1629 Cloud Platforms Jobs - Page 44

IaaS Strategy & Architecture: PaaS Enablement: CaaS Leadership: Database Management: Automation & Infrastructure as Code: Governance & Compliance: Stakeholder Engagement: Required Candidate profile You'll contribute to the platform's reliability, scalability, and security and support a DevSecOps culture through strong collaboration, infrastructure-as-code practices, and continuous improvement

JOB OVERVIEW: The Data Analytics and Insights Manager will play a pivotal role in driving data-driven decision-making by utilizing advanced analytics, artificial intelligence (AI), and machine learning techniques. This role will focus on leveraging technology to automate data extraction, generate actionable insights, and provide predictive analytics that will support business growth,. The ideal candidate will be responsible for leveraging technology to automate data integration from diverse sources, mining data to identify key trends, and delivering strategic insights that drive the optimization of marketing and sales strategies. KEY STAKEHOLDERS: INTERNAL Senior Sales Leadership, Marketing Team and Commercial Teams KEY STAKEHOLDERS: EXTERNAL : External Data Providers, Market Research agencies REPORTING STRUCTURE: Reports to Head Strategic Marketing ESSENTIAL QUALIFICATION: Bachelors degree in Data Science, Business Analytics, Marketing, or related fields. Additional certifications in AI, machine learning, or data analytics platforms preferred. RELEVANT EXPERIENCE: Minimum of 2+ years in data analytics, business intelligence, or related fields. Proficiency in predictive analytics, machine learning, and data science techniques. Experience with Salesforce, CRM systems, and data extraction technologies. Familiarity with the Pharma domain is an advantage. Knowledge of Marketo is a plus. Key Roles/Responsibilities KEY ROLES/RESPONSIBILITIES: Data Extraction & Automation: Use advanced data extraction techniques, including automation tools and web scraping, to gather critical data on market trends, Drive automation initiatives to streamline data collection processes and increase efficiency Predictive Analytics & Insights Generation: Leverage machine learning and AI-driven algorithms to analyze historical and current data to predict future trends and sales opportunities. Provide actionable insights to enhance lead generation, conversion rates, and overall business performance. Competitor & Market Trend Analysis: Conduct ongoing competitor analysis using automated tools to extract competitive intelligence. Generate market trend insights, helping the business to stay competitive and refine its strategy in response to external changes. Salesforce Data Analytics: Utilize Salesforce data and other integrated platforms to perform deep data analysis, track sales performance, and generate insights that drive sales team effectiveness. Automate data flow and reporting processes within Salesforce to ensure real-time, actionable insights. Collaboration with Sales and Marketing Teams: Work closely with the Inside Sales and Marketing teams to identify key performance indicators (KPIs) and analytics that support lead generation, sales optimization, and marketing strategies. Provide data-driven recommendations to drive decision-making and improve marketing campaigns. Advanced Reporting & Visualization Design and implement interactive dashboards and reports using tools like Power BI, Tableau, or Qlik. Create and deliver professional PowerPoint presentations summarizing key findings and actionable recommendations . Support Inside Sales Efforts: Use data insights to optimize inside sales strategies, ensuring that the sales team has access to high-quality leads and relevant market data. Conduct segmentation analysis, targeting, and scoring to improve sales efficiency. Key Competencies Advanced Data Analytics Skills: Strong background in data analytics, predictive modeling, and machine learning. Ability to apply statistical and algorithmic methods to analyze and predict trends. Technical Proficiency: Expertise in data extraction, automation, AI, and machine learning platforms. Proficiency in tools such as Python, R, SQL, and cloud platforms for large-scale data processing and analysis. Salesforce Experience: Proficiency in analyzing and leveraging Salesforce data to extract business insights, enhance lead generation, and optimize sales processes. Automation & Web Scraping : Expertise in using automation tools and web scraping techniques to collect data from external sources and industry reports. Business Acumen & Insight Generation: Strong ability to translate data insights into actionable business strategies, particularly to optimize sales, marketing, and competitive positioning Responsibilities Qualifications ESSENTIAL QUALIFICATION: Bachelors degree in Data Science, Business Analytics, Marketing, or related fields. Additional certifications in AI, machine learning, or data analytics platforms preferred.

We are looking for a dynamic and experienced AI & Digital Transformation Specialist to join our team and drive innovation in our digital strategy across BFSI operations. The ideal candidate will have hands-on experience in AI/ML, automation, and Global Command Centre (GCC) operations using Microsoft technologies and cloud platforms. Roles and Responsibilities Utilize Microsoft Suite (Power BI, Power Automate, Azure AI, Dynamics 365) to build scalable dashboards and solutions. Lead and support Global Command Centre (GCC) operations for real-time monitoring and AI/digital integration. Drive end-to-end digital transformation from strategy and planning to execution—leveraging AI, RPA, NLP, and cloud platforms (Azure). Collaborate cross-functionally with IT, business teams, and leadership to align AI/digital roadmaps with BFSI regulatory and operational needs. Analyze large datasets to extract insights and present findings using data storytelling and visualization tools. Design, deploy, and optimize AI/ML models for use cases such as fraud detection, customer analytics, risk management, and process automation. Preferred Candidate Profile 2–5 years of experience in AI/ML, digital transformation, and GCC operations in the BFSI sector. Strong expertise in Microsoft Power Platform (Power BI, Power Apps, Power Automate), Azure AI , and Teams/SharePoint automation. Demonstrated ability to plan and implement AI/digital strategy , assess business needs, and deploy scalable tech solutions. Technical proficiency in Python, SQL, TensorFlow/PyTorch , RPA tools (UiPath / Blue Prism) , and cloud platforms. Excellent problem-solving skills, stakeholder management, and ability to work in agile, cross-functional environments.

