Vector Databases Jobs in Bengaluru

Staff Engineer - Software Development (Cloud AI & Network Security) Location: Bengaluru Company: Aviatrix Experience Required: 7+ Years About Aviatrix: Aviatrix is a global leader in cloud network security, trusted by over 500 enterprises. We provide a specialized platform for securing multi-cloud environments, giving organizations the control and visibility needed to modernize their cloud strategies. Architectural Focus & Impact As a Staff Engineer, you will architect and deliver advanced AI-driven network security solutions. This role bridges the gap between Distributed Systems (Python/Go), Real-time Telemetry, and LLM-integrated automation to build self-learning, adaptive security infrastructures. Technical Expertise Core Software Engineering: Languages: Deep proficiency in Python and Go (Golang). Distributed Systems: Mastery of Kubernetes, Microservices, and high-scale observability (Prometheus, ELK). Data Pipelines: Experience with real-time stream processing using Kafka, Flink, Kinesis, or Pub/Sub. Networking & Security Domain: Cloud Infrastructure: Expert knowledge of VPC/VNet design, Routing, Load Balancers, and Overlays. Firewall Technologies: Hands-on with Deep Packet Inspection (DPI), NGFW/IDS/IPS, and Cloud-native firewalls (AWS, Azure, GCP). Security Frameworks: Alignment with Zero Trust, NIST CSF, and CIS Benchmarks. AI & Machine Learning Integration: Model Serving: Experience serving ML models via REST or gRPC. Generative AI: Familiarity with LLM integration, RAG (Retrieval-Augmented Generation), LangChain, and vector databases. Key Responsibilities System Architecture: Lead the design of cloud-native microservices for security control planes. AI-Driven Features: Integrate LLMs for Natural Language-to-Firewall Rule translation and automated incident summarization. Technical Leadership: Mentor junior engineers and set high standards through rigorous Design and Code Reviews. Cross-Functional Collaboration: Partner with Data Scientists and Cloud Networking teams to deliver production-grade AI features. Benefits & Why Join Us Regional Package: Comprehensive pension, private medical coverage, and life assurance. Wellbeing: Annual wellbeing stipend and generous holiday allowance. Growth Culture: We value unique career paths and prioritize candidates who are passionate about the intersection of AI and Security.

Solution Engineer Experience: 3 5 Years Location: Mumbai About VuNet VuNet is a trailblazer in Business Journey Observability, leveraging Big Data and Machine Learning to transform digital experiences in the financial services sector. Our platform provides end-to-end visibility into customer journeys, driving proactive issue resolution, operational resilience, and enhanced user satisfaction. With over 28 billion digital transactions monitored monthly, we re already empowering leading banks and financial institutions to improve their digital operations, touching over 300 million users globally. VuNet is Series B funded, part of NASSCOM DeepTech Club, and recognized in Forbes DGEMS 200 and by global analysts such as Gartner and Omdia. Your Role: Solution Engineer We are looking for a Solution Engineer who will serve as a trusted advisor for our customers, understanding their business needs and translating them into actionable solutions using our VuSmartMaps platform. You will collaborate closely with customers to optimize their business processes, IT landscape, and overall customer experience by leveraging advanced observability and analytics capabilities. As a Solution Engineer, you ll work across a diverse range of technologies, from applications and networks to databases and business domains. You ll be instrumental in ensuring that our solutions deliver measurable value, maximize ROI, and help customers gain deeper insights into their infrastructure and application performance. Roles & Responsibilities End-to-End Solution Design: Work across a broad range of infrastructure domains network, compute, storage, databases, applications, transactions, and business domains to design integrated observability solutions tailored to customer needs. Leverage Big Data & AI: Use the Big Data and AI-driven features of VuSmartMaps to provide insights into application performance, enhancing business outcomes and end-user experiences. Customer Collaboration: Engage with customer teams and stakeholders to understand their pain points, gather requirements, and design custom solutions and integrations. Solution Architecture & Validation: Develop detailed design documents for solutions and collaborate with internal engineering teams to validate and refine designs. Identify Critical Metrics: Analyze customer application architectures and transaction workflows to identify key touchpoints, critical metrics, and monitoring requirements. Business Insights & Recommendations: Use analytics to provide actionable insights and business recommendations, helping customers improve system performance and optimize workflows. Platform Implementation: Oversee the planning and execution of platform implementation at customer sites, ensuring smooth and successful deployment. Product Development Feedback: Work with the product team to develop new features, identify bugs, and address solution gaps based on customer feedback and your findings. Continuous Learning: Keep up to date with emerging technologies such as Big Data, NoSQL databases, Elastic Search, MongoDB, and DevOps practices, and apply these learnings to enhance our offerings. What You Bring Experience: At least 3+ years of experience in IT infrastructure, observability, or APM (Application Performance Monitoring). Infrastructure Expertise: Hands-on experience working with large-scale IT infrastructures, including applications, databases, networks, and transactions. Monitoring & Automation Tools: Experience with monitoring tools, automation platforms, and an understanding of observability principles. Scripting Skills: Proficiency in scripting (Python, Bash, or similar languages). Technology Familiarity: Knowledge or experience in technologies like Elastic Search, MongoDB, Big Data, SQL databases, ELK stack, REST APIs, JMX, and related observability tools. Good to Have Certification: CKA (Certified Kubernetes Administrator) certification is a plus. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India. As part of our team, you ll tackle some of the most exciting and complex challenges in the tech world, all while staying ahead of the curve with emerging technologies like Gen AI. Collaboration & Innovation: We re a team of passionate problem-solvers who thrive on collaboration, learning, and innovation. We embrace a high-trust, transparent workplace culture where you can take ownership, grow, and make a meaningful impact. Growth & Development: If you re excited to work with cutting-edge technology, drive real-world impact, and grow in your career, VuNet is the place for you. Benefits for You Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A learning culture that promotes growth, innovation, and ownership. Transparent and inclusive workplace culture that values high trust. Access to Gen AI and integrated technology workspaces. Career development programs to enhance your skills through continuous training and support.

