Feature Engineering Jobs in Hyderabad

Senior Search Engineer Full-Time | Hyderabad, India Department: Engineering Location: Hyderabad (On-site) Experience: 5+ Years Industry: Enterprise Software / Search Technology Employment Type: Full-Time Salary: Competitive & Based on Experience Job Summary We are seeking a highly experienced and technically proficient Senior Search Engineer with deep expertise in Apache Lucene and related search technologies. In this role, you will architect, develop, and optimize complex search functionalities within our enterprise platform. Your work will directly impact search scalability, performance, and accuracy across high-throughput, data-driven applications. Key Responsibilities Design, build, and maintain robust search infrastructure using Lucene and Lucene-based frameworks. Integrate Lucene search features into large-scale, enterprise-grade applications and manage ongoing system upgrades. Tune indexing strategies and optimize search algorithms for performance, accuracy, and efficiency. Conduct comprehensive performance testing and profiling to identify system bottlenecks and implement improvements. Create and manage custom analyzers, tokenizers, and filters to meet advanced business search requirements. Troubleshoot and resolve complex search-related issues across systems and environments. Monitor and evaluate emerging trends in search engines, text processing, and machine learning-based ranking. Work closely with cross-functional engineering teams and product owners to define and implement search-related features. Required Qualifications Bachelor's or Master s degree in Computer Science, Software Engineering, or a related technical field. 5+ years of hands-on experience in software engineering with a strong emphasis on search technologies. Deep knowledge and production-level experience with Apache Lucene. Proficiency in associated technologies such as Elasticsearch, Solr, or other Lucene-based libraries. Strong understanding of search algorithms, indexing mechanisms, and query optimization techniques. Solid foundation in data structures, algorithms, and object-oriented design principles. Experience working with high-throughput systems and scalable, distributed architectures. Preferred Skills (Nice to Have) Experience integrating search capabilities in cloud environments (e.g., Azure, AWS, or GCP). Familiarity with natural language processing (NLP), semantic search, and vector search technologies. Exposure to machine learning models for relevance tuning and personalized search. Background in performance benchmarking tools and profiling techniques. Lead the development of mission-critical search and indexing features used by enterprise customers. Be part of a collaborative team solving cutting-edge search performance challenges. Work in an environment that encourages innovation and continuous learning. Competitive compensation, modern tech stack, and ample growth opportunities. Qualification : Bachelor's or Masters degree in Computer Science, Software Engineering, or a related technical field.

Position: Solution Consultant SAP EAM Location: Hyderabad, Telangana, India Employment Type: Full-Time, Salaried Compensation: Base Salary + Bonus + Benefits About Innovapptive: Innovapptive is transforming the industrial workforce by connecting front-line workers, back-office teams, and assets through the only patented, Code-Free connected worker platform for SAP and IBM Maximo. Our platform digitizes manual, paper-based processes in maintenance, operations, and supply chain with highly configurable mobile apps, giving real-time visibility and actionable insights to back-office teams. Trusted by global leaders like Newmont Mining, Shell, UNICEF, and Reckitt Benckiser, we save companies millions by improving asset uptime, productivity, safety, and workforce efficiency. Backed by Tiger Global Management and recently funded by Vista Equity Partners, Innovapptive is rapidly growing and committed to empowering 350 million industrial front-line workers worldwide. Role Overview: The Solution Consultant will engage directly with plant maintenance leaders to consult on value improvement, maturity assessments, process enhancements, and mobility best practices. You will lead solution design workshops, drive adoption of Innovapptive s cloud-based SaaS connected worker solutions, and support customers in achieving key operational KPIs such as: Efficient plant maintenance execution Timely maintenance work completion Compliance with regulatory and industry standards Key Responsibilities: Collaborate with customers and internal teams to gather and prioritize requirements, translating them into actionable product features. Lead solution design workshops and create value models demonstrating cost savings and operational improvements. Document test scenarios and maintain traceability matrices aligned with business requirements. Promote rapid, agile solution iterations ensuring quality, efficiency, and speed to value. Ensure delivery timelines and quality standards are met, driving ROI and user adoption post-implementation. Partner with product management to influence roadmap and feature prioritization. Analyze user personas to tailor solutions that alleviate core pain points of maintenance professionals. Develop training materials and documentation to empower end-users. Collaborate across engineering, design, marketing, and sales teams to ensure aligned product development. Embrace a startup mindset adaptable, resilient, and entrepreneurial. Qualifications & Experience: Bachelor s degree in Computer Science, IT, or related field. 5+ years as a solution engineer or functional expert in Smart Manufacturing / Connected Plant applications. 3+ years domain experience in Maintenance and Operations. Strong expertise in Plant Maintenance processes: Work Order Planning & Scheduling, Notifications, Execution, Functional Locations, Inspections, and Permits. Experience with full cycle project implementations is preferred. Excellent analytical, problem-solving, organizational, and communication skills. Self-motivated, able to work independently and within teams. Leadership experience and project coordination skills are a plus. Certifications like CCBA or CBAP are desirable. What We Offer: Collaborative, innovative, and entrepreneurial work environment Opportunities to work with global brands on impactful projects Competitive salary and benefits including medical insurance for family Paid maternity and paternity leave Generous vacation and paid time off Bi-annual performance reviews and transparent feedback culture Extensive learning and development resources Active interest groups and clubs (Book Reading, Toastmasters, Sports, Music) Innovapptive is an equal opportunity employer committed to diversity and inclusion. Qualified applicants will receive consideration without regard to protected characteristics under applicable law. Qualification : Bachelors degree in Computer Science, IT, or related field.

