20 Aiops Jobs

Senior xOps Specialist AIOps, MLOps & DataOps Architect Location: Chennai, Pune Employment Type: Fulltime - Hybrid Experience Required: 12-15 years Job Summary: We are seeking a Senior xOps Specialist to architect, implement, and optimize AI-driven operational frameworks across AIOps, MLOps, and DataOps. The ideal candidate will design and enhance intelligent automation, predictive analytics, and resilient pipelines for large-scale data engineering, AI/ML deployments, and IT operations. This role requires deep expertise in AI/ML automation, data-driven DevOps strategies, observability frameworks, and cloud-native orchestration. Key Responsibilities – Design & Architecture AIOps: AI-Driven IT Operations & Automation Architect AI-powered observability platforms, ensuring predictive incident detection and autonomous IT operations. Implement AI-driven root cause analysis (RCA) for proactive issue resolution and performance optimization. Design self-healing infrastructures leveraging machine learning models for anomaly detection and remediation workflows. Establish event-driven automation strategies, enabling autonomous infrastructure scaling and resilience engineering. MLOps: Machine Learning Lifecycle Optimization Architect end-to-end MLOps pipelines, ensuring automated model training, validation, deployment, and monitoring. Design CI/CD pipelines for ML models, embedding drift detection, continuous optimization, and model explainability. Implement feature engineering pipelines, leveraging data versioning, reproducibility, and intelligent retraining techniques. Ensure secure and scalable AI/ML environments, optimizing GPU-accelerated processing and cloud-native model serving. DataOps: Scalable Data Engineering & Pipelines Architect data processing frameworks, ensuring high-performance, real-time ingestion, transformation, and analytics. Build data observability platforms, enabling automated anomaly detection, data lineage tracking, and schema evolution. Design self-optimizing ETL pipelines, leveraging AI-driven workflows for data enrichment and transformation. Implement governance frameworks, ensuring data quality, security, and compliance with enterprise standards. Automation & API Integration Develop Python or Go-based automation scripts for AI model orchestration, data pipeline optimization, and IT workflows. Architect event-driven xOps frameworks, enabling intelligent orchestration for real-time workload management. Implement AI-powered recommendations, optimizing resource allocation, cost efficiency, and performance benchmarking. Cloud-Native & DevOps Integration Embed AI/ML observability principles within DevOps pipelines, ensuring continuous monitoring and retraining cycles. Architect cloud-native solutions optimized for Kubernetes, containerized environments, and scalable AI workloads. Establish AIOps-driven cloud infrastructure strategies, automating incident response and operational intelligence. Qualifications & Skills – xOps Expertise Deep expertise in AIOps, MLOps, and DataOps, designing AI-driven operational frameworks. Proficiency in automation scripting, leveraging Python, Go, and AI/ML orchestration tools. Strong knowledge of AI observability, ensuring resilient IT operations and predictive analytics. Extensive experience in cloud-native architectures, Kubernetes orchestration, and serverless AI workloads. Ability to troubleshoot complex AI/ML pipelines, ensuring optimal model performance and data integrity. Preferred Certifications (Optional): AWS Certified Machine Learning Specialist Google Cloud Professional Data Engineer Kubernetes Certified Administrator (CKA) DevOps Automation & AIOps Certification

The IZOT product line includes BMCs Intelligent Z Optimization & Transformation products, which help the worlds largest companies to monitor and manage their mainframe systems. The modernization of mainframe is the beating heart of our product line, and we achieve this goal by developing products that improve the developer experience, the mainframe integration, the speed of application development, the quality of the code and the applications security, while reducing operational costs and risks. We acquired several companies along BMC is looking for a talented and passionate Senior Product Manager to join our IZOT team! In this role, you will define the future vision for the product line, analyze business opportunities, specify, and prioritize customer requirements, direct product development teams, define pricing, and support successful commercial outcomes throughout the product lifecycle. As product manager, you will be an expert on the product, market, and related business domains. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Work closely with enterprise customers, prospects, sales, presales, and customer success to understand current pain points and potential future requirements Collaborate with development and QA, solutions marketing, and support teams to ensure that solutions are delivered to plan, the sales teams are enabled, and customers are satisfied. Serve as the primary liaison between customers and the R&D team, ensuring alignment of product development efforts with customer needs and market demands. Help plan product deliveries, including documenting detailed requirements, scheduling releases, and publishing roadmaps. Conduct thorough market research, customer interviews, and analysis of feedback to prioritize features and enhancements, ensuring alignment with customer needs, market trends, and long-term strategic objectives. Define product vision, strategy, and success metrics, monitoring key performance indicators (KPIs) to track product performance and customer satisfaction. To ensure youre set up for success, you will bring the following skillset & experience: 5 + years of product management or technical product ownership experience in enterprise software. Demonstrated success working with engineering teams to deliver features in Agile environments. Familiarity with AI/ML technologies or automation platforms; experience with GenAI a plus. Excellent organizational skills and ability to manage multiple workstreams in a complex environment. Strong written and verbal communication skills, with a focus on clarity and collaboration. Whilst these are nice to have, our team can help you develop in the following skills: Experience working with LLMs or GenAI-powered applications. Knowledge of enterprise DevOps, AIOps, mainframe tools, or hybrid IT environments. Background in software engineering or technical delivery roles.

