11+ Enterprise services Jobs in Hyderabad | Enterprise services Job openings in Hyderabad
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Present, sell and build long term relationships with clients from the territory assigned
Proven experience to build strong C-level relationships in the region
Strong analytical, conceptual, and problem-solving abilities paired with excellent communications skills
Manage the end-to-end sales process.
Gather RFP’s, RFQ and RFI’s from potential prospects and respond after qualifying them
Nurture prospective leads through engagement.
Identify sales prospects and be able to build a strong pipeline with forecasts.
Collaborate with Inside Sales, Marketing and Product team.
Nurture the prospective clients on industry trends and innovative solutions for the key challenges across the ecosystem
Prepare presentations, proposals and sales contracts
Execute a sales process that validates and qualifies the technical and business requirements of the customer in order to close the business on a timely basis.
Strong operational and analytical abilities. Metric driven, comfortable in working with data to draw and share insights with stakeholders
Minimum 6-8 years experience in software sales
Experience working for the US market
Proven track record for reaching revenue targets, negotiating contracts, building client relationships, account management and lead generation capabilities.
You must have the experience of managing an annual sales quota of $1M or more.
Outstanding presentation, communication and negotiation skills.
Experience selling digital solutions to multiple industry verticals is a plus.
Experience working with a mid sized systems integrator would be a plus
MBA/PGDBM with relevant experience
AuxoAI is hiring a Senior Applied Scientist to design and deploy production-grade AI agents capable of structured reasoning, planning, and decision-making.
This role focuses on building intelligent agent systems that combine LLM-based reasoning with classical planning, search algorithms, and optimization techniques. The ideal candidate will develop robust agent architectures that operate reliably in real-world environments with constraints around latency, cost, uncertainty, and limited context windows.
You will work on advanced AI systems that power autonomous workflows, decision engines, and tool-driven agent ecosystems.
You will work on problems where existing architectures may not be sufficient, and will be expected to experiment with new approaches that combine machine learning, graph algorithms, and classical AI techniques to build reliable, production-grade systems.
Location - Mumbai/Bangalore/Hyderabad/Gurgaon (Hybrid - 3 Days a week in Office)
Responsibilities:
- Design and architect modular AI agent frameworks incorporating skill decomposition, tool orchestration, and persistent state tracking.
- Implement planning and search algorithms such as Monte Carlo Tree Search (MCTS), beam search, A search, heuristic search, and graph-based planning approaches* to support complex decision-making tasks.
- Develop decision-making loops that balance trade-offs between exploration vs. exploitation, cost vs. accuracy, and latency vs. reasoning depth.
- Build structured memory systems including episodic memory stores, semantic memory layers, and vector-based memory with optimized retrieval strategies.
- Design tool-calling architectures with strong execution validation, retry mechanisms, and failure recovery strategies.
- Develop evaluation frameworks to measure agent performance using task success metrics, rollout simulations, and multi-sample validation approaches.
- Improve agent performance through techniques such as distillation, synthetic trajectory generation, prompt compression, and context pruning.
- Deliver production-ready agent systems that meet operational requirements around reliability, cost efficiency, throughput, and observability.
Requirements
- 2-5 years of experience building machine learning or AI systems in production environments.
- Strong experience implementing search or planning algorithms beyond basic use cases, including tree search or heuristic-based planning approaches.
- Hands-on experience with Monte Carlo Tree Search (MCTS) or related decision-making frameworks.
- Strong understanding of state-space representations, heuristic design, and decision boundary trade-offs.
- Experience building or extensively customizing agent frameworks for real-world applications.
- Hands-on experience designing tool-use or function-calling architectures under practical system constraints.
- Strong Python engineering skills with a focus on scalable and reliable system design.
Nice to Have:
- Experience with reinforcement learning techniques such as policy gradients, value estimation, or reward modeling.
- Experience building multi-agent or collaborative agent systems.
- Experience designing evaluation frameworks for agent robustness and reliability.
- Experience optimizing LLM inference pipelines for latency, throughput, and cost efficiency.
- Familiarity with distributed task orchestration systems and large-scale AI workflow management.
