41458 Gcp Jobs

About the Role We are seeking a highly experienced DevOps leader to establish and enforce deployment architecture standards and best practices across the organization. This person will be responsible for ensuring scalable, secure, and efficient DevOps workflows , from small-scale applications to enterprise-grade solutions . This individual will: Define and standardize DevOps and deployment architecture . Ensure cloud-agnostic practices across AWS, Azure, GCP, and other platforms . Audit and enforce adherence to DevOps standards in all projects. Implement CI/CD pipelines for automated, efficient software delivery . Optimize cost, performance, and security in cloud environments . Key Responsibilities 1. DevOps Strategy & Standardization Define and implement DevOps methodologies, best practices, and cloud deployment frameworks . Establish standard operating procedures (SOPs) for CI/CD, security, monitoring, and automation . Ensure scalability, security, and performance optimization in cloud deployments. 2. Multi-Cloud Expertise & Flexibility Oversee cloud-agnostic infrastructure to ensure compatibility across AWS, Azure, GCP, and hybrid cloud solutions . Guide teams on choosing the right cloud services and deployment models for different projects. Implement Infrastructure-as-Code (IaC) using Terraform, CloudFormation, or similar tools. 3. Deployment Architecture & CI/CD Implementation Design and maintain highly available, fault-tolerant, and scalable architectures . Implement CI/CD pipelines for automated testing, deployment, and rollback strategies . Oversee containerization and orchestration using Docker, Kubernetes, and Helm . 4. Security & Compliance Establish cloud security best practices and identity & access management (IAM) policies . Implement automated compliance checks to ensure regulatory adherence (ISO, GDPR, SOC 2, etc.). Secure DevOps workflows with DevSecOps practices for vulnerability scanning and threat mitigation. 5. DevOps Audits & Continuous Monitoring Conduct regular audits of projects to ensure DevOps and deployment standards are followed. Utilize monitoring and logging tools such as Prometheus, Grafana, ELK Stack, and Datadog . Optimize cloud cost management and performance tuning strategies. 6. Collaboration & Mentorship Work closely with developers, cloud engineers, and project managers to align DevOps goals . Mentor and guide teams on best DevOps practices and emerging technologies . Foster a culture of automation, reliability, and operational excellence . Key Qualifications & Skills Must-Have: 10+ years of experience in DevOps, cloud infrastructure, and deployment architecture. Expertise in multi-cloud environments (AWS, Azure, GCP) and hybrid cloud solutions. Strong experience in CI/CD pipeline automation and container orchestration (Kubernetes, Docker, Helm) . Hands-on experience with Infrastructure-as-Code (Terraform, CloudFormation, Ansible, etc.) . Deep knowledge of cloud security best practices, IAM policies, and DevSecOps integration . Experience in monitoring, logging, and cloud cost optimization . Familiarity with microservices architecture and serverless computing . Preferred: Exposure to AI/ML Ops, blockchain DevOps, and Web3 infrastructure . Experience in high-performance computing, edge computing, and hybrid cloud strategies . Knowledge of automated governance, compliance frameworks, and cloud-native security .

Responsible to discuss landscape architecture (setup & build process, dependencies etc) with Customer leaders & their technical team Review technical accuracy of Bill Of Material to validate that no obsolete version product (ECC etc) is selected to build on SAP RISE platform Do technical validation of customer landscape to validate Product version build viability Prepare Technical Assessments to discuss with Customer and explain about their to-be landscape Perform workshops with customer (networking, HA concepts, RACI reviews) Analyze Early Watch Reports & Technical Data to validate hardware selection/ sizing

Job Summary We are seeking a highly skilled and experienced Software Engineer to join our Cloud Engineering team. The primary focus of this role will be to develop and test software and systems for our various cloud marketplace offerings in Azure, Google Cloud Platform (GCP) and Amazon Web Services (AWS). The ideal candidate will have a strong background in cloud technologies, software development and automated testing. Job Requirements • Proficiency in programming languages such as C, C++, Python, scripting etc. • Experience with cloud platforms (Azure, GCP, AWS) and their services. • Knowledge of CI/CD pipelines and tools (e.g., Jenkins, GitLab CI). Knowledge of Storage protocols (NFS, SMB, iSCSI) will be preferred • Familiarity with infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation, ARM). • Expected to demonstrate skills in test design and development, automation framework design and implementation, and troubleshoot critical cloud storage and virtual platform issues. • A major part of your responsibility will be to participate in several phases of the product development cycle including automated testcase design and development, test execution and triage. • As a part of the Cloud Engineering team, you will participate in technical discussions within the immediate group and across functions, where evaluating and executing test design and test execution plans for virtual storage products. • Experience in scripting or programming languages. Perl & especially Python experience preferred • Knowledge in virtualization, storage and cloud technologies is preferred Education • Minimum 5 years of experience and must be hands-on with coding. • B.E/B.Tech or M.S in Computer Science or related technical field.