What You'll Do As a member of our Reliability Engineering Product SRE team, you will build production applications with excellent MVRs and SMMs , ensuring customer satisfaction through your expertise in SRE domain skills . We are looking for someone who is passionate about automation, efficiency, and . You will use a bundled tech stack to provide deep visibility into customer, product, and infrastructure interactions. You will have for SLOs, SLIs, Service level agreements , and the golden metrics that move reliability. You will programmatically approach MVRs using coding and scripting languages , while also applying AI/ML-driven insights where applicable. What Your Responsibilities Will Be Build products with MVRs and reliability standards , ensuring system resilience and scalability. Operate observability tools across multiple cloud providers, incorporating AI-powered anomaly detection to enhance monitoring. Assist development teams in defining SLO/SLI dashboards and alerts , optimizing alerting signals with ML-based noise reduction techniques . Use Go, Python, or Terraform to automate operational tasks and build self-healing mechanisms. Administer Grafana, Prometheus, Loki, and other observability tools , integrating predictive analytics where beneficial. Troubleshoot and support production environments , using AI-assisted diagnostics where applicable for faster cause identification. Automate incident response workflows, applying AIOps to reduce manual toil and improve MTTR. What You'll Need to be Successful 5 years' experience in a SaaS environment . Bachelor's degree or equivalent experience. Participate in an on-call rotation . Experience with networking (OSI model, TCP/IP, DNS), in cloud environments . Experience with Linux administration, security hardening, and performance tuning . Experience with troubleshooting distributed software failures. Experience with observability principles , including log analysis, tracing, and metrics correlation . Background in infrastructure as code (Terraform, Pulumi) and container orchestration (Kubernetes, ECS, Nomad) . Interest in AI-powered automation , including AIOps tools, ML-based alert tuning, and predictive maintenance . Experience with Observability tools like Prometheus,grafana or OpenTelemetry with ML-based anomaly detection . Excellent technical writing skills for documenting architectures, processes, and automation workflows.

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Solution design and architecture in the fields of Digital IT Service Management, Service Assurance, and AIOps, including infrastructure and application monitoring, event management, analytics, machine learning, automation, orchestration, and server and network automation tools across Data Centre, Cloud, Network, and EUC domains. The portfolio encompasses BSM tools solutions and pre-sales activities necessary to build IT services for end customers. This includes solution architecting, consulting, tools portfolio optimization, process gap analysis, solution defense, OEM alliances, delivery interface, and service level management. The role involves ensuring proactive engagement with customers to understand their tools estate and proposing next-generation solution areas that deliver business value. Responsibilities also include completing the technical response of proposals, including compliance with requirements, and incorporating Wipro's proprietary solutions and IPs, such as HOLMES. The individual will be responsible for reviewing, enhancing, and improving tools-specific solutions, value propositions, and pricing based on experience and expertise in BSM solutions at large strategic outsourcing engagements for Wipro. Additionally, this role involves managing interactions with partners such as Splunk, AppDynamics, Dynatrace, Moogsoft, HP, Microfocus, BMC, Microsoft, and ServiceNow Competency Building and Branding Ensure completion of necessary trainings and certifications Develop Proof of Concepts (POCs),case studies, demos etc. for new growth areas based on market and customer research Develop and present a point of view of Wipro on solution design and architect by writing white papers, blogs etc. Attain market references and recognition through highest analyst rankings, client testimonials and partner credits Be the voice of Wipros Thought Leadership by speaking in forums (internal and external) Mentor developers, designers and Junior architects in the project for their further career development and enhancement Qualifications: 10+ Years of experience in IT industry in infrastructure support and management area Experience in Enterprise tools solutioning covering ITSM, ITOM, ITAM tools. Demonstrated ability to communicate both laterally and up to influence decisions and actions. Competency Building and Branding Ensure completion of necessary trainings and certifications Develop Proof of Concepts (POCs),case studies, demos etc. for new growth areas based on market and customer research Develop and present a point of view of Wipro on solution design and architect by writing white papers, blogs etc. Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits Be the voice of Wipros Thought Leadership by speaking in forums (internal and external) Mentor developers, designers and Junior architects in the project for their further career development and enhancement Contribute to the architecture practice by conducting selection interviews etc Reinvent your world.We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

ROLE AND RESPONSIBILITIES Design, implement, configure, and maintain both the Moogsoft AIOps platform and the Apex AIOps Incident Management platform. Develop and manage integrations between Moogsoft, Apex AIOps, and other relevant IT monitoring, logging, and ITSM tools. Develop and implement automation workflows and runbooks within both AIOps platforms to streamline incident management and remediation processes. Collaborate with various IT teams (monitoring, application, infrastructure, security, operations) to understand their AIOps requirements and translate them into effective solutions on both platforms. Define and enforce best practices for the configuration, utilization, and administration of both Moogsoft and Apex AIOps. Troubleshoot issues related to platform performance, data ingestion, correlation logic, integrations, and automation within both environments. Create and maintain comprehensive documentation for configurations, integrations, workflows, and operational procedures for both Moogsoft and Apex AIOps. Develop and implement metrics and dashboards within both platforms to provide visibility into IT health, incident trends, and the effectiveness of AIOps implementations. Ensure the security and compliance of both Moogsoft and Apex AIOps platforms and their integrations. QUALIFICATIONS AND EDUCATION REQUIREMENTS Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Proven experience (typically 8+ years) in a technical role focused on AIOps platforms, event management, or systems integration, with specific experience in both Moogsoft and Apex AIOps. Hands-on experience implementing, configuring, and administering both Moogsoft and Apex AIOps in a production environment is essential. • Familiarity with a wide range of IT monitoring tools, logging systems, and ITSM platforms. • Understanding of ITIL frameworks and incident management processes. PREFERRED SKILLS • Deep hands-on expertise in configuring and managing the Moogsoft AIOps platform. • Deep hands-on expertise in configuring and managing the Apex AIOps Incident Management platform. • Strong understanding of AIOps concepts, machine learning algorithms used for event correlation, and noise reduction techniques within both platforms. • Proven ability to integrate both Moogsoft and Apex AIOps with various IT systems using APIs and other integration methods. • Excellent analytical, problem-solving, and troubleshooting skills across both AIOps platforms. • Strong scripting and automation skills (e.g., Python, Shell) for automating tasks within and around both platforms. • Excellent communication (both written and verbal) and collaboration skills, with the ability to work effectively with diverse technical teams. • Ability to document technical solutions clearly and concisely for both platforms. • Experience with version control systems (e.g., Git). GOOD TO HAVE SKILLS • Experience with other AIOps platforms or event management tools. • Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and their monitoring and event management services, and how they integrate with Moogsoft and Apex AIOps. • Understanding of security best practices for AIOps platforms and integrations. • Experience with agile development methodologies. ADDITIONAL NOTES • The successful candidate will be a self-starter with a passion for data visualization and problem-solving. • This role may involve working closely with cross-functional teams to implement and support their monitoring needs.