Company Overview: At Codvo, software and people transformations go hand-in-hand We are a global empathy led technology services company Product innovation and mature software engineering are part of our core DNA Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results About the Role: We are seeking a highly experienced and visionary AI Senior Technical Lead to drive the technical direction and execution of our AI initiatives This role is pivotal in shaping our AI strategy, leading a team of talented AI engineers, and ensuring the delivery of innovative and impactful AI solutions As a technical leader, you will be responsible for defining architectural vision, driving best practices, and fostering a culture of technical excellence across diverse AI domains Responsibilities: Technical Leadership & Strategy: Define and communicate the technical vision and strategy for AI projects Lead the architectural design and implementation of complex AI systems Evaluate and recommend emerging AI technologies and methodologies Drive the adoption of best practices for AI development, deployment, and maintenance Contribute to the strategic planning of AI initiatives, aligning them with business goals Team Leadership & Mentorship: Lead and mentor a team of AI engineers, providing technical guidance and support Foster a collaborative and innovative team environment Conduct code reviews and ensure code quality Identify and address skill gaps within the team Facilitate knowledge sharing and continuous learning AI System Development & Implementation: Oversee the development and deployment of scalable and robust AI solutions Ensure the performance, reliability, and security of AI systems Drive the development of AI pipelines and infrastructure Lead the integration of AI models with existing systems and applications Troubleshoot and resolve complex technical issues Research & Innovation: Stay abreast of the latest advancements in AI and machine learning Identify opportunities to apply AI to solve complex business challenges, including opportunities within Generative AI Drive research and development efforts to explore new AI technologies Evaluate and prototype new AI solutions Collaboration & Communication: Collaborate with cross-functional teams, including product managers, data scientists, and software engineers Communicate complex technical concepts to both technical and non-technical audiences Provide technical presentations and demonstrations Document technical designs, code, and processes Required Skills and Qualifications: EducationBatchelors or Masters or Ph.D in Computer Science, Artificial Intelligence, Machine Learning, or a related field Experience: 8+ years of experience in AI/ML development, with a proven track record of leading complex AI projects Extensive experience in designing and implementing scalable AI systems Proven experience in leading and mentoring technical teams Deep understanding of machine learning and deep learning algorithms and architectures Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services Technical Skills: Expertise in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Strong understanding of AI infrastructure and deployment strategies Experience with MLOps best practices Experience with vector databases, and LLM implementations Proficiency in software development principles and best practices Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) Soft Skills: Exceptional leadership and communication skills Strong problem-solving and analytical skills Ability to think strategically and drive innovation Excellent interpersonal and collaboration skills Strong presentation skills Preferred Qualifications: Experience with Generative AI technologies and methodologies (e.g., GANs, Diffusion Models, Transformers for generation) Experience with natural language processing (NLP) or computer vision Contributions to open-source AI projects Experience with distributed systems and big data technologies Experience with prompt engineering

About The Role Senior AI Engineer At Codvo, software and people transformations go hand-in-hand We are a global empathy-led technology services company where product innovation and mature software engineering are embedded in our core DNA Our core values of Respect, Fairness, Growth, Agility, and Inclusiveness guide everything we do We continually expand our expertise in digital strategy, design, architecture, and product management to offer measurable results and outside-the-box thinking About the Role: We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and implementation of robust and scalable pipelines and backend systems for our Generative AI applications In this role, you will be responsible for orchestrating the flow of data, integrating AI services, developing RAG pipelines, working with LLMs, and ensuring the smooth operation of the backend infrastructure that powers our Generative AI solutions Responsibilities: Generative AI Pipeline Development: Design and implement efficient and scalable pipelines for data ingestion, processing, and transformation, tailored for Generative AI workloads Orchestrate the flow of data between various AI services, databases, and backend systems within the Generative AI context Build and maintain CI/CD pipelines for deploying and updating Generative AI services and pipelines Data and Document Ingestion: Develop and manage systems for ingesting diverse data sources (text, images, code, etc.) used in Generative AI applications Implement OCR and other preprocessing techniques to prepare data for use in Generative AI pipelines Ensure data quality, consistency, and security throughout the ingestion process AI Service Integration: Integrate and manage external AI services (e.g., cloud-based APIs for image generation, text generation, LLMs) into our Generative AI applications Develop and maintain APIs for seamless communication between AI services and backend systems Monitor and optimize the performance of integrated AI services within the Generative AI pipeline Retrieval Augmented Generation (RAG) Pipelines: Design and implement RAG pipelines to enhance Generative AI capabilities with external knowledge sources Develop and optimize data retrieval and indexing strategies for RAG systems used in conjunction with Generative AI Evaluate and improve the accuracy and relevance of RAG-generated responses in the context of Generative AI applications Large Language Model (LLM) Integration: Develop and manage interactions with LLMs through APIs and SDKs within Generative AI pipelines Implement prompt engineering strategies to optimize LLM performance for specific Generative AI tasks Analyze and debug LLM outputs to ensure quality and consistency in Generative AI applications Backend Services Ownership: Design, develop, and maintain backend services that support Generative AI applications Ensure the scalability, reliability, and security of backend infrastructure for Generative AI workloads Implement monitoring and logging systems for backend services and pipelines supporting Generative AI Troubleshoot and resolve backend-related issues impacting Generative AI applications Required Skills and Qualifications: EducationBachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field Experience: 5+ years of experience in AI/ML development with a focus on building and deploying AI pipelines and backend systems Proven experience in designing and implementing data ingestion and processing pipelines Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services Technical Skills: Expertise in Python and relevant AI/ML libraries Strong understanding of AI infrastructure and deployment strategies Experience with data engineering and data processing techniques Proficiency in software development principles and best practices Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) Experience with version control (Git) Experience with RESTful APIs and API development Experience with vector databases and their application in AI/ML, particularly for similarity search and retrieval Generative AI Specific Skills: Familiarity with Generative AI concepts and techniques (e.g., GANs, Diffusion Models, VAEs, LLMs) Experience with integrating and managing Generative AI services Understanding of RAG pipelines and their application in Generative AI Experience with prompt engineering for LLMs in Generative AI contexts Soft Skills: Strong problem-solving and analytical skills Excellent communication and collaboration skills Ability to work in a fast-paced environment Preferred Qualifications: Experience with OCR and document processing technologies Experience with MLOps practices for Generative AI Contributions to open-source AI projects Strong experience with vector databases and their optimization for Generative AI applications Experience 5+ years Shift Time 2:30PM to 11:30PM Show more Show less