Responsibilities:
- Work closely with senior engineers to develop high-quality software solutions
- Collaborate with team members to analyze user requirements and design software solutions
- Participate in agile development processes, including sprint planning, daily stand-ups, and sprint reviews
- Write clean, maintainable, and efficient code
- Develop and maintain unit tests to ensure code quality
- Contribute to the design and architecture of microservices-based applications
- Collaborate with cross-functional teams to troubleshoot, debug, and optimize software applications
Requirements:
- 8+ years of experience in software development
- Proficiency in C#, .NET, Microservices architecture, SQL, and Azure services
- Experience with Agile development methodologies
- Strong problem-solving skills and attention to detail
- Ability to work independently and as part of a team
- Excellent communication skills and willingness to ask questions and seek guidance when needed
Additional Preferred Skills:
- Familiarity with other programming languages and technologies is a plus
A Business Executive will be meeting existing clients in their locations and increase the app
download in that society.
Approaching the residents through door knocks and increasing the app download in that
society.
● Meeting existing client
● Increase the app download in that society
● Door to door knocks and approach the residents
● Prospect, educate, qualify, and generate opportunities to improve customer satisfaction
● In order to increase the download of app, they should conduct various activities like
meeting residents door to door, canopy, sitting/meeting security guards at regular intervals.
Selected candidate's day-to-day responsibilities include:
-
Speaking to parents (leads given by us) and:
-
Convincing them to book a consultation (paid or free, as applicable)
-
Upselling/converting to paid subscriptions/courses and programs, wherever applicable
-
- Communicating with prospects via email and whatsapp
- Creating and maintaining MIS and daily reports
* Managing the clients
* Making cold calls
* Attending direct walk-ins
* converting cold calls & walk-in inquiries
* Achieving the given sales target
We have a urgent requirement for a post of Mulesoft Architect for a repted MNC Compnay
Notice Period- 15-30 days
Position: Java developer
Experience: 4-5 years
Notice period- immediate to 7 days
• Core Java, J2EE, Spring, Spring Boot, Angular, JavaScript, JQuery, Bootstrap, CSS3, HTML, Ajax, JSON, SQL, PLSQL, Web Services, Restful API’s
• Having good experience in writing complex database queries.
• Should be a quick learner and keen on learning new technologies
• Good knowledge in Object Oriented Programming Principles, Design Patterns and Software Architecture
• Experience with building SaaS-based web applications
• Ability to work as part of a team and offer new ideas
• Working knowledge of GIT version control system
• Product development background.
About the Role
The Dremio India team owns the development of the cloud infrastructure and services that power Dremio's Data Lake Engine. With focus on query performance optimization, supporting modern table formats like Iceberg, Deltalake and Nessie, this team provides endless opportunities to to define the products for next generation of data analytics.
In this role, you will get opportunities to impact high performance system software and scalable SaaS services through application of continuous performance management. You will plan, design, automate, execute the runs followed by deep analysis and identification of key performance fixes in collaboration with developers. Open and flexible work culture combined with providing employees ownership of the work they do will help you develop as a leader. The inclusive culture of the company will provide you a platform to bring fresh ideas and innovate.
Responsibilities
- Deliver end to end performance testing independently using agile methodologies
- Prepare performance test plans, load simulators and test harnesses to thoroughly test the products against the approved specifications
- Translate deep insight of architecture, product & usage into an enhanced automated performance measurement & evaluation framework to support continuous performance management.
- Evaluate & apply the latest tools, techniques and research insights to drive improvements into a world-class data analytics engine
- Collaborate with other engineering and customer success functions to simulate customer data and usage patterns, workloads to execute performance runs, identify and fix customer issues and make sure that customers get highly performant, optimized and scalable Dremio experience
- Analyze performance bottlenecks, root cause issues, file defects, follow up with developers, documentation and other teams on the resolution.
- Publish performance benchmark report based on test runs in accordance with industry standards
- Regularly communicate leadership team with an assessment of the performance, scalability, reliability, and robustness of products before they are exposed to customers
- Analyze and debug performance issues in customer environments.
- Understand and reason about concurrency and parallelization to deliver scalability and performance in a multithreaded and distributed environment.
- Actively participate in code and design reviews to maintain exceptional quality and deepen your understanding of the system architecture and implementation
Basic Requirements
- B.Tech/M.Tech/Equivalent in Computer Science or a related technical field
- 8+ years of performance automation engineering experience on large scale distributed systems
- Proficiency in any of Java/C++/Python/Go and automation frameworks
- Hands on experience in integration performance automation using CI/CD tools like Jenkins
- Experience in planning and executing performance engineering tasks to completion and taking ownership of performance epics during a set of sprints.