As a Senior Principle Engineer - Cloud Data Platform (GCP) at Incedo, you will be responsible for managing and optimizing the Google Cloud Platform environment, ensuring its performance, scalability, and security. You will work closely with data analysts and data scientists to develop data pipelines and run data science experiments. You will be skilled in cloud computing platforms such as AWS or Azure and have experience with big data technologies such as Hadoop or Spark. You will be responsible for configuring and optimizing the GCP environment, ensuring that data pipelines are efficient and accurate, and troubleshooting any issues that arise. You will also work with the security team to ensure that the GCP environment is secure and complies with relevant regulations. Roles & Responsibilities: Designing, developing and deploying cloud-based data platforms using Google Cloud Platform (GCP) Integrating and processing large amounts of structured and unstructured data from various sources Implementing and optimizing ETL processes and data pipelines Developing and maintaining security and access controls Collaborating with other teams to ensure the consistency and integrity of data Troubleshooting and resolving data platform issues Foster a collaborative and supportive work environment, promoting open communication and teamwork. Demonstrate strong leadership skills, with the ability to inspire and motivate team members to perform at their best. Technical Skills Skills Requirements: In-depth knowledge of GCP services and tools such as Google Cloud Storage, Google BigQuery, and Google Cloud Dataflow Experience in building scalable and reliable data pipelines using GCP services, Apache Beam, and related big data technologies Familiarity with cloud-based infrastructure and deployment, specifically on GCP Strong knowledge of programming languages such as Python, Java, and SQL Nice-to-have skills Qualifications 13-15 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

This Position reports to: IS CEX Infrastructur& Network Monitoring Your role and responsibilities (Mandatory) In this role, you will have the opportunity to support the organizations vision and strategic direction. Each day, you will define, manage, and monitor processes to meet requirements for Information Systems (IS) services by planning, measuring, and improving all aspects of IS services. You will also showcase your expertise by being a key resource, a definitive source of knowledge processes, to contribute to enhancing organizational effectiveness. The work model for the role is #LI #Onsite This role is contributing to the IS Services in India, Bangalore. You will be mainly accountable for: Install, configure, and maintain infrastructure monitoring solution in-house. Collaborate and work within the team and externally with the relevant stakeholders to bring out effective monitoring solutions for infrastructure. Partner with support teams to ensure the proper monitoring of infrastructure systems. Ensures the infrastructure monitoring baselines are up-to date and responsible for upkeep of it. Reviews and analyzes the efficiency of existing monitoring setup for a site or an app with a focus on optimization, standardization, and automation. Research and analyze the infrastructure environment to support monitoring activities (to avoid false positives events) Provides consultation, advice, and supports the infrastructure monitoring service for the respective stakeholders. Collaborates with stakeholders as required. Qualifications for the role (Mandatory) IT degree welcome but not mandatory with 10+ years supporting IT infrastructure. Certifications required- Cloud, RHEL, VMware, storage, ITI Expertise in implementation and maintenance of monitoring solutions in a distributed setup (e.g. Checkmk, Nagios, ELK, etc.). Expertise in Cloud monitoring and services (MS Azure, AWS, GCP). Expertise in IT Infrastructure technologies [OS (windows, linux), Storage, Virtualization (VMware, Hyper-V), database, backup solutions, etc..).

This Position reports to: Head of Design,Architecture&Integration Your role and responsibilities: The Business Analyst (BA) for Finance Processes, Data, and Systems plays a critical role in supporting the design, analysis, and improvement of finance-related processes, ensuring that data systems and financial processes are efficient, accurate, and aligned with organizational goals. In this role, the BA will collaborate closely with the Process Architect to map, optimize, and implement new systems and data flows, ensuring that financial operations are scalable and compliant with internal and external standards. The BA will help bridge the gap between finance, business, and technical teams by analyzing business requirements, documenting current processes, recommending process improvements, and supporting the implementation of these changes in line with business goals. The work model for the role is: #LI-Onsite This role is contributing to the Finance Services business Finance Process Data Systems division in Bangalore, India. You will be mainly accountable for: Process Mapping and Optimization: Work with the Process Architect to document and map current state finance processes, identifying inefficiencies and areas for improvement. Systems Support and Integration: Assist in the evaluation, selection, and implementation of finance-related systems (ERP, data analytics tools, etc.). Coordinate with technical teams to support the integration of finance systems with other business tools and platforms. Business Requirements Gathering: Engage with stakeholders across finance, operations, and IT to gather and document detailed business requirements for new systems, processes, and data tools. Testing and Implementation Support: Support the development and execution of test cases for new or updated finance systems and processes. Provide post-implementation support to troubleshoot and resolve issues that arise during and after the launch. Continuous Improvement: Actively participate in continuous improvement initiatives related to finance processes, ensuring the business adapts to changes in regulatory requirements, technology, and market conditions. Qualifications for the role: Bachelors degree or post-graduation in Economics/Finance/Accounting/ Business Engineering/Management or similar field, Certification in SAP FICO or S/4 HANA ideally in Central Finance or FICO is desired but not mandatory, 5+ years of work experience in Finance systems and process design, Understanding of financial accounting, value flows and nuances of related processes. Experience in collaborating with cross-functional teams, including business process owners, IT teams, and external vendors, to deliver business-aligned technology solutions. Strong understanding of system design, data flows, and integration methodologies. Strong analytical and problem-solving skills. Strong understanding of SAP S/4HANA, Central Finance (CFIN), and related SAP modules will be a plus. Ability to translate complex technical concepts as deployed into understandable terms for non-technical users in their area of expertise Excellent written & verbal communication with ability to translate discussion points into functional requirements. Strong problem-solving skills and the ability to manage complex, cross-functional challenges. Excellent communication skills, with the ability to collaborate effectively with business stakeholders, technical teams, and senior leadership, with ability to listen, advise, empathize, explain. A strong focus on continuous improvement and automation, with a passion for driving innovation within enterprise systems. Ability to adapt to a fast-paced, dynamic work environment and manage multiple priorities effectively.