Key Responsibilities: Design, develop, and maintain RESTful APIs and microservices using Spring Boot . Architect and implement scalable and high-performance software systems . Work with relational databases such as Oracle, PostgreSQL, MySQL , or SQL Server . Collaborate closely with solution architects, development managers , and cross-functional teams to ensure technical excellence and alignment with business goals. Integrate and work with cloud platforms such as AWS or Azure , and implement CI/CD pipelines using tools like Jenkins or GitLab . Ensure best practices in coding, design patterns, and development methodologies . Mentor and guide junior developers, fostering a culture of continuous improvement and technical innovation. Skills & Qualifications: Bachelors degree in Computer Science , Engineering , or a related field (B.Tech preferred). 10+ years of hands-on experience in Java/J2EE application development. Expertise in frameworks and tools such as Spring (Boot, MVC, Security), Hibernate , and Microservices . Experience with Kafka or other real-time messaging and event streaming platforms . Solid understanding and practical experience with Agile methodologies . Proficient in cloud computing environments (AWS/Azure) and DevOps practices . Strong leadership, communication, and team management skills , with the ability to mentor developers and lead technical discussions.

Kiya.ai is seeking a skilled and motivated Java Developer with a strong background in developing modern B2C web applications and backend services within enterprise environments. The ideal candidate will have robust experience in Java-based APIs, batch/scheduled services in a cloud setup, and front-end development with Angular 12+. Experience with enterprise standards, Agile methodologies, and DevOps tools such as GitLab and Jira is essential. Key Responsibilities: Design, develop, and maintain Java-based APIs and batch/scheduled services deployed in cloud environments (AWS, Azure, or GCP). Collaborate with cross-functional teams to build scalable and robust B2C applications. Troubleshoot and address defects, resolve security vulnerabilities, and handle production triaging and issue resolution. Participate in Agile/Scrum ceremonies , ensuring the timely delivery of high-quality code. Contribute to the automation of workflows and CI/CD pipelines using GitLab. Ensure adherence to enterprise coding standards and best practices. Work closely with QA and DevOps teams to ensure seamless integration and deployment. Primary Skills: Strong hands-on experience in Java, Spring Boot, and REST APIs . Experience with batch processing (e.g., Spring Batch, Quartz). Familiarity with cloud platforms ( AWS, Azure, or GCP ). Proficiency in using Git/GitLab for source control and pipeline automation. Experience with Agile/Scrum methodology and Jira as a task-tracking tool. Secondary Skills: Front-end development using Angular 12+ . Understanding of responsive UI design and integration with REST APIs. Knowledge of unit testing frameworks (e.g., JUnit, Jasmine/Karma for Angular). Nice to Have: Experience in microservices architecture. Knowledge of containerization tools (Docker, Kubernetes). Exposure to monitoring/logging tools (e.g., ELK stack, Prometheus, Grafana). Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. Strong communication and collaboration skills. Problem-solving attitude with attention to detail and a proactive approach.

About Talentica Software Talentica Software is a boutique software development company founded by industry veterans and ex-IITB graduates. We specialize in helping startups build innovative products using the latest tools and technologies. With over 21 years of experience, we have collaborated with more than 180 startups, primarily in the US, leading to many successful exits. In 2022, Talentica was recognized as India's Great Mid-Size Workplace by Great Place to Work. Position: Python + AI Developer We're on the lookout for a passionate Python + AI Developer who is excited about building innovative AI solutions. If you have strong hands-on Python skills, experience in developing cross-platform software, and a keen interest in AI, cloud platforms, and security, we think you'll be a perfect fit! Key Responsibilities: Develop and maintain a cutting-edge platform that drives the future of the AI Agent stack. Contribute to the innovation of the next-generation AI Agent stack by leveraging open-source technologies such as LangChain. Drive outcomes from customer needs to customer value in production. Ensure product security by following and reacting to CVE findings using tools such as GitHub security scanner, Black Duck, and common virus scanning tools. Participate in code reviews, testing, and debugging to ensure the reliability and efficiency of our products. Qualifications: Education: BE/BTech in any branch from IIT, NIT, BITS, VJTI, COEP, or other top institutes in India. Experience: 4-6 years of relevant experience. Technical Skills: Proven track record of developing cross-platform software. Hands-on expertise in Python coding. Understanding of software deployment and distribution systems (e.g., npm, Homebrew, Chocolatey, CI/CD systems, PyPI, Conda). Experience with cloud platforms and containerization (e.g., AWS, Azure, GCP, Docker, Kubernetes). Strong understanding of software security practices and tools. Good to Have Skills: Experience building AI agents. Familiarity with React and TypeScript (bonus). Knowledge of security, governance, and enterprise compliance. Experience developing and deploying for the Windows platform. Passion for creating a good developer experience and documentation. Soft Skills: Excellent problem-solving skills and ability to work in a fast-paced, results-driven environment. Effective communication skills and ability to collaborate well in a distributed team. Passion for continuous learning and staying up to date with industry trends. What You'll Find Here: Culture of Innovation: We focus on technology expertise and do not take on maintenance projects. Endless Learning Opportunities: Stay ahead of the curve by exploring advancements in your field and applying them to create innovative products. Talented Peers: Work alongside experienced graduates from India's top engineering colleges. Flexibility to Fit Your Life: We prioritize work-life balance and offer flexible schedules with remote working options. Great Culture: 82% of our employees recommend us to their friends, according to Glassdoor.