AI Ops Senior Architect 12 -17 Years Work Location - Pune/ Bengaluru/Hyderabad/Chennai/ Gurugram Tredence is Data science, engineering, and analytics consulting company that partners with some of the leading global Retail, CPG, Industrial and Telecom companies. We deliver business impact by enabling last mile adoption of insights by uniting our strengths in business analytics, data science and data engineering. Headquartered in the San Francisco Bay Area, we partner with clients in US, Canada, and Europe. Bangalore is our largest Centre of Excellence with skilled analytics and technology teams serving our growing base of Fortune 500 clients. JOB DESCRIPTION At Tredence, you will lead the evolution of Industrializing AI ” solutions for our clients by implementing ML/LLM/GenAI & Agent Ops best practices. You will lead the Architecture , Design & development of large scale ML/LLMOps platforms for our clients. You’ll build and maintain tools for deployment, monitoring, and operations. You’ll be a trusted advisor to our clients in ML/GenAI/Agent Ops space & coach to the ML engineering practitioners to build effective solutions to Industrialize AI solutions THE IDEAL CANDIDATE WILL BE RESPONSIBLE FOR AI Ops Strategy, Innovation, Research and Technical Standards 1. Conduct research and experiment with emerging AI Ops technologies and trends. Create POV’s, POC’s & present Proof of Technology to use latest tools, Technologies & services from Hyper scalers focussed on ML, GenAI & Agent Ops 2. Define and propose new technical standards and best practices for the organization's AI Ops environment. 3. Lead the evaluation and adoption of innovative MLOps solutions to address critical business challenges. 4. Conduct meet ups, attend & present in Industry events, conferences, etc 5. Ideate & develop accelerators to strengthen service offerings of AI Ops practice Solution Design & Architectural Development 6. Lead Design & architecture of scalable model training & deployment pipelines for large-scale deployments 7. Architect & Design large scale ML & GenAI Ops platforms 8. Collaborate with Data science & GenAI practice to define and implement strategies of AI solutions for model explainability and interpretability 9. Mentor and guide senior architects in crafting cutting-edge AI Ops solutions 10. Lead architecture reviews and identify opportunities for significant optimizations and improvements. Documentation and Best Practices 11. Develop and maintain comprehensive documentation of AIOps architectures designs and best practices. 12. Lead the development and delivery of training materials and workshops on AIOps tools and techniques. 13. Actively participate in sharing knowledge and expertise with the MLOps team through internal presentations and code reviews. Qualifications and Skills: 1. Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field with minimum 12 years of experience 2. Proven experience in architecting & developing AIOps solutions – to streamline Machine Learning & GenAI development lifecycle 3. Proven experience as an AI Ops Architect – ML & GenAI in architecting & design of ML & GenAI platforms 4. Hands on experience in Model deployment strategies, Designing ML & GenAI model pipelines to scale in production, Model Observability techniques used to monitor performance of ML & LLM’s 5. Strong coding skills with experience in implementing best coding practices Technical Skills & Expertise Python, PySpark, PyTorch ,Java, Micro Services, API’s LLMOps – Vector DB, RAG, LLM Orchestration tools, LLM Observability, LLM Guardrails, Responsible AI MLOps - MLFlow, ML/DL libraries, Model & Data Drift Detection libraries & techniques Real Time & Batch Streaming Container Orchestration Platforms Cloud platforms – Azure/ AWS/ GCP, Data Platforms – Databricks/ Snowflake Nice to Have: Understanding of Agent Ops Exposure to Databricks platform You can expect to – Work with world’s biggest Retailers, CPG’s, HealthCare, Banking & Manufacturing customers and help them solve some of their most critical problems Create multi-million Dollar business opportunities by leveraging impact mindset, cutting edge solutions and industry best practices. Work in a diverse environment that keeps evolving Hone your entrepreneurial skills as you contribute to growth of the organization

Observability Engineer: Define and implement new monitoring definitions following best practices. Focus on Infrastructure monitoring (mandatory); Application stack monitoring is a plus. Tune monitoring definitions to reduce operational noise. Experience working with SolarWinds and ServiceNow ITOM AIOPs. ITOM AIOPs Event Management: Tune monitoring policies and event rules. Optimize Operational Intelligence configurations. Optimize architecture and usage of Midservers for monitoring. Configure Health Log Analytics; recommend appropriate logging sources to enhance monitoring and detect change-related alerts. Configure Agent Client Collector (ACC) monitoring, aiming to replace SolarWinds for server monitoring. Develop and configure Service and Configuration Item (CI) binding rules for monitoring. Develop automated alert response mechanisms: Fully automated responses for automatic alert resolution. Playbook actions in ServiceNow triggered manually by agents. Automation can be implemented via scripts, ServiceNow OOTB/custom responses, or Swimlane workflows. Duration: 3-6 months contract followed by C2H (Contract to Hire) Note: Candidates unwilling to convert after 3-6 months will not be considered Shift Timings: 5 PM 2 AM IST

