CAP Theorem Jobs in Bengaluru

Lead Software Engineer - Scale & Performance Location: Bengaluru Experience: 6 12 years About VuNet VuNet is a pioneer in Business Journey Observability, using Big Data and Machine Learning to revolutionize digital experiences in the financial services industry. Our platform delivers end-to-end visibility into customer journeys, helping organizations proactively resolve issues, ensure operational resilience, and deliver superior user satisfaction. With over 28 billion digital transactions monitored every month and serving more than 300 million users globally, VuNet is shaping the future of observability for some of the largest banks and financial institutions. We are Series B funded, part of NASSCOM s DeepTech Club, and recognized by global analysts such as Gartner and Omdia. Your Role: Lead Software Engineer - Scale & Performance As a Lead Software Engineer for Scale & Performance, you ll own the performance and scalability benchmarks for VuNet s observability platform. You will work with cutting-edge technologies, design robust test frameworks, and ensure that our platform scales seamlessly to meet the demands of millions of users. Roles & Responsibilities Own performance and scalability benchmarking for key platform components (ingestion pipelines, data storage, and query services). Design and execute load, stress, soak, and capacity tests across microservices, agents, and ingestion layers. Identify and resolve performance bottlenecks in both infrastructure (CPU/memory/IO) and application layers (API latency, throughput, GC behavior). Develop and maintain performance test frameworks, preferably using Kubernetes-based environments. Collaborate with DevOps and SRE teams to optimize system configurations (Kubernetes, Postgres/TimescaleDB, ClickHouse, Kafka) for scale. Implement OpenTelemetry for service instrumentation to monitor system health and latency (p50/p95/p99 metrics). Contribute to capacity planning, scaling strategies (horizontal/vertical), and resource optimization. Analyze production incidents related to scaling issues and drive permanent fixes. Work with engineering teams to design scalable architecture patterns and define SLIs/SLOs for system performance. Document performance baselines, tuning guides, and scalability best practices for internal use. What You Bring Mandatory Skills: Strong background in performance engineering for large-scale distributed systems or SaaS platforms. Expertise in Kubernetes, container runtimes (containerd/Docker), and resource profiling in containerized environments. Solid understanding of Linux internals, CPU/memory profiling, and network stack tuning. Hands-on experience with observability tools (Prometheus, Grafana, OpenTelemetry, Jaeger, Loki, Tempo, etc.). Familiarity with observability platform datastores like ClickHouse, PostgreSQL/TimescaleDB, Elasticsearch, or Cassandra. Experience with performance benchmarking tools such as k6, Locust, JMeter, or custom Golang/Python scripts. Ability to interpret system metrics (CPU usage, memory, GC, latency) and correlate across different layers. Nice-to-Have Skills: Experience with agent benchmarking (OpenTelemetry Collector, custom data shippers). Exposure to streaming systems like Kafka, NATS, or Pulsar. Familiarity with CI/CD pipelines for performance testing and regression tracking. Knowledge of cost optimization and capacity forecasting in cloud environments (AWS/GCP/Azure). Proficiency in Go, Python, or Bash scripting for automation and data analysis. Life at VuNet: At VuNet, we're building a world-class observability platform, and we re just getting started. You ll be part of a passionate, problem-solving team that embraces collaboration, fast learning, and staying ahead of emerging technologies like Gen AI. We foster a high-trust, inclusive culture where collaboration, ownership, and innovation are central to our success. If you're looking to work on cutting-edge tech, make a real impact, and grow with a supportive team you ll fit right in at VuNet. Benefits: Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A culture that promotes continuous learning, innovation, and career growth. Transparent, inclusive, and high-trust workplace. Opportunities for skill enhancement with training programs focused on new Gen AI technologies.