- Experience in designing, implementing, executing and analyzing automated performance tests for complex, production system software.
- Experience in analyzing performance bottlenecks in system, performing root cause analysis, and following issue resolution workflow to tune the system to provide optimized performance
- Ability to derive meaningful insights from the collected performance data, articulate performance findings effectively with senior team members to evaluate design choices.
- Experience with database systems internals, query optimization, understanding and tuning query access plans, and query execution instrumentation.
- Hands on experience of working projects on AWS, Azure and Google Cloud Platform
- Understanding of distributed file systems like S3 or ADLS or HDFS and HIVE
- Ability to create reusable components to automate repeatable, manual activities
- Ability to write technical reports and summary and present to leadership team
- Passion for learning and delivering using latest technologies
- Excellent communication skills and affinity for collaboration and teamwork
- Passion and ability to work in a fast paced and agile development environment.
Preferred Qualification
- Hands on experience of multi-threaded and asynchronous programming models
- Hands on experience in query processing or optimization, distributed systems, concurrency control, data replication, code generation, networking, storage systems
1. Azure/Infra Architect
Responsibilities
- Candidate must have demonstrated experience of migrating solutions to the Azure cloud platform
- Assess, analyze current infrastructure footprint (compute, storage, network) and complete requirement gathering (HW, SW) to move individual applications to Cloud
- Complete high level and low level design for cloud infrastructure, databases and other required components.
- Build and deploy infrastructure in cloud
- Migrate OS, Database and application from on-premise to Cloud
- Apply technical knowledge and customer insights to create application modernization roadmap and architect solutions to meet business and IT needs, ensuring technical viability of new projects and successful deployments, orchestrating key resources and infusing key application development and DevOps technologies (e.g. App Service, containers, serverless, cloud native, Java/node.js, DevOps and OSS tools)
- Connect with Client team to remove key blockers
Qualifications
- Must have at least 1 Azure certification (Administrator, Developer or Architect)
- Must have 5+ experience in Cloud and Data center migration project as solution architect
- Must have in-depth understanding of compute, storage, network components including backup, monitoring and DR environment requirements
- Experience and understanding of large-scale applications portfolio in enterprise-wide environment (including migration of on-premise workloads to the cloud) required;
- Deep domain expertise of cloud application development solutions (e.g. IaaS, Serverless, API Management), container orchestration (e.g. Kubernetes, Cloud Foundry), continuous integration technologies (e.g. Jenkins, Spinnaker, Azure for DevOps, Chef, Puppet), web application server technologies, cloud application design, software architecture and practices (design/development/deployment, Agile, SCRUM, ALM), breadth of technical experience, and technical aptitude to learn and adjust to new technologies and cloud trends required;
- Experience and understanding of large-scale application development projects (including key coding skills and practices) required;
2. Azure DevOps Engineer
Responsibilities:
- Candidate will implement automation solutions on Azure using open source tools and technologies (e.g. Ansible, Jenkins, Chef) in any of the following technology tiers/products:
- Unix/Linux
- Microsoft Windows Server
- Oracle Database
- Middleware (IBM WebSphere, JBoss)
- VMware
- Candidate must have demonstrated experience of migrating solutions to the Azure cloud platform
- Candidate will provide expert level of automation solution support.
- Perform as primary Systems Administrator in a large enterprise environment.
- Perform Patch management tasks to include: maintaining current knowledge of available patches, deciding what patches are appropriate for particular systems, ensuring that patches are installed properly, testing systems after installation, and documenting all associated procedures
- Test new releases of products to ensure compatibility and minimize user impact.
- Recommend and implement system enhancements that will improve the performance and reliability of the system including installing, upgrading/patching, monitoring, problem resolution, and configuration management.
- Develop, document, and automate technical processes and procedures as needed.
- Adhere to strict Information Systems security guidelines in all cases.
Qualifications:
- Must have at least 1 Azure certification (Administrator, Developer or Architect)
- Must have experience with one or more open source tools (Ansible, Chef, Puppet, Yamal, Parker, etc.).
- Hands on experience with change automation and orchestration.
- Proficient in scripting languages (e.g. Perl, Python, Bash, Ruby, etc.)
- Hand on experience with troubleshooting and diagnoses of hardware and software problems.
- Experience installing, configuring, and maintaining computer hardware and software in a large-scale enterprise environment.

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