As Solution Consultant, you will play a pivotal role in shaping the overall solution strategy and architecture. In collaboration with different teams, engage with customers to understand their unique demands and drive innovative, value-driven solutions. Help craft compelling business cases that set Nokia apart in the telecommunications market. With a focus on customer success, build lasting relationships with technical decision-makers, ensuring that the solutions not only meet but exceed business needs. You have: 15+ years of experience in telecommunications with a focus on CNS (Core & Application) domains. Proven track record in designing and delivering complex, multi-domain solutions for telco and enterprise customers. Strong domain knowledge in OSS, Mobile Voice/Data Core, AIOps, Security, and autonomous operations. Outstanding stakeholder engagement and consultative selling skills. Strong pre-sales background with end-to-end architecture experience. It would be nice if you also had: Previous experience with XaaS business models. Understanding of Machine Learning / AI platforms. Familiarity with telco infrastructure, including assurance, service quality, inventory, and fulfillment solutions. Proficiency in cloud-native architectures and automation frameworks. Collaborate with the domain pre-sales, sales, commercial, and delivery teams Generate a robust pipeline that supports achievement of assigned quota(s) Understand customer business pain points and their established KPIs to meet their business objectives Identify and qualify new business opportunities Position and emphasize Nokia CNS value, demonstrating business benefits and ROI effectively Work with alliance partners to extend our sales efforts in the accounts Partner with account managers and Customer Business Team head to develop the opportunity

Role Purpose The purpose of this role is to provide solutions and bridge the gap between technology and business know-how to deliver any client solution Do 1. Bridging the gap between project and support teams through techno-functional expertise For a new business implementation project, drive the end to end process from business requirement management to integration & configuration and production deployment Check the feasibility of the new change requirements and provide optimal solution to the client with clear timelines Provide techno-functional solution support for all the new business implementations while building the entire system from the scratch Support the solutioning team from architectural design, coding, testing and implementation Understand the functional design as well as technical design and architecture to be implemented on the ERP system Customize, extend, modify, localize or integrate to the existing product by virtue of coding, testing & production Implement the business processes, requirements and the underlying ERP technology to translate them into ERP solutions Write code as per the developmental standards to decide upon the implementation methodology Provide product support and maintenance to the clients for a specific ERP solution and resolve the day to day queries/ technical problems which may arise Create and deploy automation tools/ solutions to ensure process optimization and increase in efficiency Sink between technical and functional requirements of the project and provide solutioning/ advise to the client or internal teams accordingly Support on-site manager with the necessary details wrt any change and off-site support 2. Skill upgradation and competency building Clear wipro exams and internal certifications from time to time to upgrade the skills Attend trainings, seminars to sharpen the knowledge in functional/ technical domain Write papers, articles, case studies and publish them on the intranet Deliver No. Performance Parameter Measure 1. Contribution to customer projects Quality, SLA, ETA, no. of tickets resolved, problem solved, # of change requests implemented, zero customer escalation, CSAT 2. Automation Process optimization, reduction in process/ steps, reduction in no. of tickets raised 3. Skill upgradation # of trainings & certifications completed, # of papers, articles written in a quarter Mandatory Skills: AIOPS - Implementation.Experience5-8 Years.

Role Purpose To ensure success as a technical architect, you should have extensive knowledge of enterprise networking systems, advanced problem-solving skills, and the ability to project manage. A top-class technical architect can design and implement any size system to perfectly meet the needs of the client. Do 1. Responsibilities: Meeting with the IT manager to determine the companys current and future needs. Determining whether the current system can be upgraded or if a new system needs to be installed. Providing the company with design ideas and schematics. Project managing the design and implementation of the system. Meeting with the software developers to discuss the system software needs. Troubleshooting systems issues as they arise. Overseeing all the moving parts of the system integration. Measuring the performance of the upgraded or newly installed system. Training staff on system procedures. Providing the company with post-installation feedback. 2. Technical Architect Requirements: Bachelors degree in information technology or computer science. Previous work experience as a technical architect. 3. Managerial experience. In-depth knowledge of enterprise systems, networking modules, and software integration. Knowledge of computer hardware and networking systems. Familiarity with programming languages, operating systems, and Office software. Advanced project management skills. Excellent communication skills. Ability to see big-picture designs from basic specifications. Ability to problem solve complex IT issues. Mandatory Skills: AIOPS - Dynatrace. Experience: 8-10 Years.