Principal Associate Full Stack Engineering (GenAI Observability) Location: Bangalore Company: Capital One India About Us At Capital One India, we re tackling some of the most complex problems in financial services using machine learning, advanced analytics, and cloud-first engineering. Our mission is to build cutting-edge, patentable solutions that transform customer experiences, enhance operational efficiency, and ensure robust risk and compliance standards. We re a team of makers, breakers, doers, and disruptors obsessed with turning data into real-world impact at scale. About the Team Machine Learning Experiences (MLX) The MLX team is pioneering the future of model governance, ML observability, and Generative AI infrastructure at Capital One. We re enabling teams to seamlessly deploy ML and GenAI models at scale, with full visibility into performance, health, compliance, and ethical usage. This is the platform powering the next generation of AI-driven financial products across the company. About the Role We re looking for a Principal Associate Full Stack Engineer to lead the development of observability platforms for Generative AI systems. You ll be part of a cross-functional team focused on governance automation, LLM monitoring, and intelligent diagnostics using telemetry data, metadata, and advanced analytics. You ll design systems to collect, analyze, and visualize performance data from our large-scale GenAI infrastructure, helping data scientists and engineers make faster, safer decisions. What You ll Do Lead architecture and development of observability tools and dashboards for monitoring GenAI models and platform health. Design and build core APIs and SDKs to instrument large language models (LLMs) and foundational models (training, fine-tuning, prompting stages). Integrate Generative AI to enable observability features like anomaly detection, predictive analytics, and copilot-assisted troubleshooting. Partner with platform, MLOps, and governance teams to ingest and analyze telemetry, metadata, and runtime metrics at scale. Drive development of tools to ensure compliance with AI ethics, data governance, and industry regulations. Collaborate with product, design, and research to turn complex requirements into scalable, cloud-native software solutions. Lead proof-of-concept initiatives to test and showcase how GenAI can improve platform observability and decision-making. Contribute to the open-source community and stay at the forefront of GenAI and ML infrastructure evolution. Basic Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or related field 4+ years of experience building distributed, data-intensive systems using microservices architecture 4+ years of experience in backend development with Python, Go, or Java 4+ years of expertise with observability stacks (Prometheus, Grafana, ELK) and adapting them for AI systems Strong knowledge of OpenTelemetry, and experience building custom SDKs and APIs 5+ years of hands-on experience with Generative AI models, especially applied to observability, governance, or compliance 2+ years of experience with cloud platforms such as AWS, Azure, or GCP Preferred Qualifications 4+ years building and optimizing ML systems in production environments 3+ years of experience with MLOps tools like MLflow, Kubeflow, or commercial platforms Experience with GenAI frameworks and libraries like LangChain, Haystack, and vector databases (FAISS, Chroma, OpenSearch) Familiarity with emerging observability tools for LLMs such as Langfuse, Phoenix, Helicone, or OpenInference Contributor to open-source GenAI or ML infrastructure projects Author or co-author of published work in AI/ML observability, governance, or performance monitoring Experience with PyTorch, TensorFlow, Spark, or Dask Knowledge of NVIDIA GPU telemetry, CUDA programming, and performance optimization for AI workloads Understanding of AI ethics, data governance, and regulatory frameworks for machine learning systems Why Join Capital One India Work at the intersection of technology, AI, and compliance helping shape the future of responsible AI Join a team driving enterprise-wide adoption of Generative AI Collaborate with world-class engineers, data scientists, and product leaders Enjoy a high-performance culture that encourages innovation, learning, and mentorship Access to cutting-edge tools, open-source contributions, and cloud-native infrastructure Qualification : Bachelors or Masters degree in Computer Science, Engineering, or related field

Position: Associate Marketing Department: Marketing Extension Location: Bengaluru Role Overview: We are looking for a diligent Associate Marketing professional to manage vendor registrations, monitor government tenders, coordinate with the marketing team on stock and payments, and ensure smooth documentation and follow-up processes. Key Responsibilities: Manage the entire vendor registration process with various vendors. Track announcements of tenders by government organizations and agencies relevant to our products. Prepare and submit tenders to government sector customers accurately and timely. Monitor daily stock levels and coordinate with the marketing team to expedite dispatch of materials that have been in stock for over 7 days. Follow up with marketing team members to finalize comments on NDA drafts issued by customers. Maintain organized files of all important and relevant documents. Follow up on payment collections (receivables) with the marketing team to ensure timely receipt. Circulate monthly statements on overdue payments and receivables to the marketing team, regularly following up to ensure payments are collected within deadlines. Monitor payments related to dispatches made with cash discounts under special approvals, ensuring timely collections. Coordinate with the marketing team to recover overdue interest payments from customers. Qualifications: Bachelor s or Master s degree in Commerce (B.Com./M.Com.) or equivalent qualification. Strong organizational and communication skills. Detail-oriented with good follow-up and coordination abilities. Ability to work collaboratively with cross-functional teams. Qualification : Bachelors or Masters degree in Commerce (B.Com./M.Com.) or equivalent qualification.

Position: Senior Data Scientist LLM Location: Bangalore, Karnataka, India Type: Full-Time (On-site) Experience Required: 2+ years in Deep Learning, 1+ years in LLMs Industry: Healthcare AI Company Overview: 5C Network is pioneering multi-modal AI systems for autonomous diagnosis in medical imaging. We're building next-generation models that integrate deep learning with language understanding to revolutionize clinical workflows and diagnostic accuracy. Role Summary: As a Senior Data Scientist LLM, you will lead the development and deployment of Large Language Models (LLMs) focused on enhancing medical imaging diagnostics. You ll work on cutting-edge problems such as instruction fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG), while ensuring scalability and robustness in production environments. Key Responsibilities: LLM Development & Fine-Tuning Design and optimize prompts for diverse clinical and imaging-related use cases. Perform instruction fine-tuning of LLMs to meet task-specific requirements. Develop reasoning pipelines including Chain of Thought (CoT) techniques for complex diagnostic workflows. LLM Deployment & Optimization Self-host and deploy LLMs in secure, scalable production environments. Apply quantization and other performance optimization methods to minimize compute and memory footprint. Ensure high performance, uptime, and security in AI deployments. Retrieval-Augmented Generation (RAG) & Vector Databases Develop and implement RAG pipelines by integrating LLMs with semantic search. Work with vector databases (e.g., Qdrant) to enable fast, efficient retrieval of contextual data. Optimize data storage, indexing, and retrieval to support clinical applications. Data Engineering & Annotation Build and manage high-quality datasets tailored for CoT and multi-step reasoning tasks. Lead data annotation efforts to enhance LLM understanding of medical contexts. Collaboration & Research Collaborate with researchers, ML engineers, and domain experts to bring LLM solutions from prototype to product. Stay ahead of the curve by experimenting with novel LLM architectures and emerging techniques. Qualifications: Bachelor's or Master s degree in Computer Science, Data Science, AI, or a related field. 2+ years of hands-on experience in deep learning. Minimum 1 year of experience working with LLMs (e.g., instruction tuning, prompt engineering, RAG). Prior experience in LLM deployment (self-hosting, optimization, quantization, scaling). Proficient in Python and common ML frameworks (e.g., PyTorch, Hugging Face Transformers). Familiarity with vector databases like Qdrant or similar. Strong interest or prior exposure to healthcare/medical AI. Excellent problem-solving, communication, and team collaboration skills. Technical Stack: Languages: Python Frameworks: PyTorch, Hugging Face Technologies: LLMs (e.g., GPT, LLaMA), Vector Databases (Qdrant), RAG, Quantization Tools: Docker, Kubernetes, REST APIs, Git Work on high-impact AI solutions in the healthcare domain. Collaborate with a team at the forefront of multi-modal diagnostic technology. Access cutting-edge tools and real-world data to drive innovation. Qualification : Bachelor's or Masters degree in Computer Science, Data Science, AI, or a related field.