Hands-on AI & ML Development: Build, train, and deploy ML models from classical techniques (Classification, Regression, Forecasting) to advanced deep learning, LLMs, and Generative AI. Perform feature engineering, statistical analysis, and model tuning to enhance predictive capabilities. Work with big data tools (Hadoop, PySpark, Hive) to process large datasets efficiently. Develop AI-driven solutions tailored for industries like Retail, CPG, BFSI, Healthcare, and eCommerce. Optimize and automate machine learning pipelines for scalable deployment. End-to-End AI/ML Deployment: Own the full ML lifecycle , from development to deployment and monitoring. Collaborate with Data Engineering teams to build production-ready ML pipelines. Work with cloud platforms such as Azure, AWS, GCP, or Databricks for model deployment and monitoring. Design and implement A/B testing strategies to measure model impact. Project Execution & Delivery: Drive multiple AI/ML initiatives from concept to execution , ensuring quality and timely delivery. Partner with cross-functional teams (Product, Data Engineering, Business) to translate business problems into scalable AI solutions . Own project roadmaps, track milestones, and ensure stakeholder alignment. Communicate AI/ML concepts effectively to both technical and non-technical stakeholders . Leadership & Team Growth: Lead by doing mentor and guide a high-performance team of data scientists. Set technical direction, review code, and establish best practices in AI/ML development. Foster a culture of continuous learning, innovation, and hands-on problem-solving . Provide career development guidance and help team members achieve technical excellence. What You Bring to the Table: 8+ years of hands-on experience in Data Science & AI , with strong expertise in ML, Python, and SQL . Exposure to Generative AI Should have worked on at least a few POCs or pilot projects leveraging Gen AI capabilities Deep understanding of ML algorithms , including NLP, LLMs, forecasting, and optimization techniques. Proven track record of building and deploying machine learning models in production environments. Expertise in at least one cloud platform: AWS, Azure, GCP, or Databricks . Strong grasp of statistics, probability, and causal inference . Ability to break down complex AI concepts for business stakeholders. Experience with big data tools (Hadoop, Hive, PySpark) and ML workflow automation . Bonus: Experience with Google Analytics, Adobe Analytics, or digital marketing analytics .

We are seeking a highly skilled GCP Data Engineer with experience in designing and developing data ingestion frameworks, real-time processing solutions, and data transformation frameworks using open-source tools. The role involves operationalizing open-source data-analytic tools for enterprise use, ensuring adherence to data governance policies, and performing root-cause analysis on data-related issues. The ideal candidate should have a strong understanding of cloud platforms, especially GCP, with hands-on expertise in tools such as Kafka, Apache Spark, Python, Hadoop, and Hive. Experience with data governance and DevOps practices, along with GCP certifications, is preferred.

We are seeking an experienced Qlik Developer to design, develop, and optimize Qlik-based business intelligence solutions. The role involves creating and maintaining interactive dashboards and applications using QlikView and Qlik Sense. The candidate must have expertise in Qlik scripting, set analysis, and data modeling to provide actionable insights for business stakeholders. Responsibilities include extracting and transforming data from various sources, optimizing Qlik applications for performance, and collaborating with stakeholders to translate business requirements into technical solutions. Additional skills in SQL, cloud platforms, or other BI tools like Power BI or Tableau are a plus.

Job Summary: We are seeking a talented and motivated Senior Full Stack Developer to join our dynamic team. In this role, you will be responsible for designing, developing, and maintaining web applications and software solutions. You should have 3-4 years of experience and a strong passion for coding and problem-solving. We will prefer candidates from early-stage startups who have worked on products from scratch. Key Responsibilities:Design, develop, and maintain full-stack web applications and software solutions.Collaborate with cross-functional teams, including designers, product managers, and other developers, to deliver high-quality software products. Write clean, efficient, and maintainable code in accordance with best practices.Troubleshoot, debug, and optimize existing code to ensure optimal performance. Participate in code reviews to provide and receive constructive feedback.Stay up to date with emerging technologies and industry trends to make recommendations for improvement. Qualifications & Requirements: Bachelor's degree in computer science, Software Engineering, or a related field.3-4 years of professional experience as a Full Stack Developer.Strong proficiency in web development technologies, including HTML, CSS, JavaScript, and responsive web design.Proficiency with at least one modern front-end framework/library (e.g., React, Angular, Vue.js). Proficiency with at least one back-end technology and framework (e.g., Node.js, Python, Ruby on Rails, .NET).Experience working with databases (SQL, NoSQL) and writing efficient database queries. Familiarity with version control systems (e.g., Git).Strong problem-solving skills and an ability to work in a collaborative team environment.Excellent communication and interpersonal skills.Experience with cloud platforms and containerization (e.g., AWS, Docker) is a plus.

Job Summary: We are seeking a talented and motivated Senior Full Stack Developer to join our dynamic team. In this role, you will be responsible for designing, developing, and maintaining web applications and software solutions. You should have 3-4 years of experience and a strong passion for coding and problem-solving. We will prefer candidates from early-stage startups who have worked on products from scratch. Key Responsibilities:Design, develop, and maintain full-stack web applications and software solutions.Collaborate with cross-functional teams, including designers, product managers, and other developers, to deliver high-quality software products. Write clean, efficient, and maintainable code in accordance with best practices.Troubleshoot, debug, and optimize existing code to ensure optimal performance. Participate in code reviews to provide and receive constructive feedback.Stay up to date with emerging technologies and industry trends to make recommendations for improvement. Qualifications & Requirements: Bachelor's degree in computer science, Software Engineering, or a related field.3-4 years of professional experience as a Full Stack Developer.Strong proficiency in web development technologies, including HTML, CSS, JavaScript, and responsive web design.Proficiency with at least one modern front-end framework/library (e.g., React, Angular, Vue.js). Proficiency with at least one back-end technology and framework (e.g., Node.js, Python, Ruby on Rails, .NET).Experience working with databases (SQL, NoSQL) and writing efficient database queries. Familiarity with version control systems (e.g., Git).Strong problem-solving skills and an ability to work in a collaborative team environment.Excellent communication and interpersonal skills.Experience with cloud platforms and containerization (e.g., AWS, Docker) is a plus.