Position: EAM Domain Expert Location: Hyderabad, India Employment Type: Full-Time, Salaried Compensation: Base Salary, Bonus, Medical Benefits About Innovapptive: At Innovapptive, we are transforming industrial operations by connecting front-line workers, back-office teams, and assets through our patented, code-free platform integrated with SAP and IBM Maximo. Our mobile-first connected worker solution digitizes maintenance, operations, and supply chain processes, empowering some of the world s largest brands including Shell, UNICEF, and Newmont Mining to improve asset uptime, productivity, safety, and workforce engagement. Backed by Tiger Global Management and Vista Equity Partners, Innovapptive is recognized as one of the most innovative tech platforms by Nasscom and is Great Place to Work (GPTW) certified for three consecutive years. Role Overview: We are seeking an experienced Maintenance and Reliability Domain Expert to join our team. You will play a key role collaborating with product management and professional services to align our Industrial SaaS offerings with the real-world needs of maintenance and reliability professionals. Your deep domain expertise will help shape product strategy, optimize workflows, and enhance the connected worker experience. Key Responsibilities: Serve as the subject matter expert on maintenance and reliability best practices, including Work Identification, Planning & Scheduling, Execution, and Closure. Collaborate with product management on feature prioritization, roadmap planning, and product enhancements. Analyze user personas maintenance professionals and technicians to deeply understand their pain points and workflow challenges. Optimize maintenance workflows to enhance technician productivity and reduce backlogs. Identify opportunities to minimize downtime via preventive and predictive maintenance strategies. Design and conceptualize user-centric solutions aligned with our mobile-first connected worker philosophy. Gather and prioritize requirements from customers and internal stakeholders into actionable product features. Develop training materials and documentation tailored to maintenance professionals. Stay abreast of emerging trends, technologies, and competitive offerings in maintenance and reliability. Champion rapid product iteration, driving efficiency, quality, and speed-to-market. Collaborate cross-functionally with engineering, design, marketing, professional services, and sales teams. Advocate for customers throughout the product lifecycle using data-driven decision making, user research, and usability studies. Thrive in a fast-paced, startup-like environment demonstrating adaptability, innovation, and results orientation. What You Bring: Required Qualifications: Bachelor s degree in a relevant field; advanced degree or certifications a plus. 8+ years of experience in industrial software focusing on maintenance and reliability processes. Strong expertise in Work Identification, Planning & Scheduling, Execution, and Closure. Excellent analytical, problem-solving, communication, and presentation skills. Ability and willingness to travel as needed. Preferred: Proven collaboration with cross-functional teams (product, engineering, professional services). Experience with mobile-first and connected worker technologies. What We Offer: Competitive compensation including stock options. Exceptional health, vision, and dental coverage for you and your family. Positive, innovative, and entrepreneurial work environment. Opportunity to work with global industry leaders. Generous vacation and paid time off. Paid maternity and paternity leave. Bi-annual performance reviews in an OKR-driven culture. Access to extensive learning & development resources. Participation in diverse interest groups and employee clubs (sports, music, Toastmasters, etc.). Innovapptive does not accept unsolicited resumes from search firms. Innovapptive is an equal opportunity employer committed to diversity and inclusion. All qualified applicants will receive consideration without regard to legally protected characteristics. Qualification : Bachelors degree in a relevant field; advanced degree or certifications a plus.

Product Lead Financials Reporting Location: Hyderabad Company: Arcesium Company Overview Arcesium is a global financial technology company delivering sophisticated solutions to solve complex data-driven challenges for some of the world's most advanced financial institutions. We are committed to relentless innovation in helping our clients anticipate risks, optimize operational efficiency, and achieve transformational business outcomes. Operating at the crossroads of finance and technology, Arcesium empowers team members to take ownership, think creatively, and contribute meaningfully from day one. About the Role We are looking for a Product Lead Financials Reporting to join our Product Management Group in Hyderabad. In this role, you will lead the development and enhancement of financial reporting products used by some of the world s most sophisticated hedge funds and asset managers. You will be responsible for defining product vision and strategy, translating market needs into impactful product capabilities, and working closely with engineering and cross-functional stakeholders to build solutions that support our clients evolving regulatory, financial, and operational needs. Key Responsibilities Product Strategy & Vision Define and drive the vision, strategy, and roadmap for financial reporting products, in alignment with Arcesium s overall platform goals. Conduct market research, client interviews, and competitive analysis to identify product opportunities and trends. Build and maintain a forward-looking product roadmap grounded in user needs, technical feasibility, and business value. Execution & Delivery Collaborate with engineering teams to convert specifications into scalable, high-quality financial reporting solutions. Own feature definition, product design, and delivery through iterative releases and feedback loops. Monitor progress through test cases and validation frameworks to ensure features meet both business and technical expectations. Stakeholder Management Communicate product strategy, project plans, and progress updates with internal and external stakeholders. Collaborate with other product managers and cross-functional teams to integrate financial reporting into broader solutions. Prepare documentation such as release notes, business cases, and technical briefs. What You ll Need Experience & Expertise 6+ years of total experience with at least 2 years in product management. Deep understanding of financial reporting processes in hedge funds, asset management, or other alternative investment domains. Strong grasp of financial instruments, accounting standards, and regulatory frameworks relevant to financial reporting. Skills & Tools Advanced Excel skills and strong data analysis capability. Experience working closely with software engineers in an Agile or collaborative product development setting. Familiarity with interpreting counterparty statements and managing complex data sets. Soft Skills Excellent written and verbal communication skills. Strong critical thinking and problem-solving abilities. Confident stakeholder management and influence across technical and business teams. Detail-oriented, self-driven, and highly organized with a collaborative mindset. What Sets You Apart A healthy mix of domain expertise, strategic thinking, execution rigor, and customer empathy. Ability to thrive in a high-performance, data-driven, and fast-paced environment. Passion for delivering innovative financial technology solutions at scale. Equal Opportunity Employer Arcesium is an equal opportunity employer committed to diversity and inclusion. We welcome candidates from all backgrounds and ensure a workplace free from discrimination.