Solution Architect Industrial Agents Location: Bengaluru Team: Global Strategic Services Architecture Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader transforming industrial operations with cutting-edge AI and data solutions. Our key offerings including Cognite Atlas AI and Cognite Data Fusion (CDF) help industrial companies solve complex problems, improve efficiency, and make data-driven decisions at scale. Recognized as the 2024 Microsoft Energy & Resources Partner of the Year and the 2022 Technology Innovation Leader for Global Digital Industrial Platforms, we are reshaping the future of digital transformation across sectors like Oil & Gas, Manufacturing, Chemicals, Pharma, and Energy. Our Values Impact: We focus on delivering meaningful, real-world outcomes. Ownership: We take responsibility, embrace inclusivity, and step outside our comfort zones. Relentless: We pursue innovation with energy and integrity never ruthless, always responsible. Role Overview As a Solution Architect Industrial Agents, you will lead the design and development of advanced AI agent frameworks built on Cognite Data Fusion, Atlas AI, and cutting-edge generative AI technologies. You ll enable clients to deploy intelligent agents that autonomously manage and optimize complex industrial systems. This role requires deep expertise in AI, multi-agent systems, and data integration, with a focus on building repeatable, scalable, and production-ready solutions. You ll work closely with engineering, product, customer success, and global delivery teams to ensure successful implementations that create real customer value. What You'll Do Architect robust, scalable solutions that integrate Cognite platforms with AI agent frameworks. Design multi-agent systems using technologies like LangChain to solve real-world industrial problems. Lead the development of Retrieval-Augmented Generation (RAG) systems and intelligent prompt engineering. Implement and optimize vector databases (e.g., Pinecone, Weaviate, Faiss) for advanced semantic search and retrieval tasks. Guide data modeling and integration using Python, SQL, REST APIs, and Cognite s SDKs. Provide technical leadership and mentor engineers across AI and platform teams. Work with cross-functional teams to define requirements, develop prototypes, and launch production-ready solutions. Stay ahead of AI trends especially in generative AI, agent orchestration, reinforcement learning, and time series analysis. Collaborate with product and delivery teams to shape Cognite s evolving AI product suite. What You Bring 10+ years in software engineering, including 5+ years in AI and 2+ years in generative AI or intelligent systems. Proven hands-on experience with multi-agent systems (especially using LangChain or similar frameworks). Strong grasp of RAG architecture, knowledge graphs, and graph databases (e.g., Neo4j, RDF). Proficiency in Python (must-have), and optionally JavaScript or Java. Experience in vector database architecture, embedding creation, and high-performance similarity search. Deep understanding of LLMs, fine-tuning techniques, and prompt engineering. Familiarity with cloud environments (AWS, Azure), CI/CD, Docker, and Kubernetes. Strong communication and stakeholder management skills. Experience with time series forecasting models (e.g., LSTMs, ARIMA, Prophet) and real-time anomaly detection. Industrial domain experience is a plus but not required. Why Join Cognite Be part of a global team of 70+ nationalities driving the industrial AI revolution. Enjoy a flat organizational structure with direct access to leadership and decision-makers. Thrive in a modern, collaborative, hybrid work environment based in Bengaluru. Work on some of the world s most ambitious digital transformation projects. Join a culture of ownership, creativity, and continuous innovation. If you re passionate about shaping the future of industrial AI through intelligent agent systems, we want to hear from you. Cognite welcomes applicants from all backgrounds and identities.

Private Markets Data Extraction, Aladdin Data Director Location: Bengaluru, Karnataka Team: Data Science Company: BlackRock About the Role We are seeking a tech-savvy leader to head our Private Markets Data Extraction team within the Aladdin Data group. This role involves driving the strategic direction of data initiatives by leveraging cutting-edge technologies like Large Language Models, AI Orchestration Frameworks (e.g., LangChain), Spring, GIT/ADO, Solr, Cassandra, and more. You will work closely with Data, Product, and Technology teams to ensure our data products exceed client expectations in quality and scope, while gaining deep exposure to finance domains such as risk management, valuations, and operations. What You ll Do Develop strategies for automated extraction of data from semi-structured and unstructured sources (e.g., regulatory documents) to build scalable, reusable pipelines. Architect and build extensible data ingestion and extraction platforms accessible to internal teams and customers. Own technical architecture, design principles, and application governance. Manage diverse, global teams of engineers, data scientists, and other tech professionals. Collaborate with cross-office and international teams. Provide expert technical guidance on software design and implementation. Mentor and support career growth for junior team members. What You Need B.S. / M.S. in Computer Science, Engineering, or related field. 12+ years of professional experience with proven leadership. Strong ability to communicate technical strategies clearly. Hands-on experience with Java and Python, object-oriented programming. Experience designing/building APIs and microservices. Expertise with open-source technologies: Spring/SpringBoot, Apache Solr, Protocol Buffers, LangChain, Docker. Experience with relational and NoSQL databases (e.g., Apache Cassandra). Agile team experience with strong problem-solving and rapid learning capabilities. Excellent interpersonal, communication, and presentation skills. Experience mentoring junior engineers. Good to Have Cloud-native development experience (Kubernetes, Docker) and Microsoft Azure. Familiarity with Apache Kafka or other pub-sub frameworks. Experience with Large Language Models (OpenAI LLMs), AI app frameworks, vector databases, NLP. Finance and financial services domain expertise. Benefits & Work Model Comprehensive benefits including retirement plans, tuition reimbursement, healthcare, family support, and Flexible Time Off (FTO). Hybrid work: typically 4 days in-office, 1 day remote with some flexibility depending on business needs. Collaborative culture fostering learning and innovation. About BlackRock BlackRock s mission is to help more people experience financial well-being globally. We invest in our employees to create a welcoming, valued, and supportive environment that encourages growth and impact. Qualification : B.S. / M.S. in Computer Science, Engineering, or related field.

Gen AI Engineer - L1 | Bengaluru, India About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global IT consulting and services company with over 230,000 employees across 65 countries. We offer innovative solutions in consulting, engineering, and operations to solve complex digital transformation challenges. Role Overview We are looking for an experienced Gen AI Engineer - L1 with deep expertise in Generative AI, LLMs, RAG pipelines, and Python-based machine learning frameworks. The role will focus on developing secure, scalable AI systems using modern tools and cloud platforms. Key Responsibilities Design, implement, and optimize generative AI models using LangChain, LLaMA, Hugging Face, etc. Develop RAG pipelines and integrate with LLMs for advanced AI solutions. Create, test, and optimize prompt templates across different base models. Implement guardrails for prompt security to prevent prompt injection, jailbreaks, and leaks. Build efficient backend applications using Python, Django, and related tools. Work with vector databases to enhance generative AI workflows. Collaborate on data grooming and model training across business units. Benchmark model performance and develop auto-prompting systems. Ensure adherence to minimum design standards in prompt engineering use cases. Mandatory Skills Gen AI, LLMs, RAG Pipelines LangChain, LLaMA, Hugging Face Python, TensorFlow, PyTorch, Django NLP, Machine Learning, Deep Learning Vector Database integration Preferred Skills Azure or AWS Cloud Platforms MLOps, Kubernetes GitHub, Bitbucket Experience with GPT-4 Domain exposure in Banking or Financial Services Join Wipro to be part of a company that thrives on innovation, reinvention, and digital excellence. Work on impactful GenAI projects, grow your career, and contribute to shaping the future of AI in real-world applications. We welcome applications from individuals with disabilities.