JD: Generative AI & AIOps Consultant About the role: We are seeking a highly experienced and motivated Generative AI & AIOps Consultant to be part of Tech Mahindras fastest growing AI delivery unit. This role will be pivotal in driving the delivery for our customers on Generative AI and AIOps solutions, leveraging the power of Generative AI and Agentic AI to deliver desired benefits of cost, agility and productivity in IT operations, and providing expert guidance to our clients. The ideal candidate will possess a strong understanding and prior experience on solutioning and consulting on Generative AI use cases and applications in IT operations and in business operations. The role also requires a strong understanding of IT Service Management processes, IT Operations Management and AIOps principles, coupled with hands-on experience in developing and implementing Generative AI solutions. This role will initially focus on due diligence, use case mining, and strategic consulting, requiring excellent communication, analytical, and problem-solving skills. Responsibilities: Consulting & Advisory: • Act as a trusted advisor to clients on AIOps and Generative AI strategies. • Present findings, recommendations, and solutions to clients in a clear and concise manner. • Develop and deliver training programs on Generative AI and AIOps concepts and technologies. • Stay up-to-date on the latest trends and advancements in AIOps and Generative AI. Collaboration & Communication: • Work closely with cross-functional teams, including data scientists, engineers, and business stakeholders. • Communicate effectively with clients and internal teams to ensure alignment and transparency. • Document all work, including code, configurations, and reports. Due Diligence & Assessment • Conduct thorough assessments of client environments, including cloud infrastructure, applications, networks, data, and processes, to identify opportunities for AIOps and Generative AI use cases. • Analyze existing service and operations management processes, practices and SOP’s to identify pain points, inefficiencies, and areas for improvement. • Evaluate the maturity of client's data infrastructure and readiness for AI-driven solutions and create an AI-IS state of maturity. • Develop comprehensive reports outlining findings, recommendations, and potential ROI for AIOps and Generative AI initiatives and create a TO-BE state of maturity. • Collaborate with stakeholders across IT operations, development, and business teams to identify and document high-value AIOps and Generative AI use cases. • Prioritize use cases based on business impact, technical feasibility, and alignment with strategic objectives. • Develop detailed use case specifications, including data requirements, algorithms, and expected outcomes. Generative AI Solution Design & Development • Design and develop Generative AI and AIOps use cases, such as incident analysis, root cause analysis, log analysis, anomaly detection, and automated remediation. • Leverage pre-trained models and fine-tune them for specific client needs. • Develop custom Generative AI models using frameworks like TensorFlow, PyTorch, or similar. • Integrate Generative AI solutions with existing ITSM and ITOM platforms. AIOps Implementation & Optimization • Provide expert guidance on the implementation of AIOps platforms and tools. • Configure and customize AIOps solutions to meet specific client requirements. • Develop and implement automation workflows to streamline IT operations processes. • Monitor and optimize AIOps solutions to ensure optimal performance and accuracy. Qualifications Experience: Minimum of 10 years of experience spanning across traditional AI, Generative AI, IT operations and AIOps. Generative AI Expertise • Proven experience in developing and implementing Generative AI solutions using frameworks like TensorFlow, PyTorch, or similar especially in IT Operations and services. • Deep understanding of Generative AI models, including Large Language Models (LLMs), transformers, and other relevant architectures. • Experience in fine-tuning pre-trained models for specific use cases. • Experience with prompt engineering and techniques for controlling Generative AI outputs. AIOps Expertise • Strong understanding of AIOps principles, methodologies, and tools. • Experience with AIOps platforms such as Dynatrace, New Relic, Splunk, Moogsoft, or similar. • Experience in implementing AIOps solutions for incident management, problem management, change management, and other IT operations processes. ITSM & ITOM Proficiency • Deep understanding of ITSM frameworks such as ITIL. • Experience with ITSM platforms such as ServiceNow, BMC Remedy, or similar. • Strong knowledge of ITOM concepts, including monitoring, alerting, and automation. Technical Skills • Proficiency in Python and scripting languages • Experience with cloud platforms such as AWS, Azure, or GCP. • Strong understanding and experience working on containerized environments like Dockers or Kubernetes. • Experience in building AI applications and models including traditional AI models for anomaly detection, clustering or classification, timeseries, regression or logistics regression forecasting models

Introduction Hiring a Solution Architect who is expert in creating Hybrid cloud, AI and DevOps solutions involving IBM z Systems and IBM Cloud Infrastructure. Premise of a hybrid cloud solution often revolves around the following topics, AI for the enterprise DevOps Cloud native experience for developers and operators Platform story led by a single integrated fabric that is core to a hybrid cloud strategy that removes org silos Common skills, processes, practices, and tools Integrated applications and data Enterprise Automation Security and Quantum Safe AIOps (Cloud native observability and management automation) At the core of all of this is the modern mainframe platform (IBM z16 and the likes) running z/OS or Linux on Z (or a LinuxOne box). As Global System Integrator(GSI)s help customers take a leap into the future, we would like to work with them to build their solutions based on hybrid strategy and deliver projects to deploy those solutions and therefore create skills to be able to do that. Goal here is to employ solution architects that work with GSIs to help them create solutions, successfully engage with the customers and create skills in volumes in their delivery teams to be able to address customer needs and respond quickly. Your role and responsibilities Our solution architects are expected to drive patterns versus products. Therefore, all existing solution architects should be able to expand themselves to fit into hybrid cloud patterns and continue to add value. Common skill requirements for Solution Architects: 10 to 15 years of industry experience with preferred experience of at least 5 years of solution architecture (understand customer problems and devise solutions) Established strength of being able to engage with clients and communicate effectively as a subject matter expert Prior experience of working with a system integrator and building solution offerings is a plus Good knowledge of trending technologies e.g. AI, Security, Cloud (IBM Cloud preferred) Hands-on with technology and being able create demo assets and showcase to customers, conduct PoCs, run enablement sessions Interface with Ecosystem Lab teams and Technology teams to support System Integrators in procuring tech resources to build technical assets. Ability to interlock, understand and engage with various senior executives of key BUs within IBM (Eg: IBM Consulting) to create value prop, content and assets to drive Mainframe skills, capabilities and expertise for client engagements. Required education Bachelors Degree Preferred education Masters Degree Required technical and professional expertise Over 10+ years of experience in working with integration technologies. At least 3 to 5 years of working with IBM z/OS Systems, Managing Z Security or Z Performance Management. Good knowledge of OpenShift, Cloud and container technologies, Knowledge of Cloud Paks is a plus. Working knowledge on IBM Cloud (Administration skills and User / resource management) would be a great plus or a learning requirement for this role. Solution architect for Z would primarily perform one or more of the following Co-creation of solutions with GSI partners Development of customizable solution offerings covering various SI personas GSI consumable collateral, Frameworks, Accelerators etc. that are subsequently customized by SIs for their use. Creation of Industry solution accelerators Education / Enablement of GSIs with new solutions or new offerings. Support GSIs during internal or client POCs Support joint technical engagements with clients. Preferred technical and professional experience Hands on skills on Software Installation / Maintenance on System Z , System Administration, Performance Tuning tasks would be a plus. Working knowledge of cloud services that are a key part of REST API driven integration architecture and administrative skills on cloud platforms preferred.