Performs systems analysis and design. Designs and develops moderate to highly complex applications. Develops application documentation. Produces integration builds. Performs maintenance and support. Supports emerging technologies and products. Qualifications: Bachelor s Degree or International equivalent Bachelors Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred

- Design and build scalable data infrastructure to deliver business insights from diverse data sources. -Develop batch and real-time analytical pipelines and machine learning solutions. -Build and implement predictive models, classification systems, and deep learning frameworks. -Work with stakeholders to translate business requirements into analytical solutions. -Visualize and communicate analytical results to both technical and non-technical audiences. -Mentor junior team members and lead small project teams within the Data Science function. -Drive data storytelling to enable informed business decisions. -Contribute to architectural decisions, tool selection, and data strategy at an organizational level. Requirements Required Skills & Experience: -4+ years of experience in Data Science, with team leadership or mentoring experience. -Expertise in Python and core data science libraries: Pandas, NumPy, Scikit-learn, NLTK, TensorFlow/PyTorch, Keras. -Hands-on experience with Machine Learning, Deep Learning, and Natural Language Processing (NLP). -Strong understanding of model building, feature engineering, evaluation metrics, and deployment. -Excellent data visualization, presentation, and data storytelling skills. -Strong interpersonal and communication skills able to clearly explain complex models to business stakeholders. -Passionate about clean, maintainable code and reproducible research. Nice-to-Have Skills: -Domain experience in the insurance sector. -Familiarity with MLOps tools, cloud platforms (AWS, GCP, Azure), or big data tools (Spark, Hadoop). -Experience with data version control, experiment tracking, and model governance.

Design, build, and scale robust APIs, systems, and user interfaces to support mission-critical enterprise admin workflows. Develop features enabling administrators to create, manage, and curate learning content, configure programs, manage users, and monitor adoption and engagement. Measure and evaluate the impact of your work, analyze results, and run A/B tests to drive data-informed product improvements. Create and maintain clear, high-quality technical documentation for components owned by your team. Develop and deploy high-quality code (Java, Scala, or similar) following industry best practices, and track key service-level indicators (SLIs). Troubleshoot and resolve production issues, lead blameless retrospectives, and participate in the on-call rotation to uphold service-level agreements (SLAs). Mentor and collaborate with teammates, contributing to process improvements and the overall success of the team. Basic Qualifications 7+ years of professional experience in software engineering, with significant contributions across both frontend and backend systems. Proficient in designing and implementing APIs and building intuitive, performant user interfaces using modern frameworks such as React (or similar). Skilled in writing automated tests (unit, integration, and end-to-end) to ensure code reliability and maintainability. Expertise in working with managed cloud services (AWS, GCP, or Azure), streaming technologies, and handling large datasets. Experience developing new features end-to-end from UX and UI design considerations to backend services and database integration. Proven ability to debug and resolve complex issues across the stack with minimal supervision. Strong advocate for engineering excellence, building reusable components and technical leverage for the wider team. Data-driven mindset, motivated by delivering measurable outcomes and learning from experiments, metrics, and user feedback. Preferred Qualifications Founding engineers or candidates with prior experience in start-up environments are preferred, specifically those who have been part of a bootstrapping team, small start-up team, or expansion team. Demonstrated ability to work in a fast-paced and dynamic environment, and navigate through ambiguity and uncertainty with confidence. Experience collaborating with cross-functional teams to deliver high-quality products or services. Proven track record of delivering results in a resource-constrained environment with limited guidance and supervision.