Gen AI AWS Engineer | Bengaluru, India Experience: 8 10 Years Mandatory Skills: AWS, Generative AI About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global leader in consulting and technology services with over 230,000 employees across 65 countries. We provide digital transformation solutions that are innovative, sustainable, and scalable. Role Overview We are hiring a highly skilled Gen AI AWS Engineer to lead the architecture, development, and delivery of AI-driven cloud solutions. This role focuses on leveraging AWS infrastructure and Generative AI technologies to solve complex business problems at scale. Key Responsibilities Architecture and Solution Design Design and implement scalable AI/ML solutions using AWS and GenAI frameworks. Lead solution design for enterprise initiatives and RFPs. Develop architectural documentation and reusable design patterns. Evaluate current architectures and recommend improvements and modernization plans. Delivery Enablement Provide frameworks and technical direction to development teams. Monitor project risks and propose mitigation strategies. Ensure alignment with architecture principles and best practices. Client Engagement Participate in pre-sales activities and client presentations. Build trusted relationships with clients by demonstrating technical thought leadership. Coordinate with stakeholders to ensure successful delivery of AI solutions. Innovation & Competency Building Create PoCs, whitepapers, and solution demos in GenAI and AWS domains. Represent Wipro s capabilities at industry events and internal forums. Mentor junior architects and contribute to internal upskilling initiatives. Team Management Recruit, train, and retain high-performing AI/ML engineers. Conduct performance reviews and set goals for team members. Drive employee engagement and diversity across the architecture team. Be part of a company that thrives on innovation, reinvention, and purpose. Work with cutting-edge Generative AI solutions and lead impactful transformations for global clients. Applications from individuals with disabilities are explicitly welcome.

Job Title: Associate Software Developer Location: Bengaluru, India Company: IBM Consulting Introduction A career in IBM Consulting is rooted in long-term relationships and close collaboration with clients globally. You will work with visionaries across multiple industries to improve hybrid cloud and AI journeys for the most innovative and valuable companies in the world. Your ability to accelerate impact and create meaningful change for your clients is supported by our strategic partner ecosystem and robust technology platforms across the IBM portfolio, including Software and Red Hat. Curiosity and a constant quest for knowledge are the foundation of success in IBM Consulting. In this role, you ll be encouraged to challenge the norm, explore ideas beyond your direct responsibilities, and come up with creative solutions that result in groundbreaking impacts for a broad network of clients. Our culture of evolution and empathy focuses on long-term career growth and development, providing opportunities to grow in an environment that embraces your unique skills and experiences. You ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we provide deep technical and industry expertise to both public and private sector clients around the world. Our delivery centers enable clients to access locally-based skills and technical expertise, helping drive innovation and the adoption of new technology. Your Role and Responsibilities As an Associate Software Developer at IBM, you will work with clients to co-create solutions for major real-world challenges using best practice technologies, tools, techniques, and products. You will be responsible for translating system requirements into the design and development of customized systems. Your responsibilities will include: System Architecture & Development: Work across the entire system architecture to design, develop, and support high-quality, scalable products and interfaces for clients. Collaboration & Technical Specifications: Collaborate with cross-functional teams to understand project requirements and define technical specifications, particularly for generative AI projects. Design Thinking: Employ IBM s Design Thinking methodology to create products that offer an excellent user experience while ensuring high performance, security, quality, and stability. Database and Framework Expertise: Work with a variety of relational databases (e.g., SQL, Postgres, DB2, MongoDB), operating systems (e.g., Linux, Windows, iOS, Android), and modern UI frameworks (e.g., Backbone.js, AngularJS, React, Ember.js, Bootstrap, and JQuery). Product Development: Create mockups, UI components, algorithms, and data structures as part of delivering viable products for clients. Required Education Bachelor s Degree in Computer Science, Software Engineering, or a related field. Preferred Education Master s Degree in Computer Science, Software Engineering, or a related field (preferred, but not required). Required Technical and Professional Expertise Experience: 3-5 years of professional experience in software development. Technical Solution Translation: Ability to translate business requirements into technical solutions. Open Source Technologies: Familiarity with working in Open Source environments and technologies, particularly Python and Django. Web Services & Frameworks: Exposure to web services, application frameworks, and databases. Cloud Platforms: Familiarity with cloud platforms such as AWS, Azure, IBM Cloud, and Google Cloud. Generative AI Knowledge: Exposure to generative AI methodologies and ethical considerations in AI development. Preferred Technical and Professional Experience Full-Stack Development: Flexibility to work across architecture, building both front-end and back-end solutions. Code Quality and Automation: Help maintain and improve code quality, organization, and automation processes. Version Control: Proficiency in using Git repositories for version control and collaborative development. About IBM Consulting IBM Consulting is IBM s global consulting and professional services business, recognized for its market-leading capabilities in business and technology transformation. With deep industry expertise, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are driven by the power of collaboration, aiming to accelerate clients' business success. At IBM Consulting, we believe in the responsible use of technology to help people, partners, and the planet. Qualification : Masters Degree in Computer Science, Software Engineering, or a related field (preferred, but not required).

Azure Data Engineer IBM Consulting Client Innovation Center Location: Bengaluru, India Experience: 7+ Years (Minimum 4+ Years in Azure Technologies) Job Type: Full-Time Education Required: Bachelor s Degree (Master s preferred) Introduction: Join IBM Consulting at our Client Innovation Center in Bengaluru, where we deliver deep technical and industry expertise to a wide range of public and private sector clients. Our delivery centers focus on innovation, agility, and adoption of next-gen technologies to transform businesses locally and globally. Your Role & Responsibilities: Design and develop scalable data engineering solutions on Microsoft Azure. Build, optimize, and manage data pipelines and ETL workflows using tools like Azure Data Factory, ADLS, and Databricks. Write clean, efficient code using PySpark, PL/SQL, and Spark SQL. Integrate and manage data from various sources, both structured and unstructured. Work with SQL, Postgres, Cassandra, and Cosmos DB. Utilize Azure services such as Stream Analytics, SQL DW, Azure Functions, ARM Templates, and Analysis Services. Implement and maintain serverless architectures for modern data solutions. Ensure high-quality data delivery, security, and compliance across systems. Collaborate across teams and contribute to solution design, code reviews, and documentation. Required Skills & Experience: Bachelor s degree in Computer Science, Information Systems, or related technical field. 7+ years total experience in Data Engineering, with 4+ years in Azure-based data projects. Strong hands-on experience with: Azure Data Factory, Data Lake (ADLS), Databricks Programming: Python, PySpark, PL/SQL, Spark SQL Databases: SQL, Postgres, Cassandra, Cosmos DB Solid grasp of data warehousing, relational databases, and cloud-based architectures. Familiarity with version control tools like Git and CI/CD pipelines. Preferred Skills & Qualifications: Master s Degree in a relevant field. Experience with: ARM Templates, Azure Functions, Serverless Architectures Object-oriented scripting languages (Python, Scala, etc.) Excellent problem-solving and communication skills. Ability to work in a fast-paced environment and collaborate effectively with teams and stakeholders. What You ll Get: Work on high-impact, global projects with cutting-edge Azure technologies. Be part of a collaborative and forward-thinking IBM team. Opportunities for professional growth, upskilling, and certifications. A dynamic work culture focused on innovation, agility, and client success. Join us in Bengaluru and be part of IBM s journey in shaping the future of data engineering. Qualification : Bachelors degree in Computer Science, Information Systems, or related technical field.