Description At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/. Johnson & Johnson is recruiting for some great opportunities for its Global Services (GS) in Bangalore, India which is well equipped with the latest technology and modern infrastructure. This is your chance to work with the best talent in a workforce that reflects the diverse markets Johnson & Johnson serves around the world, and an inclusive culture that values different perspectives and life experiences. Reimagine the possibilities at Johnson and Johnson Global Finance! We live this motto every day by creating exciting business solutions for the world s largest and most broadly-based healthcare company. As a member of our Global Finance team, you will have exclusive access to a network of financial professionals located in over 60 countries. This new network will help you build on your current skills and explore opportunities to grow your career in J&J. At J&J Global Finance, we value ideas for innovation and improvement and are committed to diversity and inclusion. Together we will reinvent business processes to become more effective, more efficient, and improve customer experience. We are proud to be an equal opportunity employer. The Global Services Finance organization provides best-in-class, cost-effective financial services, and compliance support in a J&J way to our Operating Companies around the world. Risk Management & Compliance (RM&C) is one of such initiative under Global Services Finance. RM&C, ASPAC is seeking a Risk Management & Compliance Analyst who will have responsibility for fulfilment of the SOX and Compliance programs across J&J entities, training and advisory along with all Compliance related support to different sectors and performing walkthroughs, sampling, testing the effectiveness of control deployment, documentation of testing results, remediation support, monitoring, audit support, project support etc. Key Responsibilities 1. Be compliant with applicable laws and regulations, and follow guidelines in the J&J Credo 2. Maintain Operational Excellence Deep expertise and knowledge of the Worldwide Procedures and compliance requirements for respective areas. Identify compliance risks and recommend solutions to remediate / prevent breach. Ensure strong internal controls are in place and maintain compliant environment across the Organisation. Responsible for performing Compliance Health Checks and other internal reviews to test the effectiveness of the control placement. Support timely closing & execution of financial periods as per closing calendar and in accordance with SLA commitments, fully observing Compliance, Internal Audit & SOX requirements. Accountable for supporting completeness, accuracy and validity of the actuals reported within process/entity scope. Work closely with all business process and IT team members to communicate compliance requirements, documentation standards, sign-offs and review processes. Provide trainings to all business process owners for any change/update in financial procedures. Support projects, business partnering with collaborators, assisting business process owners with adoption of J&J policies & procedures. Support in standard Compliance document requirements: Risk Control Matrix, Hand-off s, SOPs and submission of required SOX templates (system inventory templates, SOX questionnaires etc.). Performs control walkthrough, operational testing and discusses the findings with the process owners. Conduct compliance due diligence for transitions in-scope. Testing of preventive & detective UA/SOD Controls (e.g. granting, facilitating appropriateness & semi-annual reviews) across all ERP systems. Support Sectors during Corporate Financial Audits. Supervise and drive the Corrective Action Plan (CAP) process, to ensure audit(internal & external) recommendations and key control gaps per SOX testing are implemented and other internal control gaps are closed timely and effectively. Be A Trusted Business Partner Implement global Strategy & Solutions in line with taxonomy. Support Process Subject Matter Experts (SME's) and Operational Key Contacts (OKC's) to ensure cross sector, cross region, and cross process alignment, ensuring good documentation is maintained and consistency of a global approach Create radical Innovation Generate ideas, fosters, and implements continuous improvement attitude, identifying and pursuing process efficiency opportunities. Manage operational improvements, generating ideas and implementing in line with global standards. Qualifications Qualifications Education A minimum of a Bachelor s level degree or equivalent is required, preferably in accounting, finance, or related business subject area. ACA, CPA and/or other financial certifications is highly preferred. Required At least 1 - 3 years of post qualification experience is required: Strong knowledge and understanding of accounting and financial processes (for Trading as well as Manufacturing business), shared services and related subject matter Understanding of internal controls, risk management, US GAAP accounting, financial systems, IT development and/or production support Clear understanding of SOX 404 requirements Understanding of audit procedures and auditing practices Experience in developing and managing audit programs desirable Experience in performing audits of financial processes and systems required, preferably in manufacturing/trading/service industry At least 1 year Management / Supervisory / team handling experience i...