As an engineer on the Enterprise Analytics team , you will design and build data-driven features that empower our enterprise administrators to understand and maximize the impact of Coursera s learning products. You will work on transforming complex datasets into clear, actionable insights enabling admins to track program performance, monitor learner engagement, measure skill development, and evaluate ROI on learning initiatives. You will collaborate closely with product managers, designers, and data scientists to solve challenging technical problems, shape the product roadmap, and create intuitive analytics experiences that drive data-informed decisions. Your work will directly influence how enterprises perceive and leverage Coursera to improve learning outcomes and business success. Responsibilities: Design, build, and scale robust APIs and systems to support mission-critical integrations. Measure and evaluate the impact of your work, analyze results, and run A/B tests to drive data-informed product improvements. Create and maintain clear, high-quality technical documentation for components owned by your team. Develop and deploy high-quality code (Java, Scala, or similar) following industry best practices, and track key service-level indicators (SLIs). Troubleshoot and resolve production issues, lead blameless retrospectives, and participate in the on-call rotation to uphold service-level agreements (SLAs). Mentor and collaborate with teammates, contributing to process improvements and the overall success of the team. Basic Qualifications: 7+ years of professional experience in software engineering, with significant contributions across both frontend and backend systems. Proficient in designing and implementing APIs and building intuitive, performant user interfaces using modern frameworks such as React (or similar). Skilled in writing automated tests (unit, integration, and end-to-end) to ensure code reliability and maintainability. Expertise in working with managed cloud services (AWS, GCP, or Azure), streaming technologies , and handling large datasets. Experience developing new features end-to-end from UX and UI design considerations to backend services and database integration. Proven ability to debug and resolve complex issues across the stack with minimal supervision. Strong advocate for engineering excellence , building reusable components and technical leverage for the wider team. Data-driven mindset , motivated by delivering measurable outcomes and learning from experiments, metrics, and user feedback. Preferred Qualifications: Founding engineers or candidates with prior experience in start-up environments are preferred, specifically those who have been part of a bootstrapping team, small start-up team, or expansion team. Demonstrated ability to work in a fast-paced and dynamic environment, and navigate through ambiguity and uncertainty with confidence. Experience collaborating with cross-functional teams to deliver high-quality products or services. Proven track record of delivering results in a resource-constrained environment with limited guidance and supervision.

You will work on a variety of impactful customer technical Big Data projects which may include building reference architectures, how-tos and production grade MVPs Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications Consult on architecture and design; bootstrap or implement strategic customer projects which leads to a customers successful understanding, evaluation and adoption of Databricks. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. What we look for: 10+ years experience with Big Data Technologies such as Apache Spark , Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role 6+ years of experience working on Big Data Architectures independently Strong experience working in the Databricks ecosystem Comfortable writing code in either Python or Scala . Experience working across Cloud Platforms ( GCP / AWS / Azure ) Documentation and white-boarding skills. Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.

What You ll Do Design, develop, and maintain high-performance Node.js applications. Write clean, maintainable, and well-documented code. Participate in code reviews to ensure code quality. Collaborate with cross-functional teams to define, design, and ship new features. Troubleshoot and debug complex issues. Optimize applications for maximum speed and scalability. Stay up-to-date with emerging trends in Node.js development. Education And Work Experience Bachelor s or Master s degree in Computer Science or related field. 15+ years of experience in Node.js development. Experience with system design and architecture. Specialized Knowledge, Skills, And/Or Abilities Strong proficiency in Node.js and JavaScript. Experience with REST APIs and microservices architecture. Deep understanding of databases (e.g., MongoDB, PostgreSQL). Familiarity with cloud platforms (e.g., AWS, Azure, GCP). Excellent problem-solving and communication skills.

Understand business requirements and translate them into technical implementation. High accountability of delivering planned work Create and maintain positive and productive working relationships across teams. Have you got what it takes Bachelor/Master of Engineering Degree in Computer Science, Electronic Engineering or equivalent from reputed institute 4+ years of software development experience Working experience in Core Java, proficient with Java algorithms and data structures Worked in high performance, highly available and scalable systems. Strong experience with Spring Framework, Spring Boot, Angular 12+ Experience with public cloud infrastructure and technologies such as AWS/Azure/GCP etc Experience working with 3rd tools like Tomcat, Elastic search, Redis Cache. Experience in any object-relational mapping (e.g. Hibernate) Strong Development experience creating RESTful Web APIs. You will have an advantage if you also have: Experience working in and driving Continuous Integration and Delivery practices using industry standard tools such as Jenkins. Ability to work independently and collaboratively, good communication skill. Able to resolve problems of moderate scope which requires an analysis based on a review of a variety of factors.