Job Title: Pre-Sales Technical Project Manager Digital Transformation Location: Bangalore Experience: 12 18 Years Employment Type: Full-Time Job Overview We are looking for a highly experienced Pre-Sales Technical Project Manager to spearhead proposal efforts, drive solution architecture, and deliver impactful demos for Digital Transformation projects. With 12-18 years of experience in the industry, you will play a pivotal role in understanding client challenges and aligning innovative technology solutions that drive business value. This role requires expertise in modern technologies such as APIs, microservices, databases, DevOps, and AI-driven solutions, along with a proven ability to lead cross-functional teams from concept to contract. You will collaborate closely with Sales, Solution Architects, and Delivery teams to develop strategic, cost-effective solutions that meet complex client needs. If you have a passion for transforming technical concepts into business outcomes and communicating those effectively to a wide range of stakeholders, this is the role for you. Key Responsibilities RFI/RFP Management Lead the development of RFI/RFP responses, crafting solutions that highlight the company's strengths and address client requirements. Ensure all responses are tailored, comprehensive, and demonstrate how our solutions meet client needs. Solution Architecture & Design Collaborate with internal teams to design and document Digital Transformation solutions that incorporate modern technologies like APIs, microservices, databases, DevOps pipelines, and AI. Architect solutions from both a strategic and detailed design perspective, ensuring scalability and alignment with client objectives. Technical Demos & Client Presentations Deliver engaging and informative product/solution demos during pre-sales meetings, clearly articulating technical feasibility and business impact. Customize presentations based on the specific needs and challenges of each client or industry sector. Pricing & Financial Modeling Create and validate pricing models, conducting cost-margin analysis and forecasting the potential ROI for proposed solutions. Present financial insights that align with both the client's business objectives and organizational goals. Risk Identification & Transition Management Identify risks related to solution implementation or transition and work closely with delivery teams to define and execute mitigation strategies. Establish governance frameworks to ensure smooth project transitions and minimize operational disruption. Contractual & Compliance Collaboration Collaborate with Legal, Risk & Compliance, IT Infrastructure, Operations, and Finance teams to ensure alignment on contractual documents such as NDAs, MSAs, SOWs, and LOEs. Ensure solutions adhere to relevant standards, regulations, and compliance requirements. Cross-Functional Collaboration Work closely with internal teams to gather both business and technical requirements, ensuring that all aspects of the solution are comprehensively addressed. Foster strong relationships across Sales, Delivery, and senior leadership to ensure smooth pre-sales collaboration and execution. Knowledge Management & Asset Development Maintain a repository of proposals, case studies, demos, and pre-sales templates. Continuously update and refine assets to improve efficiency and effectiveness in future proposal cycles. Required Skills & Experience Experience 12-18 years of experience in Digital Transformation initiatives, with at least 7-10 years in pre-sales or solutioning roles within IT services or consulting. Technical Expertise Strong knowledge of modern technologies, including APIs, microservices, databases, DevOps (CI/CD, containerization, orchestration), and AI/ML. Proven experience in architecting complex solutions from a high-level strategy and detailed design perspective. Financial & Analytical Expertise Demonstrated experience in building and validating pricing models. Strong capability in cost-margin analysis and ROI forecasting. Contractual & Compliance Knowledge Familiarity with legal and compliance documentation, such as NDAs, MSAs, SOWs, and LOEs. Proven ability to work effectively with legal and compliance teams. Communication & Leadership Exceptional verbal and written communication skills, with the ability to present complex technical information to diverse audiences. Strong leadership capabilities, with experience guiding cross-functional teams and driving consensus in challenging situations. Tool Proficiency Proficiency with tools such as ChatGPT, Microsoft Excel, financial modeling platforms, and proposal documentation tools. Preferred Qualifications Education Bachelor s or Master s degree in Computer Science, Engineering, or a related field. Certifications Cloud certifications (AWS, Azure, GCP), PMP, TOGAF, ITIL, or Agile/Scrum certifications. Industry & Global Exposure Prior experience working with international clients and delivering complex, enterprise-level Digital Transformation initiatives. Background in consulting or IT services with a track record of successful multi-regional engagements. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field.

Job Title: Data Scientist Location: Bengaluru Experience: 4+ Years About Linarc: Linarc is revolutionizing the construction industry. As the emerging leader in construction technology, we are redefining how projects are planned, executed, and delivered. Built for general contractors, construction managers, and trade partners, Linarc offers a next-generation platform that delivers unmatched collaboration, automation, and real-time intelligence to construction projects. Our mission is to eliminate inefficiencies, streamline workflows, and drive profitability, empowering teams to deliver projects faster, smarter, and with greater control. Join us in shaping the future of construction tech. If you thrive in a dynamic, fast-growing environment and want to make a significant impact, Linarc is the place for you. This is a full-time position based in Bengaluru. Roles and Responsibilities: Data Analysis & Modeling: Develop and implement machine learning models to address complex business problems. Build predictive models and algorithms to forecast customer behavior, product usage, and business outcomes. Conduct statistical analysis and hypothesis testing to uncover key insights and trends. Data Engineering & Processing: Clean, preprocess, and transform large-scale datasets from multiple sources. Design and optimize data pipelines for both real-time and batch processing. Business Insights & Reporting: Collaborate with business teams to define key performance indicators (KPIs). Develop dashboards and reports to effectively communicate findings and business performance. Present actionable insights and recommendations to stakeholders and leadership teams. Product Improvement: Partner with product managers to integrate data-driven insights into product features. Monitor model performance and continuously improve accuracy and scalability. Run A/B tests to evaluate the impact of product changes and optimize user experience. Research & Development: Stay updated with the latest developments in machine learning, artificial intelligence, and data science. Explore and implement new techniques and tools to drive innovative solutions and improve outcomes. Qualifications: Minimum Experience: 3 years of professional experience in Data Analytics, Data Science, AI, or Machine Learning. Technical Expertise: Deep analytical expertise in applying statistical solutions to business problems. Experience with exploratory data analysis of large datasets using tools like SQL, Hive, Spark, or similar. Proficiency in machine learning and deep learning tools such as Scikit-learn, TensorFlow, PyTorch, and familiarity with techniques like Neural Networks, Gradient Boosting, Logistic Regression, Decision Trees, Random Forests, Support Vector Machines, Clustering, etc. Experience working with visualization tools such as Tableau and Power BI. Business & Innovation: Demonstrated ability to innovate solutions and solve business problems using data science techniques. Desirable Additional Experience: 4+ years of experience in data science or machine learning in a product-focused environment. Experience working with relational or document databases. Proficiency in C, Python, PyTorch, Java, JavaScript, Node.js, React.js, or Vue.js. Strong knowledge of hypothesis testing and regression analysis. Experience in a SaaS product environment. Educational Qualifications: Bachelor s/Master s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.