Software Engineering PMTS (SDET) Software Engineering | Hyderabad, India | Full-Time About the Role Join Salesforce s Service Cloud team as a PMTS Q3 Engineer (Software Development Engineer in Test) focused on quality, automation, and engineering efficiency. You will work on cutting-edge customer service platforms that leverage AI-powered chatbots, unified communications, and real-time CRM integrations. The Q3 Engineering team is a highly accomplished group passionate about quality, tooling, and innovation. As a senior engineer, you will influence product design, quality culture, and delivery across multiple teams, ensuring trust and excellence. Key Responsibilities Lead and coordinate efforts to deliver high-quality software products across multiple scrum teams. Own complex and ambiguous features with a deep understanding of the Salesforce Service Cloud application. Define and implement quality assurance processes, automation frameworks, and validation techniques. Mentor junior engineers, influence quality methodologies, and drive best practices across teams. Participate actively in design reviews, test plan creation, and cross-team technical discussions. Develop, review, and maintain sophisticated automated test frameworks and scripts. Monitor feature quality, identify gaps, and lead initiatives to improve test coverage and automation health. Collaborate closely with product management and engineering to align quality efforts with business priorities. Foster a collaborative environment to encourage knowledge sharing and continuous improvement. Use telemetry, metrics, and data-driven insights to influence testing strategies and product quality. Required Skills & Experience 15+ years of relevant technical experience in software engineering and testing. Strong programming skills in Java, JavaScript, or similar languages. Deep understanding of system architecture, operating systems, databases, and object-oriented programming. Hands-on experience designing test plans, automation frameworks, and test specifications. Proficiency with testing methodologies, tools like Selenium WebDriver, Jenkins, and version control systems (e.g., Git). Experience building and optimizing functional/UI automation tests and API testing frameworks. Familiarity with Agile development, Scrum, and quality management systems. Strong communication, collaboration, leadership, and mentoring skills. Ability to handle multiple projects, triage issues, and react quickly to changes. Bachelor s degree or equivalent in Computer Science, Engineering, or related field. Ability to pass Salesforce security and background checks. Highly Desirable Experience with open-source test tools and unit test automation frameworks. Familiarity with industry quality and usability best practices. Experience with CI/CD orchestration tools like Jenkins. Ability to optimize and automate processes, code, and testing efforts. Work on innovative, large-scale cloud platforms impacting millions of users worldwide. Collaborate with some of the top quality engineering experts at Salesforce. Be part of a culture that values trust, innovation, and continuous learning. If you want to lead quality initiatives in a fast-paced, cutting-edge environment and have a passion for excellence, apply today! Qualification : Bachelors degree or equivalent in Computer Science, Engineering, or related field.

Senior Data Scientist Data | Hyderabad, India | Full-Time About Salesforce We re Salesforce, the Customer Company, empowering businesses worldwide with AI, Data, and CRM. We believe business is a platform for change helping companies innovate, grow, and connect with customers in new ways. Join us to be a Trailblazer driving your career and impacting the future of business. Role Overview We re seeking an experienced Senior Data Scientist to lead development of advanced marketing attribution, causal inference, and uplift models that enhance marketing effectiveness and efficiency. You will design experiments, establish consistent measurement frameworks, and deliver impactful data-driven insights supporting marketing, customer engagement, and digital initiatives. You will own the full model lifecycle from ideation and prototyping to deployment and ongoing production monitoring ensuring rigor, scalability, and ethical application aligned with Salesforce s core value of Trust. Key Responsibilities Develop sophisticated statistical and machine learning models to optimize marketing investments (e.g., attribution, uplift, causal inference). Create algorithms for marketing spend optimization and ROI improvement across multiple channels. Lead full lifecycle model development: data exploration, design, testing, deployment, monitoring, and tuning. Design statistically sound experiments (A/B, multi-cell) to measure marketing and campaign impact. Collaborate cross-functionally with marketing, engineering, and analytics teams to operationalize measurement and experimentation frameworks. Stay updated on innovations in SaaS, AdTech, paid media, and analytics to continuously evolve modeling approaches. Advocate responsible and ethical use of data and models in line with company policies. Required Skills & Experience Master s or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields. 8+ years of hands-on experience designing marketing optimization models (multi-channel attribution, uplift, customer lifetime value, propensity). Extensive experience in experiment design and causal inference for business impact evaluation. Strong programming skills in Python, R, PySpark, Java. Expert-level SQL skills for large-scale data exploration and manipulation. Experience with cloud platforms like GCP or AWS for scalable model development and deployment preferred. Exceptional quantitative reasoning and ability to translate analysis into actionable business insights. Excellent communication skills, capable of collaborating across diverse teams. Creative problem-solving mindset with ability to simplify complex challenges. Experience with B2B customer data and Salesforce products is a plus. Work on high-impact projects using state-of-the-art AI and analytics technologies. Collaborate with top-tier data science and marketing experts. Thrive in an innovative, inclusive culture that values Trust and continuous learning. Drive real-world business transformation at a global scale. If you are passionate about marketing science and advanced analytics, and want to lead innovation in a fast-paced environment, we encourage you to apply! Qualification : Masters or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields.

Principal AI + Windows Engineer Location: Hyderabad, Telangana, India Employment Type: Full-Time About the Role We are hiring a Principal Software Engineer to lead critical initiatives for the flagship Microsoft 365 Copilot App on Windows. Join our high-caliber team in India working at the forefront of AI innovation. You will be a key contributor to building AI-powered features that enhance productivity and collaboration across platforms, including Windows, Mac, Android, iOS, and web. Microsoft 365 Copilot is a transformative AI assistant already used by over 100 million users globally. This is a unique opportunity to impact billions of lives and shape the future of AI-powered productivity at scale. Key Responsibilities Design and implement robust, scalable features for the Windows-based Microsoft 365 Copilot application. Ensure feature integration aligns with overall product architecture and design principles. Develop and maintain automation, write test plans, and provide accurate task estimates. Embrace team-wide best practices for quality, security, and performance. Demonstrate strong ownership, accountability, and a continuous learning mindset. Collaborate across global teams including Product, Design, QA, and Engineering stakeholders. Participate in agile sprints and the full software development life cycle (SDLC). Required Qualifications Bachelor s degree in Computer Science or related technical field AND 6+ years of experience in software engineering, OR equivalent practical experience. Proficiency in one or more programming languages: C, C++, C#, Java, JavaScript, Python. Strong customer-centric mindset and a passion for delivering high-impact experiences. Excellent problem-solving skills and ability to work in fast-paced, ambiguous environments. Outstanding communication and cross-functional collaboration abilities. Preferred Qualifications 10+ years of industry experience OR Master s degree in Computer Science with 8+ years of experience. Background in Office technologies or experience developing for Windows, iOS, Android, or Mac platforms. Familiarity with cloud technologies and services, preferably Microsoft Azure. Hands-on experience with agile methodologies and large-scale commercial software products. At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. We value integrity, respect, accountability, and inclusion. As part of our team, you will be immersed in a culture of innovation and growth where everyone can thrive. Work with Purpose This role offers a once-in-a-career opportunity to work on cutting-edge AI technologies that will redefine how people interact with productivity software. If you are passionate about AI, Windows platforms, and building scalable, elegant, and secure solutions, we want to hear from you. Qualification : Bachelors degree in Computer Science or related technical field AND 6+ years of experience in software engineering, OR equivalent practical experience.