Lead the design, development, and deployment of machine learning models for real-world business problems. Drive end-to-end data pipelines, from data ingestion and transformation to model serving and monitoring. Collaborate with cross-functional teams to define data strategies, ensuring high-quality, reliable data for analytics and ML use cases. Mentor junior data scientists and engineers, setting best practices in modeling, MLOps, and data engineering. Explore and evaluate emerging trends in Agentic AI and advanced ML techniques to incorporate into future product capabilities. Work closely with product and engineering leadership to align data initiatives with business goals. The Perfect Fit Proven expertise in Data Science & Machine Learning (model development, deployment, and scaling). Strong experience in Data Engineering (ETL pipelines, data warehousing, distributed systems). Proficiency with Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Hands-on experience with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, Kafka, Databricks). Solid understanding of MLOps practices (CI/CD for ML, model monitoring, reproducibility). Excellent problem-solving, communication, and leadership skills. Your Edge Over the Rest Exposure to Agentic AI frameworks and research in autonomous AI systems. Experience with LLMs, prompt engineering, and generative AI. Knowledge of advanced optimization and reinforcement learning.

Govern processes to effectively manage both internal and external audits across Data, Digital & IT (DD&IT), focusing on GxP (e.g., GMP, GCP), quality, and regulatory-related audits, along with stakeholder management, remediation tracking, status reporting, and lessons-learned sharing. Act as the single point of contact (SPOC) for audit teams across DD&IT, coordinating audit and inspection activities, ensuring effective communication, and maintaining compliance throughout the process. Notify and mobilize relevant DD&IT stakeholders such as application managers, system owners, QA, Information Security & Compliance (ISC), and SOP process owners for audits and inspections, ensuring timely readiness. Coordinate globally with business teams to ensure audit support tickets are created, tracked, and resolved in alignment with Novartis policies and procedures. Conduct pre-audit meetings to clarify IT scope, agree on auditor pre-requests, align timelines, and ensure stakeholders understand expectations for audits and inspections. Provide advice and guidance to DD&IT teams on GxP and information systems compliance requirements to ensure alignment with regulatory standards such as FDA, EMA, MHRA and Swissmedic expectations. Track and proactively manage audit requests across different time zones, ensuring SMEs respond on time, identifying backups where needed, and escalating delays or deviations as appropriate. Guide DD&IT SMEs by clarifying audit process requirements and supporting them throughout the audit lifecycle, ensuring accurate delivery of requested information. Conduct training sessions on audit readiness, including proper inspection etiquette and effective collaboration during audits and inspections. Collaborate with internal teams to improve and standardize governance frameworks and processes, aiming to reduce audit findings and improve inspection readiness. Escalate compliance deviations and critical quality issues to senior management and coordinate resolution efforts, ensuring corrective and preventive actions (CAPAs) are implemented effectively. Manage relationships at a global level across divisions and functions, including ISC, e-Compliance, and DDIT teams, facilitating cross-functional alignment and collaboration on audit-related matters. Coordinate and participate in audit closing meetings, preparing summaries of findings, tracking observations, and supporting SMEs in addressing them. Partner with security, compliance, and quality experts to identify focus areas, evaluate industry trends, and recommend strategies to improve audit processes and outcomes. Monitor and report on audit findings, remediation actions, and related improvement activities, ensuring compliance, security, and quality gaps are addressed thoroughly. Drive and coordinate key Sarbanes-Oxley (SOX) activities in collaboration with application teams and external auditors, ensuring alignment to SOX IT controls and timely delivery of evidence while minimizing audit-related disruptions. Ensure adherence to security and compliance policies and procedures within the audit management governance framework, while aligning with internal and external quality standards. Minimum Requirements University degree or equivalent. Master s degree in IT, Quality Management, Business Administration, or related fields. Overall 8-10 years of work experience in quality management, audit, and compliance within IT, preferably in a global organization. Experience in the pharmaceutical industry or other regulated industries, with knowledge of GxP processes and compliance requirements. In-depth understanding of pharma business processes and their interrelationship with IT systems and regulatory frameworks. Proven track record of managing audits, regulatory inspections, and remediation efforts in pharma or other highly regulated environments. Experince with Computer System Validation (CSV), system testing, and adherence to lifecycle validation processes (e.g., requirements gathering, system design, validation testing, implementation, and maintenance). Knowledge of ITIL processes and best practices. Demonstrated ability to work effectively in large, cross-functional, global organizations. Proficient in Excel, PowerPoint, and other productivity tools for reporting and presentation. Business-proficient in English (written and spoken).Strong communication skills with the ability to articulate expectations and audit requirements clearly to diverse teams and stakeholders. Ability to manage multiple priorities and time-sensitive processes efficiently. ITIL-certified professional. Strong knowledge of validation practices, including GxP, Sarbanes-Oxley (SOX), and pharmaceutical quality compliance standards. understanding of CSV lifecycle processes, including risk assessment, traceability matrix development, protocol execution, and impact analysis. Business knowledge or experience in IT s role supporting audit and compliance functions within regulated industries. Expertise in Computer System Validation (CSV) testing methodologies and frameworks