Job Summary: We are seeking a talented and motivated Senior Full Stack Developer to join our dynamic team. In this role, you will be responsible for designing, developing, and maintaining web applications and software solutions. You should have 3-4 years of experience and a strong passion for coding and problem-solving. We will prefer candidates from early-stage startups who have worked on products from scratch. Key Responsibilities:Design, develop, and maintain full-stack web applications and software solutions.Collaborate with cross-functional teams, including designers, product managers, and other developers, to deliver high-quality software products. Write clean, efficient, and maintainable code in accordance with best practices.Troubleshoot, debug, and optimize existing code to ensure optimal performance. Participate in code reviews to provide and receive constructive feedback.Stay up to date with emerging technologies and industry trends to make recommendations for improvement. Qualifications & Requirements: Bachelor's degree in computer science, Software Engineering, or a related field.3-4 years of professional experience as a Full Stack Developer.Strong proficiency in web development technologies, including HTML, CSS, JavaScript, and responsive web design.Proficiency with at least one modern front-end framework/library (e.g., React, Angular, Vue.js). Proficiency with at least one back-end technology and framework (e.g., Node.js, Python, Ruby on Rails, .NET).Experience working with databases (SQL, NoSQL) and writing efficient database queries. Familiarity with version control systems (e.g., Git).Strong problem-solving skills and an ability to work in a collaborative team environment.Excellent communication and interpersonal skills.Experience with cloud platforms and containerization (e.g., AWS, Docker) is a plus.

Job Summary: We are seeking a talented and motivated Senior Full Stack Developer to join our dynamic team. In this role, you will be responsible for designing, developing, and maintaining web applications and software solutions. You should have 3-4 years of experience and a strong passion for coding and problem-solving. We will prefer candidates from early-stage startups who have worked on products from scratch. Key Responsibilities:Design, develop, and maintain full-stack web applications and software solutions.Collaborate with cross-functional teams, including designers, product managers, and other developers, to deliver high-quality software products. Write clean, efficient, and maintainable code in accordance with best practices.Troubleshoot, debug, and optimize existing code to ensure optimal performance. Participate in code reviews to provide and receive constructive feedback.Stay up to date with emerging technologies and industry trends to make recommendations for improvement. Qualifications & Requirements: Bachelor's degree in computer science, Software Engineering, or a related field.3-4 years of professional experience as a Full Stack Developer.Strong proficiency in web development technologies, including HTML, CSS, JavaScript, and responsive web design.Proficiency with at least one modern front-end framework/library (e.g., React, Angular, Vue.js). Proficiency with at least one back-end technology and framework (e.g., Node.js, Python, Ruby on Rails, .NET).Experience working with databases (SQL, NoSQL) and writing efficient database queries. Familiarity with version control systems (e.g., Git).Strong problem-solving skills and an ability to work in a collaborative team environment.Excellent communication and interpersonal skills.Experience with cloud platforms and containerization (e.g., AWS, Docker) is a plus.

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII: At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Team Overview: Every time a guest enters a Target store or browses Target.com nor the app, they experience the impact of Targets investments in technology and innovation. Were the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 5,000 of engineers, data scientists, architects and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guestsand we do so with a focus on diversity and inclusion, experimentation and continuous learning. Position Overview: As a Lead Data Engineer , you will serve as the technical anchor for the engineering team, responsible for designing and developing scalable, high-performance data solutions . You will own and drive data architecture that supports both functional and non-functional business needs, ensuring reliability, efficiency, and scalability .Your expertise in big data technologies, distributed systems, and cloud platforms will help shape the engineering roadmap and best practices for data processing, analytics, and real-time data serving . You will play a key role in architecting and optimizing data pipelines using Hadoop, Spark, Scala/Java, and cloud technologies to support enterprise-wide data initiatives.Additionally, experience with API development for serving low-latency data and Customer Data Platforms (CDP) will be a strong plus. Key Responsibilities: Architect and build scalable, high-performance data pipelines and distributed data processing solutions using Hadoop, Spark, Scala/Java, and cloud platforms (AWS/GCP/Azure) . Design and implement real-time and batch data processing solutions , ensuring data is efficiently processed and made available for analytical and operational use. Develop APIs and data services to expose low-latency, high-throughput data for downstream applications, enabling real-time decision-making. Optimize and enhance data models, workflows, and processing frameworks to improve performance, scalability, and cost-efficiency. Drive data governance, security, and compliance best practices. Collaborate with data scientists, product teams, and business stakeholders to understand requirements and deliver data-driven solutions . Lead the design, implementation, and lifecycle management of data services and solutions. Stay up to date with emerging technologies and drive adoption of best practices in big data engineering, cloud computing, and API development . Provide technical leadership and mentorship to engineering teams, promoting best practices in data engineering and API design . About You: 7+ years of experience in data engineering, software development, or distributed systems. Expertise in big data technologies such as Hadoop, Spark, and distributed processing frameworks. Strong programming skills in Scala and/or Java (Python is a plus). Experience with cloud platforms (AWS, GCP, or Azure) and their data ecosystem (e.g., S3, BigQuery, Databricks, EMR, Snowflake, etc.). Proficiency in API development using REST, GraphQL, or gRPC to serve real-time and batch data. Experience with real-time and streaming data architectures (Kafka, Flink, Kinesis, etc.). Strong knowledge of data modeling, ETL pipeline design, and performance optimization . Understanding of data governance, security, and compliance in large-scale data environments. Experience with Customer Data Platforms (CDP) or customer-centric data processing is a strong plus. Strong problem-solving skills and ability to work in complex, unstructured environments . Excellent communication and collaboration skills, with experience working in cross-functional teams . Why Join Us Work with cutting-edge big data, API, and cloud technologies in a fast-paced, collaborative environment. Influence and shape the future of data architecture and real-time data services at Target. Solve high-impact business problems using scalable, low-latency data solutions . Be part of a culture that values innovation, learning, and growth . Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

QA - Automation - Cypress4 5-8 years of experience in automation testing, with at least 4 years of hands-on experience with Cypress. Strong understanding of web technologies (HTML, CSS, JavaScript) and web application frameworks. Proficient in programming languages such as JavaScript/TypeScript. Experience with version control systems, preferably Git. Familiarity with CI/CD tools such as Jenkins, GitLab CI, or CircleCI. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Knowledge of other testing frameworks and tools (e.g., Selenium, Jest, Mocha) is a plus. Experience with cloud platforms (AWS, Azure, GCP) is a plus.