Principal Engineer AI/ML (Hybrid) Location: Hyderabad, India Company: Collins Aerospace (Raytheon Technologies) Experience: 8+ Years Overview Join our Applied Research & Technology (ART) department as a Principal Engineer in AI/ML. Be part of a global team driving innovation in aerospace through advanced technologies like AI/ML, Cloud, and emerging software solutions. Key Responsibilities Lead AI/ML software architecture, development, and deployment. Deliver proof-of-concepts and technology demonstrators across global R&D teams. Contribute to international conferences and publish research papers. Identify and explore disruptive trends in AI/ML, CV, NLP, and Generative AI. Skills & Qualifications Proficiency in Python and one of C/C++/C#/Java. Strong background in AI/ML for embedded or cloud platforms (AWS preferred). Hands-on experience with MLOps and software pipelines. 8+ years in software/AI roles; 2+ years in technical leadership. Bachelor's or Master s in CS, Electronics, or Avionics. AI/ML certifications; Agile/Scrum Master certification preferred. Benefits Group health, life, and accident insurance Transportation and meal vouchers Car lease, LTA, fuel & maintenance support 18 vacation days + 12 contingency leave Employee Scholar Program and pension plan Apply Now Be a pioneer in AI/ML innovation in aerospace. Apply today and help us shape tomorrow s flight technology. Equal Opportunity Statement RTX is an equal opportunity employer. All qualified candidates will receive consideration without regard to race, gender, religion, sexual orientation, or disability status. Qualification : Bachelor's or Masters in CS, Electronics, or Avionics.

Summary: As an AI/ML Developer, you ll play a pivotal role in creating and delivering cutting-edge enterprise applications and automations using Infor s AI, RPA, and OS platform technology. Your mission will be to identify innovative use cases, develop proof of concepts (PoCs), and deliver enterprise automation solutions that elevate workforce productivity and improve business performance for our customers. Title: Software Engineer Experience: 2-5 years. Skill: AI/ML, Python, AWS, SQL Location: Hyderabad Key Responsibilities: Use Case Identification: Dive deep into customer requirements and business challenges. Identify innovative use cases that can be addressed through AI/ML solutions. Data Insights: Perform exploratory data analysis on large and complex datasets. Assess data quality, extract insights, and share findings. Data Preparation: Gather relevant datasets for training and testing. Clean, preprocess, and augment data to ensure suitability for AI tasks. Model Development: Train and fine-tune AI/ML models. Evaluate performance using appropriate metrics and benchmarks, optimizing for efficiency. Integration and Deployment: Collaborate with software engineers and developers to seamlessly integrate AI/ML models into enterprise systems and applications. Handle production deployment challenges. Continuous Improvement: Evaluate and enhance the performance and capabilities of deployed AI products. Monitor user feedback and iterate on models and algorithms to address limitations and enhance user experience. Proof of Concepts (PoCs): Develop PoCs to validate the feasibility and effectiveness of proposed solutions. Showcase the art of the possible to our clients. Collaboration with Development Teams: Work closely with development teams on new use cases. Best Practices and Requirements: Collaborate with team members to determine best practices and requirements. Innovation: Contribute to our efforts in enterprise automation and cloud innovation. Key Requirements: Experience: A minimum 3 years of hands-on experience in implementing AI/ML models in enterprise systems. AI/ML Concepts: In-depth understanding of supervised and unsupervised learning, reinforcement learning, deep learning, and probabilistic models. Programming Languages: Proficiency in Python or R, along with querying languages like SQL. Data Handling: Ability to work with large datasets, perform data preprocessing, and wrangle data effectively. Cloud Infrastructure: Experience with AWS Sagemaker or Azure ML for implementing ML solutions is highly preferred. Frameworks and Libraries: Familiarity with scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. Analytical Skills: Strong critical thinking abilities to identify problems, formulate hypotheses, and design experiments. Business Process Understanding: Good understanding of business processes and how they can be automated. Domain Expertise: Familiarity with Demand Forecasting, Anomaly Detection, Pricing, Recommendation, or Analytics solutions. Global Project Experience: Proven track record of working with global customers on multiple projects. Customer Interaction: Experience facing customers and understanding their needs. Communication Skills: Excellent verbal and written communication skills. Analytical Mindset: Strong analytical and problem-solving skills. Collaboration: Ability to work independently and collaboratively. Educational Background: Bachelor s or Master s degree in Computer Science, Mathematics, Statistics, or a related field. Specialization: Coursework or specialization in AI, ML, Statistics & Probability, Deep Learning, Computer Vision, or NLP/NLU is advantageous. About Infor: Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation.

Job Description We are looking for an energetic Technical Product Manager who is passionate about work and has the innate desire to make the product a success. The candidate will be responsible for working with the product team to drive the strategic vision and product roadmap, defining and designing the product features, and contributing to the development of customer collateral to drive the go-to-market activities. Job Profile: Work with the engineering team to drive feature development as per the sprint planning. Ensure that features built are developed correctly and can be used by end users intuitively. Review existing product features using qualitative and quantitative measures, and proactively identify improvement/optimization opportunities to improve user experience. Conduct market research and competitive analysis to guide product development and support go-to-market activities. Research relevant industry trends and features and develop recommendation pitches/proof-of-concepts for product roadmap. Develop user guides, tutorials, internal & external documents to support product release. Develop user stories for features and enhancements. Work with user experience team to create detailed feature specification(s). Iterate through prototypes and validate product with internal and external customers. Core Experience: Computer Science or related engineering degree or equivalent experience. 7 plus years of relevant experience with 3-4 years of technical foundation. Direct relevant working in conferring & collaboration, or communication space. Technical understanding of VoIP, Web RTC added advantage. Experience in working with teams with skills of Angular JS, Mean stack, Web technologies and apps (Android/iOS) or Similar frameworks. Ability to manage an engineering team. Experience working in Agile teams and deep understanding of responsibilities of a product owner in Scrum methodology. Prior working experience as a Software Engineer (or similar) using .NET, web services, desirable knowledge of AngularJS/NodeJS, RDBMS, NOSQL DB. The Nice-to-haves: Ability to communicate clearly and effectively with different functional groups, Architects, developers, business owners, and senior business leaders. Strong analytical capabilities. Should be able to understand and contextually analyze a requirement to arrive at the optimal solution. Familiarity with agile software development practices used to build and deploy web and mobile applications. Excellent oral and written English communication, documentation and prototyping skills. Product management experience with Enterprise Products. Experience in technical architecture of web/mobile applications. Experience designing user interfaces, product design and management. Experience creating examples through wire-frames and mock-ups. MBA from a recognized institute is an added advantage.