Job Title: Business Intelligence (BI) Lead Life Sciences Sector About the Role: As the BI Lead, you will spearhead and develop Business Intelligence (BI) projects within the team, focusing on constructing an analytical data layer, developing custom BI reporting solutions, monitoring platform performance, and enabling self-serve reporting for Regional Business Units (RBU) and Global Business Units (GBU). Your primary responsibility is to deliver high-quality contributions to client projects in the life sciences sector. These tasks will range from basic analysis and problem-solving to assisting in the creation of more complex solutions. You ll demonstrate a comprehensive understanding of pharmaceutical data assets, including IQVIA, CRM, and MCM data, as well as country-specific variations. Key duties include training and upskilling Business Units (BUs) to use the self-serve layer effectively for report and dashboard creation, assessing data requirements for decision-making, and ensuring data accuracy. You ll work closely with engineering and data platform teams to improve data availability and reliability, while collaborating on client proposals and solution strategies. Additionally, you will contribute to documentation and specifications, design presentations, and actively engage in the consulting methodologies and life sciences market to continuously grow your knowledge. Key Responsibilities: Lead BI projects, including building and maintaining an analytical data layer, and developing BI solutions for reporting and visualization. Deliver high-quality, timely contributions to life sciences client projects, ranging from basic analysis to complex solutions. Utilize pharmaceutical data assets (IQVIA, CRM, MCM) and understand regional data variations. Train Business Units (BUs) to efficiently use the self-serve reporting layer for creating reports and dashboards. Assess data requirements, identify suitable data sources, ensure data accuracy, and perform necessary transformations for decision-making. Establish and track business metrics, and perform in-depth process analysis to identify areas for improvement. Collaborate with engineering and data platform teams to enhance data availability and reliability. Review and analyze client requirements, contribute to proposal development, and create tailored client solutions. Create detailed documentation, including specifications and quantitative/qualitative analyses. Present client deliverables within established frameworks, adapting presentations to audience needs. Stay engaged in consulting methodologies, life sciences market trends, and professional development opportunities. Manage project-based responsibilities under the guidance of senior consultants and directors. Desired Candidate Profile: Proficiency in SQL and BI platforms, particularly Power BI (Spotfire knowledge is a plus). Extensive experience with data transformation/ETL, data modeling, and a strong understanding of data platforms and ETL processes. Hands-on experience with Power BI, including the creation of reports, dashboards, and visualizations, and experience in environments such as Salesforce, Snowflake, or Azure. Skilled in migrating SSRS reports/Tabular reports to Power BI Paginated Reports. Advanced knowledge of Power Query M and experience building sophisticated DAX queries. Experience implementing static and dynamic Row Level Security, along with extensive knowledge in dataset design, data cleansing, and aggregation. Understanding of relational database structures, principles, and practices. Solid SQL skills, including the ability to write complex queries and create SQL views for custom datasets. Strong proficiency in Excel, PowerPoint, and Access, with VBA knowledge considered a plus. Proven ability to build relationships with multiple stakeholders (BI engineers, Data Engineers, Consulting teams, Product Managers). Familiarity with Software Development Life Cycle (SDLC) and Agile methodologies. Experience with technical project execution, including proposal writing, creating BRD, PDD, SDD, and user documentation. Excellent verbal and written communication skills. Previous experience in application or implementation support is required. Strong problem-solving skills and a macro-level approach to research and analytics. Good to Have: Experience with other BI technologies (e.g., Tableau, Looker Studio, ThoughtSpot). Knowledge of Python/R. Experience with Microsoft Power Platform tools (e.g., PowerApps, Power Automate). Hands-on experience with Canvas App Configuration, Canvas App Functions, Power Portals, Power Automate Desktop, and custom connectors. Familiarity with Azure services, AI builder, Virtual Agents, and SharePoint list customization. Microsoft Power Platform certification is a plus. Qualifications: Bachelor s or Master s degree in Computer Science, Information Technology, or a related field. 6-8 years of relevant experience. Demonstrated collaborative approach, working effectively across teams to achieve objectives. Knowledge of core business processes and their impact on decision-making and growth. Familiarity with consulting methodologies, tools, and techniques. Up-to-date with current industry trends and insights into competitors and marketplace dynamics. Proficiency in time management, Scrum methodologies, and agile working practices. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or a related field.

Job Overview Join our collaborative and creative group of AI scientists and machine learning engineers as a Senior AI Scientist! In this role, you'll be instrumental in designing, building, and deploying machine learning models in AI-native applications within our Virtual Expert Platform (VEP). You'll directly impact our customers across QuickBooks, TurboTax, Mailchimp, and Credit Karma, developing AI solutions that enhance customer success by blending AI and human expertise. You'll work on some of the most exciting challenges, from forecasting, capacity planning, optimization, and variance analytics, to recommendation systems and decision systems. The solutions you create will be a key part of multi-billion-dollar services like QuickBooks Live and TurboTax Live. Responsibilities Data Analysis & Modeling: Perform hands-on data analysis and build machine learning models using large datasets. Apply data mining, machine learning (both supervised and unsupervised) to improve algorithms related to relevance and personalization. Collaboration: Work closely with product managers, software engineers, and designers to design experiments and develop minimum viable products (MVPs) that leverage AI technologies. Feature Creation & Refinement: Develop features from raw data, continuously refining models to enhance performance. You'll be experimenting with different features and applying your intuition to make improvements. A/B Testing & Optimization: Run A/B tests, collect data, perform statistical analysis, and assess the impact of your optimizations. Communicate the results to both peers and leaders. Product & Service Innovation: Collaborate with business planners to propose innovative AI-driven products and services. Ensure that AI s power is fully integrated into new services. Infrastructure Collaboration: Work with infrastructure architects to streamline systems and improve data governance for agile and responsive data manipulation. Research & Thought Leadership: Introduce cutting-edge academic or industry research to Intuit leadership to solve complex problems and fuel new business opportunities. Mentorship & Community Building: Serve as an advisor and mentor, helping to grow and nurture a vibrant AI practice within the organization. Qualifications Education: MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field. Experience: 5+ years of experience building AI systems using data mining algorithms and statistical modeling techniques, including: Clustering, Classification, Regression, Decision Trees, Neural Networks, Support Vector Machines, Anomaly Detection, Recommender Systems, Sequential Pattern Discovery, Text Mining, and more. 2+ years of experience in a lead or management role within AI/Data Science. Technical Skills: Proficient in Python and familiar with version control systems like Git/GitHub. Experience with distributed computing and distributed databases (e.g., Hadoop, NoSQL, Hive, Pig). Strong understanding of mathematical concepts and the ability to apply them to create original solutions. Preferred: PhD in a related field. Proven experience working with large-scale machine learning techniques and datasets. Deep experience with Hadoop and related programming environments. Strong problem-solving skills and the ability to communicate complex ideas to both technical and non-technical stakeholders. Soft Skills: Excellent communication skills and experience influencing at an executive level. Strong interpersonal skills for collaborating with technical teams and making impactful presentations to diverse stakeholders. This is an exciting opportunity to be part of a highly innovative team at the forefront of AI and machine learning. You'll be solving complex, high-impact problems that directly influence customer experiences across multiple industries. The role offers the chance to lead cutting-edge AI projects while mentoring a talented team and driving the development of transformative AI-powered solutions. Qualification : MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field.