Job description Job Title: AI Decision Science Manager Strategy & Consulting Global Network Management Level: 07 - Manager Location: Primary - Bengaluru, Secondary - Gurugram Must-Have Skills: Python, R, SQL, Machine Learning, Deep Learning, Cloud Platforms (AWS, Azure, GCP), Big Data Tools (Hadoop, Spark), Data Visualization (Power BI, Tableau), Team Management, Stakeholder Engagement, Mentoring, Project Management. Good-to-Have Skills: Azure, AWS, GCP, Familiarity with advanced analytical techniques, including machine learning (e.g., Random Forest, Gradient Boosting) and deep learning (e.g., RNN, CNN), Experience with Large Language Models (LLMs) and tools like ChatGPT, Hugging Face. Job Summary :As an AI Decision Science Manager, you will leverage your expertise in AI, data science, and the Consumer Goods & Services domain to deliver innovative, data-driven solutions for Accenture's global clients. You will lead multi-disciplinary teams to design, develop, and implement AI strategies that drive measurable business outcomes, enhancing customer experience, revenue growth, and operational efficiency. Roles & Responsibilities: Analyze extensive datasets from CG&S sources like Nielsen and IRI to synthesize actionable insights. Evaluate clients' AI and analytics maturity and develop data-driven solutions across various business domains. Lead the design and deployment of advanced analytics solutions using cutting-edge platforms and tools. Provide technical guidance on statistical and machine learning techniques. Collaborate with cross-functional teams to address CG&S pain points, including revenue growth management, route-to-market strategies, and demand forecasting. Stay updated on the latest advancements in AI and integrate innovative approaches into solutions. Professional & Technical Skills: Expertise in traditional statistical techniques (e.g., regression, time series) and machine learning methods (e.g., clustering, decision trees). Familiarity with optimization methods, including linear and evolutionary techniques. Strong communication skills for engaging both technical and non-technical stakeholders. Proven ability to lead client-facing roles and large project teams. Exceptional attention to detail and a proactive, problem-solving mindset. Additional Information: This role offers an opportunity to work in a dynamic and collaborative environment, driving innovation and delivering impactful results for global clients in the Consumer Goods & Services sector. About Our Company Qualification Experience: 7-9 years of direct experience in Data Science and AI within the Consumer Goods & Services industry. Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or an MBA specializing in Data Science.

We are seeking a highly experienced .Net Software Developer with a strong background in software architecture and expertise in Angular, containerization, cloud platforms, and CI/CD pipelines. The successful candidate will be responsible for design, develop, and deployment of scalable, secure, and high-performance applications. Key Responsibilities: Software Development & Implementation: Develop and maintain enterprise-grade applications using .Net Core/.Net Framework with a focus on performance, scalability, and security. Design and implement modern front-end applications using Angular. Build, integrate, and optimize APIs, microservices, and middleware solutions. Leverage containerization technologies (e.g., Docker, Kubernetes) to ensure applications are portable and maintainable. Implement cloud-native solutions using Azure, AWS, or Google Cloud Platform. Architectural Design & Strategy: Define and develop architectural blueprints for enterprise applications, ensuring alignment with business objectives. Select and evaluate tools, frameworks, and technologies to improve development and operational efficiency. Maintain technical documentation, ensuring clarity and accessibility for team members. Continuous Integration & Deployment (CI/CD): Design and maintain CI/CD pipelines for automated building, testing, and deployment. Ensure deployment processes are robust, automated, and aligned with industry best practices. Team Collaboration: Collaborate with cross-functional teams to gather and analyze business and technical requirements. Participate in code reviews to maintain code quality and reliability. Monitoring & Maintenance: Monitor application performance, resolve complex technical issues, and optimize system reliability. Ensure high availability of applications by implementing robust monitoring and alerting solutions. Stay updated on the latest trends in .Net development, cloud computing, containerization, and CI/CD technologies.