Position: AI/ML Developer Company: Infor Location: Hyderabad, India Experience: 2-5 years Skills: AI/ML, Python, AWS, SQL Role Summary: As an AI/ML Developer at Infor, you will be at the forefront of creating and delivering state-of-the-art enterprise applications and automation solutions powered by Infor s AI, RPA, and OS platform technologies. Your primary mission will be to identify impactful AI/ML use cases, develop proof of concepts (PoCs), and deliver automation solutions that drive workforce productivity and enhance business outcomes for our clients. Key Responsibilities: Use Case Identification: Work closely with customers to understand their business challenges and identify opportunities for AI/ML solutions to address these needs. Data Insights: Perform exploratory data analysis on large, complex datasets to uncover key insights. Assess data quality and share findings that can inform decision-making. Data Preparation: Collect, clean, preprocess, and augment datasets for training and testing AI models, ensuring they are ready for AI tasks. Model Development: Design, train, and fine-tune AI/ML models, evaluating them against appropriate performance metrics and optimizing for maximum efficiency. Integration & Deployment: Partner with software engineers to integrate AI/ML models seamlessly into enterprise applications and systems. Address deployment challenges to ensure smooth production workflows. Continuous Improvement: Monitor the performance of deployed AI models, gather user feedback, and iterate to improve models, algorithms, and user experience. Proof of Concepts (PoCs): Develop PoCs to demonstrate the feasibility and effectiveness of AI/ML solutions, showcasing the potential of new technologies to clients. Collaboration: Work closely with development teams to explore and implement new use cases for AI and automation. Best Practices: Collaborate with your team to establish best practices and ensure high-quality development standards. Innovation: Contribute to the innovation of cloud-based enterprise automation solutions and the development of cutting-edge AI technologies. Key Requirements: Experience: Minimum 3 years of hands-on experience in implementing AI/ML models in enterprise environments. AI/ML Knowledge: Strong understanding of supervised and unsupervised learning, reinforcement learning, deep learning, and probabilistic models. Programming Skills: Proficiency in Python or R, with experience in SQL for querying databases. Data Handling: Expertise in working with large datasets, performing data preprocessing, and effectively managing data pipelines. Cloud Infrastructure: Experience with AWS Sagemaker or Azure ML is preferred for deploying machine learning solutions. Frameworks & Libraries: Familiarity with machine learning libraries like scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. Analytical Skills: Strong critical thinking and problem-solving abilities, with the capacity to design and run experiments to validate hypotheses. Business Process Understanding: Knowledge of business processes and how they can be automated through AI and ML. Domain Expertise: Experience or interest in areas like Demand Forecasting, Anomaly Detection, Pricing, Recommendations, or Analytics. Global Experience: Proven experience in working with global customers on diverse projects, understanding their needs, and delivering tailored solutions. Communication Skills: Excellent verbal and written communication skills, with the ability to clearly explain complex AI concepts to clients and team members. Collaboration & Independence: Ability to work both independently and as part of a team, collaborating with cross-functional teams to drive success. Educational Background: A Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field. Specialization: Coursework or expertise in AI, ML, Deep Learning, NLP/NLU, Computer Vision, or similar domains is highly desirable.

Overview If so, the M65 Security Engineering at Microsoft have a great opportunity for you. We are looking for candidates to work on solutions that protect Microsoft services against cyberattacks. We are a team that values diversity of multiple fronts and believes in deep collaboration bringing the best side of technology. Our team consists of engineers with expertise in large-scale software systems, security analysis, big data, and machine learning. We delight in digging in deep to analyse the billions of events and terabytes of data generated each day by all Microsoft products and services (e.g., Azure, M365) services for evidence of suspicious activities. We ensure that critical security components are present throughout the infrastructure powering these services and that these components are kept up to date. Qualifications Required Qualifications: 8+ years of professional software engineering experience designing, building, and running cloud services at large scale in C#, .Net or any high-level programming language. Excellent coding skills, strong understanding in OOPS, design patterns and their application. Self-learner with passion for technologies. Must know Secure by Design principles. Outstanding ability to both work independently and coordinate across geographies. Outstanding ability to communicate complex ideas and concepts to a variety of cross-group stakeholders. Strong organization skills, a bias for action, and ability to deliver results. Proven ability to deal with ambiguity and drive for clarity. Excellent ability to work efficiently, prioritize workflow, ramp quickly, and meet demanding deadlines. Outstanding communication skills and collaboration capabilities. Self-learner with passion for technologies. Able to deep dive in complex areas and self-drive. Preferred Qualifications: Proficient working knowledge of cloud-computing environments like Microsoft Azure, AWS, GCP - Azure preferred. Hands on experience in an object-oriented programming language such as C#, Java or Scala. Strong software design and problem-solving skills. Experience with modern software services engineering practices such as testing in production, live monitoring, data driven engineering. Rapid prototyping and iteration skills the next line. Experience with web service development and familiar with related technologies. Basic automation scripting skills with PowerShell and developing modules. Experience building and shipping production grade software or services. Experience using agile methodologies or test-driven development (TDD) Rapid prototyping and iteration skills. Background Check: Ability to meet Microsoft, customer and/or Government security screening requirements are required for this role. These requirements include, but are not limited to, the following specialized security screenings: Microsoft Cloud background check: This position will be required to pass the Microsoft Cloud background check upon higher/transfer and every 2 years they are after. Microsoft is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, gender, sexual orientation, gender identity or expression, religion, national origin, middle status, age, disability, veteran status, genetic information, or any other protected status. Our Culture: Growth mindset we practice a learn it all vs a know-it-all attitude. Wins are cheered, failures are celebrated and viewed as learning opportunities. Candour we believe in transparency and receiving and providing regular constructive feedback across the hierarchy. Diverse and Inclusive every voice matters and is appreciated. This is a safe environment where you can express yourself without fear of retribution. Leadership oriented each of us are leaderswho strive to create clarity, generateenergy,and deliver success.We believe in leading withempathy,trust,andcontext rather than control. Responsibilities Write well designed code with an emphasis on quality, maintainability, scalability, and performance. Analyse security threats to M365 and build monitoring components to address those threats. Solid understanding of Design and implement to enable real time, highly scalable, performant, and sustainable solutions. Deliver automated and well-tested features across different services and platforms. Use engineering best practices throughout the software development lifecycle to establish maintainable, reliable, and secure systems. Collaborate with teammates in various roles to plan and execute on key deliverables. Work in a culture of continuous improvement, adaptation, reflection, and growth. Learn quickly from your peers, projects, and interactions with customers. Provide on call support and monitor the health of services in production as part of DevOps culture. Execute the Dev-Sec-Ops approach to software delivery by designing, coding, testing, deploying and operating components of Microsoft 365 security monitoring system.