Role Overview: User Assistant Developer - Cloud Foundation CNF As a User Assistant Developer within the Cloud Foundation CNF team, you will contribute to creating user assistance deliverables that help customers deploy, administer, and use SAP software efficiently. Your work will include creating UI texts, guides, multimedia, tutorials, and other content to enhance the user experience. You will work closely with colleagues globally, collaborating with customers and internal stakeholders to continuously improve the quality of your deliverables. Key Responsibilities Create User Assistance Deliverables: Develop content such as terminology, UI texts, guides, multimedia (graphics and videos), scripts, in-app help, tutorials, API references, and social media content to assist users in deploying and using SAP software. Usability Contributions: Test and review UI screens and texts to improve usability. Content Structuring & Distribution: Organize content and select appropriate distribution channels based on the needs of your target audience. Collaborate for Improvement: Work with customers and internal stakeholders to enhance the quality and relevance of your deliverables. Content Preparation: Ensure content is prepared for delivery, including metadata provisioning and following the standard production process. Terminology Management: Define and maintain terminology and glossary in your domain for documentation and UI texts. Innovative Initiatives: Contribute to initiatives that aim to revolutionize user assistance at SAP, including utilizing Generative AI technology and focusing on automation. What You Bring Education: Bachelor s degree in Computer Science, Engineering, or a related technical field. Experience: 4 to 6 years of experience in technical writing, with a strong background in creating product documentation (preferably in DITA). Social Media Content Creation: Experience in creating social media content such as blogs, tweets, or YouTube videos. Communication Skills: Excellent written and spoken English, with a proven ability to simplify complex technical concepts and present them clearly and concisely. Technical Understanding: Solid understanding of Cloud technologies and familiarity with SAP-specific technologies such as BTP, CAP, CDS, Fiori, UI5 (a plus). Adaptability: Willingness to quickly acquire knowledge in new areas and adapt to change. Quality Assurance: Ability to proofread and edit content for linguistic correctness, readability, usability, and correct terminology. Organizational Skills: Strong organizational abilities, with the capacity to work independently and manage deadlines effectively. Inclusive Culture: SAP values diversity and strives to create an inclusive work environment where everyone feels valued. Work-Life Balance: Enjoy flexible working models that allow you to balance your professional and personal life. Career Growth: SAP invests in your professional development with opportunities for learning and growth. Recognition: Individual contributions are recognized and celebrated across the organization. Qualification : Bachelors degree in Computer Science, Engineering, or a related technical field.

Job Title: Machine Learning Engineer III Location: Bangalore, India Company: Glance An InMobi Group Company About Glance Founded in 2019, Glance is a cutting-edge consumer technology company operating innovative digital platforms including Glance, Roposo, and Nostra. Our flagship Glance Lock Screen reaches over 450 million smartphones worldwide, delivering personalized, context-driven content without requiring app downloads. Roposo redefines live streaming experiences with creator-led interactive content, and Nostra stands as the largest gaming platform in India and Southeast Asia, offering immersive gaming and social engagement. Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group. At Glance, we believe in empowering you to dream big, innovate boldly, and own your impact from day one. Collaborate with talented peers on mission-critical projects leveraging bleeding-edge technology to disrupt consumer experiences. Enjoy perks including daily meals, gym access, training sessions, state-of-the-art tech tools, and a family-friendly workspace where your kids and pets are always welcome. Role Overview We are seeking a skilled Machine Learning Engineer III passionate about designing, developing, deploying, and scaling high-impact ML solutions. You will partner closely with data scientists, engineers, and product teams to build end-to-end ML systems, microservices, and APIs that power AI-driven products on Glance s platforms. Key Responsibilities Architect and implement scalable ML solutions to accelerate experimentation, model building, and deployment. Develop microservices and APIs for serving machine learning models and services efficiently. Design, prototype, and build new ML/AI products and proof-of-concepts in collaboration with cross-functional teams. Explore and adopt new platforms, algorithms, and technologies to enhance ML capabilities. Manage project priorities, deadlines, and deliverables while maintaining transparent communication across teams. Take ownership of end-to-end ML engineering lifecycle from research collaboration to production deployment. Preferred Qualifications 5+ years of professional experience as a Machine Learning Engineer with a proven track record of delivering impactful ML solutions. Bachelor s, Master s, or PhD degree in Computer Science, Mathematics, Statistics, or related analytical fields. Deep theoretical and practical knowledge of recommender systems, computer vision (CNNs), GPU optimization, and generative AI models. Proficiency in Python, Golang, Spark, and familiarity with popular data science and ML libraries. Strong background in advanced mathematics, statistics, and algorithmic problem solving. Excellent technical documentation skills and demonstrated leadership in driving cross-functional projects. Experience working in data science or research-oriented roles with a passion for solving complex challenges. Join Glance and contribute to building next-generation AI-driven consumer experiences. Apply now to be part of a visionary tech team in Bangalore! Qualification : Bachelors, Masters, or PhD degree in Computer Science, Mathematics, Statistics, or related analytical fields.