Purpose of the roleThis role has been established to support the business in building sustainable governance andcompliance practices at Amagi The basic factor required to be successful in this role warrants a good understanding of the companys vendor landscape and compliance requirements The focus is on building repeatable internal compliance validation and vendor security risk review processes What are we looking for in potential candidatesBe a team player Be hands-on at work Believe in adopting an innovative approach towards cybersecurity risk management and governance Willingness to learn technical aspects of security Self starterWho will the role report toThis role will report to the Director - GRCWhat is the scope of operationThird-Party Risk Management (TPRM) Support for Audit Readiness and Evidence Collection Internal Governance and Risk ManagementWhat is the desired outcome in the next two yearsA sustainable vendor security risk management process A sustainable internal compliance team Continuous monitoring and reporting of the Product risk posture Processes to monitor the implementation effectiveness of security controlsKey Responsibilities Support products in sustaining SOC2 compliance by regular internal assessments Engage with vendors for regular security and risk review Continuous monitoring and scoring of vendor risk Monitor security control effectiveness and highlight deviations To carry out Amagi s Security Awareness Program Manage governance documentationRequired Competencies Basic understanding and working knowledge of AWS / GCP Basic understanding of security standards, policies, and processes Basic understanding of SOC2, audit, and compliance validation Working knowledge of carrying out TPRM assessments Good documentation skills Ability to work cross-functionally with Legal,IT and Engineering Strong analytical and problem-solving mindset Comfort with ambiguity and willingness to shape early-stage processesWork Experience 1-3 Years of experience in Vendor risk management and Compliance review

- Automate regression, functional, and integration tests using appropriate tools. - Collaborate with developers to understand requirements and acceptance criteria. - Identify, document, and track defects; work with the team to resolve issues. - Perform API, data flow, and end-to-end testing of features. - Maintain and improve test automation framework. - Participate in code reviews and provide feedback. - Ensure compliance with QA standards and best practices. Requirements: - Bachelor s degree in Computer Science, Engineering, or related field. - 4+ years of QA experience, preferably with SaaS products. - Good understanding of REST APIs, JSON, and integration patterns. - Experience with test automation tools (e.g., Selenium, Postman, JMeter). - Familiarity with CI/CD pipelines and version control (Git). - Excellent analytical and problem-solving skills. - Strong communication and teamwork abilities. Preferred: - Experience with cloud platforms (AWS, Azure, GCP). - Knowledge of containerization (Docker, Kubernetes). Additional Requirements Technologies: Devops, Maven

As an Advanced Data Scientist here at Honeywell, you will leverage your expertise in advanced analytics and machine learning to drive data-driven decision-making within our Commercial Data team. Your role will be crucial in transforming complex data into actionable insights that enhance our commercial strategies and operational efficiency. You will report directly to our Sr Data Engineering Manager, and you ll work out of our Bengaluru, India location on a Hybrid work schedule. In this role, you will impact the organization by utilizing advanced data science techniques to solve complex business challenges, optimize commercial processes, and identify new opportunities for growth and efficiency. Required Qualifications Bachelor of Engineering or master s degree in data science, Computer Science, Statistics, Mathematics, or a related field. 6+ years of experience in data science, machine learning, or advanced analytics. Strong programming skills in Python, R, or similar languages. Proficiency in SQL and experience with large-scale data processing. Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques. Experience with data visualization tools to present findings effectively Familiarity with cloud platforms (AWS, Azure, GCP) and version control systems (e.g., Git). Expertise with the CI-CD process. Git-actions Preferred Skills Experience with SQL, Python, PySpark and distributed data processing. Hands-on experience with Databricks for collaborative analytics and model development. Knowledge and hands-on experience on snowflake & Databricks Practical experience in developing and fine-tuning Large Language Models (LLMs). Exposure to Generative AI (GenAI) frameworks and applications. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Hands on experience of MLOps practices and tools for model deployment and monitoring. Strong communication skills with the ability to explain complex concepts to non-technical stakeholders. Proven ability to lead projects and work independently in a fast-paced environment. Key Responsibilities Build and deploy predictive models and machine learning algorithms to address real-world business problems. Analyze large-scale datasets to extract actionable insights and support data-driven strategies. Collaborate with cross-functional teams to understand business needs and deliver impactful solutions. Mentor junior data scientists and contribute to a culture of continuous learning. Continuously improve existing models and explore new analytical approaches. Lead innovation in AI/ML, including the application of Large Language Models (LLMs) and Generative AI (GenAI).

