.

·       Ongoing training and skill development programs.

1. At least 3+ years of experience in Oracle ERP/Fusion SaaS/PaaS project implementations as a technical developer

2. Completed at least 1 ERP or Oracle Cloud (Fusion) project implementations

3. Extensive Knowledge on underlying database structure for ERP/Oracle Cloud (Fusion)

4. Extensively worked on BI Publisher reports, FBDI/OTBI and Oracle Integration Cloud (OIC)

5. Have strong technical knowledge on Oracle Database SQL and PLSQL

6. VBCS development experience is an added advantage 

About OpsCruise

Digital business is driving a fundamental shift to cloud-native applications, creating a new set of operational and performance challenges ill-suited to the currently available solutions. At OpsCruise, we imagine a world of autonomous operations and are innovating a fundamentally different approach to performance management. OpsCruise’s vision is to automate the performance assurance of cloud applications using a model-driven closed-loop platform.

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Team

The OpsCruise team represents a global and talented team that includes domain experts in IT Operations, Networking, Storage, Hyperscale Systems and AI/ML that have built market-leading solutions at companies such as Cisco, Google, Hitachi, HP, Infoblox, Oracle and VMWare among others.

Our engineering culture values creativity, pragmatism, honesty, and simplicity to solve hard problems the right way.

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Role

We are looking for a Senior QA Engineer who will join our team building and rolling out our SaaS platform in the cloud AI/Ops space.

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Our Technology Stack

Our product involves the following technology areas with one or more tools in use in each area:

1. Container technologies, including creating Docker plugins and extensions
2. Serverless technologies including instrumentation, addons
3. Orchestrators including Kubernetes, OpenShift, Mesos, Swarm
4. Metric generation and collection including Prometheus and tools such as Dynatrace and Datadog
5. Tracing including OpenTracing, Jaeger
6. Graph tools and Databases including neo4j, JanusGraph, TinkerPop/Gremlin
7. TimeSeries databases such as Prometheus, OpenTSDB
8. NoSQL and Indexing tools such as MongoDB, Cassandra, Solr and Elastic
9. Languages including Java, Scala, Javascript, Python, R, and Go
10. Messaging tools including Kafka, Akka
11. Big Data tools including HDFS, YARN, Spark, Flink
12. AI/ML techniques including Statistical Analysis, Classification, Deep Learning, etc.
13. Cloud services: AWS, GCP, and Azure, their services in databases, networking and ML tools
14. High performance User Interfaces including AngularJS, Vue, D3.js and local stores
15. Authentication and Authorization including tools such as Okta and KeyCloak.

Responsibilities

1. Understand user level requirements, write up the test strategy, derive test plan and test cases in detail.
2. System and integration testing with automation of test cases using Python or Java.
3. Use test frameworks such as Robot Framework.
4. Use traffic generator tools such as JMeter for performance testing
5. Set up the target test environments in AWS, Azure or GCP
6. Containers based environment setup with Kubernetes and Docker, monitoring tools setup with Prometheus
7. Debug incidents and issue to narrow down to a root cause
8. Understand and reproduce internally issues reported by customers

Qualifications

The ideal candidate must have the following qualifications.

1. B.E/B.Tech Degree from a reputed institution with at least 4 years of relevant experience.
2. Hands-on experience with test automation using Python or Java.
3. Experience with test frameworks such as Robot Framework or TestNG.
4. Traffic generation tools usage such as curl-loader or JMeter
5. QA engineers for Networking Technology products such as switches, routers, L4-L7 products testing can also apply.
6. Knowledge of public clouds, AWS, Azure or GCP, is desired
7. Working knowledge in Kubernetes, Docker or Openshift environments required
8. Hands on experience with Linux
9. Strong problem solving and debugging abilities
10. Familiarity with continuous integration tools such as Jenkins or CircleCI
11. Interest in machine learning (ML) and data science is a plus

Most importantly, you should be someone who is passionate about building new and innovative products that solve tough real-world problems. 

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LOCATION

Chennai, India