Senior Data Scientist Location: Bangalore, Karnataka, India Department: DAC Experience Required: 4 6 Years Education: B.E./B.Tech or equivalent Open Positions: 10 About the Role This is an exciting opportunity to apply your technical expertise while mentoring junior data scientists, influencing technical strategies, and ensuring the highest quality of data-driven decision-making. Key Responsibilities Data Science & Analytics Translate business problems into testable hypotheses and develop proofs of concept. Build and deploy predictive models and machine learning solutions using Python, SQL, and cloud platforms. Use advanced statistical techniques, data mining, and visualization to derive insights from structured and unstructured data. Collaborate with stakeholders to deliver actionable insights and ensure analytical solutions are effectively communicated to both technical and non-technical audiences. Design experiments, conduct hypothesis testing, and create data-driven narratives to support decision-making. Technical Leadership Guide and mentor junior data scientists on best practices, project design, and technical execution. Conduct code reviews, ensure quality documentation, and uphold software development standards (version control, refactoring, collaborative coding). Share emerging trends and best practices in the field to foster team-wide learning. Actively participate in peer learning, technical sessions, and team knowledge-sharing. Project Management Break down complex data science projects into smaller tasks, assign responsibilities, and monitor execution. Balance business impact with execution timelines to deliver pragmatic solutions over theoretical perfection. Create and maintain documentation using standardized frameworks (e.g., CRISP-DM). Required Skills Technical (Must-Have) Advanced proficiency in Python and SQL. Expertise in Probability & Statistics, hypothesis testing, and predictive modeling. Solid hands-on experience with Machine Learning (regression, classification, clustering, etc.). Strong data visualization skills with tools like Tableau, Power BI, and libraries such as matplotlib, seaborn. Experience with cloud platforms (Azure, AWS, or GCP) and modern development tools. Non-Technical (Must-Have) Strong communication skills: Ability to present technical findings to non-technical stakeholders. Project planning, risk management, and delivery tracking experience. Leadership qualities: Mentorship, peer collaboration, and driving process improvements. Excellent written communication for documenting scientific approaches and writing whitepapers. Preferred Skills (Good to Have) Advanced Technical Skills Expertise in areas like NLP, Deep Learning, Reinforcement Learning, Graph ML, or Time Series Forecasting. Hands-on deployment experience using MLOps tools and advanced cloud-native services. Solutioning Acumen Ability to break down complex business challenges and match them with the most effective technical solutions. What Makes You a Great Fit You are a problem solver with a deep understanding of machine learning applications. You thrive in a collaborative environment and excel at mentoring others while growing your own skills. You are motivated by impact and have the ability to translate raw data into strategic insights. Perks & Benefits Opportunity to work on cutting-edge, enterprise-scale problems. Be a part of a collaborative, intellectually curious team. Mentorship and career development support. Access to advanced tools, resources, and cloud technologies.

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.