Job Title: Manager - Data Science Location: Hyderabad Department: Data Science Employment Type: Full-Time, Permanent Role Overview: As a Manager - Data Science at Blend, you won t just manage you'll lead by doing. This role demands strong hands-on expertise in Machine Learning (ML), Generative AI, Python, SQL, and any cloud environment (GCP, Azure, or AWS). You will stay deeply engaged in the technical side while mentoring and growing a high-performing team. You ll be responsible for leading end-to-end AI/ML project execution, collaborating with cross-functional teams, and driving innovation within Blend's Data Science practice. If you love solving complex problems, thrive in a fast-paced environment, and can translate business challenges into cutting-edge AI solutions, we d love to have you on board! Key Responsibilities: Delivery & Project Management: Lead the development and implementation of ML models, Generative AI solutions, and predictive analytics. Perform data mining, feature engineering, and statistical analysis to extract meaningful insights. Own project roadmaps, ensure quality control, and drive timely delivery of projects. Collaborate with Data Engineering teams to deploy and operationalize ML models. Automate and optimize workflows to enhance efficiency and streamline processes. Practice Development: Contribute to the scaling of Blend s Data Science practice by building new capabilities. Design industry-specific AI/ML solutions and contribute to thought leadership in AI/ML. Evaluate emerging AI trends and tools and integrate them into Blend s ecosystem. Lead innovation initiatives, research, and internal AI development. People & Leadership: Mentor and develop a high-performance data science team. Guide team members' career development and set performance benchmarks. Collaborate with cross-functional teams to ensure seamless execution of projects. Qualifications: Experience: 8+ years in Data Science & AI, with hands-on expertise in ML, Generative AI, Python, and SQL. Strong knowledge of ML algorithms (Classification, Regression, Forecasting, NLP, LLMs, Optimization, etc.). Proven experience in end-to-end ML deployment, including working with Azure, AWS, GCP, or Databricks. Industry Expertise: Demonstrated ability to solve complex business challenges in Retail, CPG, BFSI, Healthcare, or eCommerce. In-depth understanding of statistics, probability, stochastic processes, and causal inference. Excellent communication skills with the ability to explain AI concepts to non-technical stakeholders. Experience with big data tools such as Hadoop, Hive, PySpark, and ML pipelines. Bonus: Experience with Google Analytics, Adobe Analytics, or digital marketing analytics. Education: Bachelor s/Master s degree in Computer Science, Statistics, Math, Operations Research, or a related field. What You Get in Return: Competitive Salary: Your skills and contributions are highly valued, and we ensure your salary reflects your expertise and experience. Dynamic Career Growth: Our vibrant environment offers opportunities for rapid growth, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks: Our Idea Tanks offer a space for you to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats: Engage in casual Growth Chats to learn from the best, whether it s over lunch or a laid-back session with peers. Snack Zone: Enjoy a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards: Expect regular Hive-Fives, shoutouts, and the chance to see your ideas come to life as part of our reward program. Fuel Your Growth Journey with Certifications: We support your growth by covering the cost of certifications to level up your skills. If you're ready to lead cutting-edge AI projects and grow within a dynamic team, Blend is the place for you. Apply today to be part of an innovative and collaborative culture! Qualification : Bachelors/Masters degree inComputer Science, Statistics, Math, Operations Research, or a related field.

Tezo: Digital & AI Solutions Provider Tezo is a next-generation Digital & AI solutions provider with a history of creating remarkable outcomes for our customers. We deliver exceptional experiences through cutting-edge analytics, data proficiency, technology, and digital excellence. Job Title: Senior Data Scientist Generative AI Job Summary: Tezo is seeking passionate AI Engineers to harness the power of Generative AI and build cutting-edge solutions that transform enterprises. Join us in revolutionizing the business landscape by developing intelligent, generative AI models that drive real-world impact at scale. In this role, you will be an integral part of the Machine Learning Platforms/Data Science team, focusing on developing, testing, and deploying Generative AI models for enterprise use cases. You ll work closely with architects, developers, and product teams to deliver state-of-the-art AI solutions. What Makes Our AI/ML Practice Unique: Purpose-Driven: We actively respond to our customers' evolving needs with innovative solutions. Collaborative: We foster a positive and engaging work environment where collective ideas thrive. Accountable: We take ownership of our performance, both individually and as a team. Service Excellence: We maximize our potential through continuous learning and improvement. Trusted: We empower individuals to make informed decisions and take calculated risks. Core Responsibilities: Build production-grade Retrieval-Augmented Generation (RAG) solutions with advanced retrieval, re-ranking, and optimization techniques. Develop GenAI applications using LangChain, LlamaIndex, and Vector Stores, leveraging Large Language Models (LLMs). Fine-tune LLMs for specific business use cases (preferred). Design and implement end-to-end machine learning and NLP solutions, including data preprocessing, modeling, and deployment. Deploy ML solutions in production using cloud services such as Azure or AWS. Collaborate with business stakeholders to ensure alignment of AI solutions with organizational goals. Lead and mentor team members, promoting best practices in data science and AI/ML. Qualifications: Required: 4+ years of experience in developing end-to-end machine learning and NLP projects. Hands-on experience with Retrieval-Augmented Generation (RAG) and advanced RAG techniques. Proficiency in building GenAI applications using LangChain, LlamaIndex, and Vector Stores. Strong expertise in Python and SQL for data science projects. Experience deploying ML models in production environments on Azure or AWS. Strong business acumen, stakeholder management, and team-leading skills. Preferred: Experience fine-tuning Large Language Models (LLMs) for business use cases. Familiarity with cloud-native AI/ML services and scalable architecture. At Tezo, you ll be part of a dynamic, innovation-driven team committed to delivering cutting-edge AI solutions that drive real-world transformation. If you re ready to take on exciting challenges and work on impactful projects, we d love to hear from you!