Role & responsibilities Key Responsibilities Software Development & Implementation: Develop and maintain enterprise-grade applications using .Net Core/.Net Framework with a focus on performance, scalability, and security. Design and implement modern front-end applications using Angular. Build, integrate, and optimize APIs, microservices, and middleware solutions. Leverage containerization technologies (e.g., Docker, Kubernetes) to ensure applications are portable and maintainable. Implement cloud-native solutions using Azure, AWS, or Google Cloud Platform. Architectural Design & Strategy: Define and develop architectural blueprints for enterprise applications, ensuring alignment with business objectives. Lead the adoption of microservices architecture, container orchestration, and cloud best practices. Select and evaluate tools, frameworks, and technologies to improve development and operational efficiency. Maintain technical documentation, ensuring clarity and accessibility for team members. Continuous Integration & Deployment (CI/CD): Design and maintain CI/CD pipelines for automated building, testing, and deployment. Work closely with DevOps engineers to streamline infrastructure provisioning and deployment workflows. Ensure deployment processes are robust, automated, and aligned with industry best practices. Team Collaboration & Leadership: Collaborate with cross-functional teams to gather and analyze business and technical requirements. Mentor junior developers, ensuring adherence to coding standards and architectural principles. Conduct thorough code reviews to maintain code quality and reliability. Monitoring & Maintenance: Monitor application performance, resolve complex technical issues, and optimize system reliability. Ensure high availability of applications by implementing robust monitoring and alerting solutions. Stay updated on the latest trends in .Net development, cloud computing, containerization, and CI/CD technologies. Technical Skills: .Net Framework/Core: Advanced expertise in C, ASP.Net, LINQ, and Entity Framework. Angular: Proficiency in building responsive and dynamic single-page applications (SPAs). Containers: Strong knowledge of Docker and container orchestration platforms like Kubernetes. Cloud Platforms: Hands-on experience with Azure, AWS, or Google Cloud. CI/CD Pipelines: Proficiency in tools like Azure DevOps, Jenkins, GitHub Actions, or GitLab CI/CD. Database Management: Experience with SQL Server, NoSQL databases, and database performance optimization. Software Architecture: Expertise in designing scalable, fault-tolerant, and secure architectures using modern design patterns (e.g., microservices, SOA). Soft Skills: Strong analytical, problem-solving, and decision-making skills. Excellent written and verbal communication skills. Leadership qualities, with the ability to mentor and inspire team members. Adaptability to work in an Agile/Scrum environment. Preferred candidate profile Education & Experience: Bachelors or Masters degree in Computer Science, Software Engineering, or related field. Minimum 8+ years of professional experience in software development, with at least 3+ years in an architect or technical lead role. Preferred Qualifications: Certifications in .Net, Azure, AWS, or other relevant technologies. Experience with monitoring tools like Prometheus, Grafana, or ELK stack. Familiarity with Infrastructure as Code (IaC) tools like Terraform or CloudFormation. Exposure to other front-end frameworks like React or Vue.js is a bonus.

Project Role : Cloud Migration Engineer Project Role Description : Provides assessment of existing solutions and infrastructure to migrate to the cloud. Plan, deliver, and implement application and data migration with scalable, high-performance solutions using private and public cloud technologies driving next-generation business outcomes. Must have skills : Google Cloud Platform Architecture Good to have skills : Microsoft Azure ArchitectureMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Migration Engineer, you will provide a comprehensive assessment of existing solutions and infrastructure to facilitate their migration to the cloud. Your typical day will involve planning, delivering, and implementing application and data migration strategies that leverage both private and public cloud technologies. You will focus on creating scalable and high-performance solutions that drive next-generation business outcomes, ensuring that the migration process aligns with organizational goals and enhances operational efficiency. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to ensure seamless migration processes.- Analyze and optimize existing cloud architectures for improved performance and cost-efficiency.- Design and architect cloud infrastructure solutions using Infrastructure as Code (IaC) and Policy as Code (PaC) principles- Develop and implement strategies for secure and scalable cloud environments, leveraging DevSecOps practices- Collaborate with development, operations, and security teams to ensure seamless integration and deployment of cloud infrastructure- Create and maintain automated deployment pipelines for cloud resources using tools like Terraform and Ansible- Define and enforce policies for cloud resource management and security using tools like Sentinel- Conduct regular assessments of cloud infrastructure to ensure compliance with security standards and best practices- Stay updated with the latest cloud technologies, trends, and best practices to continuously improve infrastructure design and implementation Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Platform Architecture.- Good To Have Skills: Experience with Microsoft Azure Architecture.- Strong understanding of cloud migration strategies and best practices.- Familiarity with infrastructure as code tools and automation frameworks.- Experience in assessing and optimizing cloud resource utilization.- Strong understanding of Infrastructure as Code (IaC) and Policy as Code (PaC) concepts- Proficiency in cloud platforms (esp. Azure, GCP) and containerization technologies (Docker, Kubernetes)- Experience with DevSecOps practices and tools- Experience with security and compliance standards in cloud environments.- Knowledge of automation and orchestration tools Additional Information:- The candidate should have minimum 3 years of experience in Google Cloud Platform Architecture.- Proven experience (min. 3 years) in cloud infrastructure architecture and design- This position is based at our Hyderabad office.- A 15 years full time education is required.- Certification in cloud technologies (e.g., HashiCorp Certified:Terraform Associate, Google Cloud Professional Cloud Architect, Microsoft Certified:Azure Solutions Architect Expert) Qualification 15 years full time education

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : PySpark Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : BE Project Role :Software Development Engineer Project Role Description :Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have Skills :PySparkGood to Have Skills :No Industry SpecializationJob :Key Responsibilities :Overall 8 years of experience working in Data Analytics projects, Work on client projects to deliver AWS, PySpark, Databricks based Data engineering Analytics solutions Build and operate very large data warehouses or data lakes ETL optimization, designing, coding, tuning big data processes using Apache Spark Build data pipelines applications to stream and process datasets at low latencies Show efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data. Technical Experience :Minimum of 2 years of experience in Databricks engineering solutions on any of the Cloud platforms using PySpark Minimum of 5 years of experience years of experience in ETL, Big Data/Hadoop and data warehouse architecture delivery Minimum 3 year of Experience in one or more programming languages Python, Java, Scala Experience using airflow for the data pipelines in min 1 project 2 years of experience developing CICD pipelines using GIT, Jenkins, Docker, Kubernetes, Shell Scripting, Terraform. Must be able to understand ETL technologies and translate into Cloud (AWS, Azure, Google Cloud) native tools or Pyspark. Professional Attributes :1 Should have involved in data engineering project from requirements phase to delivery 2 Good communication skill to interact with client and understand the requirement 3 Should have capability to work independently and guide the team. Educational Qualification:Additional Info : Qualification BE