Research and develop creative solutions across a wide range of cutting-edge technologies to continuously evolve our platform, GreyMatter. Create REST API s and integrations between various products to improve and automate our customer s threat detection. Manage the continuous integration and deployment processes of complex technologies. Perform code reviews to ensure consistent improvement. Proactively automate and improve all stages of the software development lifecycle. Interface closely with various parts of the business, both internally and externally, to ensure all users are leveraging the product with ease and to its full potential. Provide support to other team members as well as cultivate a culture of constant collaboration. Do you have what it takes 2-4 Years of Software Development experience in the following languages and/or technologies: Python, JS, React, Angular, Java, C#, MySQL, Elastic Search or equivalent. Must be proficient in the English language, both written and verbal What makes you uncommon Hands on experience with one or more of the following technologies (Elasticsearch, Kafka, Apache Spark, Logstash, Hadoop/hive, Tensorflow, Kibana, Athena/Presto/BigTable, Angular, React). Experience with cloud platforms such as AWS, GCP, or Azure. Solid understanding of unit testing, continuous integration and deployment practices. Experience with Agile Methodology. Higher education/relevant certifications.

Design, implement, and manage CI/CD pipelines. Automate deployment, monitoring, and scaling of applications. Manage cloud infrastructure (AWS/Azure/GCP). Implement containerization using Docker orchestration with Kubernetes. Ensure system reliability, availability, and performance monitoring. Maintain Infrastructure as Code (Terraform / Ansible / CloudFormation). Requirements: Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI). Strong knowledge of Docker, Kubernetes, Helm. Experience with cloud platforms (AWS/Azure/GCP). Proficiency in scripting (Bash, Python, Shell). Knowledge of monitoring tools (Prometheus, Grafana, ELK).

Research and develop creative solutions across a wide range of cutting-edge technologies to continuously evolve our platform, GreyMatter. Create REST API s and integrations between various products to improve and automate our customer s threat detection. Manage the continuous integration and deployment processes of complex technologies. Perform code reviews to ensure consistent improvement. Proactively automate and improve all stages of the software development lifecycle. Interface closely with various parts of the business, both internally and externally, to ensure all users are leveraging the product with ease and to its full potential. Provide support to other team members as well as cultivate a culture of constant collaboration. Do you have what it takes 2-4 Years of Software Development experience in the following languages and/or technologies: Python, JS, React, Angular, Java, C#, MySQL, Elastic Search or equivalent. Must be proficient in the English language, both written and verbal What makes you uncommon Hands on experience with one or more of the following technologies (Elasticsearch, Kafka, Apache Spark, Logstash, Hadoop/hive, Tensorflow, Kibana, Athena/Presto/BigTable, Angular, React). Experience with cloud platforms such as AWS, GCP, or Azure. Solid understanding of unit testing, continuous integration and deployment practices. Experience with Agile Methodology. Higher education/relevant certifications.

We set the digital agenda to keep IKEA leading in an exciting and fast-moving environment. We drive the development, provision and operation of our digital products and services through the use of new and existing technology and agile delivery methods to deliver at pace. We are building, integrating and using software to solve complex problems. At the same time, we provide a home for digital skills to both develop and extend the technical, people and business skills needed to ensure continuous development and growth of our digital capability. To fulfill our IKEA vision, a better everyday life for the many people, we need to ensure that the software solutions we create, and use are sound and sustainable for both our customers and co-workers at large. The People Domain We enable Ingka and our people to grow sustainably, through modern efficient human resource technology, leading the group s digital agenda in sub-domains involving Talent, Total Rewards, People Management and People Planning. Who you are You re a seasoned engineer with a passion for building smart, automatically tested, and well-functioning systems. You want to grow yourself and help others to grow, you are not afraid to ask nor to share, you want to do the right thing! You know your best practices, microservice architecture, testing, automation, and cloud development, and the tools that come with it. Perfect code doesn t exist, but you still chase it, without giving up on delivering value. Our landscape is huge, there are many domains and subdomains you will work with, so you need to understand how to reach out to people and reach consent all whilst knowing that perfect is the enemy of good. You always have a big backlog, but you have a good understanding of what adds value now and what can wait, and you can explain your thoughts to others. Below are preferred technical skills: 5+ years of experience in Go, Java or similar programming language experience writing well-designed, efficient code Cloud experience, GCP preferred, Alibaba Cloud is also of interest Docker, Kubernetes, or other container technologies using modern DevOps practices Sprint Boot microservices and API management Event-driven architecture using tools like Kafka, Pub/Sub, etc. Experience with a modern, fully automated development and deployment process In-depth understanding of design patterns with strong technical aptitude NoSQL and relational database technologies Logging, alerting, tracing, and debugging in the cloud Security concepts especially around the cloud We are looking for people to join us who share and are passionate about our IKEA culture and values which play a major part in our business and day-to-day work life. For you to thrive and grow with IKEA, it is important that you naturally lead with our values in mind such as togetherness, renew and improve, simplicity, different with a meaning and caring for people and planet. You can read more about our values and life at IKEA at ikea.com. You will be working from Bengaluru, India, with remote teams based in our hubs in Malmo Helsingborg, Sweden.