Job Title: ServiceNow ITOM/AIOps Implementation Specialist Location: Chennai/Bangalore Experience: 9 to 12 years Company: Mindsprint Job Summary: Mindsprint is looking for a talented ServiceNow ITOM/AIOps Implementation Specialist to join our innovative team. The ideal candidate will have a strong background in implementing and optimizing IT Operations Management (ITOM) and AIOps solutions using the ServiceNow platform. You will be responsible for deploying, configuring, and maintaining ServiceNow ITOM/AIOps modules to enhance operational efficiency and drive intelligent automation. Key Responsibilities: Implement and configure ServiceNow ITOM/AIOps modules, including Discovery, Event Management, Service Mapping, and Operational Intelligence. Integrate ServiceNow ITOM/AIOps solutions with other IT systems and tools. Collaborate with stakeholders to gather requirements and translate them into technical specifications. Develop workflows, scripts, and automation rules to streamline IT operations. Monitor and optimize the performance of ITOM/AIOps solutions. Provide technical support and troubleshooting for ServiceNow ITOM/AIOps applications. Maintain documentation for configurations, processes, and procedures. Stay updated with the latest ServiceNow features and best practices in ITOM and AIOps. Qualifications: Bachelor's degree in Computer Science, Information Technology, or related field. 9 to 12 years of experience in ServiceNow ITOM/AIOps implementation and configuration. Strong understanding of ITOM and AIOps processes and best practices. Proficiency in JavaScript, PowerShell, and other scripting languages. Experience with ServiceNow modules such as Discovery, Event Management, Service Mapping, and Operational Intelligence. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. ServiceNow Certified Implementation Specialist or similar certification is a plus.

We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud!? We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation!? The IZOT product line includes BMCs Intelligent Z Optimization & Transformation products, which help the worlds largest companies to monitor and manage their mainframe systems. The modernization of mainframe is the beating heart of our product line, and we achieve this goal by developing products that improve the developer experience, the mainframe integration, the speed of application development, the quality of the code and the applications security, while reducing operational costs and risks. We acquired several companies along the way, and we continue to grow, innovate, and perfect our solutions on an ongoing basis. BMC is looking for a talented and passionate Senior Product Manager to join our IZOT team! In this role, you will define the future vision for the product line, analyze business opportunities, specify, and prioritize customer requirements, direct product development teams, define pricing, and support successful commercial outcomes throughout the product lifecycle. As product manager, you will be an expert on the product, market, and related business domains. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Work closely with enterprise customers, prospects, sales, presales, and customer success to understand current pain points and potential future requirements Collaborate with development and QA, solutions marketing, and support teams to ensure that solutions are delivered to plan, the sales teams are enabled, and customers are satisfied. Serve as the primary liaison between customers and the R&D team, ensuring alignment of product development efforts with customer needs and market demands. Help plan product deliveries, including documenting detailed requirements, scheduling releases, and publishing roadmaps. Conduct thorough market research, customer interviews, and analysis of feedback to prioritize features and enhancements, ensuring alignment with customer needs, market trends, and long-term strategic objectives. Define product vision, strategy, and success metrics, monitoring key performance indicators (KPIs) to track product performance and customer satisfaction. To ensure youre set up for success, you will bring the following skillset & experience: 5 + years of product management or technical product ownership experience in enterprise software. Demonstrated success working with engineering teams to deliver features in Agile environments. Familiarity with AI/ML technologies or automation platforms; experience with GenAI a plus. Excellent organizational skills and ability to manage multiple workstreams in a complex environment. Strong written and verbal communication skills, with a focus on clarity and collaboration. Whilst these are nice to have, our team can help you develop in the following skills: Experience working with LLMs or GenAI-powered applications. Knowledge of enterprise DevOps, AIOps, mainframe tools, or hybrid IT environments. Background in software engineering or technical delivery roles.

What youll be doing Youll be part of the Global Infrastructure organization that provides end user support to the workforce in Verizon India. As a Sr Manager of the End User Support team, youll be responsible for the following. Identifying, diagnosing, and resolving the issues in computer hardware and software in a system such as laptops and PCs Working with other infrastructure stakeholders and collaborate with them to address issues around Desktop packaging & distribution, CITRIX VDI & computer networking Building and nurturing high performing teams & Stakeholder collaboration to address Providing ongoing performance feedback, coaching, training and development. Adapting industry leading practices in service management and infrastructure enablement to improve cost of operations and operate with high service levels and customer satisfaction scores. Analyzing employee journey and embarking on transformative initiatives to enhance employee experience Be flexible to work in shifts based on business requirements Mentoring & Coaching the team technically for unresolved issues Stakeholder management, User experience focus, vendor management. Leading virtual teams and be accountable for Support teams Availability Handling escalations Adhoc requests Performance management & Stack ranking Tracking KPIs & Monitoring AYS dashboards for insights Creating executive level dashboards & drive meaningful partnership Manage complex projects and programs Providing desktop support, project coordination, imaging/ re-imaging PCs, and laptops. Coordinating with the third-party service provider for timely repair of the system under the maintenance agreement warranty, and repairing minor flaws in hardware if not covered under the same. Providing assistance in installation of other peripherals like printers, scanners, etc., cabling systems like local area network cables, network interface cards, wired switches, etc. Developing strategies, assisting with designs and applications, software testing, development for preventing a technical breakdown in future. Monitoring and analyzing the performance of an upgraded/changed system, keeping track of its performance, reliability, risks, and benefits. Strengthen Employee Engagement and build a culture of learning & innovation Bringing new ideas and process improvements To reduce ticket Volume To provide better employee experience What were looking for You'll need to have: Bachelors degree or four or more years of work experience. Six or more years of experience in IT Infrastructure support Experience in providing IT support for desktops, printers, peripherals and mobile devices Possess an engineering-centric background and a user first mindset Good communicator with presentation, Interpersonal and Problem solving skills. Program Management skills and an ability to influence internal and external stakeholders without exercising authority Experience in Service Now Tool reporting and usage Even better if you have: Certified ITIL v3 and above Infrastructure certifications such as CCNA, Citrix, Virtual Desktops etc. Good knowledge in Python, Powershell, Looker, Grafana, Splunk Good knowledge in AIOPS