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Tableau Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project goals are met, facilitating discussions to address challenges, and guiding your team through the development process. You will also engage in strategic planning to align application functionalities with business objectives, ensuring that the solutions provided are effective and efficient. Your role will require you to be proactive in identifying areas for improvement and implementing best practices to enhance application performance and user experience. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate training and development opportunities for team members to enhance their skills.- Monitor project progress and ensure timely delivery of application features.- Design, develop, and maintain advanced Tableau dashboards and reports based on business requirements.- Collaborate with business analysts, data engineers, and stakeholders to gather requirements and define key performance indicators (KPIs).- Ensure data accuracy and consistency by implementing robust data validation and QA processes.- Optimize dashboard performance and troubleshoot data or performance issues.- Integrate Tableau with different data sources such as SQL Server, Excel, Snowflake, or cloud-based databases.- Develop and document technical design specifications and business rules.- Support ad-hoc reporting and visualization requests from various business units.- Provide training and guidance to junior Tableau developers and end users.- Stay up to date with new Tableau features and best practices to continually improve the BI environment. Professional & Technical Skills: - The candidate should have minimum 5 years of experience in Tableau.- Strong analytical skills to interpret data and provide actionable insights.- Experience with data visualization best practices to create effective dashboards.- Familiarity with SQL for data extraction and manipulation.- Ability to work collaboratively in a team environment and communicate effectively.Strong analytical and problem-solving skills.- Excellent communication and interpersonal abilities.- Ability to work independently and in a collaborative, fast-paced team environment.- Detail-oriented with a commitment to delivering high-quality, accurate, and user-friendly dashboards.- Strong organizational skills and ability to manage multiple projects simultaneously.- Proactive in identifying opportunities for automation and process improvement.- 6+ years of professional experience with Tableau Desktop and Tableau Server.- Proficient in creating interactive dashboards, visualizations, and complex calculations using LOD expressions, parameters, sets, and filters.- Strong SQL skills with experience querying and managing large datasets.- Experience with data blending, data modeling, and creating extracts from multiple data sources.- Knowledge of Tableau Prep or other ETL tools is a plus.- Experience integrating Tableau with cloud platforms like AWS, Azure, or Google Cloud is preferred.- Familiarity with scripting languages (Python, R) for advanced analytics is an advantage.- Exposure to Agile/Scrum development methodologies. Additional Information:- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Azure DevOps Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :Experienced Infrastructure Engineer to manage the setup, configuration, and ongoing support of environments across development, test, and production landscapes. This role will play a key part in coordinating with cross-functional teams and client stakeholders to ensure environments are provisioned, maintained, and supported in alignment with delivery timelines and agreed scope. Roles & Responsibilities:-Provision and maintain multiple environments (Dev, Test, UAT, Pre-Prod, P-rod) per delivery schedule.-Manage environment availability and capacity for project and BAU needs.-Coordinate refreshes, backups, and environment cloning activities as per project requirements.-Work closely with application and development teams to support environment readiness.-Manage patching, updates, and configuration of infrastructure components.-Maintain documentation of environment architecture, dependencies, and configurations.-Implement monitoring solutions and respond to environment-related incidents or issues.-Support deployment activities and provide root cause analysis for environment failures.-Ensure compliance with client standards, security policies, and audit requirements. Professional & Technical Skills: -Proven experience in infrastructure/environment management in enterprise projects.-Strong knowledge of cloud platforms (Azure preferred) and related tools.-Proficiency in OS management (Windows/Linux), networking, and storage fundamentals.-Experience with CI/CD pipelines, DevOps tools, and environment automation.-Familiarity with Microsoft Dynamics 365, Power Platform, or similar enterprise applications is a plus.-Good scripting knowledge (PowerShell, Bash, etc.) for automation and maintenance.-Strong problem-solving and analytical skills.-Excellent communication and stakeholder management skills. Additional Information:- The candidate should have minimum 7.5 years of experience in Microsoft Azure DevOps.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : .NET Architecture Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary The Principal Engineer is a key leadership role within the engineering product team, responsible for overseeing and guiding complex technical projects, driving innovation, and ensuring the successful delivery of high quality software products. This role involves a combination of hands-on technical work, strategic planning, and team mentorship. If you have the drive to lead and mentor engineering teams, ability to set technical direction for greenfield SaaS products and excellent communication skills to work with cross-functional teams, including product management and other stakeholders, this position is for youRoles and responsibilities:Technical Leadership:Guide the engineering team on best practices, architecture, and technology choices. Project Oversight:Ensure successful delivery of projects, from concept to production. Mentorship:Mentor junior and mid-level engineers, fostering a culture of continuous learning. Stakeholder Collaboration:Work closely with stakeholders to align technical solutions with business goals. Innovation and R&D:Drive innovation by staying updated with the latest technologies and trends.Technical experience & Professional attributes:Technical Skills: [MUST HAVE] Expertise in multiple languages (e.g, .Net). [MUST HAVE] Strong understanding of software design patterns, principles, and best practices. [MUST HAVE] Deep knowledge of AWS or other cloud platforms (Azure, Google Cloud). [MUST HAVE] Extensive experience in designing, developing, and maintaining SaaS applications. [MUST HAVE] Proficiency with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (Terraform, CloudFormation). Knowledge of database systems (SQL, NoSQL) and data architecture. Understanding of security best practices and frameworks.Leadership Skills: [MUST HAVE] Proven ability to lead and mentor engineering teams. [MUST HAVE] Ability to set technical direction and make high-stakes decisions. [MUST HAVE] Ability to lead the team as a product owner and drive the delivery of the product vision with the engineering teams. Excellent communication skills to work with cross-functional teams, including product management and other stakeholders. Strong analytical skills to address complex technical challenges. Ability to operate at highly varying levels of abstraction, from business strategy to product strategy to high-level technical design to detailed technical design to implementation. Ability to work effectively in an ever changing, complex technical environment. Experience driving for results across cross-functional teams while maintaining effective working relationships. Must possess strong interpersonal, organizational, presentation and facilitation skills. Must be results oriented and customer focused with an ability to make successful trade-offs that balance short- and long-term product goals. High-energy, self-starter with a positive mindset and with a can do attitude.Education qualifications::- Bachelors OR Masters Degree in Computer Science, Information Systems or related field; or equivalent combination of education/experience. Minimum Ten (10) years of experience in software development or engineering roles.- Proven experience in leading complex, large-scale projects.- Previous roles demonstrating technical leadership and architectural design skills." Qualification 15 years full time education