Job Responsibilities Lead discussions, design, and architect strategic initiatives from Customer Value Engineering, including performance optimizations and enterprise solution integrations. Maintain and organize a Systems/Integration repository across the Planful ecosystem to enhance reusability, rapid deployment, and scalability. Develop customized solutions within the Planful platform to support specific business requirements and Customer Value Engineering goals. Collaborate with Engineering architects on development initiatives for new features, focusing on scalable logging and methods to increase Planful customer adoption. Research and monitor application usage trends to deliver proactive insights for Customer teams and optimize application health. Enhance integration monitoring and alert capabilities across the Planful platform. Qualifications Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or equivalent experience. 1+ years of experience with SQL Server, SSAS, MDX, SSRS, and MongoDB. Proficiency in Python, Redis, JavaScript, jQuery, Node.js, HTML5, and CSS3. Experience in SOAP and RESTful web services. Experience with .NET and Java-related application development technologies. Technical expertise in developing reports, integrations, extensions, workflows, and other components. Experience with SQL Sentry, Sumo Logic, and other monitoring tools for workflow and monitoring setup is preferred. Excellent verbal and written communication skills at all organizational levels. Preferred Qualifications Minimum 1 year of experience with planning and analytics software, digital transformation, or cloud-based analytics solutions (Planful experience preferred). Working knowledge of income statements, balance sheets, cash flow statements, budgeting, forecasting, and financial consolidations. Hands-on experience leading or participating in data integration projects using enterprise-grade ETL tools (Boomi experience highly desirable). Knowledge of cloud platform scaling and performance optimization. Excellent written and verbal communication skills. Qualification : Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or equivalent experience

Job Overview Qualcomm is a leading technology innovator, driving digital transformation to enable smarter, connected experiences for all. As a Software Engineer within the LLVM Tools Group, you will work on the LLVM toolchain for various architectures like ARM, Hexagon, and RISCV. This toolchain includes a range of tools such as compilers, linkers, debuggers, and profilers. As part of the QA and Support team, your primary role will be to ensure that software products are reliable, functional, and meet the required quality standards. You will collaborate with development teams and customers to address issues and improve software throughout the development lifecycle. Key Responsibilities Test Planning: Develop comprehensive test plans and test cases based on software requirements and specifications. Test Execution: Perform manual and automated testing to identify defects and ensure software functionality. Bug Reporting: Analyze test failures/regressions and report bugs to the development team, ensuring timely tracking and resolution. Collaboration: Work closely with developers and customers to understand software design, provide feedback on improvements, and actively participate in process improvement efforts. Documentation: Maintain detailed documentation of test procedures, results, and issues encountered during the testing process. Quality Assurance: Ensure the final product meets Qualcomm s quality standards and customer expectations. Minimum Qualifications Education: Bachelor s or Master s degree in Engineering, Information Systems, Computer Science, or a related field. Experience: 2-5 years of experience in software quality assurance or software customer support. Programming Skills: Experience with programming languages such as C, C++, Python, etc. Preferred Qualifications Embedded Systems/Kernel Testing: Experience with software development and testing on embedded systems, Linux kernel, or firmware. Testing Toolchain: Hands-on experience testing compilers and embedded software development toolchains. Automation: Experience in software refactoring, test automation, and machine learning. Tools: Proficiency in tools like Perl, Python, shell scripting, make, cmake, and git. Command-Line: Experience working on both Windows and Linux environments. Development Tools: Knowledge of compilers, assemblers, linkers, and simulators used in software development. Test Automation: Experience in architecting and developing test automation tools (web, embedded systems). Problem Solving: Expert-level analysis, diagnosis, and troubleshooting abilities. Communication: Strong presentation and communication skills to effectively share insights with cross-functional teams. Qualification : Bachelors or Masters degree in Engineering, Information Systems, Computer Science, or a related field.

Introduction At IBM, work is more than a job it s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world s most challenging problems? If so, lets talk. Your Role and Responsibilities We re looking for software development candidates that want to turn ideas into reality, focus on innovation and development in our modernization journey. Our Strategic Product Development team creates and delivers exciting product features that impact the business to be successful. You ll work alongside global and local multidisciplinary teams of Developers, Architects and Analysts focused on the next generation of solutions. Do you enjoy working and thrive in a Challenging yet collaborative team environment? Passionate about technology and software? You have extremely strong analytical, problem-solving and troubleshooting skills? If so, you ll fit right in with our team. You employ creative thinking and collaboration as the foundation of your daily approach towards our Product development team. At IBM, job is more than work! It offers you thrive on career as well as on skills to be latest with a perfect work-life balance. Required Technical and Professional Expertise 2 10 years of relevant industry experience in Artificial Intelligence and Machine Learning Platforms with specialization in Generative AI. Solid experience of Python Programming Language. Experience with Large Language Models and Natural Language Processing Familiarity with the Pytorch framework Experience with software development lifecycle Excellent problem determination skills Excellent written and oral communication skills Excellent organizational skills Preferred Technical and Professional Expertise Design experience for supporting new requirements. Willingness to learn new skills and technologies. Experience using git and github Familiarity with Node.js and creating VS Code extensions Flexible to work between development/test/support roles. Knowledge on other programming languages (C/C++, Java, Open-Source Programming Languages) is added advantage.

The Test & Device Automation team is responsible for developing automation tools for various domains, including Mobile, MDM, Compute, Automotive, XR, and VR. These tools operate on both host systems and devices, enabling automated testing and optimization of Qualcomm Snapdragon platforms. The engineer will participate in design discussions, analyze system requirements, sustain software interfaces, and develop tools to support emerging technologies. Key responsibilities include integrating new features from Android, Windows, XR, and Automotive platforms into automation tools. Key Responsibilities: 1. Tool Development: Create and optimize automation test tools for multiple platforms (Android, Windows, XR, Auto, MDM). Design and develop software interfaces for Qualcomm Snapdragon platforms. 2. Feature Integration: Monitor upcoming API and feature changes in Android and other platforms. Incorporate updates into automation tools to maintain compatibility with new technologies. 3. Problem-Solving & Risk Analysis: Identify end-to-end use cases and risks for integrating new technologies. Address software impacts and incorporate improvements into the tools. Minimum Qualifications: Education: Required: Bachelor s degree in Engineering, Computer Science, or related field with 3+ years of relevant experience. Master s degree with 2+ years of relevant experience. PhD with 1+ year of relevant experience. Experience: Technical Skills: Strong proficiency in C#, C++, Python, and Android programming. Solid understanding of Data Structures and their applications. Proven experience in software test engineering and automation tools development. Familiarity with Source Code Control Systems, Continuous Integration Tools, and Bug Tracking Tools. Other Skills: Analytical and problem-solving abilities. Effective planning, time management, and decision-making skills. Excellent communication and teamwork skills. Preferred Skills: Insight into Android/Windows platforms and their architectures. Experience working in large organizations. Familiarity with XR, VR, and Automotive platforms. Work Environment & Accessibility: Qualcomm is an Equal Opportunity Employer, committed to providing accessibility accommodations during the hiring process for individuals with disabilities. Qualification : Bachelors degree in Engineering, Computer Science, or related field with 3+ years of relevant experience.