Overview In this role, we are seeking a Senior Manager Offshore Program & Delivery Management to oversee program execution, governance, and service delivery across DataOps, BIOps, AIOps, MLOps, Data IntegrationOps, SRE, and Value Delivery programs. This role requires strong expertise in offshore execution, cost optimization, automation strategies, and cross-functional collaboration to drive operational excellence. Manage and execute DataOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Oversee real-time monitoring, automated alerting, and self-healing mechanisms to improve system reliability and performance. Develop and enforce governance models and operational frameworks to streamline service delivery and execution roadmaps. Drive standardization and automation of pipeline workflows, report generation, and dashboard refreshes to enhance efficiency. Collaborate with global teams to support Data & Analytics transformation efforts and ensure sustainable, scalable, and cost-effective operations. Support proactive issue identification and self-healing automation, enhancing the sustainment capabilities of the PepsiCo Data Estate. Responsibilities Manage and oversee offshore teams delivering DataOps, BIOps, Data IntegrationOps, FinOps, AIOps, MLOps, and SRE initiatives to drive operational excellence. Implement governance frameworks, define KPIs, and establish operational SLAs to ensure efficiency and quality in offshore execution. Drive process standardization, cost optimization, and automation adoption to enhance service scalability and effectiveness. Collaborate with onshore teams, business leaders, and stakeholders to ensure seamless execution and alignment of offshore deliverables with business goals. Optimize resource utilization by leveraging automation and AI-driven insights to improve productivity and streamline operations. Ensure continuous improvement, risk mitigation, and compliance adherence across offshore programs to maintain operational integrity. Act as a key liaison between IT, business leaders, data stewards, and compliance teams to ensure alignment with regulatory and security requirements. Monitor and enhance end-to-end Data Operations and sustainment processes, including testing, monitoring, and support for global data products. Manage day-to-day DataOps activities, ensuring adherence to SLAs, incident resolution, and engaging with SMEs to meet business demands. Contribute to work intake and Agile management processes, supporting data platform teams in executing strategic initiatives effectively. Foster strong relationships with senior stakeholders and executives, ensuring transparency, proactive risk assessment, and continuous communication. Collaborate across teams to address cloud infrastructure and data service challenges, ensuring high system availability and performance. Develop and automate operational policies and crisis management functions to minimize downtime and enhance incident response. Champion a customer-obsessed culture, advocating for high-quality service delivery and continuous process enhancements. Build and develop a high-performing team, fostering a diverse and agile work environment that aligns with business objectives. Adapt quickly to changing priorities, ensuring teams remain productive and focused on key deliverables. Leverage cloud and high-performance computing expertise to establish trust, drive innovation, and enhance the overall customer experience. Qualifications 12+ years of technology experience in a large-scale global organization, preferably in the CPG industry. 8+ years of experience in Data & Analytics, with a strong understanding of data engineering, data management, and operations. 7+ years of cross-functional IT experience, collaborating across multiple teams and stakeholders. 5+ years of leadership/management experience, overseeing teams and driving operational excellence. Familiarity with Site Reliability Engineering (SRE) principles, including automated issue resolution and scalability improvements. Excellent communication skills, with the ability to empathize with stakeholders and explain technical issues to varied audiences. Strong customer focus, advocating for end-user needs and delivering high-quality experiences. Proactive problem-solving mindset, taking ownership of issues and driving resolution. Ability to learn and adapt in a fast-paced environment, staying up to date with emerging technologies and methodologies. Experience in technical support and operations for mission-critical solutions in a Microsoft Azure environment. Familiarity with Site Reliability Engineering (SRE) principles, including automated issue resolution and scalability improvements. Proven ability to drive operational excellence, ensuring stability and performance in complex enterprise environments. Experience managing large-scale operational services in dynamic and evolving technology landscapes. Strategic thinking capabilities, focusing on cost efficiency, operational effectiveness, and delivery speed. Ability to develop and execute strategic plans, aligning technology roadmaps with business objectives. Strong relationship-building skills, fostering trust and collaboration across IT and business functions. Proven ability to align business and IT priorities, identifying mutually beneficial solutions. Experience leading cross-functional and virtual teams, effectively communicating vision and objectives. Demonstrated success in delivering high-impact results in complex and transformational projects. Experience with multi-country/global implementations, particularly involving data and analytics. Understanding of master data management, data governance, and analytics frameworks. Knowledge of data acquisition, data cataloging, and data management tools. Strong influencing and negotiation skills, with the ability to engage and persuade stakeholders at all levels.