About Oracle FSGIU - Finergy: The Finergy division within Oracle FSGIU exclusively focuses on the Banking, Financial Services, and Insurance (BFSI) sector, providing deep domain knowledge and specialized solutions to address complex financial needs. Finergy has expertise in delivering Accelerated Implementations for BFSI clients, with proven methodologies that fast-track the deployment of multi-channel delivery platforms, minimizing IT intervention and reducing time to market. With personalized tools and end-to-end banking solutions, Finergy tailors customer experiences, offering services in areas like trade, treasury, and cash management, and enhancing operational efficiency with integrated dashboards and analytics. Finergy also provides Expert Consulting Services, ensuring that technology aligns seamlessly with business goals from strategy development to solution implementation. Career Level: IC2 (Individual Contributor 2) Job Responsibilities: Develop .Net-based applications for top clients in the Banking and Financial Services sector. Write and optimize SQL queries as part of application development. Conduct analysis, design, development, and testing in the consulting line of business. Collaborate with cross-functional teams to deliver high-quality solutions. Participate in code reviews to ensure adherence to development standards. Identify and troubleshoot application issues and implement solutions as required. Mandatory Skills: 4-7 years of experience with C# and ASP.Net. Strong understanding of software development processes. Proficiency in C# programming. Experience with SQL and optimizing queries. Strong problem-solving skills and attention to detail. Experience with .Net version 6 and above. Preferred Skills: Experience working in the Banking and Financial Services (BFSI) domain is a plus. Familiarity with cloud-based services and modern development practices. Experience in working with Agile methodologies. About Us: At Oracle, we are committed to driving the future of cloud technology, and our solutions empower organizations across industries to address their most complex challenges. The Finergy division is uniquely positioned to offer comprehensive solutions to the Banking, Financial Services, and Insurance (BFSI) sector, helping our customers enhance operational efficiency and streamline service delivery. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, and protected veterans status, or any other characteristic protected by law.

Job Title: Test Specialist - Middleware Testing Practitioner Introduction: As part of our IBM Consulting Client Innovation Centers (Delivery Centers), you will play a crucial role in delivering deep technical and industry expertise to a wide range of public and private sector clients across the globe. These centers provide locally-based skills to help drive innovation and adoption of new technologies. As a Test Specialist at IBM, your analytical and technical abilities will directly contribute to the quality of the software we deliver. In an agile environment, you ll help elevate each iteration through your testing expertise, ensuring the best possible outcomes for IBM and its clients. Whether the testing is manual, automated, or cognitive, you ll be at the forefront of delivering high-quality software solutions. Your Role and Responsibilities: Middleware Testing Practitioner: Design, build, and deploy effective testing solutions that minimize manual effort throughout the testing process. Automated Testing: Apply automated tools to support testing activities across all phases of the Software Development Life Cycle (SDLC). Tool Recommendations: Support the test team by recommending and implementing tools and processes for automating other testing activities, including test management, reporting, test data generation, and defect management. Required Technical and Professional Expertise: Experience: 4+ years of experience in SDET (Software Development Engineer in Test) and testing. Web Technologies: Solid knowledge of Internet/Web Technologies. Testing Tools: Experience with tools like SOAP UI, CA Lisa, ParaSoft, or similar tools. Proficiency in Rest Assured or other API Test Automation Frameworks. Middleware Expertise: Knowledge of WebSphere MQ and IBM Integration Bus (IIB) (good to have). Coding Skills: Excellent coding skills in JavaScript or Java. Preferred Technical and Professional Expertise: Database Knowledge: Experience in understanding data models and writing database queries, with knowledge of NoSQL platforms. Automation Strategy: Experience designing and implementing test automation strategies for distributed systems. Production Issue Resolution: Ability to solve/debug production issues by collaborating with remote teams across different verticals (QA, Dev, PM, Operations). Stub and Mock Data: Understanding of automation testing using stub and mocked data from integrated systems. Innovation: Work at the cutting edge of technology, helping drive advancements in software testing and middleware solutions. Global Impact: Your work will have a direct impact on IBM s global success and the software quality delivered to our clients. Continuous Learning: Gain access to IBM s vast resources and opportunities for professional growth, including the latest tools and technologies in testing and software development. Collaborative Culture: Join a dynamic, inclusive team of experts where your contributions and ideas are valued. If you are passionate about software testing, eager to innovate with cutting-edge technologies, and ready to make a global impact, join us at IBM and help shape the future of software quality and middleware solutions.