Description Einstein products & platform democratize AI and transform the way Salesforce builds trusted machine learning and AI products - in days instead of months. It augments the Salesforce Platform with the ability to easily create, deploy, and manage Generative AI and Predictive AI applications across all clouds. We achieve this vision by providing unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces and various microservices for the entire machine learning lifecycle including Data, Training, Predictions/scoring, Orchestration, Model Management, Model Storage, Experimentation etc. We are already producing over a billion predictions per day, Training 1000s of models per day along with 10s of different Large Language models, serving thousands of customers. We are enabling customers' usage of leading large language models (LLMs), both internally and externally developed, so they can leverage it in their Salesforce use cases. Along with the power of Data Cloud, this platform provides customers an unparalleled advantage for quickly integrating AI in their applications and processes. About the team: Join the AI Cloud Quality Engineering team, and become a specialist on Salesforce's AI Platform and applications! You will be a key member of the Quality Engineering team in India as we build the India organization, while working with experts worldwide. You'll get to work with latest technology in the AI space (including generative AI), and collaborate with the team and cloud to identify and run quality initiatives to support massive scale planned both in the short term and long term. We are a small, friendly team that has been working together for years - outside of quality, we focus on volunteering and other shared interests. Job description summary: As a Quality Engineer for the Salesforce AI Cloud, you will be responsible for leading the design, development and execution of comprehensive test plans/quality strategies with emphasis on automation . You will collaborate closely with product & engineering teams, actively contributing to the quality of new features while ensuring successful execution of regression tests in various environments. You will be working in a fast phased environment and will be expected to understand complex backend AI flow systems/dependencies, identifying potential risks, and strategically plan and execute comprehensive testing efforts to ensure the stability, reliability and quality of the feature and release. Skills needed for role: * Strategic and Tactical leadership : Experience leading analysis of coverage gaps and writing E2E and integration tests, partnering with teams to drive service level test coverage * Technical Expertise: Technical excellence and leadership required in identifying, developing and maintaining tests involving API, databases and web UI tests. Strong knowledge of automation tools and continuous automation systems. * Cross Team Collaboration: Ability to work with stakeholders (internal customers) from multiple organizations that leverage our central platform for custom applications. Collaborate with them to determine key shared usage patterns to prioritize test coverage of, as well as provide guidance to these customers on how to proactively test their application s integration with the platform. * Strong knowledge and experience of Java/Python/Selenium/CD pipeline configurations * Excellent communication skills: Experience generating reports, presenting and holding the quality bar for new features & release * Experience working in Global teams: Ability to work and partner with peers and other partner teams across timezones. * 8+ years of QE experience and 2+ years of experience leading projects and partnering/leading junior members of the team. Nice to have skillsets (or skillsets expect to develop in this role): * Understanding of LLM Model hosting with Sagemaker * Understanding LLM Finetuning and Inferencing * Testing integrations with Cohere, Anthropic, Dolly, Google, etc. as well as internal models * Sagemaker GroundTruth integration for data labelling, Bedrock for model serving * Experience with Azure Open AI * Experience with Tableau around creating dashboards for reporting What the team does: * Center of Excellence for Quality within the AI Platform teams, driving excellence through automation, tools, and streamlined processes (evangelizing shift left methodologies) . * Building/enhancing test frameworks/tooling for the easy creation and maintenance of integration and end-to-end tests. * Proactively drive quality by monitoring and reporting of test stability metrics for pre-prod & Prod environments through dashboards, triaging and filing and follow up of bugs. * CUJs(Critical User Journey test) for cross-cloud integration and apps * Configure tooling/runners for automated tests, used by scrum teams * Configure various test environments such as setting up core test env hawking test env connectivity * Define and measures Quality metrics (code coverage, endpoint coverage, service coverage, etc.) goals are met for the ML foundations * Automation strategies and framework support for all kinds of testing * Identify risks with releases, deployments, etc. * Support TAM expansion to multiple geographies and monitoring platform stability * Daily management of Integration tests pass rates in Test, App-Dev, Stage & Prod environments - bugs created/assigned if failures not being addressed, building test result dashboards and simplifying feedback/debugging process for engineers

When you mentor and advise multiple technical teams and move financial technologies forward, it s a big challenge with big impact. You were made for this. As a Senior Manager of Software Engineering at JPMorgan Chase within the Consumer and Community Banking, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities. Job responsibilities Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks Be accountable for decisions that influence teams resources, budget, tactical operations, and the execution and implementation of processes and procedures Ensures successful collaboration across teams and stakeholders Identifies and mitigates issues to execute a book of work while escalating issues as necessary Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team Leads teams to deliver engineering results with direct business and customer impacts, on time and on budget. Works has impact to immediate team and impacts additional teams and functions. Partners with product, architecture, and other engineering teams to define scalable and performant technical solutions. Leverages deep technical expertise to design extensible and scalable solutions, and to coach and grow individuals and teams. Ensures team executes work according to compliance standards, SLAs, and business requirements, to meet the objectives of an initiative. Anticipates the needs of broader teams and potential dependencies with other teams. Identifies and mitigates issues to execute a book of work while escalating issues as necessary. Proactively helps maintain high operational excellence standards for our production systems. Encourages development of technological methods and techniques within team. Coaches agility lead and team to effectively leverage Agility practices. Creates a culture of diversity, equity, inclusion, and respect for team members and prioritizes diverse representation. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Experience leading teams of technologists Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives Experience with hiring, developing, and recognizing talent In-depth knowledge of the services industry and their IT systems Experience leading at least two scrum teams of technologists. Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives. Experience with hiring, developing, and recognizing talent. Requires depth of knowledge and experience in two of the following areas, with developing knowledge in the others. High throughput, low latency micro service development leveraging AWS services such EKS, ECS, Fargate, ELB, etc. High throughput near real time stream processing with services such Kinesis, Flink, ECS, EKS, etc. High volume feature engineering with services such EMR. Experience leveraging trained model artifacts in newer model architectures and approaches such as neural networks, embeddings, multi arm bandits, etc. Prior hands-on coding experience with two or more of Java, Python, SQL. Experience with recommendation and personalization systems is a plus. Preferred qualifications, capabilities, and skills Experience working at code level