Job Title: DevOps ( AIOps ) Location: Pune/Bangalore/Chennai/Coimbatore Experience: 5 to 8 Years Work Mode: WFO (FTE) Notice Period: Immediate to 15 days Mandatory Skills: DevOps, AIOps, AI Models, Terraform, Kubernetes, Docker, Python or Bash, CI/CD. Key Responsibilities: Design and implement AI infrastructure, including model deployment pipelines, monitoring systems, and automated workflows. Optimize and tune AI models for performance, scalability, and efficiency in production settings. Stay up-to-date with the latest advancements in AI Ops, DevOps, and cloud technologies, and recommend their adoption to improve efficiency and effectiveness. Desired Skillset: Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Experience with containerization technologies such as Docker and orchestration tools like Kubernetes. Solid understanding of GPU usage and management along with networking, security Proficiency in scripting and programming languages like Python and Bash o Familiarity with CI/CD tools (e.g., GitLab CI/CD) and configuration management tools (Terraform). Understanding of AI concepts, machine learning frameworks, and model deployment techniques Technical Skills (Must have) Cloud Platforms: Experience with AWS, Azure or Google Cloud. GPU Management: Knowledge of GPU usage, networking, and security. Containerization: Proficiency in Docker and Kubernetes. Scripting & Programming: Skills in Python and Bash. CI/CD & Configuration Management: Familiarity with GitLab CI/CD and Terraform. AIOps: AI model deployment techniques, monitoring systems, automated workflows. Optimizing & performance tuning of AI models for production. If anyone are intrested please share your updated resume (soniyak@upwardiq.com) Please fill the below details: Total Experience: - Relevant Experience: - Exp in AWS- Exp in DevOps - Exp in AIOps - Exp in Ai Tools- Exp in Docker- Exp in Kubernetes- Exp in Python - Exp in CI/CD- Exp in AI Models - Exp in Terraform- Any Certification: - LinkedIn Id: - Current CTC - Expected CTC- Last Working Day/Notice period - Notice period (Negotiable)- Current Location - Preferred Location - Holding Offer - Any Pipelines- (Please mention about your pipelines clearly)- How soon can you join- Reason for leaving previous company- Are you okay with the Location-

Role Purpose The purpose of the role is to create exceptional architectural solution design and thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. Do 1.Develop architectural solutions for the new deals/ major change requests in existing deals Creates an enterprise-wide architecture that ensures systems are scalable, reliable, and manageable. Provide solutioning of RFPs received from clients and ensure overall design assurance Develop a direction to manage the portfolio of to-be-solutions including systems, shared infrastructure services, applications in order to better match business outcome objectives Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution design framework/ architecture Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology Define and understand current state solutions and identify improvements, options & tradeoffs to define target state solutions Clearly articulate, document and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps Evaluate and recommend solutions to integrate with overall technology ecosystem Works closely with various IT groups to transition tasks, ensure performance and manage issues through to resolution Perform detailed documentation (App view, multiple sections & views) of the architectural design and solution mentioning all the artefacts in detail Validate the solution/ prototype from technology, cost structure and customer differentiation point of view Identify problem areas and perform root cause analysis of architectural design and solutions and provide relevant solutions to the problem Collaborating with sales, program/project, consulting teams to reconcile solutions to architecture Tracks industry and application trends and relates these to planning current and future IT needs Provides technical and strategic input during the project planning phase in the form of technical architectural designs and recommendation Collaborates with all relevant parties in order to review the objectives and constraints of solutions and determine conformance with the Enterprise Architecture Identifies implementation risks and potential impacts 2.Enable Delivery Teams by providing optimal delivery solutions/ frameworks Build and maintain relationships with executives, technical leaders, product owners, peer architects and other stakeholders to become a trusted advisor Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams Recommend tools for reuse, automation for improved productivity and reduced cycle times Leads the development and maintenance of enterprise framework and related artefacts Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams Ensures architecture principles and standards are consistently applied to all the projects Ensure optimal Client Engagement Support pre-sales team while presenting the entire solution design and its principles to the client Negotiate, manage and coordinate with the client teams to ensure all requirements are met and create an impact of solution proposed Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor 3.Competency Building and Branding Ensure completion of necessary trainings and certifications Develop Proof of Concepts (POCs),case studies, demos etc. for new growth areas based on market and customer research Develop and present a point of view of Wipro on solution design and architect by writing white papers, blogs etc. Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits Be the voice of Wipros Thought Leadership by speaking in forums (internal and external) Mentor developers, designers and Junior architects in the project for their further career development and enhancement Contribute to the architecture practice by conducting selection interviews etc 4.Team Management Resourcing Anticipating new talent requirements as per the market/ industry trends or client requirements Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team

Required: 18+ yrs in Mainframe tech, 3–5 yrs leading large AMS projects. Must know automation, Gen AI, virtual assistants, observability, AIOps. Prior AMS service leadership experience essential. Must have technical leadership and people management.

BMC Helix Operation Management 8+ years hands on experience in Implementing / Administering and configuring BHOM. Should have good communication and customer interaction skills. Should have extensive expertise in Implementation\High Level and Low-Level Design Documentation of BHOM. Install and configure the BMC Helix Operation Management platform, including components and integrations. Experience in integrating with AD / SSO and configuring Role based access control. Implementation knowledge on Dynamic Service Modelling. Experience with BHOM Intelligent Integrations in ingesting metrics, events, and topology data from multiple sources (Dynatrace, Datadog, Solarwinds, AppDynanics, vRops). Experience in configuring event correlation strategies between multiple 3rd party tools (AppDynamics, SolarWinds, Splunk etc). Extensive knowledge on Service-centric monitoring (Monitor infrastructure from end to end, including views of business service). Experience in developing and applying event deduplication and suppression techniques. Experience in integrating with ticketing tool (ServiceNow, BMC Helix ITSM etc). Creating Policies, understanding of Patrol Agents and how they work, understanding of MRL rules. Experience in consolidating ingestion of log from multiple sources into one centralized platform. Knowledge on BMC Helix Intelligent Automation. Experience with API integrations. Experience in Developing dashboards and reports that provide actionable insights into key metrics. Collaborate with other support teams and stakeholders and resolve complex technical issues in a timely manner. Experience in conducting workshops and training sessions for client teams. Experience with Windows, UNIX, and Linux operating systems. Knowledge of cloud technologies, networking, and database concepts. Create and maintain technical documentation, including troubleshooting guides, knowledge base articles, and solution templates.