Job Title: Application Developer - ETL and Data Management Introduction: In this role, you ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we provide deep technical and industry expertise to a wide range of public and private sector clients globally. Our delivery centers leverage locally-based skills to help clients drive innovation and the adoption of new technologies. A career in IBM Consulting is built on long-term relationships and close collaboration with clients across the world. You will work with leaders across industries to improve the hybrid cloud and AI journeys for some of the most innovative and valuable companies worldwide. Your ability to make a meaningful impact for clients is enabled by our strategic partner ecosystem and robust technology platforms, including Software and Red Hat. Curiosity and a constant quest for knowledge are key to success in IBM Consulting. In your role, you ll be encouraged to challenge the norm, explore new ideas, and come up with creative solutions that result in groundbreaking impact for a wide network of clients. Our culture is built on evolution and empathy, focusing on long-term career growth and development in an environment that values your unique skills and experience. Your Role and Responsibilities: ETL Workflow Development: Develop and implement ETL workflows by creating ETL jobs, and data models in datamarts using technologies such as Snowflake, DBT, Unix, and SQL. Batch Processing Redesign: Redesign Control M Batch processing for ETL job builds to run efficiently in a production environment. System Evaluation and Improvement: Study the existing system to evaluate its effectiveness and design new systems to improve workflow efficiency. Business Program Analysis & Support: Perform requirements identification, business program analysis, testing, and system enhancements while providing production support. Agile Environment: Work effectively in an Agile environment and gain familiarity with tools such as JIRA and SharePoint. Client Interaction: Good written and verbal communication skills are essential as you will interact directly with client counterparts to understand requirements and provide solutions. Required Technical and Professional Expertise: Experience: A minimum of 3 years of experience in developing ETL applications, implementing workflows, and creating data models using Snowflake, DBT, Unix, and SQL technologies. Agile Environment: Strong understanding of working in an Agile environment and proficiency in tools like JIRA and SharePoint. Problem-Solving Skills: Ability to manage change and proven time management skills. Strong interpersonal skills to contribute effectively to team efforts. Continuous Learning: Stay up-to-date with technical knowledge by attending educational workshops and reviewing relevant publications. Preferred Technical and Professional Expertise: ETL Development: Experience in developing triggers, functions, and stored procedures to support ETL workflows. Impact Analysis: Assist with impact analysis of changing upstream processes on the Data Warehouse and reporting systems. ETL & Reporting Support: Participate in the design, testing, support, and debugging of new and existing ETL and reporting processes. Data Profiling & Troubleshooting: Perform data profiling and analysis using a variety of tools, troubleshoot and support production processes, and maintain documentation. Innovation: Be part of a team that drives global change and leverages cutting-edge technologies to solve complex problems. Growth: Gain access to continuous learning and career development opportunities to further your expertise in data management and cloud technologies. Collaboration: Work with a diverse team in a collaborative environment that values new ideas and creative solutions. Global Impact: Your work will contribute to improving business operations and technological advancements for clients around the world. If you're passionate about driving innovative solutions, working with a variety of clients, and continuously evolving your skills, IBM Consulting is the perfect place for you to advance your career.

Job Title: Application Developer - IBM Consulting Introduction: As an Application Developer in one of IBM's Consulting Client Innovation Centers (Delivery Centers), you'll be at the forefront of delivering deep technical expertise to both public and private sector clients worldwide. Our delivery centers offer locally based skills that drive innovation and facilitate the adoption of new technologies. At IBM, your role will involve transforming business requirements into code, contributing to the development of customized systems in an agile environment. By leveraging the latest tools, technologies, and education, you will help accelerate IBM's and its clients' digital transformations globally. Your work will integrate seamlessly with enterprise systems, creating solutions that drive innovation and business success. This is an exciting opportunity to make a global impact while advancing your career in one of the world's leading technology companies. Your Role and Responsibilities: Solution Design & Development: Address functional needs by designing and developing solutions using multiple technologies, converting high-level designs into functional and technical specifications. Application Support & Performance: Provide functional support services to ensure applications meet customer performance, availability, service level agreements (SLAs), and satisfaction targets. Project Management & Governance: Ensure adherence to project management practices and processes such as software application development, testing, service management, change management, and root cause analysis (RCA). Project Execution: Plan and manage medium to large-scale, complex, integrated application or platform projects, ensuring they are executed effectively within scope, timeline, budget, and quality parameters. Best Practices & Design Reviews: Define and promote coding best practices within your team. Perform design reviews to ensure the robustness and quality of the developed solutions. Required Technical and Professional Expertise: Languages & Frameworks: Proficiency in Java 8 and above, Spring Boot, and REST API Design & Development. Database & ORM: Experience with Spring Data/JPA/Hibernate and working knowledge of databases such as SQL Server/DB2. Containerization & Orchestration: Expertise in Docker, container orchestration platforms like OpenShift or Kubernetes. Messaging Systems: Familiarity with messaging platforms such as RabbitMQ and Kafka. CI/CD: Experience with continuous integration and continuous deployment tools such as Azure DevOps and Drone.io. Monitoring & Alerting: Knowledge of monitoring and alerting systems like AppDynamics and Prometheus. Preferred Technical and Professional Expertise: Log Management & Visualization: Experience with the ELK Stack (Elasticsearch, Logstash, Kibana) for log management and analysis. Data Visualization & Monitoring: Familiarity with Grafana for data visualization. Cloud Computing: Experience with AWS and cloud-based application deployments. Innovative Culture: At IBM, you ll work with cutting-edge technologies that are transforming industries globally. Global Impact: Your work will directly contribute to the success of clients worldwide by delivering impactful solutions. Career Growth: Gain access to professional development programs, training, and mentorship that will accelerate your career. Dynamic Work Environment: Join a diverse, collaborative team where creativity and new ideas are highly encouraged. If you're passionate about developing innovative solutions, transforming business needs into code, and working with the latest technologies, apply today to join IBM Consulting and make a significant global impact.

Introduction A career in IBM Consulting is rooted in long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for some of the world s most innovative and valuable companies. Your ability to accelerate impact and make meaningful change for clients is enhanced by our strategic partner ecosystem and robust technology platforms, including IBM Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation for success in IBM Consulting. In your role, you ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions that result in groundbreaking impact for a broad network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experiences. In this role, you will work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients globally. Our delivery centers offer clients locally based skills and technical expertise to drive innovation and the adoption of new technologies. Your Role and Responsibilities Team Player: Collaborate with internal teams and clients to ensure successful project execution and delivery. Training and Mentorship: Provide training on technical and procedural topics to team members, sharing your expertise and fostering development. Communication and Collaboration: Maintain clear communication with team members and clients to align on goals and project progress. Problem Solving: Troubleshoot and address any challenges related to code performance, ensuring optimal solutions are implemented. Required Education Bachelor s Degree Preferred Education Master s Degree Required Technical and Professional Expertise Strong and proven background in Information Technology. Expertise in .NET Core, C#, REST API, LINQ, Entity Framework, and XUnit. Preferred Technical and Professional Experience Good communication skills to effectively articulate technical concepts and collaborate across teams. Experience in troubleshooting code performance issues, optimizing code, and implementing best practices. About IBM Business Unit IBM Consulting is IBM s consulting and global professional services business, with market-leading capabilities in business and technology transformation. We offer strategy, experience, technology, and operations services to many of the world s most innovative and valuable companies. Our people are dedicated to accelerating our clients businesses through collaboration and the responsible use of technology. Your Life @ IBM At IBM, we believe in the power of innovation, trust, and personal responsibility. We are committed to helping our employees grow, learn, and experiment daily, with continuous support in an environment where everyone can thrive. IBMers are growth-minded, always staying curious and open to feedback. They are encouraged to collaborate with colleagues, embrace challenges, and apply a can-do attitude to drive exceptional outcomes. Every IBMer is trusted to make critical decisions that contribute to IBM s evolution and to creating impactful results for clients and communities around the world. IBM s greatest invention is the IBMer. Since 1911, IBM has been at the forefront of technological innovation, from artificial intelligence and quantum computing to blockchain. Now, it's your chance to join us on our journey to being a responsible technology innovator and a force for good in the world. About IBM IBM is one of the largest corporate organizations globally, and we are a key technology and consulting employer. Many of the Fortune 50 companies rely on the IBM Cloud to run their businesses. We are proud to be early adopters of cutting-edge technologies and continue our commitment to responsible innovation.