As a Sr Data Science Supervisor here at Honeywell, you will lead a team of data scientists to drive innovative data solutions that enhance decision-making and operational efficiency across the organization. Your leadership will be crucial in fostering a culture of excellence and collaboration while overseeing the development and implementation of advanced analytics projects. You will report directly to our Sr. Data Engineering Manager, and you ll work out of our Bengaluru, India location on a Hybrid work schedule. In this role, you will impact the organization by guiding your team in leveraging data science techniques to solve complex business challenges, optimize processes, and deliver actionable insights that align with corporate objectives. Required Qualifications Bachelor of Engineering or master s degree in data science, Computer Science, Statistics, Mathematics, or a related field. 10-12+ years of overall experience and 8+ years of relevant experience in data science or advanced analytics roles at least 2 years in a supervisory or leadership role. Proven track record of delivering production-grade models and analytics solutions. Strong programming skills in Python , SQL , and PySpark . Experience with cloud platforms (Azure, AWS, GCP) and collaborative environments like Databricks . Familiarity with MLOps tools and practices (MLflow, CI/CD pipelines, model monitoring). Preferred Skills Expertise in Generative AI (GenAI) and Large Language Models (LLMs) , including frameworks like Hugging Face, LangChain, and OpenAI APIs. Experience with deep learning (TensorFlow, PyTorch) and NLP techniques. Strategic thinking and the ability to align data science initiatives with business objectives. Ability to design optimal Databricks job clusters and apply performance tuning for scalable analytics workflows. Excellent communication and stakeholder management skills. Ability to lead without direct reports driving influence through technical excellence and collaboration.

KPMG India is looking for Senior Manager - Azure Data Engineering Senior Manager - Azure Data Engineering to join our dynamic team and embark on a rewarding career journey Analysis for the current business practice. Find out the different operational strategies. Work on developing the current operational strategy applied to the company with the most recent technology. Coordinate with the operations manager to take the required steps after brainstorming and research. Optimize the operations in the company. Put the suitable operational strategy to fit with the companys culture. Implement the operational strategy in the different departments of the company. Supervise the strategy, and make sure that all the employees respect this strategy. Work regularly in improving the companys operations performance. Also, the deputy operations manager works in certain cases in touch with the clients to make sure that they receive the required service with the highest quality. In Customer service company, the deputy operations manager works with his team to make the clients satisfied by offering to his team the required training and courses to be able to communicate correctly with the customers. Follow up with the running project daily in order to make sure that they follow the right operation process. Check the logistics operations. Monitor t Show to the employees the company strategies and regulations in order to maintain the operation process. Solve all the different problems that could face the operations, to ensure the operational strategy. Issue a weekly, and monthly report for the operations manager to see all the updates realized on

We are looking for a highly skilled AI Productivity Engineer to lead the development and integration of AI-driven solutions, driving automation and efficiency across multiple business functions. In this role, you will play a crucial part in building scalable tools and workflows, optimizing internal processes, and fostering continuous productivity improvements. Your expertise will directly contribute to accelerating our GTM strategy, enhancing operational scalability, and shaping the future of AI adoption within our company. Key Responsibilities : 1) AI Powered Automation Operational Scaling Lead the development and integration of cost effective AI systems, leveraging LLMs and AI agents to optimize business operations, automate workflows, and improve customer support processes. Implement AI-based self serve tools to reduce operational dependencies. Collaborate with product and engineering teams to integrate AI driven automation into products, customer support, and internal operations. Identify and implement AI tools to enhance team productivity, GTM strategies, and business scalability. 2) AI Systems Architecture Development Set up evaluation frameworks for AI systems drive experimentations to optimize performance Lead the development and integration of AI agents for business automation (e.g., customer support, operations, GTM workflows). Rapidly prototype with AI tools iterating from proof-of-concept (POC) to full-scale production deployment, aim to minimize software development costs and maximize ROI 3) Technical Leadership Strategy Assist in developing AI roadmaps and strategies to drive innovation and long term efficiency. Ensure AI solutions align with business objectives, compliance standards, and scalability needs. Establish best practices for AI governance and continuously drive learning within the team. Preferred Qualifications : Experience in natural language processing (NLP) and conversational AI development. Familiarity with cloud platforms AWS / GCP / Azure. Strong problem-solving and analytical skills with a focus on performance optimization. Excellent communication skills to collaborate with cross-functional teams effectively. Experience with machine learning frameworks and tools B.S. or M.S. in Computer Science or 6+ years in software development experience